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Trump Live Updates: Iran News, NATO Summit and More - The New York Times Ex-girlfriend of Graham Platner says he removed condoms without consent during sex - The Washington Post NYC buildings evacuated after construction workers find buckling columns in Midtown East; officials warn of possible collapse - ABC7 New York Prolonged hospitalisation of US Republican Mitch McConnell raises questions - Al Jazeera Trump again demands Greenland as NATO unveils military projects worth billions to prove its firepower - PBS The Pentagon is running out of money - NBC News US immigration officer shoots and kills man in Texas - Al Jazeera DeSantis-backed 'Stop WOKE' law meets appeals court block, teeing up possible Supreme Court fight - CNBC Tyler Robinson case: Attorneys spar over DNA found on items near the crime scene - Fox News Maryland plans August special session to set up 2028 redistricting - Politico Farage Resigns and Says He Will Run Again in Special Election - The New York Times Trump lashes out at NATO as first day of summit wraps in Turkiye - Al Jazeera Le Pen comeback revives French far right’s biggest fear: Can she actually win? - politico.eu Prince Harry’s ‘crushing’ court loss could devastate his and Meghan Markle’s finances - The Mercury News "We simply spread ourselves too thin" – Xbox's Asha Sharma on firm's restructuring plans - GamesIndustry.biz SpaceX stock now enters the post-honeymoon faith phase - Yahoo Finance Nearly 1 million investors in Trump's memecoin lost a collective $3.8 billion as he cashed in - Fortune Chip stocks sell off after Samsung earnings fall short of high AI bar - CNBC Anthropic is launching Claude Cowork on mobile and web - The Verge Samsung confirms July 22 event for Galaxy Z Fold 8 series and Watch 9, teases $1,200 off [Video] - 9to5Google PS Plus Discounts Being Offered to Fans Cancelling in Protest - Push Square Watch Anthropic Says Claude Can Mimic How The Human Brain Processes Information - Bloomberg.com Everything We Know About the Food Served at Taylor Swift’s MSG Wedding - Eater New York ‘Big Brother’ Season 28 Cast Revealed: ‘RuPaul’s Drag Race’ Alum, Rocket Scientist, MMA Fighter and More - The Hollywood Reporter Mariska Hargitay to Host Emmys; First Woman to Emcee the Show In 15 Years - Variety Charli D’Amelio Admits Her ‘Mental Health Keeps Declining’ as She Reflects on Challenges of Being 22 - Yahoo News New Zealand World Cup Daily recap: Argentina, Messi produce late magic; Switzerland sneak past Colombia - ESPN Belgian prime minister suggests US World Cup loss hit Trump ‘hard’ - Politico Switzerland face Argentina in World Cup quarterfinal after beating Colombia - Al Jazeera ‘Suffering’—Bruno Fernandes Pinpoints Reason Behind Portugal’s World Cup Exit - Sports Illustrated Webb Celebrates Fourth Year of Science By Showing Off its Cutting-Edge Cameras - PetaPixel China releases 1st photo of Earth's elusive 'quasi-moon' Kamo'oalewa - Space SpaceX launches Transporter-17 amid concerns about rideshare program’s future - SpaceNews Artemis II astronaut Jeremy Hansen stepping down from full-time role - NBC News Cyclosporiasis outbreaks: What to know about the foodborne illness and symptoms - NBC News What to know about Legionnaires' disease making people sick on New York's Upper East Side - AP News ‘Don’t Die’ biohacker Bryan Johnson opens up about diagnosis - The Independent San Diego confirms first local Chagas infection. Expert says ‘be smart’ - SFGATEBBC News
Farage's rivals rule out standing in Clacton by-election Chris Mason: Farage attempts to seize back the agenda US launches strikes on Iran after tankers hit in Strait of Hormuz Amber heat-health alerts in effect as UK set for one of longest-lasting heatwaves since 1976 'Extreme' marine heatwave expected for parts of UK Why replacing leasehold may be easier said than done Egypt fume at 'injustice' and make Messi favouritism claims after exit Package holidays to Dubai and Egypt cheaper as European prices creep up 'It is not normal' - but extraordinary Djokovic defies odds once again Watch: Buckling support beams seen inside New York high-rise Hundreds of jobs at risk as John Lewis plans to cut some services Trump looms large as Nato grapples with challenge of rearming Europe Tears of relief? Messi adds another incredible chapter to World Cup career England players to be told not to jump hoardings Fifa investigating alleged racist abuse of IShowSpeed Can Scotland learn from history-making Norway? Harry's bad news lands at wrong time, but prince sticks to script From mouthwash to hair dye: How weight-loss jabs are changing shopping habits 'The water just came so fast': Typhoon triggers floods and rare tornadoes in China Fears of a massacre in this city on the front line of Sudan's war The Papers: 'Let the people judge' and 'Farage gamble turns to farce' Watch: Clacton's mixed views on Farage's resignation Presidency bid while continuing court fight a gamble for Le Pen Reform asks NCA to investigate leaks of private financial information Search under way for cargo plane that vanished off Pakistan coast Harry loses High Court privacy case against Daily Mail publisher Hungary's public news broadcasts halted in bid to scrap Orban-era propaganda Russia could compete at LA 2028 Olympics Lawyer says detained Gaza doctor was severely beaten in Israeli jail One million more UK homeowners set to face higher mortgages BBC News app Nigel Farage Resigns As MP After 250 years, do US citizens still believe in the American Dream? Egypt fume at 'injustice' and make Messi favouritism claims after exit 'It is not normal' - but extraordinary Djokovic defies odds once again Tears of relief? Messi adds another incredible chapter to World Cup career Superb England inflict record T20 defeat on India Fulham appoint Arbeloa as Silva's successor 'How?!' - Gauff battles into first Wimbledon semi-finalFinancial Times (World)
US launches new wave of Iran strikes after attacks on tankers Japan’s borrowing costs soar to 30-year high on debt fears Apple interest thrusts China’s CXMT into memory chip spotlight A quick guide to Nigel Farage’s gamble Farage by-election gambit undercut by rivals’ refusal to participate Rachel Reeves calls for rival international defence schemes to merge FirstFT: US strikes Iran in response to attacks on tankers Le Pen is posing as the victim of a politicised judiciary French far-right leader Marine Le Pen says she will run for president ‘Nigel can fix it’ — what Clacton voters think of Farage’s gambit US revokes waiver allowing Iranian oil sales after tanker strikes in Strait of Hormuz IMF names Silvana Tenreyro as its next chief economist Tories and Labour try to call Nigel Farage’s bluff How Prince Harry’s phone-hacking case against Daily Mail publisher was lost How far can a ‘Messi strategy’ get Argentina? Farage by-election move as it happened: Reform UK leader quits as MP Meta releases first image model since Zuckerberg’s AI overhaul Aberdeen-backed internet provider seeks buyer after steep losses Saudi Arabia blocking payments to UAE accounts, businesses say Nigel Farage tries to ‘take back control’ High-spending online gamblers will face financial checks in UK Trump threatens to remove all US troops from Europe How AI is changing the world of retail investment Disney accuses US media regulator of trying ‘to sit in the editor’s chair’ Hertz gets a helping hand from an unlikely source: short sellersFinancial Times (UK)
A quick guide to Nigel Farage’s gamble Farage by-election gambit undercut by rivals’ refusal to participate Rachel Reeves calls for rival international defence schemes to merge ‘Nigel can fix it’ — what Clacton voters think of Farage’s gambit Tories and Labour try to call Nigel Farage’s bluff How Prince Harry’s phone-hacking case against Daily Mail publisher was lost Farage by-election move as it happened: Reform UK leader quits as MP Aberdeen-backed internet provider seeks buyer after steep losses Nigel Farage tries to ‘take back control’ High-spending online gamblers will face financial checks in UK How AI is changing the world of retail investment Bank of England plans to ease capital rule for UK lenders Farage struggles to be ringmaster of his own circus Rise of non-compete clauses blamed for harming productivity Burnham warned of ‘unsustainable’ public finances by UK fiscal watchdog The brutal logic of housing London’s homeless Burnham rules out splitting Treasury to avoid disruption Labour and the Tories need to outflank the extremists Growing UK pension surpluses fuel debate over what to do with excess funds London’s Tube nears a decade without new air-conditioned trains Retailers warn over potential scale of Burnham’s proposed warehouse tax Three cases that show devolution is no panacea for the UK Thames Water creditors willing to bid for utility even if it is nationalised Burnham urged to end freeze in salary threshold for student loan repayments The next frontier for defence companies is the deep blue seaThe New York Times
Meta Unveils an A.I. Image Generator Why A.I. Distillation Has Become a Hot Topic in the Race with China Alibaba’s A.I. Is a Hit, but Hard to Turn Into a Moneymaker Microsoft Lays Off Thousands of Xbox Employees, Closes Game Studios Businesses Fear Politicization as Trump Gains More Power Over U.S. Agencies How Meta’s Threads Became as Popular as X Fable Ban Reversed + Dr. Dana Suskind on Parenting With A.I. + Prediction Market Drama Microsoft Disclosure Provides Rare Glimpse of Tax Haven Tactics Tesla Driver Using Autopilot in Texas Crash Is Charged With Manslaughter To Reduce Electrical Grid Strain Amid Heat Wave, Data Centers Are Ordered to Use Backup Power Tesla Sales Surge 25% on Recovery in Europe Is a ‘Frictionless’ Society a Trap? The Yoto Music Box Is a Ray of Hope Amid the ‘Techlash’ U.S. Lifts Restrictions on Anthropic’s Most Powerful A.I. Models Bending Spoons, Owner of AOL and Other Old Internet Brands, Is Going Public BMW Will Build a New Electric S.U.V. in South Carolina In San Francisco’s A.I. Era, Even $180,000 Tech Salaries Are No Longer Enough How A.I. Is Changing the Way Politicians Run for Office Many Child Safety Features on Social Apps Don’t Work, Report Finds U.S. Loosens Restrictions on Anthropic’s Mythos A.I. ModelThe Guardian
Catnip lotion as effective as Deet at repelling mosquitoes, study finds What will define Elon Musk’s legacy? Doge cuts to USAID Ebola programs Five charged in Liberia after more than 200kg of cocaine seized in drug bust Archaeologists uncover ancient Byzantine city in Egypt’s western desert ‘The situation is terrible’: aid workers on life in Sudanese city pummelled by drone strikes French prosecutors investigate racist abuse of Kylian Mbappé by Paraguayan senator ‘Living like this is agony’: Cuba suffers third nationwide blackout in six months Canada to buy 12 hi-tech German submarines after bidding war Cuban zoo celebrates birth of Bengal tigers amid energy crisis Rodríguez defends Venezuela’s emergency earthquake response as number of bodies expected to soar Australia news live: watchdog ends investigation into former Nacc commissioner Brereton; cross-country trains caught up in national Telstra outages Severe storms in China bring tornadoes and landslides that have killed 15 people Australian PM says Chinese missile test could have caused ‘considerable damage’ if weaponised Typhoon Maysak kills two and forces thousands to evacuate in China China tests long-range missile in South Pacific in move Australia condemns as ‘destabilising to region’ Telstra outage: Telco apologises for major time-keeping issue that hit mobiles, trains and triple-zero calls Australian house prices are falling but are still almost double what they were a decade ago Recession off the cards but Australia faces dreary outlook, economists say A rock star welcome and human rights protests to greet India’s prime minister Narendra Modi in Australia ‘Accident waiting to happen’: player’s death raises alarm over risk of concrete cricket pitches in Australian rules football Trump renews call for US to take over Greenland as he arrives for Nato summit Marine Le Pen to run for presidency and appeal against conviction in France’s highest court Le Pen says she will appeal against conviction and run for French presidency – Europe live as it happened Why is Marine Le Pen running for French presidency after court confirmed conviction? Hungarian public media outlets halt broadcasting in post-Orbán shake-up Iran accuses US of violating peace agreement after strikes target sites around strait of Hormuz US launches strikes against Iran after attacks on vessels in strait of Hormuz Bombs explode near Damascus hotel housing Macron on Syria visit Israeli officer shown throwing stun grenade into car during West Bank raid UK charity funding school at heart of illegal Israeli settlement expansion Dowry murders in India no longer spark public anger or debate, study finds Sri Lanka prison riot kills 26, with more than 100 others wounded Pakistan roof collapse kills 14 children at tutoring centre Delhi plans to ban petrol rickshaws and scooters in effort to cut toxic fumes ‘Humanity is a privilege’: Umar Khalid on his six years in an Indian jail without trial Which? finds 150 potentially lethal baby products sold online Labour, Tories and Lib Dems refuse to stand in byelection with Farage’s resignation labelled ‘desperate stunt’ – as it happened Prince Harry and other claimants could face £50m legal bill after losing phone-hacking case Prince Harry gets burned in his mission to ‘slay dragons’ of British media Revealed: Farage’s £5m gift reported to UK crime agency over money laundering concerns Pressure mounts on Graham Platner to drop out of Maine Senate race as new allegation emerges – as it happened Karmelo Anthony seeks new trial after 35-year sentence in killing of Austin Metcalf ICE agent fatally shoots motorist during traffic stop in Houston Prosecutors say video shows suspect in Charlie Kirk killing climbing on to roof Arizona toddler declared dead after near-drowning was alive for hours in ‘cold room’, records sayHacker News
Google Gemini Killed Perplexity AI Is The Economist Always Wrong? Show HN: Chiptune Radio Rlm-Workflow An interactive explorer for Benford's Law across real datasets Tenda firmware (multiple versions) contains hidden authentication backdoor Show HN: Fortress – a stealth Chromium so your agents stop getting blocked Structure and Interpretation of Computer Programs Video Lectures (1986) Show HN: Free Mermaid Diagram Editor GAO: DOE Is Prematurely Excluding Less Expensive Options for Nuclear Cleanup Every new car sold in the European Union must include a driver monitoring camera Show HN: Davit, a Apple Containers UI AI Meets Cryptography 1: What AI Found in Cloudflare's Circl Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro Notes on Software Quality l: A new runtime for k and q We're extending access to Fable 5 on all paid plans through July 12 Jim's TrueType QR Code Font Show HN: Rowboat – Open-source, local-first alternative to Claude Desktop 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly formatArxiv astro-ph.HE
Probing Neutron Star Interiors and the Properties of Cold Ultra-dense Matter with the SKAO A Shock-based Interpretation of Radio and X-ray Emission in Active Galactic Nuclei High-Energy Neutrino Tomography of the Earth's Interior with IceCube Non-thermal emission in jets and winds: Expected emission and spectral index distributions Evidence for Asymmetric Ejecta and Circumstellar Material in SN 2023ixf Inferred from Extensive Nebular-phase Observations No Strong Evidence for Plasma Lensing in FRB 20240114A FAST Pulsar Database III. Snapshots of nulling, mode-changing and subpulse modulation of 374 pulsars Numerical Simulations of Restarted Jets -- I. Dynamics Galactic Centre Pulsars with the SKAO Understanding the Neutron Star Population with the SKAO Telescopes A Square Kilometre Array Pulsar Census Exploring the Magnetic Field Structure of the Milky Way with Pulsars in the SKA Era Multiwavelength properties of short gamma ray bursts with extended emission observed by Swift Beyond the Impulsive Approximation: The Dynamics and Radio Emission of Tidal Disruption Jets Neutrinos from super-Eddington Seyfert galaxies Different dissipation mechanisms of jet underlying variability in blazars A NICER view of the millisecond pulsar PSR J2124$-$3358: evidence for a helium atmosphere Neutron stars with an agnostic Dark sector: Core and Halo configurations from a two-fluid approach Long-period radio transient PSR J0901-4046 is not an Isolated White Dwarf Pulsar Cross-validation of six dispersion measure estimation methods for FRB 20240114A Constraining Pulsar Radiative Geometry via Multi-wavelength Modeling Measuring the Angular Auto-power Spectrum of Fast Radio Burst Dispersion Measures as a Robust Cosmological Probe and Baryon Tracer Exploring Hierarchical Merger Scenarios for GW241011 and GW241110 Evidence for a Delayed Progenitor Population for CHIME non-repeating Fast Radio Bursts using a Self-Consistent Forward and Backward Inference Framework An 18-year Fermi-LAT stacking limit on GeV $\gamma$-ray emission from particle-accelerating colliding-wind binaries Spectropolarimetric detection of baryonic mass loading in a transient relativistic jet: application to the black hole X-ray binary Swift J1727.8$-$1613 Geminga and Monogem in the CTAO Era: Probing TeV Halos and Cosmic-Ray Transport The emergence of X-ray emission lines during relativistic radio-jet formation in the changing-look active galactic nucleus 1ES 1927+654 The disk luminosity deficit as a tracer of receding disk during Soft-to-Hard transitions in Black Hole X-ray Binaries AU or pc? Inferring the distance of magnetized plasma near FRBs from propagation diagnostics The youth of the intracluster medium. I. A non-parametric characterisation of the gas and electron number density profiles of $z \simeq 2$ protoclusters Helical radio jets as probes of magnetised cluster environments: Periodic Faraday Rotation Revealed in the Corkscrew Galaxy by POSSUM Rapid Response Triggering for Radio Transients with the SKA Observatory nmma: An extended Bayesian framework for Nuclear Multimessenger Astronomy in the Era of Next-Generation Detectors The SKAO Pulsar Timing Array Odd-parity ringdown gravitational waves of a spherically symmetric black hole with perfect fluid accretion Physically motivated AGN emissivity profiles and their effects on quasar microlensing signatures. 1. Multi-epoch accretion disc size inference How Low Can We Go? Minimum Spectroscopic Requirements For Supernova Subtype Classification Probing Flare-Associated Eruptions on AB Doradus via X-ray Absorption Variations Particle dynamics in nonlinear electromagnetic waves: chaos onset, diffusive heating, and wave surfing Neutron stars in $f(Q) = Q +\xi Q^2$ gravity Observational Study of Multi-wavelength Synergistic Effects in 3C 120 Emulation of non-linear 1D spectral models: relativistic X-ray reflection FRANZ: Framework for analytical one-zone blastwave dynamics Trigger system for the Payload for Ultrahigh Energy Observations (PUEO) balloon-borne neutrino detector Galactic Center Neutrinos from Cosmic Ray-Dark Matter Interactions Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification Constraining Disk-to-Corona Power Transfer Fraction, Soft X-ray Excess Origin, and Black Hole Spin Population of Type-1 AGN across Mass Scales FAST Pulsar Database: II. Scattering profiles of 149 Pulsars Macroscopic approaches to rotating neutron stars Numerical Studies on the Radio Afterglows in TDE: Bow Shock Environmental effects in stellar mass gravitational wave sources II: Enhanced detectability of phase shifts in eccentric sub-populations Is There New Physics Beyond 30 TeV in the BOAT? Images of shadow and thin accretion disk around Bardeen black hole surrounded by perfect fluid dark matter FEADME: Fast Elliptical Accretion Disk Modeling Engine Cygnus X-3 as a PeVatron and the LHAASO 2025 data Detection of giant pulses from the transitional millisecond pulsar J1227$-$4853 Revealing massive black hole astrophysics: The potential of hierarchical inference with extreme mass-ratio inspiral observations Early results in the search for extreme coronal line emitters with the Dark Energy Spectroscopic Instrument GenASiS: General Astrophysical Simulation System. II. Self-gravitating Baryonic Matter Optical observations of the fast nova V1674 Herculis The hydrodynamics of stratified ultra-relativistic outflows and the origin of GRB X-ray plateaus X-ray polarization in the soft state of Cyg X-1 Investigating the Temporal Evolution of Gamma-Ray Burst Central Engine Parameters Based on Numerical Simulations The long-term accretion luminosity of V4641 Sgr through binary evolution simulations: implications for its ultrahigh-energy gamma-ray emission Search For a Counterpart to the Subsolar Mass Gravitational Wave Candidate S251112cm Transient narrowband radio bursts from the magnetar 1E 1547.0-5408 Observational distinguishability of the Kerr and Kerr-Hayward metrics to EHT Probing heartbeat oscillations from the black hole X-ray binary GRS 1915+105 using spectral-timing analysis Geometry, Not Calorimetry, Drives the Radio/Infrared/Gamma-Ray Correlation Young Massive Star Clusters as TeV Emitters: Constraints from H.E.S.S. and LHAASO Light Propagation Prescriptions for Black Hole Movies Impacts of radiative cooling on the images of a black hole shadow and extended jets in two-temperature GRMHD simulations Subluminous Type IIP SN 2024abfl as a Result of a Significantly Low-energy Fe-core Collapse Complex Analysis of Askaryan Radiation: UHECR Reconstruction What an Amortized X-ray Posterior Cannot See: Gain Shifts, Silent Miscalibration, and the Limits of the Evidence Check The impact of stellar binaries and star cluster dynamics on pair-instability supernovae Measurements of Cosmic Proton Flux through Neutron Monitors Using Deep Networks and Imputation Techniques in the AMS-02 Era Can a secluded self-interacting dark sector generate detectable gravitational waves? Interferometric signature of higher-order images in a parametrized framework Time-Dependent Cosmic Ray Halos from Bursty Star Formation and Active Galactic Nuclei: Semi-Analytic Formalism and Galaxy Formation Implications Compact star and compact star matter properties from a baryonic extended linear sigma model with explicit chiral symmetry breaking Combining simulation-based inference and universal relations for precise and accurate neutron star science A statistical study of the environmental age of core-collapse supernovae based on VLT/MUSE integral-field-unit spectroscopy Improved Constraints on Non-Kerr Deviations from Binary Black Hole Inspirals Using GWTC-4 Data Dynamical tidal response of neutron stars via scattering amplitudes Constraining the Physical Properties of Quadruply Lensed Quasars using Optical-to-X-Ray Data Constraints on Binarity for the Extreme Oe Variable Star AzV 493 Kinematic detection of dusty outflows from active galactic nuclei: Polycyclic aromatic hydrocarbon kinematics of type 2 quasars with JWST/MIRI spectroscopy AGN radiative feedback as the main regulator of [O III] outflow activity and obscuration in X-ray AGNArxiv cs.LG
Auditing the Audit: Five Failure Modes in Benchmark-Validity Audits Evaluating Time Series Foundation Models for Electricity Price Forecasting: Contamination Risk, Distributional Shifts, and Covariate Dependence QuantFlow: A Federated Mamba-Based Post-Transformer Foundation Model for Time-Series Forecasting GRAFT: Grafted Reference Audio for Fine-grained Pronunciation in Zero-shot Text-to-Speech Federated Learning for Object Detection: Enabling Collaborative Drone Learning Without Centralizing Data Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting A Granularity-Aware EEG Feature Framework for Psychopathology Dimension Prediction LiNO: Lifting based multiresolution neural operator Weighted Conformal Prediction for Lab-to-Track Thermal Transfer in EV Motorsport Powertrains Out-of-Distribution Generalization of Risk Aversion in Language Models Safe Inference-Time Alignment via Lagrangian Reward Augmentation Induction Heads Interpolate N-Grams Training Hybrid Block Diffusion Language Models with Partial Bidirectionality Less Tokens, Better Forecasts: Sparse Residual Routing for Efficient Weather Prediction On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data Trading Confidence: Comprehensive Uncertainty Estimation in Algorithmic Trading Reward Granularity in RLVR: Comparing Process and Outcome Reward Structures for Mathematical Reasoning in Small Language Models Poisson-Gamma Modeling of Inter-Relational Dependencies in Dynamic Knowledge Graphs Dynamic Regret for Non-Stationary Linear Bandits via Misspecification Reductions Variable Bit-width Quantization: Learning Per-Group Precision for "Bigger-but-Smaller" Language Models Bootstrap Flow-Map Tree Sampling Enables Online Feedback Driven Search CoFEND: A Cross-Modal Fusion End-to-End Network for Cold-Start Drug-Drug Interaction Prediction In-span learning: adapting reduced-order models using their own predictions Missingness as Signal: Channel-Independent Spectrogram Learning for Clinical Time Series Prediction A Precedent-Guided Co-Scientist for Side-Effect-Aware Drug Redesign Individual Parameters in Weight-Sparse Transformers Appear Interpretable Rank-Order N-of-M Codes for Sparse Distributed Memory: Disentangling Representation and Learning Effects in Noise Robustness Against Contemporary Neuromorphic Architectures MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning Transfer Learning in High-dimensional Ising Models Back to Basics: Improving Molecular Understanding in LLMs via SMILES-Graph Translation Do ECG Foundation Models Transfer to Rare Cardiac Diseases? Evidence from Brugada Syndrome Detection Can Model Merging Improve Aggregation in DiLoCo? Out-of-distribution Neural Inference in Dynamical Ising Models OmniFocus: Query-Guided Modality-Balanced Token Compression for Omni-Modal Large Language Models SHiPPO: Recurrent Memory with Transported Polynomial Projections LACE-SVD: Loss-Aware SVD with Cumulative Error Correction for LLM Compression Spectral Rewiring for Exploration, Purification, and Model Merging Robustness Meets Uncertainty: Evidential Adversarial Training for Robust Selective Classification STELLA: Efficient Sensor-to-LLM Translation for On-Device Human Activity Recognition Stacked LoRA for Subject-Adaptive EEG Foundation Models in Motor Imagery Decoding Heterogeneous Graph Condensation via Role-Aware Clustering Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights Integrating Physics-Informed Neural Networks for Safe Reinforcement Learning in a 1-DoF Helicopter System ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Anticipatory Reinforcement Learning for Trajectory Tracking Sample-Efficient Pareto Front Modeling for Energy-Aware Reinforcement Learning Using Bayesian Optimization CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification Rethinking Neural Nonlinearity as Gating Decentralised Federated Learning over Temporal Networks: The Role of Heterogeneities Understanding electricity consumption behaviour through Inverse Reinforcement Learning A Bayesian Framework for Evaluating Scenario Compatibility in Generative Population Synthesis Reduced-Order Models: The Mother of World Models OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction Transition Information Density: Morphological Trajectories, Synesthetic Perception, and Structured Interpolation in Neural Training (or: The Synesthetic AI) Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models PhenoNEST: A Neuro-Symbolic Framework for Ontology-Aware Multimodal Plant Phenotyping and Trait Discovery Unbiased Alignment for Large Language Models with Noisy Preferences From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model A harmonised dataset for Earth system foundation models Statistically Meaningful Geometry (SMG) Beyond the Euclidean Paradigm, with Application to Generative AI FedAvg for HAR: Exploring the Tradeoff Between Personalized and Generalization Accuracy CSympNet-ID: conformal-symplectic map learning for linearly damped Hamiltonian systems The Multiscale Single-Index Model: A Stylized Model for Hierarchical Feature Learning PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Amortising Bayesian Experimental Design for Sequential Information Gathering in LLMs How Much of the Routing Gap Is Real? Decomposing the Router-to-Oracle Gap into Reproducible Specialist Advantage and Single-Draw Label Noise No Time Like the Present: Agentic Test-Time Training for LLM Agents Best-of-Better-$N$: Generating Pre-Aligned Responses with In-Context Learning Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation A Near-Linear-Time Solver for Graph $p$-Laplacian Semi-Supervised Learning via Continuation in $p$ Mixture-of-Gaussians-Guided Schedule Design for Brownian Bridge Diffusion Models On the Convergence of Adam, Revisited Co-Adaptive Multi-Task LoRA: Transfer-Aware, Label-Free Control of Domain Participation Aligning Language Models with Selective Prediction WeightCLIP: Aligning Datasets and Models for Weight Space Learning Teacher Supervision over Representation Equivalence Classes Differentiate the Evaluator, Not the Program: An Efficient Runtime Representation for Neuro-Symbolic Learning When Geometry Aligns: Dihedral Hidden-State Transformations in UNet, ViT, and DiT Architectures Modular Foundation Models for Time-Series Perception in Digital Twins Graph Classification via Network Usable Information: From Representation Evaluation to Structure Selection Implicit Bias of SGD in Multivariate ReLU Networks: Effective Width Collapse Reflected Schr\"odinger Bridge Matching LLM-Guided Transportation Hub Capacity Planning with Textual Business Inputs Phase-Preserving Trimodal Transformer for Tropical Forest Biomass Estimation Using Optical and PolInSAR Data A Structural Interpretation of GELU and Threshold-Transmission Activations via the First-Order Loss Function Validation-Induced Shapley Shifts: How Validation Structure Distorts Data Valuation Rethinking AI-Generated Text Detection: A Strong Baseline and the Distribution-Shift Problem That Remains PIEFS: Physics-Informed Eigenfunction Features with Learnable Scaling Social Networks of LLM Agents SAVER: Stochastic Adaptive Variance-Driven Exploration and Reconstruction for Low-Dose Computed Tomography FedACT: Federated Adaptive Coordinate Trust Modulation for Robust Transformer Training under Data Heterogeneity Conservative Subject Invariant EMG-based Gesture Recognition Tensor-Train Joint Modeling for Few-Step Discrete Diffusion Foundations of Equivariant Deep Learning: Unifying Graph and Sheaf Neural Networks Punching Above Their Weight: Classification-Head Fine-Tuning of Tiny Language Models (TLMs) for Verifiable Multiple-Choice Tasks Stable Global Weighting of Flow Mixtures using Simplex Exponential Moving Average Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning NeSy-CSA: A Neuro-Symbolic Framework for Open-Ended Critical Scenario Attribution A Unified Framework for Quantized and Continuous Strong Lottery Tickets A Gradient Flow Perspective on Minimum MMD Estimation AdaptiveSD A Stability-Aware, Runtime-Adaptive Speculative Decoding Framework with Multi-Policy Orchestration for CPU-Constrained LLM Inference CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning Transformers with Physics-Informed Encodings and Simulation-Based Inference for Robust Detection of Eccentric Binary Black Holes in Pulsar Timing Array Data NeuroOnline: Bridging Pretraining and Online Adaptation for EEG Foundation Models MPSelectTune: Prompt-type Selection for Fine-tuning improves Concept Unlearning in LLMs Order-based Causal Discovery for Multistage Processes MANCE: Manifold Aware Concept Erasure Knowing When to Stop: Predicting Execution-Consistency Convergence in Text-to-SQL Directional Curvature from Armijo Backtracking: A Low-Cost Sharpness Probe and a Calibration-Free Learning-Rate Safeguard for Adam When Does Small Data Work? Accuracy and Efficiency Trade-offs Between Tabular Foundation Models and Conventional Methods for Crowd-State Classification at Hajj and Umrah A Unified Algebraic Framework for Classification Performance Evaluation OmniOpt: Taxonomy, Geometry, and Benchmarking of Modern Optimizers Reward-Gated On-Policy Distillation A Unified Framework for In-Context Learning with Causal and Masked Language Models FedSPM: Routing-Enabled Federated Learning under Dual Heterogeneity via Semiparametric Mixture Target-Aware Interaction-Guided Reinforcement Learning for Black-Box Node Injection Attacks on Graph Neural Networks Dictionaries, Not Darwin: Set-Level Selection Beats LLM Evolution in Scientific Equation Discovery DynaVieW: Schema-Guided World Modeling for Understanding Hierarchical Visual Dynamics Asymptotic-Preserving A Posteriori Analysis of Diffusion and Flow-Matching Samplers GlacierCastAI: Predicting Glacier Retreat from Multi-Modal Satellite Imagery and Climate Signals Parametric Memory Decoding for Zero-Shot Routing in LoRA-Based External Parametric Memory CertMix: Certified, Data-Efficient Metamaterial Design by Affine Mixing of Aligned Neural-Implicit Weight Spaces MDL Meets Latent Confounders: LNML-based Causal Discovery Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition Binary Iterative Method for Non-targeted Adversarial Attack Mask-based Predictive Representations for Reinforcement Learning Geometry of Ordinal Representations in Language Models FedFFT: Taming Client Drift in Federated SAM via Spectral Perturbation Filtering Physics-Informed Graph Learning with Uncertainty Awareness for Open-Set Domain Generalization in Fault Diagnosis SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity Exploring Convolutional Neural Processes for Weather Downscaling Channel-Adaptive Robust Aggregation for Over-the-Air Federated Learning in Heterogeneous Networks Quantize the Target, Quantize the Drafter: Efficient Inference with Qwen3.5-4B Signal or Noise? Understanding Generative Models for Real-World Sensor Time Series On Preserving Geometrical Invariance for Superpixel Image Classification using Graph Transformer HiFA4: Training-Free 4-bit FlashAttention on Ascend HIF4 NPUs for LLM Inference SAD-LoRA: Spectral Alignment for Low-Rank Knowledge Distillation On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Structure-Specific Representational Priors Causally Control the Grokking Delay One Framework for All: Cross-Modal Membership Inference for Generative Models How Many Initial Points Does Bayesian Optimization Need? RL Forgets! Towards Continual Policy Optimization NKI-Agent: Domain-Specific Fine-Tuning and Agentic Tool Use for Neuron Kernel Generation Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling Environmental Drivers of Respiratory Disease: A District Level Analysis Full-Stack FP4: Stable LLM Pretraining with Quantized Projections, Optimizers, and Attention Covert Trait Propagation Is Representation Alignment: Mechanistic Evidence from Hidden-Channel Distillation Knowledge-Informed Local Causal Discovery of Optimal Adjustment Sets A Deep Learning-based surrogate model for Severe Accidents in nuclear reactors using ASTEC Operator-on-F complements value-equivalence: a planning-time diagnostic for latent world models Regime-Conditional Stabilisation of LLM-Augmented Cooperative Multi-Agent Reinforcement Learning LeukocyteCount: Automatic Identification and Counting for leukocytes using Deep Learning Two Black Boxes, One Solver: Encoder Probing and Decoder Attribution for Neural Multi-Attribute VRP under Hard-Mask and Recourse Decoders Beyond travel mode: urban context shapes active mobility's mental health effects over time Lyapunov-Guided Training for Hardware-Safe Neural Networks Under Fixed-Point Arithmetic ManifoldFlow: SPD-Relaxed Stiefel Layers with Learnable Singular Spectrum Auto: The AGI Compiler Predicting Therapeutic Outcome via Aligning Patient-Specific Knowledge Graph and Gene-Level Perturbation Representations A Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent Post-Training Beyond the Need for Speed: Energy-Aware Code Generation via Simulation-Guided Reinforcement Learning Score Distributions, Not Cells: Evaluating Single-Cell Perturbations Under Class Overlap Minimum Block Width for Universal Approximation by Residual Neural Networks with Inner Width One Measuring What Matters: A Unified Evaluation Framework for GNN Explainability Reliability and Identifiability in Persona-Trained Monte Carlo: Variance Decomposition, Stability Bounds, and the Identifiability of Heterogeneous News Reaction Machine Learning for Depression Screening and Intervention: an Original Circadian Rhythm Score-based Methodology A Physics-Regulated Neural Framework for Learning 3D Grain Growth Dynamics URSA: Chemistry-Aware Benchmark for Utilitarian Retrosynthesis Assessment F-ACVAE: A Federated Adaptive Conditional Variational Auto-Encoder for Privacy-Preserving Intrusion Detection in IoT Networks Hierarchical Scaffolding Enables Human-Like Cognitive Selectivity under Data Scarcity RSPO: Reward-Swap Policy Optimization for Multi-Turn LLM Agents Trust Region Policy Distillation Multi-Turn On-Policy Distillation with Prefix Replay MARLIN: De Novo Molecular Structure Elucidation from Tandem Mass Spectra without a Ground-Truth Formula Towards Personalized Differentially Private Learning for Decentralized Local Graphs Predicting Drafted Deck Strength for "Magic: the Gathering" Compressed Computation under $L^4$ Loss is likely Computation in Superposition Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning Probably Correct Optimal Stable Matching under Two-Sided Uncertainty Representing and Detecting Label Ambiguity in IMU-Based Exercise Evaluation Pretraining Curricula Enable Selective Fine-tuning Framework for Grouping Local Process Models Enhancing the Forecasting Capability of Multi-Model Blending Algorithms for Extreme Precipitation via Joint Use of Station and Gridded Observations Active Learning on Adversarially Corrupted Graphs RL-Ballast: Ship Ballast Water Path Planning and Clog Prediction via Reinforcement Learning When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters Input Pathways Shape Few-Shot, Not Zero-Shot, Binding in Tiny Transformers: A Fully-Enumerable Study Lightweight ML-Based Automatic Sleep Staging Framework with Constrained CNN and Mamba for Small-Sample EEG Datasets Sensitivity Sampling with Predictions for k-Means Clustering Train Smarter, Not Longer: Memorization-Guided Data Reuse for Efficient LLM Training Geometry-Aware Bayesian Quantification via Compositional Data Analysis Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Control Data-Driven Soft Labeling Scales DNA Read Classification to Whole-Body Cell-Type Deconvolution Non-Convex Sparse Reinforcement Learning via Non-Monotone Inclusions The Map Behind the Flow: Finite-Step Gradient Descent as a Dynamical System ImputeECG: Deep Learning Reconstruction of Complete 12-Lead Electrocardiograms from Incomplete Recordings for Cardiac Assessment Hyperparameter Transfer in Graph Neural Networks Beyond Modality Fusion: Deep Ensembles for Multimodal Classification Uncertainty-aware damage identification in short-span bridges via physics-informed variational autoencoder CollabEval: Statistically Efficient Collaborative Model Evaluation via Matrix Completion KVpop -- Key-Value Cache Compression with Predictive Online Pruning Computing Monetary Risk Measures in Linear Time FAST: A Holistic Framework for Optimizing Memory-I/O, Computation, and Sampling in Temporal GNN Training Functional Bilevel Optimization for Predictive Fairness Counterfactual Methods for Detecting Unfairness in Anti-Money Laundering Algorithms Choosing a parallel heterogeneous ensemble method for tabular classification Grokking Is Conditional and Fragile: A Fully-Tractable, Multi-Seed Study at 12K Parameters Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing PDEFlow: Autonomous Agentic PDE Pipelines for Neural Operator Learning and Solver-Free Inference Physiological Noise Augmentation Improves Non-Invasive Brain-to-Speech MeGA-MP: Metric Graph Advection Message Passing -- A Physics-Informed Message Passing Operator for Advection-Dominated Metric Graphs Platonic Projection Structures: Operator-Induced Observability in Representation Learning Relational Multi-Agent Reinforcement Learning for Dynamic Pricing in High-Speed Railway Markets SMART: A Machine Learning and Monte Carlo Framework for Rapid Analysis of Stochastic Transistor Aging and Process Variation in Digital Circuits Latent Programming Horizons in Coding Agents Noisy-Channel Minimum Bayes Risk Decoding FlatManifold: Robust Continual Learning under Severe Label Noise and Domain Shifts via Intrinsic Manifold Flattening Video-based detection of cessation of breathing in pre-term infants using machine learning CanniUplift: A Holistic Framework for Mitigating Seller and Incentive Cannibalization in E-commerce Uplift Modeling FUSE: FK-Steered Multi-Modal Flow Matching for Efficient Simulation-Based Posterior Estimation GeoFlow: Geo-Aware Modeling of Inter-Area Relationships in Origin-Destination Flow Prediction and Generation Target-Guided Selective Reweighting for Physics-Informed Neural Network Inverse Problems: A Transfer Learning Approach Adaptive Inference Batching using Policy Gradients Advances in Neural Controlled Differential Equations Air Quality Downscaling with Station-Guided Pseudo-Supervision Learning Only What Valid Adapters Can Express: Subspace-Constrained Adaptation Against Fine-Tuning Poisoning Biologically Informed Deep Neural Networks for Multi-Omic Integration, Pathway Activity Inference and Risk Stratification in Cancer How Far is Too Far? Defining the Distance Threshold for Verification Siamese Networks TREK: Distill to Explore, Reinforce to Refine CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agents TabPack: Efficient Hyperparameter Ensembles for Tabular Deep Learning What Does a Discrete Diffusion Model Learn? Weak-to-Strong Generalization via Direct On-Policy Distillation SiamixFormer: a fully-transformer Siamese network with temporal Fusion for accurate building detection and change detection in bi-temporal remote sensing images miMamba: EEG-based Emotion Recognition with Multi-scale Inverted Mamba Models Inverse Design of Metainterfaces for Static Friction Control: Beyond the Hertzian Limit Open-Weather Robust 3D Detection via Dual-Critic Diffusion Alignment Tile-Level Activation Overlap for Efficient LLM Inference Physics-Informed Domain-Invariant Feature Learning with Autoencoder-Driven Gaussian Clustering for Robust Non-line-of-Sight Scenarios Beyond Satisfaction: Learning Associations Between Content, Reviews, and Well-Being Transformer-based Multisensor Data Fusion of Ultrasonic Guided Wave and FBG-based Strain Measurements for Multitask Aerospace Structural Health Monitoring Interpretable machine learning predicts Parkinson's disease severity using motion-corrected QSM MRI and multiband multiecho fMRI features MLSYSIM: First-Principles Infrastructure Modeling for Machine Learning Systems Uncertainty-Aware Last-Layer Adaptation of RETFound for Referable Diabetic Retinopathy Screening Under Dataset Shift From Tensor Buffer to Distributed Memory Hierarchy: A Survey of KV Cache Management for LLM Serving CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation The Moving Target: A Longitudinal Audit of Trustworthiness Drift Across Twelve Checkpoints of Open-Source Chat LLMs H-OPD: Confidence Aware Heterogeneous Multi-Teacher Multimodal On-policy Distillation CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness Scaling Weisfeiler-Leman Expressiveness Analysis to Massive Graphs with GPUs Towards transferable lightweight neuromorphic computing through a model-free temporal-switch framework Privacy-Preserving Industrial Ergonomics: mmWave-Based Automated REBA Scoring and Pose Estimation Fusion: A Framework for Unified Sequential Token AdaptatIon in VisiOn TraNsformers Schedulable Job-Level Dependencies for Cause-Effect Chains via Graph Neural Networks SE-UNet: Singular Equivariant Imaging for Real-World Constrained Generation Benign Overfitting Does Not Occur in Diffusion Models Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms ASK in the Dark: Uncertainty-Gated LLM Assistance under Partial Observability RES-DARE: Failure-Aware Expert Adaptation and Rollback-Safe Self-Repair for Intrusion Detection Property-Constrained 3D Porous Media Reconstruction from 2D Images via Conditional Generative Adversarial Networks Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models Provable Pruning for Efficient 3D Gaussian Splatting via Coresets Optimality-Informed Neural Networks for Lunar Landing Trajectory Optimization CodeJeNN: A simple C++ neural network generator for physics applications Pretreatment MRI reveals a latent, molecular-subtype-independent structural phenotype that organizes treatment trajectories and recurrence risk EvoOtter: Evolutionary Reproduction Test Generator SPLIT: Training-Free AI-Generated and Partially Edited Video Detection via Spatial Patch-Level Incoherence and Temporal Roughness Selectivity Estimation for Linear Queries via Online Learning Open Problem: Is Interaction Necessary for Order-Optimal 1-bit Mean Estimation? PromptPET: Privacy-Utility Optimized Prompt Obfuscation Incentivizing Vision Language Models to Search for Long Video Question Answering CONFLUX: A Latent Diffusion Model for 3D Chest-CT Synthesis with RL Post-Training HyperVAttention: Efficient Sparse Attention with Spatio-Temporal Clustering for Video Diffusion PixCon: Clean-Positive Contrastive Learning for Foundation-Model Semi-Supervised Segmentation Graph Neural Networks for the Graphical Bootstrap Dimension Reduction for Curves: Simplified and Generalized Vidu S1: A Real-Time Interactive Video Generation Model Open-Set Source Tracing as Compositional Factors via Structured Prototypes An Intervention-Based Framework for Shortcut Diagnosis in Spoofing Countermeasures Which Algorithm Specification Formats Help Language Models Implement Machine Learning Algorithms? Denoised Conformal Alignment for Reliable Selection of Conditional Average Treatment Effect Predictions KARMA: Knowledge graph-based Automated Reasoning Materialization and Alignment Entropy Regularization Improves Policy Robustness in Continuous-Time Reinforcement Learning CRRL: A Causality-Based Reinforcement Learning Framework for Autonomous System Recovery Quantum Kolmogorov--Arnold representation theorem for continuous unitary-valued maps Scalable Maximal Frequent Episode Mining with Desbordante Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment Seeing Through WiFi: Lightweight Human Pose Estimation with Dynamic Kernel Attention Deriving Benchmarking Datasets from Long-Form Recordings: Challenges and Opportunities Complexity of Normalized Persistence Problems for Topological Data Analysis and Local Hamiltonians Taste-aware music retrieval from audio embeddings Piecewise Dynamic Diffusion Regularization for Reconstruction of Cardiac Cine MRI Adaptive Loss Balancing for Multi-Task Bioacoustic Classification of Bird Species and Call Types SPORK: Self-Speculative Forking to Accelerate Agentic LLM Inference Efficient Decentralized Multi-task Dataset Valuation via Model Merging Pathways of Visual Information Flow in Vision-Language Models CaSPECT: Discovering Causally Homogeneous Subgroups via Directed Spectral Clustering A Hierarchy of Policy Learning Problems When Aggregate Alignment Misleads: Auditing Policy Repair Without Per-State Expert Actions Scalable Differentially Private Data Compression via Diffusion and Stochastic Codes From Mobile Data to Business Insights: An End-to-End Analytics Framework for Large-Scale Urban Mobility Analysis and Decision Support SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe ADP: Adversarial Dynamics Priors for Physically Grounded Humanoid Locomotion WorldBagel: Uncovering the Power of Unified Multimodal Models for Vision-Language-Action-World Modeling CaresAI at SMM4H-HeaRD 2026: Predicting TNM Staging Reading Between the Dots: Decoding Hidden Computation across Filler Tokens AquaGen: Scaling generative models to molecular dynamics precision on thousands of atoms Relevance-Based Embeddings: Lightweight Candidate Retrieval via Heavy-Ranker Calls Latent Clarity: Bridging World-Model Kinematics to Semantic Manifolds for Video Anomaly Anticipation How to Avoid Debate: Scalable AI Safety via Doubly-Efficient Interactive Proofs They Infer What You Meant: Models Represent Communicative Intent More Reliably Than They Act On It SAF3R: Dynamic Sparse Attention for Feed-Forward 3D Reconstruction Transformers RADIO1D: Elastic Representations for Condensed Vision Modeling Revealing Hidden Model Behaviors with Task-Specific Self-Reports Missing Data Imputation under Manifold Hypothesis ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification Sequential Correlations Change In-Context Learning: Effective Context Length and Architectural Mismatch Diffusion learning reveals viable parameter manifolds and compensation geometry in biological dynamical systems LRX-PINN: A Layer-Resolving XNet Physics-Informed Neural Network with Integrated Cauchy Activations for Convection-Dominated Problems Don't Blame the Large Language Model: How Scaffolding Evolution Shapes Coding Agent Quality SABLE: An NDA-Safe Closed-Loop LLM Framework for Analog Circuit Optimization in Industrial EDA Flows Explainable Reinforcement Learning for Adaptive Traffic Signal Control Self-Improving Diffusion Classifiers with Minority Preference Optimization TSP with Predictions: Heatmap to Tour with Provable Guarantees A simplex-based measure of symmetry Weave: Verified Netlist-to-Schematic Conversion via Layered Graph Layout Evaluating LLM Uncertainty in Long-Form Generation Using Deterministic Ground Truth Smooth $\%$MinMax: A Differentiable Relaxation for Codon Harmonization USE: A Unified Self-Ensembling Framework for Test-Time Prompt Tuning Probe, Don't Prompt: A Hidden-State Probe for Metadata Filtering in Multi-Meta-RAG Online Linear Programming for Multi-Objective Routing in LLM Serving TESSERA v2: Scaling Pixel-wise Earth Foundation Models Cross-Modal Fusion of OCT and OCT angiography enface for Improved Diagnostics of Diabetic Retinopathy Significance-First Splitting: Aligning Treatment Heterogeneity Detection with Honest Estimation Explainable AI for Screening Abuse-Related Trauma in Bangladeshi Children: A Training-Free Multimodal Framework Evaluated on Noise-Aware Synthetic Data Efficient Discovery of Conditional Dependencies with Desbordante A Policy Decomposition Framework for Dynamic Order Fulfillment Operations Telescope: Improving Zero Shot Detection of LLM Generated Content By Measuring Token Repetition Probability Fast, Parallel, Query-Efficient Binary Classification Beyond Multilingual Averages: MTEB-PT, a Benchmark for Portuguese Sentence Encoders Seeing Once is Enough? Online Geometry-Aware Token Pruning for 3D Question Answering Governing Generative AI Across Financial Institutions: An SR 26-2-Compatible Framework for Generative AI Risk Control !Imperio, smolVLA: The Implications of Data Poisoning on Open Source Robotics ACE: Agentic Control for Embodied Manipulation via Zero-shot Workflow Reasoning XS-VLA: Coupling Coarse-grained Spatial Distillation with Latent Flow Matching for Lightweight Robotic Control A Clustering-Based Framework for Identifying Suspicious Trading Patterns in Capital Market Sangam: Efficiently Serving Diffusion LLMs with the AR Stack Detecting Hallucinations in Retrieval-Augmented Generation through Grounding-Aware Sensitivity by Perturbation (GASP) AI-RAN on NPUs: Baseband Processing Without Baseband Chips Unified convergence analysis for gradient descent optimization methods in the training of deep neural networks Robust Bayes-Assisted Conformal Prediction Hierarchical Multi-to-Single-Modal Knowledge Distillation for Disruption Prediction in EAST Air-Plan: Query-Optimized Topology Selection for Over-the-Air Decentralized Federated Learning Deep Learning for Dynamic Programming with Recursive Utility CausalGame: Benchmarking Causal Thinking of LLM Agents in Games Fixed-Confidence Best-Arm Identification for Causal Mediation Analysis Legible-by-Construction: Attention and End-to-End Transformers Server-side Anti-cheat in FPS games for Aimbot detection using Deep learning and Machine learning Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models The Good, the Bad, and the Brittle: Benchmarking Robustness and Generalisation of Histopathology Foundation Models Quadrature-Aware Complex-Linear Neural Operator for Boundary-to-Field Prediction in Resonant Acoustics UI-MOPD: Multi-Platform On-Policy Distillation for Continual GUI Agent Learning On Pairwise Quantile Regression -- Statistical Guarantees and Applications Tightening the Score Matching Gap for Diffusion Models Wan-Streamer v0.2: Higher Resolution, Same Latency Fields of the Planet: Field Boundary Mapping Beyond 10m Weakly Guided and Autoregressive Beamformer Parameterization for Generalizable Moving Speaker Extraction in Higher-Order Ambisonics PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification From Interaction to Intent: Inferring User Objectives from Provenance Logs Transplanting, inverting, and preventing a misalignment persona: method-conditional emergent misalignment in Qwen2.5 Constrained Flow Matching via Lagrangian Dual Flows Boundary-layer asymptotics for Gaussian-smoothed singular measures Causal ASCEND: Scalable Two-tier Causal Discovery on High Dimensional Multi-omics Data CRISP: A Spatiotemporal Camera-Radar Backbone for Driving via Forecasting-Based World-Model Pretraining Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models EEG-SpikeAgent: Agentic Closed-Loop Program Synthesis for Automated EEG Spike Detection Detecting Answer-Driven Reasoning in LLM-Based Educational Tutors via Truncated Chain-of-Thought Auditing MTEB-PT: A Text Embedding Benchmark for Brazilian Portuguese Breaking the One-Dimensional Expressibility-Trainability Tradeoff Retroactive Chain-of-Thought (RetroCoT): Forensic Reconstruction Prompts as a Safety Diagnostic Across Model Generations Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data Decomposition for Bayesian Networks: Local and Parallel Inference GlaKG: A Biomarker-Centric Fundus Knowledge Graph for Explainable Glaucoma Diagnosis and Risk Assessment PAST-TIDE: Prototype-Anchored Statement Tuning with Topic-Invariant Normalization for Stance Detection What You See Is What You Get: Observation-Aligned Supervision for Chart-to-Code Generation Turning Off-Policy Tokens On-Policy: A Plug-in Approach for Improving LLM Alignment LP-SFT: Local-Preserving Supervised Fine-Tuning via Multimodal Entropy Structure Identifiability of Relational Queries in Multi-View Pretraining Wasserstein Residuals: Learning Gradient Flows from Population Dynamics Non-asymptotic Convergence of Stochastic Gradient Descent in Score-based Generative Models Non-Asymptotic Error Bounds for SMC with Biased Proposals: Application to Conditional Diffusion Sampling Context-Constrained Transfer Learning for Tabular Foundation Models via Data Distillation SleepBand: Single-Source Domain Generalization for Sleep Staging via Physiologically Structured Spectral Modeling Unsupervised Detection of Underground Tunnels in Ground-Penetrating Radar Using Depth-Restricted Reconstruction Scoring Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction Joint Velocity Slope Diffusion Prior for Structurally Constrained Velocity Model Building LLM for the development of FCM Canonical quantization of neurons TACTIC-KG: Toward Small Agent Teams for Cyber Threat Intelligence Knowledge Graph Construction Knowledge Knows, Verbalization Tells: Disentangling Latent Directions for Mathematical Solvability in LLMs Beyond Independent Labels: Schwartz-Geometry Decoding for Human Value Detection Physically-Relevant Information Learning in High-Dimensional Time-Derivatives Spaces Geometric Causal Models EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments Rethinking On-Policy Self-Distillation for Thinking Models Unified Audio Intelligence Without Regressing on Text Intelligence Probing Geospatial SSL Representations with Environmental Signals msPCA: An R Package for Sparse PCA with Multiple Components Optimizing ML Workload Partitioning between CPUs and CIM Accelerators for Heterogeneous Computing Privacy-Preserving Robustness Verification for Neural Networks SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis Is the Geometry Doing the Work? An Operating-Point Audit of Hierarchy in Hyperbolic Vision-Language Models Untrusted Content Masking for Web Agents with Security Guarantees Routing Anonymity and Identifiability of Noisy Quantum Hardware Wavelet Scattering Transform for Interpretable Schizophrenia Biomarker Discovery and Classification from Resting-State EEG Quantum Spectral Anomaly Detection How Much is Left? LLMs Linearly Encode Their Remaining Output Length Shape Over Intensity: Directional Topological Encoding for False Positive Reduction in Intracranial Aneurysm Detection Multiplayer Interactive World Models with Representation Autoencoders Selective Disclosure Watermarking for Large Language Models Faithfulness to Refusal: A Causal Audit of Neuron Selectors GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks Fitted Occupancy-Ratio Evaluation without Bellman Completeness LLM-as-a-Verifier: A General-Purpose Verification Framework Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification From Fixed to Free Cameras: Calibration-Free View-Robust Vision-Language-Action Model A Bayesian Approach for the Network Reconstruction of Interdependent Critical Infrastructure Systems from Cascading Failures Proportionally Representative Clustering Unveiling the Unborn: Advancing Fetal Health Classification through Machine Learning DIRA-SS:Dynamic Domain Incremental Regularised Adaptation -- Self-Supervised Interpretable factorization of clinical questionnaires to identify latent factors of psychopathology TERC: A Transfer Entropy Redundancy Criterion for State Variable Selection in Reinforcement Learning Graph Unitary Message Passing Hierarchical Bayesian Crowdsourcing with Item Difficulty On Regularization via Early Stopping for Least Squares Regression MambaCapsule: Towards Transparent Cardiac Disease Diagnosis with Electrocardiography Using Mamba Capsule Network Training Verifiably Robust Agents Using Set-Based Reinforcement Learning VLMGuard: Bootstrapping Malicious Prompt Detectors from Unlabeled Vision-Language Prompts in the Wild The Method of Gaps: Exact Expressions for the Generalization Error of Supervised Learning Algorithms GDBR: Label Recovery Attack Against Partial Gradient Encryption in Federated Learning Stroke Prediction using Clinical and Social Features in Machine Learning Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization Machine Unlearning via Information Theoretic Regularization Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models Cohort-attention Evaluation Metrics for Tied Data A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression PDFBench: A Benchmark for De novo Protein Design from Function Boosting Automatic Exercise Evaluation Through Musculoskeletal Simulation-Based IMU Data Augmentation Ensemble Elastic DQN: A Step Dependent Ensemble Approach for Reducing Overestimation in Deep Value-Based Reinforcement Learning InverseScope: Scalable Activation Inversion for Interpreting Large Language Models Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Interpretability and Generalization Bounds for Learning Spatial Physics Tight Stability Bounds for Robust Distributed Learning: Byzantine Failures Hurt Generalization More than Data Poisoning Local Learning Rules for Out-of-Equilibrium Physical Generative Models Counterfactual Operator Relevance for PDE Discovery: Screening, Pruning, and Identifiability Position: Use Sparse Autoencoders to Discover Unknowns Last Layer Hamiltonian Monte Carlo Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation PLoRA: Efficient Concurrent LoRA Training for Large Language Models GlaBoost: A Multimodal Structured Framework for Glaucoma Risk Stratification DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections Sequential Cohort Selection under Uncertainty Convergence of Stochastic Gradient Methods for Wide Two-Layer Physics-Informed Neural Networks for the Poisson Equation Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration ICR-RL: Deep Reinforcement Learning via In-Context Regression Trajectory-Aware Information Matching for Multi-Step Gradient Inversion in Federated Learning Towards a more realistic evaluation of machine learning models for bearing fault diagnosis Self-Improving Neural Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing Adaptive Margin RLHF via Preference over Preferences Panorama: Fast-Track Nearest Neighbors The Three Regimes of Offline-to-Online Reinforcement Learning Octax: Accelerated CHIP-8 Arcade Environments for Reinforcement Learning in JAX Batched Bandits with Heavy-Tailed Rewards Conditional Clifford-Steerable CNNs for PDE Modeling A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning Learning to Reason Efficiently with Discounted Reinforcement Learning APEX: Approximate-but-exhaustive search for ultra-large combinatorial synthesis libraries Machine Learning Guided Optimal Transmission Switching to Mitigate Wildfire Ignition Risk Uncertainty Quantification for Regression: A Unified Framework based on kernel scores PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference QiVC-Net: Quantum-Inspired Variational Convolutional Network, with Application to Biosignal Classification Can Stationary Distributions of Scale-Invariant Neural Networks Be Described by the Thermodynamics of an Ideal Gas? Transformer-Based Multi-Agent Reinforcement Learning for Networked Systems with Long-Range Interactions Recursive Entropic Variational Inference for Nonlinear State-Space Models Walrus: A Cross-Domain Foundation Model for Continuum Dynamics Equivalence of Context and Parameter Updates in Modern Transformer Blocks KAN vs LSTM Performance in Time Series Forecasting Closing Gaps in Emissions Monitoring with Climate TRACE Exploring the Rashomon Set for Concept-Based Models CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Adaptive Partitioning and Learning for Stochastic Control of Diffusion Processes Shapley-based Data Valuation for LLM Alignment via Sequential Preference Optimization Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs Gradient Descent as Implicit EM in Distance-Based Neural Models Prior Diffusiveness and Regret in the Linear-Gaussian Bandit ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs R$^2$PO: Decoupling Rollout and Inference Policies for LLM Reasoning CLEANER: Self-Purified Trajectories Boost Agentic Reinforcement Learning Explicit Credit Assignment through Local Rewards and Dependence Graphs in Multi-Agent Reinforcement Learning Self-Supervised Learning from Structural Invariance A Random Matrix Theory Perspective on the Consistency of Diffusion Models Variational Sparse Paired Autoencoders (vsPAIR) for Inverse Problems and Uncertainty Quantification Multi-Way Representation Alignment Endogenous Resistance to Activation Steering in Language Models Scalable Dexterous Robot Learning with AR-based Remote Human-Robot Interactions Deriving Neural Scaling Laws from the statistics of natural language rePIRL: Learn PRM with Inverse RL for LLM Reasoning DynamiQ: Accelerating Gradient Synchronization using Compressed Multi-hop All-reduce Learning to Discover Iterative Spectral Algorithms Learning on the Manifold: Unlocking Standard Diffusion Transformers with Representation Encoders Efficient privacy loss accounting for subsampling and random allocation MARS: Margin and Semantic-Aware Data Augmentation for Reward Modeling Gradient Regularization Mitigates Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards Incremental Learning of Sparse Attention Patterns in Transformers QEDBENCH: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs Agentic AI-RAN: Enabling Intent-Driven, Explainable and Self-Evolving Open RAN Intelligence Causal Mechanism Reduction: Mechanism Replacement for Neural Network Pruning and Abstraction OSF: On Pre-training and Scaling of Sleep Foundation Models Decentralized Federated Learning by Partial Message Exchange ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution GIPO: Gaussian Importance Sampling Policy Optimization Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects TT-Sparse: Learning Sparse Rule Models with Differentiable Truth Tables A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference Safe RLHF Beyond Expectation: Stochastic Dominance for Universal Spectral Risk Control Deep Learning Network-Temporal Models For Traffic Prediction Language Generation with Replay: A Learning-Theoretic View of Model Collapse Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs Lipschitz-Based Robustness Certification Under Floating-Point Execution Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Learning of Non-Linear Tasks Effective Distillation to Hybrid xLSTM Architectures Generative Inverse Design with Abstention via Diagonal Flow Matching From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data Unsupervised Behavioral Compression: Learning Low-Dimensional Policy Manifolds through State-Occupancy Matching When Can You Poison Rewards? A Tight Characterization of Reward Poisoning in Linear MDPs A Complete Symmetry Classification of Shallow ReLU Networks Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecasting OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distribution Shifts Learning Coverage- and Power-Optimal Transmitter Placement from City Maps: A Comparative Study of Direct and Indirect Neural Approaches ML-Guided Primal Heuristics for Mixed Binary Quadratic Programs Incompressible Knowledge Probes: Estimating Black-Box LLM Parameter Counts via Factual Capacity DBLP: Phase-Aware Bounded-Loss Transport for Burst-Resilient Distributed ML Training Instance-Level Costs for Nuanced Classifier Evaluation Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective Recipe How Many Iterations to Jailbreak? Dynamic Budget Allocation for Multi-Turn LLM Evaluation Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Direct Bethe Free Energy Minimization for Bayesian Neural Networks MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories A Switching System Theory of Q-Learning with Linear Function Approximation MPINeuralODE: Multiple-Initial-Condition Physics-Informed Neural ODEs for Globally Consistent Dynamical System Learning Memisis: Orchestrating and Evaluating Synthetic Data for Tabular Health Datasets A 10,000-Year Global Stochastic Tropical Cyclone Catalog with Wind-Dependent Track Transitions (WHITS) CogAdapt: Adapting Clinical ECG Foundation Models for Wearable Cognitive Load Assessment Hidden-State Privacy Has an Empty Middle Learning in Low-Dimensional Subspaces: Orthogonal Bottlenecks for Reinforcement Learning Emergent Semantic Representations in World Models through Physical Interaction without Linguistic Supervision Prior-Guided Frequency-Calibrated Virtual EEG Channel Inference from Four Frontal Electrodes for Wearable EEG Augmentation De-attribute to Forget for LLM Unlearning Multi-Scale Separable Fourier Neural Networks for Solving High-Frequency PDEs Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Parameter Compression of Deep Neural Networks Private and Stable Test-Time Adaptation with Differential Privacy Pseudospectral Bounds for Transient Amplification in Coupled Gradient Descent ParetoPilot: Zero-Surrogate Offline Multi-Objective Optimization via Infer-Perturb-Guide Diffusion ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research PBSD: Privileged Bayesian Self-Distillation for Long-Horizon Credit Assignment Quickest Detection of Hallucination Onset: Delay Bounds and Learned CUSUM Statistics Selecting Samples on Graphs: A Unified Dataset Pruning Framework for Lossless Training Acceleration A Unified Causal-Origin Taxonomy of Distributional Shifts in Reinforcement Learning From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning OrthoReg: Orthogonal Regularization for Hybrid Symbolic-Neural Dynamical Systems Hard or Just Unreached? Diagnosing the Sampling Blind Spot in Math-Reasoning Difficulty Estimation A Transport-Based Geometry of Belief-Cost UC-Search: Risk-Aware Test-Time Search for Delayed Constrained Time-Series Control Variational Autoencoder Layer Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Heavy-Ball Q-Learning with Residual Weighting Correction NormGuard: Reward-Preserving Norm Constraints in Flow-Matching Reinforcement Learning Golden Hour Divide: Trauma Care Accessibility and Resource Vulnerability in Sri Lanka Curvature-Guided Sheaf Diffusion for Unsupervised Community Detection on Heterophilic Graphs TRIAGE: Role-Typed Credit Assignment for Agentic Reinforcement Learning Generative Model Proposal based Particle Filtering for Data Assimilation Spin-Weighted Spherical Harmonics Enable Complete and Scalable $\mathrm{E}(3)$-Equivariant Networks Predicting Closed-Loop Performance of Latent World Models: Offline Checkpoint Selection for MPC and Model-Based RL Under Non-Markovian Rewards in LunarLander A Memory Efficient Unified Algorithm for Online Learning of Linear Dynamical Systems kNNGuard: Turning LLM Hidden Activations into a Training-Free Configurable Guardrail ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy DemoPSD: Disagreement-Modulated Policy Self-Distillation Analytical Standard Errors for Exploratory Factor Solutions Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition Distribution-free Deviation Bounds and The Role of Domain Knowledge in Learning via Model Selection with Cross-validation Risk Estimation Efficient Cross-Validation for Sparse Linear Regression GestaltMML: Enhancing Rare Genetic Disease Diagnosis through Multimodal Machine Learning Combining Facial Images and Clinical Text Learning to Visually Connect Actions and their Effects Semidefinite programming relaxations and debiasing for MAXCUT-based clustering Replicability is Asymptotically Free in Multi-armed Bandits CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes Fortifying Fully Convolutional Generative Adversarial Networks for Image Super-Resolution Using Divergence Measures Nonparametric Control Koopman Operators Learning rate adaptive stochastic gradient descent optimization methods: numerical simulations for deep learning methods for partial differential equations and convergence analyses Granger Causality in Extremes DrugAgent: Reliable Multi-Agent Integration of Conflicting Biomedical Evidence for Drug-Target Interaction Assessment Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent AMT-APC: Automatic Piano Cover by Fine-Tuning an Automatic Music Transcription Model Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models Discrete distributions are learnable from metastable samples Inclusive KL Gradient Flows: Otto-Wasserstein, Fisher-Rao-Gaussian, and Local-Estimator Dynamics Batch effects can impair federated learning in multi-center omics studies Engineering Carbon Credits Towards A Responsible FinTech Era: The Practices, Implications, and Future Evolutionary Guided Decoding: Iterative Value Refinement for LLMs Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks Neuro-symbolic Weak Supervision: Theory and Semantics Towards Understanding Deep Learning Model in Image Recognition via Coverage Test Quick ViTs: Speeding up Vision Transformers through Equivariance Improved generalization bounds for binary linear classification via isoperimetry FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Topological data analysis using persistent discrete homology Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds Bayesian Invariance Modeling of Multi-Environment Data Context Tuning for In-Context Optimization Semi-parametric Functional Classification via Path Signatures Logistic Regression with Adaptive Order Selection CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk The Bayesian Approach to Continual Learning: An Overview FastCSP: Accelerated Molecular Crystal Structure Prediction with Universal Model for Atoms Parity-Aware Byte-Pair Encoding: Improving Cross-lingual Fairness in Tokenization Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens Robust Sparse Bayesian Learning Based on Minimum Error Entropy for Noisy High-Dimensional Brain Activity Decoding ChainReaction: Causal Chain-Guided Reasoning for Modular and Explainable Causal-Why Video Question Answering Convergence Analysis of the ProbAbilistic Gradient Estimator Algorithm for Weakly Convex Finite-Sum Optimization On a Geometry of Interbrain Networks Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Activation-Deactivation: A General Framework for Robust Post-hoc Explainable AI MACS: Measurement-Aware Consistency Sampling for Inverse Problems Verifier-free Test-Time Sampling for Vision-Language-Action Models Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks MetaCaDI: A Meta-Learning Framework for Causal Discovery from Multiple Environments with Unknown Interventions Feature weighting for data analysis via evolutionary simulation A Provably-Correct and Robust Convex Model for Smooth Separable NMF SpatialThinker: Reinforcing Scene Graph-Grounded Spatial Reasoning via Dense Rewards When is a System Discoverable from Data? Discovery Requires Chaos Score-Regularized Joint Sampling with Importance Weights for Flow Matching InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem Is Generation Required for Data-Efficient Perception? Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models Global universal approximation with Brownian signatures TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference Higher order PCA-like rotation-invariant features for detailed shape descriptors modulo rotation Zero-Shot Distracted Driver Detection via Vision Language Models with Double Decoupling Motion Attribution for Video Generation Graph Neural Networks are Heuristics Tracing 3D Anatomy in 2D Strokes: A Multi-Stage Projection Driven Approach to Cervical Spine Fracture Identification Learning to Optimize by Differentiable Programming Agentic Very Long Video Understanding It's all In the (Exponential) Family: An Equivalence between Maximum Likelihood Estimation and Control Variates for Sketching Algorithms Spectral Gradient Descent Mitigates Anisotropy-Driven Misalignment: A Case Study in Phase Retrieval PCA of probability measures: Sparse and Dense sampling regimes Scalable Cross-Attention Transformer for Cooperative Multi-AP OFDM Uplink Reception Few-Step Diffusion Language Models via Trajectory Self-Distillation LGQ: Learnable Geometric Quantization for Image Tokenization SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Generalized Category Discovery Enhancing Automatic Chord Recognition via Pseudo-Labeling and Knowledge Distillation Data Driven Optimization of GPU efficiency for Distributed LLM-Adapter Serving Compositional Generalization Requires Linear, Orthogonal Representations in Vision Embedding Models A short tour of operator learning theory: Convergence rates, statistical limits, and open questions Learning with the Nash-Sutcliffe loss When Rubrics Fail: Error Enumeration as Reward in Reference-Free RL Post-Training for Virtual Try-On BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations Multi-Agent Reinforcement Learning for V2X Resource Allocation: Disentangling MARL Challenges Through Benchmarking CN-CBF: Composite Neural Control Barrier Function for Robot Navigation in Dynamic Environments Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemics Language-Guided Grasping under Partial Observation for Mobile Manipulation in Field Inspection and Maintenance Local Constrained Bayesian Optimization Adaptive Entropy-Driven Sensor Selection in a Camera-LiDAR Particle Filter for Single-Vessel Tracking SpreadsheetArena: Decomposing Preference in LLM Generation of Spreadsheet Workbooks Coverage-Controlled Preference Mining from Noisy Claim Verification for Evidence-Grounded Generation Na\"ive PAINE: Lightweight Text-to-Image Generation Improvement with Prompt Evaluation Convergence Rate of a Functional Learning Method for Contextual Stochastic Optimization Learning When to Attend: Conditional Memory Access for Long-Context LLMs The Truncation Blind Spot: How Decoding Strategies Systematically Exclude Human-Like Token Choices On the Ability of Transformers to Verify Plans Estimating Individual Tree Height and Species from UAV Imagery Walma: Learning to See Memory Corruption in WebAssembly Model Predictive Path Integral PID Control for Learning-Based Path Following AViS-Mamba: Adaptive Visual Steering of Audio State-Space Dynamics for Violence Detection Large Language Models Generate Harmful Responses Using a Distinct Mechanism, Shared Across Harm Types CableTract: A Co-Designed Cable-Driven Field Robot for Low-Compaction, Off-Grid Capable Agriculture Multimodal Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions ProbeLogits: Kernel-Level LLM Inference Primitives for AI-Native Operating Systems Modelling Gas-Phase Reaction Kinetics with Guided Particle Diffusion Sampling SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair Towards Generalizable Deepfake Image Detection with Vision Transformers Kwai Summary Attention Technical Report Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions Empirical Study of Pop and Jazz Mix Ratios for Genre-Adaptive Chord Generation Defense effectiveness across architectural layers: a mechanistic evaluation of persistent memory attacks on stateful LLM agents Evolutionary Ensemble of Agents When Style Similarity Scores Fail: Diagnosing Raw CSD Cosine in Artist-Style Evaluation BioSEN: A Bio-acoustic Signal Enhancement Network for Animal Vocalizations Yield Curves Dynamics Using Variational Autoencoders Under No-arbitrage When Outcome Looks Right But Discipline Fails: Trace-Based Evaluation Under Hidden Competitor State HaorFloodAlert: A 72-Hour Machine Learning Early Warning System for Flash Floods in Bangladesh's Haor Wetlands High-Risk AI Systems and the Problem of Identity in the European AI Act MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation Gradient-Flow Optimization as Dynamic Random-Effects Inference: Testing and Early Stopping with Applications to Deep Learning Cultural Binding Heads in Language Models MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems Deterministic Envelopes for Tamed SGLD: Decoupling Stochastic Gradient Noise and Localizing Taming How Far Can Chord-Symbol Time-Series Adaptation Carry Genre Identity? Capabilities and Boundaries in Multi-Genre Chord-Symbol Modeling Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery Trainability of IQP Quantum Circuit Born Machines Under Gaussian Initialization Identifiability Without Gaussianity: Symbolic World Models and Near-Infinite Temporal Consistency Foundations of Practical Quantum Advantage in Quantum-Informed Machine Learning for Predicting Chaos Medical Heuristic Learning: An LLM-Driven Framework for Interpretable and Auditable Clinical Decision Rules Attention is Just Another Name for Coupling? A Fast-Slow ODE Perspective on Hierarchical Pretraining Finite-Time Queue Peak Laws in Stochastic Networks: Logarithmic Scaling After Geometric Thresholds TransitNet: A Compact Attention-Augmented Deep Learning Framework for Low-SNR Transit Blind Searches Skill Coverage: A Test Adequacy Metric for Agent Skills Two Layers of Instability in Causal Estimation BluTrain: A C++/CUDA Framework for AI Systems Diagnosing and Mitigating Compounding Failures in Agentic Persuasion via Taxonomic Strategy Retrieval Reclaim Evaluation: A Lossy Memory Is Worse Than an Empty One Autodata: An agentic data scientist to create high quality synthetic data RolloutPipe: Overlapping Pipelined Rollout and Training in Disaggregated On-Policy LLM Reinforcement Learning Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations Automating the Design of Embodied Agent Architectures A Stochastic--Geometric Theory of Scaling Laws in Grokking SGD Provably Prioritizes a Shortcut Spurious Feature in the XOR Model When Does Learning to Stop Help? A Cost-Aware Study of Early Exits in Reasoning Models Harnessing Textual Refusal Directions for Multimodal Safety A global predicted-fMRI drive signal from TRIBE does not predict YouTube replay heatmaps MMAO-Cls: Metabolic Multi-Agent Optimization for Joint Feature Selection and Classifier Tuning An Additive MLP-GNN Framework for Characterizing Chemical and Structural Contributions to Aqueous Solubility HNSW with Accuracy Guarantees Using Graph SpannersArxiv cs.AI
iFLYTEK-Embodied-Omni Technical Report Internal Pluralism and the Limits of Pairwise Comparisons ASK in the Dark: Uncertainty-Gated LLM Assistance under Partial Observability Automated Data Readiness for Scientific AI SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery Object-Centric Environment Modeling for Agentic Tasks MedCalc-Pro: Solving Complex Medical Calculations with LLM Agents Oyster-II: Reinforcement Learning for Constructive Safety Alignment in Large Language Models VERITAS: Towards a General-Purpose Replication Tool for Scientific Research A Sliding-Window-Based Reinforcement Learning for Dynamic Assembly Flow Shop Scheduling with Multi-Product Delivery Evaluating Generative Agents with Actions Grounded in Socially Distributed Task Environments using Incognita Reinforcement Learning for Evidence-Seeking Diagnostic Reasoning with Large Language Models Beyond Forecasting: The Belief-to-Trade Layer in Prediction-Market Agents Human-Centric Reflective Architecture for Human-AI Collaborative Decision-Making Silicon Sampling via Cross-Survey Transfer APeB: Benchmarking Personalization Ability of Large Language Model Agents Organizational Memory for Agentic Business Process Execution Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems Reflective Dialogue or Prompt Refinement? Effects of Tutor Scaffolding on Students' Independent LLM Use for Programming When Aggregate Alignment Misleads: Auditing Policy Repair Without Per-State Expert Actions From Mobile Data to Business Insights: An End-to-End Analytics Framework for Large-Scale Urban Mobility Analysis and Decision Support Efficient bias mitigation in T2I diffusion models using Concept Graphs Personalized Causal Recourse: A Human-In-The-Loop Approach Demonstrating Generalization Failures via Mixtures of Conditional Policies MentalThink: Shaping Thoughts in Mental SVG World Applying Answer Set Programming with Fuzzy Membership Functions: a Case Study How to Avoid Debate: Scalable AI Safety via Doubly-Efficient Interactive Proofs The Role of Rigor in Artificial Intelligence Robust Feasible Route Construction through Collaborative Partition Optimization Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry Explainable Reinforcement Learning for Adaptive Traffic Signal Control Can Conversational Temporal Dynamics Improve Depression Detection in Dyads? A Preliminary Investigation in Multi-Modality Perspectives Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process Folding, Reasoning, and Scaling with Open-source Drug Discovery Engine Evaluating LLM Uncertainty in Long-Form Generation Using Deterministic Ground Truth Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions Online Linear Programming for Multi-Objective Routing in LLM Serving Explainable AI for Screening Abuse-Related Trauma in Bangladeshi Children: A Training-Free Multimodal Framework Evaluated on Noise-Aware Synthetic Data What is Left for Us? Second Scholarship Against the Degradation of Research by AI PLACEMEM: Toward a Compute-Aware Memory Plane for Lifelong Agents Forethought: Verifiable Reasoning from Neurosymbolic Primitive Programming Language models guide symbolic equation discovery by controlling search A Clustering-Based Framework for Identifying Suspicious Trading Patterns in Capital Market Agentic IoT: Architectures, Applications, and Challenges Toward the Internet of Agents Unsupervised Features Mining via Activation Geometry Biological Motifs for Agentic Control Progress- and Reliability-Oriented Group Policy Optimization for Agentic Reinforcement Learning Shortcut Learning in Legal Judgment Prediction: Empirical Evidence from the UK Employment Tribunal Agentic SABRE: An Uncertainty-Aware Neuro-Symbolic Multi-Agent Framework for Adaptive Ransomware Detection HAS-Bench: Evaluating LLM-Based Human-Agent Systems under Configurable Human Participation Do GUI Agents Believe Their Eyes? Diagnosing State-Belief Reliance on Pixels versus Structure Server-side Anti-cheat in FPS games for Aimbot detection using Deep learning and Machine learning Nemotron-Labs-3-Puzzle-75B-A9B: Compressing Hybrid MoE LLMs Decentralized Aggregation of LLM Predictions via Wagering Mechanisms MechMath Agent Team: LLM Driven Agents for Mathematical Research LLM-as-a-Tutor: Policy-Aware Prompt Adaptation for Non-Verifiable RL Agent Step Value: Probing the Observer Effect in Black-Box Traces ResearchStudio-Idea: An Evidence-Grounded Research-Ideation Skill Suite from ML Conference Outcomes Why Pure Reasoning is Not Enough: Nature as the Source of Mathematical Innovation Compressing the Validation Bottleneck: An Agentic Self-Driving Lab for Scientific Discovery VLA Grounder: Language-Conditioning Space Optimization for Black-Box VLA Models Measuring Harness-Induced Belief Divergence in Multi-Step LLM Agents Heaviside Continuity of Rolling Coefficients for Eliminating Epistemic Entropy in Large Language Models Detecting Answer-Driven Reasoning in LLM-Based Educational Tutors via Truncated Chain-of-Thought Auditing Attention Limited Reward Learning Governed Individuation: Cryptographically Decoupling an Agent's Learning from Its Authority MRMS: A Multi-Resolution Memory Substrate for Long-Lived AI Agents Formal Disco: Scalable Open-Ended Generation of Formally Verified Programs Integrated Altruistic and Fairness Preference Induces Advanced Mutual Cooperation in Sequential Social Dilemmas FORGE: Research-Trajectory Hijacking Attacks on Deep Research Agents FM-ChangeNet: Learning Change through Pathwise Feature Transport AgenticPD: A Stage-Aware Agentic Framework for Physical Design QoR Optimization CARL: Constraint-Aware Reinforcement Learning for Planning with LLMs Medi-Gemma: A Hybrid Clinical Decision Support System Integrating Deterministic EMR Analytics and Retrieval-Augmented Generation STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training Quantum-Inspired Harmonic Decision Models: A Computational Framework for Music Generation Toward Trustworthy Large Language Model Agents in Healthcare Diffusion-Guided Uncertainty-Aware Delayed Policy Optimization ASSEMCAD: Production-Ready CAD Assembly Generation from Natural Language TacReasoner: A Dynamic Tactile-Language Framework for Interactive Reasoning in Real-World Scenarios DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation The Changing Role of Symbolic Methods in Artificial Intelligence AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments CP-WSP: A Declarative CP-SAT Framework for Configurable Multi-Constraint Workforce Scheduling Rethinking On-Policy Self-Distillation for Thinking Models ClassicLogic: A Knowledge-Driven Benchmark of Classic Puzzle Games for Evaluating Compositional Generalization Reason, Reward, Refine: Step-Level Errors Corrections with Structured Feedback for Physics Reasoning in Small Language Models EvoAgentBench: Benchmarking Agent Self-Evolution via Ability Transfer MoP-JEPA: Hard-Assigned Predictor Mixtures for Stochastic JEPA World Models MetaSkill-Evolve: Recursive Self-Improvement of LLM Agents via Two-Timescale Meta-Skill Evolution Evaluating and Understanding Model Editing for Medical Vision Language Models OptiAgent: End-to-End Optimization Modeling via Multi-Agent Iterative Refinement Graph Sparse Sampling: Breaking the Curse of the Horizon in Continuous MDP Planning SovereignPA-Bench: Evaluating User-Owned Personal Agents under Evolving Intent, Platform Mediation, and Consent Constraints LLM-as-a-Verifier: A General-Purpose Verification Framework SiamixFormer: a fully-transformer Siamese network with temporal Fusion for accurate building detection and change detection in bi-temporal remote sensing images PotatoGANs: Utilizing Generative Adversarial Networks, Instance Segmentation, and Explainable AI for Enhanced Potato Disease Identification and Classification Specific Domain Ontology Construction Using Large Language Models Neural-Network Inverse Design of SRF Cavities and Transmons for Bosonic Quantum Computation GLM-5 Serving Parameter Tuning for OpenClaw: Single-Deployment MaaS Inference Optimization for Long-Context Agent Workloads AutoResearch: An Execution-Grounded Multi-Agent Framework for Reliable Research Workflow Automation SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces PEEK: Predictive Queue-Informed KV Cache Management for LLM Serving The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era Not Every Sync Is Safe: Calibrated DiLoCo Scheduling for Shared AI Infrastructure DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Double-Helix Active Geometry: LiDAR-Anchored Multi-View Depth with Selective Abstention Attention Dynamics in Diffusion Models: A Visual Analytics Framework for Human-AI Collaboration From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation Cross-Receiver Open-Set Radio Frequency Fingerprinting via Structure-First Adaptation DOSE-I: A Multimodal Biosignal Dataset of Procedural Sedation for Endoscopy -- Technical Report Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion From Tensor Buffer to Distributed Memory Hierarchy: A Survey of KV Cache Management for LLM Serving Criterion-Conditional In-Context Learning: Evaluating Criterion-Shift Adaptation in Vision-Language Models Homer: Understanding Long-form Videos with Hierarchical Memory and Agentic Reasoning An automated method of identifying incorrectly labelled images based on the sequences of loss functions of deep learning networks AgentLTL: A Trace-Verification Framework for Measuring, Enforcing, and Training Procedural Compliance in Tool-Using LLM Agents Knowledge-Centric Information Systems Fusion: A Framework for Unified Sequential Token AdaptatIon in VisiOn TraNsformers The agent creates, we validate: A Lightweight Framework for Agentic Artifact Generation COMET: Combinatorial Optimization for Multiplex Editing Targets Via Constraint-Preserving QAOA Fine-Grained Computation Offload for Off-the-Shelf Servers in Tens of Lines QuantFlow: A Federated Mamba-Based Post-Transformer Foundation Model for Time-Series Forecasting Federated Learning for Object Detection: Enabling Collaborative Drone Learning Without Centralizing Data Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting Metronome: Bound the Cache, Keep the Beat for Real-Time Interaction Model Serving K9-Bench: Evaluating Multimodal LLMs on Canine-Centric Videos S-EMBER: A Large-Scale Benchmark for Streaming Egocentric Memory Retrieval LLMoxie: Exploring Agentic AI for Scientific Software Development Not All Refusals Are Equal: How Safety Alignment Fails Cybersecurity at Scale Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models Signal from Space: Detecting Schools and Towers to Bridge the Digital Divide SMOCS: A Streaming Framework for Simplified Deployment, Monitoring, and Optimization of ML Systems in Production Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity Out-of-Distribution Generalization of Risk Aversion in Language Models Gemma 4 Technical Report Safe Inference-Time Alignment via Lagrangian Reward Augmentation A Preliminary Study on Explaining Risk of Code Changes using LLM-Based Prediction Models Seduced by the Narrative: Assessing Rule Adherence in Semi-Open Textual Sandboxes Training Hybrid Block Diffusion Language Models with Partial Bidirectionality SovereignNegotiation-Bench: Evaluating User-Owned Personal Agents In Delegated Bargaining Under Privacy, Consent, Evidence, And Institutional Pressure Vision Token Manipulation Attacks on Cloud-Edge Inference of Large Vision-Language Models JavaVulBench: A Java Vulnerability Benchmark with Realistic Splits, a Unified Multi-Backend Harness, and a Leakage-Aware Evaluation Mode Differential Amplifier-Inspired AmpAttention for Multi-View Robotic Manipulation Determinants and Limits of LLM Security-Tool Orchestration: A Study with HexStrike-AI Where do LLMs Fall Short in CBT-Guided Affective Reasoning? SPLIT: Training-Free AI-Generated and Partially Edited Video Detection via Spatial Patch-Level Incoherence and Temporal Roughness PPE-Bench: A Benchmark for Evaluating MLLM Unlearning under Private-Public Entanglement TIER: Trajectory-Invariant Explanation Regularization for Membership Privacy Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models CoACT: Action-Preserving Observation Compression for Coding Agents Bootstrap Flow-Map Tree Sampling Enables Online Feedback Driven Search Harmonic-Aware Transformer for Real-Time Catheter Localization in Interventional Procedures of Magnetic Particle Imaging R3D: Quantitative 3D Spatial Reasoning for Egocentric Wearables VideoSearcher: Empowering Video Deep Research with Multi-Tool Agentic Reasoning via Reinforcement Learning Modeling the Impact of Visual Brand Language on Attention, Object Recognition, and Memory Retrieval PromptPET: Privacy-Utility Optimized Prompt Obfuscation MatPhaseBench: A Semantics-Guided Benchmark for Materials Phase Diagrams Understanding A Precedent-Guided Co-Scientist for Side-Effect-Aware Drug Redesign Pooling-Based Context Modeling for Convolution-Free Deep Image Prior The Foreign Policy AI Evaluation Gap Parallelized Autoregressive Decoding for Omni-Modal Dense Video Captioning Individual Parameters in Weight-Sparse Transformers Appear Interpretable Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Enhanced Feature Extraction for IoT Network Intrusion Detection Using GNNs and KAN VISTA: Auditing Semantic Divergence in Vision-Language Models CONFLUX: A Latent Diffusion Model for 3D Chest-CT Synthesis with RL Post-Training PosterHarness: Turning Scientific Poster Generation into an Auditable Instruction-Following Benchmark Back to Basics: Improving Molecular Understanding in LLMs via SMILES-Graph Translation Can Model Merging Improve Aggregation in DiLoCo? HyperVAttention: Efficient Sparse Attention with Spatio-Temporal Clustering for Video Diffusion MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model OmniFocus: Query-Guided Modality-Balanced Token Compression for Omni-Modal Large Language Models LACE-SVD: Loss-Aware SVD with Cumulative Error Correction for LLM Compression Spectral Rewiring for Exploration, Purification, and Model Merging PixCon: Clean-Positive Contrastive Learning for Foundation-Model Semi-Supervised Segmentation Attention-Guided Efficientnet Architecture For Precise Criminal Identification in Surveillance Images STELLA: Efficient Sensor-to-LLM Translation for On-Device Human Activity Recognition Don't Wait to Reply: Towards Responsive yet Thoughtful Dialogue through Proactive Thinking Flow-A11y: Flow-Aware Accessibility Testing SNR-Adaptive Unified Diffusion for Multi-Task Medical Image Segmentation ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy A Multi-Task Deep Learning Framework for Real-Time Intelligent Video Surveillance with Temporal Event Validation Detecting Architectural Drift in Safety-Critical Firmware through Runtime Trace Analysis Text as Partial Constraint: Core-Residual Alignment for Robust Vision-Language Learning CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification Rethinking Neural Nonlinearity as Gating Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion Which Algorithm Specification Formats Help Language Models Implement Machine Learning Algorithms? The Role of Prompt Language and Translation-Theory-Driven Prompts in Large Language Models: A Case Study on Spanish-Chinese Journalistic Translation KARMA: Knowledge graph-based Automated Reasoning Materialization and Alignment Decentralised Federated Learning over Temporal Networks: The Role of Heterogeneities Effectiveness of LLM-based Software Diversity for Reliability Improvement -- an Empirical Study CRRL: A Causality-Based Reinforcement Learning Framework for Autonomous System Recovery Teaming Up with AI: Coordination and Cooperation AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Scalable Maximal Frequent Episode Mining with Desbordante A Bayesian Framework for Evaluating Scenario Compatibility in Generative Population Synthesis Self-Specializing Vision-Language Transmon Chip Calibration in a Physics-Grounded Environment Transition Information Density: Morphological Trajectories, Synesthetic Perception, and Structured Interpolation in Neural Training (or: The Synesthetic AI) OpenGlass: A Sensing-Computing Split Architecture for Local MLLM-Driven Real-Time Visual Assistance Builder, Defender, Breaker: The Case Against Removing the Human from the AI-Driven Security Lifecycle CONTRA: Red-Teaming Configurations of Personalizable Agents Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Unbiased Alignment for Large Language Models with Noisy Preferences Semantic Segmentation-Driven Image-Level Diagnosis of Liver Cancers in Hematoxylin and Eosin Histopathology Images A harmonised dataset for Earth system foundation models Is Agentic Code Review Helpful? Mining Developers' Feedback to CodeRabbit Reviews in the Wild Hierarchical Multi-Agent Reinforcement Learning for Carbon-Aware AI Data Centers in Power Distribution Systems From Judgments to Issues: Structured Extraction of Legal Reasoning with Citation-Hallucination Control SPORK: Self-Speculative Forking to Accelerate Agentic LLM Inference FedAvg for HAR: Exploring the Tradeoff Between Personalized and Generalization Accuracy Efficient Decentralized Multi-task Dataset Valuation via Model Merging PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation LLM-Enhanced Hierarchical Heterogeneous Graph Representation Learning for Malicious Python Package Detection Brand-as-Memory: Vision-Language Models Encode Causal, Mechanistically Localizable Credibility Priors for News Sources Spectral Signatures of Large Language Models The S-ICDF Dataset: Sionna-Simulated Dynamic Interference Characterization and Direction Finding DETECT-3B-Omni is Agnostic of Content and Demographics Securing Multi-Tool AI Agent Chains With Dynamic, Real-Time Compositional Policies Amortising Bayesian Experimental Design for Sequential Information Gathering in LLMs No Time Like the Present: Agentic Test-Time Training for LLM Agents TRIAGE: Trustworthy Retrieval Instrumentation And Graph Evaluation HiMe: Hierarchical Embodied Memory for Long-Horizon Vision-Language-Action Control SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe Best-of-Better-$N$: Generating Pre-Aligned Responses with In-Context Learning CaresAI at SMM4H-HeaRD 2026: Predicting TNM Staging Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation STRATOS: Bridging the Symbolic-to-Numeric Gap in Spatio-Temporal Text-to-SQL for Meteorological Data Reading Between the Dots: Decoding Hidden Computation across Filler Tokens CAGE-1: Control, Assurance, and Governance Evaluation for Enterprise Agentic AI AGL-1: The Enterprise AI Governance Layer as a Control Plane for Trusted Enterprise Intelligence Aligning Language Models with Selective Prediction Latent Clarity: Bridging World-Model Kinematics to Semantic Manifolds for Video Anomaly Anticipation EPRA U-Net: An Efficient Pyramid Residual Attention Framework for Accurate Infarct Segmentation in Diffusion-Weighted MRI Teacher Supervision over Representation Equivalence Classes Differentiate the Evaluator, Not the Program: An Efficient Runtime Representation for Neuro-Symbolic Learning PLGSA-Transformer: Periocular Landmark-Guided Attention with Occlusion-Adaptive Cosine Thresholding for Cross-Modal Masked and Unmasked Face Recognition Responsibility Distribution Estimation in Ego-View Accident Videos with Multimodal Large Language Models An Interpretable Deep Learning Framework for Discovery and Clinical Validation of Deep Radiomic Signatures in Tumor Classification Token-Based Affordance Grounding with Large Vision-Language Models They Infer What You Meant: Models Represent Communicative Intent More Reliably Than They Act On It A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning RADIO1D: Elastic Representations for Condensed Vision Modeling An AI-Assisted Solution to the Signed BAR Conjecture: Uniqueness in the Harrison--Reiman Class and a Completely-$\mathcal{S}$ Class Obstruction Revealing Hidden Model Behaviors with Task-Specific Self-Reports Moonstone: A Multimodal Foundation Model and Benchmark for Lunar Remote Sensing ClinOCR-Bench: A Comprehensive Clinical Scanned Document Dataset for Optical Character Recognition Model Evaluation ELiTeFormer: An Efficient Transformer for FPGAs AutoCedar: An Agentic Framework for Verifier-Guided Access Control Policy Synthesis ViPo-MLLM: Visual-Pose Multimodal LLM for Gloss-Free Sign Language Translation A Fair Benchmarking of Deep Relational Database Learning Models Phase-Preserving Trimodal Transformer for Tropical Forest Biomass Estimation Using Optical and PolInSAR Data Don't Blame the Large Language Model: How Scaffolding Evolution Shapes Coding Agent Quality OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies CoGen3D: An Agentic Human-AI Co-Design Pipeline for 3D Asset Generation for Virtual Reality Attending to Multimodal Generation One Token at a Time A Failure-Mode Benchmark for Polymorphic Sybil Poisoning in RAG EmCom-Diffusion: Probing Visual Reflection in Emergent Languages via Image Generation FedACT: Federated Adaptive Coordinate Trust Modulation for Robust Transformer Training under Data Heterogeneity Self-Improving Diffusion Classifiers with Minority Preference Optimization SkillFab: An Agent-Native Skill Production Platform Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective Foundations of Equivariant Deep Learning: Unifying Graph and Sheaf Neural Networks Punching Above Their Weight: Classification-Head Fine-Tuning of Tiny Language Models (TLMs) for Verifiable Multiple-Choice Tasks CineMobile: On-Device Image-to-Video Diffusion for Cinematic Camera Motion Generation Probing Low-Level Acoustic Attribute Encoding in CLAP Audio Embeddings CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-centric 3D Scene Generation DualView: Preventing Indirect Prompt Injection in Personal AI Agents Q-TriM: Question-Guided Tri-Modal Attention for Audio-Visual Question Answering How Do Diffusion Classifiers Decide? A Bias-Centric Evaluation Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL When Simpler Is Better: Evaluating Translation Pipelines for Medieval Latin Manuscripts High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching GeoSelect: Spatial-Program Execution for Training-Free Referring Remote Sensing Image Segmentation Next-Gen Sponsored Search: Crafting the Perfect Query with Inventory-Aware RAG (InvAwr-RAG) Based GenAI Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language Enhancement of E-commerce Sponsored Search Relevancy with LLM Advanced Topic Modeling Techniques for Categorizing Software Vulnerabilities TabQueryBench: A Query-Centric Benchmark for Synthetic Tabular Data TokAN: Accent Normalization Using Self-Supervised Speech Tokens Probe, Don't Prompt: A Hidden-State Probe for Metadata Filtering in Multi-Meta-RAG MPSelectTune: Prompt-type Selection for Fine-tuning improves Concept Unlearning in LLMs Why3-py: A Tool for Formal Verification of Hypothesis Testing and Meta-Analysis in Python The Remarkable Effectiveness of Providing AI Agents with Natural Language Tools: A Replication Study Validating NLT Performance Across 14 Models NormWorlds-CF: Solver-Verified Counterfactual Normative Reasoning with Metamorphic-Relation GRPO Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action Control Refused in Chat, Written in Code: Workflow-Level Jailbreak Construction in IDE Coding Agents Order-based Causal Discovery for Multistage Processes Scalable Semantic Steering of Embedding Projections BanglaMemeEvidence: A Multimodal Benchmark Dataset for Explanatory Evidence Detection in Bengali Memes NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization Full Glyph Images Beat Token Embeddings: A Controlled Study for Transformers Separating Representation from Reconstruction Enables Scalable Text Encoders When Does Small Data Work? Accuracy and Efficiency Trade-offs Between Tabular Foundation Models and Conventional Methods for Crowd-State Classification at Hajj and Umrah Finite Reliability Representations: Noise-Calibrated Belief-Space Covers for Reliable Decision-Making A Unified Algebraic Framework for Classification Performance Evaluation Efficient Discovery of Conditional Dependencies with Desbordante OmniOpt: Taxonomy, Geometry, and Benchmarking of Modern Optimizers The "I Don't Know" Filter: Enhancing Agentic Reliability in Function Calling Reward-Gated On-Policy Distillation Telescope: Improving Zero Shot Detection of LLM Generated Content By Measuring Token Repetition Probability Speaker-Disentangled Chunk-Wise Regression for Syllabic Tokenization Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction Beyond Multilingual Averages: MTEB-PT, a Benchmark for Portuguese Sentence Encoders Benchmarking API Drift in LLM-Generated Quantum Code Across Successive SDK Versions Seeing Once is Enough? Online Geometry-Aware Token Pruning for 3D Question Answering FedSPM: Routing-Enabled Federated Learning under Dual Heterogeneity via Semiparametric Mixture Submitted and Diagnostic Analysis of Full-Text Temporal Retrieval for LongEval-Sci DynaVieW: Schema-Guided World Modeling for Understanding Hierarchical Visual Dynamics Parametric Memory Decoding for Zero-Shot Routing in LoRA-Based External Parametric Memory SOV-CAD: Stepwise Orthographic Views Guided CAD Modeling Sequence Reconstruction Conflict-Based Lazy Search for Fast Multi-Manipulator Planning CSB: A Counting and Sampling tool for Bit-vectors !Imperio, smolVLA: The Implications of Data Poisoning on Open Source Robotics HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding Mask-based Predictive Representations for Reinforcement Learning Information-Geometric Superposed Vowel Evaluation: Part 1. Moraic Syllabary (Japanese) SeeMe: Mitigating Hallucinations in Large Vision-Language Models through Effective Visual Token Engineering Piercing Gilbreath's Conjecture: From Deep Number Theory Insights to Fintech and Cybersecurity CritiqueDriveVLM: From Verifier-Guided Reinforcement Learning to Latent Thought Distillation for Autonomous Driving Detecting Hallucinations in Retrieval-Augmented Generation through Grounding-Aware Sensitivity by Perturbation (GASP) SoftVTBench: A Safety-Aware Visuo-Tactile Benchmark for Physically Constrained Robotic Manipulation of Deformable Objects Hierarchical Multi-to-Single-Modal Knowledge Distillation for Disruption Prediction in EAST Signal or Noise? Understanding Generative Models for Real-World Sensor Time Series HALO-WA: Hybrid-Attention Latent-Guided Online Reinforcement Learning for World-Action Models LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation Self-Reference in Large Language Models: The Introspection Threshold for Recursive Self-Improvement Risk-Constrained Freshness-Aware Semantic Caching for Open-Web Retrieval-Augmented LLMs Agentic-V2X: Small Language Model Agents for Deadline-Aware V2X Scheduling in 5G/6G Networks CausalGame: Benchmarking Causal Thinking of LLM Agents in Games HiFA4: Training-Free 4-bit FlashAttention on Ascend HIF4 NPUs for LLM Inference Fixed-Confidence Best-Arm Identification for Causal Mediation Analysis One Framework for All: Cross-Modal Membership Inference for Generative Models IRIS: An Intelligent Vision-Language System for Ocular Surface Diseases via Topic Tree and Scene-Driven VQA Generation HASSL: Hierarchy-Aware Self-Supervised Learning Framework for Single Cell Microscopy Auto-AEG: Scalable Data Construction for Open-Vocabulary Audio Event Grounding Full-Stack FP4: Stable LLM Pretraining with Quantized Projections, Optimizers, and Attention Transferability Between Understanding and Generation in Unified Multimodal Models UI-MOPD: Multi-Platform On-Policy Distillation for Continual GUI Agent Learning dOPSD: On-Policy Self-Distillation for Diffusion Language Models evalci: A Python Library for Statistically Rigorous Comparison of Language Model Evaluations On Pairwise Quantile Regression -- Statistical Guarantees and Applications Covert Trait Propagation Is Representation Alignment: Mechanistic Evidence from Hidden-Channel Distillation RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies A Retrieval-Augmented Framework for Detecting and Resolving Pragmatic Ambiguities in Natural Language Requirements ResearchStudio-Reel: Automate the Last Mile of Research from Paper to Poster, Video, and Blog Generative wave propagator Wan-Streamer v0.2: Higher Resolution, Same Latency From Regulation to Requirements: An Automated Requirement Derivation and Explanation Pipeline A Deep Learning-based surrogate model for Severe Accidents in nuclear reactors using ASTEC Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier Operator-on-F complements value-equivalence: a planning-time diagnostic for latent world models Regime-Conditional Stabilisation of LLM-Augmented Cooperative Multi-Agent Reinforcement Learning PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Two Black Boxes, One Solver: Encoder Probing and Decoder Attribution for Neural Multi-Attribute VRP under Hard-Mask and Recourse Decoders Transplanting, inverting, and preventing a misalignment persona: method-conditional emergent misalignment in Qwen2.5 Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Language Models Represent and Transform Concepts with Shared Geometry Training-Free Model Selection and Domain-Aware Score Calibration for First-Shot Anomalous Sound Detection Lyapunov-Guided Training for Hardware-Safe Neural Networks Under Fixed-Point Arithmetic Obey, Diverge, Collapse: Blind Obedience to Incorrect Instructions Drives Code LLMs to Irrecoverable Code Semantic Collapse CRISP: A Spatiotemporal Camera-Radar Backbone for Driving via Forecasting-Based World-Model Pretraining Auto: The AGI Compiler Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World Models Explainable Novel Category Discovery in Semantic Concept Space Lights, Camera, Carbon: Architectural Scaling Laws for Video Generation Energy Consumption Predicting Therapeutic Outcome via Aligning Patient-Specific Knowledge Graph and Gene-Level Perturbation Representations EEG-SpikeAgent: Agentic Closed-Loop Program Synthesis for Automated EEG Spike Detection A Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent Post-Training LLM-Driven CI-CD Workflow Intelligence for Cyber Systems Engineering Simple-to-Complex Structured Demonstrations for Vision-Language-Action Learning TORINO: Token Reduction via Interpretable Concept Overlap in Vision-Language Models LCPNet: Latent Consistent Proximal Unfolding Network for Infrared Small Target Detection Do All Visual Tokens Matter Equally? Object-Evidence Preserving Token Merging for Vision-Language Retrieval G2VD: Generalizable AI-Generated Video Detection via Counterfactual Intervention and Causal Disentanglement SILO: Simulation-in-the-Loop Sim-to-Real Transfer for Multi-Stage Cable Routing Hierarchical Evidence-Driven Reasoning for Long Document Understanding Retroactive Chain-of-Thought (RetroCoT): Forensic Reconstruction Prompts as a Safety Diagnostic Across Model Generations Machine Learning for Depression Screening and Intervention: an Original Circadian Rhythm Score-based Methodology Targeted Structure Completion for Sparse-View 3D Reconstruction in Autonomous Driving Elastic Gang: Per-Token Membership Change for a Hard-Barriered LLM Inference Gang Co-Scheduled with OS Processes Do Vision-Language-Action Models Mean What They Say? On the Role of Faithfulness in Embodied Reasoning ToolFailBench: Diagnosing Tool-Use Failures in LLM Agents URSA: Chemistry-Aware Benchmark for Utilitarian Retrosynthesis Assessment Strategic Buying Agents RSPO: Reward-Swap Policy Optimization for Multi-Turn LLM Agents Geometry-Aware Motion Latents for Learning Robust Manipulation Policies Dashboard2Code: Evaluating Multimodal Models on Reconstructing Interactive Dashboards Turning Off-Policy Tokens On-Policy: A Plug-in Approach for Improving LLM Alignment RustMizan: A Compilable, Contamination-Aware Benchmarking Framework for Rust Vulnerabilities Wasserstein Residuals: Learning Gradient Flows from Population Dynamics Trust Region Policy Distillation Multi-Turn On-Policy Distillation with Prefix Replay Predicting Drafted Deck Strength for "Magic: the Gathering" An Exploration of Agentic Information Fusion for Test Maintenance Prediction Evaluating the Effect of Linguistic Relatedness on Cross-Lingual Transfer in Large Multilingual Automatic Speech Recognition HamQASBench: A Hamiltonian-Informed Diagnostic Benchmark for Evaluating Quantum Architecture Search Pretraining Curricula Enable Selective Fine-tuning SynSFX: Multi-Model Sound Effects Synthesis Dataset for Deepfake Detection and Evaluation EventCoT: Event-centric Video Chain-of-thought for Reasoning Temporal Localization Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Input Pathways Shape Few-Shot, Not Zero-Shot, Binding in Tiny Transformers: A Fully-Enumerable Study DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation MemPose: Category-level Object Pose Estimation with Memory Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales Joint Velocity Slope Diffusion Prior for Structurally Constrained Velocity Model Building LLM for the development of FCM The Map Behind the Flow: Finite-Step Gradient Descent as a Dynamical System TACTIC-KG: Toward Small Agent Teams for Cyber Threat Intelligence Knowledge Graph Construction Comparison of Loss Functions for Robust Deep Learning-based Echocardiography Segmentation when Learning with Partially Labelled Data from Multiple Domains ImputeECG: Deep Learning Reconstruction of Complete 12-Lead Electrocardiograms from Incomplete Recordings for Cardiac Assessment Hyperparameter Transfer in Graph Neural Networks Your Agent's Memories Are Not Its Own: Forged Reasoning Attacks on LLM Agent Memory and Defenses LLM-Based Test Oracles: Source-of-Authority Taxonomy -- A Systematic Literature Review RUFNet: Query-Guided Support Mask Refinement and Uncertainty Fusion based on Hybrid Mamba for Few-Shot Brain Tumor Segmentation Beyond Independent Labels: Schwartz-Geometry Decoding for Human Value Detection AIFS-SUBS: Extending Data-Driven Forecasting to Sub-Seasonal Timescales Grokking Is Conditional and Fragile: A Fully-Tractable, Multi-Seed Study at 12K Parameters Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing Agent Data Injection Attacks are Realistic Threats to AI Agents Three-Phase Evaluation of AI-Assisted Software Development Life Cycle PDEFlow: Autonomous Agentic PDE Pipelines for Neural Operator Learning and Solver-Free Inference Open Problems in AI Incident Governance Relational Multi-Agent Reinforcement Learning for Dynamic Pricing in High-Speed Railway Markets When Claws Remember but Do Not Tell: Stealthy Memory Injection in Persistent Personal Agents Unified Audio Intelligence Without Regressing on Text Intelligence Noisy-Channel Minimum Bayes Risk Decoding Optimizing ML Workload Partitioning between CPUs and CIM Accelerators for Heterogeneous Computing CanniUplift: A Holistic Framework for Mitigating Seller and Incentive Cannibalization in E-commerce Uplift Modeling Privacy-Preserving Robustness Verification for Neural Networks Shifting from Discrete to Continuous Reference Data: QSM-Derived Horizontal Tree Biomass Distribution for Deep Learning Biomass Estimation Adaptive Inference Batching using Policy Gradients ProPS: Prompted Profile Synthesis for Natural Language-Conditioned Speaker Embedding Distributions Wavelet Scattering Transform for Interpretable Schizophrenia Biomarker Discovery and Classification from Resting-State EEG Air Quality Downscaling with Station-Guided Pseudo-Supervision Shape Over Intensity: Directional Topological Encoding for False Positive Reduction in Intracranial Aneurysm Detection Steering Optimisation Trajectories in Diffusion Representation Learning TREK: Distill to Explore, Reinforce to Refine Multiplayer Interactive World Models with Representation Autoencoders Selective Disclosure Watermarking for Large Language Models REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing SPEARBench: A Benchmark for Naturalness Evaluation in Streaming Speech-to-Speech Language Models GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks Cortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon Manipulation What Does a Discrete Diffusion Model Learn? Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification Weak-to-Strong Generalization via Direct On-Policy Distillation From Fixed to Free Cameras: Calibration-Free View-Robust Vision-Language-Action Model DrugAgent: Reliable Multi-Agent Integration of Conflicting Biomedical Evidence for Drug-Target Interaction Assessment Neuro-symbolic Weak Supervision: Theory and Semantics Serious Games: Human-AI Interaction, Evolution, and Coevolution Shutdownable Agents through POST-Agency AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario Policy Improvement with Style-Specific Demonstrations Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds A Technical Survey of Reinforcement Learning Techniques for Large Language Models Interactive Learning for LLM Reasoning Activation-Deactivation: A General Framework for Robust Post-hoc Explainable AI RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models A Unified Geometric Space for Topological Alignment Between Transformer-Based Models and Human Brain Networks Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent Collaboration CoT-X: An Adaptive Framework for Cross-Model Chain-of-Thought Transfer and Optimization Turbo-Muon: Almost-Orthogonal Pre-Conditioning for Fast Muon Updates The Language of Bargaining: Linguistic Effects in LLM Negotiations OpenTinker: Separating Concerns in Agentic Reinforcement Learning Programming over Thinking: Efficient and Robust Multi-Constraint Planning Graph Neural Networks are Heuristics Toward Efficient Agents: Memory, Tool learning, and Planning Insect-inspired Visual Point-goal Navigation NEST: Nascent Encoded Steganographic Thoughts Framework of Thoughts: A Foundation Framework for Dynamic and Optimized Reasoning based on Chains, Trees, and Graphs ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning HVR-Met: A Hypothesis-Verification-Replanning Agentic System for Extreme Weather Diagnosis Exploring Plan Space through Conversation: An Agentic Framework for LLM-Mediated Explanations in Planning Correlation-Weighted Multi-Reward Optimization for Compositional Generation On the Ability of Transformers to Verify Plans Mecha-nudges for Machines The Anatomy of Uncertainty in LLMs Chronos: The AI Co-Historian TRACE: Capability-Targeted Agentic Training Gypscie: A Cross-Platform AI Artifact Management System Fun-TSG: A Function-Driven Multivariate Time Series Generator with Variable-Level Anomaly Labeling CAP-CoT: Cycle Adversarial Prompt for Improving Chain of Thoughts in LLM Reasoning To Use AI as Dice of Possibilities with Timing Computation Stop Automating Peer Review Without Rigorous Evaluation Agentic Retrieval-Augmented Generation for Financial Document Question Answering Beyond the Black Box: Interpretability of Agentic AI Tool Use Attributing Emergence in Million-Agent Systems Sign-Separated Asymmetric Finite-Time Error Analysis of Q-Learning When Outcome Looks Right But Discipline Fails: Trace-Based Evaluation Under Hidden Competitor State HaorFloodAlert: A 72-Hour Machine Learning Early Warning System for Flash Floods in Bangladesh's Haor Wetlands MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation Cultural Binding Heads in Language Models Planning with the Views Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches TokenMizer: Graph-Structured Session Memory for Long-Horizon LLM Context Management Some hypotheses on how chatbots work in problem-solving-driven conversations. Large Language Models as confirmation of the Innovation Illusion Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery ComplexConstraints and Beyond: Expert Rubrics for RLVR WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces Reducing the Complexity of Deep Learning Models for EEG Analysis on Wearable Devices Medical Heuristic Learning: An LLM-Driven Framework for Interpretable and Auditable Clinical Decision Rules Kairos: A Regret-Aware Native World-Action Model Stack for Physical AI Skill Coverage: A Test Adequacy Metric for Agent Skills Text Dictates, Music Decorates: Energy-based Attention for Editable Dance Motion Generation Decentralised AI Training and Inference with BlockTrain BluTrain: A C++/CUDA Framework for AI Systems Diagnosing and Mitigating Compounding Failures in Agentic Persuasion via Taxonomic Strategy Retrieval Autodata: An agentic data scientist to create high quality synthetic data Understanding Rollout Error in Graph World Models Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents Customized Generative AI Agent for Transportation Engineering Practice: A Development and Continued Pre-training Guideline FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models Linguistic Firewall: Geometry as Defense in Multi-Agent Systems Routing When Does Learning to Stop Help? A Cost-Aware Study of Early Exits in Reasoning Models A Three-Phase Foundation Model for Tax-Aware Personalized Portfolio Management World-Model Collapse as a Phase Transition Ask the World Before Acting: Environment Probing for Calibrated Agent World Models Harnessing Textual Refusal Directions for Multimodal Safety The MMM Data Model -- A Normative Specification for Knowledge Interoperability in a Decentralisable Knowledge Commons Mnemosyne: Agentic Transaction Processing for Validating and Repairing AI-generated Workflows AI Native Games: A Survey and Roadmap PedNStream: Scalable Network Flow Simulation for Pedestrian Traffic Management Agentic generation of verifiable rules for deterministic, self-expanding reaction classification Agent4cs: A Multi-agent System for Code Summarization in Large Hierarchical Codebases Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation Separating Expert Retention from Autonomous Source Inference in Raw-ECG-Replay-Free Continual ECG Deployment Repair the Amplifier, Not the Symptom: Stable World-Model Correction for Agent Rollouts Safety Testing LLM Agents at Scale: From Risk Discovery to Evidence-Grounded Verification ContextSniper: AntTrail's Token-Efficient Code Memory for Repository-Level Program Repair PACE: A Proxy for Agentic Capability Evaluation ContextNest: Verifiable Context Governance for Autonomous AI Agent Querying and Repairing Inconsistent Prioritized Knowledge Bases: Complexity Analysis and Links with Abstract Argumentation Double Fuzzy Probabilistic Interval Linguistic Term Set and a Dynamic Fuzzy Decision Making Model based on Markov Process with tts Application in Multiple Criteria Group Decision Making Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition Restricted Bernoulli Matrix Factorization: Balancing the trade-off between prediction accuracy and coverage in classification based collaborative filtering Unveiling the Unborn: Advancing Fetal Health Classification through Machine Learning Learning to Visually Connect Actions and their Effects TERC: A Transfer Entropy Redundancy Criterion for State Variable Selection in Reinforcement Learning Graph Unitary Message Passing CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes MambaCapsule: Towards Transparent Cardiac Disease Diagnosis with Electrocardiography Using Mamba Capsule Network Saving GPU Hours in LLM Inference System Development and Online Workloads with Simulation and DBMS-Inspired Cache Replacement Policies Stroke Prediction using Clinical and Social Features in Machine Learning Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization Code Benchmarks Should Prioritize Rigor, Reliability, and Reproducibility Evaluating LLM-Based Regression Test Generation Machine Unlearning via Information Theoretic Regularization Evolutionary Guided Decoding: Iterative Value Refinement for LLMs Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks Empirical Computation: Prompting versus Programming Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption Prima.cpp: Fast 30-70B LLM Inference on Heterogeneous and Low-Resource Home Clusters AgentDynEx: Nudging the Mechanics and Dynamics of Multi-Agent Simulations GenShin: Guiding Rational Liposome Design by Ranking Liposomal Protein Corona through a Docking-Pose-Free GNN MOSAIC: Skill-Centric Manipulation Planning with Physics Simulation Exploring Context-aware and LLM-driven Locomotion for Immersive Virtual Reality kAgent: An execution-guided crash resolution agent for the Linux kernel Towards Understanding Deep Learning Model in Image Recognition via Coverage Test Quick ViTs: Speeding up Vision Transformers through Equivariance PDFBench: A Benchmark for De novo Protein Design from Function Seven Security Challenges in Cross-domain Multi-agent LLM Systems Boosting Automatic Exercise Evaluation Through Musculoskeletal Simulation-Based IMU Data Augmentation Leveraging Natural Language Processing to Unravel the Mystery of Life: A Review of NLP Approaches in Genomics, Transcriptomics, and Proteomics FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Ensemble Elastic DQN: A Step Dependent Ensemble Approach for Reducing Overestimation in Deep Value-Based Reinforcement Learning InverseScope: Scalable Activation Inversion for Interpreting Large Language Models ELBO-T2IAlign: A Generic ELBO-Based Method for Calibrating Pixel-level Text-Image Alignment in Diffusion Models Position: Use Sparse Autoencoders to Discover Unknowns Structured Prompting and Automated Evaluation in Fixed Synthetic Japanese-Language Counseling Dialogues Interaction Techniques that Encourage Longer Prompts Can Improve Psychological Ownership when Writing with AI Context Tuning for In-Context Optimization Last Layer Hamiltonian Monte Carlo Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor Web-CogReasoner: Towards Multimodal Knowledge-Induced Cognitive Reasoning for Web Agents Parity-Aware Byte-Pair Encoding: Improving Cross-lingual Fairness in Tokenization Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens Algorithmic Shortlisting in Participatory Budgeting VISOR: Visual Input-based Steering for Output Redirection in Vision-Language Models Rational Inverse Reasoning: Few-Shot Imitation by Inferring Intent through Planning Context Misleads LLMs: The Role of Context Filtering in Maintaining Safe Alignment of LLMs DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections EGRA:Toward Enhanced Behavior Graphs and Representation Alignment for Multimodal Recommendation LLM-Assisted Semantic Alignment and Integration in Collaborative Model-Based Systems Engineering Using SysML v2 EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention ChainReaction: Causal Chain-Guided Reasoning for Modular and Explainable Causal-Why Video Question Answering A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration ICR-RL: Deep Reinforcement Learning via In-Context Regression Layout-Conditioned Autoregressive Text-to-Image Generation via Structured Masking Interpretable Nanoporous Materials Design with Symmetry-Aware Networks Agentic Artificial Intelligence for Multistage Physics Experiments at a Large-Scale User Facility Particle Accelerator Polarity Detection of Sustainable Development Goals in News Text Adaptive Margin RLHF via Preference over Preferences OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling MAD-PINN: A Decentralized Physics-Informed Machine Learning Framework for Safe and Optimal Multi-Agent Control VISOR++: Universal Visual Inputs based Steering for Large Vision Language Models Quadratic Programming Approach for Nash Equilibrium Computation in Multiplayer Imperfect-Information Games Panorama: Fast-Track Nearest Neighbors The Three Regimes of Offline-to-Online Reinforcement Learning Verifier-free Test-Time Sampling for Vision-Language-Action Models TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests Conditional Clifford-Steerable CNNs for PDE Modeling SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning Neurosymbolic Characterization for Reliable Access Control Policy Analysis PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference Large Language Models Develop Novel Social Biases Through Adaptive Exploration Resilient by Design -- Active Inference for Distributed Continuum Intelligence SpatialThinker: Reinforcing Scene Graph-Grounded Spatial Reasoning via Dense Rewards When is a System Discoverable from Data? Discovery Requires Chaos Walrus: A Cross-Domain Foundation Model for Continuum Dynamics Score-Regularized Joint Sampling with Importance Weights for Flow Matching KAN vs LSTM Performance in Time Series Forecasting Exploring the Rashomon Set for Concept-Based Models InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem Developing an LLM-Based Feedback System Grounded in Evidence-Centered Design to Support Physics Problem Solving AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference Resource-constrained Project Scheduling with Time-of-Use Energy Tariffs and Machine States: A Logic-based Benders Decomposition Approach Generative Semantic Multi-Object Tracking: A Large-Scale Benchmark and an MLLM-Driven Reasoning Framework ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs Motion Attribution for Video Generation One Prompt, Many Sounds: Modeling Listener Variability in LLM-Based Equalization Predicting Biased Human Decision-Making with Large Language Models in Conversational Settings R$^2$PO: Decoupling Rollout and Inference Policies for LLM Reasoning Tracing 3D Anatomy in 2D Strokes: A Multi-Stage Projection Driven Approach to Cervical Spine Fracture Identification No Reliable Evidence of Self-Reported Sentience in Small Large Language Models The Rise of Large Language Models and the Direction and Impact of US Federal Research Funding BoRP: Bootstrapped Regression Probing for Scalable and Human-Aligned LLM Evaluation MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources A Random Matrix Theory Perspective on the Consistency of Diffusion Models FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion Multi-Way Representation Alignment SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass Implementing Grassroots Logic Programs with Multiagent Transition Systems and AI (Full Version) Endogenous Resistance to Activation Steering in Language Models Deriving Neural Scaling Laws from the statistics of natural language rePIRL: Learn PRM with Inverse RL for LLM Reasoning Learning to Discover Iterative Spectral Algorithms pFedNavi: Structure-Aware Personalized Federated Vision-Language Navigation for Embodied AI NextCrystal: a Symmetry-Driven Generative Framework for Crystal Structure Prediction SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Generalized Category Discovery MARS: Margin and Semantic-Aware Data Augmentation for Reward Modeling Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models Gradient Regularization Mitigates Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards SFL-Net: Source-Factorized Latent Representation Learning for Multi-Contrast MRI to Tau-PET Synthesis Data Driven Optimization of GPU efficiency for Distributed LLM-Adapter Serving Causal Mechanism Reduction: Mechanism Replacement for Neural Network Pruning and Abstraction OSF: On Pre-training and Scaling of Sleep Foundation Models Efficient Flow Matching for Sparse-View CT Reconstruction GIPO: Gaussian Importance Sampling Policy Optimization LAW & ORDER: Adaptive Spatial Weighting for Medical Diffusion and Segmentation When Rubrics Fail: Error Enumeration as Reward in Reference-Free RL Post-Training for Virtual Try-On BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations Multi-Agent Reinforcement Learning for V2X Resource Allocation: Disentangling MARL Challenges Through Benchmarking A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference SpreadsheetArena: Decomposing Preference in LLM Generation of Spreadsheet Workbooks Safe RLHF Beyond Expectation: Stochastic Dominance for Universal Spectral Risk Control Na\"ive PAINE: Lightweight Text-to-Image Generation Improvement with Prompt Evaluation How Transformers Reject Wrong Answers: Rotational Dynamics of Factual Constraint Processing Human-like Object Grouping in Self-supervised Vision Transformers Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models CABTO: Context-Aware Behavior Tree Grounding for Robot Manipulation Towards Reliable Local Security Agents: Verifiable Post-Training for Linux Privilege Escalation A Two-stage Transformer Framework for Temporal Localization of Distracted Driver Behaviors From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips Estimating Individual Tree Height and Species from UAV Imagery MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation SutureFormer: Learning Surgical Trajectories via Goal-conditioned Offline RL in Pixel Space Unsupervised Behavioral Compression: Learning Low-Dimensional Policy Manifolds through State-Occupancy Matching Reachability Across the NL/PL Boundary: A Taxonomy-Driven Dataflow Model for LLM-Integrated Applications Beyond Task Completion: A Verification-vs.-Conformance Gap in Tool-Evolving Agents Streaming Model Cascades for Semantic SQL Council Mode: A Heterogeneous Multi-Agent Consensus Framework for Reducing LLM Hallucination and Bias AViS-Mamba: Adaptive Visual Steering of Audio State-Space Dynamics for Violence Detection Large Language Models Generate Harmful Responses Using a Distinct Mechanism, Shared Across Harm Types DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis SeaAlert: Robust Severity Classification and LLM-Based Information Extraction for Noisy Maritime Distress Communications CoopEval: Benchmarking Cooperation-Sustaining Mechanisms and LLM Agents in Social Dilemmas Don't Make Models Guess Security and Safety: Symbolic Guardrails for Domain-Specific AI Agents Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecasting Governed MCP: Kernel-Level Tool Governance for AI Agents via Logit-Based Safety Primitives Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distribution Shifts Towards Generalizable Deepfake Image Detection with Vision Transformers The Rise of Verbal Tics in Large Language Models: A Systematic Analysis Across Frontier Models StarTSE: Towards Streaming Target Speaker Extraction via Chunk-wise Interleaved Splicing of Autoregressive Language Model CorridorVLA: Explicit Spatial Constraints for Generative Action Heads via Sparse Anchors Query2Diagram: Answering Developer Queries with UML Diagrams Seeing Is No Longer Believing: Frontier Image Generation Models, Synthetic Visual Evidence, and Real-World Risk Kwai Summary Attention Technical Report Incompressible Knowledge Probes: Estimating Black-Box LLM Parameter Counts via Factual Capacity Fitting Horn DL Ontologies to ABox and Query Examples: A Tale of Simulation Quantifiers and Finite Models Shao: Scaling Acoustic Token Language Models Toward High-Fidelity Music Generation ARISE: A Repository-level Graph Representation and Toolset for Agentic Program Repair and Fault Localization Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions IRC-Bench: Recognizing Entities from Contextual Cues in First-Person Reminiscences BioProVLA-Agent: An Affordable, Protocol-Driven, Vision-Enhanced VLA-Enabled Embodied Multi-Agent System with Closed-Loop-Capable Reasoning for Biological Laboratory Manipulation Defense effectiveness across architectural layers: a mechanistic evaluation of persistent memory attacks on stateful LLM agents Evolutionary Ensemble of Agents Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories Active Sensing with Meta-Reinforcement Learning for Emitter Localization from RF Observations CogAdapt: Adapting Clinical ECG Foundation Models for Wearable Cognitive Load Assessment High-Risk AI Systems and the Problem of Identity in the European AI Act Hidden-State Privacy Has an Empty Middle IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference Learning in Low-Dimensional Subspaces: Orthogonal Bottlenecks for Reinforcement Learning MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems Emergent Semantic Representations in World Models through Physical Interaction without Linguistic Supervision Evaluating Skill and Stability of ArchesWeather and ArchesWeatherGen under Multi-Decadal Climate Simulations Dissociative Identity: Language Model Agents Lack Grounding for Reputation Mechanisms De-attribute to Forget for LLM Unlearning Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Parameter Compression of Deep Neural Networks ParetoPilot: Zero-Surrogate Offline Multi-Objective Optimization via Infer-Perturb-Guide Diffusion FP8 is All You Need (Part 1): Debunking Hardware FP64 as the HPC Holy Grail (June 13th version) ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research Quickest Detection of Hallucination Onset: Delay Bounds and Learned CUSUM Statistics A Mathematical Theory of Value: a synthesis on goal-directed agency under resource constraints Iterative Visual Thinking and the Self-Correction Mirage in VLM Grounding Lect\=uraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching Lost at the End: Primacy Bias in Multimodal Retrieval-Augmented Question Answering Attention is Just Another Name for Coupling? A Fast-Slow ODE Perspective on Hierarchical Pretraining A Unified Causal-Origin Taxonomy of Distributional Shifts in Reinforcement Learning TransitNet: A Compact Attention-Augmented Deep Learning Framework for Low-SNR Transit Blind Searches OrthoReg: Orthogonal Regularization for Hybrid Symbolic-Neural Dynamical Systems Hard or Just Unreached? Diagnosing the Sampling Blind Spot in Math-Reasoning Difficulty Estimation Triangular Consistency as a Universal Constraint for Learning Optical Flow ELVA: Exploring Ranking-Driven Universal Multimodal Retrieval NRT-Bench: Benchmarking Multi-Turn Red-Teaming of LLM Operator Agents in Safety-Critical Control Rooms A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring in Open-Traffic Conditions The Power of Light: Improving Synthetic-to-Real Domain Adaptation through Physically-Based Indirect Illumination VideoAgent: All-in-One Framework for Video Understanding and Editing DramaDirector: Geometry-Guided Short Drama Generation UC-Search: Risk-Aware Test-Time Search for Delayed Constrained Time-Series Control Reclaim Evaluation: A Lossy Memory Is Worse Than an Empty One Hybrid privacy-aware semantic search: SVD-truncated document geometry and CKKS-encrypted query reranking under a restricted threat model Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting Heavy-Ball Q-Learning with Residual Weighting Correction The Unverifiability of Artificial General Intelligence (AGI) Alignment, Static and Dynamic: From Trakhtenbrot's Wall to the Safety-Generality Tension Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation A Deep Multiscale Neural Network for Accurate Neurological Disorder Detection from MRI Scans and Real-Time Web Deployment Automating the Design of Embodied Agent Architectures Curvature-Guided Sheaf Diffusion for Unsupervised Community Detection on Heterophilic Graphs A Stochastic--Geometric Theory of Scaling Laws in Grokking TRACE: Temporal Relationship-Aware Conversational Entrainment Detection in Dyadic Speech Modeling Cell-Cycle-Aware Single-Cell Drug Perturbation Responses From Materials Database to Materials Bank: Assetizing Data for AI Driven Materials Innovation CVE-TTP KG: Knowledge Graph Linking Software Vulnerabilities to Attack Behaviors WorldRoamBench: An Open-World Benchmark for Long-Horizon Stability of Interactive World Models GR2 Technical Report TRIAGE: Role-Typed Credit Assignment for Agentic Reinforcement Learning Spectral Geometry and Bosonic-Bloch Probes: Explorations in Quantum Learning Hate Speech Detection in Turkish and Arabic: A Comprehensive Study Real-Time Hard Negative Sampling via LLM-based Clustering for Large-Scale Two-Tower Retrieval Phantom References: Hallucinated Citations That Survive Peer Review at Top-Tier Conferences Pano2World: End-to-End 3D Generation via Unified Multi-View Sequences From World Models to World Action Models: A Concise Tutorial for Robotics Post-Training Pruning for Diffusion Transformers Learning Cardiac Motion Priors for Implicit Neural Representations Cheap Code, Costly Judgment: A Case Study on Governable Agentic Software Engineering Diffusion-GR2: Diffusion Generative Reasoning Re-ranker KARA: Efficient Reasoning LLM Serving via Sliding-Window KV Cache Compression TurnNat: Automatic Evaluation of Turn-Taking Naturalness in Dyadic Spoken Dialogue Spin-Weighted Spherical Harmonics Enable Complete and Scalable $\mathrm{E}(3)$-Equivariant Networks MultAttnAttrib: Training-Free Multimodal Attribution in Long Document Question Answering DiPS: Dialogue Policy Selection for High-Stakes Persuasion Agents Predicting Closed-Loop Performance of Latent World Models: Offline Checkpoint Selection for MPC and Model-Based RL Under Non-Markovian Rewards in LunarLander AI Virtue: What is "Good" Knowledge in the Age of Artificial Intelligence? kNNGuard: Turning LLM Hidden Activations into a Training-Free Configurable Guardrail Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning GAP-GDRNet: Geometry-Aware Monocular Visual Pose Sensing on a Single-Target Synthetic Spacecraft Dataset Understanding Agent-Based Patching of Compiler Missed Optimizations DemoPSD: Disagreement-Modulated Policy Self-DistillationGithub Trending (Python)
bradautomates/claude-video kyutai-labs/pocket-tts hesreallyhim/awesome-claude-code mvanhorn/last30days-skill langbot-app/LangBot XiaoYouChR/Ghost-Downloader-3 anthropics/claude-plugins-official p1ngul1n0/blackbird maziyarpanahi/openmed cheahjs/free-llm-api-resources NousResearch/hermes-agent ComposioHQ/awesome-claude-skills datawhalechina/all-in-rag HKUDS/AI-Trader tinygrad/tinygrad anthropics/skills alirezarezvani/claude-skillsGithub Trending (C)
dorianborian/sesame-robot raysan5/raylib openwall/john OpenVPN/openvpn madler/zlib facebook/zstd ps2homebrew/Open-PS2-Loader sandboxie-plus/Sandboxie mgba-emu/mgba libsdl-org/SDL lvgl/lvgl asmvik/yabai ExpressLRS/ExpressLRS reactos/reactos libretro/RetroArch merbanan/rtl_433 espressif/esp-idf SchedMD/slurm ExistentialAudio/BlackHole openwrt/openwrt flipperdevices/flipperzero-firmware xmrig/xmrig zephyrproject-rtos/zephyrNature
Publisher Correction: A 98-qubit trapped-ion quantum computer with all-to-all connectivity Listen to Gen Z when it comes to AI in education Say hello to hard helium AI can cause harm: safeguards must catch up How long can humans live? All evidence points to a maximum of 125 years ‘Humanizer’ tool can erase signs of AI-written text — alarming scientists How to widen access to the critical minerals that the world needs Body-plan organizer in comb jellies hints at animal ancestry Save Hubble: the race to preserve the space telescope kicks off Keep the Hubble and James Webb Space Telescopes alive — the science is worth the price tag How to avoid dementia — what the science really says From cloning to gene-editing: the enduring legacy of Dolly the sheep Universities are relying on AI-detection software to catch cheating. How well do the programs work? Deep-sea oddities and boatloads of other new species — June’s best science images The rise of computer chips — and the race to control them Time to give hydration breaks the red card? What science says about keeping cool Daily briefing: How cooperation built the world China boosts prestigious grants for young scientists — will it ease competition? Electrodeposited self-assembled molecules for perovskite photovoltaics Author Correction: Synthesis of enantioenriched atropisomers by biocatalytic deracemization Neutrino’s nursery found: the ‘Shadow Blaster’ Daily briefing: ‘Cyborg’ cockroaches breathe underwater with printed suit Can you actually do a nine-to-five PhD? Nature readers weigh in Incoming US science academy chief vows to ‘double down’ on research Togetherness: How cooperation built the world Backreaction of stimulated Hawking radiation in an optical analogue Harmonizing standards and resources for the medical genome Towards the construction of a virtual yeast Isomeric multi-hydrogen-bonding enables blue perovskite LEDs A secreted endosymbiont protein essential for colonizing host cells Replication-stress-induced chromatin loops protect fork stability Identification of cross-stage, cross-species malaria CD8+ T cell antigens Targeted enzyme discovery using metal-coordination mining Directly probing the carrier transfer length in 2D-material transistors Restoring cortical disinhibition improves Huntington’s disease phenotypes Tin perovskite transistors stabilized through volatile coordination Hadean bridgmanite in the source of a present-day ocean island Steatosis shapes prognosis-defining liver metastasis heterogeneity in CRC Connecting single-cell transcriptomes to projectomes in the mouse visual cortex Dual tumour–myeloid targeting of glioblastoma with GPNMB CAR-T cells Heat-triggered phospholipid flipping stabilizes plasma membrane fluidity TROP2 targeting reveals therapy-driven cell state dynamics in colorectal cancer Aerosols and hydrocarbons in the atmosphere of a white dwarf planet Moderate volcanic eruptions and extreme wildfires humidify the stratosphere N4-Acetylcytidine enhances synthetic mRNA translation yield and fidelity Food web complexity underlies biodiversity effects on ecosystem functioning Competing programs shape cortical sensorimotor–association axis development Correcting congenital myasthenia-associated acetylcholine receptor defects Dendrite initiation and deflection in biaxially stressed solid electrolytes Urokodia sheds light on the origin of chelicerae and book gills of Chelicerata Casdatifan shows durable response linked to HIF-2α biology in kidney cancer Scientists should recognize their own political biases to build public trust Daily briefing: What’s really happening with trust in science How FAIR data are helping to build trust in science Seeking universal malaria-vaccine targets Listening in on the human brain cells that produce speech Cancer Research UK bets on Manchester with £6-million funding boost Why paying peer reviewers works, according to a journal’s editor-in-chief Liver fat steers the outcome of advanced colorectal cancer Mysterious protein sets up a beneficial partnership between bacteria and insects RS-232 and other forms of grief Plant membranes shuffle lipids around to stay firm under heat stress Paper mill cancer studies get double the number of citations as genuine papers The complex truth about trust in science Six ways to put the public at the heart of science and policy As transistors get smaller, electrodes must keep shrinking too Have people stopped trusting science? The data tell a surprising story Nanodiamonds made from tiny graphene triangles Vaccination elicits HIV broadly neutralizing antibodies in primates Retraction Note: NSD2 targeting reverses plasticity and drug resistance in prostate cancer Enhanced B cell priming induces broadly neutralizing HIV-1 apex antibodies Child online safety needs more than social-media bans Ebola preparedness must start with ecosystems and before humans show symptoms Early television set impresses Nature editors — but will it catch on? AI tools can speed up thinking, but evidence still comes from the lab benchCNN
Some on-air claims about Dominion Voting Systems were false, Fox News acknowledges in statement after deal is announced Dominion still has pending lawsuits against election deniers such as Rudy Giuliani and Sidney Powell Here are the 20 specific Fox broadcasts and tweets Dominion says were defamatory Judge in Fox News-Dominion defamation trial: 'The parties have resolved their case' 'Difficult to say with a straight face': Tapper reacts to Fox News' statement on settlement Millions in the US could face massive consequences unless McCarthy can navigate out of a debt trap he set for Biden White homeowner accused of shooting a Black teen who rang his doorbell turns himself in to face criminal charges Newly released video shows scene of Jeremy Renner's snowplow accident Jake Gyllenhaal and Jamie Lee Curtis spent the Covid-19 lockdown together Toddler crawls through White House fence, prompts Secret Service response Jamie Foxx remains hospitalized nearly a week after 'medical complication' A 13-year-old dies after participating in a Benadryl TikTok 'challenge' See pizza delivery guy take out suspect fleeing police Netflix is winding down its DVD business after 25 years FTC chair Lina Khan warns AI could 'turbocharge' fraud and scams Eating too much of these foods is driving the rise in type 2 diabetes, study says ADHD medication abuse in schools is a 'wake-up call' Apple CEO was presented with an original Macintosh. See his reaction Democrats bash Justice Clarence Thomas but their plan to investigate ethics allegations is unclear Russia is 'going backwards' in equipment and deploying post WWII-era tanks, according to Western officials Two Russians claiming to be former Wagner commanders admit killing children and civilians in Ukraine 'My stomach is hurting from laughing': Hear panelist's reaction to DeSantis' threat to Disney GOP prepared to block vote to replace Feinstein on Senate Judiciary Oklahoma governor calls on officials to resign over recording of racist and threatening remarks McCarthy slams Biden in handling of US debt US warns Russia not to touch American nuclear technology at Ukrainian nuclear plant Repeated gunshots fired on live TV as ex-lawmaker shot by assassins FDA clears the way for additional bivalent boosters for certain vulnerable individuals Maine authorities detained a person of interest after 4 people were found dead in a home and 3 others shot while driving Southwest says flights resumed after delays caused by 'tech issues' Damar Hamlin cleared to resume football activities after January cardiac arrest Pilot makes history after landing on top of a 56-story hotel Top US Navy admiral defends non-binary sailor amid some Republican criticism Fulton County DA says fake Trump electors are incriminating one another and wants lawyer disqualified High speed trains are racing across the world. But not in America Podcast: One country musician is calling for other artists to oppose assault rifles Here's what you need to know if you haven't filed your return yet — and even if you have Undocumented immigrants are paying their taxes today, too Opinion: Why millionaires like us want to pay more in taxes 'World's longest' purpose-built cycling tunnel opens in Norway Artist rejects photo prize after AI-generated image wins award These ships disappeared in Lake Superior a century ago. Watch as they're found again Erotic images of seniors show sex and intimacy in new light China's economy is off to a solid start, rising 4.5% in Q1 2023 Even when wives make as much as husbands, they still do more at home McDonald's is upgrading its burgers Google-parent stock drops on fears it could lose search market share to AI-powered rivals Bidets save you money and reduce waste — we tested the best options out there 50+ products to make your life easier and our planet cleaner Mother's Day is around the corner. Here are 50+ thoughtful gifts she'll love A head-to-toe guide of how men should dress this spring, and where they should shop 42 of the most useful travel products you can buy on Amazon The 7 best high-yield savings accounts of April 2023 Taxes are due tomorrow. Here's how to file for an extension Composting is an easy way to reduce food waste. Here's how to do it We stopped using aluminum foil for cooking and you should too. Here's what to use instead The beloved Dyson Supersonic hair dryer is at its lowest price ever Everything you need to know about Way Day 2023, Wayfair's biggest sale of the year The 10 best Amazon deals to shop this week Mifepristone saved my life The 2024 presidential alternative many voters will want Why isn't the House Judiciary Committee looking into Thomas? Top secrets come spilling out How did Sudan go from casting off despotic rule to this? Michelle Yeoh set to return in new 'Star Trek' movie Recap: 'Succession' finds dark humor in the aftershocks 'Yellowjackets' leans hard into '90s music nostalgia, and we're here for it Jeremy Renner revisits 'the amazing group of people' who helped him recover from his accident Review: 'Barry' takes a whack at its farewell seasonNPR News
Reigning champion Argentina escapes with remarkable World Cup victory over Egypt International Olympic Committee lifts Russia suspension ahead of 2028 LA Games New lawsuit alleges U.S. shared asylum application details with Iran There's no treatment designed for the Ebola strain ravaging DRC. But now there's hope Woman accuses Graham Platner of sexual assault. And, NATO summit begins Graham Platner faces calls to leave Maine Senate race after sexual assault allegation Democratic strategist says transparency is Platner's 'only path forward' Meet 'Project 2029' — and its war on the annoyance economy Trump's NATO pressure campaign continues as summit begins As climate change damages streets and highways, the road ahead may be expensiveThe Atlantic
Perhaps the Nazi Tattoo Was a Clue The Supreme Court Ruling That Further Politicizes Everyday Life No Worries! Trump Will Make a Call and Fix It The Corner of Hollywood That’s Most Susceptible to AI Nigel Farage’s ‘I Have a Crooked Dream’ Speech China’s Answer to AI Sticker Shock Lab-Leak Payback Has Begun Of Course It Happened at Madison Square Garden China Is Abusing AI The Wonder of Everyday Life I Heard You Singing The Genes That Could Cancel Out a Fatal Diagnosis The Wisdom of Holden Caulfield The Foreign-Policy Debate Democrats Need to Have The Demon Next Door The Other Celebration of America A Huge Escalation in Trump’s Smithsonian Meddling With Graham Platner, Democrats Got Drunk on the Beer Test FIFA Is a Cautionary Tale for Trump A Very Bad Call A Sad Kind of Convenience The Military Pete Hegseth Wants The Death of Renee Good Has Yet to Be Properly Investigated What Game of Thrones Never Got Around to Showing The Problem America Refuses to AddressVox
Democratic socialists have big plans for 2028 How soccer players train for chaos The lanternflies are here. Is it okay to stomp them? How to actually get to know your neighbors How Trump’s son-in-law sparked a revolt in Albania Is Trump’s World Cup meddling a true scandal, or standard FIFA corruption? Iran’s new supreme leader is a no-show at his father’s funeral. Where is he? Your Ring camera isn’t stopping crime. But it might be making you paranoid. The people next door Why “neighborism” is having a momentAl Jazeera
US immigration officer shoots and kills man in Texas Argentina fans hurl beer at Egypt supporters after final whistle US strikes Iran despite promised pause for Khamenei funeral Unstable Manhattan skyscraper triggers collapse fears How the US-Iran conflict is reshaping Africa’s geopolitical opportunities Marine Le Pen to run for French Presidency despite criminal conviction Djokovic wins five-hour epic to earn Sinner showdown at Wimbledon Iran war live: US bombs Sirik, Qeshm, Bandar Abbas over Hormuz attacks Switzerland face Argentina in World Cup quarterfinal after beating Colombia Russian missiles strike Ukraine’s capital, Kyiv, for third time in a week Egypt buoyed by praise for World Cup heroics despite controversial exit Egypt were ‘cheated’ in World Cup loss to Argentina, coach Hassan says US launches strikes on southern Iran, Tehran vows ‘crushing response’ Nasdaq vs Dow: How are the key indices different as SpaceX joins one? Venezuela buries earthquake victims as death toll reaches 3,535 Pro-Palestine MEP Rima Hassan arrives at trial for ‘glorifying terrorism’ Prolonged hospitalisation of US Republican Mitch McConnell raises questions Canadian province sues OpenAI over alleged ChatGPT-linked shooting warnings Trump lashes out at NATO as first day of summit wraps in Turkiye Deadly landslide buries tunnel construction site in India What was the VAR controversy in the second half of Argentina vs Egypt? Trump criticises NATO allies over Iran conflict support ‘They brought me here to kill me’ says Gaza doctor in Israeli prison France’s Marine Le Pen must wear ankle tag after appeal ruling Argentina stage stunning late comeback to beat Egypt in World Cup last 16Ars Technica
Michigan sees explosive outbreak of diarrheal parasite with over 700 cases Data centers’ energy demand threatens Trump’s “Made in America” plan Surprisingly large number of people may have marker for tick-linked meat allergy SCOTUS lets Texas enforce app store law that Big Tech calls "censorship regime" Bethesda, id Software reportedly hit hard by Microsoft layoffs Google's Pixel 11 launch event is set for August 12, with possible price increases The Weather Channel increases streaming subscription prices by up to $20 The Nintendo Switch's days are numbered—but what is that number? This race car is made from plant fibers, volcanoes, ... and seawater? Facing US export controls, China's DeepSeek plans to make its own chips Dragonflies maneuver like fighter pilots New virus catalog reveals which pathogens pose the greatest threat ULA's last six Atlas Vs can't launch anything besides Boeing's Starliner How AI could enable autonomous robot workers in workplaces—and maybe homes FCC to end Biden-era rule that forces ISPs to list all their fees Kremlin suspected of flying drones over Europe using Russian shadow fleet What is the oldest American object ever launched into space? NRC is (sort of) getting rid of "as low as reasonably achievable" standard Katalyst's satellite rescue mission is now in pursuit of NASA's Swift Secret Claude tracker shocks users after Anthropic’s anti-surveillance stanceSlashdot
Doom Developer id Software Is Reportedly Losing Half Its Staff Microsoft Flips Windows Backup On By Default Outside the EU Samsung Passes Nvidia To Become Most Profitable Company In the World FCC To End Biden-Era Rule That Forces ISPs To List All Their Fees China's DeepSeek Developing Its Own AI Chip Major Banks In Talks To Exploit Debit Card Loophole Microsoft Can Track Users Via a Windows Device ID Amazon Will Stop Accepting New Customers For Mechanical Turk Learning Another Language Appears To Slow Brain Aging By Up To 13 Years US Cyber Agency Is Using Anthropic's Mythos To Audit Government Code GitHub Thumbs Nose At Sony's Controversial End to Physical Media With Its Introduction of Repo CDs Research Universities Are Admitting Fewer PhDs, a Bad Sign For Science Small AI Models Gain Traction Around the World Supreme Court Allows Texas To Require Age Verification For Mobile Apps South Korea's SK Hynix Launching $28 Billion US Listing To Ride Global AI WaveSmithsonian Magazine
Strange Spheres Washed Ashore on an Australian Beach. Authorities Say They're Probably 'Space Balls'—Empty Fuel Vessels From a Rocket Tall Trees Were Thought to Be More Vulnerable to Drought. But These Towering Plants in Southeast Asia Have Adapted to Move Water Efficiently A Pair of 2,000-Year-Old Gold Rings, One Engraved With Indian Script, Was Discovered in an Iron Age Burial Ground in Thailand This Giant Planet May Have Survived the Death of Its Star. The James Webb Space Telescope Just Found Its Atmosphere Can You Guess the Origins of Papyrus Fragments or Painted Ceramics? A College Student Turned the Met's Open-Access Database Into an Online Game This Spanish Officer Besieged the British During the American Revolution, Giving George Washington Time to Plan a Pivotal Attack Cyborg Cockroaches Could Help Find Survivors of Natural Disasters. New Diving Suits Allow the Insects to Expand Their Search Underwater These 11 Wildlife Images From the Ocean Conservancy’s Photography Contest Showcase the Wonder of Earth’s Waters See the Space Shuttle 'Endeavour' in a Unique Vertical Display Before Its New Exhibition Launches at the California Science Center Early Flowering Plants May Have Relied on Dinosaurs to Eat Their Fleshy Fruits and Spread Their SeedsInfoQ
Switching from PostgreSQL to ClickHouse for Improved Performance and Scalability AWS Expands DevOps Agent with AI-Powered Release Management to Validate Code before Production Presentation: Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery How HubSpot Scaled Semantic Search to 20 Billion Vectors Node.js 26: Temporal API Enabled by Default, V8 14.6, and a Round of Deprecations Java News Roundup: Strict Field Initialization, GlassFish, GraalVM, JReleaser, RefactorFirst Netflix Cuts Cassandra Read Latency from Seconds to Milliseconds with Dynamic Partition Splitting InfoQ Opens AI Security & Privacy Engineering Cohort for Regulated Industries Podcast: Spite-Driven Engineering: A New Blueprint for Cloud Security in the AI Native Era Presentation: Practical Robustness: Going Beyond Memory Safety in Rust AI Model Context Protocol Adds Centralised Auth for Enterprise Cloudflare and AWS Embed x402 Agent Payments at the Edge AWS Introduces Amazon S3 Annotations Claude Reaches GA on Microsoft Foundry: European Enterprises Cannot Deploy It Cycle Introduces EU Control Plane as Sovereignty Debate ContinuesDynomight
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 persuasion Futarchy’s fundamental flaw — the market — the blog post Heritability puzzlers New colors without shooting lasers into your eyes My 9-week unprocessed food self-experiment Links for July Do blue-blocking glasses improve sleep?Marginal Revolution
Why we stopped making land Tuesday assorted links From Prediction Markets to Decision Markets and Beyond! What should I ask Liaquat Ahamed? Wiesbaden notes Ilya Somin defends the American Revolution Monday assorted links Capital Gains Can Be Labor Income The Troubled History of Government Equity in Technology The history of heat deaths in Europe (from my email) *What Makes a Great Composer?: A Data-Driven Exploration of Music History* Sunday assorted links What should I ask Michael Moritz? Tyler, Nabeel, and Jackson on French thinkers Why we love this countryNot Boring
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) Expanding the Radius of Daily Life Weekly Dose of Optimism #196 America Spins on Westmag Weekly Dose of Optimism #195 Thank God For Data Centers Weekly Dose of Optimism #194 Cowboy Space Corporation Weekly Dose of Optimism #193 Riding the Leopard Weekly Dose of Optimism #192 Weekly Dose of Optimism #191 Scarce Assets Weekly Dose of Optimism #190 The Great Blue FrontierCoding Horror
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 Web The Cloud Is Just Someone Else’s ComputerNASA Breaking News
NASA Transfers ‘Hundred Acre Wood’ to Patuxent Research Refuge NASA’s New Horizons Spacecraft Wakes from Hibernation in Good Health Artemis II Crew and Apollo 14 Moon Tree July 2026 Satellite Puzzler The World Cup From 250 Miles Up NASA Takes Flight For America’s 250th NASA Seeks Industry Input on Second Phase of Commercial Space Stations NASA’s CAPSTONE Completes Extended Mission Testing Lunar Technologies NASA Webb Uncovers Unusual Galaxy Shaped by Cosmic Collision Examining Algal Blooms in Blue MesaQuanta Magazine
Researchers Reveal the Power of ‘Quantum Proofs’ Astrophysicists Puzzle Over Webb’s New Universe For the First Time, a Cell Built From Scratch Grows and Divides What Breaks a Cell’s Ribs Can Make It Stronger After 80 Years, Mathematicians Give Famed ‘Erdős Method’ an UpgradeScience Daily
Incredible new material makes heat programmable Bumblebees collect up to 7 times more toxic metals than honeybees NASA's Hubble spots a stellar sparkler for the Fourth of July NASA's Hubble captures a crimson stellar nursery sparkling with blue and white stars NASA's Hubble captures a star-spangled sea of 500,000 stars NASA celebrates America's 250th birthday with incredible views of space New research reveals the hidden pollution left behind by fireworks AI just supercharged the race to find room temperature superconductors Schrödinger’s anthill: Quantum entanglement found in a crystal large enough to hold New calculator reveals whether you should really worry about statin side effects Scientists discover a completely different way to fight viruses Scientists may have finally found how Alzheimer's spreads through the brain Scientists say creatine may help fight depression Millions may be getting the wrong cholesterol test Scientists discover why some brains resist Alzheimer's Streetlights are trapping thousands of pill bugs in giant “death spirals” A strange LIGO signal could reveal the missing link behind dark matter Scientists reveal what really happens when water is trapped in tiny spaces Great ape laughter reveals a hidden origin of human speech These tiny soil microbes could rescue crops from salty farmland Scientists may have finally found how Alzheimer's kills brain cells Astronomers found two rare super puff planets lighter than cotton candy Astronomers witness the birth of a magnetar for the first time A popular climate fix could accidentally trigger massive changes to global weather The Neanderthal “love story” isn’t what the DNA actually shows Drinking to cope with stress may permanently rewire your brain Scientists create quantum sound device that could transform communications Scientists discover the deep sleep circuit that builds muscle, burns fat, and boosts the brain Tiny magnetic waves could unlock quantum computers the size of a penny A hidden weakness in deadly cancers could lead to powerful new treatments Scientists discover a surprising link between vitamin C and brain health Einstein Probe may have caught a black hole tearing apart a white dwarf for the first time Record-breaking ocean drilling reveals why Japan's 2011 tsunami was so deadly Takeaway meals contain more salt than advertised, study finds Ancient bees turned tooth sockets into tiny nurseries 20,000 years ago Climate scientist who “proved” humanity is warming Earth says government report got it wrong The secret to healthy aging may be hidden in your blood 390 gravitational wave detections reveal hidden population of black holes They knew the pill was fake but their memory still improved New optical centrifuge unlocks the secrets of frictionless superfluids Scientists solve a 30-year rye pollen mystery that could transform cancer research This spray-on powder can stop life-threatening bleeding in 1 second Melanoma's secret to cheating death has finally been revealed Hawaii is turning ocean plastic and fishing nets into roads How asteroids may have sparked life on Earth Modern neuroscience is rediscovering an idea Freud had 130 years ago After 70 years of excavation, ancient Sardis becomes a UNESCO World Heritage site Earth may have been seeding Venus with life for billions of years Scientists make quantum time flow backward in stunning physics breakthrough Scientists stunned as bumble bees solve a classic intelligence test 5,000-year-old wolves found on remote island rewrite what we know about domestication Scientists discover a protein switch that burns fat and blocks new fat cells Scientists discover what triggers belly fat as we age Quantum mechanics once baffled scientists. Now it's changing the world Brain activity under anesthesia challenges what we know about consciousness Osteopenia is silently weakening bones in millions of people Scientists may have finally solved the black hole information paradox NASA’s Lucy finds a wobbling peanut-shaped asteroid with signs of ancient water Scientists discover ancient brain cells that help block distractions Engineers solved an airflow mystery hidden nearly a mile undergroundSpaceflight Now
Fire detectors, military tech demos, 3D printers among SpaceX rideshare payloads launching on midnight Falcon 9 flight Semiconductor manufacturing test bed flies alongside Starlink satellites on Falcon 9 launch ULA launches final Atlas 5 rocket supporting Amazon Leo’s broadband internet satellite constellation SpaceX launches 24 Starlink satellites on Falcon 9 rocket from Vandenberg SFB Astronauts ‘operate’ on space station’s broken robot arm Blue Origin outlines return to flight logistics for its New Glenn rockets SpaceX launches 7.5-ton SiriusXM satellite as part of constellation refresh SpaceX launches Starlink satellites from Vandenberg Space Force Base Next-gen astronaut Moon rovers aim for deployment ahead of Artemis 4 crew arrival West Coast Falcon 9 launch continues expansion of SpaceX’s Starlink networkSpace Daily
More than 8,000 people applied to become NASA astronauts in 2024, and just 10 were chosen — not simply the strongest or the fastest, but people who could master robotics, medicine, foreign languages, survival training, high-performance jets and the one skill space demands most: staying calm when nothing goes to plan. Asteroid 16 Psyche, a metal-rich world roughly 225 kilometres wide orbiting between Mars and Jupiter, may contain extraordinary amounts of iron and nickel — enough that back-of-the-envelope estimates have put its theoretical metal value at around $10,000 quadrillion, a number so vast it dwarfs the entire global economy. In April 2026, four Artemis II astronauts flew 406,771 kilometres from Earth — farther than any humans in history — breaking the Apollo 13 record from 1970 not by landing on the Moon, but by looping around its far side on a free-return path while the Moon’s elliptical orbit carried them just a little farther from home. In 1961, when Soviet cosmonaut Yuri Gagarin became the first human to orbit the Earth, he reported that on the descent he saw flames outside the porthole and briefly believed his capsule was burning up The reason your mind wanders has nothing to do with discipline or willpower, and a study of 68 experiments found that the longer any task goes on, people increasingly think about something else regardless of how hard they try NASA’s Nancy Grace Roman Space Telescope, due to launch in August 2026, is expected to discover around 100,000 exoplanets in a single mission — more than every telescope in the history of astronomy combined Olive oil, soybeans, yogurt, lentils, and kimchi were named the five healthiest foods in the world by Health Magazine in 2006 — a distinction that put a spicy Korean fermented cabbage on the same shelf as the pillars of Mediterranean cuisine The United Arab Emirates was once a small federation of fishermen, pearl divers, and camel herders on the Arabian Peninsula with no formal government and no paved roads — and 60 years later, it hosts the tallest building on earth, one of the world’s largest airlines, and a per-capita GDP higher than Japan Norway, a country of 5.5 million people that discovered oil off its coast in 1969, has built the world’s largest sovereign wealth fund — worth more than $2 trillion in 2026 and holding stakes in roughly 1.5 percent of all publicly listed shares on the planet — meaning every Norwegian citizen effectively owns nearly $400,000 of the fund on paper In 2021, Japan appointed a Minister for Loneliness — a Cabinet-level position officially responsible for developing national policy on social isolation — after years of speculation that isolation had become one of the country’s most serious public-health issuesSpace News
Skyroot prepares for first orbital launch attempt D-Orbit signs launch-services contract with ArkEdge Space Orbit Fab hires new CEO and raises funding to support satellite refueling business Spirit Electronics Announces Managed Access to U.S.-Based Advanced Semiconductor Manufacturing for Aerospace and Defense Programs Apolink makes contact with first relay satellite Arianespace opens door to GEO rideshare opportunities from 2029 SpaceX launches Transporter-17 amid concerns about rideshare program’s future Simera Sense to provide imagers for Canary Islands constellation SpaceX satellite wins test Pentagon’s commitment to competition Isar Aerospace signs agreement for Canadian launch site Blue Origin continues work on lunar landers during recovery from New Glenn explosion Iridium folds Aireon aviation safety service into Rocket Lab-bound business NASA adds three European firms to the commercial data program The term ‘dual-use’ is misleading and dangerous BAE microchip designed for strategic defense missions passes radiation test Connected Aircraft Fleet Set to Exceed 70,000 by 2035 Centre for Space Futures, Novaspace and SpaceTech Gulf Sign Agreement to Develop Global Space Capability Mapping Dashboard Tianwen-2 arrives at asteroid Kamo’oalewa, first image revealed NASA and Small Business Administration partner on funding key space technologies Airbus to build Aeolus-2 wind-monitoring satellite GAO flags satellite costs, launch risks in Space Force portfolio Pegasus launches Swift reboost mission Chinese satellite manufacturer Hongqing raises $191 million Perovskite solar panel startup Verde Technologies shifts focus to spaceMartin Fowler
Viability of local models for coding Fragments: July 6 Building Reliable Agentic AI Systems Fragments: June 16 Fragments: June 2 Fragments: May 27 The test suite as a regression sensor The VibeSec Reckoning Bliki: Vibe Coding Three more static code analysis sensors Maintainability sensors for coding agents Fragments: May 14 Bliki: Interrogatory LLM What is Code Fragments: May 5 Bliki: Mythical Man Month Fragments: April 29 Structured-Prompt-Driven Development (SPDD) Fragments: April 21 Fragments: April 14 Alan Turing play in Cambridge MA Fragments: April 9 Feedback Flywheel Principles of Mechanical Sympathy Harness engineering for coding agent users Encoding Team Standards Bliki: Architecture Decision Record Context Anchoring Ideological Resistance to Patents, Followed by Reluctant Pragmatism Humans and Agents in Software Engineering LoopsEmbedded Artistry
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”? Q&A: How Many Iterations Do You Recommend for Scaling From a Prototype to Mass Production? Q&A: To What Degree Should We Understand Other Disciplines? Meson Pattern: Monorepo that Supports Individual Subproject Builds From Concept to Launch: What It Takes to Build and Ship a New DeviceAttack Magazine
Kyle Watson: “A Track Is Never Finished – You Just Have To Know When To Stop” AlphaTheta Release CDJ-1500X With Cloud DJing, Crowd Requests In A Compact Player Format Amsterdam Dance Event Has Announced The First Wave Of Artists For ADE 2026 Yamaha Creator Pass Adds Cubase, Ableton, And New $9.99 Starter Plan Tom Cosm – “It’s Going To Make Your Music More Melodic” D16 Group Releases PunchBox 2 One Sample, Infinite Movement: Building a Techno Instrument in Absynth 6 Elevate Artists Releases New Analysis of Global Electronic Music Trends UVI Rumble Review: A New Take on Bass Synthesis Inventing Your Own Patch From Scratch With Zebra 3DJ TechTools
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? The DJM-V5 from AlphaTheta: 3 channels, 4-band EQ, V10 sound – no Beat FX or crossfader. Traktor MX2: Native Instruments’ New 2-Channel Controller