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'Pretend I'm on the ballot' in November's elections, Trump says at Republican midterms convention - BBC Rhode Island’s Democratic governor loses primary amid anger over bridge - The Guardian Trump administration proposes changes to census that could exclude millions - The Washington Post 'The whole beach is gone': Big waves, flooding bring destruction to SoCal coast. It's a warning - Los Angeles Times Here’s How the Postal Service Could Refuse to Deliver Your Mail Ballot - The New York Times Hurricane Lowell leaves trail of destruction across Kauai - NBC News Missouri redistricting chaos returns to US Supreme Court - CNN Trump says oil prices that spiked because of Iran war likely won't come down until after midterms - AP News Iran’s Strikes on Base in Jordan Caused Limited Damage, U.S. Officials Say - The New York Times Lindsay Clancy’s sad reality after mistrial as lawyer Kevin Reddington shares her desperate pleas - New York Post Plane carrying Zelensky threatened by drone in Moldova, Norway’s premier says - The Washington Post Muted US response to UK's West Bank sanctions may reflect simmering frustration - BBC With Close Calls on U.S. Warships, Iran Shows New Appetite for Escalation - WSJ British Police Expand Investigation Into Reform U.K. After Undercover Sting - The New York Times Political world erupts as AI researchers warn of ‘extinction’ threat - The Washington Post Stock Market News, Sept. 9, 2026: 10-Year Yield Jumps as Treasury Buyback Plan Disappoints Investors - WSJ Traders Brush Aside Scott Bessent’s ‘Bet Against Me’ Tough Talk - Bloomberg.com Republican lawmakers criticize Ford business ties to China - Reuters Apple event 2026: Folding iPhone Duo, iPhone 18 Pro, added AI features and more - CNBC Apple unveils Watch Series 12 and Watch Ultra 4 with an AI upgrade that can recap your day - TechCrunch Apple debuts $129 AirPods 5 with better noise cancellation and transparency mode - Ars Technica Four Spy Groups Used the Same Chrome and Windows Exploit Kit Within a Week - The Hacker News ‘South Park’ Creators Apologize to Kendrick Lamar, Paramount for Movie’s Delay: “We Still Believe in the Project” - The Hollywood Reporter ‘I Loved Being That Girl’: Rosé Shares the Story Behind Her New Single, “New Trick” - Vogue Bruce Springsteen on His New Concert Film: ‘Our Purpose Was to Reclaim the Flag’ - Rolling Stone Gaping Hellmouth Opens Under Nicolas Cage’s Malibu Home - Vulture Live results, best moments and analysis from Seahawks-Patriots - ESPN 2026 NFL season predictions: Playoffs, Super Bowl, draft order, and individual awards - PhillyVoice LIV races to re-sign golfers to clinch $300mn bankruptcy rescue - Financial Times Champions League briefing: Ballon d’Or contenders dazzle, a 12-minute hat-trick and a two-man canoe - The Athletic - The New York Times Artemis II moonshot commander and pilot are hanging up their astronaut suits at NASA - NBC News Who were the Denisovans? Rich trove of fossils and tools paints new picture - Nature Northern Lights Alert: Aurora Could Still Reach 20 States Wednesday - Forbes NASA's newly launched Roman Space Telescope will 'directly' image exoplanets. But what does that mean? - Space Coroner releases details of infants who died amid growing Pennsylvania measles outbreak - AP News Scientists Found a Surprising Effect of Ozempic. It Involves Your Lungs - Gizmodo Scientists Who Study Sleep and Narcolepsy Win Prestigious Lasker Award - The New York Times County health officials warn about possible measles exposure at Strong's emergency department - WHEC.comBBC News
England's mayors to be given power to introduce tourist tax Iran war will not end until after November US elections, says Trump Police launch criminal investigation into Reform UK donations Air traffic failure was avoidable, says transport secretary Land in limbo: BBC visits West Bank village in area earmarked by Israel for settlement AI is becoming harder to control – can humans stay in charge? Prince William, Kane and Shearer in campaign to use sport to prevent suicide August was joint hottest month on record, says European climate agency Tax banks to give some households energy bill cut, unions tell Burnham Failures 'contributed to' death of Sir Richard Branson's wife We spent £23,000 on fertility treatment - now our embryos will be destroyed Migraines and acne among five more conditions pharmacists can treat Muted US response to UK's West Bank sanctions may reflect simmering frustration Should you sync your workouts to your period? The one thing you need to do to succeed - according to top bosses 'Farage faces Met inquiry' and 'Ready for departure?' Inside Thailand's school shooter drills following recent attacks 'It's been a nightmare': Passengers face airport chaos after air traffic issue BBC drops Drag Race UK after eight series Apple's new boss starts with big gamble on costly first folding iPhone Chaplain settles LGBT sermon unfair dismissal case 'An injustice' or 'righting a wrong': British Jews debate sanctions move Spanish intelligence warned of Ceuta mass crossing plans before surge UK needs new laws for AI in healthcare, says watchdog BBC News app Is This The Biggest Row Between Israel And The UK? Americanswers… on 5 Live! Why is Lindsay Clancy’s mistrial dividing America? Why Dolly Parton meant so much to so many around the world A vivid account of WHAM!'s legendary 1985 tour in China Arsenal are passing every test - and Odegaard is in form of his life Liverpool will reward Mac Allister if he lets his football do talking Gauff saves match points to set up Rybakina semi-final Star subs rescue Chelsea as Alonso 'takes blame' What next for LIV Golf's star players, and its fight for survival? Liverpool come from behind to beat Atletico Madrid Benn 'dragged down to pits of hell' by weight cutFinancial Times (World)
Trump promises $5,000 ‘dividend’ for US voters if Republicans win midterms Will South Korea follow through on $350bn deal with Trump? China warns bankers not to flood IPO market New AI health tools need ‘L-plates’, says UK review UK universities pledge work experience to more than 1mn students UK charges three times as much as other G7 countries for citizenship Union boss says Burnham should raise taxes on wealthy to fund lower energy bills Foldable iPhone Duo will cost $1,999 as Apple raises smartphone prices Police investigate Reform UK over donor sting Drone almost struck Zelenskyy’s plane, says Ukraine LIV races to re-sign golfers to clinch $300mn bankruptcy rescue FirstFT: Apple’s foldable iPhone Duo will cost $1,999 Top US official named to OpenAI non-profit board warns advanced AI could be ‘deadly’ Oil hits $100 for first time since July Treasury yields jump as Bessent’s $6bn buyback plan disappoints investors US spy chief prepares for greater role in Russia-Ukraine talks AI labs test the rigour of credit rating agencies JPMorgan chief Dimon meets Burnham amid Budget windfall tax fears ‘I am the house now’: Bessent warns traders not to bet against yen Number 10 backs UK air traffic control boss as airlines hit out at disruption The curse of supporting the NFL’s worst team France’s Le Pen stays silent on far-right victory in German election Serbian leader Vučić calls snap elections Adani Group plans international airports push US affordability tracker: the data that could decide the 2026 midterm electionsFinancial Times (UK)
New AI health tools need ‘L-plates’, says UK review UK universities pledge work experience to more than 1mn students UK charges three times as much as other G7 countries for citizenship Union boss says Burnham should raise taxes on wealthy to fund lower energy bills Police investigate Reform UK over donor sting JPMorgan chief Dimon meets Burnham amid Budget windfall tax fears Number 10 backs UK air traffic control boss as airlines hit out at disruption PMQs live: Burnham signals more cost of living support Mirrors are reaching new depths How to make your retirement less of a (fiscal) drag Lessons from England’s school success story Anthropic withheld latest AI model from UK testing agency McLaren to create 1,000 UK jobs in product overhaul What will the new cohabitation proposals mean for me? War and weather threaten another burst of UK inflation, BoE governor warns Heathrow and Gatwick flights disrupted by air traffic control failure UK says it will force tech giants to stop children sharing nude images Growth in every postcode: good politics, dubious economics Israel retaliates after UK bans trade with Israeli settlements in West Bank UK selects Canada’s statistics chief to run data service UK pays highest borrowing cost since 1998 at gilt sale As it happened: BoE governor warns UK inflation risks ‘on the upside’ The yawning gap between ambition and action on nuclear energy Innovation is the answer to Britain’s elusive growth problem The political challenge of Britain’s mounting debt costsThe New York Times
Apple Unveils the iPhone Duo, a Foldable Phone That Costs $1,999 How Amazon’s Zoox Is Taking On Waymo in San Francisco OpenAI Says It Has Cracked One of Math’s ‘Millennium Problems’ Anthropic Researchers Raise Alarm Over A.I. Acceleration, Warning of Threat to Humanity Why California Is Reconsidering Its Decision to Shun Nuclear Power Meta Introduces Muse, an A.I. Agent That Can Send Your Emails and Book Your Travel Apple Expected to Unveil a Folding iPhone at Annual Launch Event A Hacking Tool Built With A.I. Can Breach Phones Without a Click Key App Developers Have Yet to Embrace Apple’s New Siri A.I. Virtual Taekwondo Takes the Contact Out of a Combat Sport Early Data Indicates an A.I.-Generated Drug Could Slow Aging How a Blacklisted Chinese Tech Giant Kept Buying America’s Best A.I. Chips Authors Wrangle With Publishers Over $1.5 Billion Anthropic A.I. Settlement Kenyans Made a Living Writing College Essays. Then A.I. Arrived. The Generation That’s Never Had to Say ‘Hello?’ Court Filings In A.I. Suit Invoke Copyright Law, Culture and Sports F.B.I. Investigates Sale of Millions of Stolen Driver’s Licenses Tumbler Ridge Shooting Survivors File 30 Lawsuits Against OpenAI Corporate America Is Getting Hooked on Open-Source A.I. Tesla’s Cybercab Is Being Investigated by Federal Regulators The A.I. Mob That Attacked Hugging Face + METR’s Ajeya Cotra Why the Hugging Face Hack Should Make You Worry More About A.I. How OpenAI Limited the Probe of Its Bots’ Hack of Hugging Face Nvidia Buys Hugging Face in $12.9 Billion Deal Which Investors Will Get Rich From Anthropic’s IPO?The Guardian
Uganda to withdraw from Invictus Games ‘out of respect for King Charles’, says military chief Babies born to anaemic mothers have smaller brains, study finds Hijacking pirates exploit regional chaos to return to seas off Somalia Weather tracker: Typhoon Saudel causes mass evacuations in south-east China Egyptian TV presenter among 12 sentenced to death for drug crime Rubio says US will work with allies to stop drug-trafficking as three killed in latest boat strike Notorious Ecuadorian crime gang designated a terrorist group by US Family of British man found dead in Grenada ask local police to work with UK investigators ‘It’s hell’: father of slain Australian surfers tells Mexico homicide trial about identifying sons’ bodies US bans Canadian dairy, alcohol and motorcycles as trade war escalates Deadly Philippines ferry fire leaves scores of people missing Indonesian foragers may have sucked on mind-altering nuts 25,000 years ago, research finds Singapore boosts PM’s salary by $1m amid major pay rise for ministers Tokyo tourist hotspot bans short-term rentals amid surge in complaints Russia and North Korea open first road bridge across their shared border Australia politics live: new head of public sector union announced; Labor too slow on DV action, poll says Instagram boss says users will be ‘overwhelmed’ with brand content in algorithm-free world SMH columnist Peter FitzSimons tells Alan Jones trial alleged victim was ‘revolted’ by abuse Jacqui Lambie says Pauline Hanson a ‘bloody coward’ after One Nation cartoon calling Andrew Hastie a traitor Victoria’s koalas in chronically poor health and population is half what was previously estimated Air traffic control boss given a week to report after UK flight chaos causes 2,000 cancellations Germany’s Merz cancels phone call with Trump after social media post celebrating AfD win – as it happened Tens of thousands line the streets as Norway bids farewell to King Harald V ‘I fear the price could be high’: Inside the German state where the far-right surged Merz accuses AfD of ‘ethnic cleansing’ policy and cancels call with Trump Senior UK rabbis come out in support of sanctions on Israeli settlements ‘It’s a good start’: prominent Israelis welcome UK sanctions on illegal settlements Israel sanctions will not hurt intelligence sharing between spy agencies, says Miliband John Malkovich cancels Israel trip over fabricated solidarity quote Burnham sees sanctions against Israeli settlements as an electoral asset ‘Trust deficit’: Why India’s economic data has sparked a furore Nepal says big polluters must ‘wake up’ as it calls for climate compensation over flood disaster Two workers pulled alive from tunnel nine days after Nepal-Tibet floods Dozens of trapped hydropower tunnel workers in Nepal could still be alive, official says Barclays faces complaint over backing for power plant near world’s largest mangrove forest UK chancellor urged to remove £100k childcare ‘cliff edge’ prompting parents to cut work hours Teachers say holidays in term can be worth more than time in school Labour picks former child refugee to stand in byelection for Starmer’s seat Cities in Great Britain most vulnerable to extreme heat revealed Man in Swindon charged with assisting Russian intelligence agency Trump claims he will give $5,000 to every American if Republicans win the midterms as he defends Iran war and tariffs– live Rhode Island’s Democratic governor loses primary amid anger over bridge Democrat John Fetterman makes surprise appearance at Republican convention Lawmakers blast AI companies after researcher warns of human extinction by 2030 Anthropic researchers say AI could cause human extinction by 2030Hacker News
Training a 3.8B LLM to 0.384 CORE for $998 – Hugo Vergnes A Stupid Idea for AI Alignment We Came with by Looking at Specification Gaming Show HN: What if the speed of light was 5 km/h? Automattic's board forces CEO Matt Mullenweg into leave of absence Blizzard Workers Win Historic Union Contract Factoring RSA 260 iPhone Duo Apple Watch Series 12 AirPods 5 iPhone 18 Pro and iPhone 18 Pro Max Qwen 3.8 follows GPT-5.5 Pro reasoning prefills Growing proof that autonomous cars save lives The UN challenges five centuries of cartography Understanding the recent DDoS attack against Read the Docs GNU Radio in the browser No Man's Sky Cosmos Planet Labs' open satellite feed GPT-6 Astra, looped transformers, and hidden reasoning Shopify acquires Tailwind How I advertise malicious software on Google AdsArxiv astro-ph.HE
Rapid radio variability in the $z\sim7$ blazar VLASS J0410$-$0139: Indication of a hidden population of weak radio jets at Cosmic Dawn A Possible X-ray and Gamma-ray Quasi-Periodic Oscillation in GRB 241030A The accuracy of merger times in hierarchical black hole triples An HLLD Implementation for General Relativistic Magnetohydrodynamics in AthenaK The First Multi-Messenger Nova: External Shocks, TeV Photons, and Neutrinos in the Next Eruption of T CrB Constraining the Equation of State of Neutron Stars with third-generation Gravitational Wave detectors Detectability of bulk viscosity effects on post-merger gravitational wave signals from binary neutron star mergers Chandra X-ray imaging and IC/CMB model for the inner jet of PKS 0637-752 CoportSL: A Contribution-constrained Hybrid Slow-light Framework for Time-dependent Polarized GRMHD Imaging Possible Sources of Iron Nuclei in Ultra-High-Energy Cosmic Rays NEXUS: Transient Searches and First Results from Year One Observations LOFAR follow-up of sources in the First LHAASO Catalogue Correlation between X-ray and gamma data of Swift measurements Timing Gravity with Pulsars in the Strong Field Oblique Collision of a Relativistic Cold Shell with an Ideal Reflecting Wall Mining the time axis with TRON - III. Discovery of a nulling pulsar towards the SMC with MeerKAT A cosmic-ray database update: CRDB v4.2 Interior Magnetic Fields in Magnetars and Radio Pulsars Bridging the Population Synthesis of Supermassive Binary Black Holes and the Gravitational Wave Background Two-Phase Structure of Synchrotron-Cooling-Unstable Relativistic Plasma Abundance Stratification in Type Ia Supernovae -- VIII. The 03fg-like SN\,2012dn: a double-degenerate merger interpretation From DAMPE to LHAASO: Rigidity Scales and Composition Changes in Galactic Cosmic Rays Revisiting EBL Constraints from Gamma-Ray Observations: A Critical Assessment and Methodological Improvements Radio Emission with Dust: A Bow-Shock Interpretation for the TDE Candidate AT 2019avd SN 2025fhm: A central-engine powered Ic-BL supernova associated with X-ray transient EP250304a Near-Horizon Tidal Disruption Events Sharpening the Mass Measurement of PSR J1048+2339 via High-Cadence Photometry Nuclear equation-of-state effects on the two-dimensional post-outburst thermal evolution of magnetized neutron-star crusts Constraints on the Low-frequency Radio Emission of the Galactic FRB Source SGR 1935+2154 Supermassive black hole binaries in the multi-messenger context of ground and spaceborne VLBI Stratified Wind Geometries of GRS 1915+105: Density Profiles and Radii A Unified Timescale Relation for Quasi-Periodic Eruptions and Repeated Nuclear Transients A Two-Parameter Framework for the Diffuse Supernova Neutrino Background Compton-induced HE -- VHE $\gamma$-rays from pair cascade emissions in the SEDs of radio galaxies: NGC 1275 Enabling new sampling strategies for continuous-wave analyses by integrating Bilby into PyFstat Phase-Resolved Ultra-High-Energy Emission Defines an Energetic Boundary for Compact-Object Engines and Dense-Matter Structure Strong Polarization Signatures from Magnetically Stabilized Luminous Thin Accretion Disks Resolving structure within the iron line profile of Serpens X-1 with XRISM and NuSTAR Detection of episodic Ultra-fast Outflows in the Low-luminosity quasar Mrk 205 using XMM-Newton data Wolf-Rayet stars and black holes: mass distributions and evolutionary connection Hierarchical Inference of the Supermassive Black Hole Binary Merger Rates from Joint Searches using Pulsar Timing Arrays BCDDM: Branch-Corrected Denoising Diffusion Model for Black Hole Image Generation The youngest white dwarf companion to a millisecond pulsar: Insights from NGC 362D Effective Field Theory of Gravity in Relativistic Media Hadron resonance gas with density-dependent interactions for neutron stars and heavy-ion collisions Magnetically Confined Mountains on Accreting White Dwarfs Physics-based phenomenological modeling of binary black hole hierarchical formation 1: Synthetic universes from globular cluster simulations for GWTC Connecting the little dots in polarized light IPHAS J190812.63+045728.1: A deeply eclipsing, X-ray bright cataclysmic variable with frequent outbursts Physics-based phenomenological modeling of binary black hole hierarchical formation 2: Autodifferentiable functional inference of hierarchical compact-binary populations Solar Capture Tests of Inelastic Dark Matter after the LZ High-Recoil Event Multimessenger Spectroscopy A New Window for Testing the PPN in the Strong-Field Regime: Stellar Rotation of S301 Exact Cancellation of Horizon Modes in Kerr Ringdown Approximating the statistics of a gravitational wave background Search for Long-Transient Gravitational Waves from Supernova SN2023ixf using GFH-v2 Pipeline A New Sample of $\sim$ 100 Intermediate-mass Black Holes Reaching $z \approx 1$ An EOS-Driven Extension of NSCool for Compact Star Cooling with Hadronic and Quark Degrees of Freedom A pilot submillimeter search for IceCube neutrino counterparts: JCMT follow-up and dusty-galaxy catalog associations Nonradial oscillations of realistic anisotropic neutron stars: Polar modes SN 2024afyu interpreted as a Pair Instability Supernova The Association of Solar Radio Bursts with Eruptive and Confined Flares Low-Redshift Interlopers in the SDSS DR16 $z > 5$ Quasar Catalogue A Missing Tool for Calculating Auto/Cross-correlation Function under Nonuniform Sampling Observations Axion Hair and Pulsar Electrodynamics: modelling, discharge dynamics, and particle-in-cell simulations How strange: Phase diagrams with 3 critical points A Vector-Like Lepton Interpretation of the High-Energy Nuclear Recoil Candidate in LUX-ZEPLIN NRHJSur3dq8: a spectral numerical-relativity surrogate family for non-eccentric aligned-spin binary-black-hole waveforms Decoding FRB Energetics and Frequency Features Hidden by Observational Incompleteness From Localization to Discovery: Bayesian Ranking of Electromagnetic Counterparts to Gravitational-Wave Events Particle Acceleration in Magnetized Shear-Driven Turbulence Investigating IceCube Neutrino Alerts with the HAWC $\gamma$-Ray Observatory Thermalization of Neutrinos in a Neutron Star Merger Simulation On the angular localization of gravitational-wave signals by pulsar timing arrays Systematic Monitoring of Extreme X-ray Variability from Weak-line Quasars Binary Evolution Can Mimic the Pair-Instability Mass Gap in Black Hole Mergers Numerical Studies of Accretion Flows onto a Neutron Star Engulfed in a Massive Star Constraining the Supernova Remnant Environment of FRB 190520B with Dispersion Measure and Scattering Timescale Stellar black hole binaries from two common envelope evolution phases in triple stellar systems Multi-messenger View of White Dwarf Tidal Disruption Events by Intermediate-Mass Black Holes: I. Gravitational Waves and Disk Photon and Neutrino Emissions Hamiltonian variational reconstruction of the 3D magnetic geometry of relativistic jets: accuracy across GRMHD models and the fundamental sign degeneracy HAMCOR: A physics-driven Hamiltonian framework for inferring AGN coronal geometry from X-ray reverberation lags Long-lived intermittent accretion disks in the jittering jets explosion mechanism (JJEM) of core-collapse supernovae Diverse Morphologies of GRB X-Ray Plateaus within a Common Magnetar Framework Optical Images of the Braneworld Black Hole Surrounded by an Optically Thin Accretion Disk Transmutation Timescales for Dark Matter Induced Collapse of Compact Stars into Black Holes Population-Level Verification of the Black-Hole Area Law with First- and Second-Generation Black Holes Testing the QGP Star Hypothesis: The oMEGACat BH-2 System as a Candidate Color-Superconducting Quark-Gluon Plasma Star Optical Discovery of New and Candidate Galactic Supernova Remnants Plus Optical Imaging of the Monogem Supernova Remnant Constraints on Buchdahl-Inspired Gravity from Future Pulsar Timing near Sgr A* Multi-epoch Detection of an Ultra-fast Inflow in ESP 39607: Evidence for an Accretion Cascade Constraining Dark Photon Dark Matter with Radio Silence from Soliton Mergers around Supermassive Black Holes Constraints on light QCD and CP-violating axions from the death line of rotation-powered pulsars Accurate neural network emulator for primordial light element abundances Probing Dark Matter annihilation in the Galactic Centre with TRIDENT Revisiting $^7$Be Weak and Radiative Transition Rates in Big Bang Nucleosynthesis: Implications for the Primordial Lithium Problem Stellar-mass black holes in young massive and open stellar clusters -- VII. Comparisons with gravitational-wave events until LVK-O4a and Gaia compact binaries WIMP Dark Matter Searches in Reticulum II Using MeerKAT Little red dots as obscured little blue dots: relative abundances, luminosities, and black-hole masses Halo-driven Origin and Evolution of Overmassive Black Holes and Little Red Dots Hydrodynamical mass-loss rates for Very Massive Stars II. New theoretical mass-loss predictions at solar metallicity (Z = 0.02) Non-Thermal Pressure due to Gas Motions in the Intracluster Medium: Confronting XRISM/Resolve with TNG-Cluster Simulations Massive cold hybrid stars in a modified Polyakov-Nambu-Jona-Lasinio model Generative artificial intelligence for reconstructing neutron-star matter Rapid Growth of Intermediate-Mass Black Holes through Disk-induced Stellar DisruptionsArxiv cs.LG
AhaBench: Do Agents Learn from Prior Experience? A Benchmark for Long-Horizon Continual Learning When Do Options Help? Policy Necrosis and Redundant Coverage in Option-Critic Multi-granularity Adaptive Hypergraph Representation Learning via Granular-ball Capsule Lens: Locating and Tracking Concept Geometry in Model Representations HB-PVI: A Hierarchical Bayesian Personalization and Value-of-Information Framework for Complex Activity Recognition Endogenous Exploration in Reinforcement Learning with Intrinsic Curiosity Robustness of LLM-Generated SystemVerilog Assertions to Semantics-Preserving RTL Transformations PAC-Private Autoregressive Generation: Calibrating Noise to Ensemble Disagreement Connecting Score Matching, Maximum Likelihood, and Expectation-Maximization in Mixed Linear Regression GraphNOSE: A Graph Transformer in Olfaction Analysis of Respiratory Sinus Arrhythmia with Neural Networks Newton Matching for Generative Modeling: A Unified Framework for Fine-Tuning and Sampling A Multi-Source Ensemble Approach to Candidate Generation for Alternative Vacation Rental Property Recommendations Data Scout: Targeted Web Crawling for Domain-Specific Pretraining Corpora RAPTOR: Role-Aware Private Training for Mixture-of-Experts Nonlinear elliptic homogenization with the parametric Deep Ritz method Online Learning with LLM Experts from Limited Feedback Generalizing HVAC Control With Domain Randomized Reinforcement Learning Scaling Optimal Classification Trees via Adaptive Feature and Sample Reduction SAFEGuard: Detect Optimization-Based Jailbreak Attacks Through Harmful Semantic Analysis and Fluency Measurement Selective Posterior Margin Regularization for Forward-Corrected Classification Beyond Arbitrary Geometry: Topology Generalization In neural PDE Operators Budgeted Task-Aware Acquisition of Dynamic Networks A budget-dependent crossover between coverage- and response-based training-set selection for machine-learned interatomic potentials Grounded and Faithful P&ID Reasoning: Constraining Vision-Language Models with Recovered Evidence Graphs CALM: Class-wise Agreement and Label-gated Disagreement Modulation for Decentralized Federated Learning One Rate Is Not Enough: Adaptive Anisotropic Learning Rates for LoRA Fine-Tuning A First-Order Learning Algorithm for Online Resource Allocation with Constant Regret A dictionary learning framework for graphs via filters and optimal transport Rethinking the Evaluation of Efficiency Methods for Multi-Agent Systems Interpretable and Fair Generalized Additive Neural Networks via Multi-objective Learning QGB-W$k$NN: Quantum Granular-Ball Learning for Robust Classification LoGIC: Budgeted Context Construction for Node-Level Graph In-Context Learning with Tabular Foundation Models On-the-go Forgetting without Explicit Unlearning via ERASE Machine Learning for Pre-Culture ESBL Risk Stratification to Guide Empiric Antibiotic Selection: A 12-Hospital Study of Enterobacteriaceae Cultures DART: Distributional Adversarial Recurrent Training for Algorithm Learning Memory in Deep Time-Series Models Granular-Ball Quantum Clustering for Resource-Efficient and Robust Learning IXPLORE: Bounded Ideal Point Estimation with Grid-Based Uncertainty Quantification Minimizing the Effect of Sleep Deprivation in the Forward-Forward Algorithm Data Quality Rule Generation with LLMs Calendar-SPCA: Interpretable Representation Learning for Multi-Periodic Electricity Consumption Profiles ACE: Adapter Consolidation across Experts for Parameter-Efficient Fine-Tuning of MoE LLMs FedSubMuon: Communication-Efficient Federated LLM Fine-Tuning via Structured Subspace Muon Beyond Retraining-Free MoE Compression: A Cost-Normalized Study of Post-Compression Adjustment PhenoBench: Mapping What a Deeply Phenotyped Human Cohort Can Tell Us Learning to Price and Stock Under Contextual and Censored Demand Connectome-to-Function: Conditional Generative Latent Representations for Reservoir Computing VERPO: Verified Evidence Regularized Policy Optimization FANS: Federated Adaptive Network Search Learning for Heterogeneous Devices DataFlex-RL: An Evaluation Platform for RLVR Data Policies Sparse Incident-Cluster Learning for 12-hour Port Flood Pre-warning in Digital-Twin Analytics Compressed Recurrent Feedback in Tsetlin Machines: A Reproducible Boolean-FSM Study Rethinking One-Shot Federated Graph Learning: Training-Free Statistical Estimation All for 1-Bit: Towards Genuine 1-Bit Post-Training Quantization for LLMs Decision-Aware Suffix Prediction and Reasoning of Business Processes FMMO: Detecting the Divergence Between Local Attribution and Global Drift Spectral Prioritized Sweeping in Nonstationary Reinforcement Learning EgoNeMo: Transferable Map of Pedestrian Dynamics via Egocentric LiDAR Scan SeaCausal-FL: Federated Fuzzy Causal Learning for Maritime IoT Fault Diagnosis and Counterfactual Reasoning Representation Learning for Sample-Efficient CATE Estimation by Leveraging Multiple Outcomes Linear Algebra Foundations of Efficient Attention: A Phase Reversal in Rank Collapse Under SVD Compression Robust Dynamic Expansion for Continual Learning under Backdoor Attacks via Purification and Selective Recovery Robust Conformal Consensus: Multi-Agent LLM-as-a-Judge Interval Evaluation with Conformal Prediction Parameterized and Streaming Algorithms for Euclidean Fair $k$-Center Clustering Are Verifier Errors Independent Within a GRPO Group? Evidence from Qwen2.5 Rollouts MetaRSI / RSI2: A Meta-Recursive Self-Improving System for Recursive Self-Improving Systems Themselves On BatchNorm Forward Modes in Value-Based Reinforcement Learning Sparse Oblique Rule Boosting for Simpler Additive Rule Ensembles Stability and Generalization of Straight-Through Estimators for Training Two-Layer Quantized Neural Networks A Theoretical Framework for Masked Pretraining (MPT) Local and Global Stability in Performative Reinforcement Learning Sector-Mean: Deterministic Initialization of K-Means Centroids via Angular Sector Partitioning One Step, One Lead: Mitigating Higher-Order Interference in Multi-Domain Reinforcement Learning via Cross-Step Control Steering Under Compression: Dose-Response, Capability Cost, and Failure Asymmetry in Quantized LLMs Learning Kernels by Alignment for Multiclass Bayes Classification How Does Parameter Pruning Reshape DNN Representations? An Interaction-Driven Exploration Second-Order Smooth Planning with Optimal-Transport Bellman Smoothing Power Mean Estimation in Stochastic Continuous Monte Carlo Tree Search Structural Entropy-Driven Graph Diffusion Generation for One-Shot Federated Graph Learning Bi-HYCO: Bi-Objective Cooperative Learning for PDE Parameter Identification under Fragmented Observations Model-Adaptive and Risk-Constrained Frequency Hopping Against Predictive Jammers Role-Specific Predictive Geometries for Nonstationary Multivariate Graph-Signal Forecasting Not Just Oversmoothing: Detecting the Echo Chamber Effect in Graph Neural Networks Hidden in Plain Sight: The Overlooked Significance of Canonical Elements for Extreme LLM Sparsity Layer-Wise Gate-Controlled Prompt Truncation in a Multimodal Chest X-Ray Classifier Deep Barycentric Regression for Optimal Transport Map Estimation and its Statistical Optimality A Statistical and Machine Learning Framework for Quantifying Offensive Impact in Professional Box Lacrosse Inducing Emergent Misalignment from Reward Hacks with Iterative DPO SwiftExplorer: Training-free Diffusion Model Alignment with Swift Diversity Exploration Assessing Covariate-Informed Grid Load Forecasting with a Time-Series Foundation Model Behavioral Cloning Outperforms Entropy-Regularized RL: Critic-Driven Failure of Actor-Critic Methods on Adaptive Tumor Treatment Towards Unified Multimodal Graph Foundation Model: A Bridge-Router-Adapter Based Approach Data Efficient Sample Selection for In-Context Learning Tracking the Moving Frontier: Long-Short Term Advantage Estimator LATS: Levy Adaptive Tree Sampling for Feedback-Driven Diverse Target Discovery DrugReason: Dynamic Multi-View Reasoning over Knowledge Graph and Language Evidence for Drug Repurposing When Retain Constraints Conflict: Mitigating Forget-Retain Interference in Tabular Data Train Smarter, Not Harder: Switching Signal-Guided Training in Active Learning Constrained Bayesian Optimization for Hierarchical Federated Learning in IoT Networks for Plant Disease Classification Feature Superposition in Neural Networks: From Theory to Practice PPIM: Pennes Physics-Informed Mamba for Heat-Source-Conditioned 3D Bioheat Simulation Exact Record Omission in Delta Attention: A Transport Criterion, Its Cost, and a Replay Certificate Learning Adaptive SED for heterogeneous load balancing Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning From Synthetic Priors to Model Behavior: Structural Coverage in Tabular Foundation Models Constrained Online Learning with Noisy Constraint Values The Geometry of Refusal: Why Post-Hoc Safety Is Fragile and Pretraining-Time Safety Persists PCSDiff: Diffusion-Based Bias Correction and Super Resolution Toward Practical Operational Medium-Term Precipitation Forecast Particle Dynamics of Flow Matching and Classifier-Free Guidance from a Stagewise Geometry Perspective Steering Interference Reflects the Model's Defaults, Not the Behavior Directions MOLE: Detecting Insider Threats in AI Agents HealthLoopQA: A Context-Aware Question Answering Benchmark for Interpreting Wearable Monitoring Data in Diabetes Care AF-Mamba: Efficient Long-Term Signal Modeling for Early Prediction of Atrial Fibrillation Onset Continual Learning Mechanisms Compose for Long-Horizon Memorization NeuCME: Toward Dynamic Multimodal Continual Learning via Neural Combinatorics of Multiple Experts HyperTransfer: Understanding the Equivalence between Base Optimizer and Hyperball Efficient Learning and Symmetry Discovery under Exact Invariances Disentangling Steering Vectors AI and TCAD for Inverse Design and Defect Discovery: From Simple Machine Learning to LLM TrojanWorld: Backdooring World-Model Agents via Imagination Steering PhysSAE: Mechanistic Interpretability with Sparse Autoencoders Trust-But-Verify: Poisoning-Resilient Locally Private Graph Learning Protocols Conditioned Initialization for Attention Temporal Heterogeneous Graph Transformer for Credit Card Fraud Detection Online Draft Co-Training for Speculative Decoding in Large-Scale, Long-Context RL Post-Training Fine-grained Distributed Backdoor Attacks in Federated Learning Stable-MM-R1: Anchoring Multimodal Reasoning Dynamics via Entropy-Guided Stratification The Oversight Gap: What LLM Safety Monitors Miss, and Why It Is Not Capability FedRAW: Preserving Rare-Label Influence in Asynchronous Federated Learning Protocol effects on feature-based hardware-Trojan detection across Trust-Hub families REFINE: Trajectory Representation Learning via Closed-Loop Transcription -- Extended Version Robust Decentralized Federated Distillation via Multi-Modality Knowledge Collaboration Parallelism Strategy Chaining for Fast Training Convergence Kolmogorov--Arnold stability for discontinuous functions Dense Structural Compression of Transformers via Gauge-Correct Channel Removal Constitutive State-Space Modeling of Path-Dependent Plasticity: A Resolution-Consistent and Parallelizable Computational Framework PCFlow: Physics-Conditioned Flow Matching for GPR B-Scan Image Synthesis Long-Horizon Language Model Reinforcement Learning via Progressive Point Matching Robust Decentralized Personalized Federated Learning via Prediction-Constrained Neighborhood Collaboration Inferring Urban Mobility Interactions from Aggregated Dynamics Think Wider: Mitigating Latent Rank Collapse in Implicit Chain-of-Thought Reasoning Impact of canny edge detection preprocessing on performance of machine learning models for Parkinson's disease classification Revisiting Thinning Methods for Kernel Learning Problems TabBench-Bio: A Living Benchmark for Machine Learning on High-Dimensional Biomedical Tables TASTE: Throughput-Aware Batch Size Tuning for On-Device Edge Learning Temporal-Causal Inference for Reinforcement Learning via Automata Learning Improving Multivariate Time Series Classification with Class-Wise Training and Model Aggregation Statistical versus machine learning-based spatial interpolation of post-processed ensemble weather forecasts CoRL: Co-Evolutionary Reinforcement Learning for Adaptive Indirect Prompt-Injection Attacks and Defenses No-Regret Mixing of LRU and LFU with Optimal Switching Cost Efficient Exploration Is Enough I Don't Miss You, but I Do: Self-Explanation Faithfulness of Modality Missingness in Vision-Language Models Beyond the Matrix Sign: Quadratic Spectral Descent CLUES-WEASEL: No additional clues required to choose your time series clustering algorithm Translation of Black-Box Clinical Prediction Models into Standalone Transparent Nomograms: Temporal External Validation in Heart Transplantation Forecasting the Winner of a Live Tennis Match Online Surrogate Repair: Decoupling High-Fidelity Feedback from Search Length in Closed-Loop Discovery Accuracy is Not Enough: A Divergence-Based Approach to Evaluate Fidelity Loss in Quantized LLMs MpSub: A Momentum $p$-Dimensional Subspace Trust-Region Method for Derivative-Free Fine-Tuning of Large Language Models On the Recall Scaling Laws in Mamba: A Theoretical and Mechanistic Study via Hashing Emergent Charging Coordination in Electric Delivery Fleets ParetoTransport: Generative Optimization by Mass Transport Toward The Pareto Front Attributing Cohen's d: Training Data Attribution for Disease-Related Effects in Normative Age Biomarkers Guiding Worker Self-Selection in Crowdsourcing Contests: An LLM-Augmented Algorithmic Approach Local gradient neural operator A Theoretical Analysis of Generalization Dynamics in Neural Networks under Gradient Descent with Weight Decay Decomposition-Guided Diffusion Language Models for Inertial Confinement Fusion Prediction Latent-MoE: Domain-Aware Mixture-of-Experts for PDEs with Multi-Regime Physics Kalman Delta Networks: Uncertainty-aware Associative Memory Foundation Models for Generalizable Semantic and Goal-Oriented Communication InfluenceField: A Differentiable Field with Interventionally Identifiable Causal Structure for Multimodal World Modeling The Accuracy Paradox: Empirical Diagnostic of Default Decision Thresholds in Multi-Label Enzyme Commission Prediction [With Code] AVCG: A Generalized Variational Framework for Counterfactual Generation under Hypothesis Distributions Prevalence calibration as shortcut mitigation Structured Extrema Errors in Classical Surrogates for Viscous Burgers: A Physics-Consistent Interpretation Streaming Hierarchical Inference with Tabular Foundation Models $\alpha$-Graph: Attention-Infused Normalizing Flow Approach to Tractable Graph Modeling MetaKV: Adaptive KV Cache Compression for Constrained LLM Inference Heat Field Signatures: From Point Clouds to Smooth Geometry Semi-Supervised Learning under Spatially Biased Sampling Solving the Elastic Wave Equation with Physics-Informed Neural Networks: A Robust and Critical Assessment Automated Chest CT Protocol Selection via Large Language Model Derived Text Embeddings from Imaging Request Text HyCO: A Hybrid Neural Solver for Combinatorial Optimization Sharp Structure-Agnostic Minimax Risk for Partial Linear Models Two-Scale Localized PCA-Net: Coarse-Global and Local-Residual Representations for Artifact-Reduced PDE Operator Learning Risk-Conditioned Fine-Tuning of Large Language Models A Machine Learning Framework for Predicting Restaurant Food Waste to Support Sustainable Food Management Proactive Context-Forecasted Safety Constraints for Nonstationary Reinforcement Learning Learning Metamaterial Eigenmodes with Wavelet-Encoded Fourier Neural Operators Nystr\"om Attention Matches Full Attention for Cross-Sectional Stock Prediction Sparse Data Augmentation for Optimization with Provable Guarantees KBBQ: A Predictive Noise Law and the Limits of Spectrum Flattening in FP4 Quantization GPU-Enabled Large-Scale Optimization Using Randomized Linear Algebra Topology-induced Operators Reveal Complementary Graph Representations without Training Geodesic-informed Generative Diffusion Model For Topology-preserved Image Video Generation SIM: Subspace Interaction-based Method for Token-Level Text Anomaly Detection CUNO: Curriculum and Preference Optimization for Stable Graph Unlearning under Mass Deletion Revisiting Spectral Representations in Generative Diffusion Models Synergistic Fusion of Topological Structure and Temporal Semantics of Mobility for Urban Region Embedding Online Signature Verification Using Augmented Path Signature and T-Mamba Adaptively Incorporating Directional Hints into Zeroth-Order Optimization HypLTSF: A Hyperbolic Geometric View of Multi-Scale Hierarchies for Long-Term Time Series Forecasting EMBLEM: Enhancing Multi-script Table Detection through Masking Distillation as Probability Transport: Routed On-Policy Distillation TV-Regulated OPD: Direction Matters in On-Policy Distillation Geometry-Aware Bayesian Parameter-Efficient Fine-Tuning on the Stiefel Manifold via Stein Variational Gradient Descent Miles v0.1: Production-Level Post-Training IPM-FM: A Foundation Model with Consensus Feature Selection for Industrial Process Monitoring Geographically Regularized AUC-Maximizing Personalized Federated Learning Equivariance Breaks the Learning Rate MLIP Detective: Active Failure Mode Discovery Beyond Benchmark Scores for Machine-Learning Interatomic Potentials Environments as Scaffold: Enriching Feedback to Bootstrap Self-Evolving Agents in Long-Horizon Tasks Stochastically Perturbed Weights: Ensembles from Deterministic Machine-Learning Weather Models Topological Fraud Detection in Latent Transaction Spaces Not All Variables Agree: Reliability-Aware Variable-Wise Gradient Surgery for Multivariate Time-Series Forecasting Certified Topological Interaction in Neural Representations: Class Disentanglement Is Mostly Pairwise AlphaRJM: Reward-Jump Memory for Stochastic Return-Guided Alpha Discovery Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings Multi-Level-Set-Based Physics-Driven Neural Network to Solve 3-D Inverse Scattering Problems Why shared attention vectors fail: a case for outcome-indexed tuning Target-Independent Micro-Interventions for Predicting Training Response Across Language-Model Families Leveraging contextual events on structure-aware next activity prediction Suan: Rectifying Direct Preference Safety Alignment in Large Language Models SUN: Reaching for Novelty in Reinforcement Learning Difficulty-Adaptive Tree-Structured Policy Optimization for Expanding Reasoning Coverage in RLVR MoEMB: Scaling Universal Multimodal Embeddings with Efficient Mixture-of-Experts Models Neither Adversarial Training Nor Purification: Emergent Adversarial Robustness from Oscillatory Predictive Learning HOPE: Heterophily-Aware Open-Set Node Classification with Pseudo-Extrapolation Hyperparameter Scaling Laws Across MoE Sparsity Chimaera: A Mixture-of-Graph-Experts Architecture for Cross-Task and Cross-Dataset Graph Learning BAFF: Bid-Aware Filter Family for Mitigating Training Data Interference in RTB A/B Tests PAC-Bayesian Bounds for Learning Partially Observed Stochastic Linear Time-Invariant State-Space Systems with Inputs and Sub-Gaussian Noise Adaptive Anisotropic Attention for Axis-Structured Signals Eliciting Weak-to-Strong Generalization with On-Policy Reverse Distillation Length Generalization for Transformers via Compression Earth System World Model for What-If Simulations: A Case Study for Terrestrial Ecosystems The BatchNorm Illusion: Diagnosing Normalization Artifacts in Machine Unlearning Evaluation GraphFAS: A Distributed System for Automated Graph Feature Generation and Selection in Industrial Transaction Networks Transformers as In-Context Samplers: From Closed-Form Diffusion to Estimation-Free Sampling Physics-Informed Deep Learning for False Ventricular Tachycardia Alarm Reduction in the ICU Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks Do Reasoning Representations Help Humans Evaluate LLM Outputs? Training-Free Task Vectors for LLM Behavioral Control PlayTrain: An Efficient Reinforcement Learning Framework for LLM-Generated Adaptable JavaScript Games Multi-Task Learning for Sparsely-Labeled Time Series: A Case Study on Cold-Hardiness Modeling ThinkPrior: Zero-Rollout Difficulty Priors for Cold-Start Prompt Selection in RLVR Curriculum Learning as Transport: Understanding Curricula with Wasserstein Geodesics When Does Scale-Invariant Optimization Become Unstable? An Exact Schedule Law with Weight Decay Nearly Tight Rademacher Bounds for Sparsely Activated Neural Networks Entropy-Regularized Rank-Masked Policy Optimization for Test-Time Reinforcement Learning in Code Generation NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting Learning Length-Extrapolatable Recurrent Models Data-driven rational function neural networks: a new method for generating analytical models of rock physics Benchmarking Storage Systems for Machine Learning Workloads Using NIO Bench Novel hybrid protein scaffold gap filling using weighted machine learning ensemble, beam search, and mass-constrained reranking Representation learning of human cortical folding to reveal long lasting neurodevelopmental signatures Damage-Aware Bandit Pruning for Vision and Language Transformers ZetaDial: dialing net charge of protein binders at inference time for therapeutic developability Condition aware learning enables robust prediction of oligonucleotide melting behavior across diverse chemistries and assay conditions ARC-Bench: Closed-Loop Replanning Masks Broken Action Ranking in Frozen JEPA World Models Architectural and Regularization Components in Deep Learning Medical Image Registration: Systematic Ablation Study Asymptotically-informed neural networks for Black-Scholes implied volatility computation When and What to Teach: Budget-Aware Online Adaptation for Web Agents An Exploratory Study of Frequency-Aware Task Weighting for YOLOv8-Based Unified Driving Perception Contrastive Knowledge Distillation for Anomaly Detection in Multi-Illumination/Focus Display Images Infrastructure-based Monocular 3D Vehicle Localization Framework with Experimental Validation A Specialized Large Multimodal Model for Interpreting PET/CT in Head and Neck Cancer SimpleMemVLA: A Simple but Effective Native-Video Memory for Vision-Language-Action Models Physics-Informed Neural Networks for Depth-Averaged Granular Avalanche Dynamics on Curved Topography Rollcast: Proper-Score Gated Rolling Anchors for Adaptive Probabilistic Time-Series Forecasting Toward Sustainable Distributed LLM Inference: A Systems Synthesis and Research Agenda for an Energy-, Carbon-, and Cache-Aware llm-d Control Plane Deep belief networks are exact A Nuclear-Norm Lower Bound for Dithered Scalar Quantization of Matrix Products Srijika: OpenType-Layout-Reusing Font Restyling for Nine Indic Scripts Characterizing Privacy Risks of Quantum Machine Learning with Emergent Quantum-Native Access CUSP: Decomposable Collective Uncertainty for Multi-Agent Multimodal Reasoning Tight Lower Bounds for State Tomography with Limited Entanglement RenderFormer-V2: Neural Rendering with Heterogeneous Scene Primitives Gaussian Linear Functional Manifold Method for Massive Point Cloud Data AAMBERS-UAV: Acquisition-Aware Multimodal Backbone Evaluation and Ranking for UAV Weedy Rice Segmentation Diagonal Attenuation: A Finite-Sample Correction for PCA Physical policy gradient theorem for in situ stochastic-adjoint training Do Quantum AIs Dream in Paths? Path-Integral Slow Thinking through Grover Interference Functional Attentive Interpretable Regression SLA-Safe Energy Control for AI-Native NG-RAN Using Stability-Aware Constrained PPO Broken on Arrival: Silently Defective LLM Artifacts in Public Model Registries and How to Catch Them Polarity-Asymmetric Structural Calibration for Link Sign Prediction From Narrative to Auditable Forecasts: A Structured Scaffold for Agentic Forecasting Structurally Close, Temporally Distant: Measuring Security Exposure in Long-Horizon LLM Agents Accelerating Diffusion Transformers with Gaussian Process Rectified Feature Cache MOAE: Multi-Objective Agent Evolution with Pareto-Preserving Search ModularPhaseNet: Finite-Cyclic Phase Geometry for Computable Semantic Hierarchy, Direction, and Context Consistency in Standard Transformers Cadence: Error-Bounded Lossy Compression of Demand Time Series with a Time-Series Foundation Model FALCON-S: Fixed-wing ground-effect Aerodynamics Simulator and Flight Control Learning Suite GradeTrap: Authority Cues in Images Shift VLM Judgments Despite Explicit Instructions to Ignore Them LayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies Causal DAG Identification for Count Data via Poisson Thinning Structural Equation Models Programmable Cellular Automata IIns-VAE+: A Robust Transfer Learning Framework for Environmental Identification in Wireless Sensing Counter-Swarm Doctrine: Containing Coordinated Agent Intrusions What the Window Does Not Contain: Auditing Provenance in a Document-Grounded Instability Benchmark Recovering linear images of sparse signals from indirect observations SolarBench: A global solar energy nowcasting benchmark Predicting Wind Turbine Power Using Machine Learning and Weather Forecasts Fast PAC Global Optimization via Restarted Langevin: Exploration, Exploitation, and Degenerate Cooling Spatial Attention Supervision for Defect Localization: Exploiting Ground-Truth Masks as Training Signal in Diffusion-Augmented Defect Detection Robust conditional dimension reduction for dissimilarity data Steering Geometry: Validating Human Value Geometry in LLM Steering Space Hierarchical Fourier Approximation for Variational Quantum Distribution Learning Deep learning from the crowd Fundamentals of morphological galaxy classification One Shared LoRA Weight for MRI Reconstruction across Acceleration Factors AGSA-Net: Abundance-Guided Self-Attention Network for Spectral Unmixing-Aware Hyperspectral Remote Sensing Image Classification Recovering Weak Signals with Normalizing Flows Beyond Worst-Case Coreset Bounds for $k$-Clustering via Determinantal Sampling Separating Capability from Confidence: Grounded Dual-State Calibration for GRPO-Trained Medical Vision-Language Models Large-Scale Pretraining for Improving Deep Learning-Based Geometric Distortion Correction of Diffusion-Weighted Imaging Decomposing LLM-Judge Uncertainty to Target Expert Labels OracleZoom: On-Policy Self-Distillation Inspired Reference-Constrained Recursive Image Super Resolution Introductory Notes on Learning$^2$ EStream: Fast and Memory-Efficient MoE Prefill through Expert Virtualization on Mobile NPUs MARBO: Relational Belief Grounding for LLM Agents in Social Deduction Games Stochastic Nonconvex Bilevel Optimization: Improved Rates Without Rare-Visit Assumption Certifying cooperation: a novel approach to cooperative multi-agent task generation Discovering Translation-Worthy Languages with E-Values CAVEAT: Recurrent Multimodal Diffusion Planning for Mapless Aerial Exploration TD-STGT: A Spatio-Temporal Graph Transformer for Mobile Traffic Demand Forecasting RoPE attention is an exact forward-pass gradient step with softmax intact Likelihood-Based Unsupervised Anomaly Detection in CMS Dijet Events Attention-Enhanced Deep Features with Heterogeneous Ensemble Learning for Glaucoma Detection Reason Through the Latent! Making Latent Visual Reasoning Necessary CAROL: Context-Aware Online Learning for Fuzzer Scheduling Hardware Trojan Threats to Multi-Chiplet Photonic Neural Network Accelerators Formation of structural attractors in neuromorphic systems BinauralVAE: Spatial Audio Reconstruction For World Models Large Classification-Risk-Optional Label Acquisition Contextual Observer Grounding: Evaluating Situated Spatial Reasoning in Vision-Language Models Towards Bridging the Gap Between Offline and Iterative Alignment via Preference Distillation Dynamic-Programming-Guided Hierarchical BPE and Empirical Analysis of Vocabulary Pruning Accelerated High-Accuracy Sampling from a Warm Start via the Proximal Bouncy Particle Sampler Smoothed Picard Hamiltonian Monte Carlo Distributed Dexterous Manipulation with Spatially Conditioned Multi-Agent Transformers AgentDrift: A Step-Labeled Benchmark of Injection-Hijacked LLM Agent Trajectories Input-to-State Stability Framework for Fully Distributed Primal-Dual Dynamics for Quadratic GNEPs Without Multiplier Consensus LatentMD: Benchmarking Markdown Boundary Failures in LLM-Generated Text AstraMoE-SR: Trajectory-Guided Diffusion for Blind Satellite Jitter Deblurring and Super-Resolution Aha-Flow Distillation: Flow Markers Matter in LLM Reasoning Detect Anything in Graphic Design: Element-Level Rewards for Autoregressive Detection Beyond Task Success: Stage-Wise Reliability of World Model Planning under Sensing Degradation EEG-Driven Decoding Framework for Passenger Hazard Perception in Highly Automated Vehicles Mind the Approximation: Fisher-Weighted SVD Compression for ViTs CircuitLens: Reasoning Circuits as Data Selection Signals for Reinforcement Learning with Verifiable Rewards Tensor network representations of discrete maximum entropy distributions via mean polytopes Iterative Audio Separation with Mixture Consistency via MIMO Model Extension Matryoshka Hash Representations for Model-Aware Compact Semantic Retrieval Content-Based Addressing for Long Context Distributed Lag Neural Additive Models Riemannian Optimization for Multi-Player Quantum Games on Product Unitary Manifolds Federated Binary Gating with Server-Side Vision-Language Inference for Surveillance Anomaly Classification RAFM-SER++: A Lightweight Multimodal Emotion Recognition Framework for Real-Time Behavioral Monitoring in Surveillance Systems Multi-label versus multi-class classification of blood cells and their aggregates in microfluidic channels RelightFormer: Feed-forward Generative Transformer for Multiview Object Relighting Masking Radar Cognition under Adversarial Surveillance: A Distributional Privacy Framework A Systematic Analysis of Automatic Differentiation versus Discretization-based Constraints for Physics-Informed PDE Solvers Parser-Free VLM Verification for Federated Weakly Supervised Video Anomaly Detection Graph neural networks and the energetic cavity method for combinatorial optimization Latent-to-Latent Flow for Volumetric Stochastic Segmentation Generation of Vectorized Maps Beyond Vehicle View Heat Kernel Textures: the Geodesic Gaussians That Do Not Splat SeisBench DAS: A machine learning framework for Distributed Acoustic Sensing EigenLI: Spectral Approximations to Late Interaction Norms at a Price: Why RL-Based Alignment Can Promise Conditional Compliance at Best The Art of Hierarchical Competing Patterns: Gaussian Process Optimization of Hyphenation Spatial Feature-wise Linear Modulation (SpFiLM) for Contrast Agent-Aware Brain Parcellation Sub-6 GHz Over-the-Air AMC via Curriculum Fine-Tuned CNN-Transformers Scalability Analysis of Distributed Kolmogorov-Arnold Network Training on High-Performance Computing Systems Cross-modal learning for SAR target recognition using optical vision foundation models Pre-Whitening and BCJR Posterior Distillation for Bi-LSTM Detection in Faster-than-Nyquist Signaling CodeTD: Topology of Attention Detects Hallucinations in Code LLMs You Can't Prefer Emotions You Don't Sample: Intensity Undershoot in DPO-Tuned LLMs A*-Thought-V2: Efficient Latent Reasoning via Geometric Dynamics of LLM The OCUDU dApp Platform: An Open Runtime and E3 Interface for Real-Time AI-RAN SGD in Multiclass Logistic Regression: Sequential Learning and Scaling Laws LLM Layers Immediately Correct Each Other Explainable Temporal Attention-based Defect Detection For Fillet Joints in Real-Time Gas Metal Arc Welding Based on Multi-modal Data JEDI: JEPA-to-Edge Distillation for Efficient Cropland Segmentation from Satellite Imagery Beliefs and Behavior in Language Models Support Topology and Gradient Mixing in Sinkhorn Layers The Role of Uncertainty in Assessing the Fairness of Machine Learning Models A Sub-4 Approximation for Fair $k$-Means Clean Accuracy Does Not Guarantee Provenance Robustness: A Prospective Codec-Stress Evaluation of Audio Attribution Flexible Motion Generation from Language and Style References VEX-Bench: Benchmarking LLM Agents for Assessing Exploitability of Software Supply Chain Vulnerabilities MamMA: A Mamba-Based Pedestrian Trajectory Prediction Algorithm Considering Occupancy Map and Pedestrian Awareness States A Quantitative Evaluation Framework for Temporal Explainability in Echocardiographic Video Segmentation Bayesian Matrix-Valued Graphs for Context-Dependent Multivariate Relationships MI-PEFT: Mixture-of-Experts Integrated Parameter-Efficient Fine-Tuning Protein Language Models Improves Acidophilic Proteins Classification A Gradient-based yet Spike-Timing-Dependent Solution to the Feedback Learning Problem in Neural Microcircuits Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation PocketVE: Stable and Property-Guided Structure-Based Drug Design with Variance-Exploding Diffusion DISEIL: Demonstration Distillation for Sample-Efficient Imitation Learning A Transformer-Based Delta Expression Encoder for Psilocybin Transcriptional Response: Architecture, Representations, and Biological Validation Optimal Slice-Adaptive Tuning of Hybrid Slice Sampling A Better Spur Should Start From Each Objective DRIFT: Removing Diffusion Watermarks by Deflecting the Generative Trajectory Vision: Data-Centric Anchoring for Robust and Interpretable Agentic AI Speed Limit for Information Acquisition in Stochastic Learning Dynamics ActionSplice: In-Flight Action Editing for Interactive World Models Routing Dense Layouts with History-Aware Offline Reinforcement Learning using LSTM Distribution-free inference on the number of changepoints HoneyRoute: Honeypot-Model Routing for Adversarial LLM Serving A Measurement Study of LLM Inference Trade-offs Across Edge Continuum Hardware Non-Coherent Over-the-Air Federated Learning: Protocol, Convergence, and Device Scheduling Fixed-Dimensional Latent Flow for Generating Variable-Size 3D Molecules CoVeR: Coverage-Based Token Pruning for Multi-View 3D Reasoning in VLMs To Adapt or Not to Adapt? Selective Adaptation for Vision-Language Models How to Make the Gradient Mapping Small for Constrained Stochastic Min-Max Problems and Beyond Selective boundary condition reduction via learned error gating Inclusive electron-nucleus cross section models from domain adaptation Do Reviewers Still Reward Lexical Complexity? A Frozen-Rater Study of Preference Drift in 124K ICLR Reviews When Topology Betrays Privacy: Lattice-Based Reconstruction Attacks on Secure Aggregation in Decentralized Federated Learning Temporal State Transport in Video Generation: Diagnosing and Correcting Spectral Imbalance The Exact Time-Uniform Rate Frontier for Stochastic Gradient Descent on Smooth Convex Objectives Non-Adaptive 1-Bit Mean Estimation: Minimax Rates and the Sample-Interval Tradeoff Limitations of Automated Simulatability: LLM Simulators Can Bypass Explanations FedGenSC: Federated Generative Semantic Communication with Channel-Aware Adaptation Flexible Spectral-Normalized Neural Gaussian Process for Dynamic Aperture Prediction SynthRCT: Scalable Conditional Deformation Synthesis for Synthetic Repeat CT Generation Charts Are Beyond Pixels: Probing for Layer-Wise Chart Understanding and Editing Learning to build covering structures with continuous adjustments Optimal estimation for Functional Linear Regression with Noisy Discretized Data TontaubeV1: Streaming Text-to-Speech with Hierarchical Codec Modeling and Bounded Context A Note on Scaling in Randomly Rotated Quantization and Its Connection to the CDEF +1 Pythagorean Relation ZK-Trace: Certified Collusion Tracing with Zero-Knowledge Credentials for Federated GNSS Interference Monitoring Ostrich: Taking Large Strides Through Stiff Contact in Differentiable Dynamics A Closed-Form Estimator and Diagnostic Battery for Anchor-Judge Error Correlation, Under a Single-Common-Factor Model High-Magnetization Sampling at Low Temperatures: Ising Models and Bayesian Sparse Linear Regression ONE CYLinder: A Benchmark for Graph-Based Surrogate Modeling of Unsteady Bluff-Body Flows Fitting and Learning Basis-Restricted Propositional Formulas Omni Interaction Agent Technical Report Deposon: An Auditable, Conservation-Guaranteed, Game-Theoretically Tested Scattering Layer over LLM Reasoning Paths Evaluation of Contextual Understanding in Large Language Models Closed-Form of the Local Galactic Potential and Stellar Distribution Function from Gaia DR3 Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research? A Generalization of Amari's Bayesian Duality Silver Rate Is (Almost) Optimal for Gradient Descent Acceleration Understanding Uncertainty Sampling via Equivalent Loss Instance-wise Linearization of Neural Network for Model Interpretation Latent class analysis by regularized spectral clustering High-dimensional Linear Bandits with Knapsacks KTO: Model Alignment as Prospect Theoretic Optimization Provable Pluralistic Alignment: Multi-Party RLHF under Offline Human Feedback CausalBN-Bench: A Comprehensive Benchmark for Causal Learning Capability of LLMs Proper Dataset Valuation by Pointwise Mutual Information Policy Gradients for Cumulative Prospect Theory in Reinforcement Learning Projected Neural Differential Equations for Learning Constrained Dynamics DUA-D2C: Dynamic Uncertainty Aware Method for Overfitting Remediation in Deep Learning A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications TSMini: A Simple Yet Highly Effective Trajectory Similarity Learning Model SAEs Can Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs Observability conditions for neural state-space models with eigenvalues and their roots of unity The Dynamics of Generalization in Deep Learning A Theoretical Analysis of Provable Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition Kronecker Factorization Improves Efficiency and Interpretability of Sparse Autoencoders Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods NoLoCo: No-all-reduce Low Communication Training Method for Large Models Deep Learning Approach to Bearing and Induction Motor Fault Diagnosis via Data Fusion From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences A Review of the Long Horizon Forecasting Problem in Time Series Analysis On the Effectiveness of the z-Transform Method in Quadratic Optimization Detecting and explaining clinical-omics inconsistencies to improve patient cohort stratification: an application to Parkinson's disease Deep Learning to Automate Parameter Extraction and Model Fitting of Two-Dimensional Transistors Adaptive Nonlinear Vector Autoregression: Robust Forecasting for Noisy Chaotic Time Series Squeeze10-LLM: Squeezing LLMs' Weights by 10 Times via a Staged Mixed-Precision Quantization Method Learning Latent Graph Geometry via Fixed-Point Schr\"odinger-Type Activation: A Theoretical Study Retrieval-augmented Decoding for Improving Truthfulness in Open-ended Generation Comparison of D-Wave Quantum Annealing and Gibbs Monte Carlo for Sampling from a Probability Distribution of a Restricted Boltzmann Machine SingLEM: Single-Channel Large EEG Model Fusing Sequence Motifs and Pan-Genomic Features: Antimicrobial Resistance Prediction using an Explainable Lightweight 1D CNN-XGBoost Ensemble Best-of-Both Worlds for linear contextual bandits with paid observations SQS: Bayesian DNN Compression through Sparse Quantized Sub-distributions BaNEL: Exploration Posteriors for Generative Modeling Using Only Negative Rewards CogniDir: Combating Cognitive Malicious Comments via Adaptive Distributional Learning for Robust Fake News Detection CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices Leveraging Discrete Function Decomposability for Scientific Design Resolving sources of uncertainty in AI weather forecasting Iterative GRPO: Batch-Online Multi-Turn RL via Single-Turn RLHF Tracing Mathematical Proficiency Through Problem-Solving Processes Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution Modal Logic Neural Networks Differentiable Causal Discovery for Singular Linear Models under Confounding Temporal Kolmogorov-Arnold Networks (T-KAN) for High-Frequency Limit Order Book Forecasting: Efficiency, Interpretability, and Alpha Decay Electricity Price Forecasting: Bridging Linear Models, Neural Networks and Online Learning Minimum distance classification for nonlinear dynamical systems GIFT: Reconciling Post-Training Objectives via Variational Finite-Temperature Gibbs Initialization Strategic Doctrine Language Models (sdLM): A Learning-System Framework for Doctrinal Consistency and Geopolitical Forecasting SFO: Learning PDE Operators via Spectral Filtering From Human Labels to Literature: Semi-Supervised Learning of NMR Chemical Shifts at Scale PatchFormer: A Patch-Based Time Series Foundation Model with Hierarchical Masked Reconstruction and Cross-Domain Transfer Learning for Zero-Shot Multi-Horizon Forecasting More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD) Low-Rank Plus Sparse Matrix Transfer Learning under Growing Representations and Ambient Dimensions Continual Policy Consolidation for Lifelong Robot Learning Multi-Fidelity Physics-Informed Neural Networks with Bayesian Uncertainty Quantification and Adaptive Residual Learning for Efficient Solution of Parametric Partial Differential Equations Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models Echo State Networks for Time Series Forecasting: Hyperparameter Sweep and Benchmarking Boosting LLM Reasoning via Human-Inspired Reward Shaping Improved Dimension Dependence for Bandit Convex Optimization with Gradient Variations Feedback Control for Multi-Objective Graph Self-Supervision Parity, Sensitivity, and Transformers A Thermodynamic Theory of Learning Part II: History-Dependent Reachability and Continual Learning Diffusion-Inspired Reconfiguration of Transformers for Uncertainty Calibration Learning functional components of PDEs from data using neural networks Text Has Curvature Constant-Stepsize Stochastic Approximation: Finite-Time Convergence, Gaussian Approximation, and Tail Bounds Diagnosing LLM Reranker Behavior Under Fixed Evidence Pools CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation Temporal Consistency Improves Generalization in Contextual Offline Meta Reinforcement Learning FuseDiff: Symmetry-Preserving Joint Diffusion for Dual-Target Structure-Based Drug Design Spatiotemporal Heterogeneity of AI-Driven Traffic Flow Patterns and Land Use Interaction: A GeoAI-Based Analysis of Multimodal Urban Mobility Mixing Makes Markovian Contexts Cheap for Linear Bandits Real-Time Driver Safety Scoring Through Inverse Crash Probability Modeling Adapting Technical-Service LLM Agents with Latent Logic Augmentation, Robust Noise Reduction, and Hybrid Reward Modeling Generating from Discrete Distributions Using Diffusions: Insights from Random Constraint Satisfaction Problems DSPA: Dynamic SAE Steering for Data-Efficient Preference Alignment EcoFair: Energy-Efficient Inference Routing for Edge AI under Data Degradation Subspace Optimization for Backpropagation-Free Continual Test-Time Adaptation The Geometry of Polynomial Group Convolutional Neural Networks Apriel-Reasoner: RL Post-Training for General-Purpose and Efficient Reasoning Towards Near-Real-Time Telemetry-Aware Routing with Neural Routing Algorithms Domain-Aware Hybrid Quantum Learning via Correlation-Guided Circuit Design for Crime Pattern Analytics Attention-Weighted Value Projection for KV-Cache Compression PAC-CF: Calibrating Irreversible Frontier Pruning in LLM-Guided Search Partner-aware Peptide-Protein Interaction Prediction and Target-conditioned Peptide Generation Learning Without Adversarial Training: A Physics-Informed Neural Network for Secure Power System State Estimation under False Data Injection Attacks Marginal-Contribution Policy Gradients under Filtered Feedback for Multi-Agent LLMs Conformalized Quantum DeepONet Ensembles: Towards Scalable Operator Learning with Distribution-Free Guarantees Near-Floor Geometry Is Generic: Leverage Dispersion in Trained Overcomplete Codes $S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data Multi-User Dueling Bandits: A Fair Approach using Nash Social Welfare A Universal Reproducing Kernel Hilbert Space from Polynomial Alignment and IMQ Distance Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits Convergent Stochastic Training of Multi-Headed Attention and Understanding LoRA Block-Wise Differentiable Sinkhorn Attention: Tail-Refinement Gradients with a Gap-Aware Dustbin Bridge Learning Polyhedral Conformal Sets for Robust Optimization Can Revealed Preferences Clarify LLM Alignment and Steering? PMCTS: Principled Parallelized Inference Time Scaling with Particle Monte Carlo Tree Search RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why The Transformer as a Polar State Estimator EmoMind: Decoding Affective Captions from Human Brain fMRI Vocabulary-size-independent Convergence of Discrete Diffusion Models: adjoint equations induce the right space Concise and Logically Consistent Conformal Sets for Neuro-Symbolic Concept-Based Models PUID: A Personalized Deconfounding Framework for Recommender Systems under Hidden Confounding EmoTrack: Clinical-Semantic Modeling for Text-Based Depression Severity Estimation WMAttack: Automated Attack Search for Adversarial Evaluation of World-Model Agents The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer Linear Separability of Activation Representations after Supervised Fine-Tuning on Incorrect Responses: A Study of Synthetic Dishonesty in Large Language Models LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis Learning to Construct Practical Agentic Systems From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets Rollout-Level Advantage-Prioritized Experience Replay for GRPO Reactive Flux Matching: Mechanism Discovery and Adaptive Sampling of Rare Events In-Context Multiple Instance Learning HAARES Half-Split Residual Basis Routing for Deep Transformers Federated Foundation Models over Vehicular Networks Neural Field Tokenizations with Hierarchy and Spatial Locality Priors When to Align, When to Predict: A Phase Diagram for Multimodal Learning PCA-Enhanced Adaptive NVAR Framework for High-Resolution Sea Surface Temperature Forecasting in the East Sea Characterizing Privacy-Audit Alignment in Behavioral Audit of Machine Unlearning Monotonic Kolmogorov-Arnold Networks: A Theoretical and Empirical Study of Monotonicity as an Inductive Bias Cost-Optimal LLM Routing with Limited User Feedback under User Satisfaction Guarantees Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs VegSim: A Geospatial World Model for Scenario-Conditioned Vegetation Simulation Discovering Latent Groups for Robust Classification When Can Conformal Risk Control Certify LLM Outputs? Bounds, Impossibility, and Adaptation for Structured Generation When Does Activation Steering Change What a Model Computes From? Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again Probing Chemical Language Models: Effects of Pre-training and Fine-tuning Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Dynamics of Gradient Descent with Large Step Size Near a Manifold of Flat Minima Learning Subgroup Relations Using Siamese Graph Neural Networks When Does Reward Teach State? A Hidden-Automaton Instrument and a Group-Language Warning Signal What a Deletion Certificate Covers, and Where It Expires: Auditable Removal from a Support-Vector Memory AI-Augmented Adaptive Digital Twin Modeling for Brain Tumor Evolution Prediction and Treatment Scheduling On the Potential of Graph Neural Networks as Metamodels for Supply Chain Optimization: Dataset, Architectures, and Directions Information-Theoretically Secure Aggregation for Lightweight Federated Learning: Resilient to Dropouts and Adversaries Parameter-Free Dynamic Regret under Heavy-Tailed Noise Equilibrium Training of Energy-Based Models with Parallel Trajectory Tempering Can an AI Assistant Really Forget? Auditable Deletion from Addressable Memory An Identifiability Theory of Masked Prediction: Mode Blindness and Mask Schedules An AI-Based Decision-Support Pipeline for Day-Ahead Photovoltaic Forecasting Noise in Diffusion Models Is a Learnable Input TimeRLM: Recursive Language Models Enable Precise Anomaly Localization in Long-Context Time-Series ArborEnum: Decision Tree Rashomon Sets over Continuous Features An AI4AI Framework for Visual Token Pruning DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology Adversarial Resilience of Poisson-Process Submodular Maximization over Matroids, and Full-Bandit Learning Online Convex Optimization with Dueling Feedback Conditional Validity for Adaptive Modality Acquisition: When the Policy Chooses Its Own Calibration Group Advancing Open and Reproducible Relational Learning: RelArena-$\alpha$, TabPFN-Rel and RPI CaliBench: Are the Stochastic Dynamics of Video World Models Physically Calibrated? Coordination on a Budget: Federated Active Learning with Few Labels Learned, Then Lost: A Measured Single-Example Counterfactual in Pre-training K\"ahler landscapes for complex neural network descents and guarantees including a search and destroy of the Calabi-Yau manifold Decision Tree and K-Means Analysis of Raman Spectra for Edible Oils: A Physics-Informed AI Approach Learning Exact NVIDIA SASS Encoders with $\mathbb{F}_2$ Linear Algebra Across-Design Uncertainty in Short Pricing Panels: Inference and Identification CatchBench: When Can an Agent Failure Be Caught? SplitLite: Low-Rank Residual Compression for Split Learning From Relaxed Indexability to Exact Indexability: A $t$-Step Approach for Partially Observable Restless Bandits When Do Supervised UQ Ensembles Improve LLM Hallucination Detection? A Robustness Study On-policy Distillation with Verifiable Reward A Storage-Retrieval Gap in Parametric Knowledge Graph Memory A Geometric Phase Boundary for Volume-Sampled Linear Readouts Actionable CBFI: Integrating Structural Decomposition and Causal Counterfactual Recourse for Tabular Machine Learning Temporal Memory-Aware Online Test-Time Adaptation on Dynamic Graphs When Can Conditional Flow Matching Replace Pointwise Negative Log-Likelihood? VICT: Verifier-Instrumented Credit Tracing for Long-Horizon LLM Agent Reinforcement Learning D-TAIA: Domain-Aware LLM Adaptation for Multi-Task Predictive Process Monitoring Euclidean Fourier Neural Operators PathGuide: Dynamic Classifier-Free Guidance via On-Policy Transport Alignment Error Detection for PET/CT Radiology Reports: Domain-Specific vs Large Language Models Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling Branch Geometry and Finite-Radius Sensitivity of Hard-ReLU Training ReNFT: Repairing Mode Collapse in Reward Post-Training via Internal Probability-Mass Recalibration Assessing Alignment and Stability of Feature Importance Explanations via Weight of Evidence Generative artificial intelligence for reliable mechanistic reasoning for corrosion EEG-VID: Task-Guided Latent Predictive Pretraining for EEG Decoding and Assistive Target Selection SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers InKAN: B-Spline KANs via Truncated Power Form Almost Free State Prediction Separation Spectral-Target Physical Latent Structuring for JEPA-Style World Models Learning-Augmented Algorithms: Guarantees, Construction Mechanisms, and System-Level Implications Linear and Quadratic Discriminant Analysis: Tutorial Directed mixed membership stochastic blockmodel Decision-Centered Abstractions via Orthogonal Estimation of Difference-of-Q Functions Tempora-Fusion: Time-Lock Puzzle with Efficient Verifiable Homomorphic Linear Combination The EM-algorithm and the Method of Moments in Softmax Mixture Models On Generalisation Error Bounds for Transformers Approaching the Harm of Gradient Attacks While Only Flipping Labels Fewer yet critical: Reducing Redundant Token Dependencies for Transformer-based Time Series Forecasting DDPM Score Matching and Distribution Learning How to Backdoor Image Knowledge Distillation Clustering and Pruning in Causal Data Fusion ControlTac: Scaling Tactile Data with Physically Controlled Tactile Image Generation Efficient and Microphone-Fault-Tolerant 3D Sound Source Localization Multi-Task Learning with Covariate-Overlap Regularization MILAAP: Mobile Link Allocation via Attention-based Prediction A robust and adaptive MPC formulation for Gaussian process models Q-Guided Stein Variational Model Predictive Control via RL-informed Policy Prior Mind the Gap: Navigating Inference with Optimal Transport Maps Dynamical stability for dense patterns in attractor neural networks Introducing HALC: A general pipeline for the systematic and reliable construction of prompts for automated coding with LLMs in the computational social sciences Formal Bayesian Transfer Learning via the Total Risk Prior Differentially Private Model-X Knockoffs via Johnson-Lindenstrauss Transform ComplicitSplat: Downstream Models are Vulnerable to Blackbox Attacks by 3D Gaussian Splat Camouflages Learning Acrobatic Flight from Preferences ReST-RL: Reinforcing LLM Reasoning through Unified Self-Training and Value-Guided Search The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements WhisTLE: Deeply Supervised, Text-Only Domain Adaptation for Small Pretrained Speech Recognition Transformers Interpretable Network-assisted Random Forest+ S$^3$F-Net: A Multi-Modal Approach to Medical Image Classification via Spatial-Spectral Summarizer Fusion Network AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Robust Phonocardiogram Classification Learning Multi-Index Models with Hyper-Kernel Ridge Regression DAGLFNet: Deep Feature Attention Guided Global and Local Feature Fusion for Pseudo-Image Point Cloud Segmentation RePro: Training Language Models to Faithfully Recycle the Web for Pretraining Synthesizability Prediction of Crystalline Structures with Structure-Aware Feature Learning and Uncertainty Quantification Deep Active Inference with Diffusion Policy and Multiple Timescale World Model for Real-World Exploration and Navigation Sustained Performance and Energy Accounting for Nonlinear Forecasting Across Classical and Simulated Quantum Models Accelerated Frank-Wolfe Algorithms: Complementarity Conditions and Sparsity PAN: A World Model for General, Actionable, and Long-Horizon World Simulation Generalized infinite dimensional Alpha-Procrustes based geometries Patent Representation Learning via Self-supervision Unexplored flaws in multiple-choice VQA make benchmarking unreliable Residual-augmented flow matching operators for probabilistic partial differential equations Decoder-Side Semantic Conditioning for Low-Bitrate Neural Speech Compression Alpha-R1: Alpha Screening with LLM Reasoning via Reinforcement Learning A New Strategy for Artificial Intelligence: Training Foundation Models Directly on Human Brain Data SWE-Tester: Training Open-Source LLMs for Issue Reproduction in Real-World Repositories Solving the Offline and Online Min-Max Problem of Non-smooth Submodular-Concave Functions: A Zeroth-Order Approach Hypersolid: Emergent Vision Representations via Short-Range Repulsion Observing Health Outcomes Using Remote Sensing Imagery and Geo-Context Guided Visual Transformer Can One-Shot Test-Time Data Augmentation Help with Generalization? Rotation-free Online Handwritten Character Recognition Using Linear Recurrent Units Jointly Optimizing Debiased CTR and Uplift for Coupons Marketing: A Unified Causal Framework LGQ: Learnable Geometric Quantization for Image Tokenization MGD: Moment Guided Diffusion for Maximum Entropy Generation US-JEPA: A Joint Embedding Predictive Architecture for Ultrasound Learning Quantum Data Distribution via Chaotic Quantum Diffusion Model KDFlow: A User-Friendly and Efficient Knowledge Distillation Framework for Large Language Models TimeWarp: Evaluating Web Agents by Revisiting the Past FILT3R: Latent State Adaptive Kalman Filter for Streaming 3D Reconstruction Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks Hyperspectral Trajectory Image for Multi-Month Trajectory Anomaly Detection The Rules-and-Facts Model for Simultaneous Generalization and Memorization in Neural Networks Hyperelastic constitutive model discovery with differentiable finite elements and structure-preserving neural networks Learn to Rank: Visual Attribution by Learning Importance Ranking Token Encoding for Semantic Recovery AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation Conformalized Super Learner State-Dependent Lyapunov Analysis of Rank-1 Matrix Factorization Stability of the Monge Map in Semi-Dual Optimal Transport FragileFlow: Spectral Control of Correct-but-Fragile Predictions for Foundation Model Robustness Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning Discriminative Span as a Predictor of Synthetic Data Utility via Classifier Reconstruction CRePE: Curved Ray Expectation Positional Encoding for Unified-Camera-Controlled Video Generation Backdoor Channels Hidden in Latent Space: Extending Cryptographic Undetectability to Modern Neural Networks Do LLMs Hold Their Values? MANTA: A Multi-Turn Adversarial Benchmark for Animal Welfare Reasoning Generating Pretraining Tokens from Organic Data for Data-Bound Scaling Geometric Dictionary Learning of Dynamical Systems with Optimal Transport Atomistic Modeling of Chemical Disorder in Materials: Bridging Conventional Methods and AI-Assisted Approaches Expressivity of Contradiction Graphs More Context, Larger Models, or Moral Knowledge? A Systematic Study of Schwartz Value Detection in Political Texts Clarify, Abstain or Answer? Strategising in Conversation with Belief-Augmented Generation Better Later Than Sooner: Neuro-Symbolic Knowledge Graph Construction via Ontology-grounded Post-extraction Correction Gradient-Free Training of Spiking Neural Networks via Low-Rank Evolution Strategies Subliminal Learning is a LoRA Artifact LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models Spike-Aware INT8 Execution for Spiking Language Models on Commodity CPUs SymTRELLIS: Symmetry-Enforced Voxel Latents for 3D Generation When New Generators Arrive: Lifelong Machine-Generated Text Attribution via Ridge Feature Transfer Amortized Neural Optimization for Pre-Layout Signal Integrity Design Space Exploration using Differentiable Surrogates How Small Can You Go? LoRA Fine-Tuning 270M-8B Models for Merchant Information Extraction in Financial Transactions What Matters in Orchestrating Robot Policies: A Systematic Study of Hierarchical VLA Agents Masked Neural Detection for Run-Length-Limited Channel Coding in Molecular Communication OdysSim: Building Foundation Models for Human Behavior Simulation Understanding Cross-Modal Contributions in Continual Vision-Language Models: A Theoretical Perspective Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks Improving Federated Graph Recommendation with Semantic Guidance A-Evolve-Training: Autonomous Post-Training of a 30B Model Where Does the Signal Live? A Web Data Recipe for Medical Encoder Pretraining Interleaved Speech Language Models Latently Work In Text Pre-Warm: Initializing Convolutional Filters from First-Batch Patch Dictionaries Mean-Field PhiBE: Continuous-Time Mean-Field Reinforcement Learning from Discrete-Time Data Bridging Ab Initio Symmetries and Global Nuclear Masses with Interpretable Neural Networks An Additive MLP-GNN Framework for Characterizing Chemical and Structural Contributions to Aqueous Solubility Context-Masked Truncated Reasoning Audits for Answer-Key Dependence in LLM Tutors Any-Dimensional Learning by Sampling Environment Parameter Gradient Theorem for Co-Design in Reinforcement Learning Physically Consistent Parameter Inference: Transparent Machine Learning Emulation in High Energy Physics and Cosmology Learning-enabled Acceleration of Scenario-based Model Predictive Control Decision Making Needs Uncertainty Quantification [Lecture Notes] Probing Speaker Identity Sensitivity in Audio Deepfake Detectors Secure Aggregation for Privacy-Preserving Federated Learning on Clinical EEG Data A False Average: Chain-of-Thought Monitors Collapse Where They Are the Only Defense Pruned BPE: Post-training Visibility Pruning and Token Reallocation for Byte Pair Encoding Celty: SpMSpV GPU Kernel and SIMT Co-Design for Efficient Dual-Sparse LLM Inference A Quantum Roadmap for Softmax Attention: Exact Born-Rule Analogs for Softmax Attention on the Probability Simplex How to Verify Probabilistic Consistency of Predictive Models Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level Picture the Epsilon: Pursuing Identity-Level Privacy Guarantees for Images Temporal Leakage in Financial News NLP: A Multi-Architecture Audit with a Regime-Specific M&A Signal Feature Priming in Online Linear Regression: Sparse-Regret Lower Bounds and Tight Coordinatewise Rates On the Fragility of Self-Improving Agents: Variance, Task Order, and Underspecification VA-DPO: Valence-Arousal Direct Preference Optimization for Controllable Emotion Generation in Language Models Spending Scarce Confirmatory PET Measurements: Target-Aligned Validation in A4/LEARN Sequential operator learning under dependent data Generative Action-Chunk Sampling for Adaptive Stiffness Control in Physical Human-Robot Collaboration Token-Oriented Semantic Communication with Pretrained Vision Transformers LM-X: Explainable Vision--Language--Action Modeling via Progress, Event, and Uncertainty Prediction Unfolding Scientific Papers into Multi-Turn Generation Trajectories for Continued Pre-Training When the Canonical Completion Is Wrong: Formalizing and Measuring the Jump in Large Language Models Co-Evolving Structured Knowledge and Reasoning in Language Models Sharp Minimax Regret for Infinite-Memory Logistic Prediction When Text Misleads: Inconsistent-Aware Reasoning for Audio-Grounded Dialogue LLMs Can Design Near-Optimal OR Algorithms Explainable Diabetic Retinopathy Classification Using Vision Foundation Models ARMOR: Manifold-Oriented Training for Adversarially Robust Aerial Object Detection under Data Scarcity Balance of Benchmarks: Semantic Density Reweighting for Benchmark Multiplicity and Task-Conditioned Evaluation Dec-BFTRL: Squre-Root Regret for Decentralized Online Upper-Linearizable Optimization under Separation Access with Application to Continuous Submodular Maximization CoJEPA: Combining Contrastive Learning and JEPA for Global-Local Music Representations When Prediction Error Is Not Enough: Evaluating Nuisance-Function Prediction for Causal Estimation A convolutional framework for detecting event-driven dynamics in energy price series PRISM: An Agentic Multi-Model Architecture for Proactive Safety in Autonomous Transportation Systems Pooling and Drift in Delayed Bandits SPADE: SPaT Attack Detection from the Connected Vehicle's Perspective Privacy Leakage in Federated Learning: Gradient-Based Client Identity Inference and Defenses for Inertial Sensing in Vehicular Edge Networks VoxReason: Listener-Free Evaluation of Source-Grounded Speech Planning Before Synthesis Dude: A Dual-Detection Multi-Agent System for Paper-Code Discrepancy Detection EXAONE Finance 1.0: An Attention-free Time Series Foundation Model for Financial Time SeriesArxiv cs.AI
Beyond Right and Wrong: Evaluating Second-order Social Reasoning in Large Language Models CriticGen: Generation-Aware Evaluation as Actionable Feedback When Does Memory Help? A Cost-Aware Evaluation of Long-Term Memory in Tool-Using LLM Agents AutoFyn Technical Report: Non-Parametric Expert Iteration for Long-Horizon Agents Damage-Aware Bandit Pruning for Vision and Language Transformers Compiling VGDL into Causal Models ARC-Bench: Closed-Loop Replanning Masks Broken Action Ranking in Frozen JEPA World Models RAPID: Reliability-Aware Pair Importance Distillation PGP-Clinical-TimeKAN: Prior-Guided Joint Probabilistic Forecasting of Clinical Trajectories SciLitBench: Benchmark and Design Principles for LLM-Powered Systematic Literature Reviews SCAFFOLD: Self-Improving Web Agents via Recursive Parametric Skill Abstraction Reasoning-Aware Compression: Identifying and Protecting Vulnerable Reasoning Circuits for Energy-Efficient LLM Deployment When and What to Teach: Budget-Aware Online Adaptation for Web Agents The Failure Happens Before the Drift: The Social Dynamics of Values in LLM Agent Societies Beyond "AI Helps Humans": Decision-Targeted Evaluation Design for Human-Agent Teams in the Agentic Era EdgeMem: LLM-Free Agent Memory Construction and Retrieval via Evidence-Preserving Multi-Anchor Hypergraph Deep belief networks are exact EnvCraft: Synthesizing Executable Environments in Agentic RL for Claw-like Agent Planning and Scheduling Business Processes under Control-Flow Uncertainty Agents Trust Tools Too Much: Measuring Reliance on Unreliable Tools The convergent laboratory: when AI reasoning, autonomous experiments, high performance and quantum computing reshape chemistry What LLM Trading Agents Actually Do in Production: A Six-Month, Population-Scale Record from Two Fleets CUSP: Decomposable Collective Uncertainty for Multi-Agent Multimodal Reasoning Recovering Temporal and Geographic Signals from Language Model Embeddings Beyond Prompts: Measuring and Optimizing LLM Tool-Agent Harnesses The Normalization of Deviance in AI Development From Monolithic Blending to Agentic Orchestration: Dynamic Response for Conversational Assistants at Scale Inference-Time Graph Engineering for Multi-Agent LLM Workflows DI-Bench: Systematically Generating In-Domain Data Intelligence Benchmarks for Enterprise Agents Distilling Vision-Language Models for On-Device Fire Understanding More Than Mimicking Reviewers: Evaluating LLMs for Pre-Submission Peer Review Spillover-Aware Multi-Value Steering for Pluralistic LLM Alignment Evidence-Aligned Local Composition of Discrete Experts for Sequence Restoration Exposing Weaknesses in Emotion Recognition in Conversations Agentic BAIM-LLM Evaluation (ABLE): Benchmarking LLM Use of Protein Design Tools Beyond Top-$k$ Skill Retrieval: Diversity-Aware Skill Routing for LLM Agents Learning Counterfactual World Models for Embodied Reasoning under Partial Observability AgentBrew: Offline Tool-Use Agent Learning from Raw Real-World Trajectories Multimodal Resource-Exhaustion Attacks on Vision-Language Models via Joint Pixel-Prompt Optimization The End of AI Exponentiation: Fluttering Inside and Outside AI Bubble Beyond Final Decisions: A Process-Centric Benchmark for Transparent AI-Assisted Peer Review MOAE: Multi-Objective Agent Evolution with Pareto-Preserving Search Agentic Pressure: The Endogenous Entropy of Reliable Autonomy Generator-Independent Runtime Assurance under Partial Observation DAREBench: Deployment-Aware and Reliable Evaluation of Models as Agents Explaining AI Agents Through Execution Traces Generating Instance Generators in PDDL Planning LayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies SAP: State-Guided Data Synthesis with Argument Provenance for Multi-Turn Tool Use CWF: A Collaborative Writing Framework for Personalized and Reliable Popular Science Writing Substrate-Portable Execution for Production LLM Workflows IIns-VAE+: A Robust Transfer Learning Framework for Environmental Identification in Wireless Sensing MVFA: A Multi-View Text-Guided Multimodal Fusion LLM Adapter for Sentiment Analysis and Emotion Recognition Customer Relationship Intelligence: Integrating CRM and MDM for Enhanced Customer Engagement SCIRIGOR:Evaluating Open-Ended Scientific Analysis Beyond Final Scores Predicting Wind Turbine Power Using Machine Learning and Weather Forecasts AutoKD: Autonomous Knowledge Discovery Building Trustworthy Graph-Agentic RAG for Social Good: Architectures, Failure Propagation, and Assurance by Construction From Concentration to Differentiation and Back: Routing Effective Rank in MoE Reasoning Cohorts Causal Attribution for Agentic Decisions: Estimators, Coupling, and a Traceability Specification A Unified Policy Architecture (UPA): The Governance Kernel for Enterprise AI Operating Systems MARBO: Relational Belief Grounding for LLM Agents in Social Deduction Games A Translational Note on AI Safety Evaluation SerenAI: State-transition system inspired by text-based world AI models A Computational Implementation of a Goal-Directed Theory of Affect We Built a Mirror and Mistook It for a Mind: Causal Liability and the Fallacy of AI Consciousness Monte Carlo-Based Ex-Ante Assessment of the Green Benefits of an AI-Driven Smart Agriculture Platform in Hainan Simulating the Marginal Green Contribution of AI Modules in a Smart-Agriculture Platform: Evidence from Two Monte Carlo Experiments Reason Through the Latent! Making Latent Visual Reasoning Necessary Improving Proficiency and Efficiency of Android GUI Agents via Self-Generating Tool Actions Unsound Search with Policy and Value Networks in Legends of Code and Magic Formation of structural attractors in neuromorphic systems NormViz: A Benchmark and Framework for Grounding Multimodal Reasoning in Global Cultures Learning transferable human physiology from two million hours of sleep with SleepFM-2 A visual large language foundational model for medical image recognition using clinician-oriented social media When and Why LLM Causal Priors Help: Closed-Loop Prior Selection for Amortized Causal Inference iBrain: A Unified Foundation Model Reading the Brain from Surface to Spikes SSP-DMGTimeNet: Physics-Constrained Learning for Spatiotemporal Trajectory Prediction of Vehicle Platoons RedKnot-MLA: Multi-Head Offline-Online Reuse for DeepSeek-V4 Long-Context Serving Beyond One-Shot Expansion: Contrastive Evidence Exploration for Multi-Hop Retrieval VST: Verifiable Structured Transport for Auditable Agent-to-Agent Alpha Discovery A Hierarchical Consistency Framework for Auditing Retrieval-Augmented Generation Systems Risk Is Not Review Value: Wrong-Answer Exposure Under Bounded Review Budgets Beyond Sparse Rewards: A New Benchmark and Structure-Aware Graph Alignment for Micro-Drama Understanding EEG-Driven Decoding Framework for Passenger Hazard Perception in Highly Automated Vehicles Encoded Early, Used Late: Where Transformers Begin to Act on an Inferred Partner's Expertise An Auditable Symbolic-RAG-Generative AI Architecture for Goal-Oriented Conversation Orchestration PhysMAS: Physics-Grounded Multi-Agent Synthesis of Compositional 4D Gaussians EmoMed: An Emotionally-Aware Agent for Multimodal Medical Support with Real-Time Information Retrieval Agentic Algorithm Engineering: Improving Shared-Memory Exact Minimum Cuts Unraveling the Real Working Mechanism and Inherent Flaws of GAE: A Method for Interpreting Transformer Processes from an Economic Perspective Distance-Aware Attention and Wall-Distance Expert Routing for Transformer-Based 3D Flow Prediction Elastic Horizon: Discovering the Effective Interaction Frontier in Agentic Reinforcement Learning SkillAlign: Aligning Skill Interfaces for LLM-based Agents World Models Under Asynchronous Sensor Observations Weakly supervised neural network: segmentation of complex structures in X-ray microCT DGCPath: Distribution-Aware Generative Contrastive Framework for Self-supervised Path Representation Learning -- Extended Version AAS-RAIL: Improving Information Extraction for Asset Administration Shells through Retrieval-Augmented In-Context Learning Human-like moral judgments conceal divergent motive attributions in large language models RAFM-SER++: A Lightweight Multimodal Emotion Recognition Framework for Real-Time Behavioral Monitoring in Surveillance Systems CIT-CAD: Constraint Intent Tree-based CAD Code Generation and Verification The Internal Anatomy of Strategic Choice in Large Language Models Modus Tollens and Counterfactuals and Counterfactual Reasoning Based on Three Types of Negation Quantile-Led Feature Extraction for Multi-Horizon Predictive Maintenance in Industrial Manufacturing Systems Scoring Without the Engine: Validating a Deterministic, Manipulation-Resistant Content Score for Generative Engines, End to End From Simulated Citizens to Simulated Deliberation: Challenges in Representation and Interaction A Tool-Augmented, GPT-4 Chatbot for Real-Time Repository Data Analysis FinCUABuild: Can Agents Build Reliable Benchmarks for Dynamic Financial Computer Use? AgentIdeaBench: Benchmarking Scientific Ideation in the Agent Era Norms at a Price: Why RL-Based Alignment Can Promise Conditional Compliance at Best Aegix Pulse: A Traceable Three-Stage Architecture for Personalized Content Generation and Context-Preserving Revision APPSim-Bench: Bridging Real-world Apps and Reproducible Evaluation for Mobile GUI Agents The Emerging AI Paper-Review Arms Race: Adversarial Co-Evolution in Scholarly Publishing A radiographic world model for clinical reasoning and evidence generation The Profit Alignment Problem: How Profit Mandates Induce Alignment Failures in LLMs When Intelligence Becomes Agency: A Theory of Governed, Proactive Agency for Symbiotic AI Systems xDailyBench: Benchmarking LLMs on Professional Consultation for Real-Life Problems What Does an LLM-Agent Leaderboard Rank Actually Compare? Understanding the Impact of Model Pruning on Long-Tail Forgetting and Explanation Reliability in Medical Imaging Do Large Language Models Know What They Don't Know II? A Fully Behavioral, Non-Cognitive Measure of Epistemic Honesty Explainable Temporal Attention-based Defect Detection For Fillet Joints in Real-Time Gas Metal Arc Welding Based on Multi-modal Data Quantization Amplifies Determinism, Not Bias: Scale-Dependent Behavioral Effects of Serving-Time Weight Compression PRIMUS: Identity, Governance, and Verification for Multi-Agent Federations FrogNano: Training a 4B Coding Agent via Online Task Synthesis Beliefs and Behavior in Language Models CausalVerify: An Execution-Grounded Benchmark for LLM Causal Inference Workflows Support Topology and Gradient Mixing in Sinkhorn Layers From Event Logs to Governed Action: A BlueSky Agenda for Agentic Process Mining When Can LLM Digital Twins Reduce Human Measurement? From Behavioral Fidelity to Statistical Substitutability Mini-Batch Risk-Averse Deep Q-Learning: A Robot Navigation Case Study Sparks of In Silico Cognitive Science: Theories from Simulated Data Can Generalize to Humans From Version Conflicts to Decision Conflicts: Selective Revalidation for Long-Running AI Agents A Layered Analysis of Disagreement And Answer Quality in Multi-Agent LLM Debate Eliciting Self-Verification in Multimodal Reasoning Agents with Reinforcement Learning ResidualAuth: What Authorization State Must Language Agents Preserve under Revocable Delegation? Automated Design of Inventory Policy with Large Language Models: An Exploratory Study Inference-Time Nash Alignment RevalExo: A Functional Daily-Activity Benchmark for Inertial and Visual Locomotion Mode Recognition in Older Adults and Clinical Cohorts CIVI: A Framework for Diagnosing Search Agent Failures in Civic Information Artificial Intelligence-Assisted Digital Inventory of Cultural Heritage & Traditional Knowledge: Case for Indonesian Open Digital Library of Culture Router Prior Bias: Preserving Base Routing Structure in MoE Post-Training SchemeArena: Factorized Stress Testing of Scheming in LLM Agents SWE-Bench Pro Verified: A Reliable Benchmark for Software Engineering Agents WorldAgen: Unified State-Action Prediction with Test-Time World Model Training Key Path Identification for Resolving Knowledge Conflicts via SAE-based Steering OntologyBench: Can Dense Retrieval Satisfy Structured Biomedical Constraints? Safe Harness Self-Evolution: A Theoretical Analysis of Feasibility and Limits Less Is Personal: Learning Minimal Sufficient User Profiles for Personalized Language Models Does Deeper Reasoning Compromise Alignment? Revealing and Mitigating of Alignment Collapse in Large Reasoning Models Bridging the Semantic-Utility Gap in Multimodal RAG via Generator-in-the-Loop Alignment Do Dynamic Routers Need Memory? HeRo: History-Aware Routing for Efficient LLM Inference Qiushi Engine on AstaBench E2E-Bench-Hard A Better Spur Should Start From Each Objective Vision: Data-Centric Anchoring for Robust and Interpretable Agentic AI TTGBench: Benchmarking Topological Evolution and Semantic Drift in Text-attributed Temporal Graphs SE-GoS: Self-Evolving Graph-of-Skills for Skill Library at Scale Style Over Substance: Content-Invariant Wrappers Flip LLM Safety-Judge Verdicts zScore-N: A Neural Network for On-Chain Wallet Reputation Scoring Agentic ML Exploration (A-MLE) for Ads Ranking CircuTutor: Transforming Static Circuit Problems into Intelligent and Dynamic Tutoring Revoked but Still Authoritative: An Empirical Study of Revocation Enforcement in Agent-Memory Systems Evidence-Aligned Entity Verification for Hallucination Detection in Retrieval-Augmented Generation Three Types of Negation of Triple and its Elements and an Extension of Triple MemForest: Efficient Agent Memory Management via EventTree Partitioning and Progressive Merging Beyond Coherence: Benchmarking Professional Editing-Technique Execution in Multi-Shot Audio-Video Generation LEBGen: An LLM-Enhanced Bayesian Network Framework for Few-Shot Travel Survey Data Generation FastE: Readout-Triggered Token Compression for LLM Embedding Inference Feyospace-v1: How the Cyber Mercury Seven Trained Frontier Cyber Models EvolveScaler: Synthesizing Information-Evolution Contexts via Executable State Machines and Natural-Language Rendering SRPO: Setwise Relative Policy Optimization for Multi-Agent LLMs Personalizing LLM Agent Memory Using Biometrics BIO-MEMART: Biometric-Aware KV Cache Memory for Multi-User LLM Agents AgentGrad: Intervention-guided Prompt Optimization for Multi Agent Systems A Three-Tier Persona Vector for Controllable User Simulation in Agentic Evaluation Graph-Based Personalized Memory for LLM Agents: Representation, Evolution, Retrieval, and Evaluation CLAMP: Constrained Decoding for Vision-Language Embodied Planning GoAnt: Quality-Diversity Multi-Agent Search for Alpha Factor Discovery in Market Microstructure Data Application of curiosity driven exploration methods for hardware interference identification When Can One Obtain Certificates of Optimality Using Positivstellensaetze? It's All in the Way You Say It: The Role of Information Representation in LLM-Based Glycemic-Event Prediction Closing the Consistency Gap: Self-Evolving Agents That Learn to Stay on Course API Benchmark Scores Do Not Reliably Transfer to Chatbot Interfaces SkillAdam: Stable and Efficient Skill Evolution for Agents PlannerForge: LLM Agents for Scenario-Based Testing of Motion Planners in Autonomous Driving Good Pretraining, Bad SFT: Checkpoint Quality Across the Training Stack Deposon: An Auditable, Conservation-Guaranteed, Game-Theoretically Tested Scattering Layer over LLM Reasoning Paths Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning Time-Varying Data as Sheaves: an Invitation to Narratives Everything in Moderation: Per-Domain Coverage Optima and Alignment-Resistant Domain Gaps in Multi-Domain Mid-Training The Surprising Effectiveness of Approximate Value Iteration in Self-Play SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research? MeClear: Cooperative Game-Theoretic Attribution and Risk-Aware Memory Clearance for Long-Horizon LLM Agents A Generalization of Amari's Bayesian Duality ExecCritic: Learn to Test, Test to Improve for Coding Agents Co-Evolving Harnesses and Models: On-Policy Correction Helps Weaker Models Catch Up Where Imitation Fails A Data-Driven Framework for Identifying and Prioritizing RPA Opportunities in Healthcare Processes Procedural Graphs: Self-Evolving Execution Structures for LLM Agents Data-driven rational function neural networks: a new method for generating analytical models of rock physics Convergence issues in Relational Concept Analysis based on AOC-posets Neural Symbollic Regression Using Deep Learning and Sparse Modelling TC-Next: Zero-Shot Multimodal Cyclone Forecasting ProToMEx: Rapid, Interpretable Explanations via Structured Representations When Do Options Help? Policy Necrosis and Redundant Coverage in Option-Critic Emergent Goal-Directed Attention in Large Vision-Language Models CrossModalQA: A Cross-modal and Multi-hop Benchmark for Multimodal Retrieval-augmented Generation Robots Influencing Humans to Reveal their Goals during Collaboration and Competition Situation Awareness for Intelligent Data Distribution in Connected Vehicles Diffusion models for eye-gaze trajectory generation using position and velocity representations DART: A DAG-Based Reputation and Incentive Framework via Blockchain-Enabled Governance for Trustworthy LLM Multi-Agent Collaboration When Agent Governance Helps Beyond the Verdict: Evidence-Aligned Evaluation of Visual Prompt-Injection Guardrails Dual-Latent Memory Routing for Vision-Language Reasoning Knowing When Not to Answer: Abstention and Refusal Reasoning in Vision--Language Models Subject-Relative Micro-Motion and Sleep Dynamics for Near-Infrared Video Sleep Staging An Agent Model Abstraction for Human-AI Teaming Cognitive Coupling ViT3Flow: A Test-Time Training Transformer MeanFlow for Postoperative Radiograph Synthesis in Scoliosis WolfSociety: Understanding Collective Risk from Harmful-Agent Scaling in Financial Agent Societies Adaptive Cost-Sensitive Machine Learning for Autonomous Robot Navigation Failure Prediction: When Not All Errors Are Equal TamilEOT: A Dataset and Model for Semantic End-of-Turn Detection in Tamil Telephone Speech Full-Page Optical Music Recognition of Handwritten Monophonic Scores PAC-Private Autoregressive Generation: Calibrating Noise to Ensemble Disagreement Who Maintains Agent Skills? A Longitudinal Study of Human-Governed, AI-Assisted Skill Maintenance Analysis of Respiratory Sinus Arrhythmia with Neural Networks XAI-SDN: An Explainable Entropy-Guided Machine Learning Framework for Real-Time DDoS Detection in Software Defined Networks Newton Matching for Generative Modeling: A Unified Framework for Fine-Tuning and Sampling Bigger Text Encoders Can Hurt CLIP Zero-Shot Performance SeRV: Semantic-Aligned Residual Vector Quantization for American Sign Language Generation Concord: A Video Relational Algebra for Cross-Modal Query Optimization RAGMark: A Comprehensive Framework for Benchmarking Retrieval-Augmented Generation Systems GeoContext: One Context Ladder, Two Failure Modes in Vision-Language Geolocation: Flat Reliance on User-Provided Location Context and False Confirmation of Location Claims Interface-Aware KV Cache Quantization for Dense On-Chip NVM in Long-Context LLM Decoding Data Scout: Targeted Web Crawling for Domain-Specific Pretraining Corpora Diffs vs. Whole Files: An Empirical Comparison of Iterative Edit-Based and Direct Generation for Flutter/Dart Code Models Closed-Loop Evaluation of Bird's-Eye-View Maps from Cross-View Transformers as Inputs to Behavior-Cloning Policies Bait-and-Recover: Poisoning Internal Refusal Signals to Defend LLMs against White-Box Editing Jailbreaks AtomCite: Verification and Correction of Supplied Page-Level Citations in Multi-Page Documents Do Quantum AIs Dream in Paths? Path-Integral Slow Thinking through Grover Interference SAFEGuard: Detect Optimization-Based Jailbreak Attacks Through Harmful Semantic Analysis and Fluency Measurement Where Does the Sound Go? Tracing Acoustic Information Loss in Audio-Conditioned LLMs FACT: A Forensic Agent with Compiled Tool-Use Trajectories for AI-Generated Image Detection Grounded and Faithful P&ID Reasoning: Constraining Vision-Language Models with Recovered Evidence Graphs What if LLMs Ate Their Words: Causal History Effects in Multi-Turn Interaction AlignDiff: Exploiting Model-Intrinsic Information for Better Preference Data Selection From Review to Authorization: Key-Isolated Threshold Signing for LLM Agents UniRRM: Unified Reasoning Reward Models Across Languages and Evaluation Paradigms Structurally Close, Temporally Distant: Measuring Security Exposure in Long-Horizon LLM Agents STAR-Pro: Stage-Wise Token Adaptive Reduction with Progressive Refinement for Efficient Large Vision-Language Models Versioned Transitive Dependency-Closure Binding and Operation-Time Effect Governance for Agent Skills: ClosureBound AVSplat: Dense-View Feed-Forward 3D Gaussian Splatting with Assist-View Preconditioning Solving versus Verifying: Catching Contradictions in Tax Reasoning Systems Intent Drift at SME Scale: Deployment Practice, Not Model Capability, Determines Agentic Compliance Beyond Cross-Lingual Transfer: Benchmarking Propagation Boundaries in Multilingual LLM Unlearning DART: Distributional Adversarial Recurrent Training for Algorithm Learning Geometry-Aware Test-Time Learning for Quantitative Spatial Reasoning Memory in Deep Time-Series Models Tri-PvP: Exposing Modality Bias in Omni-Modal Large Language Models through Perceptual-Propositional Evidence Conflicts What Does Animal Re-Identification Learn? Linear Biological Concepts and Their Origins in Visual Representations Evaluating Deep-Search Agents under Hierarchical Web Evidence Poisoning A solution to the Erd\H{o}s Problem #1040 Image-Scale Robustness and Visual Recognition Performance: A Cross-Architecture Analysis SkillSpec: Intent-Masked Specification Reasoning for Agent Skill Correctness Calendar-SPCA: Interpretable Representation Learning for Multi-Periodic Electricity Consumption Profiles The Role of Gradient Modification in Heavy-Tailed Nonconvex Stochastic Min-Max Optimization ACE: Adapter Consolidation across Experts for Parameter-Efficient Fine-Tuning of MoE LLMs FedSubMuon: Communication-Efficient Federated LLM Fine-Tuning via Structured Subspace Muon PhenoBench: Mapping What a Deeply Phenotyped Human Cohort Can Tell Us Explainable Deep Learning for Price-Trade Dynamics: From Black-Box Forecasts to Effective Parametric Models Flawed but Memorable: Student Critical Reception of Interest-Personalized GenAI Analogies in Computing Education VERPO: Verified Evidence Regularized Policy Optimization Programmable Cellular Automata PAGR: Proof-Carrying Algebraic-Geometric Retrieval: A Quiver-, Provenance-, and Sheaf-Theoretic Framework for Grounded LLM Retrieval What the Window Does Not Contain: Auditing Provenance in a Document-Grounded Instability Benchmark SCRIPTIOC-BENCH: A Benchmark for Recognizing Actionable Threat Intelligence from Script-Based Malware using LLMs ExpertLens: Visualizing Embedding Spaces for Post-Hoc Explainability in MoE Enhanced Retrievers From Splats to Silicon: Rethinking Computational Efficiency of 3DGS All for 1-Bit: Towards Genuine 1-Bit Post-Training Quantization for LLMs Multiple Myeloma Lesion Segmentation on Whole-Body Diffusion-Weighted Imaging via Efficient Anatomical Anticipation and Multimodal Confirmation Decision-Aware Suffix Prediction and Reasoning of Business Processes Diamond Agent: Agentic Control of Federated HPC Resources as a Service Scratchy: Visual-Scratchpad Multimodal Reasoning for Cryptographic Proof Generation in EasyCrypt SWE-Test: Benchmarking LLM Vulnerability Discovery via Input Prediction VDiff-Bench: A Challenging Benchmark for Fine-Grained Image Difference Identification It is Not Yet Another Tool: Creating and Deploying an Agentic AI Companion in a Security Operations Center SIDE: Sensor Impersonation Detection at the Edge via Sequence Prediction Steering Geometry: Validating Human Value Geometry in LLM Steering Space Linear Algebra Foundations of Efficient Attention: A Phase Reversal in Rank Collapse Under SVD Compression AGSA-Net: Abundance-Guided Self-Attention Network for Spectral Unmixing-Aware Hyperspectral Remote Sensing Image Classification Robust Conformal Consensus: Multi-Agent LLM-as-a-Judge Interval Evaluation with Conformal Prediction Recovering Weak Signals with Normalizing Flows Parameterized and Streaming Algorithms for Euclidean Fair $k$-Center Clustering On BatchNorm Forward Modes in Value-Based Reinforcement Learning Collision Snapshot Guided Time-Reversed Safety-Critical Scenario Generation One MLLM, One Call: Efficient Zero-Shot Vision-and-Language Navigation via Spatial-Aware Waypoints Second-Order Smooth Planning with Optimal-Transport Bellman Smoothing Power Mean Estimation in Stochastic Continuous Monte Carlo Tree Search OracleZoom: On-Policy Self-Distillation Inspired Reference-Constrained Recursive Image Super Resolution ProcArena: A Multi-Scenario Benchmark for LLMs on Direct and Interactive PL/SQL Development from Natural Language SRD-GUARD: A Defense Framework of LLMs via Semantic Rewriting and Joint Multi-Model Scoring for Latent Intent Exposure Recovering topological information of light by topological learning A TTP by TTP Approach: Precise Malware Detection via Malicious TTP Recognition Reading Decoder Trajectories: Training-Free Counterfactual Query-Trajectory Reliability for Small-Object Detection Certifying cooperation: a novel approach to cooperative multi-agent task generation Layer-Wise Gate-Controlled Prompt Truncation in a Multimodal Chest X-Ray Classifier Discovering Translation-Worthy Languages with E-Values Deep Barycentric Regression for Optimal Transport Map Estimation and its Statistical Optimality SAGE: A Hierarchical Framework for Evaluating Interpretive Literary Quality in Narratives MemCorr-DP: Counterfactual Correspondence Conditioning for a Diffusion Policy Guided by a Reference Mind the Gap: Exposing LLM Translation Blind Spots Using the AlphaMWE Multilingual Parallel Corpus TD-STGT: A Spatio-Temporal Graph Transformer for Mobile Traffic Demand Forecasting When Does a Laugh Begin? Structured Annotator Disagreement in Temporal Laughter Localization Inducing Emergent Misalignment from Reward Hacks with Iterative DPO SwiftExplorer: Training-free Diffusion Model Alignment with Swift Diversity Exploration Assessing Covariate-Informed Grid Load Forecasting with a Time-Series Foundation Model FSAN: Flow State Attention Network for Aerodynamic Prediction ECOKV: Geometry-Aware KV Cache Eviction via Complementary Diversity Metrics Tracking the Moving Frontier: Long-Short Term Advantage Estimator Detokenization Leaks: Reconstructing Local LLM Outputs From Cache Traces Attention-Enhanced Deep Features with Heterogeneous Ensemble Learning for Glaucoma Detection Counterfactual Tests for Measuring Chain-of-Thought Faithfulness in Visual Language Models A Trustworthy Watermarking Framework for LLM-Generated Food Safety Content Companion-style QA Assistance in Ego-Vision Event Interaction in Low-Rank Bottlenecks for Temporal Relation Extraction Ordinary, Reasonable Chatbots: Do AI Models Track Human Legal Judgments? AuthBench: A Large-Scale Multilingual Benchmark for Authorship Representation across Genres and Lengths DrugReason: Dynamic Multi-View Reasoning over Knowledge Graph and Language Evidence for Drug Repurposing AURA-Eval: Evaluation Framework for Acting Under Risk Awareness in LLM Agent Trajectories Hardware Trojan Threats to Multi-Chiplet Photonic Neural Network Accelerators Comparative Study of Anatomical and Learned Features in AI Models for Structural Brain MRI Typed Federated Artifacts for the Agentic Web:Sharing Tool-Routing Knowledge Across Frozen,Heterogeneous LLM Agents Skynet: Workflow-Level Anomaly Detection for Agentic AI via Semantic and Structural Modeling WAPP: Safe Learning of Positive Security WAF Policies from Live Traffic XYBench: Can LLMs Respond Pragmatically to Queries with Misconceptions? You Are What You Read: Misalignment via In-Context Persona Induction Characterizing Contention-Induced Reliability Collapse in KV-Cache Timing Side Channels for Multi-Tenant LLM Serving Novel Methods for Catheter and Guidewire Segmentation in X-ray Fluoroscopy under a Federated Learning Setting AutoLexSteer: Automatic Contrast Construction for Lexical Activation Steering Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement Learning Human-agent discovery of reconfigurable in-plane ferroelectric superdomain control From Synthetic Priors to Model Behavior: Structural Coverage in Tabular Foundation Models Constrained Online Learning with Noisy Constraint Values Emo-DVS: A Multimodal Benchmark for Privacy-Aware Emotion Recognition with Event Cameras The Geometry of Refusal: Why Post-Hoc Safety Is Fragile and Pretraining-Time Safety Persists PCSDiff: Diffusion-Based Bias Correction and Super Resolution Toward Practical Operational Medium-Term Precipitation Forecast Steering Interference Reflects the Model's Defaults, Not the Behavior Directions Mind the Phase: Effective Rank and Representation Health in Legged Locomotion MSSP: Multi-Scale Spatially-Constrained Partition for Unsupervised Semantic Segmentation of 3D Point Clouds DPSF-Net: A Dual-Prior Spatial-Frequency Network for Real-World Remote Sensing Image Dehazing Re-calibrated Contrastive Loss for Transformation-Aware Prompt Conditioning in Vision-Language Models AgentDrift: A Step-Labeled Benchmark of Injection-Hijacked LLM Agent Trajectories Train Overcomplete, Deploy Compact: Scaling Recovery Capacity for Structured LLM Pruning Input-to-State Stability Framework for Fully Distributed Primal-Dual Dynamics for Quadratic GNEPs Without Multiplier Consensus AV-SafetyBench: A Safety Benchmark for Text-to-Audio-Video Generation ARNAI: Artifact Removal Network based on Autoencoding and Inpainting for Robust Spinal Image Segmentation and Measurement CIPHER: Benchmarking Cross-record Inference over Privacy-Hardened Evidence Records LoGAN: Multilingual Font Localization with Generative Agents Frequency Estimation Based on SNR-adaptive Frequency Estimator Under Wide SNR Range Aha-Flow Distillation: Flow Markers Matter in LLM Reasoning MEMOBench: A Process Level Memory Benchmark for Robotic Manipulation SpatialBlock: Enhancing Spatial Intelligence in LVLMs via Synthetic Block-Stacking Problem Ambient @ EgoProactive 2026 : Proactive Egocentric Assistance with Visually Grounded Supervision Temporal Heterogeneous Graph Transformer for Credit Card Fraud Detection AstroSpecLM: A Spectrum-Language Model for Evidence-Grounded Astronomical Spectral Analysis Discovering Natural Transformation Vulnerabilities in Black-Box Vision Models From LLM-Generated Specifications to Learned Quadruped Locomotion AgentLeak: Cloning Stronger LLM Agent Capabilities onto Weaker Agents Beyond Skill Stealing Flow3D-OPD: Multi-Teacher On-Policy Distillation for 3D Geometry Generation with Flow-Matching Diffusion Transformer FreqBLiMP: Frequency-Controlled Minimal Pairs Reveal Robustness and Fragility of LLMs Under Lexical Rarity Mind the Approximation: Fisher-Weighted SVD Compression for ViTs In-Place Instruction Following in Diffusion Language Models Deep Learning for Biopsy-Free Subtyping of Basal Cell Carcinoma from Dermatoscopic Images Tensor network representations of discrete maximum entropy distributions via mean polytopes FedRAW: Preserving Rare-Label Influence in Asynchronous Federated Learning Protocol effects on feature-based hardware-Trojan detection across Trust-Hub families Recompilation Is Not Enough: Test-Guided Decompiled-C Repair REFINE: Trajectory Representation Learning via Closed-Loop Transcription -- Extended Version Parallelism Strategy Chaining for Fast Training Convergence Towards a Resilience-Theoretic Foundation for Adversarial Robustness in Industrial Control System Anomaly Detection Mathematical Programming in Machine Learning and Artificial Intelligence: A Unified Taxonomy of Models and Applications MV-STRIDE: Enabling MLLMs to Master Multi-View Spatial Reasoning via Hierarchical Capability Modeling Query-Aware Token Budgeting for Efficient Late-Interaction Visual Document Retrieval Matryoshka Hash Representations for Model-Aware Compact Semantic Retrieval Quality Metrics for LLM-Generated Asset Administration Shells: A Perturbation-Based Evaluation Approach LANTERN: Language Model Assessment on Noisy and Transformed Tasks for Understanding Error and Robustness Nuances PLATOS: A Power and Latency-Aware Task-Oriented Scheduling Strategy for Healthcare IoT in Fog Computing PV-WM: A Heterogeneous Micro-Macro World Model for Articulated Pedestrian-Vehicle Co-Rollout Staying on the Attack Path: Structured State for Long-Horizon Automated Penetration Testing Monadic Second-Order Logic in HOL: Deep and Shallow with Automated Faithfulness (Extended Preprint) D3ARC: Time-Critical Distributed Disaster Detection for Asynchronous Cooperative Multi-Robot Systems BlueprintAgent: Constraint-Triggered Targeted Revisits for Simulation-Ready Generation from Scanned Structural Blueprints Beyond Single-Negative Preference: Multi-Negative DPO for LLM-Centric Historical Entity Linking Distributed Lag Neural Additive Models Riemannian Optimization for Multi-Player Quantum Games on Product Unitary Manifolds Federated Binary Gating with Server-Side Vision-Language Inference for Surveillance Anomaly Classification RelightFormer: Feed-forward Generative Transformer for Multiview Object Relighting Revisiting Thinning Methods for Kernel Learning Problems TabBench-Bio: A Living Benchmark for Machine Learning on High-Dimensional Biomedical Tables TASTE: Throughput-Aware Batch Size Tuning for On-Device Edge Learning Parser-Free VLM Verification for Federated Weakly Supervised Video Anomaly Detection Latent-to-Latent Flow for Volumetric Stochastic Segmentation When Superpixels Fail on Documents: A Study of Segmentation for LIME Explanations Measuring Language Transfer in Robot Policies: Adding Greek to a Cosmos3 Vision-Language-Action Policy Human mutation field reveals an equilibrium-like structure with irreversible circulation Generation of Vectorized Maps Beyond Vehicle View Zero-Shot Sim-to-Real Contact-Rich Assembly via Proprioception-Anchored Cross-Modal Pretraining We're Cooked! - Probing LLM Political Alignment Via Conflict-Framed Recipe Translation Efficient Exploration Is Enough Solution for UCF UrbanTwin LUMPI Track: Sim-to-Real Urban LiDAR 3D Object Detection Topology Obstructs Pure Foundation Neural Quantum States Large-Scale User Behavior Analysis in Multimodal AI-Assisted Manual Task Execution Beyond the Matrix Sign: Quadratic Spectral Descent Mapping the Emerging Social Science of Large Language Models ObGynLongBench: Revealing the Evidence-to-EHR Gap in Longitudinal EHR Decision-Making Decentralized Safe Multi-Agent Reinforcement Learning via Predictive Shielding Microcanonical Hamiltonian Monte Carlo and the Helmholtz Theorem Open Tabular Insight Extraction: Where Do We Stand, and Where Should We Go? Online Surrogate Repair: Decoupling High-Fidelity Feedback from Search Length in Closed-Loop Discovery Thermodynamic Cyclic Processes with Markov Samplers in Bayesian Inference How AI Models Manage Epistemic Authority: A Taxonomy and Comparative Analysis of Responses to User Disagreement No\=esis: Deterministic-First Retrieval with Two-Tier Context Hydration for Factuality-Critical Queries on Small Local Models Accuracy is Not Enough: A Divergence-Based Approach to Evaluate Fidelity Loss in Quantized LLMs Harnessing CLIP and DINO: An Uncertainty-Aware Cascaded Fusion Network for Generalizable Deepfake Image Detection From Citations to Contributions: LLM-Assisted Credit Scoring of Research Articles Your Agent Says Yes: Interpreting Adversarial Market Behavior Beyond Individual Transactions Fine PT-PT Web: A High-Quality 41 Billion Tokens Data Collection of the European Portuguese Web An emancipatory vision for designing (generative) AI for learner flourishing TFTrack: A Template-Free Framework for Efficient 3D Point Cloud Tracking Do AI Coding Assistants Check Before They Install? A Pre-Registered Demand-Side Audit of Trust Signals in the Research Software Supply Chain Bag of Tricks or Bag of Myths? Reducing Modeling Complexity with Task Knowledge in Explainable Suicide Risk Assessment CodeTD: Topology of Attention Detects Hallucinations in Code LLMs Quantifying the Engagement Trap: Impact of Short-form Video Recommender Systems on Users with ADHD Climate-ModernBERT: Revisiting Corpus Composition for Domain-Adaptive Continued Pretraining You Can't Prefer Emotions You Don't Sample: Intensity Undershoot in DPO-Tuned LLMs VoT: Vision-of-Thought for Unified Multimodal Representation Alignment Kalman Delta Networks: Uncertainty-aware Associative Memory A*-Thought-V2: Efficient Latent Reasoning via Geometric Dynamics of LLM SAFIRE: Safety-Critical Benchmark for Fine-grained Fire and Smoke Understanding in Multimodal LLMs Foundation Models for Generalizable Semantic and Goal-Oriented Communication The Accuracy Paradox: Empirical Diagnostic of Default Decision Thresholds in Multi-Label Enzyme Commission Prediction [With Code] AVCG: A Generalized Variational Framework for Counterfactual Generation under Hypothesis Distributions TDDN: Text-aligned Diffused DINO Network for Puzzle Understanding Rethinking Sign Language Translation: The Impact of Signer Dependence on Model Evaluation HyCO: A Hybrid Neural Solver for Combinatorial Optimization SAFER-Activities: A Dataset for Smart Assessment of Fall Events and Routine Activities LLMs for Social Network Modeling: From Network Generation to Dynamic Processes DISEIL: Demonstration Distillation for Sample-Efficient Imitation Learning Sparse Data Augmentation for Optimization with Provable Guarantees KBBQ: A Predictive Noise Law and the Limits of Spectrum Flattening in FP4 Quantization IGT @ FinMMEval 2026 Task 2: Question-Type Prompting with Targeted Extraction for Multilingual Financial QA Dual-Layer Semantic-Spatial Belief Mapping for Aerial Object Goal Navigation AI for AI: Optimizing Additional Infrastructure Build-out to Power Artificial Intelligence Data Centers WSPolypNet: Weakly Supervised Polyp Localization in Colonoscopy Videos 3DWay: Generalizing Robot Manipulation via 3D Consistent Waypoints CS-CLIP: Compositional Scene Graph-guided CLIP for Robust Compositional Reasoning CUNO: Curriculum and Preference Optimization for Stable Graph Unlearning under Mass Deletion CALIPER: Clean Scenes Cannot Rank Physical Inference in Pretrained Visual Representations ACEA: An Adversarial Co-Evolution Arena for Head-to-Head Red-Team and Blue-Team LLM Testing Synergistic Fusion of Topological Structure and Temporal Semantics of Mobility for Urban Region Embedding What Eviction Destroys: A Restore-Counterfactual Audit of Forgetting in Agent Memory FPicker: Topology-Guided Evolution for Filament Tracing in Low-SNR Microscopy A Measurement Study of LLM Inference Trade-offs Across Edge Continuum Hardware Exploring Bottom-Up Clustering for Creating Semantic IDs AttnCompress: Dynamic Attention-Guided Trajectory Compression for Software Engineering Agents Tracing Stereotypes from Representation to Output in Multilingual LLMs A Multi-Modal Perception Pipeline for Object Detection and Tracking in Autonomous Racing RoboCousin: Build Your Own Simulation Playground for Robust Bimanual Robotic Manipulation Segment Any Motion with Radar: Robust Multimodal Moving-Object Segmentation and Tracking IPM-FM: A Foundation Model with Consensus Feature Selection for Industrial Process Monitoring Equivariance Breaks the Learning Rate Noise Adaptive Streaming Audio-Visual Speech Token Enhancement for Robust Full-Duplex Spoken Dialogue Models Towards Embodied Air-Ground Cooperative Object Search: Benchmark, Dataset and Agentic Method Environments as Scaffold: Enriching Feedback to Bootstrap Self-Evolving Agents in Long-Horizon Tasks AirAnchor: Bridging Local and Global Spatial Information for Zero-Shot Aerial Vision-and-Language Navigation SequenceO1: End-to-End Ultra-Long (100K) Sequence Modeling in Recommendation with Low-Rank Caching Same Values, Different Languages? From Multilingual Probing to Steering LLMs Toward Chinese Social Values Do New Attention Mechanisms Actually Fix Attention Sinks at Million-Token Context? Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings The Unreliable Progress Bar: Can LLM Agents Reliably Report Task Progress Throughout Execution? Neptune: An AI model for Global Ocean Subseasonal Prediction Leveraging contextual events on structure-aware next activity prediction SynthRCT: Scalable Conditional Deformation Synthesis for Synthetic Repeat CT Generation Suan: Rectifying Direct Preference Safety Alignment in Large Language Models From Where to How: Continuous 4D Interaction Forecasting from Egocentric Video CASD: Chunk-Aligned Semantic Distillation for Multi-StageRobot Manipulation SUN: Reaching for Novelty in Reinforcement Learning Difficulty-Adaptive Tree-Structured Policy Optimization for Expanding Reasoning Coverage in RLVR TriCCOT: Tri-part Convolutional Conformal Transformer for Onboard Space Object Detection MoEMB: Scaling Universal Multimodal Embeddings with Efficient Mixture-of-Experts Models X2Streaming-ASR: wait when uncertain, emit when ready for streaming ASR BIFTA: Brain-Inspired Few-Shot Tactile Adaptation for Unknown Sensors Neither Adversarial Training Nor Purification: Emergent Adversarial Robustness from Oscillatory Predictive Learning CausalChapter: Improving Long-Video Chaptering with Interventional Dependency Modeling Hyperparameter Scaling Laws Across MoE Sparsity Kairos: A Dataset for Fine-Grained Video-Language Modeling over Space, Time, and Dynamics Benchmark Scores Are Pipeline-Dependent: A Reliability Audit of Cybersecurity LLM Benchmarks Adaptive Anisotropic Attention for Axis-Structured Signals Silent Revision: Measuring Undisclosed Change in the Safety Frameworks of Frontier AI Developers Evidence-Grounded Retrieval for Investigation Hunt Lead Generation from CTI Reports Hi-FLoop: Hierarchical State-Feedback Loops for Multi-Timescale World Modeling Earth System World Model for What-If Simulations: A Case Study for Terrestrial Ecosystems OntoKG-EQ: A provenance-grounded, competency-question-governed knowledge graph for auditable analyst querying Evaluating and Improving Evidence-Grounded Fact-Checking in LLMs via Multi-Round Evidence Ablation SQLMorph: Query Mutation and Fine-Grained Metrics for Text-to-SQL Evaluation GraphFAS: A Distributed System for Automated Graph Feature Generation and Selection in Industrial Transaction Networks Omni Interaction Agent Technical Report Transformers as In-Context Samplers: From Closed-Form Diffusion to Estimation-Free Sampling Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks It Is Not My Code Anymore The Audit Decides the Verdict: Instrument Effects Rival Demographic Bias in LLM Decision Audits Training-Free Task Vectors for LLM Behavioral Control Performance of Clinical AI System and Physicians and Frontier Language Models in primary care diagnostics ThinkPrior: Zero-Rollout Difficulty Priors for Cold-Start Prompt Selection in RLVR GoDeep: Annotation-Free Open-Vocabulary 3D Scene Understanding via Language-Space Lifting Measuring LLM Sycophancy under Sustained Multi-Turn Pressure DeCAL: Towards Physically-Grounded Dexterous Vision-Language-Action Models via Contact-Aware Latent Co-Imagination Canonical Color as a Lens into Concept Decodability in Vision Encoders and VLMs NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting TANGO: Humanoid Navigation in Cluttered Environments with a Whole-Body Vision-Language-Action Model Topology-Guided Modular Actor-Critic Learning for Continuous Systems under Temporal Objectives Inferring the Unspoken: Aligning Embodied Agents with Implicit Preferences Fewer yet critical: Reducing Redundant Token Dependencies for Transformer-based Time Series Forecasting Neutralizing Popularity Bias in LLM-based Recommendation via Counterfactual Reasoning Guidelines Evaluating Steering Techniques using Human Similarity Judgments From the Fluency Fallacy to the Micro-to-Macro Validity Gap: Opportunities and Pitfalls of LLMs in Social Simulation Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation ReST-RL: Reinforcing LLM Reasoning through Unified Self-Training and Value-Guided Search The Emergence of Social Science of Large Language Models The human-authorship halo: attribution bias in literary style evaluation by humans and AI LOBERT: Generative AI Foundation Model for Limit Order Book Messages DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems AMA: Adaptive Memory via Multi-Agent Collaboration Localizing and Correcting Errors for LLM-based Planners Aligning Language Model Benchmarks with Pairwise Preferences Do Web Agents Investigate Before They Decide? When Agents Say One Thing and Do Another: Validating Elicited Beliefs from LLMs LogicSkills: A Structured Benchmark for Formal Reasoning in Large Language Models Learning to Configure Agentic AI Systems To Mix or To Merge: Toward Multi-Domain Reinforcement Learning for Large Language Models NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines Human or Machine? A Preliminary Turing Test for Speech-to-Speech Interaction TimeWarp: Evaluating Web Agents by Revisiting the Past On the Context Sensitivity of LLM Moral Judgment What Does a System Modify When It Modifies Itself? Reducing Hallucinations in LLM-based Scientific Literature Analysis Using Peer Context Outlier Detection Learning to Focus: CSI-Free Hierarchical MARL for Reconfigurable Reflectors A Progressive Training Strategy for Embodied Vision-Language Models to Mitigate Spatio-Temporal Hallucinations CoGReV: A Confidence-Gated Post-Hoc Non-Monotonic Belief Revision Framework for Phishing Website Classification Optimal Experiments for Partial Causal Effect Identification Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning Hypergraph Enterprise Agentic Reasoner over Heterogeneous Business Systems TRACE: Trajectory Correction from Cross-layer Evidence for Hallucination Reduction Discoverable Agent Knowledge -- A Formal Framework for Agentic KG Affordances (Extended Version) Better Later Than Sooner: Neuro-Symbolic Knowledge Graph Construction via Ontology-grounded Post-extraction Correction Subliminal Learning is a LoRA Artifact How Small Can You Go? LoRA Fine-Tuning 270M-8B Models for Merchant Information Extraction in Financial Transactions ChatPlanner: A Large Language Model Framework for Personalized Public Transit Routing Teaching agentic AI to generalize expert diagnostic reasoning in rare diseases AgentFairBench: Do LLM Agents Discriminate When They Act? Symbolic Informalization: Fluent, Productive, Multilingual FinAcumen: Financial Multimodal Reasoning via Self-Evolving Experience Memory Harness A-Evolve-Training: Autonomous Post-Training of a 30B Model AI Snitches Get Glitches: Towards Evading Agentic Surveillance Humans Disengage, Reasoning Models Persist: Separating Difficulty Registration from Deliberation Allocation Context-Masked Truncated Reasoning Audits for Answer-Key Dependence in LLM Tutors Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Overthinking: Amplifying Reasoning Weights to Extract Learned Secrets Traceable Scholarship: Page Anchors and Ariadne's Thread for Humanistic Inquiry in the Age of Generative AI Towards Trustworthy Physical AI: From Theory to Practice Across Life Cycle Behavioral Grammar: Detecting Adaptive Malware via Tiny Language Model Priors and Second-Order Temporal Analysis The Illusion of Visual Tool-Use: A Causal Audit of Thinking with Images $A^2E$ : An End-to-End Agent Auditing Engine ZhuLong: Execution-Grounded LLM Agent for EDA Scripting with Offline API Self-Exploration UniMoMo: Expert Merging-Based MoE Acceleration for Large Recommendation Models Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence Privacy-Preserving RAG by Concealing Sensitive Information from External LLMs A Year in LLM Serving: Workload Evolution, Caching and Load-Balancing A concentration result for multilayer feedforward neural networks From Contexts to Values: Context-Dependent Defeat in Abstract Argumentation Dear Algo: A Precision-First Agentic Intent Layer for Unified Search and Recommendation Competing at Every Price Point with Agentic Evolution over a Menu of LLMs Process-Constituted Intelligence: A Shared Criterion for Humans and Machines On the Fragility of Self-Improving Agents: Variance, Task Order, and Underspecification Robust Metaheuristics under Uncertainty for Berth Allocation and Quay Crane Assignment: A Review Scientific Data Skills: Enabling Agent-Ready Scientific Data Services at Scale Who Delegates to AI? Evidence from Agent Configurations in Github Natural-Language-Guided Generator-Agnostic Shortlisting for Protein Binder Design Does Rank Still Matter? Position Bias When AI Agents Shop on Our Behalf Walking on the DARKSIDE AI Agents Push Humans Out of the Loop A Behavior-Guided Online Probabilistic Forecasting Method for Electric vehicle Charging Loads post-graph-rag: A PostgreSQL-Native Bi-Temporal Graph RAG Engine with Temporal Grounding at Synthesis LLMs Can Design Near-Optimal OR Algorithms Evidential-Based Higher-Order Set Argumentation Framework Logos: An Agent Harness on a Cross-Process Bus Localizing Emergent Failures in Agentic AI: Recovering Minimal Repair Families via Counterfactual Replay Extending TotalSegmentator: Predicting Patient and Acquisition Characteristics from CT and MR Images EvoGenUI-Bench: Evaluating LLMs as Multi-Turn Generative UI Assistants Balance of Benchmarks: Semantic Density Reweighting for Benchmark Multiplicity and Task-Conditioned Evaluation Rethinking the Test-Time Prompt Tuning Objective from the Perspective of Calibration When Prediction Error Is Not Enough: Evaluating Nuisance-Function Prediction for Causal Estimation MiNER: Fine-Tuned Biomedical Natural Language Processing for Malaria Disease Entity Recognition in Clinical Texts ReDeck: Step-Level Render-Grounded Refinement for Document-to-Slide Generation StudyBench: Can Self-Evolution Squeeze Textbooks for Olympiad Capability? Benchmarking Language Models for Statistical Problem Formulation Dude: A Dual-Detection Multi-Agent System for Paper-Code Discrepancy Detection NeoRed: A Knowledge-Logic-Alignment Multimodal Large Language Model for Neonatal Respiratory Disease Diagnosis Feature Reconfiguration With Visual Prior for Medical Lesion Segmentation EXAONE Finance 1.0: An Attention-free Time Series Foundation Model for Financial Time Series Data-Driven Discovery of Composition-Dependent Constitutive Models for Hyperelasticity and Viscoelasticity of Digital Materials Does the Selected Object Reach the Reader? Auditing Identity Handoffs in Grounded Language-Model Pipelines MM-IFEval-Pro: A Multilingual and Attack-Resistant Benchmark for Instruction-Following in Vision-Language Models TruthInsightBench: An Evidence-Grounded Benchmark for Automated Evaluation of Open-Ended Scientific Discovery Agents Necessary or Sufficient? Evaluating LLM Explanations With Behavioural Evidence Information entropy as an anthropomorphic concept Instance-wise Linearization of Neural Network for Model Interpretation KTO: Model Alignment as Prospect Theoretic Optimization Provable Pluralistic Alignment: Multi-Party RLHF under Offline Human Feedback Attribution in Scientific Literature: New Benchmark and Methods Precision at Scale: Domain-Specific Datasets On-Demand Policy Gradients for Cumulative Prospect Theory in Reinforcement Learning FATS: A Prompt Injection Attack Utilizing Feign Security Agents with Deceptive Few-shots Learning How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits DUA-D2C: Dynamic Uncertainty Aware Method for Overfitting Remediation in Deep Learning Fine-Grained Instruction-Guided Graph Reasoning for Vision-and-Language Navigation D-ADD: An Effective Plug-In for Defending Against Model Stealing ChatBEV: Empowering Traffic Scene Understanding and Simulation via Vision-Language Model HoarePrompt: Structural Reasoning About Program Correctness in Natural Language Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models SAEs Can Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs Clinician-Friendly Foundation Models for Ophthalmic Image Diagnostics without Fine-Tuning or Technical Barriers Evaluating the Scalability and Adversarial Generalization of GRPO-Trained NLI Models How to Backdoor Image Knowledge Distillation A Theoretical Analysis of Provable Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition Beyond Retrieval: Joint Supervision and Multimodal Document Ranking for Textbook Question Answering Efficient and Microphone-Fault-Tolerant 3D Sound Source Localization From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences Q-Guided Stein Variational Model Predictive Control via RL-informed Policy Prior Adaptive Nonlinear Vector Autoregression: Robust Forecasting for Noisy Chaotic Time Series PiMRef: Deducing Ever-evolving Spear-phishing Emails with Knowledge Base Invariants Introducing HALC: A general pipeline for the systematic and reliable construction of prompts for automated coding with LLMs in the computational social sciences Experimental Analysis of Productive Interaction Strategy with ChatGPT: User Study on Function and Project-level Code Generation Tasks When Tools Hurt LLM Reasoning: State-Dependent Belief Revision under External Evidence MCANet: A Multi-Scale Class-Specific Attention Network for Multi-Label Post-Hurricane Damage Assessment Using UAV Imagery Knowledge-Guided Vision-Language Inference for Image-Based Urban Flood Depth Estimation Positional Encoding via Token-Aware Phase Attention S$^3$F-Net: A Multi-Modal Approach to Medical Image Classification via Spatial-Spectral Summarizer Fusion Network AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Robust Phonocardiogram Classification Fusing Sequence Motifs and Pan-Genomic Features: Antimicrobial Resistance Prediction using an Explainable Lightweight 1D CNN-XGBoost Ensemble DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space SQS: Bayesian DNN Compression through Sparse Quantized Sub-distributions BaNEL: Exploration Posteriors for Generative Modeling Using Only Negative Rewards CogniDir: Combating Cognitive Malicious Comments via Adaptive Distributional Learning for Robust Fake News Detection Audio-Maestro: Enhancing Large Audio-Language Models with Tool-Augmented Reasoning ConsistencyAI: A Benchmark to Assess LLMs' Factual Consistency When Responding to Different Demographic Groups Agentic Inequality Deep Active Inference with Diffusion Policy and Multiple Timescale World Model for Real-World Exploration and Navigation Reinforcement Learning Improves Traversal of Parametric Knowledge in LLMs PAN: A World Model for General, Actionable, and Long-Horizon World Simulation Unveiling Hidden Threats: Using Fractal Triggers to Boost Stealthiness of Distributed Backdoor Attacks in Federated Learning Patent Representation Learning via Self-supervision Resolving sources of uncertainty in AI weather forecasting SAGE: Shape-Adapting Gated Experts for Adaptive Histopathology Image Segmentation Tracing Mathematical Proficiency Through Problem-Solving Processes Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution Diffusion Model in Latent Space for Medical Image Segmentation Task Knowing Your Uncertainty -- On the application of LLM in social sciences DL$^3$M: A Vision-to-Language Framework for Expert-Level Medical Reasoning through Deep Learning and Large Language Models Alpha-R1: Alpha Screening with LLM Reasoning via Reinforcement Learning Who Laughs with Whom? Disentangling Influential Factors in Humor Preferences across User Clusters and LLMs MedGround: Bridging the Evidence Gap in Medical Vision-Language Models with Verified Grounding Data FigEx2: Visual-Conditioned Panel Detection and Captioning for Scientific Compound Figures GIFT: Reconciling Post-Training Objectives via Variational Finite-Temperature Gibbs Initialization Safety boundary maintenance in consumer AI systems responding to pediatric health queries: a cross-platform benchmark evaluation under naturalistic and adversarially pressured conditions A New Strategy for Artificial Intelligence: Training Foundation Models Directly on Human Brain Data An Evolutionary Framework for Automatic Optimization Benchmark Generation via Large Language Models TangramPuzzle: Evaluating Multimodal Large Language Models with Compositional Spatial Reasoning SFO: Learning PDE Operators via Spectral Filtering Hypersolid: Emergent Vision Representations via Short-Range Repulsion More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD) Can One-Shot Test-Time Data Augmentation Help with Generalization? TimeBlind: A Spatio-Temporal Compositionality Benchmark for Video LLMs Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models Boosting LLM Reasoning via Human-Inspired Reward Shaping Parity, Sensitivity, and Transformers AGMark: Attention-Guided Dynamic Watermarking for Large Vision-Language Models BETA-Labeling for Multilingual Dataset Construction in Low-Resource IR Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets US-JEPA: A Joint Embedding Predictive Architecture for Ultrasound CTC-TTS: LLM-based dual-streaming text-to-speech with CTC alignment CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation Asking the Right Questions: Ontology-Grounded Interpretable Embeddings for Biomedical Text KDFlow: A User-Friendly and Efficient Knowledge Distillation Framework for Large Language Models Spatiotemporal Heterogeneity of AI-Driven Traffic Flow Patterns and Land Use Interaction: A GeoAI-Based Analysis of Multimodal Urban Mobility AtomicVLA: Unlocking the Potential of Atomic Skill Learning in Robots AdaCultureSafe: Adaptive Cultural Safety Grounded by Cultural Knowledge in Large Language Models Real-Time Driver Safety Scoring Through Inverse Crash Probability Modeling ASDA: Automated Skill Distillation and Adaptation for Financial Reasoning Adapting Technical-Service LLM Agents with Latent Logic Augmentation, Robust Noise Reduction, and Hybrid Reward Modeling FILT3R: Latent State Adaptive Kalman Filter for Streaming 3D Reconstruction Alignment Whack-a-Mole : Finetuning Activates Verbatim Recall of Copyrighted Books in Large Language Models DSPA: Dynamic SAE Steering for Data-Efficient Preference Alignment PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset UniQueR: Unified Query-based Feedforward 3D Reconstruction Can We Change the Stroke Size for Easier Diffusion? Building evidence-based knowledge bases from full-text literature for disease-specific biomedical reasoning Many-Tier Instruction Hierarchy in LLM Agents Attention-Weighted Value Projection for KV-Cache Compression MAST: Mask-Guided Attention Control for Training-Free Regional-Multi Style Transfer PAC-CF: Calibrating Irreversible Frontier Pruning in LLM-Guided Search Compressing Sequences in the Latent Embedding Space: $K$-Token Merging for Large Language Models AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation Latent Preference Modeling for Multi-Session Personalized Tool Calling Partner-aware Peptide-Protein Interaction Prediction and Target-conditioned Peptide Generation Behind Harmful Compliance: Behavioral and Mechanistic Divergence Across LLM Jailbreaks Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring AgentLens: Adaptive Visual Modalities for Human-Agent Interaction in Mobile GUI Agents Compliance vs. Sensibility: On the Reasoning Controllability in Large Language Models Deep Learning-Based Segmentation of Peritoneal Cancer Index Regions from CT Imaging Semantic Context-aware mOdality fUsion Transformer (SCOUT): A Context-Aware Multimodal Transformer for Concept-Grounded Pathology Report Generation RAG over Thinking Traces Can Improve Reasoning Tasks Aes3D: Aesthetic Assessment in 3D Gaussian Splatting PersonaTeaming: Supporting Persona-Driven Red-Teaming for Generative AI FragileFlow: Spectral Control of Correct-but-Fragile Predictions for Foundation Model Robustness HeteroGenManip: Generalizable Manipulation For Heterogeneous Object Interactions An agentic framework for gravitational-wave counterpart association in the multi-messenger era Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why The Transformer as a Polar State Estimator WildRelight: A Real-World Benchmark and Physics-Guided Adaptation for Single-Image Relighting CRePE: Curved Ray Expectation Positional Encoding for Unified-Camera-Controlled Video Generation Do LLMs Hold Their Values? MANTA: A Multi-Turn Adversarial Benchmark for Animal Welfare Reasoning EmoMind: Decoding Affective Captions from Human Brain fMRI Generating Pretraining Tokens from Organic Data for Data-Bound Scaling Concise and Logically Consistent Conformal Sets for Neuro-Symbolic Concept-Based Models EPC-3D-Diff: Equivariant Physics Consistent Conditional 3D Latent Diffusion for CBCT to CT Synthesis SymbolicLight V1: Spike-Gated Dual-Path Language Modeling at High Encoder Spike Sparsity PocketAgents: A Manifest-Driven Library of Autonomous Defense Agents EmoTrack: Clinical-Semantic Modeling for Text-Based Depression Severity Estimation More Context, Larger Models, or Moral Knowledge? A Systematic Study of Schwartz Value Detection in Political Texts MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing Clarify, Abstain or Answer? Strategising in Conversation with Belief-Augmented Generation Reasoning Depth and Environment Complexity: A Controlled Study of RLVR Data Allocation across Logical Reasoning Tasks LitSeg: Narrative-Aware Document Segmentation for Literary RAG Reading or Guessing? Visual Grounding Failures of Vision-Language Models for OCR in Ancient Greek Editions Models That Know How Evaluations Are Designed Score Safer A Fresh Look at Lamarckian Evolution and the Baldwin Effect The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer HoliTok: A Continuous Holistic Tokenization with Robust Dual Capabilities of Speech Generation and Understanding LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback Gradient-Free Training of Spiking Neural Networks via Low-Rank Evolution Strategies Linear Separability of Activation Representations after Supervised Fine-Tuning on Incorrect Responses: A Study of Synthetic Dishonesty in Large Language Models LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysis Learning to Construct Practical Agentic Systems From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models Spike-Aware INT8 Execution for Spiking Language Models on Commodity CPUs SymTRELLIS: Symmetry-Enforced Voxel Latents for 3D Generation Adaptive Calibration for Fair and Performant Facial Recognition Rollout-Level Advantage-Prioritized Experience Replay for GRPO QO-Bench: Diagnosing Query-Operator-Preserving Retrieval over Typed Event Tuples When New Generators Arrive: Lifelong Machine-Generated Text Attribution via Ridge Feature Transfer TAM: Torque Adaptation Module for Robust Motion Transfer in Manipulation In-Context Multiple Instance Learning HAARES Half-Split Residual Basis Routing for Deep Transformers AgentServeSim: Serving-System Simulation and Policy Search for LLM Agent Programs What Matters in Orchestrating Robot Policies: A Systematic Study of Hierarchical VLA Agents Spatial-Omni: Spatial Audio Understanding Integration in Multimodal LLMs via FOA Encoding OdysSim: Building Foundation Models for Human Behavior Simulation Improving Federated Graph Recommendation with Semantic Guidance T-Mem: Memory That Anticipates, Not Archives Robust Dual-Signal Fusion: Hybrid Neuro-Symbolic Gating with Compressed Chain-of-Thought Refinement for Irony Detection in Social Media Texts Complexity and Scale in AI-Assisted Workflow Management: A Federated Learning Case Study Cost-Optimal LLM Routing with Limited User Feedback under User Satisfaction Guarantees Agentic Electronic Design Automation: A Handoff Perspective Scaling Audio Models Efficiently: A Joint Study of Compute Constraints and Optimization Behavior Field-level weak lensing cosmology with $60$ simulations using multifidelity simulation-based inference Discovering Latent Groups for Robust Classification Play2Perfect: What Matters in Dexterous Play Pretraining for Precise Assembly? HAT-4D: Lifting Monocular Video for 4D Multi-Object Interactions via Human-Agent Collaboration SafeGEO: Understanding Generative Engine Optimization Risks in Recommendation Agents SEATauBench: Progressively Adapting Tool-Agent-User Evaluation Into Low-Resource Southeast Asian Languages Adaptive Densification for High-Fidelity and Efficient Sparse Gaussian Splatting in Arbitrary-Scale Super-Resolution Resonant Brane Splatting for Arbitrary-Scale Super-Resolution TF-MoE: Time-Frequency Mixture-of-Experts for Efficient Speech Separation Unsupervised Thermodynamics of Molecular Diffusion Models: Action-Operator Semantics and Auditable Free-Energy Readout PruneGround: Plug-and-play Spatial Pruning for 3D Visual Grounding Streaming LRAT Certificates into Lean Theorems Challenges and Recommendations for LLM-as-a-Judge in Multilingual Settings and for Low-Resource Languages Reasoning effort, not tool access, buys first-try reliability in agentic code generation: an observational study Do All Visual Tokens Matter Equally? Object-Evidence Preserving Token Merging for Vision-Language Retrieval Jetson-PI: Towards Onboard Real-Time Robot Control via Foresight-Aligned Asynchronous Inference Limits of Reliability and Scaling in Language Models Decision Making Needs Uncertainty Quantification [Lecture Notes] Probing Speaker Identity Sensitivity in Audio Deepfake Detectors Where Is the Tradeoff in Using Third-Party API Routers for Agentic Software Development? ReLATE: Reliability-Guided Evidence Fusion for Robust UAV--Satellite cross-view Geo-Localization Parameter-Free Dynamic Regret under Heavy-Tailed Noise A False Average: Chain-of-Thought Monitors Collapse Where They Are the Only Defense An AI-Based Decision-Support Pipeline for Day-Ahead Photovoltaic Forecasting CUADebug: Diagnosing and Repairing Computer-Use Agent Failures TRNet: Learning with Topographic Priors for VHR Paddy Rice Mapping Hierarchical Server Architecture for Agentic Science Turing's First Imitation Game: Design Concepts and a Human-Approximates-Machine Reading DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology Epistemic Transfer in AI-Assisted Verification: A Framework and Evaluation Protocol How to Verify Probabilistic Consistency of Predictive Models Adversarial Resilience of Poisson-Process Submodular Maximization over Matroids, and Full-Bandit Learning CLAIR-Fin: An Adversarial Multi-Agent Framework for Claim-Level Verification and Adaptive Debate in Cross-Modal Financial QA Low-Rank Dynamics-Effective Latent Carriers for Counterfactual Rollout in Learned World Models Bit-Flip Attacks on Vision-Language-Action Models: Action-Decoding Architecture Shapes the Vulnerability HiPHI: A Large-Scale Benchmark for High-Precision Human Motion and Object-Interaction Decoupled Temporal Encoding for Generative Recommendation Breaking Planner Integrity Boundary: Enviroment State-Text Injection Attack on LLM-Driven Embodied Agents CaliBench: Are the Stochastic Dynamics of Video World Models Physically Calibrated? Self- and Other-Labels Induce Bidirectional Bias in LLM Judges DeepWeaver: Bridging the Evidence Synthesis Gap in Open-Ended Question Answering VA-DPO: Valence-Arousal Direct Preference Optimization for Controllable Emotion Generation in Language Models Decision Tree and K-Means Analysis of Raman Spectra for Edible Oils: A Physics-Informed AI Approach WA-JEPA: Rethinking the Video JEPA Paradigm for World-Action Modeling in Autonomous Driving CIVA: Critic-Induced Value-Subspace Attacks on Visual World-Model Agents Anchored Regularized Direct Least Squares (ARDLS): Integrating Established Prioritization Operators for Priority Elicitation in the Analytic Hierarchy Process Spending Scarce Confirmatory PET Measurements: Target-Aligned Validation in A4/LEARN Rank Reversal in Multilingual LLM Judges: A Label-Free Double-Centering Calibrator Deep Learning-Based Multi-User Communication Design for Dense IoT Networks: Interference-Aware Finite-Blocklength Communication and Preliminary MIMO Extensions SplitLite: Low-Rank Residual Compression for Split Learning IterCAD: Iterative Program Repair for CAD Code Generation from Orthographic Views When Do Supervised UQ Ensembles Improve LLM Hallucination Detection? A Robustness Study On-policy Distillation with Verifiable Reward Fusing Perceptual Vision Experts with Multimodal Large Language Models for Explainable Plant Disease Diagnosis: From Benchmark Imagery to Real-World Robotic Field Validation Generative Action-Chunk Sampling for Adaptive Stiffness Control in Physical Human-Robot Collaboration Token-Oriented Semantic Communication with Pretrained Vision Transformers Unfolding Scientific Papers into Multi-Turn Generation Trajectories for Continued Pre-Training When the Canonical Completion Is Wrong: Formalizing and Measuring the Jump in Large Language Models Co-Evolving Structured Knowledge and Reasoning in Language Models When Text Misleads: Inconsistent-Aware Reasoning for Audio-Grounded Dialogue Successive Capacity Growth: Task-Complexity-Driven Width and Depth Expansion for Vision Transformer Encoders in JEPA World Models RedEvoAgent: Automatic Red-Teaming Agent with Experience-Driven Skill Evolution Actionable CBFI: Integrating Structural Decomposition and Causal Counterfactual Recourse for Tabular Machine Learning When Can Conditional Flow Matching Replace Pointwise Negative Log-Likelihood? VICT: Verifier-Instrumented Credit Tracing for Long-Horizon LLM Agent Reinforcement Learning SHADOWBENCH: Toward Reliable Automatic Evaluation of Semantic Alignment in Autoformalization Improving Randomized Metric Distortion to 2.1441 StageWell: A Process-Aligned Chinese Corpus for Positive-Psychology Support Dialogue Error Detection for PET/CT Radiology Reports: Domain-Specific vs Large Language Models Dec-BFTRL: Squre-Root Regret for Decentralized Online Upper-Linearizable Optimization under Separation Access with Application to Continuous Submodular Maximization CoJEPA: Combining Contrastive Learning and JEPA for Global-Local Music Representations ReNFT: Repairing Mode Collapse in Reward Post-Training via Internal Probability-Mass Recalibration Assessing Alignment and Stability of Feature Importance Explanations via Weight of Evidence EEG-VID: Task-Guided Latent Predictive Pretraining for EEG Decoding and Assistive Target Selection Text-guided flow matching enables sample-efficient crystal structure generation StateSwap: Probing Support-Elimination Hidden States in Multiple-Choice Questions Ranked by the Matcher: A Reproducibility Audit of Knowledge Graph Extraction from Threat Reports From Tokens to Semantics: Leveraging Complementary Signals for Hallucination Detection in Black-Box LLMs Reducing Catastrophic Risk from AI with Systematic Monitoring and Evaluation of Rogue AI Progression Air-Ground Collaborative Vision-and-Language Navigation via Shared Bird's-Eye Maps ToolDF: Tool-Integrated Reasoning for Mixed-Authenticity Audio Deepfake Detection EraseSAE: Surgical Concept Erasure in Text-to-Video Diffusion Models via Sparse Autoencoders Almost Free State Prediction Separation A Blind Trust, the Bloody Thrust: When Attacker-Controlled Hook Updates Steer AI Agent Harnesses towards Malicious Behaviors MCPO: Modality-Contrastive Preference Optimization for Multimodal Chain-of-Thought Compression How a Chatbot's Response Style Shapes a Classroom: A Multi-Agent Simulation of Students Consulting AI Ask Before You Optimize: Dynamic Pre-Formulation Clarification for Interactive OptimizationGithub Trending (Python)
ayghri/i-have-adhd openai/skills microsoft/markitdown browser-use/browser-use The-Swarm-Corporation/AutoHedge Free-TV/IPTV TauricResearch/TradingAgents 0x4m4/hexstrike-ai HKUDS/Vibe-Trading PostHog/posthog hpcaitech/Open-Sora AgriciDaniel/claude-ads rohitg00/ai-engineering-from-scratch neka-nat/freecad-mcp k2-fsa/OmniVoice Zie619/n8n-workflows shareAI-lab/learn-claude-code experientiallabs/experientialGithub Trending (C)
armory3d/armorpaint doldecomp/melee Mbed-TLS/mbedtls maxsteeel/nomount meshcore-dev/MeshCore Sor3nt/Flipper-Zero-ESP32-Port dayanch96/YTMusicUltimate HarbourMasters/Shipwright kingToolbox/WindTerm RT-Thread/rt-thread tianocore/edk2 DeusData/codebase-memory-mcp JustVugg/colibri pgvector/pgvector openwall/john DaveGamble/cJSON asterisk/asterisk bol-van/zapret2CNN
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A grim report card for the world’s schools Trump’s midterm strategy: More Trump Republicans suffered a stunning Supreme Court loss. It lasted minutes. America is built for driving. There’s hidden demand for something better. Trump’s Smithsonian vendetta, briefly explained Why Iowa is a state to watch in the midterms The mystery at the heart of Trump’s trade war How Christians can fight back against Christian nationalism Your food may be safe. Its packaging is another story. Data centers are bringing Americans togetherAl Jazeera
Netanyahu to sue Haaretz over claims UAE warned him before October 7 attack Why is Iran bombing Jordan’s Al-Azraq base? Trump vows to be at centre of US midterms: Republican convention takeaways Thousands protest in Ljubljana as Slovenia opens Israel’s first embassy Several dead, dozens missing after ferry fire in Philippines tourist spot Apple unveils first-ever foldable iPhone Duo Tunisian flotilla activists remain jailed as hunger striker worsens Pro-Israel Democrat John Fetterman makes video appearance at GOP convention Trump gave aide Natalie Harp a $45,000 holiday cash gift, disclosure shows Spain’s spy agency warned of mass crossings into Ceuta before border crisis US states sue Trump over weakening of endangered species protections Republicans divided over Trump’s economy as RNC begins Trump administration proposes excluding certain immigrants from US census Iran war live: Iran media say ‘enemy’ projectiles hit Sirik areas US announces $45m in security funding, additional naval vessels for Ecuador Trump says the US-Iran war will end right after midterms Iran war looms over Trump at Republican midterm convention in Dallas Gauff beats Andreeva to reach US Open semifinals in comeback win ‘Everyone’s had their holidays ruined’: outrage after UK airport chaos US court denies Tate brothers’ bid to be released from Miami jail Misfiring Arsenal beat Napoli with Odegaard stunner in Champions League Manchester United vs Sabah: UEFA Champions League – preview, team news Liverpool come back to beat Atletico Madrid 2-1 in Champions League opener Trump says Iran war ‘will end immediately’ after US midterm elections Guterres pays tribute to Qatar’s late Father Emir at UN ceremonyArs Technica
4 groups caught using the same Chrome and Windows exploit kit Europe may finally have found a space entrepreneur who is meeting the moment Six Chinese AI firms accused of aggressively copying US frontier models Apple's long-rumored foldable becomes reality with the $2,000 iPhone Duo When it comes to Beatles references, scientists can't let it be Lawsuit: Amazon refused to give pregnant workers bathroom breaks and chairs Apple debuts $129 AirPods 5 with better noise cancellation and transparency mode Apple starts preorders for Watch Series 12, Ultra 4 with new Health Sensing System The quick guide to fall vaccines and when you should get them Apple's iPhone 18 Pro adds variable camera aperture and a more powerful chip Popular navigation apps unlikely to ditch Mercator maps despite UN resolution Anthropic researcher quits with a warning: Self-improving AI could "kill us all" Prime Video releases full trailer for Mike Flanagan's Carrie Google's AI genome system evaluates every possible one-base change NOAA is putting commercial fishing ahead of conservation Man told ChatGPT he was feeling delusional. ChatGPT insisted he was Jesus. LG TV shown scanning LAN for third-party phones and other devices GOG brings back "big box" PC games, one printable template at a time Why this month's Microsoft patch release is a doozy The universal language of space is... Star Trek? Mais oui.Slashdot
Anthropic Reveals Fourth Likely Crime Committed By Its AI Google to Invest Record $15 Billion In AI Infrastructure In Finland Apple's New iPhone Camera Mode Promises to Prove Your Photo Isn't AI Anthropic Researcher Believes More Than 10% Chance AI 'Could Kill All Humans' OpenAI's Rogue Agents Used At Least 10 More Sites For Unauthorized Communications Apple Launches iPhone 18 Pro With Variable-Aperture Camera System Apple Unveils the iPhone Duo, Its First Foldable iPhone Microsoft Breaks Another Patch Tuesday Record GOG Brings Back 'Big Box' PC Games, One Printable Template At a Time Google's Revived Nuclear Power Plant Gets $1.9 Billion Loan From US Government OpenAI Says It Has Cracked One of Math's 'Millennium Problems' Star Trek Turns 60 Google Will 'Degrade' Search In Europe to Avoid EU Fines Feds Accuse China of 'Systematic' Distillation of US AI Models Meta Debuts Muse, Its Long-Planned Personal AI AgentSmithsonian Magazine
Archaeologists Excavating a Roman-Era Cemetery in Poland Were Surprised to Stumble Upon a 5,000-Year-Old Necklace Made of 42 Teeth To Researchers' Surprise, This Giant Dinosaur Laid Eggs in a Cold Climate How Taiwan Became One of Asia's Most Surprising Sustainability Stories Peptides Are All the Rage, Promising Miracle Cures and Makeovers Delivered by Injection. How Did We Get Here? This Hospital Ship Sank Off Albania's Coast During World War II. Now, It’s Teeming With Marine Life The Real Story Behind 'The Uprising' and the 1381 Peasants' Revolt, When Thousands Marched on London to Demand a Fairer Society World’s Largest Collection of Serial Killer ‘Murderabilia,’ From John Wayne Gacy to H.H. Holmes, Opens in Chicago Stealing Candy From Children, Splash-Proof Urinals and Buried Panties, Oh My! Here Are the Winners of the 2026 Ig Nobel Prizes Thieves Broke Into a French Museum and Made Off With Renoir Paintings Worth More Than $2.5 Million These Adorable, Critically Endangered Pygmy Raccoons in Cozumel Are Teaching One Another to Turn Trash Into Toy BallsInfoQ
Meta's Recipe for Building Agents as "Organizational Second Brains" Presentation: Fixing the AI Infra Scale Problem by Stuffing 1M Sandboxes in a Single Server Azure Virtual Desktop Hybrid Reaches GA with Licensing Details Unpublished vim.async's Addition Modernizes Neovim’s Async Architecture for Better Stability HashiCorp Packer 1.16 Adds Native SLSA Provenance Generation and Verification for Machine Images Presentation: Platform Engineering in the Age of AI GitLab Warns That AI Agent Sandboxes Are Only as Secure as Their Network Access Presentation: A Solopreneur's Journey: From Engineer to Puzzle Master and Storyteller Article: Implementing Chaos Engineering in Financial Payment Systems: Lessons from Enterprise ECS Deployments Does ICANN Open the Door on Identity Theft by Dropping 3rd Level .name Domains Registrations? Netflix Moves toward Open Source Flink Autoscaler for 30,000+ Streaming Jobs Presentation: From AI Agent Demo to Production: Automated Testing and Evaluation Zone Redundancy Comes to API Management Standard v2 CERN Renounces RHEL in Favor of Debian for its Accelerator Controls Infrastructure vlt 1.0 Ships as a Drop-in npm Replacement with Phased Installs, Graph Queries, and Malware-BlockingDynomight
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 stuff I guess I was wrong about AI persuasionMarginal Revolution
What should I ask Kevin Roose? Wednesday assorted links Next Wins Appeal Reading sentences to ponder Reasons to go to college Tuesday assorted links Some Navier-Stokes updates No Doing, No Learning Ed Elson and Scott Galloway interview me on AI Will new transportation technologies increase urban density? South Korean aspirational markets in everything Monday assorted links Capital gains vs. wealth taxes Emergent Ventures winners, 59th cohort Insurance price sentences to ponderNot Boring
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 #203 Weekly Dose of Optimism #202 Senra Systems: Harnessing Human Skill Weekly Dose of Optimism #201 Weekly Dose of Optimism #200 America's Next 250 Weekly Dose of Optimism #199 Weekly Dose of Optimism #198 Weekly Dose of Optimism #197 Return on Tokens (ROT)Coding Horror
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 Systems An Exercise Program for the Fat WebQuanta Magazine
What Is Math’s Mysterious Langlands Program Really About? AI Has Solved One of Math’s $1 Million Millennium Prize Problems Live from ICM 2026: What Is Math For in the Age of AI? In an Age of AI, a Physicist Seeks What Endures Genome Duplication Is a Radical Evolutionary GambleScience Daily
Scientists find a bone-building switch that could fight osteoporosis Interstellar comet 3I/ATLAS is bursting with methanol Have we found alien life? Hundreds of scientists weigh in Ozempic and Wegovy linked to nearly 40% fewer asthma attacks Devil’s Arrows: Ancient builders hauled 55,000-pound stones 11 miles for Britain’s tallest stone row Chinese scientists find a hidden atomic structure that unlocks methane “Parachute science” is failing the tropics, home to more than 80% of insect species Caffeine may flip an ancient cellular switch linked to slower aging Geologists reveal the Americas collided millions of years earlier than thought Scientists discover a powerful new antivenom hidden in rattlesnake blood Giant new dinosaur discovered beneath construction site in Brazil Ozempic and Wegovy may have an unexpected mental health benefit Dark energy debunked? Cosmic acceleration may be an illusion The American “cheetah” wasn’t a cheetah at all Astronomers detect ancient hydrogen signal that could help map the Universe Your personality may be more genetic than scientists realized Scientists observe Einstein’s gravity in the quantum world for the first time Common dry-cleaning chemical linked to triple the risk of liver scarring Doctors saved this rare monkey from amputation. Months later, she gave birth Cancer cases could surge 67% worldwide by 2050 Scientists say love follows hidden mathematical rules A War of 1812 soldier buried his own arm. His real story is even stranger Scientists discover a hidden immune signal that helps spinal cords regrow Cialis linked to higher glaucoma risk in large study Scientists find a way to slash computer memory energy use by orders of magnitude Your gut microbiome may be more contagious than scientists thought Antarctica gained a record 695 billion tons of ice. Scientists found the surprising reason Popular brain supplement linked to shorter lifespan in men A mysterious signal around Earth could be dark matter Scientists find breast cancer cells hiding behind protective “shields” Scientists find a new weakness in treatment-resistant prostate cancer A longer exhale may push your brain toward bolder decisions Indonesia’s most dangerous fires are burning underground Giant Greenland iceberg slams into Joe Island and survives Dark matter detector finds a strange signal scientists can’t yet explain Life uses 4 DNA letters. Scientists just made 8 work Scientists reveal the hidden instructions that build the human brain Scientists discover a hidden problem with this popular sugar substitute MIT scientists develop injectable “mini livers” that work inside the body This lifestyle program improved cognition 55% more than basic health advice Scientists find a weak spot in one of the deadliest brain cancers 80,000-year-old “arrowheads” rewrite human history NASA scientists discover a giant 10-sided pattern on Saturn An important step towards detecting fractons in quantum spin liquids Compound in blueberries may help muscle cells burn excess fat Scientists discover a bizarre “devil flower” hidden in Thailand AI can now control fusion plasma faster than humans can react Stanford scientists discover a seafood that can reverse signs of aging Ancient “living fossils” may reveal how complex life began New injectable treatment helps the brain rebuild after stroke Scientists overturn a theory about this shark’s strange head This “new” frog was hiding in plain sight for 100 years September brings a dazzling Venus and a glowing Harvest Moon Extreme drought now covers 44% of Puerto Rico New Mexico’s largest reservoir plunges to just 1.4% full Heart disease and kidney disease can fuel each other. New guidelines aim to break the cycle The universe has plenty of hydrogen. So why is star formation collapsing? Too much coffee may weaken bones, study finds Each extra hour of prolonged sitting linked to 9% higher cancer death risk Harvard scientists turn knitting into shape-shifting smart fabricSpaceflight Now
Live coverage: SpaceX to launch classified payload for the U.S. Space Force SpaceX launches 80th Starlink mission of 2026 SpaceX launches Starlink mission from West Coast Roman Space Telescope, NASA’s next ‘great observatory,’ launched SpaceX launches 27 Starlink satellites on Falcon 9 rocket from Vandenberg SpaceX launches Starlink mission on a Falcon booster’s record-breaking 37th flight SpaceX launches 100th orbital mission of 2026 SpaceX launches 29 Starlink satellites from Cape Canaveral following last-minute scrub LandSpace becomes first commercial Chinese company to land an orbital-class booster Astronauts remove failed antenna; run out of time to install a spareSpace Daily
Hoover Dam was cast in columns because one solid pour would take 125 years to reach air temperature Standard stellar-evolution models predict few black holes born directly between about 60 and 130 solar masses, yet GW231123 appeared to involve objects of roughly 137 and 103 solar masses. A new analysis argues that gravitational lensing magnified and distorted the signal, making the merger appear closer—and therefore intrinsically heavier—than it was. Under this still-unconfirmed interpretation, its combined mass falls from 190–265 to 100–180 Suns, making the system far less extreme. The London firm that made the pair of brass bells set up by an Oxford clergyman in 1840 wrote that the batteries behind them would normally last only three or four years. The clapper, 4 millimeters across, is still crossing between the two bells twice a second, and nobody has opened the batteries to see exactly what is inside. In Stockholm, the heat pouring off the city’s data centres is no longer wasted but piped into the district heating network, enough to warm around 30,000 apartments a year, which means the warmth thrown off by people streaming films and storing photos now quietly heats thousands of homes across the city. Olympus Mons grew so massive that parts of its lower flanks catastrophically collapsed, sending broken rock sliding hundreds of kilometres across the Martian plains—possibly lubricated when hot lava melted buried ice. Researchers placed 650 geophones along Yellowstone’s roads and sent a vibrating truck to 110 different spots to deliberately shake America’s most-visited supervolcano, and the echoes revealed a layer 2.4 miles down that is roughly 86 percent solid rock. In 1962, Canada’s first satellite went into orbit with a planned life of 1 year — Alouette sent useful data for more than 10 years, carrying long antennas that had been packed for launch by rolling the metal strips up like a carpenter’s measuring tape. Between 1989 and 1997 the United States shipped more than 50 million pet turtles abroad, and enough of the red-eared sliders were later dumped in ponds and rivers when they grew too big that the species now outcompetes native turtles on every continent but Antarctica, listed among the 100 worst invaders on Earth. Astronauts on the space station have no washing machine, because water is far too precious to waste on laundry, so they wear the same clothes for days and then pack the dirty ones into a cargo capsule that burns up on reentry, which means a fireball crossing the sky could, in theory, be a bundle of an astronaut’s old underwear. In 1984, NASA left a satellite carrying 57 experiments in orbit for a planned 10 months — repeated delays stretched the trip to 69 months before Columbia brought the entire laboratory home inside its cargo bay, its exposed surfaces weathered by years in space.Space News
Galaxia Takes Next Step in Earth Observation with purchase of Simera Sense Hyperspectral Imager Agile Space Industries Celebrates Durango Headquarters Expansion with Ribbon Cutting Commercial Space Federation (CSF) Welcomes Two New Associate Members Speed to Field Starts Below the Prime The electronics ‘under the hood’ of space networking LatConnect 60 and Phi Earth Partner to Connect Space and Soil RTX’s Blue Canyon Technologies introduces new spacecraft mission enabler The threat environment and processing at the edgeMartin Fowler
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 Ramblings Fragments: July 21 The Archaeologist’s Copilot DSLs Enable Reliable Use of LLMs Fragments: July 13 Experiences with local models for coding Viability of local models for coding Fragments: July 6 Building Reliable Agentic AI Systems Fragments: June 16 Fragments: June 2 The test suite as a regression sensor The VibeSec ReckoningEmbedded Artistry
Will Embedded Software Remain an Afterthought? Adding a Makefile help Target On AI Writing Jevons Paradox Shouldn’t Comfort You Practicalities of Co-locating Tests with Source Code A Practice: Satisfied on Purpose Embedded Artistry’s Essential Engineering Library Flashing Yocto Images from MacOS Convenience Gone Wrong: A C++ auto Story Battling Perfectionism in Creation Pushing Git Submodule Commits Automatically Monorepo Tooling Update: Signed Commit Support in Git 2.52 The After-Hours Consulting Trap Configuring Git Remotes: Fetch Only One Branch and No Tags What I’ve Been Up To (20251205) Life After Burnout Automating Away the Fun Parts Creating Deterministic Zip Files with Git Commit Timestamps Papers in Systems: Schön on Dynamic Conservatism Reclaim Your Data: Freeing a Wi-Fi Sensor from the Cloud 2022-2023 Quarterly Discussion Panel Archives Exploring Serverless CI/CD for Embedded Devices How to cherry-pick Specific Files from a Commit 2023 in Review Managing Issues and Improving Products After Launch Resolving Git Commit History Divergence Due to Case-Sensitive Rename Operations Responses to the Commentariat on the -Werror Article Leveraging Your Toolchain to Improve Security Best Practices for Safeguarding Your Connected Devices Q&A: How Do You Stay on the Path and Make it to “Done”?Attack Magazine
Denon DJ Unveils PRIME 4 G2 Ten of the Weirdest Drum Machines in 2026 Dreamtonics Completes Its Trilogy With Instrument X Yamaha Creator Pass Review: A Subscription Built For The Budding Bedroom Producer Arturia Pure SUB Review: Should Bass Synthesis Be This Easy? 5 Must-Watch Sets At CRSSD Festival Next Month CRSSD Festival Reveals Full Lineup for Fall 2026 Cleaning Up Vocal Rips With LALAL.AI Lynx KASHOVSKI “Great Music Alone Isn’t Always Enough To Build A Career” Native Instrument’s SuperStarSaw ReviewDJ 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?