nx1.info | News
Last updated: 15/10/2026 03:42:12Google News
Ukraine's Starlink restrictions raise suspicions of Musk, Trump retaliation - Axios Oil price hikes, Saudi-Houthi strikes carry on amid Trump's midterm pause on Iran war - Fox News Trump’s new press secretary faces scrutiny over claims to be a lawyer - The Guardian Supreme Court sides with Republicans in dispute over cost of campaign ads - Los Angeles Times Sexual Assault Report at Chicago Frat Upends Another Elite Campus - The New York Times New Texas Senate poll shows where the race stands before early voting - USA Today ICE officer appeared to intentionally hit a man with a vehicle in Houston, Texas prosecutor says - PBS Capitol agenda: Some Republicans write off the House - Live Updates - Politico Man who died falling from Six Flags roller coaster was celebrating niece’s birthday, relative says - WSB-TV Trump says Taiwan will buy Alaska LNG. The project is still in flux. - Politico Pope Leo slept well after cancer surgery, but recovery could take ‘longer than expected’ - NBC News World’s oldest shipwreck discovered off coast of Turkey - The Conversation Iranian attacks sink two ships in Strait of Hormuz - The Washington Post UK threatens to ban Eritreans over migrant return policy - BBC Nasdaq ends sharply lower as hot inflation data stirs rate-hike worries - Reuters AI giant Anthropic sees revenue surge ahead of stock market listing - BBC 'Yikes': CoreWeave stock tanks on bond yield woes, CEO blames market acting 'irrationally' - Yahoo Finance Global tech sell-off deepens as Asian markets tumble - Financial Times Apple’s New HomeView Is an Apple Watch Jammed Into an iPad Powered by CarPlay Slapped on a HomePod - The New York Times Epic says its new vibe-coded Epic Games Launcher is faster than Steam - Ars Technica iPhone Duo's A20 Pro Chip Benchmarked Ahead of Launch - MacRumors How the Zelda Ocarina of Time remake changes the classic game’s script - Game File | Stephen Totilo Kate Gosselin breaks silence on son Collin Gosselin's explosive memoir claims - USA Today Aaron Paul Posts Video of ‘Breaking Bad’ Co-Star RJ Mitte Advocating for Mental Health Before His Death: ‘I’m So Sorry You Were Hurting’ - Variety Diddy injured in prison fight with notorious drug kingpin: Reports - NewsNation A-list actress ‘blindsided’ by ex-husband’s ‘false’ claims she abused their son - NJ.com Chourio's history-making 1st-pitch HR comes 1 year to the day after he did the same thing! - MLB.com How NFL trade deadline sellers could shake up fantasy football - The New York Times Farid Basharat removed from UFC roster despite 7-0 octagon run - MMA Fighting Brewers vs Dodgers Prediction, Odds: Expert MLB Pick for NLCS Game 3 - Action Network New dinosaur species, a T. rex cousin that "would have chased us," identified from fossil found 100 years ago - CBS News SpaceX rocket launch causes stunning ‘jellyfish cloud’ visible off US east coast - The Guardian Earth’s Condition Is ‘Serious and Getting Worse’ as Climate Change Intensifies - WIRED Stanford discovers way to save ghostly corals from the brink - SFGATE With AI platform, patients could chat with medical devices to improve health - The Washington Post Pennsylvania doctors are seeing what measles can do to previously healthy, unvaccinated kids - NBC News These common infections can cause cancer. Here’s what can lower your risk. - The Washington Post Measles cases surge past 150 in Kentucky; big outbreak identified in one county - WLKYBBC News
Musk says US government may be behind slowdown of Ukraine drone speeds Why Zelensky's meeting with Burnham matters Russell Brand was a 'sexual predator', prosecution alleges as rape trial begins Sally Rooney books withdrawn in UK over Palestine Action support Drop-off charges at UK airports to be reviewed after sharp increase Reform faces criticism after councillors filmed making racist comments White House defends new press secretary amid questions about her legal credentials UK threatens to ban Eritreans over migrant return policy Brooklyn novelty shop reeling from 'surreal' row with Kelly Clarkson over mechanical bird Dog that hunts invasive 'sea vomit' honoured as animal of the year Swimmer Archie Goodburn thanks prime minister as brain cancer review announced Container ship hit by projectile sinks in Strait of Hormuz, Singapore says Why is Starlink internet so important on the battlefield in Ukraine? How backlash against data centres could shape the US midterm elections Wales has a school standards crisis. Will plans to fix it actually work? How West Midlands shed its gun crime capital label The Papers: 'Zelenskyy blames Trump' and Brand a 'sex predator' I'm 12 and I want to try protein powder - should I? What if you could turn off your algorithm? Australia is about to try Sign up now What we know about the Pope's lung cancer diagnosis Shipwreck thought to be 4,700 years old found off coast of Turkey Netflix to shed 1,000 jobs in steepest cuts since 2022 US inflation rises more than expected - here's what is happening with prices I do not have confidence UK is safe from Russian threats, says Swinney Civil servant faked illness with make-up to juggle five jobs, court hears BBC News app Unravel the secrets of a priceless piece of British history Guardiola's return, Man City's defiance - and a game of glorious chaos On night of mayhem for Liverpool, Barcola arrives in style Martinez outburst came out of 'anger and frustration' PSG on 'different level' - are they building greatest European dynasty? Jackson steps up again as Aston Villa revival continues Man City show fight but fall short of fightback against slick PSGFinancial Times (World)
Global tech sell-off deepens as Asian markets tumble Brazil abolishes six-day workweek in win for Lula ‘We have to live with it’: Indonesia’s worst fires in years wreak havoc Anthropic tells investors quarterly revenue up nearly 50% to $16.8bn ahead of IPO US floats unfreezing some Russian assets to restart Ukraine peace talks Tata battle has potential to reshape India Inc One in 6 UK disability benefit claimants should not receive cash, says think-tank Top UK law firms pull away from smaller rivals in race for profits Burnham wants to ‘repair bridges’ between Trump and Zelenskyy OpenAI employee accused of bugging office booked one-way ticket to Saudi Arabia FirstFT: Marine Le Pen gears up for EU fight Ukraine blindsided by Starlink restrictions and intelligence gaps OpenAI claims employee sent secret device information to Apple Badenoch sounds ‘alarm’ on potential Budget tax raid on banks Fed’s October Beige Book points to higher inflation US chip stocks slide as inflation and AI debt fears unsettle investors Perella Weinberg and Piper Sandler abandon merger talks Berkshire Hathaway adds $330mn to stake in tech group Bending Spoons US inflation jumps to 3.7% as Iran war drives up prices Ministers to launch probe of English mayoral authority led by Ben Houchen Sally Rooney withdraws books from UK sale over support for Palestine Action London charity trustee leads Iranian propaganda body, tribunal hears Palantir drops legal case against Sadiq Khan over cancelled £50mn contract Healey’s Budget is a moment he must not miss Transcription: Marine Le Pen en entretien avec le Financial TimesFinancial Times (UK)
One in 6 UK disability benefit claimants should not receive cash, says think-tank Top UK law firms pull away from smaller rivals in race for profits Burnham wants to ‘repair bridges’ between Trump and Zelenskyy Badenoch sounds ‘alarm’ on potential Budget tax raid on banks Ministers to launch probe of English mayoral authority led by Ben Houchen Sally Rooney withdraws books from UK sale over support for Palestine Action Palantir drops legal case against Sadiq Khan over cancelled £50mn contract Healey’s Budget is a moment he must not miss Burnham rules out coalition with Greens while ‘Zionism is Racism’ policy remains Unshackle workers from non-compete clauses Inflation and interest rates tracker: see how your country compares Who should we leave our pensions to? Government finally signals action on AI Top London private school reverses plan to scrap GCSEs Healey set to pay for Budget giveaways without more borrowing Path to Scottish independence back in spotlight at SNP conference Home of London’s oldest restaurant, Rules, given to National Trust Tougher competition for internships strains UK graduate jobs market ‘Pro-business’ Burnham reassures chief executives on tax Number of UK Isa millionaires jumps 50 per cent in a year Why we need a proper conversation about death Healey rejects calls to equalise capital gains and income tax rates Iran has made ‘major shift’ to target UK military sites, says MI5 chief How governments spend money UK chances of keeping £3.8bn bitcoin haul rise after High Court rulingThe New York Times
22 People Got Together For a Dinner Party. So Did Their A.I. Agents. Rogue A.I. Agents from China Chatted with Researchers F.B.I. Arrests OpenAI Employee Accused of Planting Bug in Office Apple Introduces HomeView, a $299 Tablet for the Home OpenAI Engineer, Who Is Charged With Planting Bug, Advised Saudis Anthropic Says Revenue Jumped 45% to $16.8 Billion in Third Quarter Netflix, Facing Slowing Growth, Cuts 6% of Its Work Force Senators Question Meta’s Data Center Tax Strategy NASA’s Perseverance Rover Sets a Mars Driving Record Meta Unveils New Series of Advanced A.I. Models Is Universal Basic Income the Answer to A.I.-Fueled Job Losses? The Times’s New Space Editor Has Her Eye on the Cosmos Three Mark Zuckerbergs, Three Surprisingly Different Men Justice Dept. Is Investigating TV Networks Over Trump Pool Coverage Anthropic Agents Tried to Fill Out Visa Forms on State Dept. Website Elon Musk, Delta Airlines and a Feud Over In-Flight Wi-Fi Anthropic’s Quest to Give A.I. Morals Inside Mark Zuckerberg’s Decision to Pull the Trigger on Meta’s A.I. Agent In Alex Gibney’s ‘Musk’, the Answer to the Trillionaire’s Power Is Unsatisfying. What to Know About the Facebook Whistle-Blowing Case Depicted in ‘The Social Reckoning’ Clinical Trial Indicates A.I. Chatbots Could Aid Urgent Care Before Computer Science Became a Boys’ Club, Margaret Hamilton Wrote the Code Man vs. ‘Terminator’-Like Robot in a Cage. California Called It Illegal.The Guardian
Zimbabwean author Simbarashe Kundizeza denies using AI to write prize-winning story Guinea-Bissau denies it has approved controversial vaccine trial in newborns Controversial vaccine trial touted by RFK Jr gets go-ahead in Guinea-Bissau ICJ judge Navi Pillay wins Nobel peace prize for promoting international law Isaias strengthens to become first Atlantic hurricane of 2026 season Brazil cuts work week to 40 hours in win for Lula ahead of runoff Joni Mitchell becomes US citizen: ‘A journey that began 62 years ago’ Intense waves and floods batter California waterfront homes and boardwalks UK asks Interpol to reject Argentina’s ‘politically motivated’ requests for Falklands oil arrests How a scandal engulfing Brazil’s top court could return the Bolsonaros to power UK’s ‘incoherent’ approach to China plagued by lack of expertise, report says Russia arrests Japanese journalist on allegations of spying Graduate student accused of poisoning colleague and trying to flee to China arrested at LAX Indonesia wildfire fuelled by El Niño razes almost 300 homes EU to limit Chinese hybrid vehicle imports to 350,000 a year Australian politics live: Wells says ‘manosphere’ podcasts and moon landing conspiracies allowed under Labor duty of care reform Senior Victorian public servants hid loss of up to $285m from Covid grants given to ineligible businesses Labor and Coalition block bill that would ban incarcerated women being shackled in childbirth As One Nation rises, Victorian Labor has promised to make abortions free. Is the timing pure politics? Paddington: The Musical is coming to Sydney in 2027 Student protests in Albania turn violent as demonstrators clash with police Pope Leo’s recovery from lung cancer surgery ‘progressing as planned’ In Ukraine, civilian casualties were already rising. Restrictions on Starlink will only worsen the death toll Ukrainian military’s access to Starlink satellite internet suddenly restricted Mont Blanc, the ‘roof of Europe’, loses more than a metre of height in a year Israel blocks construction of key Gaza base created by Trump peace board Two container ships sink near strait of Hormuz amid surge in Iranian attacks New UK sanctions powers will enable action against supporters of illegal Israeli settlements Iranian woman handed death sentence for ‘blasphemy’ in social media post Saudi Arabia strikes oil depots in Yemen and says missiles launched toward location of Saudi Aramco HQ India’s cockroach protesters defy Modi’s crackdown – The Latest Leaders of India’s Cockroach party jailed for violating ban on protest site ‘How do you explain the deletion of 130 million names?’: why Indian voters are on the streets Shock, anger and a crackdown: why a contentious electoral revision has sparked outrage Indian opposition figures lead march to police barricades around supreme court Stopping Pip for ADHD or autism would not make big savings, says thinktank Volodymyr Zelenskyy feels ‘betrayed’ by Donald Trump over Starlink access UK hospitality sector to offer up to 100,000 jobs to young people out of work Reform UK councillors and candidates filmed making racist and extreme comments OpenAI’s London staff receive average of £2.3m per person annually Texas Democrat James Talarico faces grilling from voters at town hall in tight Senate race Trump tries to rally support for Republican candidates as top Super Pac for Senate Democrats pours millions into key races – as it happened Sexual assault reported at frat house near University of Chicago Lawyers for man shot by ICE in New York City say agent did not identify himself Ilhan Omar’s phone seized and relatives subpoenaed in criminal inquiry, source saysHacker News
The Double Headed Stack Allocator LFM2.5-24B-A2B: Built for fast on-device agents Tiny Little Office We’re releasing Jev 1.14.0 along with experimental features for dreamers OpenCode 2.0 Anthropic's Scion is heavily inspired by Mononoke Yandex outage: data shows that instead of going dark, malicious bots moved Fancy Curl Sites Things to know when you get cancer Suicide rates highest ever among middle-aged men Fire at Starlink site in Bulgaria after suspected sabotage in Poland Banks are now trying to offload the AI data center debt they just underwrote Show HN: Petal, open-source CoScreen/ScreenHero finally free Virtual Oxide Labs: Emulating a Full Oxide Rack Containment and monitoring failures are to blame for AI hacking reports: experts Show HN: I wrote an email app that accepts only one sender per inbox Has AI tells Better HTTP/1 connection reuse in Go 1.27 Google is silently linking your phone number across all signed-in accounts Americans' social activity has steeply declined in the past 30 yearsArxiv astro-ph.HE
An All-Sky Search for Moving Gamma-Ray Sources with Fermi-LAT A Pipeline for the AI-Assisted Analysis of Imaging X-ray Polarimetry Explorer Observations of Black Hole X-ray Binaries and Limits on Their Polarization Variability The effect of triples on the Chemically Homogeneous Evolution Channel for producing Gravitational Wave Sources Reawakening of GS 1843+00: A Multiwavelength Study of its 2026 Giant X-ray Outburst Impact of Decay-Chain Feeding by Long-Lived Heavy Nuclei on Nuclear Cosmochronology Magnetar X-ray flares as elementary reconnection events in a self-organized critical magnetosphere A GeV Gamma-Ray Spectral Excess in the Fermi Blazar 4FGL J0136.5+3906 Mapping the Contracting Corona in GS 1354-64 with Insight-HXMT and XRISM: Evolving X-ray Lags and Quenched Reflection across a Complete State Transition Revisiting the Multiwavelength Data of GRB 240825A: Implications for a Two-Stage Central Engine and a Dusty Environment Bayesian exploration of weakly interacting models of dark matter admixed neutron stars based on multi-density constraints Rotating Vector Model predictions in millisecond pulsar magnetospheres with dipole and quadrupole field components Radiation-Regulated Spherical Accretion with an Inner Accretion Disk Equation of State Classification of Core-Collapse Supernovae with a Network of Gravitational-Wave Detectors Direct Observational Constraint on Upstream Magnetic Field Amplification Reveals the Particle Acceleration Limit in a Supernova Remnant Blackbody evolution and circumstellar medium properties of broad-lined H-rich superluminous supernovae The Thousand-Pulsar-Array programme on MeerKAT - XX. Co-existing interacting periodicities and polarization modulation in PSR J1901-0906 Double Detonations on a Moving Mesh with $\texttt{Cattails}$: Characterizing Early Reddening in SNe Ia An end-to-end experimental pipeline for automated track identification for paleo-detectors Indirect Dark Matter Detection in the Multi-Messenger Era: Experiments, Systematics, Anomalies, and Prospects for Discovery MRI Turbulence versus $\alpha$-Viscosity in Circumbinary Disks: Implications for Gravitational-Wave Dephasing and Accretion Variability Radio and Gamma-Ray Timing of a Newly Discovered Millisecond Pulsar Scaling Up: A Global Optical/X-ray Correlation For Reprocessing Across Black Hole Masses Discovery of 51 pulsars in a reanalysis of the Green Bank North Celestial Cap Survey and a revised pulsar census Observational evidence of black hole event horizon from ultra-compact X-ray binaries The Promise of Gravitational-Wave Astronomy IC 1297: The Most Distant Known X-ray Planetary Nebula and One of the Most Luminous A0538-66: A transient ultraluminous X-ray source with a relativistic outflow, 69ms pulsations, and anomalous optical activity Low-frequency spectra and scattering of pulsars towards the Gum Nebula with the MWA Fast Radio Bursts from Monster Shocks and Flares of Inspiraling Binary Neutron Stars: A Kinetic Model for Double Pulsar Cell-based theoretical criteria on the onset and stability limit of thermonuclear detonation Two sides of the same spin: tracking optical and radio pulsations of SAX J1808.4-3658 from outburst to quiescence Reconstruction of Interstellar Cosmic Ray Anisotropy via Heliospheric Propagation Modeling and SVD Inversion Delving into the depths of NGC 3783 with XRISM VI. Evidence for a failed wind based on Fe xxv absorption line variability Broadband non-thermal emission predictions based on 3D simulations of supernova explosions within active galactic nuclei jets The ePESSTO+ census of ZTF nuclear transients. I. What flares in galactic nuclei? Multimessenger Constraints on Nuclear Acceleration in Neutrino-Emitting Seyfert Coronae The compact jets of the black hole X-ray binary Swift J1753.5-0127 during its 2023-2024 outburst Evidence for Distinct One-Off and Repeating Subpopulations in CHIME/FRB Catalog 2 Seeing Double: The Theory Defying Twin Flares of TDE 2022dbl IceCube data for astrophysical neutrinos exhibit q-statistical behavior A first view of interstellar Fe-bearing dust grains with XRISM A Comprehensive Interpretation of the LZ High-Energy Recoil Event: A Minimal $U(1)_B$ Dark Sector and Its Experimental Tests ELISA: A Bayesian X/$\gamma$-ray Spectral Analysis Toolkit Quasinormal modes of rotating black holes with ultralight scalar fields Deep learning methods for gamma event selection in TAIGA-IACT image analysis in stereo-mode Evidence for Hierarchical Turbulent Scaling in Nearby Star-Forming Galaxies Self-Interacting Dark Matter: From Particle Physics Theories to Structure Formation Simulations A Quest for Changing-State AGNs Cosmic Colliders in Binary Blazars Probing Ultra-High-Energy Particle Physics Vanishing Love Numbers of Kerr-Newman Black Holes MeV dark matter decay forecasts for the COSI mission Universal relations for hybrid stars and their quark cores: a systematic scan of the quark-matter parameter space An upper limit on Galactic OB+black hole binaries from SDSS-V Internal Nucleon Properties and the Equation of State of Ultra-Dense Matter Finite-Temperature Equations of State for Neutron-Star Mergers within the Quark Mean-Field Model Tidal Excitation of Relativistic Stars Black hole spin-mass correlation and accretion disks at birth stage of dense star clusters Hard X-ray luminosity functions of cataclysmic variables: Joint Swift/BAT and Gaia data Mergers Fall Short: Non-merger Channels Required for Galactic Heavy Element Production The Non Parametric Reconstruction of Binary Black Hole Mass Evolution from GWTC-4.0 Gravitational Wave Catalog A Very Rich Bimodal Galaxy Cluster Merger: RXC J0032.1+1808 In-ice Radio Signatures of Cosmic Ray Particle Cascades Radio Morphing: Fast computation of inclined air shower radio emission A Unified Charge-Dependent Modulation Model for AMS-02 Proton and Antiproton Fluxes during Solar Minimum Evidence of Nuclear Urca Process in the Ocean of Neutron-Star Superburst MAXI J1752$-$457 Potential periodic signals in blazars: significance, forecasting, and deep learning The origin of isolated millisecond pulsars in non-core-collapsed globular clusters MAXI J1820+070: A rapidly spinning black hole with a small disk truncation in the soft state and warm corona layers Circumbinary Discs as the Origin of Circumstellar Material around Interacting H-poor Supernovae and Fast Blue Optical Transients Multi-Period Fermi-LAT and LHAASO Constraints on Axion-Like Particles from Mrk 421 via $\chi^2$ Profile Likelihood with Gaussian Copula Correlation Can a slow and strong phase transition in neutron stars relieve major compact-star observation tensions? The link between extreme particle acceleration and X-ray binary jets On the triple nature of the PSR J0435+3233 system Morphology-aware periodicity searches in Fermi-LAT blazars Thermal evolution of neo-neutron stars. II. Temperature-dependent crusts The plunging region of thin accretion discs across the black hole spin range Reconnection-Driven Plasma Loading for Prompt Emission in Tidal Disruption Event Jets The First Multi-Messenger Nova: External Shocks, TeV Photons, and Neutrinos in the Next Eruption of T CrB First Detection of Radio Polarization During Jet Formation in the Changing-Look AGN 1ES 1927+654 Physics-Informed Neural Networks and Data-Driven Models for GRB X-ray Light-Curve Gap Reconstruction Origin of the high-energy spectral cutoff in gamma-ray pulsar halos Widespread steep X-ray spectra of luminous $z\simeq5.85-7.6$ quasars and their implications for future X-ray surveys Radio Continuum Study of One of the Brightest Large Magellanic Cloud Supernova Remnants N 132D X-ray spectroscopy method of white dwarf mass determination in intermediate polars. External systematic uncertainties Black hole binaries in shift-symmetric Einstein-scalar-Gauss-Bonnet gravity Resonant photon-axion conversion driven by axion dark matter oscillations Many-body effects on dense matter with hyperons at finite temperature Looking for non-gaussianity in Pulsar Timing Arrays through the four point correlator Novel Ringdown Tests of General Relativity with Black Hole Graybody Factors Memoirs of the curvaton: non-perturbative non-Gaussianity and supermassive primordial black holes Decoupling Limit of Quiver Theories and the Angular Spectra of Extreme C-metricsArxiv cs.LG
MDN-VJEPA: Multimodal Probabilistic Joint-Embedding World Models LACRM: LLM-Guided Mining of Directed Advertiser Competition Relationships in E-Commerce Advertising MRFlow: Mechanism-Structured Residual Flow Matching for Virtual Cell Perturbation Prediction PRIME: Frequency-Aware Unified Pruning and Merging for MoE Compression DoSA: Dots Sparse Attention Predict Before You Modify: Learning Improvement Dynamics for Self-Evolving Agents Posterior Flow Matching GameSmith: Scaling Zero-Sum Self-Play with Synthesised Games Splicing Hints into Reasoning Traces: Learning from Demonstrator Failures Enhanced Trading Systems with Intelligent Market Analysis SemTree: Judge-Aware Semantic Decision Trees for Inspectable and Repairable Rule Decisions VH-GPO: Verified Handoff for LLM Agent Reinforcement Learning PreSO: Privileged Representation Isolation for On-Policy Self-Distillation Showing versus Doing: Teaching by Demonstration Coding LLMs Can Be Harnessed to Learn Interpretable Models from Data What Can Language Models Inherit from Solomonoff Induction? Limits, Attainable Properties, and What Served Conditionals Reveal Generalized PINN-Based Inverse Estimation of Spatially Varying Heat Transfer Coefficients with Transfer Learning When Log Parsing Removes What Matters: Detecting Failures in Distributed GPU Workloads SIRNET: Causal Adaptation of Pretrained Embeddings for Semiparametric Treatment-Effect Estimation Under Surrogacy Perfect Reconstruction Cannot Show Whether Two Codebooks on a VAE's Latent Space Agree Physics-Informed State Space Models for Day-Ahead Photovoltaic Power Forecasting DShuttleNet: A Badminton Doubles Dataset for Evaluating Team Coordination Barycentric Anchored Weight Search for Robust Model Merging CoEvoke: Evoking Multi-Agent Collaboration for Trajectory Collection OPMD: On-Policy Mechanism Distillation Beyond Output Supervision Historical Anchors for Scientific Forecasting on Human-Aware Knowledge Graphs Beyond a Better Score: Long-Horizon Agentic ML Development and Evaluation Protocol for Physics Time Series Contrastive Covariance Subspaces for Activation Steering Pick the Mixture, Not the Samples: Combinatorial Data Selection for LLMs Can We Trust This Evaluation? Instance-Level Reliability of LLM-as-a-Judge Rotate the Loop: Blockwise Conformality for Looped Transformers PLDiv: Measuring Dataset Diversity and Semantic Collapse via Persistence Landscapes A Geometric Perspective on Reward Function Updates in Inverse Reinforcement Learning Auditing LLM Program Search for Bermudan Stopping with Primal--Dual Certificates One Model, Multiple Compute Budgets: Multi-Ratio ConceptMoE for Flexible Compute Across Turns A Physics-Informed Hybrid Forward-Inverse Machine Learning Framework for High-Dimensional Sparse Recipe Reconstruction From Prototype to Massing: Learning Graph Correspondence for Scalable Facade Modeling ULPack: Reference-Conditioned Lossless Compression of Checkpoint Trajectories Refined Grid Sampling for Efficient Implicit Neural Representations of Large-Scale Scientific Data Agreement versus Softmax under Spatial Disambiguation Embedding Graph Kernel Entropy (EGKE): Fine-grained Hallucination Detection for LLMs from Embeddings Learnable Low-Rank Polynomial Sketch for Effective Linear Attention Learning Non-Gaussian SEMs with Conditional Risk, and Why the Direction of Recursion Matters Adaptive-Depth Is a Finishing Stage Do Artificial Neural Networks Need Dendritic Nanotubes? Two Reasons for Shrinking Importance Estimates in Continual Learning Variance Fingerprints: Component-Wise Identification of Content Factors by Augmentation Design The RNN Homunculus: Learning to Gate Long-Term Memory Layer-wise Input Recoverability in Deep Neural Networks Learning to See through Action: Predictive Curiosity for Robots Decentralized Bandit Learning of Markov Perfect Equilibria Continuous-Time Cloth Dynamics with Physics-Informed Neural ODEs On the Depth Transfer of Neural Optimizers via L-Smoothness Class-Conditional Conformal Prediction for Signal Temporal Logic Inference with Many Classes The Sample Complexity of Multicalibration with an ERM Oracle ConformalGuard: False-Positive-Controlled Action Gating for LM Classifiers History, Adaptation, and Hidden Gain: Two Prospective Tests of Learned Predictive Control in a Synthetic Neural Population When More Memory Fails: Hidden Feasibility Holes in Dynamic Tensor Rematerialization DPAL: A Test-Time Adaptation Loss for Financial Time Series Forecasting Clinical value claims in multimodal AI outpace supporting evidence Sparse-TD-JEPA: Improving Zero-Shot Reinforcement Learning With Sparse Latent Task Representations PotentialEP: Backprop-Free Training of CIFAR-Scale Generative Models via Equilibrium Propagation Coarse-Graining Recursive Expert Computation: Continuation-Relative Interfaces and Failure Modes Design Choices for Multimodal Transformer Learning with Missing and Longitudinal Healthcare Data From Transfer Probes to Expert Grouping: Evidence from LoRA Post-Training Target-ESS Tempered Policy Optimization (TETPO): Smooth Variance Control via Bridge Importance Sampling KV4-RL: Unlocking Faster Asynchronous Rollouts for RLVR with INT4 KV Cache Quantization Learning to Extrapolate in Depth with Looped Transformers RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation A Gated Catchment Hydrology Model (GCHM) for Physically-Interpretable Rainfall-Evapotranspiration-Runoff Simulation Across Diverse Hydroclimatic Regimes DEFT: Disentanglement-Enhanced Fine-Tuning for EEG Foundation Models Rethinking Activation Functions: Reducing Bias Can Improve Learning Query-Adaptive Neuron Steering for LLMs Active Neural Matter: A Finite-Window Response Framework for Physical Systems and Distributed AI Workflows PGSB: Pretrained-Guided Shared Basis for LoRA Model Merging Reward-Aligned Distillation LLM-Augmented Bayesian Optimization with Adaptive Policies for Chiplet Design Space Exploration From Rainfall to Road-Network Functionality: Transferable Graph Forecasting for Flood-Disrupted Transportation Networks TagBO: LLM-Driven Task-Aware Graph Bayesian Optimization for Scientific Discovery Ascent Conditions for Length-Normalized Single-Rollout Policy Updates Triage-PiEvo: Evidence Admission for Principle-Evolving Scientific Agents One-Way Coupling via Patchwise Adaptive Normalization in Transformer Surrogates Accelerating Cross-Model LLM Inference via Attention Map Reuse Understanding Hidden Spatial Preferences in Bayesian Optimization Linear-Time Non-Local Codec Placement for Machine Learning Model Compression DeKoR: Decomposed Knowledge Routing for Efficient GNN--LLM Fusion Multi-Token Random-Walk Learning via Meeting-Triggered Information Exchange Integrating AIRL-Based Reward Estimation into a Control Method Using Fuzzy Inference and Policy Gradient VitaBench: Memory Lifecycles Beyond Retrieval PTGPO: Prefix Tree Group Policy Optimization More Domains, No Gains? FLO: Fast-Slow Reciprocal Learning for Multi-Domain Graph Pre-training Random Fourier Features in Near-Linear Time CrossMean: Model Merging by Pairing Merged and Expert Activations Prior-Fitted and Frozen Scorers for Multimodal Contrastive Learning Formalizing Forgetting: Theory of Forgetting for Online Continual Learning Groups Don't Move as One: A Bregman Clustering View of Linearized Group Influence Machine Learning-Based Prediction of Dengue Infection Using Clinical and Hematological Data from Bangladesh: A Comparative Analysis of Benchmark and Extended Prediction Models Sequence-Structured Decision Learning for Branch-and-Bound in Mixed-Integer Linear Programming Disentangling Marginal Capacity from Geometry in Optimal-Transport Label Transfer Terrarium: Growing Personal Assistants via Scalable Synthesis of App Worlds World2TS: Real-World Event Context for Time-Series Forecasting Blending experimental electron density information to protein-ligand interaction Contrastive Linearized Laplace: Loss Geometry, Valid Repairs, and Reliable Cores Pro-t-VAE: Closed-Form Student's t Mixtures for Robust Prototype Discovery Prediction with Expert Advice under Heavy-Tailed Losses Representation Drift in Continual Learning: LoRA versus N-gram Memory TLA-Verus: Generating and Solving Temporal Proof Obligations with LLM Agents BSIPipe: Bidirectional Sequence-Level Interleaved Pipeline Parallelism for Long-Sequence Large Language Model Training Compositional Average Velocity Modeling for Efficient Diffusion Offline Reinforcement Learning Probabilistic Multi-Source Data Selection via Learnable Categorical Priors: Variance Reduction and Guaranteed Derandomization Exact Phase-Type Point Processes for Certified Measurement and Prediction of Event Streams Counterfactual Rollouts for Offline Contrastive Goal-Conditioned Reinforcement Learning HiPAD: A Unified Gait, Audio-Visual, and Personality Fusion Network for Depression Detection, with a Hierarchical Personality Ablation and the Calibration Limits of Domain-Adapted LLMs Cross-Material Magnetic Core Loss Prediction via Operating-Condition Matching and Partial Optimal Transport HodgePhaseNet: Discrete Hodge Decomposition of Semantic Flows in Transformer Attention Fitting Every Hint Is Not Enough: Premature Floods in Recurrent Algorithmic Reasoners Mixing Regularization for Average-Reward $Q$-Learning and $Q$-Planning Characterizing the Separability Gap in Prior-Data Fitted Networks Recurrent In-Context Learning for Tabular Foundation Models Conformal Sequential Decision Making With Cost and Sublinear Policy Regret Guarantees Algorithmic Fairness Over Time: Advances & Prospects PATTERN Can Be Solved from Memory: Generator-Aware Baselines for Synthetic Node Classification InCLAD: A Continual Learning Benchmark for Industrial Visual Anomaly Detection Sparsity Saves Compute, Not Samples: Oracle Inequalities for Dense and Sparse Mixture of Experts Information-Theoretic Foundations of Online Temperature Sampling The Optimal Decoder is Tilted Temperature Toward a Multimodal Foundation Model for Plasma State Reconstruction On the Theoretical Limits of Learning Unconstrained Interatomic Potentials Swarm Telepathy: Prefill-Free KV-Cache Transfer Across Families Anchors Enhance Controllability and Reasoning of Diffusion Language Models Random Feature Pruning for Multi-Class Classification RELAGRAM: Recursive Latent Graph Model for the Capacitated Vehicle Routing Problem scHFBiMamba: a bidirectional Mamba autoencoder for cardiac disease-state classification from single-nucleus RNA-seq data ShellElastic: Scalable Elastic Pretraining with Simultaneous Maximal Updates and Hyperparameter Transfer To Defer or Not to Defer? Online Learning with LLMs and Congested Experts When Dynamic Scaling Fails: A Scale-State Feedback Governs Recurrent-State Quantization in Linear-Attention and SSM LLMs Compute-Optimal Scaling Laws for Spiking Language Models Sensor-Aware Joint Data Fusion and State Estimation under Sparse Multi-rate Distribution Grid Sensing Beyond Adjacent Layers: Graph-Guided Layer Fusion for Compressing Large Language Models LexiCan: Lexicographic Canonicalization of Point Clouds for Machine Learning Applications Only What You've Signed up For: Secure Workflows with Constrained Diffusion Agents Game-Theoretic Reinforcement Learning based Topology-Agnostic Defense for Virtual Power Plants DeltaNet-PC: Test-Time Memory Without Backpropagation Through Time Exploring Jailbreak Vulnerability Across Depth-Based Dynamic Inference in Large Language Models Zeroth-Order Fine-Tuning of LLMs in Learnable Low-Rank Subspaces EvolvAttack: Backdooring self Evolving VLM Agents ObsSpec: Accelerating Agentic Reinforcement Learning with Observation Speculation Correlation-Aware Reconstruction for Multivariate Time Series Anomaly Detection LeHami: Symplectic Latent Dynamics for World Models Imperfect Verifiers, Exact Targets: Inference-Time Scaling for Continuous Generation FragFlex: Fragment-Based Flexible Molecular Generation for Exploring Vast Chemical Space WisdomNet: trustable machine learning toward error-free classification FENAS: A Few-Shot Meta-Ensembling Framework for Efficient Neural Architecture Search with Synergized Zero-Cost Proxies Accuracy and Uncertainty in Machine Deception Detection (Research White Paper) CIViC: Evidence Gates for Audio-Conditioned Visual Prediction on Proxy Tasks Anchor-and-Harvest Curriculum: A Fully Unmasked Non-LLM Curriculum for Craftax Full Waveform Inversion with a Learned Preconditioner ZOIF: Zeroth-Order Influence Function Estimation for LLM Data Selection Using Only Forward Passes CodeWalk: Generating Coding Benchmarks by Walking a Problem Graph Siam-ALS: An Explainable Siamese Deep Learning Framework for Early ALS Detection Using EEG and Eye-Tracking Signals Adversarial Detection for Pre-trained Classifiers via Lipschitz-Margin Analysis with Certification ANTE: Anticipate, Then Execute -- Learning Internal World Models for Coding Agents from Verified Beliefs E8 Lattice Key Quantization for Low-Bit KV-Cache Compression Approximation in Contrastive Representation Learning DC-Flow: Target-Conditioned Cyclic Peptide Design via Delayed-Coupling Flow Matching WUSPruner: Second-Moment-Optimal Transforms for Structured Pruning GA-SVD: Generation-aware Singular Value Decomposition for LLM Compression Harnessing VLM in Embodied RL: From Reward Regressor to Success Detector via Exploration-Augmented Key-Observation Gating Riemannian Graph Tokenizer for Structural Knowledge Transfer Pessimistic Latent Task-aware Optimization for Robust Offline Meta-Reinforcement Learning World Modeling through Spectral Alignment Split Conformal Interval Length under Huber Contamination Revisited Support Vector Machines: A Unified Joint Optimization Framework with Nystr\"om Approximation for Scalable Adaptive Learning CacheLink: Functional KV Transport for Zero-Prefill Cross-Model Context Handoff SARATHI: Decoupled Data-Free Probing and Adaptive Reconstruction for Structured LLM Pruning OceanFlow: Coherent Flow Matching for Probabilistic Ocean Modeling Sensitivity Fidelity Reveals Physical Dependencies Beyond Forecast Accuracy in Deep-Learning Earth-System Models UNISON: A Unified Framework for Learning from Scored Bags Truncation Samplers Are Nested: Comparing Decoding Rules Is a Measurement Problem The Gradient That Top-k Distillation Never Computes An Attention-Guided Graph Neural Network Surrogate for Boundary Integral Computation in Physical Field Reconstruction ProML: Progressive Multi-label Learning Adaptive Role Assignment and Controlled Feature Reconstruction for Federated Image Semantic Communication The Price of Precision: A Calibrated Cost Model for Mixed-Precision LLM Serving MERIT: Scaling KG Foundation Models with Relation Transformers Context-Aware Precision Scheduling for Small Language Models Testing Central Structure for Complex Networks Drift, Then Spread: Learning One-Step Generative Policies for Online Reinforcement Learning DRanker: A Transformer-Based Multi-Task Ranking Model for the Disney+ Homepage TabMosaic: Unified In-Context Diffusion for Tabular Generative Tasks RespFocus: Learning Temporal Evidence for Weakly Supervised Respiratory Sound Classification Generalizable Model Editing Could Be More Than Direct Generalization Preserving Updates in Low-Bit Recurrent State Quantization What DNA Foundation Models Learn Beyond Sequence Composition To Cache or Not to Cache: Understanding and Mitigating Safety Incompatibility in Cross-Model KV Cache Reuse Uncovering the Generative Landscape of Diffusion Models: A Spectral-Guided Quality-Diversity Diffusion Framework A Dependency-Aware Multi-GPU Training Framework for Temporal Graph Neural Networks Hyperbolic Time Series Forecasting with Learnable Decomposition and Manifold Dynamics Who Sets the Pace of Judge Hacking? Judge Capability versus the Policy-Judge Gap Heterogeneous Structured Pruning Under Resource Constraints for Hardware-Efficient Large Language Models ML-CLAPPS: A Probabilistic Framework for Imbalanced Multilabel Learning under Class Prioritization Benchmarking Deep Learning Models for Anomaly Detection in Real-World Cloud Telemetry Guarded Block Transfers for Polytope Distance: Linear Convergence with Explicit Constants and Gap-Certified Screening for SVM Training How Shared Representations Become Specialized: Formation, Maintenance, and Latent Susceptibility LLM Value Functions for Credit Assignment in Agentic RL What Do Sparse Autoencoder Feature Discovery Scores Identify? From Activations to Interventions GuidanceNFT: NFT-Based Reward Fine-Tuning of Guided Diffusion Models A Hybrid Gaussian Process-Extreme Gradient Boosting Machine Learning Framework for Robust Knockdown Factor Prediction and Reliability-Based Design of Thin Spherical Shell Caps Variance-Optimal State Resampling for Reinforcement Learning with Verifiable Rewards Make Every Expansion Count: Learning to Search Efficiently in LLM Code Repair Sample-Optimal Multi-Group Learning with an ERM Oracle Fast and Accurate: Improving Personalized LLM Performance by Semantic Concentration Inspired Workload Split between RAG and Fine-Tuning Mesh-Free Convolution: Learned Spectral Attenuation and Transport DiffNash: Finding Nash Equilibrium in High-Dimensional Continuous Action Spaces with Diffusion Policies Error-Based Bidirectional Predictive Coding Enables Deep, 4-Bit Predictive Coding Networks Instance-Adaptive Online Multiclass Multicalibration Scaling Repeated-Data Pretraining: Batch Size, Regularization, and GPU-Time Tradeoffs Softmax-Free Attention in Spiking Transformers as the Zero-Temperature Limit of Two-Level Systems Probabilistic Forecasting of Wildfire Size Using Conditional Flow Matching Dissipative Lagrangian Neural Networks for the Interpretable Modelling of Passive Mechanical Systems Representational Difference Distillation A 4-Qubit Variational Quantum Classifier for Sequence-Specific Classification of DNMT3A and DNMT3B Flanking Methylation Preferences Certified Robustness via Sparse Second-Order Cone Relaxations When Does Compensating Inherited Quantization Error Help? Mean-Square Guarantees for Layer-Wise Quantization and Their Limits Autoregressive Decoding as a Martingale: Characterizing the Stochastic Dynamics of LLM Generation Backward Conformal Prediction under Covariate Shift Interpretable Graph Partitioning for Spatial Prediction Dream2Discern: Learning from Hard Latent Variants for Runtime Failure Prediction in Multi-Agent Systems Memorization in image classification: test set behavior and scaling laws SelectTTRL: Representation-Guided Data Selection for Efficient Test-Time Reinforcement Learning Beyond Policy Rollouts: Embedding-Space Directional Exploration with Anchored Noise for LLM RLVR Silence and Noise: Resolving Suppression and Overvaluation in Multimodal Entity Alignment PID-Gated Continual Prompt Adaptation Under Noisy Feedback XForecast: The KDD 2026 Finance Day Challenge on News-Grounded Financial Forecasting BARTER: Compact Dynamic Sparse Training with Standard Dense Kernels WildTrace: Evaluating Training Data Detection in Realistic Large-Scale LLM Post-Training Fisher information and the geometry of memorization in neural networks When Participant Disjoint Validation Is Not Enough to Establish Generalization in Parkinson's Gait Classification AutoNovo: Agentic Program Search Discovers Transferable Nucleic Acid Design Algorithms From Simulated Fluids to Living Tissue: Zero-Shot Foundation Model Transfer to Perturbed Embryos Reflected Proximal Dynamics for Accelerated High-Accuracy Log-Concave Sampling Spectral Considerations on Unsupervised Time-domain EEG Representation Learning with Deep Networks Error Correction in Trained TTT Layers A Survey of Flow Matching in Reinforcement Learning Fast Quantized Johnson$-$Lindenstrauss Transforms SLDBench v2: Active Scaling Law Discovery BehaviorFormer: Discovering Behavioral Patterns via Clusterable Next-Token Prediction Probabilistic Simulation of Gas-Liquid Interfaces with Coupled Flow Matching on Spherical Harmonics Rescuing Points Trapped Inside Incorrect Decision Regions: A target for Evaluating and Improving Forward-Forward Learning DWI Connectome-based Sex Classification in Young using Supervised Variational Autoencoder A Production-Grade, High-Efficiency Agentic RL Framework for Frontier LLMs with Validated Recipes LoopQuant: Accurate and Efficient Post-Training Quantization for Looped Transformers Sampling from Neural Operator Priors to Solve Partial Differential Equations Learning $\omega$-Powered Conditional Distributions with Importance-Weighted Flow Matching Resample the Answer: Where to Spend Test-Time Compute in Recursive Reasoning ECHO: Correcting Time Series Foundation Model Forecasts with Historical Analogues and Errors ARMED: Adaptive Retrieval-Augmented Medication Recommendation StructZO: Structured Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning SLEM: Spectrum-Aware Latent Expert Merging Growing and Transferring Pathways for LLM Reinforcement Learning Drafting Agents, Not Just Tokens: Speculative Recursive Self-Improvement for Agentic Systems pi-Net: Empirical Latent Representations for Differentiable Physics Heads in Data-Scarce Systems Asymptotic Risk of Learning-Rate Schedules for Least-Squares Regression with Discretely Distributed Features Reinforcement Learning with Hawkes-Structured Networks for Market Making Learning Graded Sparse Mechanisms: A Representation Theorem and Certified Generalization DeepFlow: Two Convergent Differentiable Approaches for Pairwise Conditional Random Fields Optimal Transport PAC-Bayes Bounds The Language of Looking: Motion Tokens Reveal Domain-Dependent Local Structure in Gaze Sequences Characterizing and Mitigating Distributional Bias in Physics-Informed Generative Models OctMole: Multiscale 3D Molecular Generation with Hierarchical Spatial Flows HyBRA-EEG: Hyperbolic Global-Local Brain-Region Aggregation for Self-Supervised EEG Representation Learning Towards Modality-Agnostic Seizure Classification: A Unified Deep Learning Framework for Heterogeneous EEG and Intracranial EEG Signals DEFlow: Deep Equilibrium Flow Maximum-Entropy Reinforcement Learning DR-APO: Decoupled-Representation Advantage-Guided Policy Optimization from Continuous Control to Embodied Navigation AeroChem: Closed-loop Physics-Informed State Space Modeling for Long-term Chemically-Reactive Air Quality Forecasting--Extended Version ACED: Reference-Anchored Aggregation of Natural-Language and Executable Evidence for Mathematical Reasoning Learning Deployable Causal Action Geometry under Temporal Non-Stationarity Learning Incompressible 3D Flows from Sparse Samples: A Set Transformer Approach to Divergence-Free Kernel Fitting IND-Eval: Aligning Evaluation and Simulation for Industrial Time Series Foundation Models Counting with Attention and LayerNorm: Norm Scaling and Representation Geometry Guidance Without Labels: Flow Matching from Coupled Gaussian Mixtures Compression Through Time: An Interplay of Separability, Stationarity and Capacity Making LoRA Identifiable: Orthogonal Alignment for Continual Learning Feature-Context Consistency: Unsupervised Adversarial Detection with Drift Stability on Attributed Graphs Attention-Graph Curvature for the Verification of Mathematical Reasoning Learn from Move: the Next Step for GUI Agents Before Attention Sinks Form: Hidden-State Geometry Reveals and Modulates Their Formation NFMap: Topographic 2D Manifold Learning with Invertible Normalizing Flows Is the Platform Part of the Measurement? A Protocol and Simulation Study for Cross-Platform Equivalence of Machine-Labelled Policy Sentiment Relational Learning as World Modeling Efficient Preconditioned Optimization Methods with Frequent Directions TPPO: Tracking-Value PPO For Language Model Reasoning One-Layer Transformers Provably Learn In-Context K-Nearest Neighbor Prediction with Chain-of-Thought DASS: A Solver-Adaptable Dynamic Auxiliary Search Strategy for Symbolic Regression DTA-GT: Direction- and Topology-Aware Graph Transformer for Neural Network Representation Learning Mean Accuracy Is the Wrong Estimand for a Release Decision The Bell Boundary of Shared Representations Few-for-Many Best-Arm Identification in Multi-Objective Bandits Radial Tail Repair: Post-Training Correction for Diffusion and Flow Models GpFlash: Maximizing Speed and Minimizing Memory for Gaussian Process Training and Prediction Efficient Resource-Shiftable RL Post-training with Generative Rewards Davinci-Tool: Scaling Agentic Tool-Use Supervision with Verifiable Executable Environments From Parallel to Sequential: Small-Batch Noise Restores Simplicity Bias of Muon Sequence Composition in EHR Foundation Model Pretraining Learning Operators for Symmetry Discovery: From Lie Groups to Local Symmetry Geometry AI-Assisted Tumor-Growth Law Discovery from Sparse Data: Refitting and LLM-Based Ranking Comparing GenAI to Machine Learning and Manual Review for eDiscovery Making Tensor Decoupling More Robust and Less Parametric KNN Implementation Details Can Dramatically Change Performance: An Example from Cover Trees Social Priors: Descriptions of AI Users Shape How Language Models Trust and Cooperate Learning to Design Convex Relaxations for Nonconvex Optimization Learning to Design SR Solvers: Harness Optimization for Symbolic Regression From Suboptimal to Optimal: One-Step Latent Flow Policies for Offline Reinforcement Learning TabGift: A Context-Efficient Foundation Model for Tabular Data Generation Generative Models as Adaptive Trust Regions for Discrete Bayesian Optimisation Constant-Depth Rational-Weight GNNs and their Connection to Schanuel's Conjecture Intrinsic Geometry Matching: learning observation-equivariant process geometry A physics-coupled graph neural operator for mid-plane six-component stress tensor field prediction in concrete penetration Mixture of GFlowNets MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation ProbabilityBench: Model Evaluation and Calibration with Exact Ground-Truth Uncertainty LLM Evaluation is a Forecasting Problem SPLICE: Sparse Physics Library Identification and Compositional Expansion Gradient Routing Localizes and Removes Unintended Behaviors in RL TILE: Bridging LLMs and Table Foundation Models for Tabular Learning with Strings Nearest Neighbor Functional Curve Completion for Intraday Probabilistic Revisions of Renewable Generation Forecasts Towards Universal Calibration for In-Context Classification Masked Diffusion for Travel Diaries Synthesis Can R\'enyi Accountants Beat Lossless Accountants for DP-SGD? Masked Attention Pooling Is Invariant to Padding and Permutation: A Formal Proof in Lean OpenDGO: Benchmarking Multi-Agent Organizations Across Diverse Application Domains FunDM: Cheap & Label-Free Decision Models from Frozen Language Models ModRes: A modification of the ResPlan dataset ready for floor plan analysis and graph machine learning CartoVec: General-Purpose Location Embeddings from Open Map Data FreeSolo: Linear-time Sparse Attention with Zero-Shot Length Extrapolation MLAfication: Efficiently Enabling High-Fidelity MLA for Modern LLMs Online LLM Personalization from Pairwise Preferences Across Users Density-Matrix Reinforcement Learning Compute-optimal data scaling for neural surrogates via multi-fidelity training CodeLift: Your Test Suite Is Secretly a Dense SWE Curriculum MIRRA: Fast, High-Fidelity Molecular Generation with Chemistry-Informed Discrete Flow Matching LLM-to-Flow Distillation: Teaching Natural Language Goals to Scientific Generators Protocol Choices Matter More Than the Aggregation Algorithm: Federated Learning for In-Hospital Mortality Prediction in Care-Unit and Multi-Hospital Federations Measuring Learned Equivariance: An Information Theoretic Approach The Surprising Expressivity of a Single Neuron with Autoregressive Chain-of-Thought Which Geometry on Which Layer? Measured Sign-Spectral Assignment in Mixed-Optimizer Training A Geometrical Approach to Constructing Neural Networks for Perfect Training-set Classification Joint Embedding with Dynamic Integration network (JEDI-net) Near-Optimal Regret Bounds for Monotone Stochastic Optimization under Semi-Bandit Feedback COMPASS: Membership Inference Attack Against Vision Large Language Models via Adaptive Noise Calibration On the Statistical Mechanics of Attention HarnessTTT: Learn to Optimize Harness at Test-Time for Scientific Discovery Robustly Reliable Learning for Regression Mitigating Black-Box Score-Based Query Attacks via Gradient Confusion Variable Input Masked Autoencoders for Wrist-Worn Accelerometry Measure Neural Mappings Cross-Market Meta-Learning for Electricity Price Forecasting JustOPD: On-Policy Distillation from Autoregressive to Diffusion Language Models Learning to Detect Shifts in Unstructured Data Streams via Monitoring-by-Betting Cross-View Time-Frequency Diffusion for Extreme-Aware Time-Series Generation Position: Beyond Training Time, Test-Time Coordination is Essential for Cooperative MARL On Making $\mathrm{SE}(2)$-Invariant Networks Optimal When Sparsity Breaks Connectivity: Functional Reachability and Guided Topology Dynamics in Extreme Sparse Training Reinforcement Learning In Partially Verifiable Environments for Colon Cancer Treatment Planning Monarch-Muon: Structure-Aware Muon for Fast and Memory-Efficient Pretraining The belief-action gap in language model agents On Sleep-Wake Disorder Identification from Polysomnographic Representations Effect of Spherical Parameter Space on Number of Non-Forgetting Tasks and Capacity of Continual Learning Assessing the Performance of AI Models in Misinformation Detection Using Predefined Social Noise Constructs Structure-preserving fidelity diagnostics for partial differential equations A Time-Synchronous Prequential Evaluation Framework for Next-Week Student Disengagement Prediction from Moodle LMS Logs Longitudinal Learner Participation Profiling in Online Learning: Heterogeneous Consensus Clustering under Unequal Observation Windows A Sense of Proprioception in Language Models Foundation Models for Event Prediction Across Heterogeneous Event Logs Merit: Making every modality earn its contribution in multimodal attention decoding C{\AE}NL: Collapse-Based Active Neural Learning with Objective-Aligned Representation Control Towards Green AI: Evaluating Energy Efficiency for Quantized LLM Inference Chasing Label Shifters: A Change-Aware Framework for Dynamic Graph Node Classification Taming Softmax at the Limits of Muon: A Unified Approach through Hilbert Geometry Revisiting the 16x Pretraining Compute Gap between Diffusion and Autoregressive Language Models FedLoRD: Personalized Federated Learning based on Low-Rank Structures of Model Parameter Differences RELAY: Selective Self-Distillation with Adaptive Hand-off for Rubric-Based Reinforcement Learning Calibrated Disambiguation for Partial Multi-label Learning The Tokens Strike Back: Safety-Aware Denoising with Directional Embedding-based Revision Mixed Precision Scaling Laws for Quantized Pretraining DisaggKD: Efficient Knowledge Distillation through Teacher-Student Disaggregation and a Fused Loss DeltaTTG: Training Multi-Turn Agents with a Token-to-Go Progress Meter Dynamic K-Head: Difficulty-Supervised Budget Selection for Continuous Latent Reasoning zPocket: Better Pocket Finding with Frozen Co-Folding Features LeanPRM: Lean-Grounded Process Supervision for Natural Language Proof Verification Focus on What You Need: Global-to-Local Dynamic Attention for Multimodal Sarcasm Detection Where Small Mistakes Matter: Quantifying State Criticality for Imitation Learning Confine to the Task, Anchor the Rest: Concept-Guided Retention Regularizer for Parameter-Efficient Fine-Tuning MissPath-FM: Flow Matching with Structured Priors for Partially Observed Time Series TSRL: Trigger-based Supervised Reinforcement Learning for Continual Agent Training CoCA: Criterion-Aware Credit Assignment for Rubric-Based Reinforcement Learning Explore with Memory, Learn without It: In-Context Exploration and Self-Distillation for LLM Reasoning Train for Many, Update with One: Improving Multi-Sample Reasoning via Fenchel-Bregman Posterior Learning HiSTOR: Structured Treatment-outcome Representation Learning for High-Dimensional Longitudinal Data Gaussian Process Bandits for AI System Optimization with Selectively Verified Feedback Hybrid Parallel Bessel KAN Model: a Kolmogorov Arnold Network: integrated framework for developing a novel architecture to reconstruct the fused-basis approach via a parameter free quadratic interaction Posterior-Averaged Bellman Flow Matching for Distributional Critics GIFT-Eval-CTX: A Benchmark For Contextual Forecasting Model Evaluation Follow the Perturbed Leader for Linear Bandits: $\sqrt{T}$ Regret over General Convex Sets Checking the Checkers: A Synthesis of Verifier Noise and Robustness in RLVR Agentic-MatriBO: Capability-Compiled Agentic Bayesian Optimization for Materials and Chemical Design GeoNIRS: Geometry-Aware Pretraining for Heterogeneous fNIRS Representation Learning Persistence Positional Encoding: A Minimal Transformer Recipe for Persistence Diagrams MMTA: Benchmarking Multimodal Temporal Analysis with Time Series, Text, and Vision TStruct: Learning Shared Temporal Structures for Long-Term Time-Series Forecasting RT-J: Large-Scale Pretraining of Relational Transformers for Context-Efficient Predictions Searching for What Matters: Open-Ended Discovery of Multiple Hypotheses with Agentic Data Exploration Deep Mesoscopic Dynamics Interaction-as-a-Judge Evaluating the Causal Faithfulness of SHAP as a Candidate Attribution Method for SAE Features FlashMask-3: Efficient and Expressive Mask-Aware Distributed Attention Stable-Plastic Subspace Construction for Differentially Private Continual LoRA NBCLT: Parameter-Agnostic Norm-Ball Clipped Local Training Stein Variational Distributional Reinforcement Learning: Score-Guided Particles for Multivariate Return Distributions Sea-Net: A Small and Inherently Interpretable Neural Network for Time Series Classification HaloBlock: Faster and Better Decoding for Diffusion Large Language Models Better Capturing Interactions Between Products in~Retail: Revisited Negative Sampling for~Basket Choice Modeling BELT : BEhavior-Aligned Low-Rank KV Cache Compression with Learned Top-k Rank Allocation Neural Dimensional Analysis: Foundations of Dimensionless and Scale-Consistent Computation Exact power indices for plurality-voting ensembles Counterfactual Certification for Sequential Unlearning with Long-Run Performance Guarantees Improving Neural Symbolic Regression with a Diverse Prior and Post-training Alignment Saliency-Guided Replay for Continual Learning in Deep Spiking Neural Networks Match the Canvas, Not Just the Answer: Predictability-Aware SFT for Diffusion Language Models Correcting or Continuing? What On-Policy Distillation Learns from Student Errors FRACTION: Fraud Explanation Generation via Agentic Graph Context Navigation ChampionKV: Head-Wise Adaptive Budget Allocation for KV Cache Compression inLoRA-MINT: Internal Representations for Auditing Training Data in Domain-adapted LLMs From Policy Evaluation to Off-Policy Control: Provable Emergence of In-Context Q-Learning Uncertainty Evaluation: Bridging Machine Learning and Measurement Science Causal Discovery Under Hard Selection Bias: A New Robust Score-Matching Approach Failure Recovery via Belief Updates and World Modeling for Long-Horizon Agents Same Function, Different Trajectory: No Standard Optimizer Is Equivariant to Transformer Reparameterization From Spectral Saliency to Finite Deletion: Evaluating Selective Language Model Edits The Effect of Layer Ordering in Hybrid Architectures A CaLLM Judge is a Better Judge: Mitigating Bias in LLM-as-a-judge SYNPRED: A Synergistic Approach to Multimodal Learning for Clinical Prediction When Missingness Follows the Graph: Beyond Feature Propagation for Missing Features Revisiting Error Feedback for Model Quantization Learning a Group Element from Its Action: Galois Correspondences, Optimal ERM, and an Abel-Ruffini Threshold for the Natarajan Dimension When Do Learned Blocks Preserve Causal Meaning? Block Identifiability and Constructive Causal Abstractions LoOPSD: On-Policy Self-Distillation with Looped Teachers Random Probing for Structural Self-Interactions in Graph Neural Networks Looped Reasoning Finishes Earlier Than You Think Reinforcement Learning for Large-Scale Lifelong Multi-Agent Path Finding with Shared Spatial Fields A Few More Tokens Ahead: Reinforcing Parallelism in Diffusion LLMs Operator Surrogates A Controlled Evaluation of Curvature Inspired Scalar Feature Scaling for Domain Generalization Teach Me After You Learn It: Lookahead Self-Distillation for RLVR Optimal Online Regret for Context-Lumpable Bandits PING: physics informed graph neural network for advection-diffusion processes with applications to solar power forecasting Reliable Risk Estimation with Kernel Mean Matching under Dependent Sampling Which Optimizer Leaks Most? Optimizer Implicit Bias as a Training-Data Privacy Controller Bayesian Optimization of CVaR with Unknown Hyperparameters Over-parameterization Is Neither Robust nor Fragile in Matrix Sensing: A Geometric Theory of Solution Robustness Beyond Task Success: A Theory of Representation Reuse PRISM: Calibrating Black-Box Judges with Counterfactual Probes Multi-Stream Residual Computation in Diffusion Language Models Not All Drift Is a Mechanism: Tracing Prompt Adaptation in LLMs Learning Perturbation-Specific Representations through Conditional Energy Prior for Cellular Response Prediction Teacher-Guided Tool Learning for Small Language Models via Bidirectional KL Constraints Readout Scaling Shapes Sparse Feature Recovery Graph Metanetworks for Transformer Based Language Models ProTok: Unified Protein Tokenization via Modular Multi-Codebook Quantization SoK: Rethinking Membership Inference in Tabular Machine Learning Recalibrating Many Questions with Few Labels: Minimax Rates and Identification Limits Approximating Optimal Policies in Heterogeneous Asynchronous Multi-player Bandits Two For The Price Of One: Curvature-Aware Pruning Preserves Influence Functions Too Euclidean Distance-Based Flow Matching Unbalanced W-Flow: Unbalanced Wasserstein Drifting under Finite-Batch Marginal Fluctuations Last-Iterate Convergence of Clipped SGD with Linear Decay When More Objectives Make Identification Easier: The Role of Preferences and Feedback Fairness under Prediction Error in Predict-then-Optimize Pipelines Does self-distillation improve reasoning? Deterministic Prediction as Global Velocity: Flow Matching for Probabilistic Time-Series Forecast Geometric Calibration of Supervised Fine-Tuning MultiAlloc: Budget-Aware Precision Allocation for KV Cache Quantization Tiny Recursive Message Passing Does Pretraining Teach Chemical Language Models Chemistry? Kwai Summary Attention V2 Technical Report Bayesian Test-Time Inference of Task-Aligned Similarity from Weak Interactive Feedback BridgeTwist: Twisting Schr\"odinger Bridges for Training-Free Conditional Sampling Model-Based Online Decision Making via Generative Trajectory Planning ProAS: A Progress-Aware Advantage Shaping Framework for Multi-Turn Agentic Reinforcement Learning A Refresh Interval Does Not Fully Specify a Refresh Schedule: Learning-Rate-Dependent Placement in Kronecker-Preconditioned Language Model Training Learning Source Structure: Bayesian Prediction with Transformers On the Monitorability of Natural Language Autoencoders: Identification vs Discrimination Learning When to Transfer: Reinforcement Learning for Carbon-Footprint Modeling in New Manufacturing Domains SP$^2$ec: Adaptive Self-Speculative Decoding for Vision-Language Models Enabling Token-wise Importance Sampling in Off-Policy RLVR with Proximal KL Regularization A Rate Transfer Method: Convergence Rates in Stochastic Gradient Descent via Stochastic Calculus SkillScaffold: Scaffolding Agentic Reinforcement Learning with Policy-Adaptive Skill Credit Assignment and Selective Injection Depth Memory Statistical Vignettes on the Grokking Phenomenon Scaling Online Optimal Transport Minibatches for Flow Matching Fast Rates for Offline Q-Learning with KL Regularization Two Clocks: Why Larger Rollout Batches Learn Slower but Fail on Schedule in Reinforcement Learning with Verifiable Rewards Exact Topological Compliance: Generating Persistence-Equivalent Graphs AERR-Nav: Adaptive Exploration-Recovery-Reminiscing Strategy for Zero-Shot Object Navigation Mira-Embeddings-V1: Domain-Adapted Semantic Reranking for Recruitment via LLM-Synthesized Data Dependency, Compression, and Synergy: A Unified Information-Theoretic View of Multimodal Learning Deterministic denoising of long-duration gravitational-wave signal candidates with $\alpha$-(de)blending SlideDP: Scaling Host-Resident LLM Fine-Tuning Across Multiple GPUs BandPC: Learning Residual-Band Preconditioner Combinations for Flexible Conjugate Gradient Solvers Quasi-Binarized Autoencoders: An Architecture-Independent Information Bottleneck for Medical Image Anomaly Detection PsyBer-Agent: A Psychology-Driven User Agent for Recommender Systems How Vision Transformers Represent Position: A Mechanistic Comparison of Absolute and Rotary Positional Encodings SharedSAE: a unified sparse dictionary across u-net blocks and denoising time for diffusion models Artificiality's First Exam: An LLM-Referenced C-test for Supraintelligence Disease-level drug approval forecasting from trial-agnostic public data Bias Robustness of Genetic Multi-Criteria Sorting versus Learned Rankers under Proxy Skew and Label Contamination Pristine Models Human Pose Estimation by Probabilistic Mixtures of Gaussian and Uniform Distributions Does System One Transfer? Calibrated Typed-Decision Models, Label Budgets, and Translation for Indonesian Regional Languages Early Detection of Pension-Sponsor Distress from Public Filings: A Sponsor Vulnerability Index, Stress-Augmented VaR, and Dynamic Self-Investment Caps Hierarchical Multi-Agent Reasoning Systems for Knowledge-Grounded Material Substitution On physical implementability of reinforcement-learning-driven reasoning A Stochastic Analysis Perspective on Diffusion Models Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text Generation AutoEnvScaling: Automating the Data Flywheel with Terminal Agents Visualizing the World Model in an Agent's Value Function Simple Linear Corrections for Compression in Late Interaction Token-Budgeted Candidate Retrieval for 3D Scene-Grounded VLMs: Category Names vs. Pairwise Geometry Harness^2: Recursive Agent Harnessing for an Open World Agentic Data Engineering for LLMs: System Design and a Controlled Empirical Study BigCell: Generating Gigapixel Whole-Slide Images Learning to Sync at the Edge: Client-Side Adaptive Synchronization for Federated Learning Echo: Error-Compensated 4-Bit Tensor-Parallel Communication for LLM Training and Inference GeoFix: Geometry Fixing for 4D Consistent Generation Diagnosing Generalization Boundaries in AI-Based Vulnerability Detection via Calibrated Embedding Distances ConicFlow: constrained Inference-time optimal control for flow matching models MvFFN: Multi-view Floor plan Feed-forward Network for Unposed Wide-Baseline Panorama Layout Reconstruction EV-JEPA: Elastic V-JEPA for Any Device and Cross-Device Inference STREGO: A Scalable Implementation of a Trust-Region Framework for Noisy Bayesian Optimization Natural Code Transformation Confuses Agents in Vulnerability Analysis DexFLEX: Contact-Aware Foundation Controller for Command-Guided Dexterity Deep learning from a control vantage point Decomposing A Neural Learner Understanding and Mitigating Training Instability in Large-Scale Recommender Systems: A Cascade Perspective SPROUT: Scaling Agentic Reinforcement Learning for Long-Horizon Software Engineering Memory Without Curation: Learning Multi-Stream Latent Memory for Robot Policies Scaling Laws for Multimodal Data Mixtures ByteMark: A Unified Byte-Level Watermark for Detection Across Language Models Jevolution: A Framework for Studying Communication and Collective Dynamics in AI Agents Diffusion-Based Auctions for Multi-Winner Banner Ads TartanMatch: Towards Universal Dense Correspondence Across Modalities Identication and Estimation of Nonsymmetric Determinantal Point Processes Learn the Dynamics, Enforce the Physics: Generative Latent Operators for High-Dimensional Beam Evolution LLM-based User-Product Relevance Evaluation for Dynamic Product Advertising Chunk-wise Model-based Policy Optimization Strong Gaussian Approximation of Constant Learning Rate SGD: Bias and Trajectory Inference Dissecting the Carbon-SLO Tension in Geo-Distributed LLM Serving CB-Agent: Concept-Based In-Context Learning for Sequential Action Selection Fine-Tuning Strategy, Not Just Data: A Statistically Rigorous Audit of Gender and Stereotypical Bias in Embedding Models for HR Recommendation Systems Decoupling Knowledge Forgetting and Refusal Learning in MLLM Unlearning EarthAlign: Learning Language-Aligned Representations of Earth System Data Shaping Latent Mixture-of-Experts: From Expert Geometry to Layerwise Capacity Allocation Self-improving data synthesis can scale embedding models across domains and tasks Rethinking Opinion Measurement Interfaces for Human-in-the-Loop Optimization CESNET-TimeSeries26: A Multi-Year Network Traffic Time Series Dataset for Annual Seasonality, Concept Drift, and Long-Term Anomaly Detection KedgeFlow: A Programmable Control Plane for Enterprise AI Agents Explore This! Beat and Downbeat Tracking From a Learned Tatum Grid Physics-informed random neural architectures on compact boundaryless multiply connected manifolds for random-operator models in machine learning and uncertainty quantification Dependency Reasoning for Aspect Sentiment Quadruple Prediction MARL-BattleGrounds: A Novel JAX-native Benchmark for Heterogeneous and Competitive Multi-agent RL FDTD Model of Noise Pollution from an AI Data Center Minimum Volume Optimal Transport for Multivariate Conformal Prediction Bridging Risk Approximation Gaps in Model Predictive Task Sampling via In-Context Modeling An Algebraic Approach to Constrained K-means Clustering CFG-Policy: Unified Diffusion Policy Learning Framework via Classifier-free Guidance What Survives When Activation Steering Is Used as Memory AlphaRLM: Aligning Language Models for Literature-Grounded Symbolic Factor Discovery SEEK: Agentic Knowledge Graph Retrieval for Secure Code Generation Metric-Driven Reinforcement Learning for Object Hallucination Reduction in LVLM-Based Image Captioning DiffGA: Steering Frozen Diffusion Models for Materials Design via Evolutionary Search DisCo Algebra: Why Disintegration and Combination Are Not Inverses What Drives AI Citations? Content, Retrieval and Model Knowledge in Generative Engine Optimization (GEO) Belief Embedding Tree Search TurnCost: Turns, Not Observations: Cache-Aware Loop Engineering for Coding Agents Energy-Guided Learning for Heat Equation with Noisy Source: Optimal Estimation and Generalization Bounds Data-Topology Compatibility Enables Personalization in Decentralized Learning RIECNN: Real-Time Image Enhanced CNN for Traffic Sign Recognition Sanzaru: Benchmarking Protocol Formation under Epistemic & Communication Asymmetry Physics Foundation Models for Efficient Control of Fluid Flows SAFE-KV: Causal Suffix Repair for Behavior-Preserving Non-Prefix KV Cache Reuse in RAG SocraticRepair: Planning-Guided Socratic Tutoring for Program Debugging and Misconception Repair MoSAIC: Learning DAG Scheduling Heuristics from Optimal Schedules through Motif-Aware Recovery and LLM-Guided Reasoning Non-Euclidean Gradient Descent Has Many Edges of Stability Explicit Bounds on Hoffman Constants for Sparse Polyhedral Regularizers Sequent-Prover: Training Agents for Formal, Checkable SMT-based Reasoning What a Data Release Must Preserve for Off-Policy Evaluation Protein Crystallization Segmentation and Classification Using Subordinate Color Channel in Fluorescence Microscopy Images SuperAI: Merging Capabilities Across Heterogeneous Foundation Models Deep Neural Mixed Models for Nonlinear Longitudinal Prediction with Subject-Specific Heterogeneity CoLA: Multi-VLA Coordination via Learned Adapters JSIR: An Audio-Aligned, Multi-Task Dataset of Jazz Standard Recordings TRACE: Temporal Risk Assessment and Concept Editing for Safer Language Generation LiveAnon: Improving Privacy and Utility in Streaming Speaker Anonymization with Codec Language Models From Acoustic Sensing to Physical Actions: A Comprehensive Survey of Security Risks in Edge-Deployed Audio LLM-Based Agents Sensitivity or Criterion? Measuring and Moving When Language Models Act Harnessing SPAD Noise: Test-Time Gated Attention for Indoor Depth Estimation BridgeCodec: Mamba Enhanced Neural Audio Codec with Schr\"odinger Bridge at Low Bitrate Personalized Physiological-Model-Based Neural Network for Glucose Forecasting in Type 1 Diabetes AlphaPilot: Multi-Turn Tool-Using LLM Agents for Adaptive Alpha Mining with Reinforcement Learning RF Fingerprinting of DSP Implementations using Machine Learning: An Over-the-Air Case Study Poisoned into Action: Context Attacks on Typed Decision Workflows Beyond Aggregate Drift: Optimal Client-Specific Windows in Federated Learning ELECT: Settling Identity Before Rendering for Scalable Story Visualization Vision-Predictor-Action: Towards Efficient Embodied AI via Neuro-Symbolic JEPA Predictors Latent-Space Importance Weighting under Covariate Shift Joint Contrastive-Adversarial Representation Learning for Unsupervised Domain Adaptation Screening Collapse under Recursive Synthetic Data Robust Detection of Directional Adversarial Attacks in Deep Neural Networks for Radiological Imaging ProtoPur: Prototype-Purity Pseudo-Labeling for Weakly Supervised Instance Learning in Pathology When do explicit penalties improve flow matching? Notes on Uniform Policy Score Bounds and Lipschitz Continuity for Truncated Gaussian, Product Cauchy, Boltzmann, and Softmax Policies History Replays Itself: Unleashing Long-Context Capability in Linear Attention Adaptive Robust Confidence Sets in High Dimensions Enhancing Zero-Shot Domain Transfer in Low-Resource Sentiment Analysis: A Case Study in Marathi Robust Marathi Sentiment Analysis using Domain-Adaptive Pre-training and Data Augmentation Approaches Inference on the Value of Policy Improvement in Adaptive Experiments Grounding Deep Learning Framework Testing in Data Flow Latent Taxonomies: How Property Induction Develops in Language Model Pre-training Mobility Helps Learning: Unsupervised Model Adaptation for Object Recognition via Movement Personalized LLM Recommendation with Semantic IDs: Autoregressive Beam Search vs. Multi-Token Prediction Entropy-Regularized Mean-Field Games with Average-Reward Criterion: Span-Seminorm Contractions and Model-Free Learning Comparative Study of Canvas- and Coordinate-Based Geometry-Conditioned Neural Networks for Real-Time Prediction of Indoor Environments with Varying Room Dimensions Minimax Rates and Improved Spectral Convergence for Multi-Manifold Clustering Lightweight Scheduling Policies for Continuously Batched LLM Serving Across GPU Architectures Gen Through the Lens: Camera-Controllable Video Generation via Cross-Coordinate Conditioning Fusion Two Linear Programs are Better than One Frequency-Step Cache: Separating Synchronization and Repair for Efficient Autoregressive Video Diffusion Scalable Weak-to-Strong Verifier Hardening for Agent Environments Physics-guided machine learning for saturation control across variable hydraulic conditions in heap leaching Hardware-Assisted Multi-Stage Ransomware Detection with Adaptive Machine Learning Small area learning Harmonic Representations in Symbolic Music Transformers are Localized and Controllable Unfair and Unsafe: Everyday Bias Triggers Emergent Misalignment Using Line Segment Tracking to enable ML-based Track Reconstruction in CMS Improving the Evaluation of Biomedical Question Answering with Few Human Preference Signals Limit Theory for Online Expectile Estimation under Short and Long Range Dependence A Nonlinear Time-Series Theory for Constant-step SGD with Momentum CLNO: Conservative Local Neural Operator for Compressible Flow Prediction How the Classical Baseline Shapes Machine-Learning Speed Claims in Topology Optimization Understanding and Reducing Misalignment in Persuasion Optimization Beyond Single-Pathogen Forecasts: Predicting Shared Respiratory Hospital Burden from Influenza, COVID-19, and RSV Regime-Aware Router Learning for Multi-Domain Medical Image Generation with Diffusion Experts CloneOT: predicting clone-specific perturbation responses with lineage-supervised neural inverse optimal transport Elephant in the Fridge: Constant-Memory Frame Packing for Long Video Understanding Distributional Regression for Arbitrary Response Variables Using ReLU Neural Networks Equilibrium Learning in Unbounded Stochastic Games with Gaussian Transitions Think Before You Speak: Enabling Training-Free Latent Communication Between Language Models Interactive 4D Volumetric Liquid Forecasting under Moving-Solid Interaction Exploration strategies for Gaussian process bandit optimization with inference regret guarantees MSC: Multi-Stage Caster-aware Control Framework with Uncertainty-Aware NMPC and RL-based Execution Layer MP-MNCA: Morphology-Prior Masked Neighbor Cross-Attention for Efficient Spatial Domain Identification OneShot: Label-Efficient Detector Weighting for Time Series Anomaly Detection NetRL: Powering Network Decisions via NetGRPO-Driven Reinforcement Learning Hardware-Friendly Token-Group Activation Quantization for Low-Bit Mamba Super-Resolution Deep learning methods for gamma event selection in TAIGA-IACT image analysis in stereo-mode Deep Speech Representations Track Word Timing along a Low-Dimensional Circular Trajectory agent-risk: Risk Assessment for Changes to AI Agents Moment-Based Anomaly Detection in High-Dimensional Mixed Data Efficient Multi-Agent Reasoning via Confidence-Guided Adaptive Debate ChronoScribe: Semantic-Numerical Specialization for Instruction-Driven Time Series Forecasting RIFT: Token Influence Follows the Path of Least Resistance naspaclust: A hybridisation of spatial fuzzy clustering with nature-inspired optimisation QBFF: Deep Quantum Bottleneck for Automatic Speaker Verification Anti-Spoofing RetroPlanner: Multi-Route Expansion and Multi-Objective Reasoning for LLM-Based Retrosynthesis Planning Taming Nonconvexity with Epigraph Lifting Explaining Heterogeneous Treatment Effects with Causal Forests and the Hoeffding Functional Decomposition CryptoFlowBench: Benchmarking Multi-Hop Reasoning on Blockchains for Cryptocurrency Fund Tracing A temporal graph dissimilarity measure capturing epidemic spreading behavior Differential Privacy Protected Preference Alignment on Survey Derived Data Online Individualized Treatment Selection under Partial Feedback: False Discovery Control and Minimax Optimality KARAMEL: Knowledge-Aware Ranking for Multimodal Entity Linking in the Arts via Heterogeneous Graphs Trust-Calibrated VLA Policy Post-Training with Evolving Imagination Learning Reachability-Based Safety Representations for Real-Time Robot Navigation in Unknown and Dynamic Environments EAU: Environment-Agent-User Co-evolution for Training User-Centric Agents Spectral-Driven Adaptive-Rank Optimizer for Large Language Model Reinforcement Learning with Verifiable Rewards Learning, Compression, and Meta-Complexity Neural Network Preconditioning: A Case Study for the Solution of the Parametric Helmholtz Equation Know Yourself and Know Your Neighbour: A Syntactically Informed Self-Supervised Compositional Sentence Representation Learning Framework using a Recursive Hypernetwork AI Discovery in Combinatorics: From Problems to Solutions and Back to Bigger Problems Scalable Identification of Physics-Based and Neural Dynamics from Partial Measurements From a Large-Scale Teacher to Efficient Multimodal Students for Search Relevance Prediction $\texttt{NFDiag}$: High-dimensional MCMC Convergence Diagnosis with Normalizing Flows Variational Filtering for Bayesian Last Layers with an Independent Binary Probit Surrogate LLM-HB: Language-Aware LLM-Guided Hotword Biasing for Code-Switching ASR Code-Interactive Visual Reasoning for Financial Candlestick Understanding JtT: Rethinking Point Trajectory Diffusion for Diverse and Rigid Motion from an Image Prorsa: Unleashing the Potential of Prefill-Decode Disaggregation in Agentic Reinforcement Learning Integrating Feature Understandability into Feature Selection for Human-Centred Tabular Explanations RFWeave: Learning Wireless Propagation Across Scenes and Transceiver Configurations Amortized Variational Inference of Latent Intensities from Replicated Point Patterns Spectral Costs of Multinomial and Residual Resampling in High-Dimensional Particle Ensembles: A Free-Probability Analysis Universal Distributed Feature Extraction Complementary to Side Information via H-Score Amortised adaptive importance sampling CopyQuad: Quadrupedal Skill Transfer from a Single Side-View Video Without a Depth Model Separating Prompt Harmfulness from Interaction Safety via Partial Generation A Bethe-Ansatz Source of Early Token Correlations: A marginal-preserving construction for parallel proposals InfoVis: Unified Slide Image Generation and Editing When Repeated Measurements Hurt Tabular Foundation Models Predicting Audio Popularity: A Comparative Study of Metadata and Acoustic Features Across Music and Sound Effects Carve VFM: Carving Specialists out of Generalists, Automatic Task-Specific Compression of Vision Foundation Models On the Calibration of Crowdsourcing Aggregators Statistical Downscaling of Daily Precipitation from ERA5 Atmospheric Fields to IMERG over West Africa Growing to See: Efficient Pretraining of Self-Supervised Vision Transformers Calibrated $\alpha$-Barycenters for Multiobjective $f$-Divergence Optimization Sample-Size Extrapolation in Simulation-Based Inference via Statistical Scaling Unsupervised Data Drift Monitoring for Deployed Deepfake Speech Detectors Feature Normalization under Finite Training Budgets Better together? A performance theory of human-machine skill policies under generalization difficulty FORGE: Procedural Weight Generation for Sparse MoE Inference Barycentric Guidance: Turning Foundation Image Editors into Continuous Affective Controllers Neural Bayesian Networks for Modular and Scalable Decision-Making Under Uncertainty ML Engineering Agents - A Data Management Perspective Time Window Optimization for Motor Imagery Classification via Temporal Structure Embedded Reinforcement Learning Minimax Optimality of Shampoo for Nonstationary Stochastic Optimization SarcasTraps: Effect of Sarcasm on Turkish Hate Speech Detection DiTSG: Context-Aware Air Traffic Scene Generation with Multi-Agent Diffusion Transformers PRAISE: A Reproducible Workflow for Non-Programmer Scientists to Implement Published AI Models Predicting Mental Health Help-Seeking Behaviour on Reddit: A Survival Analysis of Linguistic and Behavioural Signals Multi-Agent Deferred-Decision Trajectory Optimization with Anytime-Valid Target Retention for Moving Candidates Understanding Personalization Gains in Whisper Honeycomb Crystal in a Mass-Asymmetric Electron-Hole Bilayer MENTOR: Procedural Shielding of Tool-Using LLM Agents Measuring Variable Importance Using Proportional Inclusive Marginal Effects In-context classification: Calibration and noise in linear attention with softmax readout LocalTrain: Integer-Only Local Learning for Energy-Efficient CNN Training on Edge FPGAs Gluing Local Contexts into Global Meaning: A Sheaf-Theoretic Decomposition of Transformer Representations When LLM Agents See a Conflict but Still Proceed: Cross-Domain Dependencies in Network Slicing SCOPE Before You Sample: Conformal Scores Guide Posterior Exploration for Fast and Calibrated Bayesian Predictive Inference Implicit and explicit reparameterizations of the Folded Normal and Rice distributions Neuromorphic Decoding and Dynamical Image Reconstruction from Populations of Spiking Retinal Ganglion Cells A Generalized McDiarmid Inequality: Sample Reuse and Non-Uniform Unbounded Differences Comprehensive Workflow for Uncertainty-Aware Ionic Liquid Solvent Discovery Generative Flow on Symbolic Abstractions for Embodiment Capability Discovery Soft Teacher Forcing Solvating machine-learning interatomic potentials for solution-phase chemistry Tight End-to-End Accounting for Differentially Private Synthetic Data HybridDualPathNet: Cross-Fusion Attention of EfficientNetV2 and Swin Transformer for Brain MRI Classification of Alzheimer's and Parkinson's Disease Value-Preserving Action Quantization Colored Graph Signal Diffusion Models Calibrating LLM Explanations to Human Decisions with Reinforcement Learning Deeply unrolled alternating projections for phase retrieval GPU Goldmines: Tunable WebGPU Kernels for Edge LLM Inference SSM-Attack: Learning Where to Perturb for Black-Box Face Privacy Accounting for model error in ensemble variational data assimilation through learned generative dynamics Monitoring for Shifts at Unknown Times: Parameter-Free Conditional Conformal Martingales HASTE: Hierarchical and Attribute-aware Supervision for Generative Recommendation A Method for Exact Enforcement of Boundary Conditions on General Curved Triangular Domains: Algorithm and Application to Scientific Machine Learning ClearNav: Perception-Aligned Quadrotor Flight Using Differential-Physics Formal-Verification-Guided Bayesian Optimization for Non-Intrusive Last-Mile Coverage Closure Compositional RL: Evaluating and Training LLMs for Collaborative Reasoning BrowseSafe++: Benchmarking Prompt Injection Detection Across Web Contexts, Languages, and Browser Views Selective Inference for Clustering Under Unknown Covariance An FPGA-Based Spiking Neural Network for Spatiotemporal Pattern Learning and Classification Efficient Fr\'echet Distributional Decoder Alignment for Latent Generative Models From Orbit Matching to Docking: A Hierarchical Reinforcement-Learning Approach to Multiphase Rendezvous Trajectory Design ATTUNE: Agentic Throughput Tuning for LLM Training Dissociating Answerability from Extraction in LLM Question Answering over Radiology Reports Risk-Averse Inference-Time Diffusion Model Alignment with Finite-Sample Guarantees Training Generalist Navigation Policies via Action Self-Distillation Morphology-aware deep learning predicts colorectal cancer survival from whole-slide images textGrain watermarking is harder to detect: can sum-tests still do it optimally? Deficit-Driven Stratified Acquisition for Building STRATA-S12: An Open SAR-Optical Corpus for Self-Supervised Learning LatentRiskBench: Measuring State-Dependent Risks in Enterprise Agents Encoding Context into LLM Weights: What Makes It Context? MedEvo: Medical Reasoning Evolution through Knowledge Navigation Understanding Gene Expression-to-Image Learning: Spatial Structure and Information Fidelity A Differentiable 3D Scene Graph Metric via Contextual Hellinger Triplet Geometry ECG-RSI: Recursive Self-Improvement through Targeted Electrocardiogram Waveform Evolution Representation Geometry and Inductive Biases in Quantum Classifiers across Classical Visual Benchmarks Evidence-First Agentic Verification DT-LoRA: Reaching Beyond the Tangent Space of Low-Rank Adaptation Geometric Structure Predicts Per-Example Neighborhood Loss Under PCA Truncation Auditing Failure Attribution: Label Predictability and Judge Behavior Degrees of Freedom in Multi-Agent Coordination: Between Centralized and Decentralized Regimes Agentic4PDM: Host-Governed Evidence Admissibility for Industrial Fault Diagnosis Beyond the End-Effector: Learning Whole-Arm Contact Manipulation from Human Demonstrations Learning from fracture: Teaching language models to design through physical experience SPARCL: Spatially Adaptive Regional Coverage for Active Learning in Chest X-ray Analysis A Tutorial on Quantum Amplitude Embedding with Data Re-Uploading FASHION-RQ: Mining Hierarchical Semantic Structure for Automated Evaluation of Fashion Retrieval Training LLMs for Multi-Agent Collaboration with Verifiable Information Rewards PaceReasoner: Label-Free Learning to Answer Briefly from Long Reasoning Learning Distributions from Samples and Qualities CALM-5G: Event-Level Conformal Risk Control for Predictive Service-Assurance Alarms AlignPred: Error-Controlled KV Cache Compression via Alignment and Predictive Coding Rarity Determines Minimax Rates of Semantic Entropy From Weak Pairwise Judgments With a Known Channel All-electron machine-learned orbital-free density functional for periodic CHNO systems SHELDON: Reasoning through Dual Search over Hypothesis and Observation Spaces Can Machine Learning Potentials Be More Accurate Than the Methods They Are Trained On? Weighting-Based Strategies for Classification: Analysis and Local Peak Dynamics with CART Trees High-fidelity Three-Dimensional Flow Field Reconstruction Driven by Turbulent Fluid Dynamics LADDER: A Long-Horizon Robot Manipulation Benchmark Privacy-Preserving GNN Inference on Financial Transaction Graphs via Homomorphic Encryption Reliable Scale-Free Bandits via Empirical Likelihood WorkRover: Scaling Long-Horizon Cowork Agent Training Via Recursive Environment Evolution ResearchFlow-Eval: Tracing the Execution Gap in End-to-End Multi-Claim Autoresearch H-DDCM: Hadamard Codebooks for Fast Generative Image and Video Compression Distance Prediction for Quantum Codes Lifting Finite-Sample Gaussian Approximation of Wide Neural Networks to Functional Convergence Neuro-Symbolic Graph Transformers for Hierarchical Intention Recognition from Multimodal Human Activity Sequences Link Both Views: Cross-Image Routing Attention for Dual-Endpoint V2I Beam-Pair Power Prediction Hierarchical Time Series Forecasting with Operator-Valued Kernels When Does Opponent Modeling Pay Off? Spatial Inference Stabilises Reinforcement Learning under Partial Observability LiFUSE: Frequency-Spatial Unified Self-Supervised Pretraining for Liver Disease Analysis on Non-contrast CT Robust Logical Anomaly Detection under Capture Shifts via Synthetic Anomalies Probing the Geometry of Color Representations in Multilingual Language Models On the Optimality of Random Features under General Conditions: Misspecified Cases and Robust Learning Beyond RMSE and Granger Gain: Multi-Horizon Forecast-Error Entropy for Nonlinear Predictive Coupling LunaTP: Enabling Efficient and Scalable Tensor Product for Equivariant MLIPs Overcoming Catastrophic Forgetting: Continual Learning for Radar Waveform Classification Agaram 2.5B: The First Tamil-First Language Model Trained from Scratch with Tool Calling. A Playbook for Under-Represented Languages Principled Design of Expected Improvement for Continuous Simulation Optimization FastEEP: Fast Intra-Instance Elastic Scaling for Expert-Parallel MoE Serving Kairos: Transactional Security Enforcement at the System Boundary for LLM Agents Simplifying and Improving On-Policy Distillation for Few-Step Diffusion Lifting: Quantum State Discrimination Framework for Mid-Circuit Measurements ReTerm: Recovery Training for Self-Improving Terminal Agents Steering the Fidelity in State Preparation on Noisy Bosonic Systems with Risk-Seeking Optimization How Low Can You Go: Fine-Tuning LLMs with Bayesian Optimization (LlMBO) Towards Safe Autonomy for Computer Use Beyond the Encoder: Object-Centric Representations Emerging from Segmentation Foundation Models Understanding Circulant Permutation to Extend the CMinHash Estimator Linear Last-Iterate Convergence Rates for Optimistic Learning in Harmonic Games LLM Agents for Automated Post-Training via Structured Recipe Optimization GeoMER: A Joint Euclidean-Hyperbolic Geometry Framework for Multimodal Emotion Recognition Autonomous Cyber Operations Gym for Training and Evaluating AI Models for Defence ACCRUE: Continual Off-Policy Reinforcement Learning for Robot Foundation Models PhysicsSliders: Learning Physical Controls for Audio Foley Generation Can an Agent Learn to Predict Its Own Failure? Outcome-Grounded Confidence Calibration in LLM Agents Minimax rates for pointwise CATE estimation: the role of design smoothness MajorTOM:Elliot Pretrain, A Multi-Sensor, Multi-Temporal Pretraining Dataset for Earth Observation Grid or Nodes? Probing Object Memory in World Models Under Partial Observability To Align or Not To Align: Check Your COMPASS Before You Train AMemOps: Evaluating Memory Updates in Long Audio Streams Texture Interpolation as Texton Matching Knowing the User Is Not Knowing What We Established: Grounding Awareness in Personal Agents Just Respect the Semantics: Image-Token Compression via Pre-LLM Semantic Variable-Resolution Tokenization and In-LLM Relevance Pruning GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models UniW(A)M: A Unified Mixture-of-Experts Framework for World and World-Action Models On Collusion-Free Teaching in Planar Graphs AIRRI: Towards a Human-Readable, Machine-Resistant Reading Interface Emergent Loop Geometry in Gauge-Equivariant Graph Neural Networks Registration is a Representation Problem: Solving Whole-Body PET/CT Registration Joint Neural Posterior Estimation and Model Selection for Chemical Reaction Networks RoboSimStudio: An Interactive Toolkit for Human and Agent Rapid Real2Sim of Robot Manipulation Tasks Who Improves the Robot? Toward Physical Recursive Self-Improvement MFG: Multi-turn Feedback Guided Molecular Optimization Hybrid Reasoning Agents DoubtLess: Training-Free Contrastive Decoding for Efficient Reasoning Data Free Training of Diffusion Models for Lattice Field Theories Tev: Scaling Long-Horizon Agentic Environments with Dense Progress Rewards What Matters in Quality-Aware VLA Pretraining: A Benchmark and Empirical Study Cepheid: Decoupling Scale from Structure for Cross-Family Motion Completion Optimal Transport Aggregation for Distributed Mixture-of-Experts Efficient Constrained Graph Search for Post-hoc Error Correction in Binary Classifiers Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework The Geometry of the Set of Equivalent Linear Neural Networks Prediction Is All MoE Needs: Expert Load Distribution Goes from Fluctuating to Stabilizing Transductive Off-policy Proximal Policy Optimization GREAT: A Graph Edge Attention Network for the Electric Vehicle Routing Problem with Asymmetric Costs Convergence of Sharpness-Aware Minimization Algorithms using Increasing Batch Size and Decaying Learning Rate Is Complex Query Answering Really Complex? Generative Conformal Prediction with Optimized Coverage Allocation ReMAP: Lossless Residual Neural Lifting for Scalable MAP Inference in Arbitrary-Order Markov Random Fields Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing Asynchronous Sharpness-Aware Minimization For Fast and Accurate Deep Learning Toxicity Is a Property of Communicative Events: A Contextual Stress Measurement Framework for NLP SAEs Can Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks - the GATTACA Framework Weisfeiler and Leman Follow the Arrow of Time: Expressive Power of Message Passing in Temporal Event Graphs Benchmarks Are Not Atomic: Composition-Aware LLM Evaluation using BenchHub GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models Curriculum-Adapted Robust Reinforcement Learning for UAV Deconfliction in Adversarial Environments Physics-Informed Graph Neural Networks to Reconstruct Local Fields Considering Finite Strain Hyperelasticity The Serial Scaling Hypothesis Understanding the Interplay between Memorization and Learning in Large Language Models Inexact calculus of variations on the hyperspherical tangent bundle with connections to the attention mechanism PVD-ONet: A Multi-scale Neural Operator Method for Singularly Perturbed Boundary Layer Problems Signature-Kernel One-Class Learning with Manifold Regularisation for Multivariate Time Series Anomaly Detection There are Levels to It: Red Teaming Dialogue With Hierarchical Reinforcement Learning Cross-Subject and Cross-Montage EEG Transfer Learning via Individual Tangent Space Alignment and Spatial-Riemannian Feature Fusion A Note on Graphon-Signal Analysis of Graph Neural Networks Bouncy particle sampler with infinite exchanging parallel tempering JaGNet: Detection, Identification and Position Error Correction of GNSS Jamming with Deep Temporal Graphs PPGFlowECG: Latent Rectified Flow with Cross-Modal Encoding for PPG-Guided ECG Generation and Cardiovascular Disease Detection Frequency-Aware Model Parameter Explorer: A new attribution method for improving explainability Rethinking Langevin Thompson Sampling from A Stochastic Approximation Perspective Bayesian Optimization under Uncertainty for Training a Scale Parameter in Stochastic Models Batch Bayesian Active Learning with Partial Batch Label Sampling Efficient Test-Time Adaptation through Latent Subspace Coefficients Search A Function-Centric Perspective on Flat and Sharp Minima Stochastic Difference-of-Convex Optimization with Momentum Deep Jump Gaussian Processes for Surrogate Modeling of High-Dimensional Piecewise Continuous Functions Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning Energy-Efficient Deep Learning Without Backpropagation: A Rigorous Hardware-Validated Benchmarking Study of Forward-Only Algorithms The Optimization Landscape of Carath\'eodory Decomposition of Toeplitz Covariances A Byzantine-Robust Federated Learning with Nesterov Momentum QuAnTS: Question Answering on Time Series ProDER: A Continual Learning Approach for Fault Classification and Localization in Evolving Smart Grids Naga: Vedic Encoding for Deep State Space Models Neural Evidence and Behavioural Welfare Economics: When Can Neuroeconomics Inform Policy? From Topology to Retrieval: Decoding Embedding Spaces with Unified Signatures PISA: Prioritized Invariant Subgraph Aggregation for Out-of-Distribution Generalization on Graphs UMM-RM: An Upcycle-and-Merge MoE Reward Model for Mitigating Reward Hacking Understanding Negative Learning in Large Language Model Fine-tuning Quantum-Classical Physics-Informed Neural Networks for Solving Reservoir Seepage Equations ASCIIBench: Evaluating Language-Model-Based Understanding of Visually-Oriented Text Wait, Wait, Wait... Why Do Reasoning Models Loop? Deep Learning and Elicitability for McKean-Vlasov FBSDEs With Common Noise AdvJudge-Zero: Binary Decision Flips in LLM-as-a-Judge via Adversarial Control Tokens KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning Measuring all the noises of LLM Evals HERO: Hierarchical Evidential Reasoning Optimization for Radiology Report Generation via Reason-then-Summarize ECLIPTICA -- A Framework for Switchable LLM Alignment via CITA - Contrastive Instruction-Tuned Alignment Architecture Before the Formula: Training-Dependent Computational Semantics in Transformers Unrolled Neural Networks for Constrained Optimization Signal from Structure: Exploiting Submodular Upper Bounds in Generative Flow Networks Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening Mechanistic Evidence for Spectral Structures in Prior-Data Fitted Networks Transfer Denoising of Low-Rank Plus Sparse Matrices under Ambient and Rank Growth Federate the Router: Learning Language Model Routers with Sparse and Decentralized Evaluations FIRE: Multi-fidelity Regression with Distribution-conditioned In-context Learning using Tabular Foundation Models From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs DCD: Decomposition-based Causal Discovery from Autocorrelated and Non-Stationary Temporal Data Towards Optimality in Active Preference Learning Distance Marching for Generative Modeling Grables: When Graph Structure Helps Tabular Prediction Flow Matching for Offline Reinforcement Learning with Discrete Actions A Behavior-first approach to Multi-Intention Inverse Reinforcement Learning On the Dynamics of Delayed Generalization in Linear Models Certified Per-Instance Unlearning Using Individual Sensitivity Bounds A Structural Theory of Position Bias in Transformers What is the Value of Censored Data? An Exact Analysis for the Data-driven Newsvendor Prompt Interference in LLM Post-Training: Why Pass@k Optimization Can Degrade Pass@1 Rethinking Floorplan Generation with Space Syntax: From Design Theory to Model Improvement An Analysis of Role Semantics in Directed Dynamic Graph Modeling for Edge Classification TopoCurate:Modeling Interaction Topology for Tool-Use Agent Training Learning Shortest Paths with Generative Flow Networks Next-token Preference: Scaling Unsupervised Reward Modeling Less Noise, Same Certificate: Retain Sensitivity for Unlearning SERQ: Saliency-Aware Low-Rank Error Reconstruction for LLM Quantization Grammar of the Wave: Towards Explainable Multivariate Time Series Event Detection via Neuro-Symbolic VLM Agents Deep probabilistic model synthesis enables unified modeling of whole-brain neural activity across individual subjects DyJR: Preserving Diversity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon Replay Holistic Scaling Laws for Optimal Mixture-of-Experts Architecture Optimization Structural Pass Analysis in Football: Learning Pass Archetypes and Tactical Impact from Spatio-Temporal Tracking Data Soft MPCritic: Value-Based Reinforcement Learning for Non-Differentiable Predictive Control Process Rewards for Outcome-Guided Reasoning Steps in LLM Reinforcement Learning Hierarchical Planning with Latent World Models The causal relation between off-street parking and electric vehicle adoption in Scotland Learning to Test: Latent Representation Learning for Dynamic Instability Detection Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning L1 Regularization Paths in Linear Models by Parametric Gaussian Message Passing Cover meets Robbins while Betting on Bounded Data: $\ln n$ Regret and Almost Sure $\ln\ln n$ Regret PermaFrost-Attack: Stealth Pretraining Seeding(SPS) for planting Logic Landmines During LLM Training Probabilistic Circuits for Irregular Multivariate Time Series Forecasting AdNGCL: Adaptive Negative Scheduling for Graph Contrastive Learning Bilinear Mamba-Koopman Neural MPC for Varying Dynamics Fitted Q-Iteration with Continuous Actions and Adaptive Data: Smoothed Coverage and Minimax Rates Selective Successor Eligibility Traces for RLVR Requests of a Feather Must Flock Together: Batch Size vs. Prefix Homogeneity in LLM Inference AdaGamma: State-Dependent Discounting for Temporal Adaptation in Reinforcement Learning Constrained Contextual Bandits with Adversarial Contexts Federated Layer-Wise Exchange for Cross-Client Money Laundering Pattern Detection Diffusion-Based Posterior Sampling: A Feynman-Kac Analysis of Bias and Stability PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents Slowly Annealed Langevin Dynamics: Theory and Applications to Training-Free Guided Generation ErrOPD: When Does On-Policy Distillation Transfer Teacher Errors? Doubly Robust Proxy Causal Learning with Neural Mean Embeddings The Value of Mechanistic Priors in Sequential Decision Making Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning When and How to Canonize: A Generalization Perspective Train Short, Act Long: Multistability and the Horizon Independence of Recurrent Policies Discrete Flow Matching for Offline-to-Online Reinforcement Learning Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training Discrete MeanFlow: One-Step Generation via Conditional Transition Kernels LoopQ: Quantization for Looped Language Models Learning Higher-Order Interactions from Incomplete Spatiotemporal Data with Mixtures of Hypergraph Laplacians Verifiers in the Loop: Decoding Time Verification for Code Translation $\boldsymbol{f}$-OPD: Stabilizing Long-Horizon On-Policy Distillation with Freshness-Aware Control Training data attribution in diffusion models via mirrored unlearning and noise-consistent skew OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond Exploiting Non-Negativity in DAG Structure Learning Exact Symmetry as Algebra: Group-Structured Tensors that Enforce Physical Selection Rules Noise Schedule Design for Diffusion Models: An Optimal Control Perspective Do Deep Ensembles Actually Capture Uncertainty in Graph Neural Networks? Do You Even Need More Data? Rethinking LLM Deployment for Label-Scarce Tabular Classification with TabLens GAC: Noise-Aware Adaptive Mixing for Hybrid SFT-RL Post-Training When LLM Reward Design Fails: Diagnostic-Driven Refinement for Sparse Structured RL idSCD: Identifying Training Datasets through Semantic Correlation Descriptors Hoeffding Concept Bottleneck Models with Applications to Overhead Images How Much Can Repeated Running Buy? A Measured Variance Ceiling for LLM Code Evaluation Interaction-Limited Safe Continuous-Time RL for Dynamical Medical Treatment Novel Aspects of IEEE SA P3109 Arithmetic Formats for Machine Learning Adaptive Patching Is Harder Than It Looks For Time-Series Forecasting The Geography of Algorithmic Judgment: LLM Intermediaries, Place Identity, and Racial Steering in Housing Search Geometry-Aware Reinforcement Learning for 2D Irregular Nesting PhaseQuant: Mitigating Activation Quantization Collapse via Residual-Stream Dynamics Learned Structure Shows Up Earlier in the Task's Own Basis: A Controlled Look at a Synchronisation Precursor in Grokking Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning Understanding Helpfulness and Harmless Tension in Reward Models Constrained Diffusion Models with Primal-Dual Inference Data-Aware Model Merging in the Essential Subspace for Multi-Task Knowledge Aggregation Human-like autonomy emerges from self-play and a pinch of human data Horizon Adaptive Offline Policy Learning via Value Stitching On the Sparsity-Storage-Accuracy Tradeoff in Parsimoniously Activated Dictionary Learning Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention Learning with a Single Rollout via Pass@k Policy Optimization Error-Conditioned Neural Solvers Blackknife: Query-Free Black-Box Rewiring Attacks on Heterogeneous Graph Neural Networks Federated Learning with Energy-Based Structured Probabilistic Inference FlexTab: A Flexible Encoder-Decoder Architecture for In-Context Learning Across Diverse Tabular Tasks Ember: A Kilobyte-State Optimizer for Token Interfaces Auditing Finite-Lag Statistics of Recurrent Representations ManifoldFlow: Spectrum-Learnable Stiefel Optimization via SPD Relaxation Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Inference HarnessMDP: Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning A Coin Flip Per Token: Bernoulli Sparse Steering of Large Language Models Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion Efficient Long-Horizon Learning for Learned Optimization Multi-Agent AI Control: Distributed Attacks Hamper Per-Instance Monitors On Generalizing Preference-based Reinforcement Learning to Multi-Objective Problems From hyperplanes to hyperellipsoids: a pedagogical bridge from linear classifiers to single-qubit mixed-state classifiers Neural Non-Equilibrium Hamiltonian Monte Carlo for Corrected Boltzmann Sampling DRNOISE: Benchmarking Deep Research Agents in Misleading Evidence Environments H$^2$SD: Hybrid Hindsight Self-Distillation Audit Before You Update: Recording Artifacts and the Limits of Bounded Model Updates in MIMIC-IV ICU Prediction REGEN: Replay-recycling for Expert-to-Generalist distillation with Offline Reinforcement Learning Modeling Fly Social Behavior with Agent-Centric Pose Forecasting Active Inference as a Convex Markov Decision Process Learning What Matters: Causal Evidence Sets for Global Context Pruning RIS-Kernel: A Model-Agnostic Architecture for Long-Context LLM Inference via Sparse Attention Constraint-Aware Influence Estimation in Deep Constrained Learning Per-Context Reverse Curricula for Sparse-Reward Reinforcement Learning Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes Flux-OPD: On-Policy Distillation with Evolving Contexts Flow Matching with Missing Data Gated Q-learning: Add Off-Policy Bias to Taste Progressive Agent Skill Generation via Reinforcement Learning SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV Retrieval EvolveNet: Collaborative Harness Evolution for Agent Self-Improvement KV-Skill: Forging Expertise in the Model's Native Language SAGA: Score-Weighted Adaptive Generation Alignment for Low-Resource Nordic Language Models Every Cache Entry Earns Its Place: Global Allocation of Resolution and Coverage for KV Cache Compression Online Conformal Prediction Beyond Feedback Router Sensitivity Under Lightweight Fine-Tuning Identifies Prunable Experts in Mixture-of-Experts Models Forecasting Without Full Identification: Reliability and Computational Cost in Clot-Growth Simulation Why AI Detection Fails for Academic Integrity Certified but Private: Scalable Zero-Knowledge Proofs for Neural Network Guarantees SIGMA: Symmetry-aware, Intelligent, Geometric, Multi-faced Adaptive Traffic Control for Reliable Intelligent Transportation Systems AQLoRA: A Zero-Search Recipe for Fast Quantized LoRA Fine-Tuning A Token-Level Analysis of Sampled-Token Reverse-KL On-Policy Distillation DualOPSD: Closing the Feedback Loop in On-Policy Self-Distillation Circuit Condensation: Post-Training that Concentrates a Behavior's Causal Circuit Parser Transitions Already Reveal Structural Responsibility: KV Persistence for Structured Generation Sparse Koopman Autoencoders Identify Local Dynamical Regimes in Multibasin Systems Subliminal Learning as Trait-Direction Drift: A Mechanism and Targeted Control under SFT Distillation LatentPress: Context Compression Beyond Text and Vision TC-Next: Zero-Shot Multimodal Cyclone Forecasting Evaluating and Recalibrating Probabilistic Classifiers from One-Bit Threshold Queries Hessian-Informed Conformation Augmentation for Potential Energy Surface Curvature in Machine Learning Interatomic Potentials A First-Order Learning Algorithm for Online Resource Allocation with Constant Regret Topological Fraud Detection in Latent Transaction Spaces Structured Multi-Level-Set Inversion for 3-D Electromagnetic Inverse Scattering From Protocols to Evidence: Bounded Claims for AI in Service of the Common Good Evaluating LLM-Generated Rules for Heart Disease Prediction CyFM: Cylindrical Optimal Transport for Few-Step Complex-Valued Flow Matching Convergence rates for generative drifting flows: fixed-scale obstructions and multihead acceleration The record is part of the task: matched-record evaluation of text classifiers across maintenance, safety and recall reporting When AI Reviews Train AI Reviewers: Scientific-Judgment Collapse and Mitigation Trading Depth for Time in Recurrent Transformers WildfireSpreadBench: The Metric Decides the Model in Wildfire Spread Prediction Same Outcome, Different Readout: What Does a Steerable Valence Direction in LLMs Represent? Token Utility Is Selection-Conditioned: Coupled Selection of Prompt Context and Response Supervision for Instruction Tuning Multivariate quantile regression via Kolmogorov-Arnold Networks Misaligned Clinical Risk Classification and Cost Asymmetry in Open-Weight Large Language Models NAVIR: Neuromorphic Audio-Visual Speech Recognition for Robust Human-Robot Interaction on Edge Hardware Mean Velocity Matching: Rethinking Generative Dynamics in Diffusion Models When Post-Processing Fairness Constraints Help and When They Harm: Evidence from Eight Cross-Domain Evaluations WTF?! Simulation-Free Reinforcement Learning with Wasserstein-Tilted Flow Maps Quantization-Robust Unlearning through the Lens of Retain-Forget Loss Landscapes Interaction Limiting-Kernel Q($\lambda$): Bridging Short and Long Horizons CataOPD: Catalytic On-Policy Distillation for Large Language Model Reasoning GeoACE: Geometry-Diverse Anchor-Correction Ensembles for Heterogeneous Treatment Effect Estimation Feature Selection for Tabular Foundation Models: Exploring Feature Utility in Low-Data Molecular Prediction SoFT: Soft Targets for Generalizable LLM Fine-Tuning You Only Edit Once: Incentivizing In-Context Capability of LLMs via Local Demonstration Refinement Predicting Delayed Train Trajectories on the Dutch Railway Network: Explainable AI Evaluation of Topological, Operational and Weather Features with Tree Based Ensemble Methods NeuronSifter: An Agent-in-Twin for Prioritizing Central Nervous System Interventions with World Action Models Koa-decision: Fast and Consistent Structured Decision Making with Generative LLMs Draft in Parallel, Condition Through Depth: Adjacent Causal Injection for Speculative Decoding CHAIN: Calibrated LLM Forecasting via Causal-Temporal Hypergraph Inference PatchKV: Weight-Space Compensation of KV Cache Preemptive LLM Unlearning against Forbidden Capability Acquisition via Gradient Sealing Accelerated Algorithm for Sparse Regularized Partial Optimal Transport Policy Iteration Is Not Strongly Polynomial for Deterministic Markov Decision Processes: The Price of Algorithmic Anarchy From Spectra to Joint Schedules in LLM Pre-training: 3+3(+2) Scaling-Law Regimes SkillSpec: Consensus-Gated Agent Skill Evolution via Representation Specialization TrueMuse: A Benchmark for Data Attribution in Text-to-Music Models Sim+Real: Joint Simulation-Experiment Training Improves Balanced Prediction in Physical Systems Are We Recovering Mechanisms? Objective-Level Recovery Gaps in Mechanistic Interpretability LiteEMG-FM: An Efficient and Deployable Foundation Model for Robust EMG Sensing DISSOLVR: An Interpretable and Fast Framework for Aqueous and Organic Solubility Prediction ULTRADISCOVERY: Abductive Exploration in an Interconnected, Epistemically Open Universe AdaStep: Adaptive Step Credit Weighting for Agentic Reinforcement Learning Memory-State Critic for Asymmetric Actor-Critic with Application to Vision-Based Pursuit-Evasion Clean: Second-order LLM Training at Linear Memory Cost via Nystr{\"o}m Sketching Localized Operator Learning with Adaptive Partition-of-Unity Mixture-of-Expert Networks TempoBridge: Source-Conditioned Flow Matching with Optimal Transport Couplings for Single-Cell Population Transitions E$^2$-OPSD: Taming Entropy Overshoot in On-Policy Self-Distillation No Concept Escapes the Audit: Auditing-Aware Unlearning for Verifiable Concept Erasure in Diffusion Models Poisson-GENERIC Neural Operators: Exact Metriplectic Structure in Function Space via Casimir Entropies Boosting Transferable Adversarial Attacks against Deep Reinforcement Learning QiYao-I: A Manifold Based Foundation Model for Irregular Multivariate Time Series Forecasting When Attention Does Not Explain the Peak: Temporal Reference vs. Forecast Output in Attention-Based Time-Series Forecasting Scale-Invariant Training for Time Series Foundation Models Efficient Multimodal Inference through Adaptive Acquisition and Sequential Fusion GraphOPD: Graph-Augmented On-Policy Distillation for LLM Agents Directed Temporal Representations for Offline Visual Control The Best Optimizer Depends on Batch Size Towards Financial World Modeling When Should an In-Context Learner Expand Its Hypothesis Space? EvoSignal: LLM-Guided Evolutionary Design of Modular Traffic Signal Control Programs Coding-Agent Benchmarks Should Match Their Users' Task Flows Beyond Policy Support: Interaction Constrained Offline Reinforcement Learning for Autonomous Driving Identifiability of a dissipative knowledge-dynamics model: exact recovery under designed excitation, degeneration on observational data NeuralBES: A Differentiable, Control-Aware Emulator for Scalable Building Energy Modeling CityDeploy-Bench: Benchmarking Physics-Grounded Spatial Set Planning for Multi-Transmitter Network Deployment Do LLMs Learn from Rewards in Context? : Rethinking the role of reward in In-Context RL Zatom-2: Multitask Pretraining on Atomistic Data for Generative Modeling across Domains Sera: Semantic Representation Aggregation with Knowledge and LLM for Reliable and Interpretable Battery Health Forecasting Recovery Guarantees for Posterior Sampling of One-Bit Compressed Sensing Stochastic Grouping Conformal Prediction for Effective Subgroup Reliability Telling FIBS: Probes Effectively Detect Sabotage and Catch Unverbalized Deception Efficient Learning of Survival Analysis Models Under Outcome-Dependent Truncation and Censoring Deploying RDMA for Distributed Inference and Training At Scale ReSFlow: Rectifying Categorical Flows on Statistical Manifolds for One-Step Generation TabMF: Learning Dataset Representations with Tabular Foundation Models Designing Protein Structures from Natural Language Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images Bayesian Nonparametric Thompson Sampling for Multi-Armed Bandits Universal set of Observables for Forecasting Physical Systems through Causal Embedding Tensor-reduced atomic density representations Concentration inequalities for leave-one-out cross validation Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary NeuSE: Neural SE(3)-Equivariant Embedding for Long-Term Object-Based Simultaneous Localization and Mapping Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation Watermarking Continuous Tabular Data Generation Scale-specific auxiliary multi-task contrastive learning for deep liver vessel segmentation Building Multilingual Datasets for Predicting Mental Health Severity through LLMs: Prospects and Challenges Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription Natural Language Generation from Visual Events: State-of-the-Art and Key Open Questions Robustness and Cybersecurity in the EU Artificial Intelligence Act Towards Understanding Deep Learning Model in Image Recognition via Coverage Test Equilibrium Distribution for t-Distributed Stochastic Neighbor Embedding with Generalized Kernels Ensemble-MIX: Enhancing Sample-Efficiency in Multi-Agent RL via Selective Ensemble-Based Exploration Co-Creative Learning via Metropolis-Hastings Interaction between Humans and AI On the Upper Bounds for the Matrix Spectral Norm Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models End-to-End Spoken Grammatical Error Correction RCStat: A Statistical Framework for using Relative Contextualization in Transformers Logit-Gap Steering: A Forward-Pass Diagnostic for Alignment Robustness Artifacts of Numerical Integration in Learning Dynamical Systems High-Order Error Bounds for Markovian LSA with Richardson-Romberg Extrapolation One Size Does Not Fit All: Distribution-Guided Tensor-Wise Adaptive Sparsification for Model Merging OPTIC-ER: A Reinforcement Learning Framework for Real-Time Emergency Response and Equitable Resource Allocation in Underserved African Communities Are LLM Agents Behaviorally Coherent? A Latent Profiling Approach for Social Simulation LIFT: Likelihood-Based Intervention Faithfulness Training Provably scalable learning from quantum many-body data via locality Metadata-Guided Adaptable Frequency Scaling across Heterogeneous Applications and Devices Optimal Diagonal Preconditioning Beyond Worst-Case Conditioning: Theory and Practice of Omega Scaling Contextual Representation Flow Across Depth in State-Space and Transformer Architectures Compositional Machine Design as Program Synthesis with LLMs A Novel GPT-Based Framework for Anomaly Detection in System Logs Mode Collapse of Mean-Field Variational Inference Toward Agents That Reason About Their Computation Complexity Dependent Error Rates for Physics-informed Statistical Learning via the Small-ball Method RNAGenScape: Property-Guided, Optimized Generation of mRNA Sequences with Manifold Langevin Dynamics e1: Learning Adaptive Control of Reasoning Effort Learning Robust Visuomotor Policies via Dynamics Alignment UnSAMv2: Self-Supervised Learning Enables Segment Anything at Any Granularity Interpretable Multimodal EEG-ECG Framework for Neonatal Seizure Prediction and Patient-Adaptive Transfer Learning How to Train Your Latent Control Barrier Function: Smooth Safety Filtering Under Hard-to-Model Constraints Self-sufficient Independent Component Analysis for Demixing Flows Control Consistency Losses for Diffusion Bridges An Agentic AI System for Multi-Framework Communication Coding Sampling from multimodal distributions with warm starts: Non-asymptotic bounds for the Reweighted Annealed Leap-Point Sampler QSAR-Guided Generative Framework for the Discovery of Synthetically Viable Odorants Nonparametric Kernel Clustering with Bandit Feedback Self-Creating Random Walks for Decentralized Learning under Pac-Man Attacks Probe and Skip: Self-Predictive Token Skipping for Efficient Long-Context LLM Inference Convex Chance-Constrained Stochastic Control under Uncertain Specifications with Application to Learning-Based Hybrid Powertrain Control The pretraining domain outweighs the training objective in setting the privacy-utility trade-off of differentially private medical image analysis VRIQ: Benchmarking and Diagnosing the Visual-Reasoning IQ of Vision-Language Models PACC: Protocol-Aware Cross-Layer Compression for Compact Network Traffic Representation Dex4D: Task-Agnostic Point Track Policy for Zero-Shot Dexterous Manipulation Simple Baselines are Competitive with Code Evolution Causal Identification from Counterfactual Data: Completeness and Bounding Results Skin Tone in the Wild: A Dataset and Benchmark for 10-tone MST Classification Efficient K-generalizable Learned Search Contrastive Metric Learning for Point Cloud Segmentation in Highly Granular Detectors TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visualization Weakly Convex Ridge Regularization for 3D Non-Cartesian MRI Reconstruction Detecting Multi-Agent Collusion Through Multi-Agent Interpretability Learning Families of Fixed-Wing Aircraft Control Policies with Hypernetwork-Conditioned Reinforcement Learning Quasicrystal Architected Nanomechanical Resonators via Data-Driven Design CMP: Robust Whole-Body Tracking for Loco-Manipulation via Competence Manifold Projection Mitigating Distribution Sharpening in Math RLVR via Distribution-Aligned Hint Synthesis and Backward Hint Annealing Sim-to-Real Transfer for Muscle-Actuated Robots via Generalized Actuator Networks MosaicMRI: A Diverse Dataset and Benchmark for Raw Musculoskeletal MRI KMMMU: Evaluation of Massive Multi-discipline Multimodal Understanding in Korean Language and Context Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification World-Value-Action Model: Implicit Planning for Vision-Language-Action Systems A Unified Fractional Regularization Framework for Sparse Recovery ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks Dependency Parsing Across the Resource Spectrum: Evaluating Architectures on High and Low-Resource Languages Refining Compositional Diffusion for Reliable Long-Horizon Planning Towards accurate extreme event likelihoods from diffusion model climate emulators When Does Trimming Help Conformal Prediction? A Retained-Law Diagnostic under Calibration Contamination Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention RewardHarness: Self-Evolving Agentic Post-Training PGID: Progressive Guided Inversion and Denoising for Robust Watermark Detection Overcoming Catastrophic Forgetting in Visual Continual Learning with Reinforcement Fine-Tuning Federated Language Models Under Bandwidth Budgets: Distillation Rates and Conformal Coverage A Few Steps Further: Why Defenses Against Malicious Finetuning Erode Under Continued Training Concurrency without Model Changes: Future-based Asynchronous Function Calling for LLMs $\alpha$-TCAV: A Unified Framework for Testing with Concept Activation Vectors Tight Complexity of Muon under Heavy-Tailed Noise Energy per Successful Goal: Goal-Level Energy Accounting for Agentic AI Systems How Do Uncertainty Estimators Align with Hallucination Occurrence in LLMs? TraceCodec: A Compiler-Backed Neural Codec for Network Traffic Traces Conformal Certification of Reasoning Trace Prefixes On Finite-sample Concentration of Median of Incomplete U-Statistics SeeTraceAct: Visibility-Aware Latent Planning from Cross-Embodiment Demonstration Videos RogueMerge: Robust and Unified Attacks against LLM Model Merging Post-Rejection Follow-up Sampling: Measuring Outcomes of Rejected Decisions in Algorithmic DEX Trading FiberTune: Preserving Action-Fiber Visual Residuals in Vision-Language-Action Fine-Tuning RAM: Reachability Across Morphologies Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks What Drives Test-Time Adaptation for CLIP? A Controlled Empirical Study from an Update Perspective LLM Judges Have Dark Current: Stratified Null and Utility Tests for LLM Judge Reliability Retrievable Gradients: Continual Post-Training Without Cumulative Weight Drift Learning a Sampling-Free Variational DNN Plugin from Tiny Training Sets to Refine OOD Segmentation With Uncertainty Estimation LoComposition: Terrain-Adaptive Energy-Efficient Quadruped Locomotion without Gait Priors BehaviorBench: Benchmarking Foundation Models for Behavioral Science Tasks Two-dimensional Hyperbolic RNN Neural Quantum State From Clicks to Intent: Cross-Platform Session Embeddings with LLM-Distilled Taxonomy for Financial Services Recommendations Beyond Cultural Persona Bias: Response Geometry as a Measure for Language Models and People TTHE: Test-Time Harness Evolution Flexible Inverse Design of Optical Multilayer Coatings Using Discrete-Continuous Flow Matching Phone Segmentation and Recognition through Phonological Activation Mapping Automatic Thematic Indexing of Large Literary Corpora: A Machine Learning Approach to Voltaire's Complete Works Never Too Late for Force: Accelerating VLA Post-Training with Reactive Force Injection Planner-Guided Recursive Exploration for Diffusion Language Model Decoding Online learning of neural state-space models HALLMARK: How to Diagnose LLM Citation Verifiers and When to Deploy Them ATLAS: A Foundation Neural Sampler for Amorphous Materials Diffusion ReRoll: Revisable Denoising for Robotic Sequential Prediction PhysCoRe: Physics-Corrected Residual World Models for Material-Aware Deformable Dynamics Activation Steering with Jungian Cognitive Functions DBA-Bench: A Production-Fidelity Benchmark for LLM-Based Database Operations Agents Photonic reservoir computing with complex networks Approximate reservoir computing with a semiconductor laser for reducing energy consumption Agent-UCT: Upper Confidence Bounds Applied to Trees for Cost-Aware Agentic Workflow Optimization Simplex Demixing: Disentangling Multiple Light-Flavor Jets at Colliders When Unlearning Fails: Reliable Data Deletion under Post-Training in Agent Networks QASP: Query-Adaptive Robust Vector Search Policy Fast Trainable Multilinear Bases for Image Compression LLM-OSDA: An Optimal-Stopping Dynamic Auction for Native Advertising in Multi-Turn LLM Conversations How Benchmarks and Evaluation Protocols Shape Conclusions in Provenance-Based Intrusion Detection Surrogate Substitution Preserves PHI Detectability: A Multi-Detector Equivalence Study ContinualSkillBench: Can LLM Agents Truly Evolve Their Capabilities? SiMDex: Mining Similar Egocentric Videos for Cross-Embodiment Dexterous Manipulation OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling Measuring Concept Content in Text from LLM Activations: ESG Evidence from Concept Vectors and Linear Probes DYSANOS Generative Dynamic Smooth Arbitrage-free Non-parametric Option Surfaces GALA: Generation-Aware Cross-Modal Alignment for Text-to-Time-Series Synthesis Lambda-Hold Control: Human-Like Movement Emerges from a Minimal Task Reward in Predictive Musculoskeletal Simulation An Offline Smartphone Check for Drug Interactions and Past Reactions in Handwritten Prescriptions: A Technical Feasibility Study in Rural Bangladeshi Outpatient Care Generation of High-Level Concepts in 3D Scene Graphs via Autoregressive Diffusion Dense Weak Hiding: Closing Complexity Gaps in Nonconvex and PL Finite-Sum Optimization under Individual Smoothness FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study Same Request, Different Answer: Quantization Amplifies Cache-Induced Divergence in LLM Serving LayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies TontaubeV1: Streaming Text-to-Speech with Hierarchical Codec Modeling and Bounded Context Gaussian Approximation in Wasserstein-p: Markovian Martingale Differences and Stochastic Approximation Why Learning Rediscovers the Closed-Form Diagonal Regularizer Eigenvalue-Decomposition Cost Denoising for Predict-then-Optimize Monitoring and Discovering Reward Hacking with Internal Representations during LLM Evaluations Rewarding Efficient Reasoning Improves Abstention on Underspecified Tasks in Reasoning Models Single-Loop Stochastic Projected Damped Extragradient Methods for Nonconvex--(Strongly) Concave Minimax Optimization Forecasting Brain Tracer Distribution from Pre-Contrast MRI: A Comparison of Direct Regression and Flow Matching Spatial-Interactor: Learning Spatial Reasoning through Interaction with the Observable Physical World Latent Telepathy: Multi-Robot Communication with Self-Supervised Perceptual Latents Distill What You Trust: Reliability-Aware Multi-Teacher On-Policy Distillation OSCAR: Order-aware Sensitivity Correction for AI Rankings Learning tactile perception from high-bandwidth single-point sensing PICPIs: Prediction-Interval-Conditional Prediction Intervals NeuroRule: Making Black-Box Neural Networks Explainable through Rule-set Evolution Prediction Limits and Koopman Closure of Geometry-Induced Soft State Abstractions Multi-Marginal Inverse Optimal Transport for Contrastive Learning Via Explicit Anchor-Positive-Negative Coupling Jev in Medicine: A Benchmark Evaluation On the Relaxation of Conditional Independence Assumption for Image Segmentation A strategic roadmap for an atomistic machine-learning ecosystem LLM Persona Unlearning CAST: Cost-Aware Speculative Trees from One-Pass Block Drafters Heteroskedastic Canonical Polyadic Tensor Decomposition Code Owns the Simulation, Jev Owns the Evaluation Mixture-of-Experts for Cryptocurrency Order Execution: Training Stability, Tail Risk, and Failure Modes Amortized Structured Stochastic Variational Inference for Gaussian Process Latent Variable Models Targeted Active Learning for Preference-Based Treatment Effects on Multivariate Outcomes Distribution Matching Evolutionary Algorithms for Rare Event Sampling SkillScriptBench: Benchmarking Self-Evolution of Executable Agent Skill Packages Beyond Markdown PyINE: A Framework for Scalable Elicitation and Oversight via Code Execution Retrieval-Based In-Context Learning: A Domain Adaptation Framework Online AutoML: Evaluating Poisoning Attacks on Cost-Utility Adversarial Training Defence Strategy for IoT Networks Evolving in Thought Space: Training a Small Model at Test Time Unlocks Better Discoveries Recurrent Looped Transformer SanSi: A Looped Typed Decision Model for System 1.5 Thinking Stochastic Gradient Descent Ascent is Suboptimal for Nonconvex-P{\L} Min-Max Games Surviving the Router: Optimizing Skill Injections for Retrieval and Execution Secure Speculative Decoding for Large Language Models Attention via Black-Box Vector Search NavGPT-3: Harnessing Context in a Hierarchical Navigation Runtime AI4Fire: Evaluating Large Language Models on Wildfire Tasks Phonological Interference in Multilingual Speech Models Smoothing the Top-k Exposure Boundary for Sparse Mixture-of-Experts Differentiable Systematic Resampling for Variational Sequential Monte Carlo ISBO: Scalable Spatio-Temporal Bayesian Optimization with Log Gaussian Cox Process Models via the INLA-SPDE Approach Density Ratio Estimation with Stein Displacement Fields Neuromorphic Satellite Intelligence: A Formal Framework for Event-Driven Architectures, Spike-Based Algorithms, and Quantitative Energy-Accuracy Trade-offs Golden Anchor for Video Generation Hide and Seek: HIDE Concepts to SEEK explanations for black box modelsArxiv cs.AI
Artificiality's First Exam: An LLM-Referenced C-test for Supraintelligence The Silent Failures in Agentic Data Science ClawLoop: Self-Improving Agents via Harness-Native Training Loop Correction Training for Diffusion Models Long-Horizon-Terminal-Bench 2.0: Automating Diverse Task Construction and Measuring Sustained Agent Progress VETNET: Assembling Benchmark Datasets for AI-Driven Veterinary Innovation Unconstrained CTI-REALM with Open-Weights Visualizing the World Model in an Agent's Value Function Cross-Modal Latent Influence: Patch-Level Training Sample Attribution for Vision-Language Models Should SLMs be in the Driver's Seat? A Study of Local Models as Interpreters in Cloud-Written Agent Programs Harness^2: Recursive Agent Harnessing for an Open World Echo: Error-Compensated 4-Bit Tensor-Parallel Communication for LLM Training and Inference Controllable Diverse Sampling through Pullback Directions ConicFlow: constrained Inference-time optimal control for flow matching models Which Metadata Matters for LLM Tool Selection in MCP? Evidence from Controlled Factor-Level Interventions Actionable Meta-Requirements for AI Robustness Auditing When Pleasing the User Compromises Care: AI Sycophancy in Caregiver-Mediated Healthcare ACED-Bench: Evaluating How LLM Agents Acquire and Act on Causal Evidence ANASSA: From High-Level Framework to Low-Level Architecture for Spatial Agentic AI Measuring the Inference Energy Efficiency of Open-Weight LLMs across Benchmarks, Reasoning Modes, and Hardware SAT-RL: Training Language Models for Logical Reasoning with Symbolic Solvers Frustratingly Easy Agentic RAG via Portable Skills: A Case Study in Customer Support AlignPoison: Conditional Targeted Poisoning of Generative Recommenders via Decoding-Aligned Prefixes HiPPT: Physiology-Grounded Wearable PPG Representation Learning via Multi-Scope Text Alignment Reels-RSI: Program-Level Self-Improvement for Code-Rendered Explainer Videos MontageFlow: Physically Valid High Fidelity EEG Generation ScienceBuddy-PV: A Verifier-Governed Recursive Improvement Protocol for Panvascular Intervention Research Energy Ring: Stabilizing Feature Energy for Reliable Test-Time Discovery FDE-Bench: Evaluating End-to-End Delivery from Underspecified Real-World Business Requests Are Multimodal Benchmarks Really Useful? Item-Level Multimodal Benchmark Diagnosis via Structure-Response Co-Calibration PsyMemBehav: Psychology-Informed and Memory-Grounded Two-Level Identity-to-Action Reasoning for Social-Media Behavior Simulation Learning after Execution with Action-Specific Credit CB-Agent: Concept-Based In-Context Learning for Sequential Action Selection Iterate on an LLM, Serve on an SLM Decoupling Knowledge Forgetting and Refusal Learning in MLLM Unlearning From Existing Methods to New Research Ideas: Two Perspectives on Recursive Self-Improvement PEARL: Process-Experience Aware Reinforcement Learning for Multi-Turn Agents AegisVox: Factorized Privacy and Clinical Preservation for Long-Form Speech Shaping Latent Mixture-of-Experts: From Expert Geometry to Layerwise Capacity Allocation RASSG: Repair-Aware Semantic Survival Gating for Streaming Tool Execution A Hybrid Kinematic GCN and Elastic Transformer for Efficient Indian Sign Language Recognition AcrossVAM2.0: Conflict-Aware Point Supervision for Parameter-Efficient Video Diffusion Adaptation Joint Discrete and SE(3) Diffusion for Protein Interface Design DSABench: Benchmarking Source Discovery, Coordination, and Execution for Multi-Database Agents How to Build a Benchmark That Actually Measures Taste Relational Semantic Grounding for Test-Time Discovery MHWA: Multi-timescale Hierarchical World-Action Model Think in Strategies, Act with Tools: Traceable Agentic Optimization for Combinatorial Problems SAGE: Pushing 2-Bit Vector-Quantized LLMs toward Real-World Usability Equal-information evaluation of credit assignment in modular financial reinforcement learning GateSight: Recurrent Memory Anticipates Attention Memory for Query-Agnostic KV Eviction in Hybrid LLMs CUSE: Fine-Grained Multimodal Unlearning with Counterfactual Guidance and On-Policy Self-Distillation How Should a Camera-First AI Agent Work? ProgAgent: Learning Tool Orchestration through Programmatic Training LYNX: Analytical Program Synthesis via Grounding and Closed-Loop Refinement Counterfactual Regret for Reflective Agents with Lean-Verified Guarantees GREAT-ESDD: Graph Edge Attention Network for Effectively Steered Delivery Decisions CESNET-TimeSeries26: A Multi-Year Network Traffic Time Series Dataset for Annual Seasonality, Concept Drift, and Long-Term Anomaly Detection ASIWorld: Benchmarking Autonomous Agents in a Persistent Survival Sandbox A Reference Architecture for Integrating Agentic AI into Enterprise Software: Responsibilities, Interactions, and Variability EvoCowork: A Benchmark for Real-World Office Tasks Pre-Registered Genesis Accounting for Recursive Self-Improvement: First Audited Operator-Genesis Events in a Physics-Discovery Runtime PEAM: On-device Communication Agent for Personalized, Efficient and Autonomous Mobile Network Configuration WeatherBridge: Forecast-Aware Multi-Source Input Adaptation for Pretrained Weather Forecasting Models Beyond Outcome Feedback: Trajectory-Quality-Guided Experience-based Learning MARL-BattleGrounds: A Novel JAX-native Benchmark for Heterogeneous and Competitive Multi-agent RL Probable but Not Valid: A Psychometric Audit of Decision Models as Synthetic Survey Respondents Bridging Risk Approximation Gaps in Model Predictive Task Sampling via In-Context Modeling WorkBorne: Discovering Agentic Tasks from Real-World Artifact Transitions SkillForgeBench: Evaluating Agent Reliability Grounded in Agent Skill Specifications Predicting how model propensities generalize out of distribution VC-OPD: Visual Counterfactual On-Policy Distillation for Grounded Vision-Language Reasoning MCPDisCo: Seesaw-Mitigated Tuning for MCP-Native Agents What Survives When Activation Steering Is Used as Memory AlphaRLM: Aligning Language Models for Literature-Grounded Symbolic Factor Discovery SkillHorizon: Constructing Long-Horizon Agent Tasks through Skill Composition FleetPilot: Fine-Grained Steering Empowers Real-World LLM Personalization Single-Sample Decoding of a Two-Layer Sound-Word Canvas Model for Thai Klon Pad Certify the Decision, Not Every Score: Exact Top-k Selection from Few Evaluations Can You Trust Your Preference Models? Stackelberg Games for Alignment On the Complexity Gap Between POMDPs and Multi-Environment POMDPs Belief Embedding Tree Search Trace Evolution Bench: Measuring Whether Agents Improve from Their Own Environment Traces Exposing AI Inference as a Telco Network API over the 5G User Plane Knowledge transfer between simple discrete worlds Self-Evolving Visual Agent via Margin Reward Structural Chain-of-Thought: Reasoning with Executable Computational Graphs GesBench: When and Where Do Multimodal Language Models Perceive Social Meaning? Trust Hinders Bidirectional Human-AI Alignment Single-step Retrosynthesis via Reinforcement Learning from Forward Feedback Harmony Harness: Multi-Objective Self-Evolution of Agent Harnesses Can agents whose sole duty is to keep humans alive be hijacked to kill? Delayed multi-turn derived-action trap attacks in simulated high-stakes environments Continuous Risk-Based Scheduling for Food Safety Inspection: Integrating Historical Decay with Event-Driven Consumer Review Signals SocraticRepair: Planning-Guided Socratic Tutoring for Program Debugging and Misconception Repair Running Fewer Loops Removes Refusal Behaviour in Recurrent-Depth Language Models HarnessNet: Feedback-driven Hierarchical Joint Harness Evolution for Multi-agent Systems Understanding Unified VLMs: From Attention Probing to Guidance Tuning for Multimodal Generation Words to World: Benchmarking LLMs in Interactive Physical Environments Using Evidence-Centered Design to Guide Prompt Engineering in Measurement: An Illustration with Automated Essay Scoring MoMaTune: Model, Match, Then Tune Language Models for Numerical Records ClinEdge: An Expert-Graded Benchmark of Real Patient Edge Cases Where Frontier Multimodal Models Fail RECAP: Calibrating Low-Bit Reasoning Models on the History They Read OntoAR-HAR: Ontology-Guided Agentic RAG with Personalized Memory for Human Activity Recognition CHEAR: Confusion-Hierarchy Evidence-Aware Reasoning for Cost-Efficient Human Activity Recognition SuperAI: Merging Capabilities Across Heterogeneous Foundation Models MultiFlow: Vision-Driven Multimodal fMRI Encoding via Stimulus-Informed Source Flow Matching TRACE: Temporal Risk Assessment and Concept Editing for Safer Language Generation Fewer Bits, More Tries: Recovering Capability Under Memory Constraints Analyzing the Dynamics of WSBM-based Echo State Networks using InputDSA A Decade of PhotoMappers: A Longitudinal Study of Crowdsourced Disaster Photos Geolocalization with Vision-Language Models and Geospatial Reasoning State Representation Shapes Long-Horizon Agent Learning and Transfer: An Empirical Study CoverSynth: Coverage-Guided Generation of Retrieval Evaluation Sets SpecFit: Not All Draft Tokens Cost the Same in Offloaded MoE Inference Hidden in Plain Sight: Advancing Harmful Content Understanding via Perception-Aware Adversarial Self-Play Scalable Robust MCTS with Anytime Deterministic Optimality Guarantees MemeLogos: Knowledge-Driven Retrieval-Augmented Reasoning for Harmful Meme Detection SkillFusion: Towards Reliable Multi-Skill Composition for LLM Agents When Skills Remain But Access Fails: Factorized Skill Memory for Continual Skill Internalization Large Decision Models: Repurposing Large Language Models as Single-Pass Decision Makers Data Portability Revisited: Toward the Human-Centric, AI-Driven Data Ecosystems of Tomorrow Agent-Canary-Mas: End-to-End Evaluation of Protocol Risk in Long-Horizon Multi-Agent Systems Self-Representation Alignment in Diffusion Models for Video Background Music Generation Inverse Garment Design with Visual Agents CondMSP: Condition-Informed and Resource-Aware Inorganic Materials Synthesis Planning From Stages to States: Unified Iterative Reasoning for MLLMs Big-Big-SycoBench: A Benchmark to Detect Sycophancy Through Model Responses to Valid vs. Invalid Arguments Recall What Is Missing: Composing Evidence from Long-Term Agent Memory Knowledge Interaction in Hypernetwork-based Continual Learning: Conflict and Composition Radioactive Feedback: Tracing Models Trained by Label-Only LLM Supervision FARL: A Fully Automated Pipeline of RL Interface and Solver Design SpecForge: Recursive Self-Improvement for Coding Agents via Behavioral Specifications Suggested Is Not Superseded: A Pre-Registered Evaluation of a System-One Model as a Memory-Retirement Gate MedHarnessBench: A Unified Benchmark for Healthcare Agent Evaluation History Replays Itself: Unleashing Long-Context Capability in Linear Attention Visible but Not Avoided: State-Dependent Re-Proposal of Rejected Candidates in Catalog-Based LLM Optimization Loops Google Earth AI Geospatial Reasoning Agent: Capabilities and a Systematic Evaluation Agent Sociodrama: Social-Dynamics-Guided Persona Recasting for LLM Agent Teams Passing Tests, Missing Semantics: Evidence of Interpretive Lock-In in Plan-Based DataFrame Code Generation Attention Sinks in VLMs Are Borrowed, Not Seen Engram Injection: A Study of Temporal Validity in Parametric Language-Model Memory RetryBench: Separating Retry Permission from Recovery Outcomes in GPT Tool Use Comparative Study of Canvas- and Coordinate-Based Geometry-Conditioned Neural Networks for Real-Time Prediction of Indoor Environments with Varying Room Dimensions LURE: a Phase-Labelled Synthetic Corpus of Online-Grooming Exchanges Multi-Horizon Explainable Queue Forecasting and Resource-Aware Decision Support for Intelligent Border Control Using LightGBM The Anatomy of a Blind Spot: What an LLM Judge Must Be Shown, and How Much Vision: "What Don't I Know About User's Preferences?" How Uncertainty Estimation Improves Proactive Assistant Alignment ADAPT: Audio-Depth Action Planning with Transition-Aware Rewards for Lights-Out Industrial Navigation Small but Mighty: Test Suites as Improvement Signals for Self-Evolving Agents PopGen: Generating Semantically Diverse Populations for Zero-Shot Coordination Revocation Is Not Complete at Receipt: An Executable Outcome Contract for Distributed Agent-Tool Gateways Handoff Curves: Initial Selection, Later Handoff, and Supervision Targets in Multi-turn LLM Routing Large language model-generated patterns for epidemiological modeling: a multi-benchmark evaluation framework Computational Reflective Equilibrium for Agentic AI: A Rawlsian Alignment Scaffold for Governance Cross-Protocol Personality Assessment with LLMs: Aligning Behavioral Evidence with Human Ratings Understanding and Reducing Misalignment in Persuasion Optimization Beyond Single-Pathogen Forecasts: Predicting Shared Respiratory Hospital Burden from Influenza, COVID-19, and RSV Heterogeneous Agentic Coevolution The Sharp Directions Are Against You: Curvature Analysis of Activation Steering GUIDE: Computationally Augmented Consensus for Trustworthy Clinical Practice Guidelines Constructed regional photovoltaic generation fields improve ultra-short-term distributed solar forecasting Beyond Perfect Teammates: Multi-Agent Collaboration with Unreliable Colleagues Imitation Holds a Key to Evolution: Localized Repair and Verified Skill Acquisition for Adaptive Agents Large Language Model Assisted Transportation Planning through a Differentiable User Equilibrium Layer Phantom Merge: When Your Large Language Model Agents Pick One but Tell You About Another Pollard: Governed Semantic Execution Trees for Framework-Independent AI Agent Control and Replay Uncovering Robustness Weaknesses in LLM Agents via Persona Evolution with Task-Integrity Constraints Interactive 4D Volumetric Liquid Forecasting under Moving-Solid Interaction ProCARE: Real-World Study Automation via Profile-Grounded Evidence Contracts Label-Centric Knowledge Retrieval for Zero-Shot Text Classification Correct Choices, Failed Sequences: Choice2Seq Benchmarks Correctness Retention Across Output Interfaces OneShot: Label-Efficient Detector Weighting for Time Series Anomaly Detection Learning to GUIDE the Group: Self-Learning LLM Facilitation Across Multi-Party Tasks ScreenASR-Bench: A Tiered Benchmark for Speech Recognition with Visual Context Hardware-Friendly Token-Group Activation Quantization for Low-Bit Mamba Super-Resolution agent-risk: Risk Assessment for Changes to AI Agents REVEAL: Reverse Engineering Agentic Latents from Frontier-Model Traces Memory-Efficient Integer-Only Training of Deep Neural Networks FON: A Draft-Revise Dual-Organ Language Model without Sequence-Level Quadratic Attention Narrative Paradoxes in LLM Inference: Shaping Reasoning Trajectories toward Misalignment ReTAC: Residual Test-Time Agentic Computation for Video Spatial Reasoning HyWe: Unifying Search and Operation for Real-World Hybrid Web Tasks When a Conceptor Complement Becomes Gain: Operator Geometry and Behavioral Attribution in Language Models TRAP: Tool-result Replay Attack for Probing Misbinding in LLM Agents Efficient Multi-Agent Reasoning via Confidence-Guided Adaptive Debate ChronoScribe: Semantic-Numerical Specialization for Instruction-Driven Time Series Forecasting World Models Need a Physical Registry: Learning Internal Predictive States for Physically Plausible World Models RetroPlanner: Multi-Route Expansion and Multi-Objective Reasoning for LLM-Based Retrosynthesis Planning Recursive Environment Scaling for General Long-Horizon Agents EvoWeb: A Benchmark for Coding Agents on Evolving Web Applications SLS-Bench: A Benchmark for Incident Log Summarization with Synthetic Observability Data Chain Dimension Scaling: Communication-Efficient Loop-Style Scaling for Industrial Short-Video Ranking AuthGateBench: Benchmarking LLMs as Authorization Gate RAP-WAM: Learning World-Action Models through Predictive Rehearsal and Action Perturbations XAI-Guided Fourier Domain Generalisation for Pure-Simulation Sim-to-Real Deep Reinforcement Learning PXRD-Bench: How Close Are We to Determining Crystal Structures from Powder Diffraction? Boosting the Learning for Ranking Patterns EAU: Environment-Agent-User Co-evolution for Training User-Centric Agents Does the Explanation Drift Before the Guarantee? Label-Free Early Warning on Evolving Graphs Overtaught, Underlearned: Learner-Centered Distillation from Multi-Agent Discussion Making Language the Low-Rate Code of Vision: Successive Refinement from Words to Pixels AI Discovery in Combinatorics: From Problems to Solutions and Back to Bigger Problems G$^2$WAM: World Action Models for Efficient and Geometry Grounded Image-Goal Navigation Double-Rollout Reinforcement Learning with Sampling-based Reward Estimation When 1+1 Backfires: Rethinking Relevance-Diversity Balancing for Sample-Aware Visual Token Reduction Weak Segmentation-Guided GAN for~Realistic Color Edition LATCH: LLM-Assisted Timing Closure Harness for Post-Route FPGA Optimisation Does a Hosted Decision Model Respect Irrelevant Alternatives? A Pre-Registered Test of Option-Set Dependence in Jev Structural Baselines Matter for Agent Failure Detection and Attribution Trace-to-Architecture: Capability Bottleneck Diagnosis for Harness Revision Queue-Aware Token Communications: Bridging AI Representation and Wireless Service Separating Prompt Harmfulness from Interaction Safety via Partial Generation Geospatial Vector Geometry as a Native Spatial Modality for Vision-Language Models Game-Creation-Agents: Autonomous Game Production LIBERO-Industry: Benchmarking Robotic Manipulation under Industrial Process Constraints Same Operation, Different Permission: Evaluating Whether Guardrails Honor Authorization CLIVO: Differentiable Cluster-Based Instruction Mixing with Learned Validation Objectives Acceptable Misalignment Transparency as Answerability: Role-Dependent Information Flow Modeling Observe, Share, or Predict? Disentangling Partner Information in Embodied Multi-Agent Collaboration Neural Bayesian Networks for Modular and Scalable Decision-Making Under Uncertainty Audit tools of the trade: Automated Auditor Elicitation Can Be Sensitive to the Context the Auditor Is Given Transparent Information Flow Modeling for Role-Aware AI Act Assessment WeFair: Fidelity-Aware Alignment from Human Feedback for Personalized Query Rewriting in Short-Video Search MADDIE: Multi-Agent Drug Discovery Engine PRAISE: A Reproducible Workflow for Non-Programmer Scientists to Implement Published AI Models Glasseek: A Transparent Recipe for Training and Trustworthy Evaluation of DeepSearch Agents Understanding Personalization Gains in Whisper Benchmarking Quantum Kernel SVMs for Credit Card Fraud Detection: Performance Realities Under NISQ Constraints Neos: Learning to Interleave Search and Visual Reasoning VL-DocIR: A Benchmark for Vision-Based Long Document Information Retrieval PatientWM: Towards Generalizable Clinical World Models via Unified Patient States SFT Leaves a Reproducible Signature in Activation Geometry: Calibrating Post-Training Interpretability Against Run-to-Run Noise When LLM Agents See a Conflict but Still Proceed: Cross-Domain Dependencies in Network Slicing EvoQuantLab: Training-Free Dual-Loop Evolution for Auditable Quantitative Research The Format is the Filter: Scoring Format Fixes What an LLM Judge Can Express Learning Perceptual Geometry of Natural Odor Mixtures from LLM-Derived Descriptors ChemExplain: A Multimodal Benchmark for Explanatory Chemical Reasoning Size Generalization for Diffusion Routing Solvers Releasing the Inner Jev: A Simple Recipe for Open Decision Models AutoMARS: Automatic and Scalable Multi-Agent Large Language Model Framework for Supply Chain Risk Assessment IsoVRBench: Video Reward Modeling Without Human Feedback Does a Governed Confidence Score Know When a Text-to-SQL Answer Is Right? An Exploratory Study on BIRD and a Pre-registered Confirmation on Spider RL Post-Training Diffusion Language Models Along Their Own Generation Paths Reasoning for Propaganda Detection via Label-Guided CoT Optimisation PhysCodeGym: Benchmarking Coding Agents for Physically Verifiable 4D Reconstruction Towards Resilience: Slice-Driven Orchestration of Mobile IoMT in 6G-Edge-Continuum The Agent Knew: Internal States Forecast Unauthorized Actions and Stop Them, and the Lies That Follow Reliable Text-to-SQL in Resource-Constrained Settings with Small LLMs via Iterative Retry Workflows Beyond Successful Play: Diagnosing Opponent Modeling in Large Language Models Do Theorem Provers Need Theorem-Proving Agents? mini-Lean-agent: A Coding-Agent Baseline for Lean Budgeted KV-Cache Repair for Evolving Contexts When Goals Leak Across Relationships: How Cached Goal Representations Shape Cross-Client Decisions What Makes a Latent Space Shared? Direct and Recoverable Compatibility in Motion VAEs Get In, Decide, Prove: A Merchant-Side Readiness Benchmark for Agentic Commerce EPOCH: Coverage-Aware Evolution with Experiential Preference Optimization for LLM-based Automated Heuristic Design Learning to Play: Reinforcement Learning and Games Generalizable field of view extension for diffusion MRI via conditional flow matching Agency as a New Organizing Abstraction for Computer Science SchemaWeaver: Accelerating On-Device Mobile Agentic AI via Schema-Guided Parallel LLM Decoding Large Language Models Extend Known Research But Do Not Create New Research Directions An FPGA-Based Spiking Neural Network for Spatiotemporal Pattern Learning and Classification REA: From Correct LLM Judgments to Safe Decision Delivery TacitVLA: Reasoning Vision-Language-Action Models Without Reasoning Latency Reference Wording Shapes Retrieval of Robot Task Instructions RAN-JEPA: An Action-Conditioned World Model for Energy-efficient Mobile Network Control Verifier-Harness Co-Evolution for Training-Free Self-Improvement on Open-Ended Tasks OpenDepth: Repurposing Image Editing Priors for Robust Open-World Monocular Depth Estimation MAS-Gate: Unlocking Multi-Agent System Lifecycle via Node-Centric Quantification Executable Prefix Values for Locating Agent Failures Beyond Bias Scores: Answerability Confounds in Activation Steering with Gradient-Constrained Direction Design (GCD) When Should Enterprise Policy Decisions Be Learned, and When Should They Be Reasoned? Can Agents Truly Forget? Explore Machine Unlearning for LLM Agents RoTA-Bench: Evaluating 3D Spatial Reasoning through Interactive Projection Alignment Cowork-Gym: Synthesizing Interactive Work Environments at Scale Encounter-Driven City-Scale Human Mobility Generation with Large Language Models Stable Token-level Scheduling for Serverless LLM Inference MedEvo: Medical Reasoning Evolution through Knowledge Navigation Understanding Gene Expression-to-Image Learning: Spatial Structure and Information Fidelity A Node Embedding Framework for Model-Centric Conformance Checking in Process Mining Adaptive-Group Process Rewards for GUI Agents ECG-RSI: Recursive Self-Improvement through Targeted Electrocardiogram Waveform Evolution Keep Your Receipts: Trustworthy Cleanup of Agent-Built Knowledge Graphs Upstream Influence, Downstream Re-Anchoring in LLM Agent Chains Evidence-First Agentic Verification Safety for Whom? Benchmarking Understanding Beyond Refusal in Egocentric Multimodal Assistants DuplexAct: How Interactive Are Frontier Full-Duplex Spoken Language Models? Coupled Harness--Model Evolution for Scientific Equation Discovery Instructions Are Evidence, Not Objectives: Measuring Outcome Alignment of Agents Autonomous 3D Visual-Thermal Inspection for Utility-Scale Solar Farms Memory Echo in Single-Agent Long-Term Memory: Lifecycle Evaluation and Provenance-Guided Mitigation Agentic4PDM: Host-Governed Evidence Admissibility for Industrial Fault Diagnosis Empowering Edge Agents: A Systematic Analysis of Edge-Cloud Collaboration in LLM Agent Execution Benchmarking and Training Reward Models for Cross-Source Evidence Grounding in Search Agents Learning Adaptive Deliberation Control for Reliable Recognition with Multi-Agent Language Models Socratic Skill Learning: Interleaving Teaching and Practice for Transferable Agent Skills ECMR: Evidence-Aware Deliberation Control for Multi-Agent LLM Reasoning Training LLMs for Multi-Agent Collaboration with Verifiable Information Rewards PaceReasoner: Label-Free Learning to Answer Briefly from Long Reasoning Learning How to Remember: Memory Modality Selection for GUI Agents Seeing Depth but Choosing Cues in Vision-Language Models SHELDON: Reasoning through Dual Search over Hypothesis and Observation Spaces Beyond Black Boxes: Visual Grounding for Text Embeddings Can Agents Forget When Asked? A Benchmark for Memory Unlearning in LLM Agents WorkRover: Scaling Long-Horizon Cowork Agent Training Via Recursive Environment Evolution AReaL-RSI: Adaptive Scaling and Coordination of Recursive Self-Improvement ResearchFlow-Eval: Tracing the Execution Gap in End-to-End Multi-Claim Autoresearch One-Sided Verification Under Limited Expert Review AM-Bench: Understanding Agents under Task Underspecification across Models and Harnesses LifeSearch: Benchmarking Deep Research Agents for Real-World Life and Productivity CompanionSafe: From Multi-turn Safety Evaluation to Guardrails for AI Companions Chain of Thought Monitoring Can Fail Even When CoT Is Necessary Fresh at Decision, Stale at Action: Routing New Information to LLM Decisions Already Made Monitoring latent reasoning in looped language models Mitigating Cross-Modal Hallucinations by Correcting Modality Misrouting in Omnimodal LLMs RadixFlow: Filling Execution Bubbles in Prefix-Cached Hybrid LLM Serving When and How Order-Flow Interventions Work After Dealers Adapt Back to the Future: Reverse-Consequence Modeling for Long-Horizon Particle Dynamics Neuro-Symbolic Graph Transformers for Hierarchical Intention Recognition from Multimodal Human Activity Sequences QORH: Learning Query-Specific Ordered Rule Hypergraphs for Inductive Knowledge Graph Link Prediction Consider, Then Choose: Order-Invariant Decisions in System One Models Beyond Answer Sharing: TrueMAD for Targeted Peer Engagement in Multi-Agent Debate Output Discipline Sets the Floor: A Falsification-Guided, Model-Agnostic Agent Protocol for Auditable Hypothesis-Driven Decision Making A dataset of formalised theorem statements from the Annals of Mathematics Efficient Safety Guardrails through Latent Dual-Hypothesis Reasoning with On-Demand Trace Reconstruction Complex materials engineering via Provenance Action Graphs: potential, structure and demonstration AssetForge: Asset-Augmented Task Synthesis for Business Automation Agents Choosing LLMs for Strategic Agent Interactions ABot-ER: Unified Embodied Reasoning through Agentic Data-Model Co-Evolution Delegating Earth science model calibration to knowledge-guided LLM agents The Singularity Has a Distribution: Exact Timing Laws and Detection Limits for a Stochastic Intelligence Explosion Thinker-WM: A Unified World Model with Shared Multimodal Representations for Embodied Intelligence Autonomous Science Bench: Evaluating AI Agents for Autonomous Scientific Discovery ReTerm: Recovery Training for Self-Improving Terminal Agents Judges Follow the Reference: The Derivation Gap in Verifying Tool-Call Arguments The Smart Buildings Challenge: Learning Foundation Models for Real-World Optimization at Scale Lost in Implicit Routing: How LLM Agents Fail to Load Relevant Skills at Scale Input-Conditioned Search for Efficient Test-Time Scaling of Recursive Reasoners Rethinking Quality in Large Language Model Routing: Security-Conditioned Model-and-Budget Selection Configuring RAG Systems: What Breaks, Where Originates, and How to Fix Order-Consistent Latent Geometry for Reliable Short-Horizon Planning in World Models LLM Agents for Automated Post-Training via Structured Recipe Optimization Reading Right, Acting Wrong: Diagnosing Decision Failures of System One Models in Agent Loops Compare to Correct: Pairwise-Guided Logit Adjustment for LLM Test-Time Scaling Auditing Future-Memory Use in Point-in-Time Language Agents AgentStripes: An Evidence-Graded Maturity Model for AI Agents Beyond Answer Voting: Fine-Grained Correction of LLM Reasoning through Graph Alignment across Sampled Traces Can an Agent Learn to Predict Its Own Failure? Outcome-Grounded Confidence Calibration in LLM Agents Two Routes to Interoceptive Prioritisation: Dissociating Likelihood Precision and Preference Reweighting in Active Inference To Align or Not To Align: Check Your COMPASS Before You Train Knowing the User Is Not Knowing What We Established: Grounding Awareness in Personal Agents Unlocking Token Rewards via Training-Free Reward Attribution Beyond the Verdict: Agentic Code Judging with Verifiable Feedback Jeva: System One Models from First Principles BLADE: Auditing Information Use for Failure Attribution in LLM Multi-Agent Systems Pack Light, CarryOn: Building Object-Oriented Context for Long-Horizon Agents Self-Evolving Agent Harness Read the Room Before Your Model Generates Who Improves the Robot? Toward Physical Recursive Self-Improvement MFG: Multi-turn Feedback Guided Molecular Optimization AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive Learning EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses Latent Algorithmic Structure Precedes Grokking: A Mechanistic Study of ReLU MLPs on Modular Arithmetic Selective Knowledge Control for Continual GUI Agent Learning over Application Streams Dependency, Compression, and Synergy: A Unified Information-Theoretic View of Multimodal Learning MRFlow: Mechanism-Structured Residual Flow Matching for Virtual Cell Perturbation Prediction Predict Before You Modify: Learning Improvement Dynamics for Self-Evolving Agents Posterior Flow Matching GameSmith: Scaling Zero-Sum Self-Play with Synthesised Games Splicing Hints into Reasoning Traces: Learning from Demonstrator Failures SharedSAE: a unified sparse dictionary across u-net blocks and denoising time for diffusion models Enhanced Trading Systems with Intelligent Market Analysis SemTree: Judge-Aware Semantic Decision Trees for Inspectable and Repairable Rule Decisions VH-GPO: Verified Handoff for LLM Agent Reinforcement Learning PreSO: Privileged Representation Isolation for On-Policy Self-Distillation Showing versus Doing: Teaching by Demonstration Coding LLMs Can Be Harnessed to Learn Interpretable Models from Data What Can Language Models Inherit from Solomonoff Induction? Limits, Attainable Properties, and What Served Conditionals Reveal When Log Parsing Removes What Matters: Detecting Failures in Distributed GPU Workloads Physics-Informed State Space Models for Day-Ahead Photovoltaic Power Forecasting Bias Robustness of Genetic Multi-Criteria Sorting versus Learned Rankers under Proxy Skew and Label Contamination Barycentric Anchored Weight Search for Robust Model Merging RoboHarness: A Simple Harness Outperforms VLA and World Actions Models LabInstruct: Benchmarking Situated Instructional Video Generation for Lab Procedures CoEvoke: Evoking Multi-Agent Collaboration for Trajectory Collection OPMD: On-Policy Mechanism Distillation Beyond Output Supervision Contrastive Covariance Subspaces for Activation Steering Pick the Mixture, Not the Samples: Combinatorial Data Selection for LLMs Can We Trust This Evaluation? Instance-Level Reliability of LLM-as-a-Judge Rotate the Loop: Blockwise Conformality for Looped Transformers PLDiv: Measuring Dataset Diversity and Semantic Collapse via Persistence Landscapes A Geometric Perspective on Reward Function Updates in Inverse Reinforcement Learning Reinforcement Learning from Real-Robot Interaction without High-Quality State Estimates The Future of AI-assisted Physics: Discovering, Verifying and Organizing Results via Formalization Auditing LLM Program Search for Bermudan Stopping with Primal--Dual Certificates Loose Lips: Understanding Privacy Leakage in Agentic Dialogue Is the Future Predictable? Modeling Future Predictability for Reliable Temporal Reasoning One Model, Multiple Compute Budgets: Multi-Ratio ConceptMoE for Flexible Compute Across Turns Two-Stage Multi-modal Learning for Dynamic Audio-Visual Navigation: From Physical Alignment to Scene Aggregation SAGE: Efficient Protected Vision-Language Inference on Smart Glasses Embodied Zero-Shot Task Planning via Hardware-Aware LLM-VLM Integration for Grounded Robotic Manipulation Beyond Discrimination: Evaluating Probability Calibration in Radiomics-Image Fusion for Renal Cell Carcinoma Classification Beyond Gate Weights: Decision-Level Interpretation of Radiomics-Image Feature Fusion for RCC Classification Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text Generation Do you "see" what I "see"? A Multi-panel Visual Question Answer Dataset for Large Language Model Chart Analysis Cortex: Measurement-Gated Evolution and Pruning of Coding-Agent Skills and Rules Learnable Low-Rank Polynomial Sketch for Effective Linear Attention CAPTOR: a vision-language foundation model for Chest-Abdomen-Pelvis Oncologic CT Latent World Action Model for GUI Agents Agentic Data Engineering for LLMs: System Design and a Controlled Empirical Study Akule: Fast and Scalable Multi-Robot Motion Planning via Sparse Interaction Diffusion The RNN Homunculus: Learning to Gate Long-Term Memory GeoFix: Geometry Fixing for 4D Consistent Generation RUBATO: Decoupled Clocks Allow Full-Duplex Models to Think as Fast as They Can MvFFN: Multi-view Floor plan Feed-forward Network for Unposed Wide-Baseline Panorama Layout Reconstruction EV-JEPA: Elastic V-JEPA for Any Device and Cross-Device Inference TraceSampler: Making Sampling Errors Predictable and Correctable for Accelerated Generative Sampling Natural Code Transformation Confuses Agents in Vulnerability Analysis DexFLEX: Contact-Aware Foundation Controller for Command-Guided Dexterity Deep learning from a control vantage point RealityBench: Simulated Environments to Evaluate a Vision Language Model's Ability to Document Human Physical Work Memory Without Curation: Learning Multi-Stream Latent Memory for Robot Policies Coarse-Graining Recursive Expert Computation: Continuation-Relative Interfaces and Failure Modes SceneForesee: Learning Scene Evolution for Spatiotemporal Reasoning Target-ESS Tempered Policy Optimization (TETPO): Smooth Variance Control via Bridge Importance Sampling Specification-Based Testing of Large Language Models KV4-RL: Unlocking Faster Asynchronous Rollouts for RLVR with INT4 KV Cache Quantization Jevolution: A Framework for Studying Communication and Collective Dynamics in AI Agents Co-adaptive Rule Routing and Constraining for Structured Knowledge Retrieval Diffusion-Based Auctions for Multi-Winner Banner Ads RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation Scale, Drivers, and Limits of Representational Alignment Across Large Language Models What Counts as the Same Task? Executable Contracts for Robustness Evaluation of Tool-Using Agents AphaVoice: Text-to-Speech Model for Aphasia Patient Simulation Rethinking Activation Functions: Reducing Bias Can Improve Learning Compositional Concepts Erasing: Disentangling Object-Style via Domain Manifold Unlearning Who to Trust in Multi-Robot Systems: Joint Robot and Object Hypothesis Trust Inference via Neural-Symbolic Cross-Validation GG-Nav: Goal-oriented Grounding Chain-of-Thought Elicits Reasoning in Navigation Foundation Models A Self-Defining Operator for Distributed Applications Active Neural Matter: A Finite-Window Response Framework for Physical Systems and Distributed AI Workflows LLM-based User-Product Relevance Evaluation for Dynamic Product Advertising LASER: Defeasible Certificate Search for Long-Range Protocol Dependencies Limitations on Autoregressive Token Generation via Sequential Sampling EarthAlign: Learning Language-Aligned Representations of Earth System Data Prospective Forcing: Learning to Look Ahead for Autoregressive Long Video Diffusion DexCast: Learning Real-World Dexterous Control from Human Videos AlignAudio: A Unified Dual-Alignment Framework for Noise-Robust Speech-Conditioned Generation Towards Merging-conditional Backdoor Unalignment against Large Language Models Lingdan-V2: Large language models for clinically grounded reasoning in traditional Chinese medicine Vela: User Behavior as Supervision Sparks LLM Intelligence Integrating AIRL-Based Reward Estimation into a Control Method Using Fuzzy Inference and Policy Gradient Self-improving data synthesis can scale embedding models across domains and tasks PTGPO: Prefix Tree Group Policy Optimization Last Secure Code Benchmark: Is the Code You Vibe Secure? Prior-Fitted and Frozen Scorers for Multimodal Contrastive Learning Training a Compact, Strong, and Realistic Text-to-Speech Model YOUDrive: Driving Style as a Composable Direction for End-to-End Autonomous Driving Depth-progressive 3D seismic velocity model building via 2D generative diffusion models Seamless Deployment of Machine Learning Inference at the Far Edge: An Empirical AWS IoT Greengrass Architecture for Industrial Predictive Maintenance AI-Native Product Management: A Vision Cross-Lingual TTS for Indian Languages: A Benchmark and Inference-Time Duration Estimation Strategies Getting Space Right: Agentic Rewards for Image Generation Probabilistic Multi-Source Data Selection via Learnable Categorical Priors: Variance Reduction and Guaranteed Derandomization Counterfactual Rollouts for Offline Contrastive Goal-Conditioned Reinforcement Learning Humans vs. Machines: A Comparison With AI Agents in Software Reverse Engineering Fitting Every Hint Is Not Enough: Premature Floods in Recurrent Algorithmic Reasoners Too Late to Prune: Generative AI, the Screen, and Team Creative Decisions Mixing Regularization for Average-Reward $Q$-Learning and $Q$-Planning Recurrent In-Context Learning for Tabular Foundation Models UltraBERT: Beyond the Limit of BERT Pre-Training Toward System One Clinical Intelligence: Parameter-Efficient Fine-Tuning and Counterfactual Explainability of Decision Foundation Models InCLAD: A Continual Learning Benchmark for Industrial Visual Anomaly Detection Select or Rewrite: Oracle-Guided Fine-Tuning for Generative ASR Post-Editing from N-Best Hypotheses Deep Learning-based Semantic Segmentation of Dental Radiographs: Comparative Evaluation of PSPNet, DeepLabv3, UNet, and UNet++ GAMW: Generation-Aware Mel-Domain Watermarking for TTS Traceability Have You Been Convinced? A Neuro-symbolic Argumentation Reasoning Approach to Detecting Persuasiveness in ChangeMyView Discussions VLCQ: Post-training quantization for deep neural networks using variable length coding TurnCost: Turns, Not Observations: Cache-Aware Loop Engineering for Coding Agents scHFBiMamba: a bidirectional Mamba autoencoder for cardiac disease-state classification from single-nucleus RNA-seq data ShellElastic: Scalable Elastic Pretraining with Simultaneous Maximal Updates and Hyperparameter Transfer RIECNN: Real-Time Image Enhanced CNN for Traffic Sign Recognition To Defer or Not to Defer? Online Learning with LLMs and Congested Experts UDHRBench: Benchmarking Human Rights in Large Language Models Exploring Jailbreak Vulnerability Across Depth-Based Dynamic Inference in Large Language Models PANINI-DR: Controlled Deep Research through Generative Semantic Workspaces Framework for an AI-Ready ARPES Community Database EvolvAttack: Backdooring self Evolving VLM Agents Sequent-Prover: Training Agents for Formal, Checkable SMT-based Reasoning LeHami: Symplectic Latent Dynamics for World Models GeoBridge: Evolving Transferable Decoder Topologies for Geometric Vision North or South? Diagnosing LLMs' Understanding of North Korean Language, Society, and Knowledge Protein Crystallization Segmentation and Classification Using Subordinate Color Channel in Fluorescence Microscopy Images Co-DSL: Human-LLM Co-design of Reusable Spatial Concepts for Layout Generation HGA-Quant: Heterogeneity-Aware Quantization for AutoRegressive Visual Generation Models WisdomNet: trustable machine learning toward error-free classification Accuracy and Uncertainty in Machine Deception Detection (Research White Paper) Anchor-and-Harvest Curriculum: A Fully Unmasked Non-LLM Curriculum for Craftax ZOIF: Zeroth-Order Influence Function Estimation for LLM Data Selection Using Only Forward Passes StimFlow: Synthesizing Brain Activity from Images via Stimulus-conditioned Flow Matching Across Viewpoints and Time: Trajectory-Generalizable Physical Attacks on World Models and Video Understanding Models CodeWalk: Generating Coding Benchmarks by Walking a Problem Graph Gugak-VocalSet: A Multi-Genre Studio-Quality Dataset of Korean Traditional Singing with Sigimsae Annotations Siam-ALS: An Explainable Siamese Deep Learning Framework for Early ALS Detection Using EEG and Eye-Tracking Signals Adversarial Detection for Pre-trained Classifiers via Lipschitz-Margin Analysis with Certification A Sovereign, Indic-First, Reasoning Model In-Place Indic Tokenizer Expansion and Continual Pretraining of Nemotron-3-Nano-30B-A3B E8 Lattice Key Quantization for Low-Bit KV-Cache Compression Sensitivity or Criterion? Measuring and Moving When Language Models Act Pessimistic Latent Task-aware Optimization for Robust Offline Meta-Reinforcement Learning World Modeling through Spectral Alignment BridgeCodec: Mamba Enhanced Neural Audio Codec with Schr\"odinger Bridge at Low Bitrate When Messages Go Wrong: Understanding Communication Faults in LLM-Based Multi-Agent Systems Security in LLM-Assisted Coding: A Systematic Literature Review The Imperishable Record, Forgiveness, and the Future of Criminal Justice CacheLink: Functional KV Transport for Zero-Prefill Cross-Model Context Handoff REPRO: Reflective Evolutionary Prompt Optimizer for Automated LLM Red-Teaming SARATHI: Decoupled Data-Free Probing and Adaptive Reconstruction for Structured LLM Pruning OceanFlow: Coherent Flow Matching for Probabilistic Ocean Modeling Improving the Bounds on Approximating Weighted Maximin Share for Chores ELECT: Settling Identity Before Rendering for Scalable Story Visualization Dynamic Conflict Clustering with Lightweight Learning and Strategic Repair for Distributed Constraint Satisfaction Rethinking Human Intent-to-CAD: Parametric CAD Model Generation via Cooperative Multi-Task Alignment and Spatial-Aware Reinforcement Learning TabMosaic: Unified In-Context Diffusion for Tabular Generative Tasks RespFocus: Learning Temporal Evidence for Weakly Supervised Respiratory Sound Classification bharatSetu: a 1M x 22 bridge for indic translation What DNA Foundation Models Learn Beyond Sequence Composition Uncovering the Generative Landscape of Diffusion Models: A Spectral-Guided Quality-Diversity Diffusion Framework SkillMarker: A KGW-Based Watermarking Method for Agent Skill Ownership Verification Hyperbolic Time Series Forecasting with Learnable Decomposition and Manifold Dynamics A Decade in a Day: Synthesizing Agent-Native Interfaces from Human-Oriented Software Evolution SurgiCLAW: An Interpretable Atomic-Skill Agent for Precision Robotic Micromanipulation An Explainable System for Offensive Content Detection in Nastaliq Urdu: Corpus Curation, Transformer Benchmarking, and Word-Level Attribution Adaptive Look, Flexible Thought: Learning How and How Long to Think in Multimodal Reasoning LLM Value Functions for Credit Assignment in Agentic RL Personalized LLM Recommendation with Semantic IDs: Autoregressive Beam Search vs. Multi-Token Prediction What the Model Cannot See: Covert and Provable Text Invisibility in LLMs Variance-Optimal State Resampling for Reinforcement Learning with Verifiable Rewards Learning Multimodal Sensor Fusion with JEPA Representations for Breathing Activity and Pose Recognition Make Every Expansion Count: Learning to Search Efficiently in LLM Code Repair Review Rarely Beats the Stronger Model: Separating Verification from Capability Transfer in LLM Pipelines Gen Through the Lens: Camera-Controllable Video Generation via Cross-Coordinate Conditioning Fusion RINO: Renormalization Group Distillation with No Labels Scalable Weak-to-Strong Verifier Hardening for Agent Environments DiffNash: Finding Nash Equilibrium in High-Dimensional Continuous Action Spaces with Diffusion Policies Hardware-Assisted Multi-Stage Ransomware Detection with Adaptive Machine Learning Unfair and Unsafe: Everyday Bias Triggers Emergent Misalignment Embedding Information in Policy Randomness: Distribution-Preserving Implicit Communication in MDPs AutoSec-RAN: Specification-Grounded LLM Fine-Tuning for Automated Security Analysis of O-RAN When Does Compensating Inherited Quantization Error Help? Mean-Square Guarantees for Layer-Wise Quantization and Their Limits Of Errors and Echoes: Responsibility-Aware Credit Assignment for Tool-Use Agents OT-FlowRec: Optimal Transport-Guided Multi-Bridge Flow for Multimodal Sequential Recommendation When Agents Talk, Secrets Travel: Topology-Driven Leakage and Recipient-Conditioned Sanitization in Multi-Agent LLM Systems Autoregressive Decoding as a Martingale: Characterizing the Stochastic Dynamics of LLM Generation AI Representations of Mental Health Stigma: Quantifying the Gap Between AI Estimations and Human Perceptions Across Gender Groups Using GPT-Based LLMs Adaptive Compression and Targeted Perturbation: A Unified Framework for Generalized Audio Deepfake Detection When Agent Evaluation Becomes Unreliable: An Empirical Study of Oracle Failures and Configuration-Dependent Measurement in an LLM Agent Benchmark Dream2Discern: Learning from Hard Latent Variants for Runtime Failure Prediction in Multi-Agent Systems Where Polanyi Meets Galois: Tacit Knowing as an Algebro-Deterministic Operation, Toward Re-rooting AI-Generated Science Towards a Benchmark for Fire Safety Code Interpretation in the Hong Kong AEC Industry PID-Gated Continual Prompt Adaptation Under Noisy Feedback Query Your Way Out: Benchmarking Multi-Turn Knowledge Reasoning through Generalized Puzzle Solving Omni-Modal LLMs Know More Than They Say Unravel: Recovering an Interactive 3D Scene from a Single Image WildTrace: Evaluating Training Data Detection in Realistic Large-Scale LLM Post-Training Fisher information and the geometry of memorization in neural networks EventLens: Event-Structure Reinforcement Learning for Video Understanding MP-MNCA: Morphology-Prior Masked Neighbor Cross-Attention for Efficient Spatial Domain Identification SafeDSE: Joint Exploration of Safety Architecture Patterns, Mapping, and Scheduling for Dataflow Applications With Safety Arguments (Extended Version) Look Back to Move Forward: Learning to Revisit for Agentic Compositional Image Generation AutoNovo: Agentic Program Search Discovers Transferable Nucleic Acid Design Algorithms Reflected Proximal Dynamics for Accelerated High-Accuracy Log-Concave Sampling Avoiding What Your Teacher Already Knows: Entity Familiarity for Deep-Search Distillation A Survey of Flow Matching in Reinforcement Learning SLDBench v2: Active Scaling Law Discovery BehaviorFormer: Discovering Behavioral Patterns via Clusterable Next-Token Prediction Explicitly Aligned Multi-View Breast Cancer Risk Prediction from Variable-Length Screening Histories BAT3R: Robust Online 3D Reconstruction with Bayesian Adaptive State Updates WorldRoPE: Probabilistic World-Centric Rotary Embedding for Multi-View Attention Rescuing Points Trapped Inside Incorrect Decision Regions: A target for Evaluating and Improving Forward-Forward Learning DWI Connectome-based Sex Classification in Young using Supervised Variational Autoencoder LoopQuant: Accurate and Efficient Post-Training Quantization for Looped Transformers Estimating the Causal Impact of Social Navigation Signals in Corridor Scenarios ARMED: Adaptive Retrieval-Augmented Medication Recommendation VisExMEM: Visual Evidence-Based Explainable Multimodal Evaluation Metric CryptoFlowBench: Benchmarking Multi-Hop Reasoning on Blockchains for Cryptocurrency Fund Tracing StructZO: Structured Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning PATMT2: Two-stage domain adaptation for multilingual patent translation SLEM: Spectrum-Aware Latent Expert Merging Growing and Transferring Pathways for LLM Reinforcement Learning Drafting Agents, Not Just Tokens: Speculative Recursive Self-Improvement for Agentic Systems From Caricature to Collective Artifact: How Persona Construction Drives Polarization in Generative Social Simulations pi-Net: Empirical Latent Representations for Differentiable Physics Heads in Data-Scarce Systems PatTransBench: an ipc-stratified, multi-dimensional benchmark for patent machine translation evaluation Heuristics are Not Enough: Calibrated and Corrected Caching for Video Diffusion Acceleration VLA-GAUGE: Systematically Evaluating Generalization and Robustness in Vision-Language-Action Models Towards Modality-Agnostic Seizure Classification: A Unified Deep Learning Framework for Heterogeneous EEG and Intracranial EEG Signals MixLID: Token-Level Language Identification in Mixed-Language Text Answer It or Not? Towards Prompt-Adapted Adversarial Images on Vision Language Models Integrating Feature Understandability into Feature Selection for Human-Centred Tabular Explanations AeroChem: Closed-loop Physics-Informed State Space Modeling for Long-term Chemically-Reactive Air Quality Forecasting--Extended Version REEL: Learning to Retrieve, Evaluate, and Evolve Visual Memory for Any Long-Horizon Multi-Shot Video Generation SuPER-Mamba: Surprisal Prioritization for Extended-Context Routing in Mamba Learning Incompressible 3D Flows from Sparse Samples: A Set Transformer Approach to Divergence-Free Kernel Fitting Feature-Context Consistency: Unsupervised Adversarial Detection with Drift Stability on Attributed Graphs Audit Before You Distill: A Controlled Workflow for Reasoning Transfer into Compact Medical Language Models VAttnPO: Visual Attention-Guided Policy Optimization Before Attention Sinks Form: Hidden-State Geometry Reveals and Modulates Their Formation Relational Learning as World Modeling PrivacyGuard: Source-Linked Sanitization and Locally Resolvable PII References for Cloud GUI Agents InfoVis: Unified Slide Image Generation and Editing Logit Leakage through Floating-Point Bias Addition StableJudge: A Lightweight Adversarial Defense Framework for LLM-as-a-Judge Growing to See: Efficient Pretraining of Self-Supervised Vision Transformers DTA-GT: Direction- and Topology-Aware Graph Transformer for Neural Network Representation Learning Unsupervised Data Drift Monitoring for Deployed Deepfake Speech Detectors A Scaled-Up Empirical Study of Syntactic Language Models Few-for-Many Best-Arm Identification in Multi-Objective Bandits Towards Cost-Efficient Video Dataset Construction with Large Language Models Davinci-Tool: Scaling Agentic Tool-Use Supervision with Verifiable Executable Environments Comparing GenAI to Machine Learning and Manual Review for eDiscovery KNN Implementation Details Can Dramatically Change Performance: An Example from Cover Trees UA-Bench: Benchmarking Large Audio-Language Models on Underwater Acoustic Recognition Social Priors: Descriptions of AI Users Shape How Language Models Trust and Cooperate SarcasTraps: Effect of Sarcasm on Turkish Hate Speech Detection Proactive Physical AI through Continuous Observation and Timely Intervention The Value of Being Wrong: Self-Mined Visual In-Context Learning from Errors WeGR: Unified Generative Retrieval for Industrial Search Systems in WeChat From Suboptimal to Optimal: One-Step Latent Flow Policies for Offline Reinforcement Learning AUGUstus: Autonomous Driving VLA Model with Unified Generation and Understanding TabGift: A Context-Efficient Foundation Model for Tabular Data Generation Governing Copyright Responsibly in the Era of Generative AI MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation ProbabilityBench: Model Evaluation and Calibration with Exact Ground-Truth Uncertainty CWE-bench: Refocusing Agentic Security from Exploitation to Defense SPLICE: Sparse Physics Library Identification and Compositional Expansion Gradient Routing Localizes and Removes Unintended Behaviors in RL Superintelligence and the Triple Risk of an AI Race Interactive Navigation Beyond Reachability: Benchmark and Agentic Framework What the Machine Invented: Mining New Mathematical Instruments from OpenAI's October 2026 Release of AI-Generated Mathematics AIPOCH Open-Science: An Open-Source AI Research Workbench with Reproducible .science Packages Calibrated Typed Decisions for Entity, Relation, and Event Extraction D-World: An Explicit World-Language-Action Model with Recursive Self-Improvement under Dual Control D2: High-Capability Full-Duplex Spoken Language Models from Half-Duplex Backbones Who is the 'I' in AI? Establishing Decentralized Identity and Accountability for Autonomous Agents SonicWorld: Source-Centric Latent Dynamics for Spatial Audio Reasoning Force-Modulated Dexterity: Unified Compliance for Contact-Rich Manipulation Generative Flow on Symbolic Abstractions for Embodiment Capability Discovery FreeSolo: Linear-time Sparse Attention with Zero-Shot Length Extrapolation Deleting Code Without Losing Knowledge: Regenerative Software for Python Libraries Compute-optimal data scaling for neural surrogates via multi-fidelity training From Conceptual EneMonIE to an Executable Backend: A Modular Architecture for Energy Information Extractionand Grounded Question Answering Measuring Learned Equivariance: An Information Theoretic Approach Phase-Conditioned Affordance Fields for SE(3)-Equivariant Visuomotor Policies StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions Joint Embedding with Dynamic Integration network (JEDI-net) Thinking Outside the Bots: Human Ideas in AI's Semantic Blind Spots Are Not Inferior On the Statistical Mechanics of Attention MID: Mask-Image Distributional Divergence for Evaluating Medical Image Segmentation claimcheck: Measuring and Improving Specification Faithfulness HASTE: Hierarchical and Attribute-aware Supervision for Generative Recommendation Mitigating Black-Box Score-Based Query Attacks via Gradient Confusion Cross-Market Meta-Learning for Electricity Price Forecasting Learning to Detect Shifts in Unstructured Data Streams via Monitoring-by-Betting Event-Centric Earthquake Monitoring with a Multi-Station Transformer Cross-View Time-Frequency Diffusion for Extreme-Aware Time-Series Generation Bottlenecked semantic compression by representation reconstruction Why Agentic Workflows Fail: A Taxonomy Derived from Literature and Empirical Data ClearNav: Perception-Aligned Quadrotor Flight Using Differential-Physics On Making $\mathrm{SE}(2)$-Invariant Networks Optimal Reinforcement Learning In Partially Verifiable Environments for Colon Cancer Treatment Planning World-T3: Test-Time Training as Persistent Memory for Real-Time Video World Models Know-Thy-Not: Training-Free Targeted Negation in Dual-Encoder Vision-Language Models The belief-action gap in language model agents Compositional RL: Evaluating and Training LLMs for Collaborative Reasoning Assessing the Performance of AI Models in Misinformation Detection Using Predefined Social Noise Constructs VeriPIE: Checkable Query Plans and Evidence-Guided Selection for Text-to-SQL Foundation Models for Event Prediction Across Heterogeneous Event Logs YUBI-Real2Sim: 3DGS Scene Verification for Reliable Policy Evaluation Enhanced Detective: A Dual-Stage Proactive Defense Against Internal Poisoning Attacks in Financial Fraud Detection Using Federated Learning Box-WAM: Box Trajectories as Compact State Representations for World Action Models Towards Green AI: Evaluating Energy Efficiency for Quantized LLM Inference Convex-Analytic View of Query Selection for Safety Verification of Markov Decision Processes Many Steps into One: Reasoning Contraction and the Limits of Safe Memory Reuse for LLM Agents FlashVSR+: Efficient Video Super-Resolution via Hybrid Attention and Reward-Yield Distribution Matching Benchmarking Self-Supervised 3D Medical Vision Foundation Models and Transferability Estimation Dissociating Answerability from Extraction in LLM Question Answering over Radiology Reports Chasing Label Shifters: A Change-Aware Framework for Dynamic Graph Node Classification Taming Softmax at the Limits of Muon: A Unified Approach through Hilbert Geometry Revisiting the 16x Pretraining Compute Gap between Diffusion and Autoregressive Language Models Tanawpamana: Benchmarking Vision-Language Models on Philippine Cultural Heritage Sites Morphology-aware deep learning predicts colorectal cancer survival from whole-slide images RELAY: Selective Self-Distillation with Adaptive Hand-off for Rubric-Based Reinforcement Learning 4LC: 4D Latent Cache for Efficient Conditioning in Dynamic World Modeling The Tokens Strike Back: Safety-Aware Denoising with Directional Embedding-based Revision DeltaTTG: Training Multi-Turn Agents with a Token-to-Go Progress Meter PrT-Flow: Probability-Tractable Flow Matching for Reinforcement Learning Dynamic K-Head: Difficulty-Supervised Budget Selection for Continuous Latent Reasoning LatentRiskBench: Measuring State-Dependent Risks in Enterprise Agents HelpMeOut: A Neuropsychology-Grounded Benchmark for Error-Aware Monitoring of Household Task Execution zPocket: Better Pocket Finding with Frozen Co-Folding Features LeanPRM: Lean-Grounded Process Supervision for Natural Language Proof Verification From Token Correction to Claim Admission: Training-Free Hallucination Mitigation for Large Vision-Language Models Where Small Mistakes Matter: Quantifying State Criticality for Imitation Learning TSRL: Trigger-based Supervised Reinforcement Learning for Continual Agent Training SkillScreen: High-Recall Screening of Malicious Agent Skills with Decision Models CoCA: Criterion-Aware Credit Assignment for Rubric-Based Reinforcement Learning Explore with Memory, Learn without It: In-Context Exploration and Self-Distillation for LLM Reasoning Train for Many, Update with One: Improving Multi-Sample Reasoning via Fenchel-Bregman Posterior Learning HiSTOR: Structured Treatment-outcome Representation Learning for High-Dimensional Longitudinal Data Auditing Failure Attribution: Label Predictability and Judge Behavior I3L: Iterative Interactive Imitation Learning for Whole-Body Mobile Manipulation Degrees of Freedom in Multi-Agent Coordination: Between Centralized and Decentralized Regimes Gaussian Process Bandits for AI System Optimization with Selectively Verified Feedback Efficiently Learning To Reason or Not to Reason: Root-token Policy Optimization for Adaptive Thinking Posterior-Averaged Bellman Flow Matching for Distributional Critics GIFT-Eval-CTX: A Benchmark For Contextual Forecasting Model Evaluation Learning from fracture: Teaching language models to design through physical experience Same Attack, Different Judge: A First Controlled Adversarial Comparison of Jev, LLM Judges, and Purpose-Built Safety Classifiers Checking the Checkers: A Synthesis of Verifier Noise and Robustness in RLVR QK-Edit: Revisiting Attention-based Injection in MM-DiT for Image and Video Editing Diff Diffusion: Predicting Edit Paths with Diffusion Models for Efficient Code Editing Agentic-MatriBO: Capability-Compiled Agentic Bayesian Optimization for Materials and Chemical Design A Tutorial on Quantum Amplitude Embedding with Data Re-Uploading ProtoArena: Can AI Agents Discover and Exploit Real-World Cross-Component Protocol Vulnerabilities? FASHION-RQ: Mining Hierarchical Semantic Structure for Automated Evaluation of Fashion Retrieval MMTA: Benchmarking Multimodal Temporal Analysis with Time Series, Text, and Vision TStruct: Learning Shared Temporal Structures for Long-Term Time-Series Forecasting RT-J: Large-Scale Pretraining of Relational Transformers for Context-Efficient Predictions Cross-Lingual Transfer of Evil Vectors Is Directionally Asymmetric Interaction-as-a-Judge Evaluating the Causal Faithfulness of SHAP as a Candidate Attribution Method for SAE Features Visual Dependence Does Not Imply Answerability: A Systematic Analysis of Answerability Signals in Frozen InstructBLIP DriveWLA: Unifying Future Dynamics and Scene Semantics through World-Language-Action Modeling for Autonomous Driving SpecCloak: Probing Harmful Code Generation through Engineering Specifications LinMorph: Learning to Morph Weights for Efficient Video DiT Linearization CineMem: Attention-Aligned Fine-grained Memory Retrieval for Multi-Shot Long Video Generation GLST: Global-Local Spatio-Temporal Memory Decomposition Framework for Online Chained-Goal Navigation MERIT: Multimodal Evidence Reasoning over Image Tables AI-Enhanced Hyperspectral Imaging for Intraoperative Detection of Low-Grade Glioma: A Clinical Study HaloBlock: Faster and Better Decoding for Diffusion Large Language Models FETALFusion: Resolution-Aware State-Space Modeling for Multi-Domain Fetal Head Segmentation Virtual Head Attention Better Capturing Interactions Between Products in~Retail: Revisited Negative Sampling for~Basket Choice Modeling BELT : BEhavior-Aligned Low-Rank KV Cache Compression with Learned Top-k Rank Allocation Seeing Through the Forgery Is Not Enough: Regressive Sycophancy under Fabricated Evidence in Medical Vision-Language Models Saliency-Guided Replay for Continual Learning in Deep Spiking Neural Networks Match the Canvas, Not Just the Answer: Predictability-Aware SFT for Diffusion Language Models SWEPatchTest: Evaluating Software Tests Beyond Reproduction Cost-Efficient Privacy Enforcement for Email-Generating LLM Agents under Strategic Information Requests Correcting or Continuing? What On-Policy Distillation Learns from Student Errors LatentRemedy: Efficient Remedy For Non-Prefix KV Cache Reuse in Multi-Agent Systems ChampionKV: Head-Wise Adaptive Budget Allocation for KV Cache Compression Can Machine Learning Potentials Be More Accurate Than the Methods They Are Trained On? Scaling Vision Transformers Without Training: Prune-and-Merge Token Compression High-fidelity Three-Dimensional Flow Field Reconstruction Driven by Turbulent Fluid Dynamics inLoRA-MINT: Internal Representations for Auditing Training Data in Domain-adapted LLMs From Policy Evaluation to Off-Policy Control: Provable Emergence of In-Context Q-Learning Uncertainty Evaluation: Bridging Machine Learning and Measurement Science APT: Feedback-Driven Agentic Post-Training for Text-to-Image Generation A CaLLM Judge is a Better Judge: Mitigating Bias in LLM-as-a-judge When Missingness Follows the Graph: Beyond Feature Propagation for Missing Features Certifying Almost-Sure Reachability in Unknown MDPs H-DDCM: Hadamard Codebooks for Fast Generative Image and Video Compression When Do Learned Blocks Preserve Causal Meaning? Block Identifiability and Constructive Causal Abstractions Fan Out or Relay? Ownership-Aware Routing for LLM Agents Querying Siloed Tables Claim Framing as a Driver of LLM Sycophancy LoOPSD: On-Policy Self-Distillation with Looped Teachers Lifting Finite-Sample Gaussian Approximation of Wide Neural Networks to Functional Convergence Looped Reasoning Finishes Earlier Than You Think A Few More Tokens Ahead: Reinforcing Parallelism in Diffusion LLMs How Reliable Are Large Language Models for Soil Organic Carbon Assessment? An Australian Benchmark Reset Early, Reset Often, Eliminate Models TextualRL: Textual Reinforcement Learning for Context Management A Controlled Evaluation of Curvature Inspired Scalar Feature Scaling for Domain Generalization Holding Agents Accountable with Verifiable Agent Insurance Heading Hierarchy Reconstruction for Complex and Long Documents with Level-Wise Multimodal Memory LiFUSE: Frequency-Spatial Unified Self-Supervised Pretraining for Liver Disease Analysis on Non-contrast CT FALLNEST: Dual-Domain Dataset Condensation of Imbalanced IMU Data for Wearable Fall Detection Encrypted Skills Can Become New Security Exploits If AI Agents Know How to Decipher JevGPT: Thinking Fast and Slow in Autonomous Research Which Optimizer Leaks Most? Optimizer Implicit Bias as a Training-Data Privacy Controller AffectWorld: Benchmarking Emotion-Driven Future World Prediction SimInter: Evidence-Grounded User Simulation with Interview-Based Profile Enrichment for Conversational Recommender Systems ShoeFit: A New Dataset and Dual-image-stream DiT Framework for Virtual Footwear Try-On Lightweight but Linguistically Fair? Quantisation Robustness across Bavarian, German, and English Let the Mind Conceive, Let the Hand Achieve: Following Multimodal Instructions for Long-Horizon Robotic Manipulation Urbex: Agentic Spatial Grounding for City-Scale 3D Scenes PRISM: Calibrating Black-Box Judges with Counterfactual Probes Graph-free Retrieval with Graph-Modified Embeddings Not All Drift Is a Mechanism: Tracing Prompt Adaptation in LLMs Do Factuality Methods Make LLMs More Factual? Reproducibility and Fair Comparison Resource-Efficient 3D Shape and Orientation Estimation of Road Users using Roadside RGB Camera and 3D Radar Agaram 2.5B: The First Tamil-First Language Model Trained from Scratch with Tool Calling. A Playbook for Under-Represented Languages FedGraph: Defending Federated Large Language Model Fine-Tuning Against Backdoor Attacks via Graph-Based Aggregation How Well Do LLMs Perform in Peer Review? Evidence from Finance and Accounting STAMP as a topology-aware molecular language for fragment-level learning and editing Learning Perturbation-Specific Representations through Conditional Energy Prior for Cellular Response Prediction Readout Scaling Shapes Sparse Feature Recovery MemoryVLN: From Ego-Aware Memory Representation to Cross-Context Memory Reuse in Vision-Language Navigation Task-evoked eye movements as candidate digital biomarkers of depression severity in adolescents and young adults Aligning Faithfulness for Theory-Scale Autoformalization EgoOmniWorld: Unifying Egocentric Understanding via Ego-Action-World Interactions A Global View of How LLMs Value Human Time The Geometry of Language Model Logits: Generic Structure and Learned Departures APTree: Extended Behavior Trees for Adaptive and Scalable Automated Robotic Task Planning in Construction On Symmetry for Characterizing Agent Heterogeneity in Multi-Agent Systems The Many Morals of AI: The cautionary bias of North American news narratives in global perspective When More Objectives Make Identification Easier: The Role of Preferences and Feedback GeoMER: A Joint Euclidean-Hyperbolic Geometry Framework for Multimodal Emotion Recognition ACCRUE: Continual Off-Policy Reinforcement Learning for Robot Foundation Models PhysicsSliders: Learning Physical Controls for Audio Foley Generation Rethinking Projector Training in Multimodal LLMs LLM2R: From Large Language Models to 3D Reassemblers DPOison-VL: Clean Preference Poisoning in Vision-Language Direct Preference Optimization Jev-ToM: Evaluating Theory of Mind in Typed Decision Models Nudge the Judge: Uncovering Program Decision Hijacking in Real-World Jev Applications Does self-distillation improve reasoning? Knowledge Graphs as Files: An Agent Harness Where Tool Creation and Tool Use Co-Evolve Falsification-proof non-market allocation mechanisms Geometric Calibration of Supervised Fine-Tuning DTScribe: Generating Models for Digital Twin Reporting using Local Large Language Models ST-GRU PredRNN-V2: A GRU-Based Reformulation of PredRNN-V2 for Video Prediction Tiny Recursive Message Passing AMemOps: Evaluating Memory Updates in Long Audio Streams Kwai Summary Attention V2 Technical Report Known-Voice Cloning and the Limits of Personality Transfer for Character Design SMI: Ontology-Grounded Semantic IDs for Hierarchy-Aware Medical Concept Representation From Relation-Specific Heads to Shared Interventions: Contextual Entrainment in Language Models Model-Based Online Decision Making via Generative Trajectory Planning ProAS: A Progress-Aware Advantage Shaping Framework for Multi-Turn Agentic Reinforcement Learning RadarGSOcc: Doppler-Aware 3D Semantic Occupancy Prediction Using 4D Radar Tensor with Geometric-Semantic Feature Extraction Just Respect the Semantics: Image-Token Compression via Pre-LLM Semantic Variable-Resolution Tokenization and In-LLM Relevance Pruning GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models UniW(A)M: A Unified Mixture-of-Experts Framework for World and World-Action Models Steertuning Policies from a Few Human Videos A Rate Transfer Method: Convergence Rates in Stochastic Gradient Descent via Stochastic Calculus SolBehave: Evaluating the Behavioural Correctness of LLM-Generated Smart Contracts PreciseCoder: Faithful and Generalizable Debugging Beyond Unit-Test Rewards Where Do LLM Ensemble Gains Come From? Decomposing Candidate Value, Diversity, and Aggregation Bytes to Threats: Byte-Sequence Transformer For Malware Detection SEAR: Self-Evolving Agentic Robotics Optimizing Team Behavior via Extremum-seeking Control in Multi-agent Reinforcement Learning Back-Translation Still Matters: Leveraging Monolingual Data for Low-Resource Machine Translation with LLMs RoboSimStudio: An Interactive Toolkit for Human and Agent Rapid Real2Sim of Robot Manipulation Tasks Fast Rates for Offline Q-Learning with KL Regularization LIBERO-RIG: A Hardware-Setup Robustness Benchmark for Vision-Language-Action Models Two Clocks: Why Larger Rollout Batches Learn Slower but Fail on Schedule in Reinforcement Learning with Verifiable Rewards Hybrid Reasoning Agents DoubtLess: Training-Free Contrastive Decoding for Efficient Reasoning Tev: Scaling Long-Horizon Agentic Environments with Dense Progress Rewards What Matters in Quality-Aware VLA Pretraining: A Benchmark and Empirical Study ChunkAct: Action Chunking for Agentic Robotics Decidable Reasoning About Time in Finite-Domain Situation Calculus Theories Identification of Entailment and Contradiction Relations for Natural Language Argumentation: A Neurosymbolic Approach Overcoming a Learning Bottleneck in Impartial Games: A Circuit Complexity Approach Robustness and Cybersecurity in the EU Artificial Intelligence Act Physics: Benchmarking Foundation Models on University-Level Physics Problem Solving LLM-BabyBench: Can Language Models Plan in Worlds They Can Simulate? Agent-Environment Alignment via Automated Interface Generation Decomposability-Guided Cooperative Coevolution for Large-Scale Itinerary Planning Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models AgentFly: Scaling Agentic Reinforcement Learning with Unified Resource System Toward a Universal Characterization of Sudoku Puzzle Difficulty OPTIC-ER: A Reinforcement Learning Framework for Real-Time Emergency Response and Equitable Resource Allocation in Underserved African Communities Are LLM Agents Behaviorally Coherent? A Latent Profiling Approach for Social Simulation LIFT: Likelihood-Based Intervention Faithfulness Training Compositional Machine Design as Program Synthesis with LLMs Toward Agents That Reason About Their Computation e1: Learning Adaptive Control of Reasoning Effort Multi-agent Undercover Gaming: Hallucination Removal via Counterfactual Test for Multimodal Reasoning Alignment Faking - the Train -> Deploy Asymmetry: Through a Game-Theoretic Lens with Bayesian-Stackelberg Equilibria AlignMerge - Alignment-Preserving Large Language Model Merging via Fisher-Guided Geometric Constraints ROI-Reasoning: Rational Optimization for Inference via Pre-Computation Meta-Cognition GDEPO: Group Dual-dynamic and Equal-right Advantage Policy Optimization for Sample-Efficient Reinforcement Learning Stochastic CHAOS: Why Deterministic Inference Kills, and Distributional Variability Is the Heartbeat of Artifical Cognition ReCreate: Reasoning and Creating Domain Agents Driven by Experience Risky-Bench: Evaluating Agentic Safety Risks in Real-World Life-Assist Deployments Simple Baselines are Competitive with Code Evolution The Token Games: Evaluating Language Model Reasoning with Puzzle Duels Strategy Executability in Mathematical Reasoning: Leveraging Human-Model Differences for Effective Guidance Causal Identification from Counterfactual Data: Completeness and Bounding Results Don't Ask: Understanding What Numeric Self-Reports Measure in Language Models Beyond Preset Identities: Selective Stance Accommodation and Interaction Reorganisation in Generative Agent Societies ScoringBench: A Benchmark for Evaluating Tabular Foundation Models with Proper Scoring Rules Logarithmic Scores, Power-Law Discoveries: Disentangling Measurement from Coverage in Agent-Based Evaluation Detecting Multi-Agent Collusion Through Multi-Agent Interpretability Mitigating Distribution Sharpening in Math RLVR via Distribution-Aligned Hint Synthesis and Backward Hint Annealing Agentic Architect: An Agentic AI Framework for Architecture Design Exploration and Optimization OracleProto: A Reproducible Framework for Benchmarking LLM Forecasting via Knowledge Cutoffs and Temporal Masking VibeServe: Can AI Agents Build Bespoke LLM Serving Systems? Tools as Continuous Flow for Evolving Agentic Reasoning MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs RewardHarness: Self-Evolving Agentic Post-Training Data-driven Circuit Discovery for Interpretability of Language Models Verifiable Process Rewards for Agentic Reasoning Argumentation-Based Person-Tailored Storytelling for Older Adults: A Reflective Hybrid AI Architecture Energy per Successful Goal: Goal-Level Energy Accounting for Agentic AI Systems TADDLE: A Tool-Augmented Agent for Detecting Deficient LLM-Generated Peer Reviews ConMoE: MoE Compression as Expert Selection and Functional Assignment Conformal Certification of Reasoning Trace Prefixes CoMIC: Collaborative Memory and Insights Circulation for Long-Horizon LLM Agents in Web Cloud-Edge Systems Revisiting Ripple Effects in Knowledge Editing through Pressure-Aware Joint Neighborhood Optimization Planning Takes More Than Token Prediction: Causal Plan for Benchmarking and Building Physically Grounded Embodied Reasoners Trajectory-Refined Distillation LATTEArena: An Evaluation Framework for LLM-powered Tabular Feature Engineering (Extended Version) Business World Model OSGuard: A Benchmark for Safety in Computer-Use Agents Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems From Brewing to Resolution: Tracing the Internal Lifecycle of Code Reasoning in LLMs PseudoBench: Measuring How Agentic Auto-Research Fuels Pseudoscience Decoupling Search from Reasoning: A Vendor-Agnostic Grounding Architecture for LLM Agents Reward as An Agent for Embodied World Models When Agents Commit Too Soon: Diagnosing Premature Commitment in LLM Agents Plans Fade Fast: Why Context Management Is Load-Bearing for LLM Agents Litmus: Zero-Label, Code-Driven Metric Specification for Evaluating AI Systems Beyond Trajectory Imitation: Strategy-Guided Policy Optimization for LLM Reasoning Understanding Rollout Error in Graph World Models MedEvoEval: Evaluating Continual Evolution of Doctor Agents through Simulated Clinical Episodes What a Pooled Leaderboard Does Not Say: Auditing the Scope and Provenance of Method Comparisons in Microservice RCA Benchmarks Process Advantage Signal Shaping: Advantage Construction for Process-Supervised Reinforcement Learning in LLM Reasoners When LLMs Develop Languages: Symbolic Communication for Efficient Multi-Agent Reasoning Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Agents Don't Just Agree, They Remember: Benchmarking Persistent Sycophancy in Self-Improving Personal Agents What We Talk About When We Talk About LLM Planning: Evidence for Two Distinct Planning Abilities Tracing Agentic Failure from the Flow of Success PRO-LONG: Programmatic Memory Enables Long-Horizon Reasoning Agent-UCT: Upper Confidence Bounds Applied to Trees for Cost-Aware Agentic Workflow Optimization Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe SKILL-KD: Contrastive Skill Distillation for LLM Agents MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information Bottleneck LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback Toward Fine-Grained Forgetting:Attribute Unlearning for Multimodal Large Language Models LaCache: Robust Semantic Caching for LLM Serving CockpitHAT: Dependency-Graph-Driven Hierarchical Attribution for Embodied Multi-Agent Cockpits SearchMaster: Grounded and Regulated Self-Play for Search Agents Surrogate Substitution Preserves PHI Detectability: A Multi-Detector Equivalence Study Large language models for partial differential equation workflows $\mathrm{R}{\scriptstyle\mathrm{EAL}}\mathrm{G}{\scriptstyle\mathrm{UARD}}$: Reliable, Efficient, and Auditable LLM Safeguards via Latent Reasoning ContinualSkillBench: Can LLM Agents Truly Evolve Their Capabilities? OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling SkillEval: Decomposing Agent Skill Quality into Interpretable Signals Illusion of Alignment: Detecting Hidden Disagreement in Collaborative Dialogue Reading is not Reasoning: Bridging the Agentic Policy Gap in Vision-Text Compression Emotion2Skill: Model-Internal Emotion Signals for Adaptive Skill Selection and Evolution Bench2Robust: Scenario-Controlled Recovery for Tool-Using Agents AI Model Design and Physician Liability SafeBranch: Branch-Pair Safety Alignment for Embodied Agents ReguSim: Evaluating LLM Agent Rule Grounding in Financial Compliance Agentic neural architecture search for clinical prediction from electronic health records: Cross-hospital knowledge transfer and computational efficiency ParallelWorld: Test-Time Scaling for Agentic Embodied Reasoning When "Must" Becomes "Maybe": Erosion of Workflow Constraints in LLM Agent Handoffs Parason: Revealing Subtask and Trial Parallelism in LLM Reasoning PhysElite: How Far Are LLMs from Solving Olympiad-Level Physics Problems? LoopArena: Benchmarking Models as Runtime Controllers for Loop Engineering RetailAgent: Structured Adverse Timing in Self-Conditioned Multimodal LLM Trading Agents Composition without a Host: Carrying the Spatiotemporal-Composability Guarantee of Plugin-Based Agents across Processes FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study EmoStance: Response-Side Affective-Orientation Control for Empathetic Response Generation via Emoji Weak Supervision STAIR (STructure Aware Information Retriever): A novel dataset and LLM based retriever for document structure augmentation LayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies Style Over Substance: Content-Invariant Wrappers Flip LLM Safety-Judge Verdicts Do Agents Know When They Succeed? Calibrating Agent Confidence from Internal Representations GeoSkill:Experience-Driven Hierarchical Skill Learning with Collaborative Revision forGeospatialAgents JaxAHT: A JAX-Based Library for Ad Hoc Teamwork Enabling Creative Exploration for Vibe Design Agents Not All AI Agents Are Equal: Characterizing Resource and Performance Dynamics Spatial-Interactor: Learning Spatial Reasoning through Interaction with the Observable Physical World ScholarStack: Layered Research Asset Orchestration and Cross-Task Reuse for Scientific Agents Silent Failures in Agent-Tool Interaction: An Audit of ToolUniverse Analyzing and Mitigating Cost-Inefficient Behaviors in Coding Agents Prediction Limits and Koopman Closure of Geometry-Induced Soft State Abstractions Beyond Accuracy: Counterfactual Fragility and Demographic Bias in Clinical Evaluation of LLMs Right Answer, Wrong Reason: Accuracy, Consistency, and Consensus Are Misleading Indicators of LLM Faithfulness in Clinical Decision Support Are Benchmarks Reliable? Toward Structural Diagnosis via Item-Level Capability Boundaries Jev in Medicine: A Benchmark Evaluation Test-Time Scaling via Budgeted Multi-Attribute Verification Can Generative AI Automate Data Extraction for Meta-Analysis? A Case Study on Intercropping Research Visual sensitivity is not claim retractability: persistence-aware credit assignment for multimodal reinforcement learning Rep2Skill: Representation-Guided Skill Self-Evolution for LLM Agents Beyond the Remembered World: Predictive 4D Belief for Persistent Navigation in Evolving Worlds HHR: Hierarchical Hash Retrieval for Efficient LLM Generation Code Owns the Simulation, Jev Owns the Evaluation The AI Risk Observatory: What Can We Learn from AI Disclosures in Annual Reports About Societal Resilience? LUMOS: Tracing Parametric Knowledge from Training Data to Behavioral Outputs in LLMs RIFAR: Reliability and Forgetting-Aware Replay for Continual Robot Learning Learning a Fact Is Not Learning How to Retrieve It Retrieval-Augmented Large Language Model Decision-Making for Autonomous Driving Guided by Chinese Philosophical Wisdom ROAR: Unifying Runs across Heterogeneous AI-Driven Research Systems Behavioral History Outperforms Descriptions of the Person for LLM Synthetic Personas SkillScriptBench: Benchmarking Self-Evolution of Executable Agent Skill Packages Beyond Markdown Recursive Improvement of a Differentiable Scientific Software Ecosystem Penumbra: Sample-Efficient Adversarial Search for Regulatory Obligations PyINE: A Framework for Scalable Elicitation and Oversight via Code Execution Do More Modalities Always Help? A Geometric Perspective on Missing-Modality Robustness MemTrace: State-Consistent Memory for Long-Horizon Coding Agents DREAM: Dynamic Resolution Assignment For Multimodal Multi-agent Debate How Should a Prompt Optimizer Spend a Tight Budget? BudgetAPO with Noise-Adaptive Evaluation MS-Exam-Gen: An Automatic Benchmark Construction Toolkit for Evaluating LLMs on Multiple Sclerosis-MRI Imaging Knowledge Evolving in Thought Space: Training a Small Model at Test Time Unlocks Better Discoveries GraphDecisionBench: Benchmarking System One Models on Graph Tasks A Governed Agent Architecture for Natural-Language Dashboard Generation over Enterprise DataBrain Adaptive Gait Biofeedback With Participant-Held-Out Modeling and Participant-Specific Updating in Chronic Ankle Instability Where Rules End and Judges Begin: Measuring the Judgment Boundary in Multi-Agent Systems Security zkLLMPoT: Efficient Zero Knowledge Proof of Training for Large Language Models Open-MMUnlearning: Unifying Methods and Evaluation for MLLM Unlearning Reading the Room: Foundations, Design, and Challenges of Normative Competence in LLMs How Narrative Wrapping Affects LLM Refusal: A Cross-Language Benchmark and Defense Defensive Writing in GPT Models AtomWorld-Mirror: Macro-Step World Modeling of Critical Evolution Backbones for Materials Dynamics MemTrial: Learning When to Trust Memory in LLM Portfolio Agents Safe Actions Alone Do Not Ensure Safe Agents: Identifying Unfulfilled Obligations with Guard Models PulseBound: Future-Beat State Forecasting Under an Explicit Information Boundary Reward Hacking as a Transmissible Strategy in Multi-Agent Coding Systems VETR: Execution-Grounded Self-Improving Agent for Symbolic Graphics Reasoning SWE-Critix: Post-Training Generalist Verifiers for Assessing Coding-Agent Trajectories Rollout-Time Intervention: Unlocking Agentic Reinforcement Learning Beyond Policy Limits NeuSE: Neural SE(3)-Equivariant Embedding for Long-Term Object-Based Simultaneous Localization and Mapping LLMRec: Benchmarking Large Language Models on Recommendation Task Fast Diffusion-GAN Model for Generating Symbolic Music with Emotions Optimal Transport Aggregation for Distributed Mixture-of-Experts FlowWise: Stateful Fast-Slow Model Serving for Streaming Traffic Intelligence Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework Prediction Is All MoE Needs: Expert Load Distribution Goes from Fluctuating to Stabilizing GREAT: A Graph Edge Attention Network for the Electric Vehicle Routing Problem with Asymmetric Costs Polyrating: A Cost-Effective and Bias-Aware Rating System for LLM Evaluation Scale-specific auxiliary multi-task contrastive learning for deep liver vessel segmentation Is Complex Query Answering Really Complex? ReMAP: Lossless Residual Neural Lifting for Scalable MAP Inference in Arbitrary-Order Markov Random Fields Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription Randomly Wrong Signals: Bayesian Auction Design with ML Predictions Natural Language Generation from Visual Events: State-of-the-Art and Key Open Questions VQEL: Enabling Self-Play in Emergent Language Games via Agent-Internal Vector Quantization A Generalist Hanabi Agent Toxicity Is a Property of Communicative Events: A Contextual Stress Measurement Framework for NLP Horizon Scans can be accelerated using novel information retrieval and artificial intelligence tools SAEs Can Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs FPGA-Based Neural Network Accelerators for Space Applications: A Survey A Comprehensive Review on RNA Subcellular Localization Prediction Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks - the GATTACA Framework Towards Understanding Deep Learning Model in Image Recognition via Coverage Test Generative AI for Autonomous Driving: A Review Localizing Persona Representations in LLMs Benchmarks Are Not Atomic: Composition-Aware LLM Evaluation using BenchHub Simulating Student-Tutor Interactions with LLMs for Multilingual Math Feedback GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models From Empirical Evaluation to Context-Aware Enhancement: Repairing Regression Errors with LLMs Co-Creative Learning via Metropolis-Hastings Interaction between Humans and AI RCStat: A Statistical Framework for using Relative Contextualization in Transformers Curriculum-Adapted Robust Reinforcement Learning for UAV Deconfliction in Adversarial Environments From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationship Physics-Informed Graph Neural Networks to Reconstruct Local Fields Considering Finite Strain Hyperelasticity Unequal Voices: How LLMs Construct Constrained Queer Narratives Web3 x AI Agents: Landscape, Integrations, and Foundational Challenges There are Levels to It: Red Teaming Dialogue With Hierarchical Reinforcement Learning RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory One Size Does Not Fit All: Distribution-Guided Tensor-Wise Adaptive Sparsification for Model Merging SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generation with LLMs PPGFlowECG: Latent Rectified Flow with Cross-Modal Encoding for PPG-Guided ECG Generation and Cardiovascular Disease Detection TENET: One Step Toward Test-Driven Development for Repository-Level Code Generation Cognifying Education: Mapping AI's transformative role in emotional, creative, and collaborative learning Frequency-Aware Model Parameter Explorer: A new attribution method for improving explainability Rethinking Langevin Thompson Sampling from A Stochastic Approximation Perspective Auditing a KB Elicitation of Frontier LLM Knowledge: A Multi-dimensional Analysis of GPTKB v1.5 Batch Bayesian Active Learning with Partial Batch Label Sampling A Function-Centric Perspective on Flat and Sharp Minima SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses Iterative Critique-Refine Framework for Enhancing LLM Personalization Training LLMs Beyond Next Token Prediction - Filling the Mutual Information Gap Energy-Efficient Deep Learning Without Backpropagation: A Rigorous Hardware-Validated Benchmarking Study of Forward-Only Algorithms ProDER: A Continual Learning Approach for Fault Classification and Localization in Evolving Smart Grids Exploring the Underwater World Segmentation without Extra Training Naga: Vedic Encoding for Deep State Space Models UnSAMv2: Self-Supervised Learning Enables Segment Anything at Any Granularity Neural Evidence and Behavioural Welfare Economics: When Can Neuroeconomics Inform Policy? Explainable Visual Anomaly Detection via Concept Bottleneck Models Semantics as a Shield: Label Disguise Defense (LDD) against Prompt Injection in LLM Sentiment Classification Measuring all the noises of LLM Evals PhyAVBench: A Challenging Audio Physics-Sensitivity Benchmark for Physically Grounded Text-to-Audio-Video Generation Mechanistic Knobs in LLMs: Retrieving and Steering High-Order Semantic Features via Sparse Autoencoders HERO: Hierarchical Evidential Reasoning Optimization for Radiology Report Generation via Reason-then-Summarize ECLIPTICA -- A Framework for Switchable LLM Alignment via CITA - Contrastive Instruction-Tuned Alignment GeoMotionGPT: Geometry-Aligned Motion Understanding with Large Language Models Hiking in the Wild: A Scalable Perceptive Parkour Framework for Humanoids Representational Similarity Alignment of Figurative Language in Humans and Large Language Models Architecture Before the Formula: Training-Dependent Computational Semantics in Transformers Less is More: Label-Guided Efficient Summarization of Procedural and Instructional Videos NeuroVLA: A Brain-inspired Embodied Intelligence for Fluid and Fast Reflexive Robotics Control NeuroFilter: Activation-Based Guardrails for Privacy-Conscious LLM Agents Where is the multimodal goal post? On the Ability of Foundation Models to Recognize Highlights in Videos Retell, Reward, Repeat: Reinforcement Learning for Narrative Theory-Informed Story Retelling Uni-RS: A Spatially Faithful Unified Understanding and Generation Model for Remote Sensing PixSearch: Region-Grounded Retrieval for Knowledgeable Large Multimodal Models The pretraining domain outweighs the training objective in setting the privacy-utility trade-off of differentially private medical image analysis VERGE: Formal Refinement and Guidance Engine for Verifiable LLM Reasoning Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening OpenVTON-Bench: A Large-Scale High-Resolution Benchmark for Controllable Virtual Try-On Evaluation From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs DCD: Decomposition-based Causal Discovery from Autocorrelated and Non-Stationary Temporal Data TTT-Parkour: Rapid Test-Time Training for Perceptive Robot Parkour Flow Policy Gradients for Robot Control DRMOT: A Dataset and Framework for RGBD Referring Multi-Object Tracking Coupled Local and Global World Models for Efficient First Order RL On the Dynamics of Delayed Generalization in Linear Models Combining scEEG and PPG for reliable sleep staging Articulated 3D Scene Graphs for Open-World Mobile Manipulation Formal Policy Enforcement for Agentic Systems Prompt Interference in LLM Post-Training: Why Pass@k Optimization Can Degrade Pass@1 An Analysis of Role Semantics in Directed Dynamic Graph Modeling for Edge Classification Toward Guarantees for Clinical Reasoning in Vision Language Models via Formal Verification Learning Shortest Paths with Generative Flow Networks CodecFlow: Efficient Bandwidth Extension via Conditional Flow Matching in Neural Codec Latent Space A Counterfactual Graph Approach to Oppositional Narrative Analysis Neural-Surrogate Co-Design of Aerodynamic Shape and Control Scheduling Parallel Optical Circuit Switches for AI Training HybridStitch: Token-Adaptive Model Stitching for Efficient Diffusion Generation Grammar of the Wave: Towards Explainable Multivariate Time Series Event Detection via Neuro-Symbolic VLM Agents OxyGen: Unified KV Cache Management for VLA Inference under Multi-Task Parallelism AnolisVLA: Lightweight Vision-Language-Action Model with Deep State Space Models for Mobile Manipulation DyJR: Preserving Diversity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon Replay Contrastive Metric Learning for Point Cloud Segmentation in Highly Granular Detectors TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visualization JAL-Turn: Joint Acoustic-Linguistic Modeling for Real-Time and Robust Turn-Taking Detection in Full-Duplex Spoken Dialogue Systems IMAGAgent: Orchestrating Multi-Turn Image Editing via Constraint-Aware Planning and Reflection Spec-Harness: Assessing and Guiding LLM-Synthesized Formal Specifications Beyond Verifiability AromaGen: Interactive Generation of Rich Olfactory Experiences with Multimodal Language Models Process Rewards for Outcome-Guided Reasoning Steps in LLM Reinforcement Learning Pickalo: Leveraging 6D Pose Estimation for Low-Cost Industrial Bin Picking Generating Synthetic Doctor-Patient Conversations for Long-form Audio Summarization CMP: Robust Whole-Body Tracking for Loco-Manipulation via Competence Manifold Projection A Survey of Secure Retrieval-Augmented Generation PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning Negative Advantages Is a Double-Edged Sword: Calibrating advantages in GRPO for Search Agents TurboEvolve: Towards Fast and Robust LLM-Driven Program Evolution UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling MILP the Gap: An Automated Reasoning Approach to Condorcet's Paradox Call-Chain-Aware LLM-Based Test Generation for Java Projects PermaFrost-Attack: Stealth Pretraining Seeding(SPS) for planting Logic Landmines During LLM Training Cross-Stage Coherence in Hierarchical Driving VQA: A Consistency Protocol and Parameter-Efficient Gated Context Routing Hiding in Plain Sight: Detectability-Aware Antidistillation of Reasoning Models Structure Liberates: How Constrained Sensemaking Produces More Novel Research Output Dependency Parsing Across the Resource Spectrum: Evaluating Architectures on High and Low-Resource Languages Refining Compositional Diffusion for Reliable Long-Horizon Planning How Do Novice Describers Edit AI Drafts? The Role of Draft Quality in Audio Description Authoring XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity Selective Successor Eligibility Traces for RLVR AdaGamma: State-Dependent Discounting for Temporal Adaptation in Reinforcement Learning Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention APEX: Assumption-free Projection-based Embedding eXamination Metric for Generative Distribution Evaluation HIMMEL: Hierarchical Interleaved Multi-stream Motion Encoding for Long Video Understanding When and How to Canonize: A Generalization Perspective Discrete Flow Matching for Offline-to-Online Reinforcement Learning Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training Discrete MeanFlow: One-Step Generation via Conditional Transition Kernels Revealing the Gap in Human and VLM Scene Description through Counterfactual Semantic Saliency Towards Long-horizon Embodied Agents with Tool-Aligned Vision-Language-Action Models A Few Steps Further: Why Defenses Against Malicious Finetuning Erode Under Continued Training Concurrency without Model Changes: Future-based Asynchronous Function Calling for LLMs $\alpha$-TCAV: A Unified Framework for Testing with Concept Activation Vectors Conditioned in Training, Dispensable at Inference: Typological Conditioning for Multilingual Speech Translation LoopQ: Quantization for Looped Language Models The Impact of AI Search on the Online Content Ecosystem: Evidence from Google and Reddit Global Automation Atlas Learning Higher-Order Interactions from Incomplete Spatiotemporal Data with Mixtures of Hypergraph Laplacians $\boldsymbol{f}$-OPD: Stabilizing Long-Horizon On-Policy Distillation with Freshness-Aware Control Training data attribution in diffusion models via mirrored unlearning and noise-consistent skew Exact Symmetry as Algebra: Group-Structured Tensors that Enforce Physical Selection Rules Stdlib or Third-Party? Empirical Performance and Correctness of LLM-Assisted Zero-Dependency Python Libraries CTI2TTP: Evidence-Grounded TTP Extraction from Cyber Threat Intelligence via Diverge-then-Converge Verification GAC: Noise-Aware Adaptive Mixing for Hybrid SFT-RL Post-Training Beyond Questions: Evaluating the Stated Knowledge of LLMs How Do Uncertainty Estimators Align with Hallucination Occurrence in LLMs? When LLM Reward Design Fails: Diagnostic-Driven Refinement for Sparse Structured RL GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems idSCD: Identifying Training Datasets through Semantic Correlation Descriptors Hoeffding Concept Bottleneck Models with Applications to Overhead Images Real2SAM2Real: Generative 3D Caches as Complementary Context for Video Diffusion Shape Your Body: Value Gradients for Multi-Embodiment Robot Design How Much Can Repeated Running Buy? A Measured Variance Ceiling for LLM Code Evaluation The Value of Spike Timing: A Leakage-Resistant Benchmark of SNN Design Choices for Network Intrusion Detection Learning When to Translate for Multilingual Reasoning Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions OpenAgenet / OAN White Paper: Open Infrastructure for Trusted Agent Interconnection OpenAgenet / OAN Yellow Paper: Technical Architecture for Trust-Governed Resource Identity and Discovery Adaptive Patching Is Harder Than It Looks For Time-Series Forecasting Instant-Fold: In-Context Imitation Learning for Deformable Object Manipulation NoRA: Evaluating Grounded Reasonableness in Visual First-person Normative Action Reasoning Plan, Watch, Recover: A Benchmark and Architectures for Proactive Procedural Assistance Improving Heart-Focused Medical Question Answering in LLMs via Variance-Aware Rubric Rewards with GRPO TAM: Torque Adaptation Module for Robust Motion Transfer in Manipulation The Geography of Algorithmic Judgment: LLM Intermediaries, Place Identity, and Racial Steering in Housing Search DataEvolver: Automatic Data Preparation for Large Language Models through Multi-Level Self-Evolving One Skill, Two Masters: Serving Users and Attackers through Skill Injection FiberTune: Preserving Action-Fiber Visual Residuals in Vision-Language-Action Fine-Tuning Beyond Locality: Feature-Boundary Auditing for OS-Integrated AI RAIL: Rethinking Auditory Intelligence in Large Audio-Language Models with a CHC-Grounded Benchmark Task-Aligned Stability Analysis of Vision-Language Models for Autonomous Driving Hazard Detection HiLo-Token: Input-Adaptive High-Low Frequency Token Compression for Efficient Image Editing ThreadBench: Benchmarking Realism in Agentic Simulation of Real-world Discussions LLM Judges Have Dark Current: Stratified Null and Utility Tests for LLM Judge Reliability Retrievable Gradients: Continual Post-Training Without Cumulative Weight Drift Beyond Reward Engineering: A Data Recipe for Long-Context Reinforcement Learning Data-Aware Model Merging in the Essential Subspace for Multi-Task Knowledge Aggregation Human-like autonomy emerges from self-play and a pinch of human data FinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming ScholarQuest: A Taxonomy-Guided Benchmark for Agentic Academic Paper Search in Open Literature Environments RARM: Confidence-Gated Progress Reward Modeling for RL in Manipulation On the Sparsity-Storage-Accuracy Tradeoff in Parsimoniously Activated Dictionary Learning Learning with a Single Rollout via Pass@k Policy Optimization From Clicks to Intent: Cross-Platform Session Embeddings with LLM-Distilled Taxonomy for Financial Services Recommendations Error-Conditioned Neural Solvers SPARK: Adaptive Parametric Knowledge Participation for Faithful Retrieval-Augmented Generation RoboGaze: Evaluating Robot World Models via Structured Vision-Language Analysis When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs The Speedup Paradox: Rethinking Inference Speed-Quality Trade-off in Embodied Tasks Behavior Uncloning: Distilling Mode Redirection into Policy Weights without Inference-Time Steering Critical Interval MSE: Toward Reliable Offline Validation for Robot Manipulation Policies Federated Learning with Energy-Based Structured Probabilistic Inference Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs Optimal any-angle path planning in static and dynamic environments Ember: A Kilobyte-State Optimizer for Token Interfaces Beyond Cultural Persona Bias: Response Geometry as a Measure for Language Models and People AutoResearch: An Execution-Grounded Multi-Agent Framework for Reliable Research Workflow Automation TabQueryBench: A Query-Centric Benchmark for Synthetic Tabular Data Auto-AEG: Scalable Data Construction for Open-Vocabulary Audio Event Grounding HarnessMDP: Learning to Control LLM Agent Harnesses with Offline Reinforcement Learning Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion Multi-Agent AI Control: Distributed Attacks Hamper Per-Instance Monitors EgoWAM: World Action Models Beyond Pixels with In-the-Wild Egocentric Human Data Phone Segmentation and Recognition through Phonological Activation Mapping Automatic Thematic Indexing of Large Literary Corpora: A Machine Learning Approach to Voltaire's Complete Works An LLM-powered Agentic Recommendation System for Connected TV Content Discovery Comparing Socially-Equitable Renewable Energy Budget Allocation MDP Policies in Mature and Emerging Economies Scaling Point-in-Time Language Models: Enabling Economic Evaluation of Embeddings Bulkhead: Automated Semantic Detection and Remediation of Container Escape Vulnerabilities Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents Never Too Late for Force: Accelerating VLA Post-Training with Reactive Force Injection HALLMARK: How to Diagnose LLM Citation Verifiers and When to Deploy Them Audit Before You Update: Recording Artifacts and the Limits of Bounded Model Updates in MIMIC-IV ICU Prediction Agentic Real2Sim: Physics-based World Modeling with Vision-Language Agents ChannelGuard: From Borrowed Safety to Application-Controlled Defenses in Multi-Agent LLMs REGEN: Replay-recycling for Expert-to-Generalist distillation with Offline Reinforcement Learning Active Inference as a Convex Markov Decision Process Activation Steering with Jungian Cognitive Functions DBA-Bench: A Production-Fidelity Benchmark for LLM-Based Database Operations Agents Constraint-Aware Influence Estimation in Deep Constrained Learning Mission-Level Runtime Assurance for LLM-Assisted ISR Swarms over a Verification-Aware Fabric This Is a Good Paper, Right? How Tag Questions Affect Sycophancy Across 106 Language Models ForgetBench: Benchmarking Forgetting Dynamics of Long-Term Parametric Memory in Language Models Depth, Not Breadth: Best-of-N Jailbreaking Beyond Surface Noise Same Illness, Different Voice: Restating the Patient's Account Narrows Narrative Anchoring in Clinical Language Models Specification-Guided Synthesis of Deadlock-Free Communication Protocol Refinements with Large Language Models Flux-OPD: On-Policy Distillation with Evolving Contexts COSI-Lab: Conference Living Lab for Modeling Multi-Perspective Multimodal Social Intention Gated Q-learning: Add Off-Policy Bias to Taste LLM-OSDA: An Optimal-Stopping Dynamic Auction for Native Advertising in Multi-Turn LLM Conversations From Chasing Ghosts to Missed Attacks: Perspectives and Perceptions of SOC Practitioners on LLM Integration, Risks, and Readiness AI Alignment and Fiduciary Obligation Patients-like-me: A Variational LM--GNN Framework for Explainable Clinical Prediction Need or Reputation? Region, National Income, and Academic Status in LLM Gatekeeping Decisions Factorized Hypothesis Search for Evidence-to-Taxonomy Retrieval LifelongCrossNav: Persistent 3D Semantic Memory for Cross-Floor Multi-Object Navigation Measuring Concept Content in Text from LLM Activations: ESG Evidence from Concept Vectors and Linear Probes Search-G1: Co-Evolving Representation-Based Rewards for Selective Grounded Search Router Sensitivity Under Lightweight Fine-Tuning Identifies Prunable Experts in Mixture-of-Experts Models Lost in Context Compaction: When LLM Systems Drop Side Constraints A, B, C, or Stable? Accuracy and Order Sensitivity Diverge in LLM Multiple-Choice Evaluation P2Skill: Privacy Preserving Skill Distillation for Cloud-Local LLM Inference Systems Plausible but Not Valid: A Psychometric Audit of LLMs as Synthetic Survey Respondents Listen, Reason, and Segment: Aligning LALMs with Editorial Judgment for Media Chapterization SIDScope: A Diagnostic Resource for Semantic-ID Interfaces in Generative Recommendation DualOPSD: Closing the Feedback Loop in On-Policy Self-Distillation Delegating Before Learning: Where Generative AI Sits in Students' Professional Communication Disclosure-Gated User Simulation for Companion-Agent Evaluation EmbodiedSkills: World Action Model-augmented Cascaded Skills for Vision-Language-Action Agent LatentPress: Context Compression Beyond Text and Vision TC-Next: Zero-Shot Multimodal Cyclone Forecasting From Portraits to Pathology: Probing Diagnostic Overreach in Vision-Language Models SeRV: Semantic-Aligned Residual Vector Quantization for American Sign Language Generation Open Tabular Insight Extraction: Where Do We Stand, and Where Should We Go? RoboCousin: Build Your Own Simulation Playground for Robust Bimanual Robotic Manipulation X2Streaming-ASR: wait when uncertain, emit when ready for streaming ASR SPINE: Measuring LLM Sycophancy under Sustained Multi-Turn Pressure Divide, Consult, Conquer: Capability Laundering Through Aligned LLMs CoReLoop: Parameter-Efficient Controlled Recurrent Refinement for Audio Deepfake Detection Forecasting Brain Tracer Distribution from Pre-Contrast MRI: A Comparison of Direct Regression and Flow Matching Same Outcome, Different Readout: What Does a Steerable Valence Direction in LLMs Represent? Propose, Verify, Commit: Evidence-Grounded Memory for Long-Horizon Multi-Actor Conversations Do Language Models Need Music Supervision? Verifiable Rewards for Multi-Constraint Symbolic Music Generation Misaligned Clinical Risk Classification and Cost Asymmetry in Open-Weight Large Language Models GameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay PICPIs: Prediction-Interval-Conditional Prediction Intervals Quantization-Robust Unlearning through the Lens of Retain-Forget Loss Landscapes Interaction When Context Misleads: In-context Learning with Jurisdiction in Large Language Models Beyond Unsafe Detection: Counterfactually Anchored Evidence Attribution for Multi-Turn LLM Safety Failures R-DEIM Net: An Efficient Rationale-Augmented Dual-Expert Interaction Model for Paraphrase Detection Verification as an Architectural Layer for LLM Agents: A V-Model Design, and a Pilot Study of Its Deterministic Core SoFT: Soft Targets for Generalizable LLM Fine-Tuning LLM Alignment--Utility Asymmetry under Semantic-Preserving Transformations Eval4DiRec: A Unified and Systematic Evaluation Framework for Diffusion-based Recommender Systems ESTHER: Egocentric Stereo Hand Estimation and Reconstruction in the Wild The Compiler May Read It, the Agent May Not: Keeping Part of a Research Code Away from a Coding Agent Draft in Parallel, Condition Through Depth: Adjacent Causal Injection for Speculative Decoding Proofs Without Nominals: G\"odel's Ontological Argument, its Shallow Embedding, and the Open Questions of the Monatshefte Notes WeLike2Party! In-Context Motion Transfer for Multi-Human Image Animation Purlin: Separating Orchestration from the Datapath of Collectives V-JEPA Policy: Building Effective World-Action Models on Predictive Visual Latents On the Relaxation of Conditional Independence Assumption for Image Segmentation Structure vs. Chain-of-Thought: Evaluating LLM Criteria Extraction for Depression Severity Ready2Blend: From Natural-Language Instructions to Composable Alignment Prompts Tactile Curiosity Drives Robot Interaction ViTeX-Bench: Benchmarking High-Fidelity Video Scene Text Editing Screw Attention: Rigid-Body Algebra Inside a Transformer MoLE: Mixture of Latent Experts for Complementary Visual Reasoning One Distribution, Two Channels: Coverage-Calibrated KV Retention and Compensation ULTRADISCOVERY: Abductive Exploration in an Interconnected, Epistemically Open Universe Distribution Matching Evolutionary Algorithms for Rare Event Sampling Clean: Second-order LLM Training at Linear Memory Cost via Nystr{\"o}m Sketching Scaling Verifiable Environments for Long-horizon Work Agents TempoBridge: Source-Conditioned Flow Matching with Optimal Transport Couplings for Single-Cell Population Transitions E$^2$-OPSD: Taming Entropy Overshoot in On-Policy Self-Distillation No Concept Escapes the Audit: Auditing-Aware Unlearning for Verifiable Concept Erasure in Diffusion Models Boosting Transferable Adversarial Attacks against Deep Reinforcement Learning CrystalJev: calibrated foundation-model probabilities decide what to compute next in materials discovery Scale-Invariant Training for Time Series Foundation Models Recurrent Looped Transformer SanSi: A Looped Typed Decision Model for System 1.5 Thinking Secure Speculative Decoding for Large Language Models GraphOPD: Graph-Augmented On-Policy Distillation for LLM Agents Mixture of Layers: Dynamic Layer Routing for Visual Reasoning OmniCam: Omni-Camera Trajectory Generation via Geometry-Grounded Pose Token Learning Coding-Agent Benchmarks Should Match Their Users' Task Flows Beyond Policy Support: Interaction Constrained Offline Reinforcement Learning for Autonomous Driving Why Software Engineering Is Indispensable in the Age of Coding Agents NavGPT-3: Harnessing Context in a Hierarchical Navigation Runtime Grammar Concept Annotation at Scale: Deployed Fine-Tuned Small Language Models Outperform Prompted Frontier Models AffordDrive3D: Affordance-Aware World-Action Modeling with Spatial Understanding Continuous Ground-Truth Construction and a Recovery Policy for Air--Water Robotic Tracking REMORY: Learning Residual Memory for Context Compaction Zatom-2: Multitask Pretraining on Atomistic Data for Generative Modeling across Domains Constitutional Gating and Deterministic Recovery for Multi-Agent LLM Negotiation: Ablations Against a Stateful Adversarial Gatekeeper Sera: Semantic Representation Aggregation with Knowledge and LLM for Reliable and Interpretable Battery Health Forecasting One Skill Too Many: How Co-Installed Skills Conflict in Coding Agents Stochastic Grouping Conformal Prediction for Effective Subgroup Reliability HWAM: Humanoid World Action Model With Joint State--Action Generation Distilling Routed 3D Privilege for Spatial Reasoning in Vision-Language Models Telling FIBS: Probes Effectively Detect Sabotage and Catch Unverbalized Deception Beyond Actions: Learning Future Operation Targets for Vision-Language-Action Models ReSFlow: Rectifying Categorical Flows on Statistical Manifolds for One-Step Generation Hide and Seek: HIDE Concepts to SEEK explanations for black box modelsGithub Trending (Python)
debpalash/VoiceStudio Alishahryar1/free-claude-code harry0703/MoneyPrinterTurbo open-webui/open-webui baidu/Unlimited-OCR browser-use/video-use mvanhorn/last30days-skill XiaoYouChR/Ghost-Downloader-3 sgl-project/sglang-omni NVIDIA/personaplex sgl-project/sglang rommapp/romm MadsLorentzen/ai-job-search ComposioHQ/awesome-claude-skills 1Panel-dev/MaxKBGithub Trending (C)
Cyan4973/xxHash willfaust/Madeira tarwin/tinyjsapp pgvector/pgvector HarbourMasters/PaperBoat Zelda64Recomp/Zelda64Recomp espressif/esp-claw cboxdoerfer/fsearch dorianborian/sesame-robot rogerbinns/apsw curl/curl SchedMD/slurmNature
Catalytic transfer of carbon atoms enables spirofusion of C–C σ-bonds This is why butterflies are so hard to catch Biomedical engineering is growing rapidly, but will it help patients? Author Correction: Wafer-scale epitaxy growth of high-mobility p-type boron carbon nitride Growing plane and ship traffic degrade the air of western North America The world is closer to a major conservation target than scientists thought Becoming real Lay of the land: terrestrial conservation efforts cover a wider area than thought Will my lack of country-specific grants limit my chances of employment abroad? A guide to the Nature Index Nature Index reveals the four countries to watch in biomedical engineering Is this idea from AI or humans? A detector claims it can tell Some Jurassic period birds were flightless Large blind test of methane-detecting satellites lends credibility to emissions data China’s AI research is booming: what it’s like to be on the front line Protecting nature means valuing biodiversity ‘Incredible’: bleached corals thrive within days when touching healthy neighbour Alveolar stem cells go beyond making gas-exchange cells to repair damaged airways Hydrogels and MRI: meet three biomedical engineers reshaping health care How early tetrapods got their neck Structural basis of ligand recognition and gating in mosquito IRs Overlooked brown fat in our bodies linked to wide range of health benefits Smartwatch health data are piling up. How can doctors keep pace? China’s extraordinary rise in science and how it will change the world Evidence for multi-Li+ clustering in lithium-ion battery electrolytes Global conservation area coverage substantially exceeds current estimates Engineered TYK2 dependence enables myeloid-selective IL-10 receptor agonism Elp1 is required for myeloid differentiation and brain repopulation Modelling mouse embryogenesis from chemically induced totipotent stem cells Competing mechanisms toughen bcc binary and medium-entropy alloys at 20 K Parity-dependent coupling of molecular spin chains to a superconductor Capillary-selective vasodilation through myosin inhibition halts ischaemic cascades Evaluating space-based methane detection through a one-year blind test De novo design of cysteine proteases Computational design of metalloproteases Divergent genomic evolution in astrocytomas and oligodendrogliomas Rh3+ stabilized in KRh@MFI catalyses regioselective hydroformylation Targeted stimulation of motor cortex ensembles drives learned movements Artificial intelligence-enabled clinical phenotyping of human brown fat Early tetrapod neck mobility modelled using an extant analogue Intrinsic physicochemical activity at microplastic–water interfaces Hidden reaction pathways inform additive engineering for perovskite LEDs Clasping folds enable superior elastic strength of graphene films Wave coarsening drives time crystallization in mechatronic metamaterials Sexual dimorphism in epidermal stem cell dynamics Interhemispheric monsoon dynamics over the past 450,000 years A microexon regulatory code reveals autism-linked genetic variation Educational intervention can rewire village social networks Advancing subseasonal forecasting with machine learning Jurassic flightless bird reveals early ecological diversity of avialans Preserve research data for tomorrow’s AI-enabled integrity checks Atomic-scale spin sensing of a 2D d-wave altermagnet via helical tunneling Decentralized AI needs more evidence on energy use Selective, Catalytic Oxidation of Polyethylene Surfaces Lead-tainted teeth reveal medieval mines’ unequal toll When microbes degrade plastic, where does it go? A mysterious jelly seems to be left behind by toads Why not every global problem can be tackled by an IPCC-like organization Diversify Nobel-prize nominations before it’s too late Daily briefing: What makes a happy scientist at work? Whistleblowing in universities is ‘extraordinarily risky’: stronger protections are needed What’s the secret sauce for happy scientists at work? These eight countries offer some clues Can GLP-1s heal the brain? Obesity drugs get a makeover for addiction and depression Inundated AI conferences impose submissions caps Admire another researcher’s work? Tell them about it Author Correction: Parkinson’s disease as a somato-cognitive action network disorder In the AI era, coding means thinking like a systems architect Award-winning microscopy image disqualified over AI use Author Correction: Timing and trajectory of BCR::ABL1-driven chronic myeloid leukaemia Keep medical doctors in academia — without them, health-care research will suffer Economics Nobel awarded for work on stabilizing economies in crisis Beyond the solvent fog: watching molecules dance in the crowd What does a PhD pay? Data reveal huge gaps across Europe Hidden signals in sleep can predict future health I told ChatGPT to ‘continue’ — it went too farCNN
Some on-air claims about Dominion Voting Systems were false, Fox News acknowledges in statement after deal is announced Dominion still has pending lawsuits against election deniers such as Rudy Giuliani and Sidney Powell Here are the 20 specific Fox broadcasts and tweets Dominion says were defamatory Judge in Fox News-Dominion defamation trial: 'The parties have resolved their case' 'Difficult to say with a straight face': Tapper reacts to Fox News' statement on settlement Millions in the US could face massive consequences unless McCarthy can navigate out of a debt trap he set for Biden White homeowner accused of shooting a Black teen who rang his doorbell turns himself in to face criminal charges Newly released video shows scene of Jeremy Renner's snowplow accident Jake Gyllenhaal and Jamie Lee Curtis spent the Covid-19 lockdown together Toddler crawls through White House fence, prompts Secret Service response Jamie Foxx remains hospitalized nearly a week after 'medical complication' A 13-year-old dies after participating in a Benadryl TikTok 'challenge' See pizza delivery guy take out suspect fleeing police Netflix is winding down its DVD business after 25 years FTC chair Lina Khan warns AI could 'turbocharge' fraud and scams Eating too much of these foods is driving the rise in type 2 diabetes, study says ADHD medication abuse in schools is a 'wake-up call' Apple CEO was presented with an original Macintosh. See his reaction Democrats bash Justice Clarence Thomas but their plan to investigate ethics allegations is unclear Russia is 'going backwards' in equipment and deploying post WWII-era tanks, according to Western officials Two Russians claiming to be former Wagner commanders admit killing children and civilians in Ukraine 'My stomach is hurting from laughing': Hear panelist's reaction to DeSantis' threat to Disney GOP prepared to block vote to replace Feinstein on Senate Judiciary Oklahoma governor calls on officials to resign over recording of racist and threatening remarks McCarthy slams Biden in handling of US debt US warns Russia not to touch American nuclear technology at Ukrainian nuclear plant Repeated gunshots fired on live TV as ex-lawmaker shot by assassins FDA clears the way for additional bivalent boosters for certain vulnerable individuals Maine authorities detained a person of interest after 4 people were found dead in a home and 3 others shot while driving Southwest says flights resumed after delays caused by 'tech issues' Damar Hamlin cleared to resume football activities after January cardiac arrest Pilot makes history after landing on top of a 56-story hotel Top US Navy admiral defends non-binary sailor amid some Republican criticism Fulton County DA says fake Trump electors are incriminating one another and wants lawyer disqualified High speed trains are racing across the world. But not in America Podcast: One country musician is calling for other artists to oppose assault rifles Here's what you need to know if you haven't filed your return yet — and even if you have Undocumented immigrants are paying their taxes today, too Opinion: Why millionaires like us want to pay more in taxes 'World's longest' purpose-built cycling tunnel opens in Norway Artist rejects photo prize after AI-generated image wins award These ships disappeared in Lake Superior a century ago. Watch as they're found again Erotic images of seniors show sex and intimacy in new light China's economy is off to a solid start, rising 4.5% in Q1 2023 Even when wives make as much as husbands, they still do more at home McDonald's is upgrading its burgers Google-parent stock drops on fears it could lose search market share to AI-powered rivals Bidets save you money and reduce waste — we tested the best options out there 50+ products to make your life easier and our planet cleaner Mother's Day is around the corner. Here are 50+ thoughtful gifts she'll love A head-to-toe guide of how men should dress this spring, and where they should shop 42 of the most useful travel products you can buy on Amazon The 7 best high-yield savings accounts of April 2023 Taxes are due tomorrow. Here's how to file for an extension Composting is an easy way to reduce food waste. Here's how to do it We stopped using aluminum foil for cooking and you should too. Here's what to use instead The beloved Dyson Supersonic hair dryer is at its lowest price ever Everything you need to know about Way Day 2023, Wayfair's biggest sale of the year The 10 best Amazon deals to shop this week Mifepristone saved my life The 2024 presidential alternative many voters will want Why isn't the House Judiciary Committee looking into Thomas? Top secrets come spilling out How did Sudan go from casting off despotic rule to this? Michelle Yeoh set to return in new 'Star Trek' movie Recap: 'Succession' finds dark humor in the aftershocks 'Yellowjackets' leans hard into '90s music nostalgia, and we're here for it Jeremy Renner revisits 'the amazing group of people' who helped him recover from his accident Review: 'Barry' takes a whack at its farewell seasonNPR News
Aboard an icebreaker, a writer got a closer look at the Arctic's 'Sea Change' Inflation sizzled in September — and Social Security benefits will get a boost Hands-on with the Ocarina of Time remake, the most ornate Zelda game ever made Zelenskyy sits down with NPR. And, Pope Leo diagnosed with lung cancer These workers help train robots who could one day steal their jobs Trump's ambassador to Greece, Kimberly Guilfoyle, resigns after allegations of improper conduct The skincare scheme that led to consumer complaints, lawsuits and a federal investigation VIDEO: The skincare sample is free. What happens next can cost thousands In Kansas, a newly competitive Senate race tests limit of Trump's unpopular policies Civil rights advocates plan to send thousands of observers to midterm polling placesThe Atlantic
Kimberly Guilfoyle Broke Trump’s Most Important Rule How Trump Is Selling Out Ukraine The Rise of In-Office Remote Work Nine-Inch Snails Saudi Arabia Is Running Out of Options Going Hungry in Trump’s Economy Welcome to Over/Under The Most Cursed Team in American Sports Hi, I’m Your New Press Secretary, and It’s My First Time Reading Words Out Loud A Novel That Turns the Tables on AI Trump’s Affection for Russia Is No Mystery Photos: Fall Is in the Air Trump’s Dubious Claim About the Ilhan Omar Search What If AI Is the End of the World? The Incredible Ambitions, and Rivalry, of Musk and Bezos Why the Intelligence Gap Really Matters The Atlantic’s November Cover: Josh Tyrangiel Profiles Jeff Bezos and Elon Musk on Their Race to Control Outer Space—And Measures Who Is Ahead The Rise of the IRL Influencer Good Villains Are Hard to Come By. This One’s Great. The Journalist and the Manipulator The Man Who Wanted to Understand Every Aspect of Jewish Life Choose Your Overlord Trump’s October Surprise Trump’s Message to Ukraine Is Now Crystal Clear Make Big Brother Bad for Big BusinessVox
Trump is taking his midterms anger out on Ukraine Your flu shot can’t wait The problem with the US surrogacy system Trump’s bizarre new transit plan could hurt the families who need it most Universal childcare is set to be a 2028 presidential test The rise and fall of a MAGA princess The Supreme Court may be about to make America’s prisons much crueler Trump’s revenge campaign comes for Ilhan Omar Florida’s uniquely horrifying death penalty system How housing victories in San Diego, Austin, and Atlanta could spread nationwideAl Jazeera
Albanian Ministry of Justice on fire as education protesters riot OpenAI bugging suspect allegedly booked one-way trip to Saudi Arabia North Korea tests two submarine-launched missiles, state media reports Teenager dies as heavy rain floods Istanbul Trump administration seeks to strip Ilhan Omar of US citizenship: WSJ Trump plays Muslim Brotherhood card against Senate candidate El-Sayed Kenya’s Ebola cases test preparedness beyond Nairobi Tunisia: What has Kais Saied achieved economically in seven years? White House spokesperson Katie Zacharia’s law career faces scrutiny Trump suggests those who leak government information should ‘be shot’ Istanbul in chaos, shut down by heaviest rainfall since 1985 Ship catches fire in Romania’s waters amid rising attacks in the Black Sea Costa Rica opens mega-prison as Bukele model embraced across Latin America Mexican court closes case against official over 2023 detention centre fire Iran war live: Tehran vows to fight until US yields as ships sink in Hormuz US destroys dhow suspected of Iranian command and control Denmark pushes back as Trump touts Greenland oil and mineral deals ICE rejects recommendation for body cameras that automatically record Real Madrid come from 3-1 down to beat Roma on Champions League travels PSG beat Man City 4-2 in Champions League thriller Colombia opposition groups launch protest against de la Espriella’s cuts West Indies beat India to level T20 series as Hope continues record run Israeli quadcopter drone drops bomb in Lebanon Families of Trinidadian men killed in US boat strike demand accountability Sky turns orange as wildfires rage across IndonesiaArs Technica
Fridge hack costing millions and sparking fires stemmed from poor security Epic says its new vibe-coded Epic Games Launcher is faster than Steam NATO may redeploy anti-drone defenses as attacks sink more Black Sea shipping Things are finally looking up for NASA's first missions to Venus in a generation Schools across US protest FCC plan that could disconnect kids from Internet Georgia man sues Flock, sheriff's office over alleged ALPR-fueled retaliation Software development and rules stability: Prototype racing in 2030 Greta Gerwig channels Bowie in psychedelic The Magician's Nephew trailer Researchers use AI to design proteins that cut up other proteins Recording device hidden in toilet paper found in top-secret OpenAI meeting room Legendary FPS level designer Richard "Levelord" Gray dies at 68 Ukraine blindsided by Starlink throttling restrictions and intelligence gaps Anthropic warns small AI models could self-replicate through IoT devices The Internet’s undersea backbone is slipping into the danger zone OpenAI, Google pushing new AI models easily tricked into making nudes, researchers say Martin Shkreli livestreamed himself violating lifetime pharma ban, FTC says ESA targets Anbernic emulation handhelds as "superfake" piracy enablers Topgolf saved over $11.3 million after leaving VMware Trump commercial railing against his enemies kept airing after court blocked it Disney offers $20M for Character.AI’s scandal-plagued chatbot techSlashdot
Eight US States Sue OpenAI, Claiming ChatGPT Harms Young Users Microsoft Defender Now Supports Linux Desktops Epic Games' New Vibe-Coded Launcher Is 46% Faster Than Steam US Tech Giants Warn Europe That Data Sovereignty Requirements Could Cost $128 Billion Google Is Silently Linking Your Phone Number Across All Signed-In Accounts Anthropic Warns Small AI Models Could Self-Replicate Through IoT Devices Google Play Now Lets Anyone Build Private, Vibe-Coded Apps That Run On Android Netflix Cuts About 6% of Jobs In Biggest Layoffs Since 2022 Dutch Tax Authorities Cancel Microsoft 365 Cloud Rollout, Turn Toward Open Source Anthropic Reinvents Source Control As Claude Floods the World With Code Skydance's Discovery+ Prices Increase By Up to 20% FBI Arrests Saudi OpenAI Employee For Planting Recording Device In Conference Room GTA 6 Is Reportedly Coming to PC In Early 2027 Disney Offers $20 Million For Character.AI Assets As Startup Files For Bankruptcy Kroger to Lay Off 3,000 Corporate Employees In AI RestructuringSmithsonian Magazine
See the Stunning Winners of the Wildlife Photographer of the Year Contest, Capturing the Splendor and Drama of Nature A New Contender for the World's Oldest Shipwreck Has Been Discovered Off the Coast of Turkey. Its Ancient Cargo Is a 'Time Capsule' From 4,700 Years Ago This Vincent van Gogh Painting Has Not Been Seen in Public for Over 60 Years. It Is Now Poised to Set a Record at an Upcoming Auction Two Recently Stolen Renoir Paintings Were Found Hidden Behind a Cinderblock Wall. French Police Used DNA Evidence and Vehicle Tracking to Crack the Case Archaeologists in Egypt Discover a Mud-Brick Tomb Featuring a Heartbreaking Elegy to an Ancient Man's Father Mourners Placed an Ancient Sippy Cup in a Roman Toddler's Grave. It May Have Been Meant to Sustain the Child on the Journey to the Afterlife A Family of Barn Owls Has Moved Into New York City's Upper West Side, Perhaps the First to Nest in Manhattan in Modern History One of the World’s Largest Chinstrap Penguin Colonies Is Shrinking Fast After an American Bomber Crashed Into an English Moor During World War II, a Corporal Was Declared Missing in Action. Archaeologists Have Now Revived the Search for His Remains An Unprecedented Trove of Ancient Wooden Tools Uncovered at a Rock Shelter in Spain Shows Neanderthals Were Skilled WoodworkersInfoQ
Meta Extends Confidential Computing to AI Glasses with Private Processing Presentation: How to Find Resilience Bugs in Systems that Don't Exist Article: Composable Commerce: Inside Shipt’s Kit Platform Google Antigravity SDK Adds Local Model Support for Greater Token Efficiency and Code Privacy Cloudflares Newly Acquired Vite+ Reaches 1.0 with GitLab CI Support, Hooks, and tsup Migration Backstage 1.55 Adds Scaffolder Task Recovery and Removes Deprecated Catalog APIs ZCS Command Injection via SNMP Handlers Enables Unauthenticated Remote Code Execution Production Patterns for Agents, Evals, and LLM Costs: QCon AI New York 2026 AWS Reworks EventBridge Custom Buses for Enterprise-Scale Event-Driven Architectures Presentation: How Eve Online Leverages Head Based Sampling to Observe "Fun" Cloudflare’s OHTTP Gateway Refuses to Decrypt Requests That Arrive through Cloudflare Spotify More Than Doubled Monthly Code Changes as AI Accelerated Development Article: When Should You Use Liquid Clustering? Benchmarking Lakehouse Layout Strategies Podcast: What Does It Really Mean To Program With AI: A Conversation with Joy Ebertz Presentation: You Can't Trust Your AI Bill. And Neither Can IDynomight
Why is the human body so crap except for the liver? Thoughts I had while reading your comment Indirect lessons from human alignment So you want to use plants to reduce indoor CO₂ Does every question mark deserve a Betteridge? Does creatine make you smarter? Pseudpocalypse Life with hazard ratios Blink if you’re human The worthlessness of vitamin D is mildly exaggerated Is “colorectal cancer” rising in “young people”? What’s with all the slide decks? You’re probably taking the wrong painkiller I quit drinking for a year LLMs predict my coffee The modern formatting addiction in writing Maybe there’s a pattern here? Heritability of human life span is about 50% when heritability is redefined to be something different Why read novels? Good if make prior after data instead of before Why the chicken crossed the road, according to various entities Underrated reasons to be thankful V Make product worse, get money Dating: A mysterious constellation of facts Pointing machines, population pyramids, post office scandal, type species, and horse urine Will the explainer post go extinct? Y’all are over-complicating these AI-risk arguments Shoes, Algernon, Pangea, and Sea Peoples Dear PendingKetchup You can try to like stuffMarginal Revolution
China fact (?) of the day Wednesday assorted links *Plunder: The Last of the War in Europe, 1945* Well-planned African immigration to America will go fine Perry Mehrling, RIP Tuesday assorted links Is Your Agent a Double Agent? *Lost Worlds* “I have no mouth and I must scream” Monday assorted links Michael Woodford, Nobel Laureate Robert E. Hall, Nobel Laureate The Nobel Prize Goes to Robert Hall and Michael Woodford Michael Woodford Wins Nobel Okie-dokie, Casey Handmer editionNot Boring
Runway: Learning From Watching the World Weekly Dose of Optimism #214 Weekly Dose of Optimism #213 Airbound: As We May Move Weekly Dose of Optimism #212 Would We Send Our Kids to HAA? Weekly Dose of Optimism #211 Weekly Dose of Optimism #210 An Ode to Counter-Positioning Everyone is Reading Lonesome Dove Weekly Dose of Optimism #209 Weekly Dose of Optimism #208 An American Engineer in China Weekly Dose of Optimism #207 Weekly Dose of Optimism #206 Base Power Company: Chapter 3 Weekly Dose of Optimism #205 Weekly Dose of Optimism #204 AI is Oil, Not God Weekly Dose of Optimism #203Coding Horror
If we do not stop to help each other, what do we become? You Can't "Vibe Code" Love Every Choice Changes Everything: The Show Thank You For Being a Friend Launching The Rural Guaranteed Minimum Income Initiative The Road Not Taken is Guaranteed Minimum Income Let's Talk About The American Dream Stay Gold, America The Great Filter Comes For Us All I Fight For The Users The 2030 Self-Driving Car Bet Updating The Single Most Influential Book of the BASIC Era Building a PC, Part IX: Downsizing The Rise of the Electric Scooter Electric Geek Transportation SystemsNASA Breaking News
NASA to Host News Conference Previewing US Spacewalks 100, 101 NASA Astronauts to Answer Questions from Florida Students NASA’s Chandra Breaks Down ‘Treble Clef’s’ Galaxy Cluster Collision NASA’s Space X CRS-35 Launch Jellyfish NASA Develops Batteries to Power Humanity’s Return to Moon NASA to Discuss Artemis Acceleration, Status of Upcoming Moon Missions APOD: 2026 October 14 – Mars and the Beehive Under an Aurora Hurricane Simon Lurks Off the Mexican Coast NASA Names Astronaut Christina Koch Acting Deputy Chief Engineer Comparing Off-World Rover Driving DistancesQuanta Magazine
Triplet of ‘Ghostly’ Galaxies Hints at What Dark Matter Is — and Isn’t Is ‘Attention’ the Essence of Intelligence? How Does Life Unfold? A Landscape Metaphor Comes Into Its Own. As AI Closed In on ‘Unique Games’ Proof, Researchers Raced to Beat the Machines Is AI the End of Math As We Know It?Science Daily
Gigantic prehistoric snake discovered in India may have been one of the largest ever New knee arthritis treatment delivers lasting pain relief without surgery Scientists may have overlooked a hidden Alzheimer's culprit for decades The secret to easier exercise as an adult may start in childhood Scientists reveal why some workout recovery tricks can backfire Cornell scientists identify rare human genetic disorder in two unusually long-legged cats Scientists discover how harmful “zombie cells” hide from the immune system AI reveals a hidden chemical shortcut that could turn CO2 into fuel The secret to handling stress better may start at breakfast James Webb reveals a massive cosmic structure that challenges our understanding of the Universe Scientists may have finally solved the mystery of the Moon’s two faces AI can act exactly like a human, but we still don't think it's conscious A planet 320 light-years away confirms what scientists long suspected 210-million-year-old dinosaur discovery reveals a lost world in Africa Scientists uncover a hidden map of the brain with 539 distinct regions Scientists discover a surprising paradox in how our cells age Scientists just gave the powerhouses of our cells a high-tech upgrade This tiny jurassic predator helped pave the way for the human brain Physicists discover “astonishing” property of light that defies expectations Your gut bacteria could be changing how many calories you absorb Scientists find a hidden problem with endless smartphone scrolling Popular weight loss drugs linked to a surprising fingernail problem Scientists uncover the 2.3-billion-year-old secret that helped keep Earth habitable Europe's new Sentinel-3C satellite just sent back spectacular images of Earth DNA recording system reveals how a single cell becomes a body Scientists recreate a bizarre quantum effect that stops a particle cold Scientists find a surprising genetic twist behind octopus intelligence Scientists discover vanilla’s hidden healing potential Scientists find hidden driver of aging and a simple amino acid that fights memory loss in mice Scientists make stunning discovery that could help explain why life exists A surprisingly simple way to relieve knee arthritis pain without pills or surgery NASA astronauts splash down after 100 million miles in space Just 10 minutes of daily exercise could unlock deeper sleep A plastic once thought harmless may be fueling fatty liver disease Scientists discover why a 100-year-old mushroom disease won't go away The hidden math of Alzheimer's could point to new treatments New injection makes fat cells self-destruct NASA captures a stunning transformation in Australia's red outback NASA spots a giant patch of Moon-like rock on Earth October’s night sky is full of cosmic tricks and treats Scientists build a nuclear clock that could make atomic clocks obsolete Eating olive oil before carbs has a surprising effect on blood sugar Neanderthals may have used prehistoric glue as an ancient antibiotic The eye has a hidden cleanup system scientists never knew existed Scientists created a tiny device that can control your nerves to treat chronic pain Scientists discover 5 hidden brain patterns behind depression NASA is searching for hidden caves to build its first Moon base Scientists discover a hidden factor that can make or break chemical reactions Scientists may have found a shortcut to fusion energy MIT astronomers catch a star in a feast that could last billions of years Scientists create a lightsaber-like laser antenna that transmits radio waves Only one workout helped older adults lose fat and keep muscle Scientists accidentally discover a genetic code that breaks the rules of life Scientists warn a popular vitamin D supplement may have a hidden downside Scientists find hidden materials that could improve batteries and solar fuels This “golden tree” coral was too strange for any known family Bowel cancer “melted away” after immunotherapy, then stayed away Scientists found Homo erectus 200,000 years earlier than expected After 30 years, scientists finally have a drug for a deadly brain disease NASA’s Webb finds signs of Mars-sized worlds smashing togetherSpaceflight Now
SpaceX launches NASA science and cargo to the International Space Station Launch preview: NASA, SpaceX to launch new solar arrays, 6,300 pounds of cargo to the space station SpaceX Falcon 9 rocket launches 27 Starlink satellites from California SpaceX launches 21 data satellites for the Space Development Agency SpaceX scrubs launch attempt for 21 data transport satellites for the Space Development Agency Falcon Heavy flies its first mission for U.S. spy satellite agency Fresh crew takes off for six-month stay aboard space station Launch preview: More than 100 spacecraft hitch a ride to orbit on SpaceX’s Transporter-18 Launch preview: NASA, SpaceX launch next crewed mission to the International Space Station NASA plans unpiloted Starliner test flight at end of yearSpace Daily
In 1967 the Americans had a spare rocket at Woomera, and Australia built a 45-kilogram satellite to fly on it in eleven months MIT built a ring of copper wire around Earth in 1963, and more than 20 clumps of it are still in orbit A Dutch schoolteacher clicking through galaxy images on a volunteer website in 2007 flagged a green smudge she couldn’t identify and asked what it was. It turned out to be a cloud of gas lit by a quasar that had already switched off, and astronomers named the object after her. To reach Jupiter, Juice took a detour past Venus, then returned to Earth on 28 September for a successful gravity boost while using our Moon to rehearse the navigation it will need around Jupiter’s icy moons. In 2001, Taco Bell anchored a 40-foot floating target off Australia and promised every American a free taco if the falling Mir space station hit it — and the company took out an insurance policy against a direct strike before the 130-ton station came down German sailors threw thousands of bottles overboard between 1864 and 1933 to chart ocean currents, and in 2018 a woman walking an Australian beach picked one up, 132 years after a captain logged it going over the rail — and the note’s details matched the ship’s journal exactly Melbourne gave each of its 70,000 street trees an ID number and an email address in 2013 so residents could report dropped limbs, and instead the trees received thousands of love letters from around the world, which city staff sometimes answer in the voice of the tree In 1920, the New York Times ridiculed rocket pioneer Robert Goddard in an editorial claiming rockets could never work in the vacuum of space, and 49 years later — the day after Apollo 11 lifted off for the moon — the paper printed a three-paragraph correction Verkhoyansk recorded 38°C in June 2020, the highest temperature ever measured inside the Arctic Circle. The same town holds a record of minus 67.8°C, which gives it the largest temperature range of anywhere on Earth. NVS-03 navigation satellite awaits GSLV-Mk2 launch in mid-October 2026 as sources cite a 15-20 October window after NVS-02 orbit failureSpace News
How mini-constellations could more quickly bring new tech to Europe, and to orbit Jena-Optronik is proud to partner with MDA Space for its first ASTRO HP mission. What will it take to build a moon base? Announcing the finalists for the 2026 SpaceNews Icon Awards Deposition Sciences, Inc. Expands Sunshade® Tape Offering with New 12″ × 30″ Format Resource competition intensifies with surge in megaconstellations Agile Space Industries Strengthens Board and Corporate Development to Support Continued Growth World Space Week 2026 Celebrates the “Rocket Revolution” Rethinking risk with electronics for space LMT Group and Novaspace partner to develop strategy for 5G/6G satellite communications hub in Latvia China launches Guowang, Yaogan-40 satellites, sets up busy Q4 manifest Galileo Space Is Building Satellites That Turn Signals Into Answers in Orbit NaviGate successfully demonstrates onboard precise orbit determination aboard D-Orbit’s ION Satellite Carrier Quantum Space Executes Launch Processing Agreement with All Points Logistics for Prime MissionMartin Fowler
Build your slide template The Craft of Practitioner Voice Are Harnesses Worth the Cost? Fragments: October 4 Principles for effective slides Bliki: Sensible Default Fragments: September 29 Fragments: September 24 Healthy Feedback I don't like LLMs Fragments: September 16 Nail the Narrative Social Media Engagement: summer 2026 Fragments: September 8 Do you even need a presentation? Bliki: Paracelsus Maxim An Accidental Blackboard Maybe We Shouldn't Be Reviewing All This Code Fragments: September 1 Making Your Data Ready for Agentic AI Fragments: August 24 Citizens Build, Agents Execute, Experts Govern Practitioner Voice: The Writing Category Nobody has Named Yet Fragments: August 18 TDD inside the agent loop - theater or actual value? Fragments: August 4 The Conductor Developer The Economic Benefit of Refactoring The Orchestrator's Tax Why I’m Writing Rachel’s RamblingsAttack Magazine
Manifest Audio Release Sonification Tools V3 As VST3, AU, And CLAP Plugins Ben Turner: “It’s A Thin Line Between True Curation And Gatekeeping” How I Play Live: Active Systems Beatport Launches Indie Tech Genre Category Synchro Arts VocAlign 7 Pro Review: Come Together Keleigh Batchelor: “Good Music Thrives On Diverse Influences” Antares Launches AutoTune Advanced Steven Braines: “Diversity Isn’t A Problem; It Can Be Powerful If You Embrace It” Mike Taylor: “Too much Analysis Causes Paralysis” Making LCD Soundsystem-Style DronesDJ TechTools
The 2026 Chroma Drive: Our New DJ USB Drive (with no cap to lose) AlphaTheta XDJ-AN: A $1,200 Standalone 2-Channel Replacing the XDJ-RR, Only Takes USB-C Drives The CDJ-1500X is AlphaTheta’s first budget-minded media player since the XDJ-1000MK2 Farewell, Juno Download Midi Fighter Utility 2.91 Is Out; Our Biggest Update in Years Engine DJ 5.0: on-board stems on the System 1, RGB waveforms for everyone Devious Pocket: a €249 open-source DVS that ditches the laptop InMusic just bought Native Instruments. So what now for Traktor?