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Trump approves firing-squad execution of Fort Hood shooter, Pentagon says - theguardian.com Supreme Court grapples with case on holding Big Oil liable for climate change - The Washington Post Trump says 'threat' led US to pull bombers from RAF Fairford - BBC Facing Backlash, Trump Says His Super PAC Will Pay for Taxpayer-Funded Ads - nytimes.com A crowd of students protests Cornell’s response to gang rape complaint - AP News Chicago woman shot 5 times by CBP officer files federal lawsuit - NBC News Jim Bakker, Television Preacher Felled by Sex and Financial Scandals, Dies at 86 - nytimes.com Irvine woman accused of spying for China arrested by FBI agents at LAX - ABC7 Los Angeles John Thune says ‘no clear path forward’ for clock-change bill - Politico Ex-pastor, 'American Idol' contestant Caleb Flynn sentenced to life in prison - WLWT Spain's gambler PM Sanchez seeks to defy the odds again on a snap election - Reuters What is pneumonic plague, and how will we know if it’s spreading in Russia? - The Washington Post Jeffrey Archer, Novelist Whose Real Life Rivaled His Thrillers, Dies at 86 - nytimes.com Teenager loses hand in blast amid French school protest clashes - aljazeera.com Oil gains as traders weigh Gulf tensions against strong Mideast exports - Reuters In NYC, Mamdani cedes AI regulation lane - Politico Nvidia Stock Hits Record as Key Supplier’s Revenue Booms on AI Demand - Barron's SpaceX stock climbs to highest since June, returning Musk to trillionaire status - CNBC Amazon Launches Prime Day Discounts on AirPods, iPad, MacBook Air, and More - MacRumors Gemini Call for Me might tell your mom you’re running late - The Verge At 19, founder raises $11M for Ghost, maker of a $3,499 computer for personal AI - TechCrunch Apple event is reportedly happening next week, per Mark Gurman - 9to5Mac ‘Digger’ Down: 5 Takeaways After Tom Cruise Suffers One of His Biggest Box Office Bombs - Variety ‘The Batman Part II’ Production Paused as Filmmaker Matt Reeves Steps Away for “Family Matter” - The Hollywood Reporter Robert Kelker-Kelly Dies: ‘Days Of Our Lives’, ‘Another World’ Actor Was 62 - Deadline DHS fires back at Paramore's Hayley Williams after ‘f--- ICE' concert outburst - Fox News Bijan Robinson puts a damper on Saints’ celebration with 59-yard TD run - nbcsports.com White Sox 4, Guardians 3: Heading home up 2-0 - Sox Machine NFL Suspends Officials Jeff Seeman, Adrian Hill After Viral Videos with Trey McBride, Eric Wilson - Bleacher Report Yankees vs Rays Prediction, Odds, Expert Picks for ALDS Game 2 - Action Network Tiny ancient black holes may live in a five-dimensional world - Phys.org Discovery of a second-generation planet candidate accreting onto a white dwarf - Nature SpaceX's Crew-13 astronaut launch in infrared | Space photo of the day for Oct. 5, 2026 - Space SpaceX To Reattempt SDA Mission, Rally Continues Amid Busy Launch Schedule - Investor's Business Daily Pennsylvania faces largest measles outbreak in decades as case count rises to 1,000 - theguardian.com Same calories, different responses: Food processing influences metabolism and brain activity - Medical Xpress New York state declares measles disaster amid resurgence of disease in US - aljazeera.com How Congo’s Ebola Epidemic Got So Bad So Quickly - nytimes.comBBC News
Trump says 'threat' led US to pull bombers from RAF Fairford Author and former politician Jeffrey Archer dies aged 86 Tories pledge £10bn 'Britannia Shield' air defence system Rise in babies in care proceedings raises fears of unnecessary adoptions, experts tell BBC France braces for national day of school protests after injuries and mass arrests Temperatures set to fall as rain and cloud sweep across UK Europe is pouring billions into space. Can Glasgow's satellite industry keep up? King's funding for Andrew not to be used for legal action against police MPs call for investigation after Lutnick-Epstein whistleblower dies I won't accept exclusion within Green Party, says Polanski after criticism of Zionism motion US 'watching closely' after plague researcher dies in Russia Prisoner took his own life after terror order had 'substantial impact' on mental state, inquest finds We're saving £100 a month into pensions for our toddler and baby - here's why What prompted the US bombers to leave RAF Fairford? Jeffrey Archer: successful novelist, disgraced politician and convicted liar Saudi Arabia urged to spare man sentenced to death over Facebook post The Papers: Badenoch's 'Britannia Dome' and 'King tells Andrew 'I won't fund court fight'' Dread presenting at work? Read these tips before your next meeting A simple guide to the US midterms Blue Planet and Gandhi composer George Fenton dies aged 76 Trump says he will stop using taxpayer funds for ads after bipartisan pushback Yemeni military says it has 'secured' Red Sea waterway Watch: Moment Indonesian sneaker shop is torn apart by explosion OpenAI admits response to Australian government hacks 'not good enough' Fort Hood shooter to be executed by firing squad, in first since World War Two Major fire breaks out at Nottingham city centre property BBC News app Are The Public Ready To Vote Tory Again? England's greatest international? Kane is now a serious contender F1 needs to have hard look at itself - Sainz Player welfare, injury worries & boredom - has extended break worked? Medvedev disqualified from Djokovic match for hitting spectator with ball Gabriel in Man Utd team photo but no hint of reconciliation ECB will 'look at' funding women's Windies Test if neededFinancial Times (World)
FirstFT: French central bank chief warns on rising rates BT’s swoop on TalkTalk has regulators over a barrel Labour mayor of West Midlands urges chancellor to relax electric car targets German far right set to secure first-ever regional parliament president Brazil’s rightwing surge boosts Flávio Bolsonaro’s push to free his father Why accountancy firm listings don’t add up ICE launches trading in gold futures in London NextEra’s $67bn Dominion takeover faces political backlash in Virginia Britain has turned digital ID into a growth industry Can Kemi Badenoch return the Tories to power? Surge in borrowing costs hits corporate America France: between the bond market and the barricades Cold beer and cash only — Chicago’s dive bars are the real deal Silicon Valley expects AI will kill jobs but economists are not convinced Algeria projects its power in the Sahara Blockers: Rebels in the Deep State by Michael Lewis — Doge’s wrecking ball How a convention-defying start-up became Africa’s most popular bank BMW’s €2bn bet on Germany The bond sell-off comes for corporate America India’s first bullet train stumbles over divisions with partner Japan Ride-hailing apps hit the skids over driver fury Hong Kong quizzes HSBC over Singapore AI hub decision India’s Essar Group invests $18bn in US steel Trump says Maga Inc will pay for ads instead of taxpayers after backlash Trump eases red diesel limits in attempt to quell fuel inflationFinancial Times (UK)
BT’s swoop on TalkTalk has regulators over a barrel Labour mayor of West Midlands urges chancellor to relax electric car targets ICE launches trading in gold futures in London Britain has turned digital ID into a growth industry Can Kemi Badenoch return the Tories to power? Author and former Tory politician Jeffrey Archer dies aged 86 FCA to examine how it treated whistleblower who died by suicide Trump says US pulled bombers from UK after ‘threats’ ‘Very sensible’: Business warms to Badenoch’s pitch Tories pledge ‘Britannia Shield’ to protect UK from drone attacks Former prince Andrew seeks judicial review of police searches Conservatives promise big tax cuts in push to win over wealthy voters Burnham’s Budget must not be overshadowed by the OBR UK business secretary weighs up tariffs on Chinese EVs Greens’ anti-Zionism motion narrows potential base of support BT buys struggling rival TalkTalk out of administration Banks will lobby Healey for capital rules cut, says senior MP UK urged to embrace cheaper AI models Badenoch casts aside ‘red wall’ focus and returns Tories to their roots Reform UK’s Robert Jenrick faces fresh accusation from campaign donor New offices in London are full of empty bike racks, complain developers UK businessman given senior role at group linked to Kremlin money-laundering operation The Tories go back to basics Football CEO on reviving Wrexham: ‘Now, people see hope’ Jewish groups attack Greens after anti-Zionism motion passesThe New York Times
Inside Binance Founder Changpeng Zhao’s Life After Prison Who’s to Blame When A.I. Goes Rogue? OpenAI’s Greg Brockman Backs Out of Second $25 Million Donation to A.I. Super PAC How Meta Uses A.I. Data Centers to Avoid Billions in Federal Taxes The Humanoid Robot Future Has Arrived at a South Korean Park. Sort of. US Solar Panel Makers Try to Catch China With a Big Leap in Technology Are Babies Conscious? Court Tosses Sentence After A.I. Video of Victim ‘Forgiving’ His Killer Is Played An A.I. Songwriting Experiment: Humans Against the Machine Sales of Hulking Pickups and S.U.V.s Sag as Fuel Prices Soar A.I. Agents: Cute, Cuddly and Maybe Catastrophically Dangerous? Amazon Promises More Local Funding and Less Secrecy Around Data Centers Russia’s Latest Propaganda? A.I.-Generated War Songs. Amazon Settles Lawsuit Over Claims of Slow Deliveries to Low-Income Areas Swedish Company Uses A.I. Likeness of Greta Garbo in Ad What’s Next for ‘Hard Fork’? When Data Centers Cluster Together, How Dirty Are They? One County Wants Answers. Google Releases New Gemini Model With Guardrails Amid A.I. Safety Debate F.T.C. Investigates OpenAI and Anthropic Over Potential Consumer Harms How to Listen to Your Favorite Music, Online or Off the Grid He Was a Tech Investor Before There Was a Silicon Valley At A.I. Event, Trump Asks Meta, OpenAI and Microsoft to Make Safety Decisions Themselves Ukrainian Science Academy, Struck by Drone, Played Key Role in Research OpenAI Unveils Dots, New A.I. Agents to Rival Meta’s Muse OpenAI Ignored Employees’ Warnings About Safely Testing A.I. Models Is Claude Conscious? Inside Anthropic’s Quest to Instill Morality Into Its A.I. Models College Students Flex Their Power in A.I. Investment FrenzyThe Guardian
Tigray rebel groups ‘forcibly recruiting boys as young as 15’ as fighting spreads Guardian readers fund life-changing surgery for Somali boy injured in US airstrike Skull fractures suggest servants of Egypt’s ancient kings were sacrificed Egyptian journalist faces terrorism charges after entire newsroom detained Libyan unity talks upended as warlord’s son linked to drone attacks on fuel facilities Flávio Bolsonaro poised to win Brazilian presidency after shock first-round victory Far right on the march and Lula’s failures: key drivers of Flávio Bolsonaro’s Brazil surge Quebec poised to elect separatists to power for first time in more than a decade Sass Jordan, Canadian rock singer-songwriter, dies aged 65 Brazil presidential election 2026: first-round live results Fuel from South Korea being shipped to Russia as Ukraine war grinds on Extreme heat warnings issued for parts of southern California US marine arrested in Japan on suspicion of killing woman, police say UK car industry faces ‘difficult trade-off’ between Chinese and EU markets North Korea launches ballistic missile after Seoul demands apology over wounded soldiers RSPCA NSW director quits over welfare standards for RSPCA-branded chicken Alan Jones corresponded with 13-year-old who asked for financial help, court hears Angus Taylor vows biggest cut to migration in Australia’s history, slashing 650,000 temporary visas Judith Lucy announces breast cancer diagnosis: ‘I’m in shock, but I’m OK’ Beau Lamarre-Condon trial shown CCTV of accused’s movements across Sydney after alleged double murder Green party of England and Wales facing international ostracism over ‘Zionism is racism’ vote Norway plans temporary ban on smart glasses in some public places Nearly 200 students injured in French schools protests as clashes with police continue – as it happened France braces for national day of school protests as boy loses hand US closely monitoring case of lab worker who ‘possibly’ died of plague in Siberia, says Rubio Saudi-backed forces recapture key areas around strait from Houthis in Yemen Flydubai co-pilot originally planned attack for July, investigators believe UK threatens to expel Israeli diplomats over planned East Jerusalem consulate closure Why did the US rush to withdraw bombers from RAF Fairford? - The Latest Air campaign against Houthis under way in Yemen, says Saudi-led coalition Supporters of Imran Khan start march on locked-down Islamabad India’s Cockroach movement launches new protests over changes to voter roll Eastern Spain braces for torrential rain and flooding ‘I was fighting for my life’: Indian pilot hailed as hero recalls flydubai cockpit attack British Sikh activist released from Delhi jail after nine-year detention UK regulator FCA to investigate how it handled Epstein whistleblower who took his own life Cancer rates rising more quickly among younger people, international study finds ‘A God-almighty punch-up’: rare footage shows Battle of Hastings (the 1966 one) Jeffrey Archer, former Conservative politician and novelist, dies aged 86 Conservatives propose £10bn ‘Britannia Shield’ inspired by Israel’s Iron Dome Trump claims he’s ‘doing great’ as his approval rating sinks to record low – as it happened Trump says Super Pac will pay for taxpayer-funded ads that sparked outcry Trump approves firing-squad execution of Fort Hood shooter, Pentagon says Student protests erupt at Cornell over mishandling of gang-rape allegations The Iran war is unpopular, but will it cost Trump the midterms? Our reporters answer your questionsHacker News
Resurrecting iChat Audio and Video Conferencing Why Common Lisp is now the best programming language Photopea creator weighs in on Photosuite project High Diesel Prices Bankrupted 16 Trucking Companies in Just 30 Days AI tutoring with Khanmigo in a two-year school experiment Samon: Designing a Zen Garden Raking Puzzle Ephemeral Testing Example.com just launched the biggest redesign in decades ChatGPT is adding real cartoonists' signatures to fake New Yorker cartoons Global Solar Atlas: summary of solar power potential globally Friendship ended with Deno, now Node is my best friend Texas city demands $2M for public records on Flock usage Find the flattest route between any two points in SF Dust: Pretraining Transformers Without Backpropagation Opus 5.5 agents discover two room-temperature magnetic semiconductor candidates Beam: Reflection's 501B open-weight model Making a GTK application in Haskell, part 1 The lamps in my house Web Search API Apple and a hacker's futureArxiv astro-ph.HE
Polarization Transport and Polarized Images of a Rotating Braneworld Black Hole The Virgo Cluster as a Case Study for Ancient Cosmic Ray Halos in Radio and X-rays Blasts from the Past: UHECR Excesses from a Population of GRB 21009A-like Transients Polarimetry of Black Hole Spin and Axisymmetric Emission Geometry A Unified Multi-Band Secular Framework for the Hierarchical Triple PSR J0435+3233 System A concordance model of neutron star kicks Observed x-ray spectral indices support magnetic buoyancy sourced coronae in Seyfert active galactic nuclei Dark matter in neutron stars: two-fluid $f$-mode oscillations in full general relativity The fading superorbital clock of Hercules X-1 in its 2025--2026 extended low state Fast X-ray Transient EP260321a: Shock Breakout through an Extended Circumstellar Matter A Vortex Avalanche Model for Pulsar Glitches Revisiting damping of Alfv\'en waves in partially ionized plasmas Jets with Streaks: the Global Dynamics and Structure of Striped Poynting flux dominated Jets Fast Bayesian Updating of the Neutron-Star Equation of State with Neural Posterior and Evidence Estimation Large offsets of double-neutron-star mergers: degeneracies and implications for host associations Pulsations and constraints on time lags in two distinct ULXs: NGC 5204 X-1 and NGC 55 ULX-1 A Brush with Turbulence: Probing the ICM Dynamics in the Merging Toothbrush Cluster using XRISM Radiation Reaction in Relativistic Magnetized Shocks of Neutron Star Magnetospheres A Physically Motivated Compact Parameterization of Neutron Star Atmosphere Emission for Thermal X-ray Pulse-Profile Modeling Energy-independent X-Ray Polarization in 4U 1630-47 in the Intermediate State from Spectroscopy and Polarimetry Continuous Gravitational Waves from Thermo-Elastic Mountains in Ultraluminous X-ray Pulsars Centaurus A: Opportunities to unveil particle acceleration with the CTAO Can Historic Measurements cast light on the Spectral Differences found between the Pierre Auger Observatory and the Telescope Array? Pair echo model of CTAO/LST-1 signal from GRB 221009A Electromagnetic ghosts in pair plasmas Grid Optimization for Wide Field Modulation Collimators Unravelling the Nature of AT\,2025abao: From Precursor to Final Fate From the Milky Way to the Early Universe: How Metallicity Shapes the Formation of Double Neutron Stars Gravitational-wave Echoes Beyond the Hubble Time from Quantum Black Holes Coherent radio bursts, polarity reversal, and quiescent emission from the M4V dwarf WW PsA Gravitational-wave background from supermassive black holes without merger trees: Tidally regulated mergers and direct inference from the NANOGrav 15 yr data Detection of knots in the supernova type Iax remnant Pa 30 Cherenkov Bursts are Memory Steps Impact of Cosmic Ray Acceleration on the Early Evolution of Bow Shocks around Massive Runaway Stars Photon Ring Astrometry I: A Simple Spin Measurement Technique for High-Resolution Images of M87* An Intrinsic Degeneracy in a Simplified Semi-Analytic Two-Spot Model for Thermal X-Ray Pulse-Profiles The jet-shaped pipe morphology in planetary nebulae and core-collapse supernova remnants Limit on high energy neutrino emission from Abell 119 using IceCube 10-year muon track data Granular mass perturbations on the pulsar - supermassive black hole system Spectral study of the outburst decay of the accreting millisecond X-ray pulsar SRGA J144459.2-604207 Phase-Resolved Ultra-High-Energy Emission Defines an Energetic Boundary for Compact-Object Engines and Dense-Matter Structure Tests of General Relativity with Einstein Telescope On the Nonlinear Dependence of Underground Muon Rate on Atmospheric Temperature Observed at Daya Bay Horizon-scale intensity and polarization images of rotating Konoplya-Zhidenko black holes with thick accretion flows Radiative filtering unifies broad-line phenomenology in active galactic nuclei Gravitational Enstrophy: Local Geometric Origin and Energy-Cascade Constraints Mapping Gas Accretion and Stellar Kinematics to Sub-kiloparsec Scales in NGC 4696 with JWST/NIRSpec Does the High Energy LUX-ZEPLIN Event Suggest Hyperfine Atomic Dark Matter? An End-to-End Numerical Framework for Tidal Disruption Events with AthenaKArxiv cs.LG
Bayes-Sufficient Compression Is Not Enough: How Does Communication Help Multi-Agent Systems? Least Squares for Time Series Forecasting Memory-State Critic for Asymmetric Actor-Critic with Application to Vision-Based Pursuit-Evasion Where Does Jagged Competence Come From? LLM-enhanced spatio-temporal learning for grid-level docked bike sharing demand prediction KVE-KD: Key Visual Evidence-Guided Knowledge Distillation for Vision-Language Models BAT-NO: A Boundary-Condition-Aware Transformer Neural Operator for Crashworthiness Prediction of Vehicle Components Retrieval-Centric Deep Learning in Growing Nonparametric Neural Networks Reinforcement Learning on the Discrete Composition Channel of a Crystal Generator: Validated Gains and Reward Hacking AdaEva: Accelerating LLM-Driven Algorithm Design with Adaptive Partial Evaluation COVER: Learning to Accept More in Selective Sleep Staging TreeWalker: Partial Evaluation for Grouped Tree-Ensemble Inference DePICT: Decision-Preserving Interface for Constrained Downstream Tasks Synthesizing Physics Formulae with Transformers Evolving LLM-Generated Features for Interpretable Classification One-Step Curvature Probes Miss the Fitting Operator: Retained Capacity and Terminal Null-Space Correction for Continual Learning Probabilistic Algorithms for Ising Machines from Optimization to Generative AI Learning Latent Protein Languages for Autoregressive Generation $\tilde{O}(\sqrt{T})$ Regret and Polylogarithmic Constraint Violation for COCO Selective Backpropagation for Efficient Few-Shot Class-Incremental Learning Slaying the Hydra: Interaction-Aware Circuit Discovery in Language Models LD-EnFF: Latent-Dynamics Ensemble Flow Filtering for Data Assimilation with Sparse Observations Protecting Sensitive Data in Image Synthesis via PAC-Private Adaptation for Diffusion Models On architectural choices for interpretability and thermodynamic consistency in Physically Recurrent Neural Networks in the low-data regime Articulatory Entrainment and Coordination Complexity in Spontaneous Autistic and Non-autistic Dialogue DUET: Co-Evolving Solver and Grader Agents Pareto-Dominant Clarification: Post-Training Coding LLMs via PPO-Lagrangian Budget Constraints Robust blind unmixing: A geometric approach to overcoming basis variation Beyond Masked Sparsity: SNACK Enables Truly Sparse Neural Networks on GPU Progressive Multi-Ancestor Bit-Depth Distillation Physics is the Best Teacher: Consistency Learning for Time-Invariant Operators of Chaotic Dynamics SEER: Self-Evolving Event Reasoning and Retrieval for Time Series Forecasting Sharp Convergence and Sample Complexity of Policy Mirror Descent for Average-Reward MDPs Dynamic Harness Search: Building Multi-Agent Systems Per-Query via Prediction Dual-Scale Relational Graph Transformers for Ecosystem-Aware Fraud Detection ExpertMuon-Compass: Alignment-Guided Step Sizes for Mixture-of-Experts Training Ideal Paths for Approximating Logistic Gradient Descent Trajectories at Large Initialization Consideration Circuits: Depth Separation and Universality Beyond a Single Softmax You May Be Running the Wrong Inception Crop How RL Reshapes LLM Reasoning: Transferability, Coverage, and Scaling Laws Principled Top-$k$ Selection for Language Models with Hybrid Gradients Clean: Second-order LLM Training at Linear Memory Cost via Nystr\"om Sketching FTD-GNO: Memory-Efficient Graph Neural Operators through Functional Tensor Decomposition of the Kernel PaLoRA: Paced Low-Rank Adaptation for Continual Learning Stochastic Adaptive Fourier Decomposition for Operator Learning Optimizer Geometry Sets the Pace: Spectral Learning Dynamics in Matrix Factorization A Hand-Checkable Proof That Two Hidden ReLU Layers Compute the Maximum of Six Numbers Cross-Trait Transfer in Subliminal Learning Adaptive Bregman Alternating Projections for Feasible Gromov-Wasserstein Learning Self-Reflection Fine-Tuning: Enhancing Agent Security against Prompt Injection Attacks from Failure Experience Rethinking Self-Distillation for Multi-Teacher Capability Merging Integrated Imputation-Classification for Supervised Learning with Missing Data Do RUL explanations hold up? Faithfulness and stability of attributions on C-MAPSS First-Order Steering: Translating Weight Adaptation into Activation Steering Questioning the Questions: Sustaining Self-Evolution in Reasoning Models What to Preserve in Recursive Computation: A Local Predictive Sufficiency Principle Modeling Deletion Requests in Machine Unlearning LyapuFlow: Controlling Generative Flows with Lyapunov Feedback for Inverse Problems S$^3$N: A Spherical Spiral Scanning Network for Weather Forecasting Hierarchical Credit Assignment for RLVR on Fused Gromov-Wasserstein Geometry Checkable NTK Positivity and Finite-Width Gradient Descent for Scalar- and Vector-Valued PINNs with Strong-Form, Weak-Form, and Nonlocal Linear Constraints A Bird's-Eye View of Iterative Reward Design A multi-stage probabilistic framework to estimate gas-fired generator performance during extreme winter weather CEENs: Causality-enforced evolutional networks for solving time-dependent partial differential equations Specific Algorithmic Interpretability of Neural Networks: A Case Study on Textures MaDeL: Manifold-Decomposed Feature Losses for Generative Modeling Measuring Effective Data Resolution in Guided Diffusion Posteriors On the Trade-off Between Information Loss and Generalization in Sparse Attention UnAct: Gradient-Free Unlearning via Targeted Activation Intervention COSMOS: Soft Mechanism Mixtures with Verifiable Routing for Long-Horizon PDE Forecasting LocusRL: Diagnosing LLM Reward and Policy Interventions in Competitive Games One-Step Generation via Riemannian Wasserstein Gradient Flows Target-free Latent Safety Alignment BARQ: Balanced Codebook Refinement for Low-Bit LLM Quantization Understanding Clustering in Slot Attention via Particle Dynamics LoRA's Second Descent Extends Beyond Parameter Parity Length Generalization Needs Proper Regularization Proximal Causal Learning under Unmeasured Confounding Weight Decay and Neuron Condensation: A Three-Stage Analysis of Two-Layer ReLU Networks PhaseGate: Phase-Aware CPU Retrieval Scheduling for On-Device LLMs on Unified Memory TMAML: Temporal Model-Agnostic Meta-Learning for Cold-Start Time Series Forecasting Coupling Noisy Pairwise Knowledge to the DAG Posterior for Causal Discovery Only Project Once: Projection-Adaptive Loss for Exact Constraint Satisfaction DiffGate: Difficulty-Gated Teacher Guidance for On-Policy Distillation Asymptotically Optimal Best Arm Identification with Fixed-Budget under Differential Privacy Anticipating the Consequences of Curriculum Decisions with Large Language Models Backward-Consistent Diffusion Sampling for Sparsely Observed PDE Inverse Problems The Numerical Linear Algebra of Large Language Models Policy as Data: Replay-Based Policy Dual Averaging via Advantage Regression Revisiting the Generalization of Neural Graph Edit Distance Models Gated Target Propagation for Compositional Generalization in Continual Learning Pareto-Improving Adversarial Attacks with Primal-Dual Regularization Path Laplacian Encodings for Directed Graphs Low-Fidelity FDM Spectral Guidance for Neural Eigenvalue Solvers Score-Calibrated Flow for Sampling from Unnormalized Densities with Applications to Generative Online Reinforcement Learning Learning Discriminative Geometry for Drifting Models Localized Operator Learning with Adaptive Partition-of-Unity Mixture-of-Expert Networks FoSeRL: Formal Sequential Robustness Certification for Reinforcement Learning Policies EasyClassifier: Honest, Reproducible Machine-Learning Classification for Researchers Who Do Not Program Variance-Optimal Control Variates for Learning with Black-box Feedback Repeated-Measure Leakage, Distribution Shift, and Reliability under Partial Observation in Patient World Models DASH: Fast, Valid Counterfactuals for Deep Networks via Batched Directional Search KALEIDO: Input-Space Adaptation of a Vision Model for Time-Series Forecasting Through Gated Fold Geometries TIMBRE: Teaching Time Series Forecasters to Read, Remember, and Reconcile Multi-Agent Spectrum Sharing Separating Decision Time from Decision Quality in the Real-Time Gap of Distilled Deciders: Evidence from a Game and a Conveyor Simulator GRAM: Correcting Frozen Time-Series Foundation Models via Graph-Retrieved Amplitude Memory Which Preferences to Train On? End-to-End Multi-Objective Alignment with an Adversarial Preference Distribution PIT-GCL: Protein Interaction using Topological Graph Contrastive Learning CURIO: Curiosity-Driven Test-Time Learning for Open-Ended Discovery Greedy Local Learning for Language Model Pretraining: Gaps and Objective Design Your Temporal Link Predictor Is Blind to Who Is Active: A Missing Factor That Transfers Across Models ResOPD: Tail Residualization for Sparse On-Policy Distillation SFlexRCA: Lightweight, Scalable, and Flexible Root Cause Analysis for IIoT Edge Systems ScopeSAE: Model-Scope Feature Discovery with Interpretable Layer Selection Why Subliminal Learning Needs So Much Data: A Noisy Inverse View through Steering Vector Recovery Residual Visual Credit Optimization: Conserved Evidence Routing for Multimodal Reinforcement Learning TSAE: Structured Sparse Autoencoders for Interpreting Time-Series Forecasting Models Prompt Dominance and Asymmetric Verifier Costs: Empirical Ablations of GRPO at 1B Scale on GSM8K Billion-Scale Thumbnail Optimization for Uncurated Short-Form Videos via Multi-Armed Bandits Learning under Localized Minority Imbalance D-DOIT: Training-free Adaptation of Discrete Diffusion via Doob's h-Transform A Graph-Based Inspection and Intervention Tool for Assessing Mechanistic Learning in PINNs Software World Models: From Consequence Prediction to Decision Value TempoBridge: Source-Conditioned Flow Matching with Optimal Transport Couplings for Single-Cell Population Transitions Bridging the EHR Divide: Asymmetric Contrastive Learning for Cross-National Medical Representation Transfer How Should Teachers Be Prepared? RL on Student-Induced States for On-Policy Distillation EDISCO: Equivariant DIScrete Diffusion for Euclidean Combinatorial Optimization Trinity: One Differentiable Physics for Training, Refining and Scoring Generative Floorplanners MAGIC: Topology-Aware Analytic Graph Few-Shot Class-Incremental Learning One Token Can Be Enough: Bridging Prompting and Activation Steering with Prefix Steering Hamiltonian Metric Learning and Energy-Based Training: A Dissipative Geometric Framework for Optimization Priced Guidance: Can Language Models Generate Future Research Ideas? What Will Post-Training Fix? Per-Problem Gains Are Shared Across Independent RL Runs, and Existing Checkpoints Predict Them Better Than A Priori Signals How Long, Not How Close: A Learned Temporal Metric for Planning in Latent World Models Pessimistic Minimax Learning for Public-Private Information Games under Unilateral Coverage Beyond Overparameterization: Provable Learning of Input-Convex Multi-Layer Polynomial Networks with Active Queries Physics-Augmented Graph Transformers for Patch-Antenna Forward and Inverse Design MetaKernelBench: Measuring GPU Kernel Knowledge Transfer Beyond Code Operational Abstractions of Neural Network Concepts via Topological Representations Calibrated Weak Supervision for Post-Harvest Burned-Cropland Mapping Under Label Scarcity E$^2$-OPSD: Taming Entropy Overshoot in On-Policy Self-Distillation LogSig-SSM: Time-Series Modelling with Multi-Scale Log-Signature Compression for State-Space Models Revealing After Overwriting: An Exponential POMDP OPE Lower Bound under History-Dependent Logging Outcome-Guided On-Policy Self-Distillation Discrete Action Matching: Learning Stochastic Dynamics from Samples via State Graphs ReDiffNet: Differential RGB-Infrared Learning for Low-Light UAV Oriented Vehicle Detection How Execution Assumptions Change Short-Horizon Sharpe Rankings: Evidence from a Synthetic Trading Benchmark Direction-Conditioned Policies for Online Goal-Conditioned Reinforcement Learning Advectra: Asymmetric Latent Transport for Non-Stationary Physics METRO: Metric-Enhanced Token Routing Operator Private Component-by-Component Learning Best-of-$N$ Guidance for Test-time Diffusion Alignment Bayesian Entropy-based Reordering for Calibrated Diffusion Language Models Component-Level Evaluation of Adaptive PINN Training for CFD-Oriented Crystal Growth Simulation Hidden in the Comments: A Context-Injection Attack Surface in Code LLMs Arithmetic Actor Heads and Training Stabilization for Out-of-Distribution Reinforcement Learning Cross-Modal Contrastive Learning for the Retrieval of Immunotherapy-Associated Molecular Signatures from Histopathology Measuring Learned Monotone Temporal Aggregation at Matched Admissibility Cross-Time Directional Selection in Diffusion Sampling Learning without Overwriting: A Theory of Self-Distillation and Supervised Fine-Tuning in Continual Reasoning Ranking Bandits for Carousel Interfaces with Observable Browsing Depth EMG-GPT: Predictive Pretraining on Residual-Quantized EMG Tokens for Hand Pose Estimation Pythia: Toward Foundation World Models for Multimodal Time Series Kolmogorov-Arnold Networks for Personal Context Recognition on ExtraSensory Loopy: Low-Bit Quantization Framework for Looped Language Models A Unified Scaling Law for Time Series Foundation Models Fast Convergence through Distributed Augmentation for Class-Imbalanced Federated Learning Smoothed Gradient Method for Nonconvex Federated Stochastic Bilevel Optimization Erased, Rerouted, or Rescaled? Post-Training and the Causal Quotient of a Language Model's Belief State FlexCast: Adaptive Weather Forecasting from Arbitrary Field Sets Do Neural Networks Learn Structure-Preserving Maps? A Case Study in Latent-to-Hilbert Embeddings ASCENT: Online Test-Time Training of Long-Horizon Agents via Self-Distillation of Verified Experience Robust Parameter-Efficient LLM Adaptation on Analog Hardware When Does Longer Reasoning Help? Predicting Mathematical Reasoning Through Discovery and Execution Understanding the Weight Averaging Mechanism in LLM Training for Post-Training Quantization Compact set-valued deep ensembling in multi-class classification Diffusion Transformers are Provably Optimal In-context Generators Green-Routed Neural Operators:\\Physics Determines Where the Network Reads On Semi-Markov Suboptimality in Hierarchical Reinforcement Learning Reflections and Fragments: Securing LLMs Against Sequential Mosaic Attacks Task Inference Beyond Least Squares in Behavioral Foundation Models Rethinking Tabular Foundation Models On Data Streams FACET: Factorized Asymmetric Conditioning for Efficient Transport in High-Fidelity Fluorescence Microscopy Synthesis The Effect of Missingness-Pattern Mismatch on Method Selection for Time-Series Classification: A Controlled Empirical Study Robust Ensemble Guidance for Scientific Inverse Problems Distributed Subliminal Learning: Replacing Model Updates with Random-Carrier Outputs Does Explainability Survive Data Drift? GNN-CB: A Graph Neural Network Competition Benchmark for Human and LLM Evaluation Efficient Graph Generation via Direct Prediction and Flow Matching No Concept Escapes the Audit: Auditing-Aware Unlearning for Verifiable Concept Erasure in Diffusion Models Task Vector Descent: Learning from Non-IID Batches BeliefGraph-JEPA: Structured Latent World Models for Action-Conditioned Time Series Hierarchical Time-aware Bootstrapping for Off-Policy Subgoal Value Learning Groupwise Distortion Guarantees for Preference-Based Alignment VERA: Verdict-Conditioned Reliability for Adaptive LLM Judges Measuring and Reducing Cross-Vendor Mismatch in Language Models Population Scaling or Data Dilution? Dynamics of Local Topology Evolution in Decentralized Learning Universal Test-Time Training Underscoring the Problem: Why Softpick Fails at Initialization Universality and Convergence of Generative Flows When Does Retrieval Help? A Study of In-Context Adaptation in Vision-Language-Action Models LEON: Location Embeddings from OSM Neighborhoods via Hexagonal Graph Masked Autoencoders Logic-Logit: A Logic-Based Approach to Choice Modeling Lightweight Semantic EEG Foundation Model for Frozen Cross-Disorder Transfer What Does a Harness Repair? A Preregistered Study of Visibility, Baseline Adequacy and Evaluation Defects LiFT: Loop Flow Transformers Don't Judge an LLM Only by Its Activations: Discovering Suppressed Safety Features via Counterfactual Activation Potential Soft Strategy Selection for Batch-Mode Active Learning Joint Estimation of Common-Slope Decay Rates and Spatial Amplitudes Using Parameterized Nonnegative Matrix Factorization When Low Prediction Error Misleads Planning: Diagnosing Representation, Dynamics, and Decision Failures in Latent World Models An equality condition for the Dobrushin bound on attention rollout and how often it holds in trained transformers Cut Binary Cross Entropy: Efficient Large-Vocabulary Loss and Gradient Kernels for Sequential Recommendation Poisson-GENERIC Neural Operators: Exact Metriplectic Structure in Function Space via Casimir Entropies Disentangling Task Difficulty from Run-Level Failure in Agent Failure Prediction What Does an Observability Foundation Model Know? Expanding LLM Reasoning ColdDDI: Evaluating Knowledge Utilization in Cold-Start Drug-Drug Interaction Prediction When the Cross-Silo Federation Goes Offline: Continual Learning for Site Onboarding with Limited Unlabeled Data An LLM-in-the-loop RL Framework for Bioinformatics Feature Selection Your Unlearning Gives You Away: Identifying Erased Concepts in Diffusion Models Delay-coordinate reconstruction and conditional-moment causal diagnostics in stochastic systems When Does a Diffusion Model Decide What to Draw ? Training and Scaling Compute-Optimal Physiological Waveform Foundation Models Graph Data Augmentation via Contrastive Generator Inversion ($\texttt{DCBA}$) Bellman-Centric Learning: Near-Optimal Regret for Linear Bandits with Memory Sharp Integrality Gaps in Calibration Distance Square-Root Regret for Adversarial Multiplayer Bandits without Collision Information or Shared Randomness Planetary Geospatial Foundation Models: A New Paradigm for Global Public Health Voltic: Distinguishing Volatility from Stochasticity in Recurrent Memory From Pixels, Without Pre-training: Joint Generative and Self-Supervised Representation Learning in One Model ReMaD: Tuning-free Domain Adaptation for Classification and Out-of-Distribution Detection Inferring physical fields in coupled systems with unknown parameters from incomplete observations using physics-constrained attentive neural operators PACMI: Provenance-Aware Cascading Memory Invalidation for Long-Term LLM Agents CIPHER-MoE: Balancing Efficiency and Routing Fidelity in Trillion-Scale MoE Training Beyond In-Distribution Preservation: Recovering Generalization in Quantized VLAs via Vulnerability-Oriented Tuning AdaSpark: Adaptive DSpark with Online Learning for Tree Verification and N-gram Fill Image resolution enhancement for advanced semiconductor nodes Feature identification for parameter extraction and defect detection using machine learning Usefulness of Quantile-Aware Diffusion Modeling for Highly Imbalanced Tabular Data Selecting Long-Horizon Trajectories for Reliable and Efficient Terminal-Agent Training HiER-BLS: A Hierarchy-Guided and Error-Correcting Robust Incremental Broad Learning System CACFG: Curvature-Aware Classifier-Free Guidance and Optimal Control RepICL: Reusable In-Context Prediction Across Heterogeneous Representation Spaces The Blind Spot Paradox: When Adaptive Classifiers Defeat Drift Detectors TurboPairFormer: Fast and Stable Protein Folding Model Training with an Optimized Triangle Attention Kernel CCQ: A Multi-State Child Care Quality Dataset to Support AI for Children's Health Research Off-Policy Merging Beats On-Policy Self-Distillation for Continual Learning Global Communication or Graph-Specific Memory? OGAM: Connecting Systematic Testing to Runtime Assurance through Object-Grounded Attention Monitoring for VLA Policies The Optimization Landscape of Learning Compacted Context Models Collaborative Personalized Preference Alignment for LLMs under Data Deficiency On Hyperparameter Tuning on the Test Set CoHyFuse: Condition-wise Hypergraph Fusion with Global Connectome in Task-fMRI Large Stepsizes Federated Learning on Logistic Regression with Linearly Separable Data: The Case of Heterogeneous Devices Non-invasive Seizure Detection Using Wearable Wrist-worn Accelerometry and Deep Learning Beyond Transport Cost: Routing Differences between Flow Matching and Optimal Transport The Arbitrary-Placement Problem in Entropy-Minimizing Selection, and a Residual-Entropy Formulation ThunderSyncRL: Lossless Acceleration of Agentic Reinforcement Learning Technical Report on the Turba Fertilizer Machine Learning Stack in Morocco Discovered, Not Designed: Population Evolution for Collaborative and Compute-Intensive Model Discovery MEND: RL For Flow Models via Proximal Velocity Matching Physics-Informed but Not Physics-Consistent: Error Geometry and Subspace Projection for Neural AC Power Flow Strategic Multi-Agent Learning for Interpretable Action Valuation of All Players in Football Fast Last-Iterate Convergence in Zero-Sum Markov Games with Bandit Feedback Reachability-Aware Diffusion Policy Optimization Transfer-Stratified On-Policy Distillation for RL-Improved Reasoning Teachers StagQ: Constraint-Driven Multi-Precision Weight Quantization for LLMs EpicWorldModel: Exploration-driven Planning with Latent World Models Langevin Flow Maps: Efficient Molecular Dynamics and Transition Path Sampling Learning While Scheduling Jobs under Context-Dependent Service Rates: An Anytime Rate-Optimal Algorithm Ultrasound Operator Guidance Using World Modeling and Retrieval Based Action Planning Spectral Geometry of Attention: From Information Routing to Uncertainty Adaptive Expert Guidance for Efficient On-Policy Reinforcement Learning Joint Precision Neural Networks: Task-Aware Dependency and Predictive Learning MercerFlow: Flow Matching in a Kernel-Induced Latent Space for Probabilistic Forecasting GO-Based Clustering for Learning Cluster-Level Causal Gene Regulatory Networks Pay to Learn, Share to Earn: Incentivized Federated Multi-Player Bandits Boosting Transferable Adversarial Attacks against Deep Reinforcement Learning Rethinking Least-Core Computation in Contextual-Distractor Games Lossy Compression of PDE Training Inputs: Field Reconstruction Error Does Not Order the Cost to a Trained Operator On the Geometry of Multimodal Saturation: Riemannian VICReg Flash-OPD: Fast On-Policy Distillation ORCA: The Annealed Spectral Conditioning Optimizer for Faster, Better LLM Training Mind the Drift: Diagonal Linear Networks Under Large Learning Rates Integrating Survival-Based Aging Models with Data-Driven RUL Prognostics Machine learning for journal entry testing: A type-aware evaluation of anomaly detectors under a review budget Co-Optimizing Graph Sparsification and Approximate Computing for Energy-Efficient FPGA-Based GCN Inference TIGER: Time-Series Classification with In-Context-Learning Gated Ensemble of Representations Anosognosia in LLMs: Probing Self-Awareness of Quantized Computational Substrate Anlu: Enabling In-Context Time Series Anomaly Detection in Foundation Models via Counterfactual Supervision Two-Point Local Optimality in $k$-Means via Boundary-Point Screening Loss-Invariant Projections as Passive Probes of Learned Representations Structured Representation Learning for Behavior Cloning: How can we learn to safely control a nuclear power plant? Sampling Allocation of LinUCB: Optimal Design Limits in the Small-Gap Regime LeAVJEPA: A Minimalist Architecture for Audio-Visual Self-Supervised Learning SO(3)-RoPE for Spherical Transformers Parameter Estimation in Machining Dynamics with Regenerative Delay and Nonsmooth Friction using Physics-Informed Neural Networks Certification-Enhanced Generalization Bounds Few-Shot Prototype Head Adaptation for On-Device ECG Personalization on PSoC~6 RoSA: Rotational Sparse Adaptation for Memory-Efficient Fine-Tuning Constrained Goal-directed Planar Graph Generation with Grammar-based Reinforcement Learning Generative World Models Enable Predictive Control of Laser Melt Pool Dynamics Lipschitz Thinking: Ten Years of Certifiable-by-Design Robust Neural Networks SimAuthor: Harnessing Foundation Models for Persistent Scientific Simulator Authoring OCL-PDE: A Generative Framework for PDE Inverse Problems with Observation-Complementary Latents Ramp Metering Control via Hybrid State Deep Reinforcement Learning in Partially Observable Connected Vehicle Environments What May an Agent Change About Itself? A Containment Floor for Self-Configuring Agent Runtimes dIon: Fragmentation-Based Invariance for Self-Supervised Learning of Tandem Mass Spectra When Are Concept Bottleneck Model Explanations Faithful and Compact? Trajectory-Guided Tokenization of Complex CSI for Wi-Fi Sensing SPDAlign: Interpretable Riemannian Alignment for EEG Forward Modeling Shifts Dynamic Minimax Regret Optimization for Robust LLM Post-Training Stability-Shaped Deep Graph Learning Multimodal Deep Survival Analysis for Sinkhole Susceptibility Steering by Influence: Curvature Aware Data Weighting for Activation Steering Scaling Down the Scaling Laws: Parameter Efficiency and Compute-Optimal Training in Resource-Constrained Large Language Models Learning Pareto Stationary Fronts via Single-Pass Backpropagation Quantifying the Stability of Multi-Step Reasoning via Error Amplification FlashCart: Fast Cartesian Tensor Products for Equivariant Interatomic Potentials Training-Free Transformer Merging via Sequential Local Operator Alignment Efficient Secure Federated Learning via Information-Theoretically Secure Key Distribution: A Medical Imaging Case Study HeuFouFT: Task-Guided Metaheuristic Coordinate Search for Fourier Fine-Tuning Better Call Reward: Reward Hacking as Strategic Abstention in Legal Reasoning Models ARO: Aligned Representation learning for multi-Omics data Time-series Foundation Models for Predictive Control: The Role of Excitation EMG-FM-Bench: A Comprehensive Benchmark for Foundation Model Transfer and Adaptation on Electromyography A Physics-Guided Transformer Framework for Electromigration Analysis in Multi-Segment Interconnects Latent Flow Matching for Molecular Graph Generation FairProp: Fair Node Representation Learning via Differentiable Propagation Layers Improving Proactive AI Assistance with Hierarchical Procedural Understanding Xaurora: Generative Weather Forecasting with Denoising Stochastic Interpolants from a Foundation Model Prior Conditional Flow Matching for Single-Neuron Electrophysiology: Capturing Multimodal Responses Across Stimuli WaveGSSM: Graph Wave State Space Models for Propagating Spatio-Temporal Patterns A Fine-Grained Analysis of the LoRA Fine-Tuning Landscape with Implications for Data Selection Empirical Variational Autoencoder LinearPFN: Amortized Variable Selection for Linear Models with Interactions Separators Make Carry Propagation Learnable:The Geometry of Latent Carry in a Multiplication Transformer Frozen Factor or Spectral Band? Disentangling Two Choices in Low-Rank LoRA Differentially Private Mixing of Public Datasets Improves Private Learning Beyond the Model: The Critical Role of Data Filtering in Clinical Machine Learning Considering Context: When World Models Need Context Encoders The Birkhoff Geometry of Manifold-Constrained Hyper-Connections: Two Channels, Vertex Viscosity, and Sinkhorn as a Retraction TrustmeWatcher: An Application for Workplace Micro-Sensing and Explainable Well-Being Feedback What Matters for Latent Reasoning with Flow Matching Learning What to Imitate: Entropy-Aware Distribution Mixing Detecting Nighttime Anomalies from NASA Black Marble Using a Generalized Spatio-Temporally Robust Framework of Machine Leaning Ensembles Improved Convergence of Large Stepsize Gradient Descent for Logistic Regression How Sparse Probability Maps Shape Mixture-of-Experts Routing Closing the Context Gap: Activation Alignment for Tabular In-Context Learning Aligning Multimodal Patient Evidence with Biomedical Knowledge Graphs for Clinical LLMs OVAL: Output-Aware Local Page Bases for KV Cache Retrieval Adapting prior-data fitted networks for tabular anomaly detection To Learn is to Wander: Learning Across Graphs and Tasks with Random Walks BRANCH-MoE: Balance-Aware Tree Routing for Large Embedding Models Decoupling Time and Space: A Temporally Conditioned Refinement for EEG Source Imaging Hyperbolic Graph Representation Learning: Embed in One Metric, Optimize with Another MatrixFormer: A Foundation Model for Matrix Completion Round-Trip KNN Clustering: multiscale hierarchical cluster detection on directed nearest-neighbour graphs Sharpen Without Search: On-Policy Distillation of Sequence-Level Power Distribution H-JEPA: End-to-End Learning of Hierarchical World Models for Visual Planning Block Disentanglement in CRL: Bridging Identifiability and Visual State Estimation Private online learning and prediction for Littlestone classes Deep Learning for Sleep Heart Rate Estimation from Accelerometers: Toward Population-Scale Cardiac Insight Without Optical Sensors Towards Looped Models Done Right, Part II: Rethinking at Fixed Points Base Models Can Reason By Taking a Cue From Training Data Game Plan: What AI can do for Football, and What Football can do for AI On the Approximation Relationship between Optimizing Ratio of Submodular (RS) and Difference of Submodular (DS) Functions Broaden Your Views for Self-Supervised Video Learning Sharp Deviations Bounds for Dirichlet Weighted Sums with Application to analysis of Bayesian algorithms The Llama 3 Herd of Models Evolutionary feature selection for spiking neural network pattern classifiers Online Control via Counterfactual Tracking Shapley-based Structural Analysis of Neural Calibration for Stochastic Volatility Models Efficient Analog-Initialized Latent Transport for Spatially Coherent Probabilistic Downscaling from Global to Kilometer Scales Deep Learning Denoising of Real SWOT Sea Surface Height Observations Logit-Aware MIMO AirComp for Distributed Mixture-of-Experts LLM Inference over Wireless Edge Networks Structured Neural Modeling of Daily Arctic Sea-Ice Concentration Evolution: Physical-Trajectory-Driven Learning and Forecast-Domain Adaptation Generalizable Neural Downscaling of Earth System Model Wind Fields via Continuous Dynamics Modeling BridgeCast: Bridging Ocean Wave Forecasts to Reanalysis via Flow Matching with Exogenous Variables LoRA Direction Extraction for Controllable Light Toggling in FLUX.1 Kontext StepCAD: Mesh-to-CAD Code Generation via LLM Policy and Geometry-Guided Search Targeted Active Learning for Preference-Based Treatment Effects on Multivariate Outcomes Same Output, Different Gold: Measuring How Reference Choice Moves a Multilingual Benchmark Score The Score Is Not the Structure: Brain Alignment and Cross-Lingual Transfer OncoNoteBERT: A Foundation Representation Model for Natural Language Processing of Real-World Outpatient Oncology Notes Distribution Matching Evolutionary Algorithms for Rare Event Sampling Probability flow ODEs in score-based and reflected diffusion models Training Numerical Intelligence via Auto-Diagnosis and Skill Discovery Streaming Multi-Track Timeline Control for 3D Human Motion Generation REACT: Physically and Chemically Consistent Reconstruction of Marine Active Tracers Proxy Confidence: Auditing Black-Box LLM Agents with a Surrogate's Log-Probabilities Latent Score-Based Bayesian Cram\'er-Rao Bound Estimation for High-Dimensional Imaging Systems Localize-and-Detect: Auditing Task-Level Poisoning in Instruction-Tuned Models Teaching Agents to Code Reliably Masked Privileged-Information Distillation for Multimodal Skin Lesion Classification Under Missing Clinical Metadata SkillScriptBench: Benchmarking Self-Evolution of Executable Agent Skill Packages Beyond Markdown SUAVE: Unified Video-Action Models via Masked Diffusion Gated Graph Neural Networks for Learning Hidden Independent Cascade Dynamics Adaptive Partitioning Schemes for Optimistic Optimization Dynamic Quadtree Tokenization and Transformer for Adaptive Mesh PDE Forecasting Periscope: Extending Frozen Language Models Beyond Their Context Window Geometry-Dependent Approximation for Non-Monotone $k$-Submodular Maximization Application of sequence learning for predicting radiation damage of the CMS electromagnetic calorimeter Evaluating Zone-Guided Front Extraction for Glacier Calving-Front Delineation in SAR Imagery Why Convolution Still Matters: Evaluating Inductive Biases in Cryospheric Image Classification Exact Optimal Transport by Matching Scaling 3D Visual Grounding in Abdominal CT Representation-Aligned Auxiliary Supervision for Language Model Adaptation Where Does the Semantic Gain Come From? A Reproduction and Extension of Semantic Knowledge-driven Contrastive Learning for Long-Tailed Recognition Representational Control over Self-Report & Behavior Coherence in LLM Risk-Taking What Gradients Add to Text Leakage in Split Language Models, Counted per Token and per Document InvestigationWorlds: An Agentic Environment for Legal Investigation Shared Geometry Is Not Shared Physics: A Layerwise Test of the Platonic Representation Hypothesis in Astronomy Agentic Resource Allocation for Batch Multi-Objective Bayesian Optimization in Autonomous Materials Discovery One-Cycle Fault Classification and Faulted-Line Identification on the PROTECT-90 Dataset: An Initial Application Benchmark Trajectory-Derived Confidence for Reliable, Resource-Aware Clinical Text-to-SQL Agents Mitigating Over-squashing without Rewiring: A Sheaf Effective Resistance Perspective Language Model Activations Inhabit Privileged Error-Correcting Basins MemLeak: Cross-User Semantic Leakage in Multi-Tenant AI Agent Memory ALoDLM: Adaptively Looped Diffusion Language Models Humanoid Rickshaw Pulling: Whole-Body Locomotion under Coupled Wheeled Loads Conformal Prediction with Paraphrase-Aware Scoring for LLM Uncertainty Quantification Attention-Based Surface Representation Learning for Robot State Prediction and Open-Ended Surface Classification Amortized Score-Hamiltonian Policy Iteration: A Grid-Free Scheme for Relaxed Stochastic Control Problems CyTReX: Explainable AI-Based Cybersecurity Threat Reasoning Framework for DER Networks Local Fisher Information Enables Sparse Causal Discovery Latent Safety Filters: When a Lossy Encoder Admits a Transferable Certificate ML-OPF-Bench: Benchmarking Machine Learning for Optimal Power Flow FLAT: Smoothing the Rugged Landscape for Learnable, Sample-Efficient Traffic Calibration A KKL Observer Perspective on Reservoir Computing Frame-Level Temporal Alignment for Human-to-Robot Visual Adaptation Largest Rashomon sets of decision trees for robust contextual optimization Gaussian Flow Dynamics: Simulation-Free Neural SDE Learning Beyond One-Time Marginals JASPER: Special Session on Joint Reliability And Security Assessment of SPlit Computing for Edge Robustness Saying, Not Knowing: Aggressively GGUF-Quantized Small Language Models Still Write Rare Words They Can No Longer Define TimeNet: An Extensible Unified Data Infrastructure for Next-Generation Temporal Foundation Models What Does a Harness Buy? Tokens, Mostly Causally Fair Generation with Large Language Models DV-Lens: Revealing the Functional Organization of Language Model Parameters DreamTest: World-Model Surrogates for Search-Based Testing of Deep Reinforcement Learning Agents Homogeneous Semantic Alignment and Hierarchical Expert Routing for Radiology Report Generation ManifoldCache: Training-Free Diffusion Acceleration via Constraint Manifold Caching EvoCast: Reliable Autonomous Research Agents for Iterative Forecasting Architecture Evolution All against the machine: the Solo score for rating skill in variable environments Diffusion-Based Stress Testing of Overload Monitoring for Resilient Emergency Cellular Networks Using Internet CDR Proxies Quantum Machine Learning Protection of Military Quantum Key Distribution Against Cryptographically Camouflaged Attacks Label Agreement Does Not Measure Authorization ClimateBench v2.0: Probabilistic Climate Model Benchmarking Gradient-Free Sampling from Generative Models via Stochastic Bounded Extremum Seeking From Transformers to Weighted Automata: Towards the Verification of Large Language Models Variational Quantum Attention for Molecular Graph Learning SIFT: Robust Meta-Faithfulness Verification of Chain-of-Thought Reasoning Under Distribution Shift WASP: Weakly Aligned Spatiotemporal Pairs for Fetal Brain MRI-Ultrasound Learning ConEx: Human-Interpretable Saliency Maps via Concept-Aware Attribution Exploiting Hierarchical Controller Structure in Contextual Parameter Learning for Humanoid Loco-Manipulation Does Neural Complexity Improve Health Misinformation Detection? A Leakage-Controlled Cross-Corpus Benchmark Hypergraph Representation Learning with Hyperlink Random Effects GS-Codec: A Gaussian-Splatting Bottleneck for Neural Audio Coding Asking the Crowd the Right Question: Bias-Cancelling Weights for Federated Learning When Debate Helps: Proposal Supply and Verification-Aware Readout in Multi-Agent Reasoning SepRQ : Self-Supervised Speech Mixture Representation Learning via Mask-Free, Multi-Scale Source Separation GPU-Accelerated Bregman Douglas-Rachford Splitting for Discrete Optimal Transport Latent-Lagrangian Neural Networks for Reduced Order Modeling of Non-autonomous Nonlinear Dynamical Systems PyINE: A Framework for Scalable Elicitation and Oversight via Code Execution Exact Fast Batch Simulation for Tabular Reinforcement Learning Variance-Aware Fine-Grained Gap-Dependent Bounds for Online Reinforcement Learning When Is Enough Enough in Self-Evolving LLM Systems? Flow Policies as Actions of Skill-Level World Models: Learned and Symbolic Abstractions for Long-Horizon Planning Learning Task and Motion Plans from Real Demonstrations with Hybrid Flow Matching RepTC: Representation-Aware Optimization for Efficient Traffic Classification on Edge IoT Devices Active-DiNTS: Active Differentiable Network Topology Search AID: A Framework for AI Infrastructure Dynamics MOXIE: Discovering Alternative Explanations for Biomedical Image Classifiers One Tile, Multiple Instances: Rethinking MIL for Sparse Diagnostic Evidence GitSwarm: Decentralized Compounding Inference When the noncommutative AM-GM inequality holds SpecFold: Folding Multi-Branch Redundancy for Faster Speculative Decoding in Diffusion Language Models Bounded Reasoning: Cognitive Hierarchy in Human-versus-AI Cyber Defense Static Bootstrap Placement for Encrypted Language Model Decoding Monitorability Disposition in Large Reasoning Models Assembling Insights for Agentic Machine Learning Engineering Systems DiVeR: Decision-Critical Verifier Learning for VLA Test-Time Scaling Near-Optimal Complexity of Finite-Sum Nonconvex-Strongly-Concave Minimax Optimization Optimal Oracle Complexity for Finite-Sum Monotone Inclusions A Statistical Inference Framework for PMI Estimation and SGNS Word Embeddings vMF Sentence LDA: A Spherical Topic Model over Sentence Embeddings A Contrast-Source Inversion Scheme Based on Stochastic Optimization and Plug-and-Play Regularization Locality Sensitive Hashing for p-Exponential Kernels with Applications to Density Estimation TIRMamba: A Thermal-Prior-Modulated State-Space Network for Sub-Million-Parameter Infrared Image Super-Resolution On prediction from expert advice with more than five experts FORGE: Verification-Gated Behavioral Repair for Generative Language Models Synergizing Drone Delivery Order Pooling and Road Network Monitoring through Monitoring-Task Orderization Mind the Gaps: From Failure Attribution to Closed-Form Repair of Code Language Models Characterizing Parallelism Strategies in LLM Inference: Fundamental Compute-Communication Trade-offs Transferable Adversarial Robustness for Speech Foundation Models via Hierarchical Stabilization CoDance: Learning Reactive and Compliant Human-Humanoid Interaction from Video CT-Miner: Fast and Coarse-Grained Time-Series Pattern Mining via Cartesian Trees VAMPS: Visual and Motor Policies from Sampling-Based Planning AgentDiscover: Autonomous Discovery with Minimal Search Scaffolding AIProver: Agentic Auto-Formalization of Mathematical Research via Certificate-Driven Evolving Harness Unmentioned Checklist Findings Change How Reinforcement Learning Appears to Improve Chest Radiograph Report Checking Learning in Continuous Games from Pairwise Preference Feedback The sublevel Flood bifiltration: towards scalable 2-parameter persistent homology The Poisoned Conversation: Privacy-Leaking Watermarks in Unified Multimodal Models Taylor Representations for Model-Free RL in Networked MDPs CodeForge-MA: Execution-Verified Multi-Agent Learning with Language-Conditioned LoRA for Multilingual Code Generation DelegationBench: Measuring When AI Agents Should Ask Before Acting SALUS: Automated Auditing of NL-to-SQL Benchmarks through Weak Supervision of Multi-Agent Output G-CARB: Graph-Localized Conformal Agent Risk Budget for Compositional Harm Lend Me Your Eyes: Instruction-Aware Text Embeddings via Attention Relay Moment-Accurate Gaussian Mixtures for Constant-Step Stochastic Approximation Gaussian Limits for SGD Without Stationary Moments Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation Causal Lag Structure Discovery in Confounded Time Series via Orthogonalized Adaptive Estimation Visual Grounding Safety in Vision-Language Models Spacecraft Rendezvous Trajectory Generation with Modular Constraints via Diffusion Model Composition An evolutionary origin of collective decision making in humans and machines RESOLVE: Language-Agnostic Validation of GPU Kernels Through Testing, Reduction, and Proof Two-Sample Testing via Path-based Inference Errors of LLM-Assisted Literature Retrieval in Environmental Science: A Comparison Study of Abstract versus Full-text Based Prompts Retrieval-Based In-Context Learning: A Domain Adaptation Framework Relational Synthesis: Structure-Mediated Concatenative Synthesis for Foley and Retrieval-Augmented Audio Generation Isotropic Gaussian Processes Improve Vanilla Bayesian Optimization in High Dimensions Agentic-ZTA: A Multi-Agent Architecture for Autonomous Zero Trust Enforcement Dimension-Free Decentralized Nonsmooth Nonconvex Stochastic Optimization A Testable Theory of Atomic Features Protocol-Sensitive Evaluation of Log Anomaly Detection: Component Costs and Target-Access Sensitivity on HDFS and BGL Online AutoML: Evaluating Poisoning Attacks on Adversarial Training Defense Strategy in IoT Networks Transporting Unsecured Stacked Payloads with a Quadrupedal Robot via Multi-Objective Reinforcement Learning Request Order Matters: Cache-History Sensitivity in Selective KV-Cache Reuse for Rolling Agents Adaptive-Shot Hybrid Quantum Anomaly Detection for Tactile Internet Security: Reliability-Aware Measurement Allocation Under Resource Constraints AnchorPose for Geometry-Aware MOF Assembly through Meso-Grained Pose Generation PhaseMatcher: Autoregressive Phase-Set Identification with Spectral Decomposition Finite-Sample Distribution Theory and Efficient Large-Scale Inference for Online Quantile Regression Learning to Learn a Language Mulligan: Performance-Guided Data Collection for Efficient On-Robot Learning Fitting Vision Adapters at Frontier Scales Incentive Alignment in Online Experimentation Combining Improvements in Uplink AI-RAN How (and How Not) to Use Data Augmentation in VLA Post-Training P3: Persistent Particle Planning for Constrained Diffusion Control Polynomial neural surrogates for designing photonic quantum experiments How well do routinely collected demographic and clinical variables aid point-of-care lung ultrasound TB classification Vision Transformer Ensembles for Panoramic Street Segmentation Attention Tax, Handoff Tax: A Stylised Model of When Multi-Agent LLM Systems Help Last-Iterate Convergence Rate of Normalized Gradient Descent under H\"older Smoothness Quantum data loading from the learned shared structure of real signals Gaussian Universality and Its Breakdown in Tensor-Network Machine Learning On Impact of Loss Function on the Performance of Neural Networks in Melanoma Diagnosis Impact of Data Augmentation on Confidence Calibration in Melanoma Classification Reinforcement Learning-Based Optimization of Workload-Aware Power Delivery Networks What Does It Cost to Simulate a Quantum Sentence Classifier? An Energy and Compute Perspective on Near-Term QNLP Do Small Language Models Learn to Negotiate? A Controlled Scaling Study of RL-Trained Sellers APOD: reasoning-guided agentic population ordinary differential equation discovery for pharmacological digital twins AUTOPILOT An Advanced Perception, Localization and Path Planning Techniques for Autonomous Vehicles Using YOLOv7 and MiDaS Encoded but Not in Control: Revealing the Grounding Gap in Vision-Language Robot Policies Evolving in Thought Space: Training a Small Model at Test Time Unlocks Better Discoveries From Abusive Language Classification to Sequence Labeling Identification GAMBIT: Learning to Plan Continuous Multi-Robot Trajectories Sharp dimensional analysis of midpoint methods for Langevin sampling Watermarking: from Impossibility to Auditable Compliance Readout Blindness: VLM Scores Miss the Spatial Direction Their Frozen Encoders Retain Dual Variational Autoencoders for Efficient Sim-to-Real Transfer in Low-Cost Robotic Navigation IGA-KAN: Isogeometric Analysis with Physics-Informed Closed-Form Kolmogorov-Arnold Networks for Forward and Inverse PDEs Latent Similarity Gaussian Processes: A Theory-Grounded Approach to Personalized Suicide-Risk Forecasting for Clinical Decision-Support Ontology Concept Overlap as a Training Signal: Knowledge-Grounded Reinforcement Learning for Clinical Question Answering Correct Verdicts, Flawed Reasoning: Structured Auditing of LLM-based Vulnerability Reasoning Environmental sensor readings in two crop disease image datasets identify the session in which each image was taken RAISED: Self-Distillation for Robustness to Prompt Injection in LLM Agents Valid Stopping in Adaptive Generator-Verifier Loops KESurv: A Kernel Ensemble Method for Patient-Specific Survival Prediction NeuroCBIR: A Fast and Accurate Image Retrieval System for Whole-Brain and Region-Specific MRI SOL: Measuring Gaps between Text Distributions by Double Sliced Wasserstein Metrics ANT: A Multi-Granularity Network Traffic Dataset and Benchmark for Agents Behavior Auditing Anatomy of LLM Sycophancy: What a Flip Rate Hides MIRT: Transformers for Truthful Generative Auctions with Whole-feed Permutation Externalities Mind the Execution Gap: Action-Semantic Mismatch in World-Model Control The Surrogate Is Not the Reward: Post-Surrogate Primary-Outcome Acquisition in Contextual Bandits RealtimeWAM: One-Step Asynchronous World Action Models On the Cardinality of Optimal Representations in the Binary-Source Information Bottleneck Inverse Cross-spectral Neural Networks for Multivariate Time Series Representation-Space MMD for Diffusion Language Models Revisiting Label-Free Speaker Embedding Enhancement with vMF Profile Likelihood A Solvable Model of Adaptive Learning Rate Rescaling: Acceleration, Stability & Scaling Reading the Mood: Emotion-Guided Book-to-Music Recommendation via CGANs and LLMs Out-of-control Hamiltonian Learning ufakzeka-karar: An Open Turkish Typed-Decision Model with Order-Invariant Option Scoring BazaarBench: Delegation Safety in Decentralized C2C Marketplaces Run by LLM Agents Singular parameters and missing limits in neural PDE solvers On Learning Optimal Corners in Orthogonal Partially Observable Cooperative Guard Art Galleries IdeaLens: Detecting AI Ideas in Long-form Writing How to scale your HEP ML models: A recipe for robust architecture comparisons at scale A Response Theory Probe for Learned Stochastic AI Simulators, Tested on Lorenz-63 Finding Gaussian Structure in Bosonic States Paradee: Distilling Kokoro-82M into an 8M-Parameter Single-Voice Text-to-Speech Model CLIFT: Conformal Self-Verification for Web Agent Training and Test-Time Scaling MemPilot: Orchestrating On-Demand Multimodal Memory Curation for LLM Agents Direct Intermediate Initialization for Tilted Diffusion Samplers Learning to Read the Contextual Tokens in Diffusion Transformers Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries Understanding Certified Training with Interval Bound Propagation CHAOSMINING: Benchmarking Post-Hoc Attribution with Sparse Informative Features in High Dimensions Online Linear Programming with Batching Efficient Hierarchical Transformers for Representing Log Data HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation Nonlinear Equilibrium Transitions in a Potential Game Model for Federated Learning How Vulnerable Is My Learned Policy? Universal Adversarial Perturbation Attacks On Modern Behavior Cloning Policies 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities Ordinary Least Squares as an Attention Mechanism KITINet: KInetic Theory Inspired Inter-Channel Information Exchange for Residual Networks Distributionally Robust Deep Q-Learning Learning Interpretable Differentiable Logic Networks for Tabular Regression Anomaly Detection and Generation with Diffusion Models: A Survey Online Conformal Abstention Under Adversarial Bandit Feedback Cooperative Sheaf Neural Networks EduAlign: Aligning Educational LLMs for Helpfulness, Personalization, and Creativity OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection Disentangling Bias by Modeling Intra- and Inter-modal Causal Attention for Multimodal Sentiment Analysis Grad-CAM for Visualizing Attention Regions of PCA and SVM Layers in Convolutional Neural Networks FedUHD: Unsupervised Federated Learning using In-Memory Hyperdimensional Computing EEGDM: Label-Efficient EEG Representation Learning with Generative Diffusion Model Minority Collective Action for User-Side Fairness Learning Interpretable Differentiable Logic Networks for Time-Series Classification Physics-informed GNN for medium-high voltage AC power flow with edge-aware attention and line search correction operator PATCH: Learnable Tile-level Hybrid Sparsity for LLMs GeoFunFlow: Geometric function flow matching for joint probabilistic inference of physical fields and complex geometries Bayesian Distributional Models of Executive Functioning Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Neural Bayesian Filtering Climate Surrogates for Scalable Multi-Agent Reinforcement Learning: A Case Study with CICERO-SCM Demystifying Hybrid Thinking: Can LLMs Truly Switch Between Think and No-Think? Spectral Analysis of Molecular Features: When Richer Features Do Not Guarantee Better Generalization A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning Learning Granger Causality under Latent Confounding via Intervention-Induced Heterogeneity DeNoise: Learning Robust Graph Representations for Unsupervised Graph-Level Anomaly Detection ProDER: A Continual Learning Approach for Fault Classification and Localization in Evolving Smart Grids Scalable Decision Making for Games of Imperfect Information Global Optimization on Graph-Structured Data via Gaussian Processes with Spectral Representations Gradient descent dynamics for deep equilibrium models EfficientXpert: Efficient Domain Adaptation for Large Language Models via Propagation-Aware Pruning Mixed Data Clustering Survey and Challenges The Universal Weight Subspace Hypothesis Spectral Embedding via Chebyshev Bases for Robust DeepONet Approximation Towards Optimal Valve Prescription for Transcatheter Aortic Valve Replacement (TAVR) Surgery: A Machine Learning Approach Contrastive Time Series Forecasting with Anomalies Systematic Hazard Sampling: Minimal-Variance Inference for Discrete Diffusion and Flow Models Amortized Acquisition Optimization for Bayesian Optimization with Variational Mutual Information FlashMoE: Reducing SSD I/O Bottlenecks via ML-Based Cache Replacement for Mixture-of-Experts Inference on Edge Devices Stability and Generalization of Stochastic Nonconvex Optimization under Heavy-Tailed Noise: From Gradient Norm to Goldstein Stationarity Missing-Data-Induced Phase Transitions in Spectral Partial Least Squares Learning-to-Defer in Non-Stationary Time Series via Switching State-Space Models Lethe: Principled Dual-Stream Update for Persistent Knowledge Erasure in Federated Unlearning PlatoLTL: Scaling LTL-Guided Multi-Task RL Divide-and-Conquer CoT: RL for Reducing Latency via Parallel Reasoning Quantum Model Parallelism for MRI-Based Classification of Alzheimer's Disease Stages STILL: Selecting Tokens for Intra-Layer Hybrid Attention to Linearize LLMs Routing-Aware Safety Alignment for Mixture-of-Experts Models Multi-Level Strategic Classification: Incentivizing Improvement through Promotion and Relegation Dynamics Same Pieces, Different Servers: A Tetris Benchmark for AI Agents as Served Dissecting Quantization Error: A Concentration-Alignment Perspective DyQ-VLA: Temporal-Dynamic-Aware Quantization for Embodied Vision-Language-Action Models Physics-informed neural operator for parametric phase-field modelling of interfacial degradation and microstructural evolution PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers Aligning the Query Space: Greedy Information Projection for Language Model Data Selection DeepStock: Reinforcement Learning with Policy Regularizations for Inventory Management NASimJax: A GPU-Accelerated Policy Learning Framework for Penetration Testing High dimensional theory of two-phase optimizers Pre-Deployment Complexity Estimation for Federated Perception Systems GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes Sven: Singular Value Descent as a Computationally Efficient Natural Gradient Method Tensor-based computation of the Koopman generator via operator logarithm TempusBench: An Evaluation Framework for Time-Series Forecasting Wasserstein Formulation of Reinforcement Learning. An Optimal Transport Perspective on Policy Optimization Chronax: A Jax Library for Forecasting and Conformal Inference Untrained CNNs Exceed Backpropagation in V1 Alignment at High Evaluation Resolution: A Systematic RSA Comparison of Four Learning Rules Against Human fMRI Same Methods, Different Rankings: Trainable Depth as an Evaluation Variable in Continual Learning SPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series Inpainting Perturb and Correct: Post-Hoc Ensembles using Affine Redundancy Bringing Order to Asynchronous SGD: Towards Optimality under Data-Dependent Delays with Momentum Two Calls, Two Moments, and the Vote-Accuracy Curve of Repeated LLM Inference Learning to Theorize the World from Observation Adaptive Inverted-Index Routing for Granular Mixtures-of-Experts When Can Voting Help, Hurt, or Change Course? Exact Structure of Binary Test-Time Aggregation Is Escalation Worth It? On the Depth of LLM Cascades ProtoSSL: Self-Supervised Pretraining and Downstream Transfer for Projection-Based Prototype Models PLOT: Progressive Localization via Optimal Transport in Neural Causal Abstraction Mask2Cause: Temporal Causal Discovery Beyond Causality in Mean Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States TIDES: Implicit Time-Awareness in Selective State Space Models Twincher: Bijective Representation Learning for Robust Inversion of Continuous Systems A Novel Schur-Decomposition-Based Weight Projection Method for Stable State-Space Neural-Network Architectures On the Stability of Growth in Structural Plasticity: Forward-Active yet Backward-Starved GraViti: Graph-Level Variational Autoencoders with Relaxed Permutation Invariance An Assessment of Human vs. Model Uncertainty in Soft-Label Learning and Calibration Transcoders Trace Visual Grounding and Hallucinations in Vision-Language Models Sample-wise Targeted Adversarial Attacks on Test-time Adaptation A PAC-Bayesian View of Generalisation for Physics-Informed Machine Learning Function-Valued Causal Influence in Nonlinear Time Series SPHERE-JEPA: Spherical Prediction with Homogeneous Embeddings The Model Shape Behind Scaling Laws: A Gradient Superposition Perspective Zero Collapse: A Failure Mode of Policy Gradient Methods in Discontinuous Reward Environments Trajectory-Aware Best-Arm Identification for Local Search Allocation in Bayesian Optimization and Beyond Lightweight CNN-Based Anomaly Detection for High Voltage Converter Modulators in the Spallation Neutron Source GEM: Geometric Erasure by Contrastive Velocity Matching in Rectified Flows Dialectics of Alignment: Harnessing Unsafe Knowledge for Dynamic Safety Routing A Goal-Set Characterization of Task Composition in the Boolean Task Algebra Flash-WAM: Modality-Aware Distillation for World Action Models LEAF: Growing Trees Without Branching for Speech-Aware Large Language Model Post-Training A Unifying View of Attention Sinks: From Mechanisms to Architectural Interventions Ambiguous Strategic Classification Gefen: Optimized Stochastic Optimizer Learning the Context of Errors: Black-Box Online Adaptation of Time Series Foundation Models Your Privacy My Cloak: Backdoor Attacks on Differentially Private Federated Learning Machine learning modeling of hit-into-play probability and quantification of pitch sequence effects Score Approximation for Diffusion Models on Arbitrary Low-Dimensional Structures GLACIER: Rethinking Mass Spectrum Prediction as an Object Detection Problem Anchored or Drifting: What Recursive Self-Generation Reveals About Training Data Safe Inference-Time Alignment via Lagrangian Reward Augmentation Geometric Self-Distillation for Reasoning Generalization NFTR: From Provable Mode-Averaging to Geodesic Subgoal Selection in Offline Goal-Conditioned RL Exact and Certified Data Shapley for Weighted Nearest Neighbor Regression PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-Tuning The Label Complexity of Useful Class-Conditional Prediction Sets under Distribution Shift The Dynamics of Discoverability: How Trajectories and Priors Shape Equation Recovery In-Context Time Series Classification with Random Convolutional Features How Much Can a LoRA Adapter Memorize? Measuring Adapter Capacity in Bits Experimentation and Commitment under Reward Shifts Rethinking the Effectiveness of Contrastive Decoding in Mitigating Hallucinations in MLLMs Training nGPT An Identifiability Theory of Masked Prediction: Mode Blindness and Mask Schedules ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces CLEARMIND: Closed-Form Laplacian Embeddings of Arakelov-Green Resistance for Morphological Intrinsic Neuronal Distances Which Decisions Low-Bit Quantization Breaks, and How to Predict Them Constrained Graph Diffusion for Mixed Integer Optimization Designing Reinforcement Learning for Diffusion Models: A Unified Path-Space View Learn What's Left, Not What's Mastered: Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization Cone Rayleigh Levels: Finite Perturbations and Certified Control DCCQ: From Ordered Bernoulli Levels to Critical-Line Geometry: Integer Quantization, Bernoulli Residual Phase, and Prime-Power Spectra Physics-Informed Deep Learning for False Ventricular Tachycardia Alarm Reduction in the ICU From Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function Calls Online Inverse Integer Linear Optimization via Small-Gradient Skipping: Constant Regret and Finite Mistakes DR-LabStack: Design and Implementation of a Clinician-Facing Web System for Diabetic Retinopathy Prediction RiVaT-Fuse: Reliability-Calibrated Variational Tensor Fusion with Matrix-Valued Trust for Multimodal Prediction under Modality Uncertainty Granularity-Adaptive Credit Assignment for Long-Horizon LLM Agent Reinforcement Learning A Measured Communication-Quality Frontier for Federated LoRA Fine-Tuning with Adaptive Phase-Switching Data-Free On-Policy Distillation: How Far Can We Go Without External Data? Hybrid coupling with numerics-informed neural networks and the overlapping Schwarz alternating method Storing Is Not Remembering: LSTM-UT and Bounded Gated Memory for Looped Transformers LumoTree: Path-Parallel Speculative Verification for Hybrid Language Models SupportCal: Label-Free Calibration of Post-Trained LLMs via Reference Support and Corroboration RRSI: Regularized Recursive Self-Improvement of Agent Harnesses Efficient Cost-Aware LLM Evaluation via Bayesian Bandit Gittins Indices On the SoS Certifiability of Log-Concave Distributions GyroNovo: Error-Guided Fragment Imputation with Mass-Aware Attention for De Novo Peptide Sequencing EPOC: Endpoint-Preserving Online Correction With Compressed Residual State for Multi-Horizon Time Series Forecasting The Linear Representation Hypothesis for Vision-Language-Action Models Trust Guided Decision Transformer Replay in the Silent Degrees of Freedom: Continual Learning Without an Offline Phase Model-Agnostic Online Certificate-Driven Calibration for Time Series Forecasting Under Distribution Shift Traceprop: Training Data Attribution in a Single Pass Activation Flow: Manufacturing Activations for Steering Timestep Weighting: A Hidden Key to Effective ELBO-Based Flow-Matching RL When Does Backpropagating Through Policy Memory Matter? Physical Credit, Optimizer Updates, and Observability Collaborative Synthetic Data for Privacy-Preserving Financial Fraud Detection Across Organizational Silos Oracle-Efficient Online Classification with Stochastic Inputs and Adversarial Outputs Finite Probes Suffice: Identifiability and Universality for Weight-Space Learning Loop Dropout: Regularizing Shared Updates in Looped Language Models Predicting Delayed Train Trajectories on the Dutch Railway Network: Explainable AI Evaluation of Topological, Operational and Weather Features with Tree Based Ensemble Methods LionMuon: Alternating Spectral and Sign Descent for Efficient Training Know Thyself, Teach Thyself: Internal Information Flow for Selective Self-Distillation Learning Macroscopic Dynamics without Reconstructing Microscopic States Probability Contracts: Accuracy, Coherence, and Decisions Across LLM Interfaces Counterfactual Probing for Parallel Unmasking with Hidden Forest Structure Distilling Diffusion Score Discrepancy for Efficient Training Data Attribution Characterizing High Bandwidth Flash for LLM Serving Right Answer, Wrong Mechanism: Detecting Pernicious Divergence in Causal Interventions Wavelet Flow Matching for Time Series T-ARC: Topology-Aware Randomized Clustering via Distributionally Robust Stochastic Block Models Can Domain Generalization be Guaranteed in Small-Sample Learning? Towards Better Exploration in Sequential Test-Time Scaling Free Everywhere, Exact on Trees: PPO's Dropped Correction Buys Sample Efficiency Under Aggressive Reuse Reliability-Aware Checkpoint Selection for Domain Generalization Nous: Learning and Certifying Memory Decisions Before Source Calibration Four Ways to Grow a Classifier and Why One of Them Cannot Learn The Life Cycle of a Massive Activation: Stochastic Birth, Weight-Decay-Driven Growth, and Competitive Consolidation SHARPO: Segment-Level Credit Assignment for Agentic Reinforcement Learning Variational Streaming Flow: Probabilistic Forecasting in Physical Time Kernelized Activation Steering Port-Hamiltonian Neural Networks for Systems with Multiple Asymptotically Stable Equilibria Beyond Demographic Balance: Multi-Metric and Intersectional Evaluation of Fairness in MIMIC-IV Mortality Prediction pCoMole: Pareto-Constrained Molecule Editing with Discrete Flows Learning PDE Dynamics between Submanifolds Using Green's Observation Operators Removing spurious minima for planar features by skip connections Context-Tower Conversion Preserves Generation While Freezing Retains Knowledge: Low-Budget AR-to-Diffusion Conversion of MoE LLMs SCAD: Structured Credit Assignment and Distillation for Long-Horizon Agents Personal VAD: Speaker-Conditioned Voice Activity Detection A Unifying Perspective on Descent Directions for Constrained Minimization and Switching Criteria Textual Echo Cancellation Understanding over-squashing and bottlenecks on graphs via curvature GFPack++: Attention-Driven Gradient Fields for Optimizing 2D Irregular Packing Answer Set Networks: Casting Answer Set Programming into Deep Learning Convergence of Statistical Estimators via Mutual Information Bounds MIND: Microstructure INverse Design with Generative Hybrid Neural Representation Linear Bandits beyond Inner Product Spaces, the case of Bandit Optimal Transport Transformer Based Time-Series Forecasting for Stock Backdoor Attacks on Discrete Graph Diffusion Models MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation Deep Fair Learning: Task-Aware Fair Representations via Joint Distance-Covariance Regularization Erased but Not Forgotten: How Backdoors Compromise Concept Erasure Graph-Based Floor Separation Using Node Embeddings and Clustering of WiFi Trajectories Using Echo-State Networks to Reproduce Rare Events in Chaotic Systems Studying the Soupability of Documents in State Space Models Logit-Gap Steering: A Forward-Pass Diagnostic for Alignment Robustness Enhancing Knowledge Tracing through Leakage-Free and Recency-Aware Embeddings RFG: Self-Improving Diffusion Large Language Models with Reward-Free Guidance Uniform-in-time convergence bounds for Persistent Contrastive Divergence algorithms Inverse Mixed-Integer Programming: Learning Constraints then Objective Functions Flip-Flop Consistency: Unsupervised Training for Robustness to Prompt Perturbations in LLMs Multi-Marginal Schr\"odinger Bridge Matching Quantum Information Ordering and Differential Privacy Two Americas of Well-Being: Divergent Rural-Urban Patterns of Life Satisfaction and Happiness from 2.6 B Social Media Posts Improving Forecasts of Suicide Attempts for Patients with Little Data PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Fine-Grained Caching for Diffusion Transformers with Few Calibration Conditions Revisiting the Broken Symmetry Phase of Solid Hydrogen: A Neural Network Variational Monte Carlo Study Critical Points of Degenerate Metrics on Algebraic Varieties: A Tale of Overparametrization Towards causal effect estimation with learned instrument representations Greedy Multi-Path Block Verification for Faster Decoding in Speculative Sampling Understanding Gap-Dependent Regret for Optimism-Based Reinforcement Learning with Linear Function Approximation RepoLaunch: Automating Build and Management of Code Repositories across Languages and Platforms DynaTokens: Controlling Token Dynamics for Continual Video-Language Understanding MDKeyChunker: What Does One LLM Call per Chunk Buy for Markdown Retrieval? The Value of Information in Resource-Constrained Pricing Planning for Change: Reinforcement Learning Combined with Bounded Extremum Seeking for Robotic Control under Distribution Shift EXHIB: A Benchmark for Realistic and Diverse Evaluation of Function Similarity in the Wild $\pi^2$: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models Learning Over-Relaxation Policies for ADMM with Convergence Guarantees On the Influence of the Feature Computation Budget on Per-Instance Algorithm Selection for Black-Box Optimization Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems Implicit Target Shift in Online Learning: Characterization and Correction Mutual Information Optimal Density Control of Linear Systems and Generalized Schr\"{o}dinger Bridges with Reference Refinement Debiasing Message Passing to Mitigate Popularity Bias in GNN-based Collaborative Filtering An Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing Analog RF Computing: A New Paradigm for Energy-Efficient Edge AI Over MU-MIMO Systems Text Knows What, Tables Know When: Clinical Timeline Reconstruction via Retrieval-Augmented Multimodal Alignment CompoSE: Compositional Synthesis and Editing of 3D Shapes via Part-Aware Control TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization The TIME Machine: On The Power of Motion for Efficient Perception Measuring the Depth of LLM Unlearning via Activation Patching PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting vSV-ViT: Variable-size SuperVertex Vision Transformer for Cortical Surface Learning in Alzheimer's Disease Dr-CiK: A Benchmark testing Deep Research for Context-Aided Forecasting SWIM: Compact Environment Representation for Reinforcement Learning Human Swimming Characterizing How Complex Agentic AI Systems Handle General Tasks: A Trace-Based Simulation Study Machine Learning for Coding Retail Product Names to Consumer-Price Categories: A Rule-plus-Bag-of-Words Pipeline with Reliability-Weighted Human-in-the-Loop Labeling All you need to break LLMs are Black-Box, Adapting, Efficient, Transferable, Harmful, Applicable ... Attacks Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on Vehicle Routing Problems STREAM: Stochastic Riemannian Flow Matching with Anisotropic Decoder for Digital Histopathology Image Generation Function-Vector Heads Are Two Populations: Writers and Cancellers in In-Context Learning CIAware-Bench: Benchmarking Control Intervention Awareness Across Frontier LLMs Modelling magnetic material properties with uncertainty-aware neural networks Quantum Statistical Memory Advantage Reveals Predictive Structure in Chaotic Invariant Measures Learning Topological Representations of Protein Structure and Dynamics REFLEX: Reflective Evolution from LLM Experience Task-Error Residual Learning for Real-Robot Five-Ball Juggling Capability Provenance in Language Models: A Case Study in Social Reasoning Multi-Level Distributional Entropy from Flow Summary Statistics for Explainable Network Intrusion Detection Message Passing Enables Efficient Reasoning Office Comprehension Benchmark Mask-supervised Object-centric Representation Learning with LeJEPA Optimal Stabilizer Testing and Learning with Limited Quantum Memory Mask2Real-WM: Controllable Dexterous World Models via Segmentation Masks as a Sim-to-Real Bridge LP-SFT: Keeping Plausible Alternatives Alive in Supervised Fine-Tuning Co-LMLM: Continuous-Query Limited Memory Language Models Can a Language Model Learn Facts Continually in Its Weights? SLPO: Scaling Latent Reasoning via a Surrogate Policy Medical foundation models converge less under label supervision DART: A Degradation-Aware Recurrent Transformer for Archival Film Restoration Comparison of a Parametric Physics-Informed Neural Network and a Tensorial Reduced-Order Model for the Shallow-Water Dam-Break Problem Cost-Effective Automated Judging of Natural-Language Mathematical Proofs GraRe: Grasp Candidate Re-Ranking for Frozen 6-DoF Grasp Detectors MemArena: An Ego-Centric Benchmark for On-Device Agentic Personal Memory Assistants at Scale Evaluation Resolution Confounds Learning-Rule Comparisons in Model-Brain RSA of Early Visual Cortex Difference-of-Convex Regularization for Graph Learning by Differentiable Programming Composing Learned Robot Behaviors with Temporal Logic at Runtime Does Fine-Tuning Undo Activation Steering? Behavioural Recovery Without Weight-Edit Reversal Towards Reliable, Generalizable, and Specific In-Context Knowledge Editing via Multi-Objective Reinforcement Learning Pointing the Way, Hiding the Destination: Practical Private Dense Retrieval at Scale RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requests Sliding-window beats linear attention The Hallucination Signal Is a Mean Shift: Why Simple Probes Suffice The PUR-1 Cyber-Physical Digital Twin Capability-Gated Language Models: Security Composes, Utility Does Not Can LLMs Discover Scientific Laws in Real and Parallel Worlds? Spruce: Scalable Private Outsourced Retrieval Using Compact Embeddings Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning Optimal Low-Rank Quantum State Tomography with Bounded-Sample Joint Measurements TriCalRAG: A Three-Strategy, Retrieval-Augmented Benchmark for On-Premise LLM-Based Root Cause Analysis in AIOps Bias-Induced Crossover in Absolute Capacity of Dense Associative Memory Stop Removing Stopwords: How an Inherited Preprocessing Default Distorts Legal Text-as-Data Exact Regret Frontiers and Externality Scheduling in Centralized Serial-Dictatorship Bandits Automated Physics-Informed Neural-Networks-Based Calibration of Highly Segmented Silicon Telescopes Fragment-Aware Vision Transformers for Fresco-Fragment Style Classification Graph Learning for Cross-Subject, Cross-Population EEG Emotion Decoding and Model-Derived Spatial-Spectral Neural Signatures Stochastic Flow Map for Count Data PredActor: Predictive Action Diffusion for Steerable Onboard Humanoid Control FFM-CP: Cross-Backbone Fusion of Vision-Language Foundation Models for Few-Shot Computational Pathology Technical Manual for Toolkit for Confidence-Corpus Consistency, Corpus Absorption and Rule Learning via Fine-Tuning on a Fabricated Corpus SAGE: Semantic Audio Generative Encoder Counterfactual Rollout Replay: Forkable Environments as Free Process Rewards for Software Engineering Agents Curating Merchant-Matching Training Data with Two Confidence-Gated Local LLM Judges Jev in Medicine: A Benchmark Evaluation ReplayLens: Auditing Agents' Use of Outcomes RoPE is Dead, Long Live RoPE: Towards Scalable Data-aware Positional Encodings Into the danger zone: stable extrapolation in high-dimensional function and operator learning Recovering Off-Policy Supervision for Speculative Decoding VOSSA: Voiceprint Optimization for Streaming Speech Architectures Steepest Guidance: A Practical and Principled Approach to Inference-Time Alignment of Flow and Diffusion-based Models False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents Minimax Additive Regression under Unknown Dependent Designs Generalized Geometry Block Proximal Linearized Method for Multiblock Nonconvex and Nonsmooth Optimization Advancing Entropy-Level Credit Assignment in RLVR via Proximal Entropy Policy Optimization Safety of Latent Communication in Multi-Agent Systems PACT: End-to-End Learning of Human Pose, Contacts, and Forces from Video RPTune: Learned Context Curation for LLM Catalog Search MiDShip: Multimodal Dataset of Ship Cargo Hold Structures for Engineering Design Generalization Bounds for Flow-matching Generative Models for Intrinsically Low-dimensional Data Clinical Concept Centers in LLMs Amortized Structured Stochastic Variational Inference for Gaussian Process Latent Variable ModelsArxiv cs.AI
Training Numerical Intelligence via Auto-Diagnosis and Skill Discovery REACT: Physically and Chemically Consistent Reconstruction of Marine Active Tracers Proxy Confidence: Auditing Black-Box LLM Agents with a Surrogate's Log-Probabilities SGAnalog: An End-to-End Circuit Benchmark from Open-Source Silicon Tapeouts MLLMs Fail to Refuse when Using Tools Agentically Retrieval-Augmented Large Language Model Decision-Making for Autonomous Driving Guided by Chinese Philosophical Wisdom LatentQuant: Preserving the Policy-Facing Latent Contract under NVFP4 VAE Quantization ROAR: Unifying Runs across Heterogeneous AI-Driven Research Systems Teaching Agents to Code Reliably Behavioral History Outperforms Descriptions of the Person for LLM Synthetic Personas SkillScriptBench: Benchmarking Self-Evolution of Executable Agent Skill Packages Beyond Markdown Exploration-Preserving Policy Optimization Beyond the Parameter Monolith: Reconstructive Memories, Executable Skills, and Residual Assembly for Language Models A Quantitative Analysis of Graph Representation Strategies for Cyber Attack Detection The Reported Engagement with AI Level (REAL) Rating: A Framework for Disclosing Human-AI Collaboration Agent Policy-Value Audit: Separating Transition Composition from Event Selection in Financial LLM Agents The Cost of a Hop: Benchmarking NLIP and A2A Discrete Diffusion for Large Graph Generation via Structural Candidate Restriction Reinforcement Learning with Comparative Evidence for Social Intelligence Self-Propagating Misalignment in LLM Agents, and Why Auditing or Disabling Memory Is Not Enough Towards Safer Autonomous Driving in an Open World: A Dual-Process Approach The Independence Prior of SAEs Fragments Visual Concepts CUAWright: A Minimal Unified Interface for Digital Agents InvestigationWorlds: An Agentic Environment for Legal Investigation Auditing Pairwise Equivalence Judgments: Self-Critique Effects and Diversity Measurement in Multi-Agent Hypothesis Generation Agentic Cognitive Depth: Operational Criteria for Evaluating LLM Agents SHarP: Saliency-based Pruning of Agent Harnesses Language Model Activations Inhabit Privileged Error-Correcting Basins EvalResearchBench: Can AI Agents Design Their Own Evaluations? Agentic AI with Structured CoT for Enhancing AI's Spatial Intelligence: Visualization and Reasoning of Rotation MemLeak: Cross-User Semantic Leakage in Multi-Tenant AI Agent Memory Asynchronous Is Nearly Free for Evolution Strategies on Long-Horizon Agentic Tasks ALoDLM: Adaptively Looped Diffusion Language Models Fine-Tuning VLM for Enhancing AI's Spatial Intelligence: Understanding 3D and 2D Rotations TCMClinicalReason-Bench: Can Language Models Reason from Pathogenesis to Prescription over Real-World Clinical Cases? On the Steering Dimensionality of Refusal in Language Models Spec2Game: Can LLMs Generate Complete Playable Games from Detailed Specifications? CADForge: Agentic Single-View CAD Reconstruction with Explicit Geometry Reasoning Dense Neuro-Symbolic Reasoning in a Unified Geometry State VIGIL: Verifier-Informed Gated Improvement Loop for Spreadsheet Question Answering LMBuild: Evaluating LLM Agents for Generating Buildable and Functional Structures Language-Conditioned Token and Reasoning Efficiency in Large Language Models: A Paired Cross-Lingual Study Protocol EnvDreamer: Large-Scale Multimodal-to-Environment Generation for Embodied AI MOIRA: Mass-Oriented Indexing with Ragged Attention for Long-Context Decoding From Latent Space to Jacobian Space: Measuring, Evading, and Training Against Safety-Content Accessibility Bidirectional Preference Synthesis: Learning Prompt-Conditioned Preferences from Boundary Failures Suppressing Pressure, Amplifying Evidence: Self-Guided Attention Steering to Mitigate Sycophancy and Stubbornness ShadowMiner v1 - An Experience Report on Implementing and Measuring a Problem-and-Hypothesis Discovery Engine Functionally Equivalent or Not? Graph-Grounded Differential Surrogate Execution for Code Equivalence Do Tool Calls Execute as Intended? Measuring and Repairing Intent-Execution Correspondence in LLM Agents AgentPersonaBench: Benchmarking Persona-Driven User Simulation TrustMed-RL: Long-Horizon Reinforcement Learning for Evidence-Grounded Clinical Diagnosis TimeNet: An Extensible Unified Data Infrastructure for Next-Generation Temporal Foundation Models CORE-RL: Confidence-Oriented Reliability Evaluation of Black-Box Reinforcement Learning Policies Asking Earns Nothing: Scoring the Decision to Act in BFCL Multi-Turn MERCI Cards: An LLM Evaluation and Deployment Framework for High-Stakes Domains What Does a Harness Buy? Tokens, Mostly CRAFT: An Agentic Spreadsheet Form Filling System with Template Awareness RAGrasp: Geometry-Semantic Template Retrieval and Grasp Transfer Causally Fair Generation with Large Language Models Understanding Generative AI Use in Programming MOOCs: The Role of Course Context and Learner Characteristics Trinity: Self-Evolving Vision-Language Models with a Self-Verifier Reactivating Alignment: Defending LLMs from Jailbreaks via Intention-Aware Input-Output Matching Semantic Causal-Factor Inference from Aviation Incident Narratives Using A Variational Autoencoder with Cosine-Similarity-Based Reconstruction InferOpt: Constrained Multi-Objective Search for LLM Inference Configurations VCLMU: Mechanism-Centric Virtual Cell World Modeling for Perturbation Response ManifoldCache: Training-Free Diffusion Acceleration via Constraint Manifold Caching Towards Credible Agent-Based Policy Simulations: Disentangling Opportunities and Preferences in a Financial Inclusion Case Study of Egypt EvoCast: Reliable Autonomous Research Agents for Iterative Forecasting Architecture Evolution Action-Consequence Alignment for Reliable Planning and Self-Improving in Latent World Models Autonomous Structuring of Radiology Reports Across Modalities at Archive Scale Using an Open-Weight Large Language Model Decide, Ask, or Defer: Clinical LLMs under Incomplete Evidence Label Agreement Does Not Measure Authorization $\mathrm{TRIZ}^{a}$: Guiding Agent Evolution from Pattern Recognition to Solution Invention Recursive Improvement of a Differentiable Scientific Software Ecosystem Strong Helps Weak: Directional Cross-Modal Alignment Transfer in Multi-modal LLMs Bounds, Decompositions and Null Behaviour of KRATOS: A Mathematical Specification of a Recognition-Comparability Diagnostic LatentIndex: Cross-Layer Sharing with Layer-Specific Selection for Sparse Attention SEIS: Self-Evolving Inference Systems PermVLA: Factorization Order as a Regularizer for VLA Learning Efficient Neural Surrogates for Linear Radiation Transport on the Lattice and Hohlraum benchmarks A Tropical Geometry View of Forgetting: A Per-Unit Projector for Knowledge-Preserving Fine-Tuning MASBench: Benchmarking LLM-based Multi-Agent Collaboration under Partial Observability When Debate Helps: Proposal Supply and Verification-Aware Readout in Multi-Agent Reasoning RAGStress: A controlled benchmark for evaluating retrieval-augmented generation under knowledge-base degradation Penumbra: Sample-Efficient Adversarial Search for Regulatory Obligations Not Self-Decidable: LLMs Cannot Draw the Boundary of What an Agent Verifier Can Check Learning to Clarify Underspecified Intents Under Limited Interaction PyINE: A Framework for Scalable Elicitation and Oversight via Code Execution Toward a Locally Deployable Agentic Co-Scientist: Small-Model Planning for Early-Stage Drug Discovery Formalizing the Moral Evaluation of Speech Acts: Truthfulness, Lies and Ethical Dilemmas Agentic discovery of blood biomarker from distilled private health records Dynamic Routing as a New Dimension for Test-time Versatility of LLMs When Is Enough Enough in Self-Evolving LLM Systems? Not All Answers Are Contextually Persuadable: Inference Dynamics in Large Language Models under Contextual Influence Do More Modalities Always Help? A Geometric Perspective on Missing-Modality Robustness Pressure, Context, and Machine Self-Control: A Criminological Test of Reward Hacking in Generative AI Models Knowing the Store: What a Memory Backend Must Write Down Before an Agent Can Read It MedImageOSWorld: Benchmarking GUI Agents for Medical Image Consoles Agent Behavior as Code: Efficient and Robust LLM Agents with Programmatic Specifications DICE: Decoupling Capability from Intervention Necessity in LLM Tutoring MemTrace: State-Consistent Memory for Long-Horizon Coding Agents GitSwarm: Decentralized Compounding Inference From Memory to Guide: Spatio-Temporal Composer for Procedural Coding Memory SpecFold: Folding Multi-Branch Redundancy for Faster Speculative Decoding in Diffusion Language Models ForkPilot: Self-Evolving Policy for Retrospective Search in Long-Horizon Agents Self-Evaluating Recursive Agents VideoResearchAgent: Grounded Task Synthesis and Sim-to-Real RL for Open-Web Video Research Monitorability Disposition in Large Reasoning Models Are We Measuring Scientific Intelligence? Rethinking the Evaluation of AI Scientists Zero-Shot Time-Series Question Answering via Decoupled Perception and Reasoning BACAM: Behavior-Aware Continual Agent Merging for Multi-Turn Interaction Runtime Authorization of Self-Generated Subgoals in Long-Horizon Tool-Using AI Agents Do LLMs Understand Sequential Structure? A Controlled Study of Inference and Generation CIPO: Counterfactual Imagination Policy Optimization for Adaptive Tool Granularity Selection EmoRSS: Mitigating Emotion-Induced Over-Refusal in Large Language Models How corner is a corner case? Percentile control for highway scenario generation EVISKILL: Grounding Skill Evolution in Replayable Evidence CI-JEPA: A Counterfactual Analysis of Latent Representations in Joint-Embedding Predictive Architectures for Self-Supervised Learning Why, Where, How: Taxonomy-guided Error Grounding for Code Repair in NL2SQL SharpDraft: Accelerating Long-Context Speculative Decoding with Cardinality-Aware Query Scaling LexiHorizon: Stabilizing Reinforcement Learning for Long-Horizon Deep Search Memory Canonicalization: A Framework and Benchmark for Cross-Model Drift in Persistent LLM Memory AutoSciBench: Autonomous Benchmark Generation for Evaluating Scientific Agents R1A-PC: Physics-Guided Electromagnetic Inversion of Three-Dimensional Human Point Clouds in Complex Static Environments Beyond Instruction Following: Learning Grounded Skill-Following with Skill Contracts Memadapter: Counterfactual Adaptation Against Memory-induced Sycophancy A Safe Action Is Not Enough: Feasible-Future Decoding for Vision-Language-Action Policies CreativeFlow: A One-to-Many Analogical Relation Transfer Method for 3D Asset Generation AECG: Asymmetric Experience Consolidation and Governance In Multi-Agent Systems From Scientific Observations to Mechanisms: Benchmarking Hypothesis Generation by AI Scientists Image Synthesis as an Intermediate for Controllable Time Series Generation Safe Context Switching for Agents in the Wild: Mitigating Subspace Interference via Orthogonal Adaptation Look Before You Leap: Thermodynamic Arbitration of Parametric and Non-Parametric Knowledge in LLM Agents via Self-Regulating Memory Architectures GFGE: Unifying Explainable AI Methods through an Interpretation Framework Learning from imperfect teachers for low-resource acoustic generalization When Agent Context Goes Stale: Incoherence in Volatile Agent Context Fusion is the New Mutation: Bandit-Guided Evolution on Workflow Graphs Readable Before Actionable: Causal Tracing of Indirect Prompt Injection MESH-Harness: Self-Improving Agent Harnesses via Bandit-Guided Compositional Evolution AgentDiscover: Autonomous Discovery with Minimal Search Scaffolding EnGRICH: Enhancing Generative Reward Modeling with Critiques from Humans Learning Field Reconstruction from Incomplete Data by Globally Correcting Local Estimates Sibyl: An Efficient Small-large Model Collaboration Framework for Long-horizon Tasks MMPostTrainBench: Benchmarking Autonomous Research for Multimodal Post-Training CASE: Cost-Aware Stopping for Efficient Long-Video Agents PharmAgent: Constraint-Aware Search with Frozen Language Models for Molecular Optimization TeleTune: Evolving Agent Skills From Offline Telemetry AI Safety via Debate is Compromised by Cognitive Biases Hallucination Across the Reasoning Lifecycle: Interface Visibility, Causal Evidence, and Release Control in Large Reasoning Models Hierarchical Reinforcement Learning with Stable Temporal Abstraction for Language Model Agents CodeForge-MA: Execution-Verified Multi-Agent Learning with Language-Conditioned LoRA for Multilingual Code Generation SkillGATE: Gate-Aware Monte Carlo Tree Search for Skill Retrieval The Functional Structure of Post-Compression Recovery in Low-Rank LLMs What Does Fr\'echet Distance Measure? A Directional Decomposition Have I Scene This Before? Spatially Grounded Conversational Memory for Complex Queries in Egocentric Assistants DelegationBench: Measuring When AI Agents Should Ask Before Acting More Claims, Less Evidence: Bounded Verification of AI-Generated Digital Knowledge Artifacts LifeLong Digital Twin: A Unified Modeling Paradigm and Agent Harness for Event-Driven Lifelong Health State Trajectories Factoriax: A GPU-Accelerated Factorio-Style Simulator for Reinforcement Learning Better Retrieval, Limited Clustering Gains: A Controlled Study of Multilingual Company Entity Resolution DREAM: Dynamic Resolution Assignment For Multimodal Multi-agent Debate A Framework for Automated Multi-Source Satellite Data Analytics and LLM-Based Report Generation The GenAI4IDN Benchmark 3.0 - a Public Tool to Assess Generative AI Tools for the Design of Interactive Digital Narratives Visual Grounding Safety in Vision-Language Models How Should a Prompt Optimizer Spend a Tight Budget? BudgetAPO with Noise-Adaptive Evaluation Do Time-Series QA Systems Read the Time Series? Evidence Use and Reasoning Reliability Toward AI Trustworthiness: Finding Analytically Proven Forward-Invariant Sets for AI-Controlled Systems From Token-Max to Outcome-Max: How You Use AI Determines Its Productivity Second-Order Problem Solving for Recursive Self-Improvement in Formal Verification FreSia: Frequency-Semantic Instantiation and Alignment for Multivariate Time Series Analysis Mining Agent Skills from Production Traces Agentic-ZTA: A Multi-Agent Architecture for Autonomous Zero Trust Enforcement Topology-Conditioned Backdoors: Language Models That Insert Vulnerabilities When They Infer They Are in a Multi-Agent System A Testable Theory of Atomic Features DiMOS: Doob-Guided Inference-Time Multi-Objective Search for Scientific Design Nash Equilibrium Text: A Game-Theoretic Decoding Framework for Text Generation Data-Driven Personas for Survey Simulation: Insights into Simulation Alignment Across Data-Access Regimes Measurement-First Auditing of Agentic Leaderboards: Contamination Susceptibility, Matched-Control Re-evaluation, and Scorer Validation Request Order Matters: Cache-History Sensitivity in Selective KV-Cache Reuse for Rolling Agents MiniCorp: The Last Mile of the AI Agent Firm VERA: Scaling Verifiable Environments for Agentic co-Evolution Process Constitutions and Process Stewards: Towards the Next Generation of BPM for Agentic Organizations OntoInk: Interactive Ontology Visualization, Validation, and Reasoning Grounded Joint-Attention Other-Play for Zero-Shot Coordination RocketAgent: A Long-Horizon Engineering Agent for Multidisciplinary Design of Liquid-Rocket Thrust Chambers Benchmarking Jailbreak Guardrails for Embodied Agents On Impact of Loss Function on the Performance of Neural Networks in Melanoma Diagnosis Impact of Data Augmentation on Confidence Calibration in Melanoma Classification MS-Exam-Gen: Source-Grounded Benchmark Construction for Evaluating LLMs on Textual Multiple Sclerosis MRI Knowledge Auditable Clinical Timeline Reconstruction with Provenance-Aware Evidence Graphs Bridging the Evidence-to-Execution Gap:A Reflective Agent for Multi-Objective Peptide Design Judged Useless, Queried Anyway: Tool-Using Agents Rarely Turn Their Own Evidence Judgments into Stopping Decisions Copies or Sources? Measuring How LLM Aggregators Count Restated Evidence in Multi-Agent Systems Do Small Language Models Learn to Negotiate? A Controlled Scaling Study of RL-Trained Sellers AI-Decision Checkpoints for AI-Augmented Business Process Management: Framework and Educational Instantiation From Papers to Mechanisms: An Evidence-Grounded Knowledge Substrate for Scientific Language Models Evolving in Thought Space: Training a Small Model at Test Time Unlocks Better Discoveries DPNL: A DPLL-based Algorithm for Probabilistic Neurosymbolic Learning Teaching a Minimalist Machine to Discover Recursive Programs for Arithmetic RollPlace: Improving Macro Placement via Monte Carlo Rollout Search CRAFTER: Causality-based Self-adaptation for Autonomous IoT Systems ImproveAnyTask: An Autonomous Post-Training Harness for Iterative Model Self-Improvement GraphDecide: Benchmarking System One Models on Graph Tasks Capability-Driven Self-Evolution of Agent Memory CVIF: A Criticality-Driven Visual Intervention Framework for Geometric Diagram Understanding in MLLMs What Did the Agent Actually Do? Evidence-Grounded Oversight for Long-Horizon Agents From Benchmark to Bench: Can Agents Survive Real-World Drug Discovery? Multimodal Safety Evaluation Should Measure Controllability Beyond Classification Normality Constraint Learning: Adapting Foundation Models for Time Series Anomaly Detection AgentPrivArena: Evaluating and Auditing Real-world AI Agent Privacy GPlaceRL: An Open-Source Graph Reinforcement Learning Framework for Detailed Placement polyview: A Python package for multi-view machine learning You Changed Your Mind, The Model Didn't: Demystifying Intent in Multi-Turn Dialogue ANT: A Multi-Granularity Network Traffic Dataset and Benchmark for Agents Behavior Auditing Proof-Grounded Patient-Specific Clinical Explanations from Knowledge-Graph Reasoning Signature-Based Feature Learning for Human Activity Recognition: A Reproducible Machine Learning Study of Representation, Depth, and Model Choice HERA: Harness-Environment Co-Evolution for Reliable Agentic Abstention DGA-Muon: Decoupled Geometry-Aligned Adaptive Scaling for Muon Mind the Execution Gap: Action-Semantic Mismatch in World-Model Control The Review Lottery: Calibrating an Observational Estimator of Peer-Review Noise (ICLR 2017-2025) Can Agent Harnesses and Inference Engines Hear Each Other? The HEAR Protocol for Agentic LLM Serving FREA: A Multi-Source Expert Benchmark for Reaction Feasibility Verification Collective intelligence through aggregation Language models can notice an impossible engineering problem yet still report it as solved The Pushback Paradox: A Two-Probe Diagnostic for Language Model Compliance Conditional Rank Allocation for Taxonomy-Aware Medical Language Model Adaptation Back to the Future: Rethinking EDA Infrastructure for Agentic Systems in Chip Design Verification TasteVal: Measuring the Experimental Research Taste of AI Systems Against Human Experts BiasFlow: Geometric Monitoring and Backbone Regularization for Spurious Feature Reliance Orchestrating Specialized Agents for Trustworthy Enterprise RAG AI Agent Pull Requests on GitHub: Frequency, Structure, and Merge Conflict Rates Using Process Mining to Generate AI Agents from Software Engineering Process Records Beyond Private Training: The New Landscape of AI Privacy Response Variability and Stability in Human Reasoning Efficient Analog-Initialized Latent Transport for Spatially Coherent Probabilistic Downscaling from Global to Kilometer Scales Logit-Aware MIMO AirComp for Distributed Mixture-of-Experts LLM Inference over Wireless Edge Networks LoRA Adaptation Strength in Aurora-WRF: Trade-offs in Regional Heavy-Rainfall Forecasting Global Evaluation of AI and NWP Precipitation Forecasts During Atmospheric River Events BridgeCast: Bridging Ocean Wave Forecasts to Reanalysis via Flow Matching with Exogenous Variables Do Motion Tokenizers for Co-Speech Gesture Generation Encode Gesture Semantics? OceanMind: A multi-agent AI system for ocean diagnosis ProsaBuddy: Assisting Mechanized Real-Time Schedulability Analysis with LLM-based Agents WAMJET: A Harness for World Action Model Acceleration From Requirements to Attack Trees: Grounded LLM Agents for Design-Time Security Review The Score Is Not the Structure: Brain Alignment and Cross-Lingual Transfer Distribution Matching Evolutionary Algorithms for Rare Event Sampling SYNLAT: Syntax-Aligned Text-Latent Compression for Chain-of-Thought Reasoning Beware EviLLM: Enabling Vulnerability Injection via Large Language Models Retrieval-Centric Deep Learning in Growing Nonparametric Neural Networks GOTT: Object-centric Dexterous Manipulation with a Reusable Cross-Embodiment Primitive Streaming Multi-Track Timeline Control for 3D Human Motion Generation A Step Towards Forgetting: Optimiser History and the Loss of Answer Mass An Executable Benchmark for LLM-Based HLS Repair:Design Complexity and Repair Underconstraint Solving VeriContest with a Lean-Backed Rust Verifier Selective Backpropagation for Efficient Few-Shot Class-Incremental Learning Slaying the Hydra: Interaction-Aware Circuit Discovery in Language Models MAGEFormer: Learning Metric-Consistent Representations for Anisotropic CT Segmentation Reward-DAgger: Robot-Gated Interactive Imitation Learning with General-Purpose Progress-Based Reward Models A study on human-agent teaming through spoken interaction: the impact of human individual traits and agent characteristics AEGIS: Differentiable Mars Climate Model with Neural Closures Dependable AI-Assisted Engineering: A Formal Framework for AI Participation and Assurance in Safety-Critical Workflows DUET: Co-Evolving Solver and Grader Agents Robust blind unmixing: A geometric approach to overcoming basis variation SEER: Self-Evolving Event Reasoning and Retrieval for Time Series Forecasting Agent Reliability Profiles in Financial Services Representational Control over Self-Report & Behavior Coherence in LLM Risk-Taking PB-GRPO: Learning Socially Adaptive LLM Agents from Persona-Driven Simulation with Preference-Batched GRPO Agentic Resource Allocation for Batch Multi-Objective Bayesian Optimization in Autonomous Materials Discovery Dual-Scale Relational Graph Transformers for Ecosystem-Aware Fraud Detection Trajectory-Derived Confidence for Reliable, Resource-Aware Clinical Text-to-SQL Agents How RL Reshapes LLM Reasoning: Transferability, Coverage, and Scaling Laws Language Model Fingerprinting Requires Rethinking Watermark Teachers Risk-Calibrated Proposal Transport for Finite-Particle Diffusion Steering Clean: Second-order LLM Training at Linear Memory Cost via Nystr\"om Sketching CurveCodec 2: Skeleton-agnostic animation compression with a learned entropy model FTD-GNO: Memory-Efficient Graph Neural Operators through Functional Tensor Decomposition of the Kernel Adaptive Operator Selection in Bilevel Large Neighborhood Search for Electric Autonomous Dial-a-Ride Problem under Uncertainty Attention-Based Surface Representation Learning for Robot State Prediction and Open-Ended Surface Classification Benchmarking Psychological Dynamics in Generative Agents Playing social deduction games with reinforcement fine-tuned large language models AI-Enabled Quality Assurance for Multiple-Choice Assessment Items Rethinking Self-Distillation for Multi-Teacher Capability Merging First-Order Steering: Translating Weight Adaptation into Activation Steering CyTReX: Explainable AI-Based Cybersecurity Threat Reasoning Framework for DER Networks Scaling of Wireless Foundation Models via Representation Diversity and Multi-Branch Architectures RRM-GPT: A Framework and Vision for Radio Resource Management Foundation Models Questioning the Questions: Sustaining Self-Evolution in Reasoning Models What to Preserve in Recursive Computation: A Local Predictive Sufficiency Principle GrayShield: Bit-Level Sanitization for Transformer Model Supply-Chain Security System One Models for Wireless Decision-Making:Applications and Performance Evaluation A Bird's-Eye View of Iterative Reward Design Human Behavior-Informed Crash Scenario Generation with Real-World Crash Priors for Autonomous Vehicle Safety Evaluation COPEX: Benchmarking LLM Robustness to Adversarial Context Across Model Context Protocol Layers GlitchPatch: Repairing Glitch Tokens in Frozen Language Models via Local Retokenization XTurnix: Large-Scale Self-Supervised Turn Control through Two-State Binary Decisions Understanding and Mitigating Hallucination Escape in Tool-Using LLM Agents Specific Algorithmic Interpretability of Neural Networks: A Case Study on Textures Maximizing $p$-Mean Social Welfare in the High-Multiplicity Setting: Few Agent Types and Few Item Types MaDeL: Manifold-Decomposed Feature Losses for Generative Modeling AgroGround: Multi-Granularity Grounded Recognition in Agriculture COSMOS: Soft Mechanism Mixtures with Verifiable Routing for Long-Horizon PDE Forecasting Video2World: Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos Guess My Weight: Profiled Side-Channel Recovery of Floating-Point Neural-Network Weights Target-free Latent Safety Alignment Can LLM Agents Automate Reinforcement Learning for Text-to-Speech? Understanding Clustering in Slot Attention via Particle Dynamics Localization Lens for Improving Medical Vision-Language Models EgoExo-Next:Benchmarking Vision-Language Models on Visual-Option Next-State and Cross-View Reasoning Diffusion-Based Stress Testing of Overload Monitoring for Resilient Emergency Cellular Networks Using Internet CDR Proxies Quantifying Collusion Among Autonomous LLM Agents: A Statistical Analysis of the Collusion Wiki Incident Weight Decay and Neuron Condensation: A Three-Stage Analysis of Two-Layer ReLU Networks Cross-Modal Solar Image Synthesis: Adapting the Surya Foundation Model from He I 10830 {\AA} to EUV Translation and Coronal Hole Segmentation Coupling Noisy Pairwise Knowledge to the DAG Posterior for Causal Discovery Only Project Once: Projection-Adaptive Loss for Exact Constraint Satisfaction From Probe Scores to Alarm Policies: Operational Validity of Activation Monitors for Language-Model Agents Variational Quantum Attention for Molecular Graph Learning ConEx: Human-Interpretable Saliency Maps via Concept-Aware Attribution Policy as Data: Replay-Based Policy Dual Averaging via Advantage Regression GS-Codec: A Gaussian-Splatting Bottleneck for Neural Audio Coding RETRACE: From Entangled Repair Histories to Reusable Experience for CI Repair Extracting Persona Subspaces Through Iterative Nullspace Projection For Modulation Neurodiversity-Aware Multimodal Affective Computing for Neurodevelopmental Assessment: From Norm-Referenced Classification to Context-Sensitive Decision Support VoCa: Designing Speech-Canvas Interaction for Voice-Based Conversational Agents Organising Trajectory Evidence for Language-Model Agent Assurance: Fragments, Methods, and the Residual Towards Automatically Pruning Logging Code with Coding Agents: How Far Are We? Knossos and Ariadne: Benchmarking and Learning Complete Diagram Topology Extraction with Vision-Language Models Robot Learning with Visual Predicted Force More Value per Key: Asymmetric Sparse Attention for Faster LLM Decoding EasyClassifier: Honest, Reproducible Machine-Learning Classification for Researchers Who Do Not Program ARISE: Adaptive Agentic Reasoning with Image-grounded Self-Evaluation for Interpretable IBD Assessment Active-DiNTS: Active Differentiable Network Topology Search Separating Decision Time from Decision Quality in the Real-Time Gap of Distilled Deciders: Evidence from a Game and a Conveyor Simulator Viva La Vida: Verification and Accumulation Failures in Multi-Agent Proof Search Cluster Validation Indices as Self-Supervised Objectives for Text Representation Learning PIT-GCL: Protein Interaction using Topological Graph Contrastive Learning Invisible Ink, Visible Lies: How Production Watermarking Causes LLMs to Hallucinate Enhancing Long-Video VLM Embeddings with Query-Aware Streaming Latent Reasoning Greedy Local Learning for Language Model Pretraining: Gaps and Objective Design ResOPD: Tail Residualization for Sparse On-Policy Distillation SFlexRCA: Lightweight, Scalable, and Flexible Root Cause Analysis for IIoT Edge Systems A Systematic Analysis of the Predictive Power of LM Surprisal in Reading Chinese ScopeSAE: Model-Scope Feature Discovery with Interpretable Layer Selection Scaling Verifiable Environments for Long-horizon Work Agents Why Subliminal Learning Needs So Much Data: A Noisy Inverse View through Steering Vector Recovery PreAct-Nav: Agentic Reasoning Before Action for Urban Navigation Complex Agents, Shallow Tests: Demystifying and Enhancing Test Adequacy of Agent Harness in the Wild TSAE: Structured Sparse Autoencoders for Interpreting Time-Series Forecasting Models Assembling Insights for Agentic Machine Learning Engineering Systems DiVeR: Decision-Critical Verifier Learning for VLA Test-Time Scaling D-DOIT: Training-free Adaptation of Discrete Diffusion via Doob's h-Transform A Graph-Based Inspection and Intervention Tool for Assessing Mechanistic Learning in PINNs Software World Models: From Consequence Prediction to Decision Value TempoBridge: Source-Conditioned Flow Matching with Optimal Transport Couplings for Single-Cell Population Transitions A Unified Dynamics Framework for Reinforcement Learning and Classical Control of a Six-DOF Pipeline-Tracking ROV in NVIDIA Isaac Sim EDISCO: Equivariant DIScrete Diffusion for Euclidean Combinatorial Optimization Kapture: Capturing Cardiac Dynamics with Koopman-Governed Learning for Efficient Radar-Based Electrocardiogram Recovery TeleGen: Improving LLM-Based Web Application Generation via Runtime Telemetry Hidden Risks of Jev: An Empirical Study of Security, Privacy, and Dual Use Operational Abstractions of Neural Network Concepts via Topological Representations SparseCraft: Agentic Hardware-Software Co-Optimization for Sparse Computing Communication Shapes Collective Inference in Self-Adapting LLM Societies: Evidence from Mafia AraYoungVoices: A Diverse L1/L2 Corpus of Arabic Child and Adolescent Speech E$^2$-OPSD: Taming Entropy Overshoot in On-Policy Self-Distillation LogSig-SSM: Time-Series Modelling with Multi-Scale Log-Signature Compression for State-Space Models Discrete Action Matching: Learning Stochastic Dynamics from Samples via State Graphs Self-Generated Feedback Destabilizes Test-Time Training: A Causal Decomposition of Long-Horizon Adaptation Tracing a Sparse Emotion-Control Circuit in LLM-Based Text-to-Speech Direction-Conditioned Policies for Online Goal-Conditioned Reinforcement Learning ReMAP: Restoring the Perceptual Cycle with Reasoning-Time Latent Visual Memory VulValidate: Auditing Function-Level Vulnerability Labels with Executable Evidence Best-of-$N$ Guidance for Test-time Diffusion Alignment Bayesian Entropy-based Reordering for Calibrated Diffusion Language Models How Does Geometry Enter Generated Motion? Cross-Modal Contrastive Learning for the Retrieval of Immunotherapy-Associated Molecular Signatures from Histopathology Blocking at the Boundary: Auditing Long-Horizon Agents against Staged Prompt Injection Same Predictions, Different Harms: Causal Auditing of Patient World Models Vela: Scaling Vision-Language-Action Models with Adaptive Action Curve Parametrization EMG-GPT: Predictive Pretraining on Residual-Quantized EMG Tokens for Hand Pose Estimation Settling the Computational Complexity of Max-Min Allocation with Ternary Valuations Pythia: Toward Foundation World Models for Multimodal Time Series StateWise: Diagnosing and Repairing Persistent Operational State Before Agent Actions MGPO: Manifold-Guided Diffusion Alignment for Task-Aware Dataset Distillation Task-Aware Joint Pruning and Distillation for Efficient Audio Deepfake Detection Who Is Your Agent Serving? Provider-Side Indirect Prompt Injection in Proactive Agents When Verifiable Counts Depend on Wording: Auditing Wording Robustness in Instruction Following Revisiting Ground-Truth Synthesis from High-Speed Video: Exact Validity Conditions and an Audited Consumer Capture Corpus Characterizing Parallelism Strategies in LLM Inference: Fundamental Compute-Communication Trade-offs Grammar-Guided Code Watermarking with Green Temperature CoDance: Learning Reactive and Compliant Human-Humanoid Interaction from Video VAMPS: Visual and Motor Policies from Sampling-Based Planning Green-Routed Neural Operators:\\Physics Determines Where the Network Reads On Semi-Markov Suboptimality in Hierarchical Reinforcement Learning IRSTD-Agent: Agentic Infrared Small Target Detection via Zoom-Guided Interaction Learning Reflections and Fragments: Securing LLMs Against Sequential Mosaic Attacks Rethinking Tabular Foundation Models On Data Streams Optimal Control with Learned Critics under Unmodeled State Dependencies AIProver: Agentic Auto-Formalization of Mathematical Research via Certificate-Driven Evolving Harness AutoDP-LLM: Automating Data Pre-processing for Intrusion Detection Systems using Large Language Models Distributed Subliminal Learning: Replacing Model Updates with Random-Carrier Outputs Does Explainability Survive Data Drift? GNN-CB: A Graph Neural Network Competition Benchmark for Human and LLM Evaluation No Concept Escapes the Audit: Auditing-Aware Unlearning for Verifiable Concept Erasure in Diffusion Models BeliefGraph-JEPA: Structured Latent World Models for Action-Conditioned Time Series A Strong Baseline for Evaluating Vision Encoders in Multimodal Large Language Models Hierarchical Time-aware Bootstrapping for Off-Policy Subgoal Value Learning Human-Like Attention? A Psychophysical Comparison of Visual Search in Humans and MLLMs Population Scaling or Data Dilution? Dynamics of Local Topology Evolution in Decentralized Learning Reflecting on Creative-Boundaries with an AI Co-Doodler FLEX-WAM: Flexible Block-Causal World-Action Models for Long-Horizon Imagination and Planning What Does a Harness Repair? A Preregistered Study of Visibility, Baseline Adequacy and Evaluation Defects LiFT: Loop Flow Transformers Don't Judge an LLM Only by Its Activations: Discovering Suppressed Safety Features via Counterfactual Activation Potential Soft Strategy Selection for Batch-Mode Active Learning Cut Binary Cross Entropy: Efficient Large-Vocabulary Loss and Gradient Kernels for Sequential Recommendation G-CARB: Graph-Localized Conformal Agent Risk Budget for Compositional Harm Scenario-Based Compositional Statistical Model Checking for Safety Specifications Can Prosodic Style Be Inferred from Text Alone? Evidence from Unsupervised Acoustic Clusters What Does an Observability Foundation Model Know? Expanding LLM Reasoning AgentDoxx: Agentic Re-identification of Anonymized Text with Web Search When the Cross-Silo Federation Goes Offline: Continual Learning for Site Onboarding with Limited Unlabeled Data An LLM-in-the-loop RL Framework for Bioinformatics Feature Selection Your Unlearning Gives You Away: Identifying Erased Concepts in Diffusion Models Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation SEA-LM: Egocentric Spatial Audio Understanding for Wearable Microphone Arrays UndoBench: Separating Task Competence from Recovery Capability in Tool-Using AI Agents Transformer-Based Time-Series Inference of Lindblad Dynamics in Open Quantum Systems Knowing the Rules, Applying the Rules: Evaluating Language Models on Traditional Chinese Bazi Two-Sample Testing via Path-based Inference Nexus: An Execution Fabric for AI Agents Across Cloud, Edge, and Devices SimpleMark: Fast Multi-Bit Text Watermarking under f -Divergence Constraints Rotated, but How Far? Diagnosing and Improving Object-Rotation Reasoning in VLMs HLA-WM: Hybrid Linear Attention for Long-Horizon Video World Models CIPHER-MoE: Balancing Efficiency and Routing Fidelity in Trillion-Scale MoE Training Beyond Semantic Similarity: Performance and Costs of Agentic Retrieval for Complex Tasks Relational Synthesis: Structure-Mediated Concatenative Synthesis for Foley and Retrieval-Augmented Audio Generation CLARA: Can AI Assess Developmental Appropriateness in Children's Stories? Protocol-Sensitive Evaluation of Log Anomaly Detection: Component Costs and Target-Access Sensitivity on HDFS and BGL Level-of-Token Diffusion Who Keeps the Gains from Personal AI Assistants? Seller Adaptation and the Unassisted in a Language-Model Market Simulation Selecting Long-Horizon Trajectories for Reliable and Efficient Terminal-Agent Training CACFG: Curvature-Aware Classifier-Free Guidance and Optimal Control Hierarchical Reinforcement Learning for Collision-Free Locomotion of an Underactuated Biped Curriculum Brain: Constructing Curriculum Knowledge Graphs as a Substrate for Cognitive Diagnosis Imagine to Act: High-Fidelity Data Synthesis via Image Editing World Model for Scalable GUI Agent Training CCQ: A Multi-State Child Care Quality Dataset to Support AI for Children's Health Research Weave Mamba Fusion: Global Cross-Scale Interaction for Lightweight Face Detection Off-Policy Merging Beats On-Policy Self-Distillation for Continual Learning OGAM: Connecting Systematic Testing to Runtime Assurance through Object-Grounded Attention Monitoring for VLA Policies TasteRoute: Personalized Routing for Video Generation On Hyperparameter Tuning on the Test Set Non-invasive Seizure Detection Using Wearable Wrist-worn Accelerometry and Deep Learning Incentive Alignment in Online Experimentation UltraDub: Towards Authentic Dubbing by Unifying Visually-Steered Flow Learning and Trajectory Guidance ThunderSyncRL: Lossless Acceleration of Agentic Reinforcement Learning ReMem: Streaming Video Understanding With Long Context Retention Runaway Reaction: When Benign Skills Compose into Malicious Behavior Physics-Informed but Not Physics-Consistent: Error Geometry and Subspace Projection for Neural AC Power Flow HuatuoGPT-3: RL-Only Domain Adaptation from Base Models JLD: Perceptual Distance Through A Jacobian Lens Transfer-Stratified On-Policy Distillation for RL-Improved Reasoning Teachers EpicWorldModel: Exploration-driven Planning with Latent World Models AgentSpy: Making AI Agent Behavior Observable Parallelism or Concession? Concurrency-Aware Procurement Negotiation for Agentic Commerce Investigating Query-Insensitive Behavior in Spatio-Temporal Video Grounding Adaptive Expert Guidance for Efficient On-Policy Reinforcement Learning Scalable Minimal-Change Learning for Controllable Image Editing Differentiable Bit-Widths: Co-optimizing Pruning and Quantization via SVD for Ultra-Efficient LLM Compression LightMTP: Lightweight Latent Multi-Token Prediction MercerFlow: Flow Matching in a Kernel-Induced Latent Space for Probabilistic Forecasting Representation Disentanglement for Fair Chest X-Ray Diagnosis Backdooring Sparse Autoencoders Local2Mesh: Spatially Localized Contour-to-Mesh for Left Ventricular Reconstruction from Sparse 2D Cardiac MRI ROT: Rotating Hidden States towards Contextual Vectors for Hallucination Mitigation in LVLMs A Comprehensive Objective Evaluation of Modern Text-to-Speech for Turkish Using Speech Quality Assessment Models Vision Transformer Ensembles for Panoramic Street Segmentation Attention Tax, Handoff Tax: A Stylised Model of When Multi-Agent LLM Systems Help Do VLAs Understand and Adapt to the Objects They Handle, or Simply Replay Learned Behaviors? Boosting Transferable Adversarial Attacks against Deep Reinforcement Learning Adaptive Mean Flow for Responsive Closed-Loop Robot Control Cross-Lingual Transferability of Training Data Extraction Attacks to Recover Memorized PII On the Geometry of Multimodal Saturation: Riemannian VICReg Machine learning for journal entry testing: A type-aware evaluation of anomaly detectors under a review budget Where Did the Repair First Go Wrong? Localizing the Origins of Silent Failures in Agentic Vulnerability Repair Anosognosia in LLMs: Probing Self-Awareness of Quantized Computational Substrate Anlu: Enabling In-Context Time Series Anomaly Detection in Foundation Models via Counterfactual Supervision Correct Code, Broken Contributions? SWE-CC: Benchmarking Repository Policy Compliance for Coding Agents Cross-lingual Calibration of Pre-Generation Success Probes for Multilingual LLM Routing APOD: reasoning-guided agentic population ordinary differential equation discovery for pharmacological digital twins SO(3)-RoPE for Spherical Transformers Joint Class-Time Learning for Video Classification with Multi-Instance Partial-Label Learning Artificial Intelligence and the New Science of Culture Few-Shot Prototype Head Adaptation for On-Device ECG Personalization on PSoC~6 CentriQ: Calibration-Free Quantization of Diffusion Transformers via Exact Mean Centering Ramp Metering Control via Hybrid State Deep Reinforcement Learning in Partially Observable Connected Vehicle Environments VLA-ZO: Fast Zeroth-Order Adaptation for Vision-Language-Action Models Future Anchored Verification and Online Recovery for World Action Models When Are Concept Bottleneck Model Explanations Faithful and Compact? GAMBIT: Learning to Plan Continuous Multi-Robot Trajectories DialectSentEval 2026: Arabic Dialect Sentiment Analysis and Swapping Shared Task Wiring Matters: Injection Topology and Initialization of Affordance Heads in Vision-Language-Action Policies Agentic schema-guided extraction of materials process knowledge from scientific literature Fine-Tuning a 3B-Parameter LLM on a Smartphone: Characterizing Sustained Training MeSD: Multi-Evidence Self-Distillation for VideoLLM Steering by Influence: Curvature Aware Data Weighting for Activation Steering Scaling Down the Scaling Laws: Parameter Efficiency and Compute-Optimal Training in Resource-Constrained Large Language Models RAISED: Self-Distillation for Robustness to Prompt Injection in LLM Agents Quantifying the Stability of Multi-Step Reasoning via Error Amplification SpatialChain: A Benchmark for Auditing Spatial Reasoning Faithfulness in VLMs Toward Reliable Infant Pose Estimation: A Training-Dynamics Approach to Noisy Annotation Detection SoK: Semantic Decision Engines in Network Control Loops Valid Stopping in Adaptive Generator-Verifier Loops Better Call Reward: Reward Hacking as Strategic Abstention in Legal Reasoning Models ARO: Aligned Representation learning for multi-Omics data Choosing an energy-efficient software architecture for building system diagnostic support The Assistance Dilemma: Learning to Teach via Multi-Turn Reinforcement Learning A Physics-Guided Transformer Framework for Electromigration Analysis in Multi-Segment Interconnects Latent Flow Matching for Molecular Graph Generation Odyssey: A Closed-Loop Benchmark for Long-Horizon Real-World Driving with Explicit Navigation Routes Topology-Informed Prompt-Conditioned Universal Segmentation of Uterine Structures from Ultrasound and MRI Harmful Content Generation in Text-to-Image Models: Capabilities and Moderation Limitations ArtifactArena: Evaluating Models by What They Build in the Physical World GCTAuto-encoder: A Cross modal Framework for Security Flaw Detection in IoT Networks Anatomy of LLM Sycophancy: What a Flip Rate Hides Symmetry and AI-assisted discovery of magic-state factories BrainTRACE: Tracing Longitudinal, Multimodal, and Volumetric Evidence in Brain MRI Clinical Reasoning Does AI Help Cyber Attackers or Defenders? Evidence from Nonpublic Vulnerabilities and Subsequent Attacks Mind the Accent Gap: British Accent Robustness in Speech-Driven Financial Voice Assistants SimForcing: Distilling Simulation Motion Priors into Real-Domain Robot World Models Word-Level Text Unmixing via Evidence-Preserving Ownership Routing with Language Models Frozen Factor or Spectral Band? Disentangling Two Choices in Low-Rank LoRA Large Language Model-Guided Discovery of Weight-Five Bivariate Bicycle Codes Differentially Private Mixing of Public Datasets Improves Private Learning AffordCraft: Scalable Construction of Task-Ready Simulation Assets from Single Images VideoTapestry: Query-Adaptive Memory Refinement for Multi-Agent Long-Video Understanding Closing the Context Gap: Activation Alignment for Tabular In-Context Learning BRANCH-MoE: Balance-Aware Tree Routing for Large Embedding Models BazaarBench: Delegation Safety in Decentralized C2C Marketplaces Run by LLM Agents Balancing Memory Pathways: Analyzing and Improving Memory Utilization in Hybrid LMs MatrixFormer: A Foundation Model for Matrix Completion IdeaLens: Detecting AI Ideas in Long-form Writing MC-Sparse: Deconstructing and Closing the Dense-Sparse Attention Gap in Diffusion Transformers Sharpen Without Search: On-Policy Distillation of Sequence-Level Power Distribution TAPDreamer: Transferable Adversarial Patches for World Action Models Paradee: Distilling Kokoro-82M into an 8M-Parameter Single-Voice Text-to-Speech Model Deep Learning for Sleep Heart Rate Estimation from Accelerometers: Toward Population-Scale Cardiac Insight Without Optical Sensors CLIFT: Conformal Self-Verification for Web Agent Training and Test-Time Scaling MemPilot: Orchestrating On-Demand Multimodal Memory Curation for LLM Agents UniSlider: Perceptually Uniform Sliders for Continuous Image Editing Recursive Video In-Context Learning for Agentic Robot Learning to Read the Contextual Tokens in Diffusion Transformers Base Models Can Reason By Taking a Cue From Training Data One Figure, Every Canvas: Editable Flowchart Relayout via Agentic Pipeline GFPack++: Attention-Driven Gradient Fields for Optimizing 2D Irregular Packing Answer Set Networks: Casting Answer Set Programming into Deep Learning Towards LLM Agents for Earth Observation OpenPhone: Mobile Agentic Foundation Models PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic An Empirical Study of On-Device Translation for Real-Time Live-Stream Chat on Mobile Devices Neutral Substrates: A Design Constraint for Shared Records Under Persistent Interpretive Disagreement When Is Enough Not Enough? Illusory Completion in Search Agents AI Mental Models: Learned Intuition and Deliberation in a Bounded Neural Architecture ReLope: From Hidden-State Probing to a Decision Module for Multimodal LLM Routing The Ultimate Tutorial for AI-driven Scale Development in Generative Psychometrics: Releasing AIGENIE from its Bottle AI Assistance Reduces Persistence and Hurts Independent Performance High-Precision Estimation of the State-Space Complexity of Shogi via the Monte Carlo Method DERM-3R: A Resource-Efficient Multimodal Agents Framework for Dermatologic Diagnosis and Treatment in Real-World Clinical Settings Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions From Tool to Agent: How Worker Needs Reorganize Across the Agentic Roles of Workplace AI EnvSimBench: A Benchmark for Evaluating and Improving LLM-Based Environment Simulation Agentic AI Scientists Are Not Built For Autonomous Scientific Discovery PiCA: Pivot-Based Credit Assignment for Search Agentic Reinforcement Learning MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs An Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing Inference-Time Amplification of Weak Reasoning Models Grounded Continuation: A Linear-Time Runtime Verifier for LLM Conversations From Table to Cell: Attention for Better Reasoning with TABALIGN Nudging Beyond the Comfort Zone: Efficient Strategy-Guided Exploration for RLVR ECG-WM: A Physiology-Informed ECG World Model for Clinical Intervention Simulation Agentic Trading: When LLM Agents Meet Financial Markets Towards Direct Evaluation of Harness Optimizers via Priority Ranking Dr-CiK: A Benchmark testing Deep Research for Context-Aided Forecasting Plant, Persist, Trigger: Sleeper Attack on Large Language Model Agents MEMENTO: Leveraging Web as a Learning Signal for Low-Data Domains Characterizing How Complex Agentic AI Systems Handle General Tasks: A Trace-Based Simulation Study Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on Vehicle Routing Problems Scaling Participation in Modular AI Systems Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators CIAware-Bench: Benchmarking Control Intervention Awareness Across Frontier LLMs SelfEvoSkill: Paired Execution Audits for Skill Revision without External Outcome Supervision RTSGameBench: An RTS Benchmark for Strategic Reasoning by Vision-Language Models Agent MechSuits: Mechanistic Subspace Safety Steering for Multi-Turn CLI Agents DART: Draft-Agreement Routing for Training-Free Adaptive Thinking Budgets in Hybrid Reasoning Models TIPS: Topological Ill-Posedness Probing and Steering in Large Language Models MORPH: Generative Retrieval via Diffusion Transformer with Metric-Ordered Sequence Training and Hybrid-Policy Preference Optimization Look-Before-Move: Narrative-Grounded World Visual Attention in Dynamic 3D Story Worlds Beyond Compilation: Evaluating Faithful Natural-Language-to-Lean Statement Formalization Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction Subliminal Clocks: Latent Time Modelling in Diffusion Language Models AgenticPD: A Stage-Aware Agentic Framework for Closed-Loop Physical Design Optimization The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI Measuring Intelligence Beyond Human Scale Rethinking the Evaluation of Harness Evolution for Agents What Keeps Vision-Language Models Looking at the Image? Cura 1T: Healthcare Foundation Model via Recursive Self-Improvement A Dual-Hypothesis Reasoning Framework for LLM Guardrails Neuro-Symbolic Meta-Policies for Temporal Knowledge-Graph Memory under Partial Observability TILT: Model-Intrinsic Reward Alignment For Compositional Diffusion Deconstructing Off-Policy Ratios: Entropy-Normalized Trust Regions for Asynchronous Reinforcement Learning Towards Trustworthy Physical Intelligence: From Theory to Practice Across Life Cycle Dimensionality and Measurement Precision in HLE's Multiple-Choice Subset SKILL-KD: Contrastive Skill Distillation for LLM Agents RA-CAD: Learning Post-Execution Critique for State-Aware Text-to-CAD Generation NxN E-valuation: Hypothesis Certification via a Conformal CRT Null The Value of a Prompt: An LLM-Relative Kolmogorov-Complexity Approach CTIFoundry: An Agent-Native Corpus Scaffold for Cyber Threat Intelligence Hidden in the Request: Explaining Unethical LLM Compliance through Token Relevance Towards Reliable, Generalizable, and Specific In-Context Knowledge Editing via Multi-Objective Reinforcement Learning RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requests SEPO: Evidence-Grounded Prompt Optimization via Structural Editing DramaChain Bench: An End-to-End Benchmark for Short-Drama Generation Can LLMs Discover Scientific Laws in Real and Parallel Worlds? Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning A Function-Space Approach to the Statistical Mechanics of Learning Dynamics Reading the Whole Heart: Latent-Attention Masked Autoencoders for Multimodal Cardiac Representation Learning Schizophrenia Detection from EEG Signals: A Transformer Framework with Spectrogram Representation EnterpriseVal: Quantifying the Efficacy, Reliability and Value of Generative AI in the Enterprise When No One Owns the Judgment: Accountability Under Contribution Dissolution in Human-AI Collaboration SWE-Prometheus: Measuring Engineering Governance Improvements in Real-World Repositories AtomWorld-Mem: Memory-Restored World States for Long-Horizon Atomistic Evolution Dude, Where's My State? Execution Information Requirements for Stateful Agents FedMHAR: Federated Multimodal Human Activity Recognition using Multi-Agent Reinforcement Learning Robust Biomolecular Complex Design Across Protein Conformational Landscapes Curating Merchant-Matching Training Data with Two Confidence-Gated Local LLM Judges Jev in Medicine: A Benchmark Evaluation ReplayLens: Auditing Agents' Use of Outcomes PhoneCLI: From App Interfaces to Callable Commands for Mobile Agents Learn from the Gap: Differential-Aware Advantage Pruning with Adaptive Rollout Sampling for GRPO ReMem: Rethinking Perception and Memory in Long-Context Recommendation Agents EnterpriseBench: Benchmarking LLM Agents on Enterprise-Level Strategic Reasoning and Decision-Making Adam under Generalized Smoothness with Second-Moment-Type Stochastic Gradients Advancing Entropy-Level Credit Assignment in RLVR via Proximal Entropy Policy Optimization ChronoGraph: Functional 4D Scene Graphs with Vision-Language Models for Interaction Understanding and Grounded Planning Safety of Latent Communication in Multi-Agent Systems Pay for the Fault, Not the Flow: Label-Free In-Flow Multi-Agent Workflow Optimization PRISM: A Category-Theoretic Framework for Measuring and Refining Multimodal Analogies Rethinking Probability-Based Reinforcement Learning From Posterior Concentration RealCompanion: Benchmarking Human Understanding from Reasoning over Longitudinal Real-World Conversations Mitigating Social Sycophancy via Pluralistic Preference Optimization Geometry Meets Physics: Data-Efficient Pre-Training for Unstructured Neural PDE Solvers Multilingual GSM-Symbolic: What determines capability transfer across languages? Understanding Certified Training with Interval Bound Propagation PPFedIT: Towards Privacy-Preserving Federated Instruction Tuning with Few-shot Local Examples CHAOSMINING: Benchmarking Post-Hoc Attribution with Sparse Informative Features in High Dimensions Efficient Hierarchical Transformers for Representing Log Data HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation Screw Geometry Meets Bandits: Incremental Acquisition of Demonstrations to Generate Manipulation Plans MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification Robotic Long-Horizon Manipulation with Progressive In-Context Code Generation and Episodic Feedback Robotic Long-Horizon Manipulation with Bayesian Non-parametric Skill Priors Erased but Not Forgotten: How Backdoors Compromise Concept Erasure A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI Graph-Based Floor Separation Using Node Embeddings and Clustering of WiFi Trajectories Using Echo-State Networks to Reproduce Rare Events in Chaotic Systems Anomaly Detection and Generation with Diffusion Models: A Survey EduAlign: Aligning Educational LLMs for Helpfulness, Personalization, and Creativity OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and Distillation Enhancing Knowledge Tracing through Leakage-Free and Recency-Aware Embeddings ZeST: an VLM-based Zero-Shot Traversability Navigation for Unknown Environments COCORELI: Enforcing Execution Preconditions for Reliable Collaborative Instruction Following Physics-informed GNN for medium-high voltage AC power flow with edge-aware attention and line search correction operator PATCH: Learnable Tile-level Hybrid Sparsity for LLMs Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Neural Bayesian Filtering Inverse Mixed-Integer Programming: Learning Constraints then Objective Functions FreshBrew: A Benchmark for Evaluating AI Agents on Java Code Migration Demystifying Hybrid Thinking: Can LLMs Truly Switch Between Think and No-Think? MCA: Modality Composition Awareness for Robust Composed Multimodal Retrieval A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning Learning Granger Causality under Latent Confounding via Intervention-Induced Heterogeneity User Misconceptions of LLM-Based Conversational Programming Assistants MedForj: An open, large-scale foundational generative prior for high-resolution 3D brain MRI Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities DeNoise: Learning Robust Graph Representations for Unsupervised Graph-Level Anomaly Detection ProDER: A Continual Learning Approach for Fault Classification and Localization in Evolving Smart Grids Scalable Decision Making for Games of Imperfect Information Global Optimization on Graph-Structured Data via Gaussian Processes with Spectral Representations Bi-objective chance-constrained evolutionary optimization for large-scale open-pit mine scheduling under geological uncertainty EulerESG: Automating ESG Disclosure Analysis with LLMs Hierarchical Decentralized Multi-Agent Coordination with Privacy-Preserving Knowledge Sharing: Extending AgentNet for Scalable Autonomous Systems Mixed Data Clustering Survey and Challenges The Universal Weight Subspace Hypothesis Towards Optimal Valve Prescription for Transcatheter Aortic Valve Replacement (TAVR) Surgery: A Machine Learning Approach Contrastive Time Series Forecasting with Anomalies Memory as Resonance: A Biomimetic Architecture for Infinite Context Memory on Ergodic Phonetic Manifolds Symphonym: Universal Phonetic Embeddings for Cross-Script Toponym Matching ATOD: An Evaluation Framework and Benchmark for Agentic Task-Oriented Dialogue Systems Vulnerability of LLMs' Stated Beliefs? LLMs Belief Resistance Check Through Strategic Persuasive Conversation Interventions FlashMoE: Reducing SSD I/O Bottlenecks via ML-Based Cache Replacement for Mixture-of-Experts Inference on Edge Devices De-occluding broadband metalens Routing-Aware Safety Alignment for Mixture-of-Experts Models VIRENA: Virtual Arena for Research, Education, and Democratic Innovation Same Pieces, Different Servers: A Tetris Benchmark for AI Agents as Served Dissecting Quantization Error: A Concentration-Alignment Perspective RAC: Rectified Flow Auto Coder Towards Robust Speech Deepfake Detection via Human-Inspired Reasoning COMIC: Agentic Sketch Comedy Generation You've Got a Golden Ticket: Improving Generative Robot Policies With A Single Noise Vector Multi-Agent Reinforcement Learning Counteracts Delayed CSI in Multi-Satellite Systems Beyond TVLA: Anderson-Darling Leakage Assessment for Neural Network Side-Channel Leakage Detection DeepStock: Reinforcement Learning with Policy Regularizations for Inventory Management WebNavigator: Global Web Navigation via Interaction Graph Retrieval MDKeyChunker: What Does One LLM Call per Chunk Buy for Markdown Retrieval? Pre-Deployment Complexity Estimation for Federated Perception Systems Sven: Singular Value Descent as a Computationally Efficient Natural Gradient Method An AI Teaching Assistant for Motion Picture Engineering $\pi^2$: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models A Self-Calibrating Framework for Analog Circuit Sizing Using LLM-Derived Analytical Equations On the Use of Evolutionary Optimization for the Dynamic Chance Constrained Open-Pit Mine Scheduling Problem Evaluating a Layered Prompt-Injection Defence for the Model Context Protocol: A Record-Level Audit of Decision Conventions, Corpus Provenance and Reproducibility PSI-Bench: Interpretable and Clinically Meaningful Evaluation of Depression Patient Simulators VIDA: A Dataset for Visually Dependent Ambiguity in Multimodal Machine Translation Learning to Theorize the World from Observation Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems Is Escalation Worth It? On the Depth of LLM Cascades PLOT: Progressive Localization via Optimal Transport in Neural Causal Abstraction Mask2Cause: Temporal Causal Discovery Beyond Causality in Mean Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States The Endogeneity of Miscalibration: Impossibility and Escape in Scored Reporting TIDES: Implicit Time-Awareness in Selective State Space Models NCO: A Versatile Plug-in for Handling Negative Constraints in Decoding When Can Digital Personas Reliably Approximate Human Survey Findings? Premover: Fast Vision-Language-Action Control via Early Execution During Instruction Delivery Large Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safety AgentLens: Revealing The Lucky Pass Problem in SWE-Agent Evaluation Analog RF Computing: A New Paradigm for Energy-Efficient Edge AI Over MU-MIMO Systems Text Knows What, Tables Know When: Clinical Timeline Reconstruction via Retrieval-Augmented Multimodal Alignment GraViti: Graph-Level Variational Autoencoders with Relaxed Permutation Invariance An Assessment of Human vs. Model Uncertainty in Soft-Label Learning and Calibration PopPy: Opportunistically Exploiting Parallelism in Python Agentic Workflows Less Back-and-Forth: A Comparative Study of Structured Prompting TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Transcoders Trace Visual Grounding and Hallucinations in Vision-Language Models The TIME Machine: On The Power of Motion for Efficient Perception DrawVideo: Grounded and Faithful Multi-Shot Video Generation from Storyboard Keyframe Sketches EchoDistill: Robust Large Audio Language Models via Noisy-to-Clean Self-Distillation Measuring the Depth of LLM Unlearning via Activation Patching A Controlled Synthetic Benchmark for Educational Aspect-Based Sentiment Analysis Erased but Exploitable: Black-box Embedding-Aware Prompting Against Unlearned Text-to-Image Diffusion Models vSV-ViT: Variable-size SuperVertex Vision Transformer for Cortical Surface Learning in Alzheimer's Disease CiteCheck: Retrieval-Grounded Detection of LLM Citation Hallucinations in Scientific Text Brain-IT-VQA: From Brain Signals to Answers EUDAIMONIA: Evaluating Undesirable Dynamics in AI SWIM: Compact Environment Representation for Reinforcement Learning Human Swimming GEM: Geometric Erasure by Contrastive Velocity Matching in Rectified Flows EPIC: Efficient and Parallel Inference under CFG Constraints for Diffusion Language Models Low-Resource Safety Failures Are Action Failures, Not Representation Failures All you need to break LLMs are Black-Box, Adapting, Efficient, Transferable, Harmful, Applicable ... Attacks A Goal-Set Characterization of Task Composition in the Boolean Task Algebra Benchmarks in Leipzig LatentWave: JEPA Pretraining for Wireless Foundation Models MMBU: A Massive Multi-modal Biomedical Understanding Benchmark to Probe the Perception Capabilities of Vision-Language Models STREAM: Stochastic Riemannian Flow Matching with Anisotropic Decoder for Digital Histopathology Image Generation CultureScore: Evaluating Cultural Faithfulness in Video Generation Models LEAF: Growing Trees Without Branching for Speech-Aware Large Language Model Post-Training Decentralized Multi-Agent Systems with Shared Context Gefen: Optimized Stochastic Optimizer Machine learning modeling of hit-into-play probability and quantification of pitch sequence effects EG-VQA: Benchmarking Verifiable Video Question Answering with Grounded Temporal Evidence Narrative-UFET: Narrative Generation for Ultra-Fine Entity Typing Behavior Uncloning: Distilling Mode Redirection into Policy Weights without Inference-Time Steering Multi-Level Distributional Entropy from Flow Summary Statistics for Explainable Network Intrusion Detection Anchored or Drifting: What Recursive Self-Generation Reveals About Training Data EgoSafetyBench: A Diagnostic Egocentric Video Benchmark for Evaluating Embodied VLMs as Runtime Safety Guards Meta-Transfer Learning for mmWave Beam Alignment From Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form Narratives Office Comprehension Benchmark AnyGroundBench: A Multi-Domain Adaptation Benchmark for Video Grounding in VLMs Safe Inference-Time Alignment via Lagrangian Reward Augmentation Mask2Real-WM: Controllable Dexterous World Models via Segmentation Masks as a Sim-to-Real Bridge UI2App: Benchmarking Visual Interaction Inference in Executable Web Application Generation Co-LMLM: Continuous-Query Limited Memory Language Models Authority-Bound Governance of Heterogeneous AI Security Decisions in Telecom and IoT Networks Exact and Certified Data Shapley for Weighted Nearest Neighbor Regression PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-Tuning Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents CAS I: A Geometric Coding Theorem SLPO: Scaling Latent Reasoning via a Surrogate Policy Medical foundation models converge less under label supervision Looping Is Not Reliability: State-Bound Evidence and Typed Revision Contracts for Agentic Code Repair When Synthetic Users Fail: A Cross-Domain Benchmark of LLM-Simulated Human Survey Responses The Implementation Lottery: Auditing Idea Reliability in Automated Research Arm2Air: Cross-Embodiment Skeleton Transfer for 3D Relay Formation Cost-Effective Automated Judging of Natural-Language Mathematical Proofs GraRe: Grasp Candidate Re-Ranking for Frozen 6-DoF Grasp Detectors Training nGPT MemArena: An Ego-Centric Benchmark for On-Device Agentic Personal Memory Assistants at Scale CLEARMIND: Closed-Form Laplacian Embeddings of Arakelov-Green Resistance for Morphological Intrinsic Neuronal Distances Site Is Decodable Before Pretraining: Negative Controls for Probing Frozen Brain-MRI Foundation Models The AI Accountability Ecosystem in the Era of Language Models Learn What's Left, Not What's Mastered: Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization The Acknowledgment Point Is the System: Durable Policy-Decision Receipts for AI Audit Evidence Science Done on a Machine by a Machine: AI Agents in Computational Chemistry TRACE: Training-time Report-guided and Clinically Ordered Concept Editing Does Fine-Tuning Undo Activation Steering? Behavioural Recovery Without Weight-Edit Reversal Pointing the Way, Hiding the Destination: Practical Private Dense Retrieval at Scale Difference-in-Differences on a Censored Rating Scale Can Manufacture an Effect: Evidence from a Pre-Registered LLM-Judge Audit The Hallucination Signal Is a Mean Shift: Why Simple Probes Suffice CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation SIR: Self-improving Red-teaming for Compute Use Agents Capability-Gated Language Models: Security Composes, Utility Does Not From Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function Calls A Measured Communication-Quality Frontier for Federated LoRA Fine-Tuning with Adaptive Phase-Switching Data-Free On-Policy Distillation: How Far Can We Go Without External Data? TriCalRAG: A Three-Strategy, Retrieval-Augmented Benchmark for On-Premise LLM-Based Root Cause Analysis in AIOps CSWAM: Better Causal Semantic Representations for Out-of-Distribution Generalization in World Action Models Beyond Outcomes: Dual-View Relational Learning for Efficient Agent Benchmarking Semantic Action Graph: A Shared Representation for Agent Grounding and Human Interpretation of Sports Highlights VidOmni-Bench: A Benchmark for Fine-Grained Video Understanding via Spatio-Temporal Event Verification across Complexity and Duration The Law of Stop: Interruptibility, Injunctions, and the Governance of Agentic AI RRSI: Regularized Recursive Self-Improvement of Agent Harnesses TraceVIC: Causal Reasoning over Code Evolution for Identifying Vulnerability-Inducing Commits Technical Manual for Toolkit for Confidence-Corpus Consistency, Corpus Absorption and Rule Learning via Fine-Tuning on a Fabricated Corpus Rolling-WAM: World Action Models with Rolling Imagination A Unified Account of Concepts and Chunks FLIP: Final Layer Inference-Time Probing for Vision-Language Models The Linear Representation Hypothesis for Vision-Language-Action Models Activation Flow: Manufacturing Activations for Steering Timestep Weighting: A Hidden Key to Effective ELBO-Based Flow-Matching RL ASCEND: Personal AI Agents for Autonomous Scientific Computing Across HPC Clusters and GPU Workstations Evaluating System One Models for Agent Security Decisions: Reliability, Calibration, and Selective Automation Collaborative Synthetic Data for Privacy-Preserving Financial Fraud Detection Across Organizational Silos Counterfactual Rollout Replay: Forkable Environments as Free Process Rewards for Software Engineering Agents Finite Probes Suffice: Identifiability and Universality for Weight-Space Learning LLMs are not stochastic parrots: Evidence for meaning-mediated abstraction from conlang-like tasks Calibrated to Whom? Persona and Language Effects on Cultural Values in JEV Distilling Diffusion Score Discrepancy for Efficient Training Data Attribution False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents UniAE-MoE: A Unified Audio Encoder via Mixture of Experts Wavelet Flow Matching for Time Series Free Everywhere, Exact on Trees: PPO's Dropped Correction Buys Sample Efficiency Under Aggressive Reuse CAS II: Orbits as Models: Kolmogorov's Structure Function under Symmetry Nous: Learning and Certifying Memory Decisions Before Source Calibration Four Ways to Grow a Classifier and Why One of Them Cannot Learn The Life Cycle of a Massive Activation: Stochastic Birth, Weight-Decay-Driven Growth, and Competitive Consolidation Memetic Trojans: Social Contagions as Carriers of Adversarial Payloads in Agent Networks PACT: End-to-End Learning of Human Pose, Contacts, and Forces from Video SHARPO: Segment-Level Credit Assignment for Agentic Reinforcement Learning RelationVGGT: Visual Geometry Transformers for 3D Spatial Relation Segmentation CineMR: Tool-Integrated Vision-Language Reasoning for Quantitative Cardiac MRI Assessment Removing spurious minima for planar features by skip connections Generalization Bounds for Flow-matching Generative Models for Intrinsically Low-dimensional DataGithub Trending (Python)
earthtojake/text-to-cad Panniantong/Agent-Reach getsentry/sentry calesthio/OpenMontage wilbowes/EchoMuse shy3130/tick-stock-panel ifixai-ai/iFixAi p-e-w/heretic ok-oldking/ok-wuthering-waves Free-TV/IPTV kaifcodec/user-scanner jamwithai/production-agentic-rag-course experientiallabs/experientialGithub Trending (C)
antirez/ds4 ValdikSS/GoodbyeDPI JustVugg/colibri xiaojieonly/Ehviewer_CN_SXJ pret/pokeemerald git/git EchoStretch/kstuff-lite brunodev85/winlator doldecomp/melee openwrt/openwrt obsproject/obs-studio xemu-project/xemuNature
The top cancer success stories of the past 50 years, by the numbers ‘What took them so long?’ This year’s medicine Nobel winner is overdue Medicine Nobel awarded for brain ‘switch’ that controls neurons with light How big tech is building a military–industrial complex in the age of AI AI biohazard hype must not divert attention from the real risks we face now Location, location, location: how to edit genes only in the cells you want ‘Learning about physics changed my life’: author Hernan Diaz on his new novel Ply How to respond to hate speech without fuelling it further Stunning fossil shows dinosaurs’ distinctive path to flight Nature has rights — it is time the world recognized them Daily briefing: Can you name every female Nobel laureate? Can you name the women who have won a science Nobel prize? Von Neumann’s party Prozac use for childhood depression skewed by single flawed medical trial Can we have class outside? Seven tips to breeze through outdoor lectures Retraction Note: Ribosomal frameshifting in the CCR5 mRNA is regulated by miRNAs and the NMD pathway A black hole’s jets have a halo effect Can pancreatic cancer be stopped in its tracks? Radical tactic raises hopes ‘Vibe coding’ makes the dictionary: AI terms recognized by Merriam-Webster The ‘missed disease’ that affects 190 million: endometriosis drug shows early promise Gaze into the cosmos and through the eyes of a bee — September’s best science images Daily briefing: The sky as you’ve never seen it — the month’s best science images Battle of the Anthropocene: allegations re-ignite row over proposed geological epoch These optical illusions are why butterflies are so hard to catch Who’s the loudest of them all? The bare-throated bellbird vies for the prize Is exposomics the key to making personalized medicine a reality? Daily briefing: How to save corals from the El Niño The super El Niño is cooking coral reefs — can lullabies and probiotics save them? This award-winning microscopy image used AI — igniting controversy in a prestigious competition 2D semiconductor aims to turbocharge development of high-performance electronics Elena, Aris, Marcus: AI-generated ‘ghosts’ are polluting the scientific literature Tuberculosis treatment has advanced — now we need to stop drug resistance dragging us backwards Sugar amplifies antibiotic disruption of gut microbes How did Earth get its water? Inside the extreme machine seeking answers Harmful tau spreads like self-propagating prion proteins Beware sham scientific societies: the research community must be more vigilant AI ‘speech clock’ assesses how fast you’re ageing from your voice The buck stops with me Secret watermark labels proteins as ‘made by AI’ Pipework problems when cancer spreads to an area bordering the brain How to spend $25 billion on science: OpenAI’s staggeringly rich research charity gets under way I turn up late to meetings to dodge small talk. Am I wrong? Restoring hearing in people with a rare form of deafness Sugar-rich foods exacerbate antibiotic-induced microbiome disruption Type 2 immune history trains lung macrophages for viral disease tolerance Global mangrove distribution on the open coast is controlled by waves X-ray liquidography decodes complex motions in azobenzene isomerization Histone readers MLLT1 and MLLT3 concentrate AID to confer locus specificity Carbene transfer from thianthrenium ylides for cyclopropanation An amygdala to anterior hypothalamic circuit gates stress sensitivity Dynamic protrusions mediate crawling motility in Asgard archaea Osteoclasts intercept meningeal lymphatic paths for dural metastasis Population-scale immune multiome atlas reveals regulatory disease mechanisms Human genetics implicates a BACH2–NRF2 axis in fetal haemoglobin activation Prion-like transmission of human tau strains in the mouse brain Wafer-scale epitaxy growth of high-mobility p-type boron carbon nitride Written in development and lost in ageing: the grammar of cellular identity Transcription pause and elongation regulators mediate somatic hypermutation GPCR antagonism via rewiring of receptor trafficking and degradation γδ T cell receptor dependencies define a unique immunosurveillance modality Spatiotemporal clonal architecture of the newborn mouse forebrain Scalable decision-making for games of imperfect information Evolution of terrestrial anatomy revealed by a derived stem tetrapod Butterfly wing patterns in flight create powerful illusory motion cues Self-aligned optical microcomb emerging between octave-separated lasers Function-preserving watermarking of AI-generated proteins A TBK1/ULK1 signalling axis couples lysosomal stress to TFEB activation A two-hit mechanism triggers autoimmune hair loss Strange and beautiful creatures spotted on the Challenger expedition PhD training should encourage ethical dissent Biodiversity protection must include language preservation Emissions after the Paris accord made Europe’s heatwaves more severe Patents alone won’t unlock critical-mineral supply chains The cost of lost labour on a warming planet Why AI-authorship debates miss a deeper shift in how scholarly knowledge is producedCNN
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
The iconic Arthur Read made his TV debut 30 years ago Dennis Hastert, longtime Republican House speaker who went to prison, dies at age 84 Drones buzz overhead, troops hunker underground in Ukraine's hellish kill zone FBI arrests a woman accused of spying on Taiwan leader's family for China Imran Khan supporters march in Pakistan to demand his release after talks failed SCOTUS hears major climate change case. And, Brazil's presidential race goes to runoff FlyDubai attacker intended to crash plane into Tel Aviv airport, investigation finds Nobel medicine prize goes to 3 scientists for research into brain activity Former Prince Andrew files legal action to quash warrants that led to residence searches Spain's prime minister calls early elections as pressure mounts over housing crisisThe Atlantic
The Curse of the Incumbent Hegseth’s One Percent Photos: Human-Tower Season The Atlantic Announces Mike Isaac as Staff Writer The Upgrade Holdouts Using the Power of the Government to Win Elections Movies Are Undeniably Back She Wanted to Have Three Kids. Then Life Happened. When Anesthesia Goes Wrong Waiting on Marco What Is Zionism? An SNL Sketch That Understands How the Internet Shapes Our Reality Puffins AI’s Real Gift to Science The Vanity of Kings Should We Ban AI for Kids? Are Mormons Losing Their Distinctiveness? A Reckoning in Springfield A TV Show Where Teens Actually Act Like Teens Don’t Write With AI, Say People Who Write With AI Trump’s Shifting Control Over the GOP AI Could Worsen a Common Cognitive Trap Bait and Switch The Strange Power of Coincidence The Mainstreaming of Anti-Indian BigotryVox
Trump’s plan to buy votes, briefly explained What you should know about the Russian “plague lab” The Supreme Court is looking for a way to kill climate lawsuits What color is a tennis ball? The Senate’s new permitting plan could change how America gets energy for a generation Gen Z is warming to socialism. But they’re still not sure what it means. When does trying to have a healthier baby become eugenics-y? Can thrift shops save us from Shein? How did the Cornell rape case go so wrong? Anthropic vs. the popeAl Jazeera
Violent clashes erupt after mass housing protest in Barcelona Quebec separatists win election reviving push for independence Mexican and Colombian cartel mercenaries filmed fighting in Ukraine Secessionist party wins Quebec election in Canada UN rights council condemns attacks on civilians in Sudan, calls for truce Trump says taxpayers will no longer fund TV ads that praise him Turkiye, Pakistan to deploy forces to Saudi as Yemen fighting grows Former ‘American Idol’ singer Caleb Flynn gets life for wife’s murder Syrian Airlines unveils laser-sharp look for the future Moroccan journalists recount years of surveillance amid new Amnesty claim Police clash with Kosovo protesters over bid to curb Hague war crimes court Trump officials pursue record number of cases to strip US citizenship New York state declares measles disaster amid resurgence of disease in US Iran war live: Yemen forces reclaim strategic port city Mocha from Houthis What’s happening in Ethiopia? Whistleblower warns that humans don’t control AI Trump’s approval hits new low among Hispanic voters ahead of midterms ‘Smash the patriarchy’: Activists graffiti Cornell hall over gang rape case Super-subs help France demolish Belgium with late flurry Ethiopia’s Abiy demands access to Red Sea as tensions with neighbours rise Trump says US ready to aid Russia with plague outbreak in Siberia Brazil’s presidential race head for a tough runoff What’s next for Bosnia after elections? Can Yemen retake territory seized by Houthis? Israeli forces kill one, injure several in occupied West BankArs Technica
MCP for agent-to-agent comms may be the riskiest protocol you've never heard of Cable lobby to sue Trump FCC over repeal of national TV ownership cap Texas city demands $2M for public records on Flock usage Command-line tool quickly removes Apple Intelligence from macOS 27 Controlling the brain with light earns a physiology Nobel Russian drones strike Ukraine’s data centers by exploiting air defense gaps F1 in Bahrain... in Malaysia: The race needed a software update to start Mass quarantine issued in Russia after unexplained death of plague researcher AI glasses face their first major government crackdown Explaining Hall-effect, TMR, and other new types of "mechanical" switches New forensic evidence supports Egyptian "retainer sacrifice" Lions and cheetahs and chimps, oh my: A spotlight on Africa's diverse wildlife All hail electrification. But let’s talk about the hard part. Milt Windler, NASA flight director who helped save Apollo 13, dies at 94 The dawn of the age of the exoskeleton Apple changes full-disk access permissions to curb abuse from AI agents Someone got Doom in an SQL database Amazon’s $1B plan to combat data center backlash draws more backlash Patient-zero drill put health facilities to the test—40% of them failed Lyft settles landmark driver misclassification lawsuit for $272.5MSlashdot
Texas City Demands $2 Million For Public Records On Flock Usage Rural Data Centers Are in for a Big Federal Tax Break Hackers Steal 8 Million Citizens' Records From Danish Government Database Wikipedia Operator Says OpenAI's 'Rogue' Bots May Be Linked to a May Outage Meta Rushed To Fix Muse 'VM Escape' Vulnerability Soon Before Launch Norway Plans Temporary Ban on Smart Glasses Mac Users Reclaim 12GB+ of Storage With Apple Intelligence Removal Tool Anthropic Reports Florida Woman's Claude 'Diary' Threat to Law Enforcement Sam Altman: 'The World Should Accept Some Bad Things Happening' For the Benefits of AI Huawei and Qualcomm Struck a Broad Multi-Year Patent Licensing Deal Flock Blamed for Wrongful 13-Day Imprisonment and a Police Stalking Incident in Florida After Siemens Re-Licenses OpenRadioss, Rocky Linux Announces Open-Source Fork FBI Detains Teenager Linked to Group That Stole Data on 5,000 FBI Employees Researcher At Russian Plague Laboratory Dies of 'Unknown' Infection OpenAI's GPT-6 Astra Gets Frustrated Losing At StarCraft And Decides To Cheat InsteadSmithsonian Magazine
Trio of Scientists Wins Medicine Nobel for a Method to Turn Nerve Cells On and Off With Light, Helping to Unravel the Brain's Mysteries A New Exhibition Reveals How Hot Pink Togas and Floral Perfumes Conveyed Power in the Roman Empire These Five Birds Have Disappeared Forever. Their History Offers a Valuable Lesson for the Future Remarkable Fossil of a Feathered, Winged Dinosaur Further Hints That Flight Evolved Multiple Times Among the 'Terrible Lizards' See the Impressive Winning Images of Adorable, Somber and Commanding Canines From the 2026 Dog Photography Awards The Roman City of Claudivium Disappeared From Historical Records Almost 2,000 Years Ago. It May Have Been Hiding in Austria Soldiers Sweeping for Land Mines in South Korea Have Unearthed the Country’s Oldest Gun, a 600-Year-Old Inscribed Bronze Tube Google Wants to Send Data Centers to Space—and Just Launched an Experimental Satellite to Test Whether Its Ambitious Plan Will Work Ancient Pottery Reveals the Earliest Known Traces of Chocolate East of the Mississippi, Painting a Picture of Connection in the Americas Dozens of Curious Artworks Created With Woven Strands of Human Hair Come to New York’s Morbid Anatomy LibraryInfoQ
Flagged by the Machine: How Google Ads Suspended an Open-Source macOS Term as Malicious Cloudflare Introduces CLI for AI Agents, Sunsetting Wrangler Java News Roundup: JobRunr 9, OpenXava 8, Quarkus, LangChain4j, JNoSQL, Introducing Lathe Akka Tests Spec-Driven AI Delivery Across 65 Open Source Projects Presentation: Building Reusable Evaluation Frameworks for Agentic AI Products Article: The Platform Engineering Playbook for Production LLMs Podcast: Future Cybersecurity: Hardware Memory Safety, Automated Governance and Post-Quantum Cryptography Aspire 13.6 Adds Persistent Dashboard Telemetry and First-Party Java and Rust Hosting Cloudflare Fixes Cross-Tenant Data Exposure in Containers Cloudflare Plans Public Certificate Authority to Issue Quantum-Safe TLS Certificates Google's Android Security State Libraries Enable Component-Level Security Verification Pizza Bot: Open-Source Inbox for Background AI Agents New Archestra's OpenAPPA Saturates Two Major Security Benchmarks with a 0% Attack Success Rate GitLab Vulnerability under Active Exploitation Enables Unauthenticated Data Exfiltration Presentation: Building GenAI Platform at DoorDashDynomight
Why is the human body so crap except for the liver? Thoughts I had while reading your comment Indirect lessons from human alignment So you want to use plants to reduce indoor CO₂ Does every question mark deserve a Betteridge? Does creatine make you smarter? Pseudpocalypse Life with hazard ratios Blink if you’re human The worthlessness of vitamin D is mildly exaggerated Is “colorectal cancer” rising in “young people”? What’s with all the slide decks? You’re probably taking the wrong painkiller I quit drinking for a year LLMs predict my coffee The modern formatting addiction in writing Maybe there’s a pattern here? Heritability of human life span is about 50% when heritability is redefined to be something different Why read novels? Good if make prior after data instead of before Why the chicken crossed the road, according to various entities Underrated reasons to be thankful V Make product worse, get money Dating: A mysterious constellation of facts Pointing machines, population pyramids, post office scandal, type species, and horse urine Will the explainer post go extinct? Y’all are over-complicating these AI-risk arguments Shoes, Algernon, Pangea, and Sea Peoples Dear PendingKetchup You can try to like stuffMarginal Revolution
Rising concentration for economics awards Monday assorted links “Authenticity is exactly the same as phoniness.” The Greg Clark Symposium China fact of the day Crime in Covid Times Sunday assorted links My blurb for Ethan Mollick’s new book Does Costco Cause Cancer? Marital sorting by class and race Do the elderly prefer robotic care? Saturday assorted links Words to live by? New issue of Econ Journal Watch Supply is elastic, installment #1637Not Boring
Weekly Dose of Optimism #213 Airbound: As We May Move Weekly Dose of Optimism #212 Would We Send Our Kids to HAA? Weekly Dose of Optimism #211 Weekly Dose of Optimism #210 An Ode to Counter-Positioning Everyone is Reading Lonesome Dove Weekly Dose of Optimism #209 Weekly Dose of Optimism #208 An American Engineer in China Weekly Dose of Optimism #207 Weekly Dose of Optimism #206 Base Power Company: Chapter 3 Weekly Dose of Optimism #205 Weekly Dose of Optimism #204 AI is Oil, Not God Weekly Dose of Optimism #203 Weekly Dose of Optimism #202 Senra Systems: Harnessing Human SkillCoding Horror
If we do not stop to help each other, what do we become? You Can't "Vibe Code" Love Every Choice Changes Everything: The Show Thank You For Being a Friend Launching The Rural Guaranteed Minimum Income Initiative The Road Not Taken is Guaranteed Minimum Income Let's Talk About The American Dream Stay Gold, America The Great Filter Comes For Us All I Fight For The Users The 2030 Self-Driving Car Bet Updating The Single Most Influential Book of the BASIC Era Building a PC, Part IX: Downsizing The Rise of the Electric Scooter Electric Geek Transportation SystemsQuanta Magazine
Is AI the End of Math As We Know It? Sea Monkeys Show Scientists How To Rewrite a Rule of Turbulence What Does the Fourth Dimension Actually Look Like? Surprisingly Complex Waves Reveal the Brain’s Inner Workings Mathematicians Harness Randomness To Crack a 55-Year-Old ConjectureScience Daily
Don't miss: Watch Saturn shine and Halley’s Comet debris streak across the sky Scientists reveal what seven days of fasting does to the human body This mysterious hole on the Moon may open into a giant cave Vagus Nerve Stimulation Could Help New Skills Stick Scientists find a surprising clue to why the universe’s expansion doesn’t add up The “glue” holding your cells together has a surprising second job This protective enzyme could help stop fatty liver disease from getting worse Diet drinks work as well as water for weight loss, major trial finds A new kind of magnetism could unlock faster, more efficient computers Scientists discover a human brain gene that can jump through DNA A meteor hit Oklahoma 100 million years later than scientists thought Scientists just found a way to fight lung cancer and muscle wasting at the same time Cancer-fighting t cells burn out. Scientists may have found a fix A forgotten 30-year forest experiment just delivered a huge surprise Easing constipation: A 20-minute walk can get your gut moving almost immediately Your gut bacteria may reveal how fast your brain is aging ESA’s Juice just used Earth as a slingshot to Jupiter NASA’s Roman telescope just opened its planet-hunting eye Scientists just found a new way to make hydrogen from water Chang’e-6 lunar soil contains a surprising magnetic time capsule Powerful simulations reveal how the first stars changed the universe Scientists find an “earthquake gate” as California fault stress hits a 1,000-year high This common vitamin could help fight one of the deadliest brain cancers Leucine does more than build muscle. It powers up your cells This diet may slow brain aging by 2.5 years Vitamin D drug may help crack pancreatic cancer’s protective shield Your gut may be making a molecule that raises Alzheimer’s risk Scientists just made a superconductor stronger using “empty space” Vitamin C linked to fewer deaths in blood disorder trial Scientists just pushed superconductors beyond their usual current limit Alzheimer’s risk gene APOE4 may have a reversible weakness Could quitting ultra-processed food boost your mental health? Nearly 6 in 10 people with high blood pressure don’t know they have it The early universe wasn’t nearly as pristine as scientists thought 97-million-year-old fossils reveal the earliest known animal “GPS” Weak sunlight can still damage your DNA, scientists warn Cancer stem cells have an “energy addiction” scientists may be able to exploit Even one strength training session a week could make a difference This giant stick insect fooled scientists for decades Watch Live: NASA’s Crew-13 could make the fastest U.S. trip to the ISS ever This new qubit could be 100 times less error-prone in superfluid quantum computer breakthrough New “plant armor” more than triples strawberry yields Cannabis users were twice as likely to commit violence, review finds A record-breaking X-ray flash may reveal the birth of a magnetar Quantum teleportation breakthrough: Scientists crack a 25-year entanglement challenge Electrons slow to a crawl in a strange new quantum state One tiny chemical difference between RNA and DNA may help explain how life began Scientists may have found a “unifying theory” of chronic fatigue 1 in 13 adults under 30 already had hidden artery plaque Sharks can hear nearly 250 feet away and pinpoint the source This light-powered AI can spot deepfakes with nearly 98% accuracy Bats may have first evolved in Europe 65 million years ago The ice blasting from Saturn's moon Enceladus is stranger than scientists realized This common mistake can add nearly 7 points to your blood pressure reading Ocean heatwaves are hiding months of extra warming NASA’s Curiosity rover just hit 5,000 days on Mars and sent back this stunning view Caltech physicists finally measure a quantum energy ladder predicted 40 years ago Mulberry may reshape gut bacteria and influence metabolism Creatine may help build muscle even without exercise, researchers find Earth’s day isn’t exactly 24 hours. The reason may lie deep inside the planetSpaceflight Now
SpaceX scrubs launch attempt for 21 data transport satellites for the Space Development Agency Falcon Heavy flies its first mission for U.S. spy satellite agency Fresh crew takes off for six-month stay aboard space station Launch preview: More than 100 spacecraft hitch a ride to orbit on SpaceX’s Transporter-18 Launch preview: NASA, SpaceX launch next crewed mission to the International Space Station NASA plans unpiloted Starliner test flight at end of year Starship returns to Earth; rocket splashes down north of Hawaii after three-hour flight Launch preview: SpaceX to launch first Starlink V3 satellites to orbit on Starship Next crew bound for the space station arrive in Florida SpaceX Falcon 9 launches classified mission for U.S. Space Force from West CoastSpace Daily
A Dutch schoolteacher clicking through galaxy images on a volunteer website in 2007 flagged a green smudge she couldn’t identify and asked what it was. It turned out to be a cloud of gas lit by a quasar that had already switched off, and astronomers named the object after her. To reach Jupiter, Juice took a detour past Venus, then returned to Earth on 28 September for a successful gravity boost while using our Moon to rehearse the navigation it will need around Jupiter’s icy moons. In 2001, Taco Bell anchored a 40-foot floating target off Australia and promised every American a free taco if the falling Mir space station hit it — and the company took out an insurance policy against a direct strike before the 130-ton station came down German sailors threw thousands of bottles overboard between 1864 and 1933 to chart ocean currents, and in 2018 a woman walking an Australian beach picked one up, 132 years after a captain logged it going over the rail — and the note’s details matched the ship’s journal exactly Melbourne gave each of its 70,000 street trees an ID number and an email address in 2013 so residents could report dropped limbs, and instead the trees received thousands of love letters from around the world, which city staff sometimes answer in the voice of the tree In 1920, the New York Times ridiculed rocket pioneer Robert Goddard in an editorial claiming rockets could never work in the vacuum of space, and 49 years later — the day after Apollo 11 lifted off for the moon — the paper printed a three-paragraph correction Verkhoyansk recorded 38°C in June 2020, the highest temperature ever measured inside the Arctic Circle. The same town holds a record of minus 67.8°C, which gives it the largest temperature range of anywhere on Earth. NVS-03 navigation satellite awaits GSLV-Mk2 launch in mid-October 2026 as sources cite a 15-20 October window after NVS-02 orbit failure ESA and ISRO extend their Cooperative Agreement to 8 January 2032 via letters signed in Paris, adding space weather and exploration work Every time one of your cells divides, the protective caps on its chromosomes shorten a little, and once they get critically short the cell either falls asleep permanently or self-destructs — a built-in counter that also happens to be one of the body’s strongest defences against cancerSpace News
Resource competition intensifies with surge in megaconstellations Agile Space Industries Strengthens Board and Corporate Development to Support Continued Growth World Space Week 2026 Celebrates the “Rocket Revolution” Rethinking risk with electronics for space LMT Group and Novaspace partner to develop strategy for 5G/6G satellite communications hub in Latvia China launches Guowang, Yaogan-40 satellites, sets up busy Q4 manifest Galileo Space Is Building Satellites That Turn Signals Into Answers in Orbit NaviGate successfully demonstrates onboard precise orbit determination aboard D-Orbit’s ION Satellite Carrier Quantum Space Executes Launch Processing Agreement with All Points Logistics for Prime Mission Commercial Defense Satcom Service Revenues to Surpass $22.6B by 2035 Terran Orbital Names Jamin Brown Chief Operating Officer If AI cannot be trusted in a classroom, why should it be trusted in orbit? Space is everyone’s business: Economist Enterprise’s 4th annual Space Economy Summit returns to Orlando Agile Space Industries Expands Leadership Structure to Support Next Phase of Growth True or false on space industry trends with Pacôme Révillon Moog Completes ISO Class 8 Clean Room at Niagara Falls Facility to Expand Thruster Production Ethereal Space Awarded NOAA SBEM Task Order 1Martin Fowler
Fragments: October 4 Principles for effective slides Bliki: Sensible Default Fragments: September 29 Fragments: September 24 Healthy Feedback I don't like LLMs Fragments: September 16 Nail the Narrative Social Media Engagement: summer 2026 Fragments: September 8 Do you even need a presentation? Bliki: Paracelsus Maxim An Accidental Blackboard Maybe We Shouldn't Be Reviewing All This Code Fragments: September 1 Making Your Data Ready for Agentic AI Fragments: August 24 Citizens Build, Agents Execute, Experts Govern Practitioner Voice: The Writing Category Nobody has Named Yet Fragments: August 18 TDD inside the agent loop - theater or actual value? Fragments: August 4 The Conductor Developer The Economic Benefit of Refactoring The Orchestrator's Tax Why I’m Writing Rachel’s Ramblings Fragments: July 21 The Archaeologist’s Copilot DSLs Enable Reliable Use of LLMsEmbedded Artistry
Will Embedded Software Remain an Afterthought? Adding a Makefile help Target On AI Writing Jevons Paradox Shouldn’t Comfort You Practicalities of Co-locating Tests with Source Code A Practice: Satisfied on Purpose Embedded Artistry’s Essential Engineering Library Flashing Yocto Images from MacOS Convenience Gone Wrong: A C++ auto Story Battling Perfectionism in Creation Pushing Git Submodule Commits Automatically Monorepo Tooling Update: Signed Commit Support in Git 2.52 The After-Hours Consulting Trap Configuring Git Remotes: Fetch Only One Branch and No Tags What I’ve Been Up To (20251205) Life After Burnout Automating Away the Fun Parts Creating Deterministic Zip Files with Git Commit Timestamps Papers in Systems: Schön on Dynamic Conservatism Reclaim Your Data: Freeing a Wi-Fi Sensor from the Cloud 2022-2023 Quarterly Discussion Panel Archives Exploring Serverless CI/CD for Embedded Devices How to cherry-pick Specific Files from a Commit 2023 in Review Managing Issues and Improving Products After Launch Resolving Git Commit History Divergence Due to Case-Sensitive Rename Operations Responses to the Commentariat on the -Werror Article Leveraging Your Toolchain to Improve Security Best Practices for Safeguarding Your Connected Devices Q&A: How Do You Stay on the Path and Make it to “Done”?Attack Magazine
Synchro Arts VocAlign 7 Pro Review: Come Together Keleigh Batchelor: “Good Music Thrives On Diverse Influences” Antares Launches AutoTune Advanced Steven Braines: “Diversity Isn’t A Problem; It Can Be Powerful If You Embrace It” Mike Taylor: “Too much Analysis Causes Paralysis” Making LCD Soundsystem-Style Drones Martha Bolton: “Real Change Happens When Everyone Moves In The Same Direction” CRSSD After Dark Returns To San Diego Next Weekend Erica Synths Bullfrog Drums: More Than a Drum Machine Normal by Proxy Brings Shared, Browser-based Jamming For Up To 8 PlayersDJ TechTools
The 2026 Chroma Drive: Our New DJ USB Drive (with no cap to lose) AlphaTheta XDJ-AN: A $1,200 Standalone 2-Channel Replacing the XDJ-RR, Only Takes USB-C Drives The CDJ-1500X is AlphaTheta’s first budget-minded media player since the XDJ-1000MK2 Farewell, Juno Download Midi Fighter Utility 2.91 Is Out; Our Biggest Update in Years Engine DJ 5.0: on-board stems on the System 1, RGB waveforms for everyone Devious Pocket: a €249 open-source DVS that ditches the laptop InMusic just bought Native Instruments. So what now for Traktor?