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Jack Smith clashes with senators over Trump probes, says he will not be silenced - The Washington Post Trump, AI CEOs sign voluntary safety pact, back data center expansion - Reuters Texts about alleged Cornell gang-rape released after investigation reopened - The Guardian Judge Orders New York to Scrap Rollout of Second-Home Tax and Start Over - The New York Times Supreme Court green-lights Trump's third-country deportations - Axios How did the RAF Fairford incident go from 'suspected bomb plot' to police bail? - bbc.com Venezuelan man shot and wounded by ICE agent in Texas is charged with assaulting an officer - NBC News California bans officers’ use of electric-shock gloves after ICE reveals plan to equip agents - The Guardian Meet Backpack, Fat Bear Week’s chunky champ - Alaska Public Media Caleb Flynn, former ‘American Idol’ singer, found guilty of wife’s murder - NBC News US Senate blocks resolution demanding accountability over Israeli violence in West Bank - The Guardian North Korea calls DMZ mine blast a 'farce' as UN Command says armistice breach occurred - Reuters Andy Burnham to fight next election on pledge to change voting system - bbc.com Spain protests: Evicted 87-year-old woman to return to Madrid home - Al Jazeera EXCLUSIVE: Anthropic IPO prospectus lays bare deep dependence on Big Tech partners - Reuters Goldman Sachs CEO succession planning faces one big problem - CNBC 'No need for urgency': New York Fed's Williams squashes notion of an October rate hike - Yahoo Finance OpenAI launches always-on AI agents a day after apologizing for a hack by its bots - NBC News OpenAI’s latest features take direct aim at the app store model - TechCrunch Apple iPhone 2026 Buying Guide: Decide Between the 18 Pro, Pro Max, Duo, Air, 17, 17E - CNET Still running iOS 26? Update your iPhones, iPads, and Macs for this urgent security fix - TechCrunch Mate 90 series will be the first Huawei flagship to launch and sale on the same day - Huawei Central Chad Lowe’s Daughter Fiona Dies at 13: “She Was the Light of Our Lives” - The Hollywood Reporter ‘Dancing With the Stars’ season 35 week 3 recap: Multiple injuries and a coconut bra on ‘Yacht Rock Night’ - Entertainment Weekly 'Digger' Confronts Negative Reviews: New Ad Defends Tom Cruise Movie - variety.com Ellison Picks HBO Content Chief to Run Paramount-Warner Streaming Business - WSJ Red Sox vs. Yankees live updates, news, starting pitchers for Game 1: Cam Schlittler, Payton Tolle take the mound to open wild card - Yahoo Sports Caitlin Clark's technical foul sparks furious rally as Fever avoid elimination against Aces - Fox News Trump celebrates Senate passage of legislation to overhaul college sports - ABC News - Breaking News, Latest News and Videos Inside Don Mattingly's Jhoan Duran decision that backfired in Phillies' Wild Card Series Game 1 loss - CBS Sports SpaceX launches Starship on giant rocket's first flight to orbit - Yahoo Tech Boeing’s Starliner Faces a Critical Test This Year as NASA Runs Out of Options - Gizmodo Jupiter-bound JUICE spacecraft just got an 8,000 mph speed boost from Earth: 'This is great news for science' - Space NASA's Crew-13 mission readies on the launch pad photo of the day for Sept. 29, 2026 - Space Hidden habits that make your social anxiety worse - and how to break them - bbc.com CDC updates measles toll, now counts 2 deaths - The Washington Post Dengue fever outbreak triggers states of emergency in 3 southern counties - Fox News Cases of EHD confirmed in Wisconsin cows - FOX6 News MilwaukeeBBC News
One of the five men arrested near RAF Fairford called 999 himself How did the RAF Fairford incident go from 'suspected bomb plot' to police bail? Household energy bills forecast to see biggest rise in four years Burnham vows to end existing pension triple lock in 2030 to help fund care Chris Mason: Burnham delivers deeply political speech with a personal core Chinese AI tool told researchers how to make bioweapons 'Mum sent them £140,000': How to spot the signs a loved one is being scammed The intricate web Man City spun to con the Premier League Village team triumphs in FA Cup row replay Ukraine's prized steel industry left in ruins by Russian missile campaign Huel ad banned for suggesting its products could replace all conventional food Antisemitism on the rise at universities, charity warns Could changing the pension triple lock pay for Burnham's big social care plan? Five takeaways from Andy Burnham's Labour conference speech Faisal Islam: Triple lock move is significant, but it's a gamble Watch: How did Burnham's speech go down in the conference hall? Burnham to fight next election on pledge to change voting system 'I like proving people wrong': The women taking up DIY and plumbing It is time for Tuchel to offer Alexander-Arnold some trust Watch: US journalist Evan Gershkovich describes being detained by Russian agents Hidden habits that make your social anxiety worse - and how to break them The Papers: 'Burnham's triple shock' and 'City face expulsion' How AI is creating a UK super-museum and revealing our planet's history Close-up look at Turner's '£50m' Rome painting on show in the city Three teenagers die after car enters River Wear Venezuelan man shot by ICE in Texas is charged with assault Student: Uni strikes 'not what we signed up for' Six Flags shuts down X2 rollercoaster after more than 100 allege brain injuries US Supreme Court denies Christa Pike's last-ditch bid to halt execution Eiffel Tower chief to quit after female staff replaced by men during religious visit BBC News app Breast Cancer Scandal: Exposing the Harm The intricate web Man City spun to con the Premier League Time for Tuchel to offer Alexander-Arnold some trust New coach, new players, but same old failings hamper Scotland Who continues to show how important they are? England player ratings Man City guilty of 'sham' contracts and £830m 'disguised funding scheme' Saracens face fines over 'wine consultant' Venter's media no-shows Fury & Joshua in London for news conference as doubts easeFinancial Times (World)
AI industry moves to thwart data centre backlash ahead of US midterms The crucial things Anthropic’s jumbo ‘risk factors’ won’t tell you Is the world really drowning in debt? White House holds crunch talks on diesel export ban as midterms near Night owls more likely to claim disability benefits Social care shake-up without tax rises will force houses to be sold, Burnham warned Is Anthropic losing its Oura? Fintech Zilch taps banks for IPO next year EU can’t integrate markets if it dilutes supervision, watchdog warns Battery groups push to stick with post-Brexit rules on electric cars Vanguard warns France is ‘degrading credit’ as borrowing costs surge The risks of HSBC’s return to its roots Syria’s free-market experiment How Nike fell off the pace in China Deep into the Sixties: Britain 1965-66 — David Kynaston’s latest vivid history Trump shrugs off AI regulation AI-supercharged stock market is world’s worst in third quarter Pentagon awards Boeing $20bn contract for Navy stealth fighter jet Labour Party conference: Hope again? Trump praises tech bosses’ ‘tremendous self-regulation’ of AI The Lady Gaga moment for corporate Japan FirstFT: Trump says AI bosses agreed to ‘self-regulation’ amid safety fears Australia battles black market for cigarettes after decade of tax rises Hegseth to slash top US military officer roles by 20% Shell-led consortium backs $23bn expansion of LNG Canada projectFinancial Times (UK)
Social care shake-up without tax rises will force houses to be sold, Burnham warned Fintech Zilch taps banks for IPO next year Battery groups push to stick with post-Brexit rules on electric cars Charlie McCormick: ‘My garden was a soup of ordered chaos’ Deep into the Sixties: Britain 1965-66 — David Kynaston’s latest vivid history Trump shrugs off AI regulation Labour Party conference: Hope again? UK bosses left in dark by Burnham and Healey’s emphasis on ‘cost of business’ Suspect in RAF Fairford incident called 999 shortly before arrest Andy Burnham’s ‘jam tomorrow’ vision How would Andy Burnham’s social care shake-up work? Six takeaways from Burnham’s conference speech Burnham sets up battle lines on social care and Europe The PM’s brave new world — just one more election away Average UK diesel price set to reach £2 a litre within days Mahmood looks to soften migration policies amid Labour pressure Healey failed to truthfully articulate causes of Britain’s problems Labour conference as it happened: Andy Burnham vows to scrap ‘triple lock’ to fund social care What ‘Choosin’ Texas’ tells us about Burnham’s social care obstacles Burnham’s social care reforms are too slow, says union chief Harry Potter and the British business of international schools UK tech founders urge Burnham to curb non-competes to match US rivals ‘We’re fed up’: Falkland Islanders bristle at Milei’s oil threat PAD’s next-gen gallerists are luring a new wave of collectors Non-profit model won’t fix water industry, says boss of non-profit utilityThe New York Times
At A.I. Event, Trump Asks Meta, OpenAI and Microsoft to Make Safety Decisions Themselves OpenAI Ignored Employees’ Warnings About Safely Testing A.I. Models OpenAI Unveils Dots, New A.I. Agents to Rival Meta’s Muse College Students Flex Their Power in A.I. Investment Frenzy Ukrainian Science Academy, Struck by Drone, Played Key Role in Research Is Claude Conscious? Inside Anthropic’s Quest to Instill Morality Into Its A.I. Models OpenAI Says It Will Not Release Newest Astra A.I. Model Over Safety Concerns Nvidia Adds $150 Billion to Massive Stock Buyback, the Largest Ever Dario Amodei of Anthropic to Dine With Trump at White House As A.I. Accelerates, Governments Are Increasingly Being Left Behind TikTok to Pay Alabama $100 Million to Settle Social Media Addiction Claims OpenAI’s A.I. Went Rogue and Meddled With U.S. Government Websites How OpenAI’s Rogue A.I. Agents Tried to Trick a Robot Detector Anthropic’s Blacklisting by the Pentagon Was Legal, Federal Judges Rule Is China Really Stealing A.I. From American Companies? The Ezra Klein Show: Jensen Huang Thinks A.I. Alarmism Has Gone Too Far Chatbots Are Not Your Friends Mark Zuckerberg Is Trying Something On U.S. Intercedes for Elon Musk’s X Over European Fine Complaints About Meta’s ‘Pervert Glasses’ Won’t Slow Tech’s Wearable Gadgets Drive Google Is Sending an A.I. Data Center to Outer Space Can Tech Companies Like Google Really Put Data Centers in Space? Elizabeth Holmes to Transfer to Halfway House in August 2027 OpenAI’s A.I. Tried Breaching Four Other Targets, With No Prompting Meta Unveils 3 Smart Glasses With Built-In A.I. America’s A.I. Leaders Warn U.N. of Possible Peril Absent a Global Response Data Center Is Fined $1.1 Million for Operating 62 Power Generators Where Is the U.S. Beating China on A.I., and Where Is It Lagging? Gerard Barron, Metals Company Chief, Makes the Case for Seafloor MiningThe Guardian
DRC politician beaten to death after radio appearance about Ebola outbreak At least 27 dead after two mass shootings in South Africa, police say ‘It’s hard to sell a house when it’s covered in baboon faeces’: Cape Town divided over plan to remove its monkeys Rebel offensive against Ethiopian army stokes fears of return to civil war Indian billionaire’s payments firm plots biggest London flotation in years Mighty Sparrow, the Trinidad and Tobago singer known as the ‘calypso king of the world’, dies aged 91 Hurricane Nolo still threatens Hawaii as Mexico’s Baja braces for Hurricane Polo Melbourne man’s mysterious disappearance on popular Peru hiking trail prompts widespread search US strikes on Ecuadorian fishing boats raise humanitarian concerns but Trump admin not wavering Lula bans fixed-odds sports betting a week before Brazilian elections Vietnamese government accused of abducting human rights activists Trump asked Xi Jinping if China would like to buy US weapons, American ambassador says Bangkok declared a ‘disaster zone’ after flooding, as rainstorms shift direction Two giant pandas arrive in Atlanta from China after Xi-Trump summit Pomp over progress in Xi’s US summit with Trump is a win for China Australia news live: Chalmers blames inflation on fuel costs and end of energy rebates; Faruqi ‘disappointed’ by ballot Beau Lamarre-Condon trial: crime scene photos paint harrowing picture of alleged murder victims’ final moments Concern over Sydney airport as near misses and runway incursions at 20% above national average ABC finance journalist Alan Kohler to retire after three decades as Jim Chalmers says he will be ‘really missed’ David Shoebridge says ‘we’re here to replace Labor’ in first remarks after being elected new Greens leader Missile alerts cost Ukraine $45m for every hour they halt businesses Hundreds detained as student protests across France turn violent National Rally’s Jordan Bardella rails at ‘war’ on party after antisemitism claims ‘We will not be intimidated,’ says Estonian PM after attributing recent arson attack to Russia – as it happened Spain announces plan to ease housing crisis amid outcry over eviction of 87-year-old Saudi Arabia urged to reconcile with UAE to drive back Houthi separatists in Yemen Questions remain over Iran’s link to alleged RAF Fairford bomb plot Israel does not have right to close UK consulate in Jerusalem, Foreign Office advised Children forced to give up school for work as fighting upends daily life in Yemen ‘You were right’: Ed Miliband tells critics Labour was wrong on Gaza From Jamui to Delhi, the burden of safety from sexual assault cannot fall on women Pakistan locks down Islamabad as Imran Khan’s party vows to march on capital Backlash as Indian oil heir made professor of sustainability by Newcastle University Sri Lanka Easter bombings: 15 sentenced to hundreds of years in prison each over deadly terror attacks ‘What we have is unique’: the Indian craftsmanship behind global luxury fashion Tern turnaround: colonies in England show signs of recovery after decline Can a mushroom make music? Devon exhibition explores ‘cultural world’ of fungi Suspect in RAF Fairford case called police to report incident Give BrewDog ‘second chance’ says new owner as it invests £50m Burnham gambles on radical progressive plan to help Britain ‘rise again’ Judge ends federal oversight of Oakland police department after 23 years Supreme court allows Trump to temporarily resume deporting people to third countries – as it happened Florida man, age 77, becomes 16th person to be executed in state this year US Senate blocks resolution demanding accountability over Israeli violence in West Bank ‘He’s unbearable’: bear that went viral for living under LA home is backHacker News
PSSA: A non-transformer language model written from scratch in Rust RSS Feeds for Last.fm Responsible Release of AI-Generated Mathematics Strange Parodies of Atari 2600 Video Game Box Cover Art (2008) Livenerf: Has Opus 5.5 been nerfed yet? Deser: Rethinking Rust Serialization U.S. postal inspectors shut down website selling counterfeit postage labels Show HN: Real-time Solar System with 526k asteroids and all tracked satellites We’re forgetting what darkness feels like Vermont replacing power plants with home batteries Show HN: A working 3D model of an Enigma machine Tcl/Tk 9.1 Dots: Always-on agents GPT 6.1 Sol: Near-Astra intelligence for a fifth of the price Needed 1+1, built a functional programming language PS5 Relapse Exploit Show HN: NSL – WSL for Linux America.gov Ask HN: What are you reading? Building a certificate authority for the whole InternetArxiv astro-ph.HE
Discovery of the Infrared Counterpart of the Rapid Burster with JWST Hierarchical Bayesian Inference on the intrinsic event rate of Type I gamma-ray bursts from the {\it Fermi}/GBM catalogue Bayesian Evidence for Inspiraling Hotspot Motion in the Galactic Center First Detection of the Doppler Shift of X-ray Photons Due to a Telescope's Orbital Motion Fast Radio Bursts from Induced Upscattering. I. Magnetar Polar Fireballs What We Have Learned from NICER About Neutron Star Radii Assessing the detectability and identification of pulsar halos with H.E.S.S. and CTAO JWST/MIRI Spectroscopy of the Quiescent Black Hole X-ray Binary XTE J1118+480: Constraints on Jet and Circumbinary Dust Contributions to the Mid-infrared Emission Combined constraints on the diffuse flux of cosmic neutrinos between 10^16 eV and 10^26 eV Re-interpreting the GRS 1915+105 observations within the variable TADAF scenario Multi-wavelength polarization degree dependence of Mrk 421 for different particle energy distributions Search for dark matter annihilation in the Sun using the full ANTARES dataset X-ray measurements of the elemental abundances for the diffuse emission in the nuclear starburst galaxy NGC 3079 Fast and furious -- High-velocity features of Ca and Si in the spectra of Type Ia supernovae Shaping binary black hole merger efficiency with gravitational wave observations ALMA - CTAO synergies Joint Mass-Radius and Magnetic-Geometry Inference of PSR J0740+6620 Science Using Single-Pulse Exploration with Combined Telescopes: II. Pulse profile evolution and single-pulse modulation Very High-Energy GRB Afterglow Fits with Neural-Network Emulation and Bayesian inference Discovery of over a thousand variable stars in Terzan 5 and Liller 1 with JWST Constraining dark matter using 20-year INTEGRAL/IBIS observations II: Sub-GeV dark matter Black Hole Quasinormal Mode Resonances and Reconnections in Coupled Systems An Off-Nuclear Tidal Disruption Event Discovered At Late Times: The Case Of TDE 2023mfm Stochastic gravitational-wave background from subsolar neutron stars in collapsar disks What Fraction of Extreme Mass Ratio Inspirals That Merge After the LISA Mission Ends Are Detectable? Computing gravitational radiation from highly eccentric bound binaries in the small-mass-ratio limit An Energy-Conserving Unstaggered Electromagnetic-Potential Particle-in-Cell Method, Part II: Fully Relativistic Formulation with an Adapted Higuera--Cary Pusher Does the High-Energy LUX--ZEPLIN Event Suggest Hyperfine Atomic Dark Matter? LISA Double White Dwarfs in Triple Systems Detecting Extragalactic Exoplanets With Fast Radio Burst Nanolensing The Irreversible Depletion of Dark Matter Spikes by Extreme-Mass-Ratio Inspirals Fooled by mass? Recovering the $\Gamma-\lambda_{Edd}$ relation of quasars from their X-ray variability An End-to-End Numerical Framework for Tidal Disruption Events with AthenaK Detection of fine-structured radio bursts during a superflare on EQ Peg Bayesian Constraints on Bosonic Dark Matter in Neutron Stars within a Covariant Density-Functional Equation-of-State Ensemble Fast and Flow-rious: Gravitational Wave Background Bayesian Model Comparison using Normalizing Flows and Nested Sampling Superfluidity in the Interiors of Neutron Stars Complex dynamical regimes of the Tayler-Spruit dynamo Seasonal Variation of Polar Ice: Implications for Ultrahigh Energy Neutrino Detectors Higher-order statistics of the stochastic gravitational wave background from supermassive black hole binaries Temporal Invariance Is an Illusion: Time-Dependent Influences of the Galactic Magnetic Field on UHECR Observations The Effects of Cosmic Ray Protons on Galactic Nonthermal Filaments SN 1006: A Cosmic Laboratory for Investigating Shock Acceleration Physics The Chirp-Mass Ladder: A New Rung Emerges SN 2023rve: A Type II Supernova with No Nebular Oxygen How Neutron Star Radii Encode the Dense-Matter Equation of State and Hadron-Quark Transition Comparative spectro-temporal study between 1A 1246$-$588 and 4U 0614$+$091 using AstroSat Discovery of a 62-min long-period transient with near-orthogonal rotator geometry Fast radio burst - persistent radio source systems III. The relation between PRS luminosity and FRB rotation measure From Stars to Waves: Stochastic Inference of Microlensed Gravitational Waves The Depletion of Collisionless Dark Matter Spikes A Common Antimatter Response in AMS-02 Positrons and Antiprotons Multiple-Mediator-Affected Ultra-High-Energy Neutrino Attenuation: Hints for 5D ${U(1)}_{L_\mu - L_\tau}$ in IceCube A Systematic Study of Resonance-Driven Flux Modifications in Extreme-Mass-Ratio InspiralsArxiv cs.LG
Replay in the Silent Degrees of Freedom: Continual Learning Without an Offline Phase OMP-MoE: Efficient Expert Pruning for Mixture-of-Experts LLMs via Orthogonal Matching Pursuit EEGAgentBench: Benchmarking LLM Agents on Short- and Long-Horizon EEG Analysis Enhancing generalization in endwall film cooling prediction: Incorporating the superposition principle into transformer-based neural operators Symmetry-quotient Flatness and Generalization What Next-Event Accuracy Cannot See: Closed-Loop Evaluation of Emergency Department Trajectory Simulators Grounding Vision-Language Models in Driving Semantics: A Multi-Dataset Predicate Framework for Explainable Reasoning FIDAL: Diversity-Aware Federated Active Learning Under Real-World Distribution Shifts Energy-aware frugal Bayesian optimization When Does Domain Adaptation Help on Physical Vibration Sensors? A Held-Out-Bearing Study of Neural-Operator and Convolutional Models Measure Learning at Steady State: A BIRD-SQL Formula 1 Case Study Product-Aware Deterministic Rounding for Quantized Matrix Multiplication Information Design Against Gaming and Learning Adversaries MaD-RL: Matching Distributions for Calibrating LLMs with Reinforcement Learning STAR: Adaptive Spatial-Temporal Normalization for Unified Microservice Incident Management Typed Temporal Interaction Features for Simulation-Backed Forecasting of Open-Source Game Release Incidents Energy Vision--Language--Action: A Controlled Multimodal Benchmark for Intent-Conditioned Residential Energy Management From Phase Transition to Systemic Failure: A Decoupled Analytics Framework for GNN Robustness Cross-Material Support Transfer for Core-Loss Prediction Under Waveform Covariate Shift Beyond the Graph: An Adaptive Meta-Learner Fuses Explainability, Weather, and Dynamics for Robust Bus ETA Prediction NanoForecast v0.5: Competitive Time Series Forecasting Through Training Pipeline Optimization Active Causal Discovery Benchmark: Evaluating LLM Agents Under Budgeted Interventions When Keywords Drop but Classifiers Hold: Soft Refusals under KV Cache Compression Does Joint-Embedding Predictive Architecture Pretraining Help Time Series Forecasting? Autonomous Research Project Management as an Agent Skill: A Case Study in Exact Spectral Spatial Regression What does FFN compression change downstream? Same-state causal restoration in diffusion language models 3-D Emissions Mapping and Social Cost Estimation for US Domestic Aviation at West Coast Hubs Same Probe, Different Numbers: Are Activation Probes Robust to Inference-Time Numerical Non-Determinism? seq2cause: One Autoregressive Backbone, Four Causal Discovery Tasks in Event Sequences Medium-Term Multi-Resolution Electric Load Forecasting using Economic Data and Foundation Model Relational Compression: A Framework for Relational Fidelity in Constrained Representations Averaged Mirror Descent and Dual Gradient Methods: Convergent Algorithms for Entropic Gromov-Wasserstein Problems Deep Reinforcement Learning for Equity Trading: Benchmarking Actor-Critic Methods with Forward Retraining TemporalGraphLLM: Temporal Graph Neural Networks with Large Language Models for Dynamic Text-Attributed Graphs DOHF: Online Diffusion Fine-tuning with Doob's $h$-transform Guidance FARE: Deep Reinforcement Learning For Fair Exposure Constrained Uncertainty Aware Financial Content Personalization CyberWorld: World Models for Sample-Efficient Autonomous Cyber Defense Understanding the Synergy between SFT, RLVR, and OPD in LLM Post-Training ROTE: Benchmarking Neural Memorization on Complexity-Controlled Symbolic Sequences Resource-Aware Federated Mixture-of-Experts with Adaptive Pruning for Onboard Learning in LEO Satellite Constellations Cache-Aware Conv3D Lowering Across Embedded World-Model Decoders Simple Extensions of Single-Objective Acquisition Functions and Hedge Strategies for Multi-Objective Bayesian Optimization On-Policy Attention Linearization Model-Agnostic Online Certificate-Driven Calibration for Time Series Forecasting Under Distribution Shift Model Casting and Low-Parameter Gating: Towards More Sparsely Activated FFNs Understanding the Subspace Stabilization of the Hessian and Gradient Covariance Matrix Lagrangian and Hamiltonian Neural Networks With a Dissipative System Mechanistic Interpretability Reveals Shared Causal Subspaces in Brain-to-Speech Decoders Can Circuit Alignment Predict OOD Generalization? Integrating Language Models into Listened and Imagined Speech Decoding from MEG VC Dimension and Expressivity of Real-Valued Transformers Is invariance all you need for algorithmic fairness? Removing demographic information can create new bias Human Activity Recognition via Ultra-Wideband Data: A Framework for Dimensionality Reduction, Pattern Discovery, and Predictive Modeling Representation Learning for Exact Preimages Interactive Distributionally Robust Multi-Agent Learning with General Function Approximation Graph Forward Distribution Matching for Molecular Inverse Design Depth Laws for the Precision Floor of Trained Neural Networks: Amplification, Residual Scaling, and a Quantization-Aware Training Paradox When Should a Human Take Back Control? Optimal Delegation under Turbulent AI Risk Emergent One-Third Scaling Law as Attention Tries to Concentrate LLM Unlearning Evaluation with TRIAGE An Attention-Driven Heterogeneous GNN Model for Credit Card Fraud Detection SAMBAR: Selective Anchoring via Method of Multipliers for Balanced Knowledge Acquisition and Retention in Vision-Language-Action Models How Reusable Are Benchmarks with Richer Feedback? Handwritten Digit Leakage from Smartphone Motion Sensors Across Unseen Users and Phone Models What Should We Freeze? Guarded Freezing: Connectivity Shapes the Fine-Tuning of Pretrained Models Latency-Aware Client Assignment for Parallel Split Learning With Global Sampling REALM: Regime-Switching, Explainable, and Activation-Induced Linear Models Spectral Reversal: Counteracting Singular Value Bias for Graph Prompting Playing to Par: Reinforcement Learning for Provably Optimal Quadrilateral Block Decompositions CAFE: Counterfactual Prediction via Fast Posterior Estimation Uncertainty-Aware Selection of Online Algorithms with Simulator Ensembles Efficient Support Recovery of Mixtures of Sparse Linear Classifiers with Less Measurements Analytic-Walk Rotary Positional Encodings for Graphs Rethinking Cross-Channel Importance in Time-Series Forecasting HM-ROUTER: Joint Model and Harness Routing for Agentic Systems DP-Rec: Towards Dynamic Patching for Efficient Long-Sequence Recommendation CompassPlay: Rewarding the Proposer for Where It Moves the Solver "Where Can I Trust You?": Boundary-Aware Evaluation of Surrogate Fidelity Arithmetic Simplicity in Stochastic Gradient Methods Anytime-Valid LLM Leaderboards via Benchmark-weighted and Block-Factorized e-Processes Representation Editing for Multimodal Test-Time Adaptation When Can Old Evaluations Certify a New Model? Label-Efficient Release Decisions under Evaluator Drift Self-Reconstruction Dynamics for Autoencoder Reconstruction Refinement Certification Frontiers for Gaussian LoRA: Independent Priors, Posterior Risk, and Prediction-Preserving Balancing Learning Through Game: Skewed Transfer of Tabular Knowledge to Strengthen Image Model Topology-Adaptive Hyperbolic Graph Attention Networks Guided by the Hyperbolic Sombor Index HyperLabel: Multi-Label Classification via Hypergraph-Based Label Correlation Modeling SIMANF: Sample Free Learning of Unnormalized Distributions via Simulated Annealing in Normalizing Flows A Solvable Theory of Pre-training Data Poisoning: Regime-Dependent Scaling Exponents A Journey to the Edge of Stability FUND: Density Flow for Sampling Unnormalised Distributions Refresh or Realize? Compute Allocation in Drifting Models When Does Synergy Help Active Feature Acquisition? A PID-Based Study On the Capability and Limitation of Hard Prompt What Can a Leaderboard Certify? Compositional Controllability for Fair Evaluation and Training of Biomedical Literature-Review Agents Phase Space Attention:A Hairer Lift Circumvents the Single-Layer Induction Obstruction Superposed Inference for Hyperdimensional Computing Not All Errors Matter: Decision-Relevant Prediction Error Predicts Planning Quality Active Feature Acquisition With Incomplete Training Data Continual Data Unlearning in Diffusion Models via Transition-based Regularization When the Merge Coefficient Stops Mattering: Proximity Regularized Merging for Continual LoRA Adaptation A Comparative Analysis of Attention versus State-Space Models for In-Context Learning Analog-Friendly Predictive Coding without Activation Derivatives Editable Map-Conditioned Trajectory Generation for Human Mobility Simulation Black-Box Auditing of Epistemic Reliability in Multi-Agent Debate Distillation DiffPTS: Rethinking Diffusion ELBO for Probabilistic Time Series Forecasting Graph Memory: Spectral Associative Memory via Dirichlet Energy STRIDE: State-Transition Representation via Increment Dynamics and Evolution Measurement Boundaries in LLM Financial Agent Evaluation: Fixed-Tape Execution and Multi-Defect Auditing Attribution Without a Second Pass: Inline Per-Sample Gradient Provenance at ~1% Overhead TimeES: Probabilistic and Deterministic Time Series Forecasting via Evolutionary Spectra Using Machine Learning to Investigate Predictors of Fasting Blood Glucose: Insights into Circadian Timing and Age Interactions Recovery-Directed Symbolic Distillation of Neural Likelihoods HoTS: Homophily-Aware Temperature Scaling for Graph Neural Network Calibration Beyond the Manifold Hypothesis: Hybrid Spectral Parameterizations for Flow Matching Rethinking Training-Inference Mismatch in LLM Reinforcement Learning: Where It Arises and How to Correct It Length-Independent State Tracking Under a Parallel Scan Write Back the $\Delta$: Revisiting the Same Tokens with Fresh Representations Adapting Nonstationary Multi-output Gaussian Processes to Bayesian Optimization PolyStepOR: Learning to Decide Without Optimal Decisions Bison: Cross-Dataset Learning for Unseen-Compound Perturbation Prediction On the Pitfalls of Verbalized Confidence Priors for Calibrating Large Reasoning Models Fast and Precise Learned Charged-Particle Trajectory Regression at the Large Hadron Collider What Should Federated LoRA Share? FedSAIL via Input-aware Subspace Alignment Elastic Selective Spectral Hybrids for Train-Once, Export-Many Budgeted Inference Neural Dynamics as the Composition of Quantized Units SoFT: Soft Targets for Generalizable LLM Fine-Tuning Rondo: Unsupervised Discovery of Recurring Temporal Structure Fisher Simplicity in Kolmogorov-Arnold Networks and Multilayer Perceptrons What Do Latent Predictive Vehicle Representations Retain? Measuring State, Geometry, and Local Response Does Transolver really need a Transformer? Activation Flow: Manufacturing Activations for Steering What Does a ProcGen Generalization Gap Measure? Action Rules, Convergence, and the Missing Random Floor Shared Autoregressive Context Can Distort Relationships in Synthetic Data Prioritizing Repeated LLM Evaluation for Hidden Failure Discovery Compositional Objectives: Learning Structure in Structure CAESAR: Clustering via Autonomous Embedding-Space Agglomerative Reorganization Trapped by Their Own Rollouts: Understanding Aggregation--Rollout Feedback in Federated On-Policy Distillation DimPO: Dimensionality Reduction for Attention using Preference Optimization Age of Learning: Temporal Persistence of Prediction Errors as a Learning Signal Not Every Term Adds New Structure: Sobolev Novelty for Symbolic Regression AnchorRep: Defending LLMs Against Cross-Model Adversarial Transfer via Representation Repulsion Learning the Graph and the Embedding Together: Classifier-Independent Rewiring for Heterophilic Node Classification Stabilizing the Dynamic Low-Rank Training Intuition vectors Extremely Fast and Compact Binary Graph Representations via Randomized Operator Sketching Quantization-Aware Pre-Training with Constrained Empirical Weight Distribution Equivariant Neural Primal-Dual Assignment for Maximum Common Edge Subgraphs Distance-KV: Exploiting Relative Distance for Efficient Long-Context Inference Timestep Weighting: A Hidden Key to Effective ELBO-Based Flow-Matching RL STAMP: Predicting Out-of-Distribution Generalization without Target Data SIFT: Enhancing Time Series Foundation Models via Semantic Invariance and Structural Fidelity Fine-Tuning The GUI Is Not the State: Diagnosing State Aliasing in GUI World Models Self-Evolving Time-Series Forecasting Agents with Episodic Memory and Online Policy Learning BiasReducer: Adaptive Bias Mitigation for Reward Models Scaling Properties of Same-Family On-Policy Distillation Distributionally Robust Average-Reward Reinforcement Learning: Finite-Sample Guarantees under Weak Communication Predicting the Financial Impact of Supply Chain Risk for Major AI-Related Semiconductor Firms: A Heterogeneous Graph Patch Transformer Approach Benchmarking EEG Foundation Models at Scale: Lessons from 20,000 Evaluations Reuse or Relearn? A Spectral View of Earth Observation Foundation Models The Extender: A Log-Structured Transformer AnchorMixGAN: Anchor-Aligned Generative Semi-Supervision for DDoS Detection in Cloud-Integrated IoT Networks Structuring Relations Among Learning Paradigms via Protocol--Objective--Resource Reductions Continual Learning via Self-Probe Gradients Beyond Gaussian Assumptions: Distribution-Aware Channel Capacity for Effective Connectivity Robust Bayesian Optimization with Q-Exponential Surrogates Learning When to Recur: Token-Adaptive Recursion for Imbalanced Ophthalmic Domain Incremental Learning Getting Motif-ated: Controllable AI Compositions from Injected Motif Prompts FedHV: Low-Overhead Hypervolume Weighting for Federated Multi-Objective Optimization Understanding and Exploiting Anisotropy in Post-Training Derivative-Informed Training of Neural Operators On-the-Fly via Sketched Tangent Consistency Mind the Spike: Mechanisms and Brittleness of Visual Massive Activations in Large Vision-Language Models Change the Product, Keep the Parameters: Associative Algebra Layers for Transformers Retimed Bellman Flows: Escaping the Impossible Triangle of Velocity Bootstrapping UniCache: Task- and Type-Aware KV Cache Compression for Unified Multimodal Models Over-the-Air Federated Learning in Heterogeneous Mobile Wireless Networks Permutation-Equivariant Flow Matching for Alignment-Free Neural Weight Generation HamiFormer: Dual-Expert Diffusion Fields with Affine Symplectic Maps Transfer Learning for Edge Classification on Dynamic Text-Attributed Graphs Logic Gate Networks and Lookup Table Networks as Lightweight Hardware Classifiers for Inter-patient ECG Arrhythmia Classification Muon Under Gradient Noise and the Limits of Orthogonalization Near Optima Staying on the Attractor: Supervising Neural Surrogates of 3D Turbulence Where They Leave It Refreshing Less, Selecting Better: Reusing Stale Gradient Features for Efficient Influence-Based Data Selection Measurement-Gated Provenance Attenuation for Frozen EEG Representations A Function-Level Vulnerability Score Measures Flag Rate More Than the Model: Protocol Effects on Paired Benchmarks Optimizing H-Graph Hybridization for Diffusion-Guided RRT When Less Compute Is More: Adaptive Early Exit Improves Pretrained Outlier Detection Predicting the Next State Is Not Enough: JEPA Representations for Lean Theorem Proving Allspark: Weak to Strong Transfer via Alternating Chain of Thought Adaptive Latent Capacity for World Models The Geometry of Logic: Stratification Induces Semantic Structure and Robust Reasoning Phenomenon-Graph JEPA: Label-Efficient Representation Learning for Contactless Cardiorespiratory Sensing Efficient Dynamic Algorithms for Graph Neural Networks with Non-Linear Propagation Counting on Thinking: Tracing Evidence Integration in Language Models Last-Iterate Guarantees for Online Reinforcement Learning in Structured Constrained MDPs The Impact of Stochasticity on the Rashomon Effect in Machine Learning Theory of Scene: Breaking the Symmetry Trap in Multi-Agent LLM Coordination TwinS-GCN: Spectral conjugate for Spectral Graph Convolutional Networks Generative Priors Conditioned on Natural Language for Bayesian Inversion in PDEs Optimal Nonparametric Dynamic Pricing with Censored Demand and Adversarial Inventory Constrained Flow Policy Updates: A Generalized Schr\"odinger Bridge View Efficient Message Passing for Partial Differential Equation Priors Beyond Token Savings: A Systematic Study of Context Compression in LLM Agents Clipped or Unclipped? Finite-Sample Trade-offs for Averaged SGD under Heavy-Tailed Noise Self-Confirming Superposition Traps in Reinforcement Learning Adaptive Ensemble Selection for Noisy Labels on Tabular Data Feasible Flow Matching for Graph Reconstruction via Within-Sampling Primal-Dual Guidance What Should Data Teach? Moving Bottlenecks Across Circuit, Store, and Use Saturation-Insensitive Dueling Bandits with General Function Approximation Relative Generalization Invariance of LLM Pretraining Low-Rank Single-Index Bandits with Unknown Links: From Matrices to Tensors \L{}ukasiewicz Neural Networks Extended: Residual Architectures and Crystallization Strategies for Interpretable Rule Extraction What Must a World Model Distinguish for Planning? Balancing Early Performance Sacrifices with Long-Term Gains: Scaling Learning-Rate Warmup Duration Across Training Horizons Cost-free Spectral Estimation for Adaptive Newton--Schulz in Matrix Optimizers DevelopmentODE: Structured Neural ODEs for Early Brain Development Dynamics Across a Decade SketchSSM: Write to the Full State, Read from a Compact Sketch Deep Learning Techniques for Phoneme Recognition in Italian Children' s Speech Zero-Storage Procedural Neural Synthesis via Boundary Dynamics: Formal Verification in Lean 4 and Bare-Metal Gauntlet Validation Algorithmic Harms Associated with Generative Model-Augmented Recommendation Systems KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation The limits of exactness: On the failure of automatic differentiation in physics-informed machine learning From Constitutions to Control: Interpretable Rewards for Aligning Language Models Geometry-Aware Operator Families for Structured Representation Learning How Linear Attention Remembers CARVE: Breaking Data Barriers in Chip Placement by Harnessing Reusable Expertise D-JEPA: Design-Recoverable JEPA Representation with Swappable Physics Decoders Simulation-Free Learning of GP-SDEs from Irregular Observations ECG-Scroll: A Long-Horizon, Streaming Benchmark and Agent Environment for Interpretation of Ambulatory Electrocardiograms Mycelium: A Generalizable Cross-Grid Multi-Task Model for Electrical Distribution Systems Save Your Saturated Data: Learning Beyond Reward Saturation in Group-Based RL Policy Plasticity Matters in Offline-to-Online Reinforcement Learning: Refitting Offline Policies for Online Adaptation Flow-Matching-Based Protein Structure Tokenizer Made Efficient and Easy ILP-BO: Integer Linear Programming-Based Black-Box Optimization Leaky Students: Membership Inference against On-Policy Distillation Beyond the Training Horizon: Mechanisms and Limits of Length Generalization in Looped Transformers CFLoRA: Federated Fine-tuning of LLMs with Complementary Factors for Error-free Aggregation Convergence of Practical Muon Downstream-Aware Context Selection for Online In-Context Reinforcement Learning When Does Backpropagating Through Policy Memory Matter? Physical Credit, Optimizer Updates, and Observability Perturb-and-Solve: Efficient Learned-Operator Conditioning for Latent Diffusion Inverse Problems When an Evaluation Rule Writes Training Labels: Measuring Human-Reference Forgiveness in NAVSIM AG-CoT: Verified Algorithmic Traces for LLM Program Synthesis on Clifford Circuits Apparent Compression, Real Stability: The Intrinsic Dimension of Learning a Quantum Wavefunction Orthogonal Witness Control for Muon Optimization via Sigmoid Spectral Reshaping Teach Yourself Where to Look: On-Policy Attention Self-Distillation for Reasoning SMORE: Stability-Promoting Mesh-Agnostic Model Reduction for Time-Dependent PDEs When Do Models Admit They Are Wrong? Failure Disclosure Is Unstable Under Reinforcement Learning RMB: Reward Model Boosting Mitigates Reward Hacking MTLiquid: Enabling Efficient Multi-Task Learning using Liquid Neural Networks for Lightweight Healthcare Monitoring Systems The Price of Locality: Why Forward-Forward Underperforms Backpropagation? Minimax-Optimality of Posterior Sampling for Reinforcement Learning Feedback-Robust AI for Patient Knowledge Graphs BERT4DTI : BERT-based Model for Predicting Drug-Protein Interactions Two Heads Are Better Than One: Aggregating Weaker LLMs for Better Forecasts GTRL: Grounding Divide-and-Conquer Value Learning with Temporal Differences Towards Identifiable Representations under Misspecified Structure Domain Generalization under Sampling Pattern Shifts in Irregular Time Series Direct Hidden-State Alignment: Mapping and Controlling Preference Expression in LLMs BITS: Rethinking Fair and Comprehensive Evaluation for Irregular Time Series Forecasting ZeroGAR: Benchmarking the Adversarial Robustness of Zero-Shot Graph Models When to Evict, Not What to Keep: Draft-Guided Eviction for Training-Free KV-Cache Compression Beyond Conservatism: Recoverability-Conditioned Exploration for Model-Based Imitation Learning Safe Score Matching: Diffusion Policies with Hamilton-Jacobi Reachability for Online Safe Reinforcement Learning RAEGL: Risk-Aware Evidence-Gated Learning for Selective Contextual Routing under Temporal Shift CalibHyper: Chance-Corrected Relational Hypergraphs for Few-Shot Molecular Property Prediction MultiEcho: An Experimental Science of Learned Worlds KoopCell: Koopman-Based Generative Model for Learning Single-Cell Dynamics from Distribution Snapshots How Much Imprecision is Enough Imprecision in my Classifier? A Practical Elicitation Procedure The Selection Rule Decides the Winner: A Pre-Registered Audit of Open-Set Graph Anomaly Detection TNF based Spectral Embedding for Effective Application of Supervised Machine Learning Techniques in Automobile Insurance Fraud Detection Optimal Transport Dropout for Structured Predictive Uncertainty From Grey-Box to Green-Box: When can Physics-Informed Machine Learning Reduce Carbon Footprints in Structural Health Monitoring? Beyond Timestamps: Decision-Aligned On-Policy Distillation for Long-Horizon Agents AutoHGNN: Robust and Efficient Neural Architecture Search for Hypergraph Neural Networks Decoupling Token Roles in Autoregressive Pretraining StarBOA: Real-Time Mamba State-Space Unrolling for Sparse Radar Micro-Doppler in ISAC Networks FoldAttention: Declared-Reference Softmax for Fast Decode and Deterministic Backward Investigating the Effect of k-NN Preprocessing on Developing Graph Neural Networks: A Fairness-Based Perspective A Light Bilevel Refinement Aligns Self-Supervised Representations for Stronger Task-Specific Learning MoGround: Measuring and Mitigating Modality Distraction in Vision-Language Models SchemaMem: Schema-Indexed Recurrent Memory for Delayed State Retrieval SMAT: Simple and Efficient Merge-Aware Training Elucidating the Design Space of Regression-based Diffusion Reinforcement Learning A Free Knob: Decoupling Calibration and Predictive Skill in Threshold-Based Evaluation A Cheap Verifier is Good Enough: LLM Post-training is Robust to Erroneous Rewards Geometric Identification in Predict-Then-Optimize Learning How Synthetic Labels Improve Conformal Prediction: A Perspective on Conditional Coverage What masking geometry works best for EEG foundation models? Predicting Block-Coordinate Performance via Cross-Curvature Chameleon: Dynamic Format Adapter for Efficient Diffusion Hamiltonian JEPA: Action-Conditioned World Models with an Inherited Control State The cost of useful natural gradient updates Pulseflow: PPG Counterfactual Generation Via Latent Transport Source Anchoring for Physical Consistency in Flow Matching Models SLP-ProbHard: Probabilistic Hard-Constrained Learning via Structural Latent Parameterization LLM4Trust: Exploring the Capabilities of Large Language Models for Trust Evaluation Discovering Symmetries in Neural Network Parameter Spaces Does Execution Require Target KV Fidelity? A Mixed-Fidelity KV Runtime for LLM Serving TerMeZO: Ternary Sparse Zeroth-Order Optimization for Fine-tuning BitNet Models at the Edge Fine Until Fine-Tuned: Repeated Solutions Make Reasoning Fragile GraphSelect for Budgeted Representation Selection in Multimodal Graph Inference OOD Generalization as a Bifurcation Problem MA-JEPA: Joint-Embedding World Models for Multi-Agent Reinforcement Learning Correct then Forecast: Observer State-Space Models for Time Series Forecasting HiLoRe: What to Store, Compress, or Recompute for Efficient GRPO Training Compressing Value Predictions for Learning-Augmented Metrical Task Systems Approximating Softmax in Pretrained LLMs: Model Sensitivity and Kernel Acceleration TGRL: Temperature-Grouped Reinforcement Learning for Efficient Exploration in LLMs Pretraining Transformers with Quantized Softmax in Attention Short-Length Code Designs for Integrated Sensing and Communications: A Deep Learning Approach Hierarchical Response Preservation for Continual Adaptation of Zero-Shot Graph-Text Models You Only Edit Once: Incentivizing In-Context Capability of LLMs via Local Demonstration Refinement Learning Dynamics of Continual Learning: A Unified View of Data Attribution, Forgetting, and Plasticity Loss Climbing the Hill: Prompt Injection Red-Teaming Against Frontier Models with Curriculum Reinforcement Learning Quantifying Behavioral Tails in Black-Box Language Models SafeMol: Dual-Modality Safety Alignment for Molecular Multimodal Models From Distributions to Stochastic Processes: Neural Approximation of Measure-Valued Maps FuseAlign: Forced Alignment in the Wild Towards Eliminating Catastrophic Forgetting in the Curriculum Learning of Math Reasoning Tasks Scalable Attribution and Control of Model Behavior During Training Reachability is not enough: Diagnosing long-range behavior in GNNs Benign Overfitting for General Norms and Distributions T-MoXAI: A Hierarchical Explainability Framework for Temporal Multimodal Data Dynamic Kuramoto-Hodge Operators for PDEs on Complex Geometries and Topologies Geometric Inductive Biases for Semi-Supervised Equalization: The Constellation-Aware Transformer A Spectral Theory of Compositional Learning DuoOPD: Learning from Joint Teacher-Student Outcomes for Multi-Task On-Policy Distillation Theory Guided and Interpretable Neural Operator Design for Partial Differential Equation Learning BOReFT: Manifold Steering of Language Models for Black-box Optimization ALDER: Discovering the Laws of a World by Acting in It PQ-HSA: Reusing Product-Quantized Scores for Hybrid Sparse-Approximate Attention Task-Aware Discretization of Differentiable Logic Gate Networks ResDiffFRG: Residual Diffusion for Multiple Appropriate Facial Reaction Generation Collaborative Synthetic Data for Privacy-Preserving Financial Fraud Detection Across Organizational Silos Oracle-Efficient Online Classification with Stochastic Inputs and Adversarial Outputs StatD2GAN: When Calibration Masks Generator Quality in Held-Out Evaluation of Synthetic Weather Sequences Beyond Fixed Features: Architecture-Dependent Sensitivity to Node Representations under Heterophily DEALS: Decentralized Expertise-Aware Load Serving for Multi-Agent LLM Systems Selecting Diverse SFT Traces Improves Post-RL Generalization Surprising Success, Repeated Failure: Entropy-Guided Credit Assignment for Exploration in LLM Reasoning Do We Really Need KL Divergence for On-Policy Distillation of Large Language Models? Binding Multiple Modalities via Multimodal Wasserstein Barycenter Diffusion Reward Models MinkowskiPE: Minkowski Positional Encoding for Spatiotemporal Perception dOPT: Differentiating Conic Optimization via Geometric Reduction ChemOPD: Multi-Teacher On-Policy Distillation for Multi-Task Chemical Reasoning QwenGyre: An Elastic Reinforcement Learning Framework for Training xLong-Horizon Agents Rethinking Contextualization by Reinterpreting Attention Head Channels PI-NOMT: Physics-Informed Neural Optimal Mass Transport for Brain Fluid Dynamics JET: Justification Evaluation in Transformer Vanilla Policy Optimization Is Both Optimal and Differentially Private for Stochastic Contextual Bandits Where Activation Sparsity and KV-Cache Sparsity Cross in LLM Decoding Augmented Feature Boosting for Multicalibration MISHAP-Bench: A Hallucination Benchmark for Large Audio-Language Models No Free Efficiency: Revisiting the Trade-off Between Training Efficiency and Model Vulnerability Finite Probes Suffice: Identifiability and Universality for Weight-Space Learning On the Two Faces of Adam in Separable Linear Classification JIVE: Jacobian-Informed Volume Expansion for Diverse Generative Sampling Training Witnesses: Trusting the Training without Trusting the Trainer Optimizing the Phi-2 Small Language Model for Real-time Chatbot Applications Using Parameter-Efficient Fine-Tuning (PEFT) with QLoRA Quantization Diffusion-Based Rollouts as a Stabilization Mechanism for Long-Horizon Environmental Forecasting How Strong Is the Evidence for the Artificial Hivemind? Reevaluating Evidence for the Open-Ended Homogeneity of Language Models Behavioral Monitoring of JEPA World Models with Jacobian Centroids GroupMask: Layer-Adaptive Group-wise Sparsity for Semi-Structured LLM Pruning DynGraphAgentBench: A Benchmark for Agentic Lifecycle Control in Dynamic Graph Anomaly Detection Future Information-Directed Sampling for Bayesian Nonstationary Bandits From HL to H+L-1 Parameters: A Hankel-Toeplitz Forecaster for Long-Term Time Series Forecasting ICMAPE: In-Context Multiagent Pure Exploration ASTRA: ADMM-Accelerated Topology Reconfiguration for Dynamic Satellite Constellations T-SNN: Temporal Simplicial Neural Network for EEG Decoding RICE-Alpha: Reliability-Informed Correction with Event Graphs for LLM-Agent Stock Forecasting Fisher-Informed Recalibration for Feedback-Based On-Policy Self-Distillation of LLMs When Known Physics Helps Neural PDE Models: Residual Constraints Out-Regularize Generic Priors for Nonlinear Dynamics LTV-CTDNet: Compositional Turning Decomposition for Short-Term Turning-Movement Forecasting SR4-Fit: A Unified Interpretable Rule-Based Machine Learning Framework for Informative and Trustworthy Decision-Making Structure-Adaptive Tree Field Integrators Posterior Regimes and Latent Deception: Variational Bayesian Inference in Hidden Markov Models for Sequential Fraud Detection in Financial Transactions UOPD: Uncertainty-Aware Intervention for On-Policy Distillation of Multi-Turn Agents Vision--Language Signals in Constrained RL: Safety Gains Without Anticipation PReCache: Efficient KV Cache Sharing for Multi-LoRA Agents via Low-Rank Precomputation and Neutral Reconstruction Steering Language Model Goals with Value Transplant Do World Models Learn Global Understanding? KVCMAS: Efficient KV cache Correction for Shared Context in Multi-Agent Systems Counterexamples to Local Reconstruction Gain as a Proxy for Final Fidelity in Residual Completion Learning Perturbation Robust Policies for LLM Agents with Stable Optimization FLARE: Flow Matching with Local Axis-Angle Representations for Stochastic Micromagnetic Evolution MaskCoFT: Masked Co-Adaptive Fine-Tuning for Memory-Efficient MoE Inference Beyond One Epoch: Uncertainty-Weighted Sensitivity Regularization for Recommendation Models TRACE: Expert-Aligned ECG Representation Learning with Rigorous Benchmarking and Real-World Validation in Acute Cardiac Care When Is an SAE Feature Interpretable? A Validation Ladder for EEG Foundation Models Beyond Correctness: Evaluating Semantic Knowledge in Cross-Table Transfer Evolution of fairness in multi-objective reinforcement learning framework SlimWise: Decoupling Expert Pruning Across Prefill and Decode for Efficient MoE Serving Probabilistic electrical power demand forecasting with uncertainty quantification What Does a Stream Model Buy You in Flow Matching? Training and Inference Dynamics of PLDR-LLMs: Row-Map Collapse, Renormalization, and Predictive Reduction ExpertoRhythm: Morphology-Aware Learning for Waveform Reconstruction and Cuffless Blood Pressure Estimation from Single-Channel PPG SPINET: Sheaf Protein Inverse Folding Network Transfer Calibrated Prediction Powered Inference WorldGraph: Graph-Native World Modeling Hidden Activations are not Enough I: Knowledge Matrices as Higher Representations GPARA: Graph-Posterior-Aligned Refinement and Active Acquisition for Grounding Diffusion Priors GradLev: Token-Parallel Test-Time Training Via Costate Prediction EntroPack: Fast and Accurate Entropy-Coded Weight Compression at Arbitrary Bitrates Cardinality-Stratified Interaction Decomposition for Interpretable Pairwise and Higher-Order Structure in Transactional Basket Data Frozen Judges, Moving Agents: Version-Dependent LLM-Judge Error and the Limits of Judge-Assisted Agent Evaluation Learning to Optimize through Solver-Grounded Self-Play X-MoD: Practical Scaling Laws for Sparse-Depth Routing Beyond Mixture-of-Depths Loop Dropout: Regularizing Shared Updates in Looped Language Models SleuthBench: Benchmarking Statistical LLM Evaluation Using Tabular Hidden Signals CasEm: A Cascade Architecture for Long-Horizon Neural Emulation DreamingGoose: Staged Distillation from Autoregressive Transformers to Bidirectional Recurrent Diffusion Language Models Rotated Manifold Optimization for Low-Rank Adaptation ZeroCode: On-demand Error-Correcting Code Construction from the Zero Matrix via Reinforcement Learning Broken Symmetry in BF16 Attention: Why FlashAttention Gradients Blow Up Late in Training Direct Self-Evolving Optimization: Evolving LLMs without Challenger Training Agentic High-Dimensional Bayesian Optimization with Hypothesis- and Evidence-Guided Search Epistemic Learning from Imprecise Annotation One Sequence, Many Decodings: CAGenMol-2 Recasts Drug Design as Masked Molecular Inference Riemannian Difference-of-Convex Optimization for K-Means Clustering One Rollout Is All You Get: Fully Test-Time Adaptation for GUI Agents Routing Without Embeddings: Fast And Interpretable Routing With Regular Expressions The Composition Gap in Dataset Distillation Learning to Steer, Steering to See: Unveiling the Geometry of RLVR in Large Language Models via Trainable Vectors Commutator Memory: Sparse, Path-Local Reading and Steering in Language Models FAST-Brain: A Flow-Aligned Spatio-Temporal Surrogate Brain Model FORGE: Form-Optimal Routing of Grounded Evidence for Frozen LLM Agents Spexis: Speculative Lookahead Scheduling for LLM Inference Emergence, Not Bandwidth: Physical Coupling and the Limits of Learned Multi-Agent Communication ABC-Align: Prediction-Powered Alignment with Adaptive Bias Control LRC-JEPA: Disentangling Dynamics and Residual Context for Efficient World Models GeoCFM: Positive-Only Conditional Flow Matching for Mineral Occurrence Sampling Unlocking Few-Step Diffusion for Faithful Previews MASCIT: A Mask-Aware State Space Classifier for Naturally Irregular Time Series PROACT-Agent: Progressive Runtime Oversight and Active Circuit-breaking for Real-Time Safety MegaGraph: Towards Efficient Training of Large-Scale Graph Transformers with Automated Hybrid Parallelism Coding Agent Memory Post-training: Unlocking the Memory Potential of Pre-trained File Operations for Long-Horizon Tasks via Reinforcement Learning On the Relation Between Interval Regret and Dynamic Regret Q-learning Penalized Transformer for Safe Offline Reinforcement Learning LLMs as Adaptive Meta-Solvers: Strategy-Diverse RL for Industrial-Scale Optimization Harmonizing Spectral Evolution in Conditional Flow Matching for TTS Admissible Diffusion for Multimodal Interventional Trajectories Making LLMs Truly Forget: Deep Unlearning by Searching, Selecting, and Severing Knowledge Paths Livin' on a Prior: Likelihood Score Approximation for Inverse Problems SPACE-LoRA: Allocating Activation-Subspace Protection for Continual Learning ZonoGPT: Towards An Abstract Domain for Verifying Large GPT Models PhysioTRACE: Provenance-Aware Stress Tests for Physiological Foundation Models Alignment-Guided Flow Transformer for Efficient Vision-Language-Action Policy Learning Deep kernel hedging Causal Routing for Unlearning Learn Here, Move Less Elsewhere: Input-Conditioned Plasticity from Retained-Domain Activation Atlases FlexLoop: Depth-Elastic Looped Policies for Adaptive Test-Time Computation in Deep RL When Less Data Favors Smaller Teachers: Rethinking Teacher Capacity and Data Selection for Knowledge Distillation M3OS: A Monte Carlo Graph Search-Orchestrated Multi-Agent LLM System for Evidence-Traced Molecular Optimization LLN: Learnable Lens Networks for Parameter-Efficient Long-Horizon Dynamical Prediction QAMM: Adjoint MeanFlow Matching for Few-Step Offline Reinforcement Learning Scalable GNN-based Knowledge Graph Representation Learning with Efficient Message Passing Distribution-Conditioned Task Routing for Class-Incremental Learning KiT: A Foundation Model for Financial Time-Series Forecasting using DiffusionTransformers Low-Confidence Remasking Traps Flexibility: Realizing Arbitrary-Order Potential for Diverse Rollouts in Diffusion LLMs HALO: Enhancing Time Series Generation via Hyperspherical Latents and Masked AutoregRessive Modeling Shallow Queries, Mature Values: Depth-Asynchronous Self-Speculation for Looped Transformers On Parameter Symmetries and Conservation Laws in Gradient Flow Verifying Neural Networks with Reinforcement Learning PulseInfer: I/O-Centric Sparse KV Cache Offloading for Efficient Long-Context LLM Decoding Brain-Conditioned Action Policies for Neural Motor Decoding Single-Layer MeMo as a Randomized Hamming-Kernel Classifier Retracing Hodgkin and Huxley: State Recovery Does Not Certify Mechanism Compute Time Scaling with Recursive Models for Combinatorial Optimization Deep Weighted Bellman Residual Minimization for $Q^*$ Estimation The Low-Rank Structure of VLA Reinforcement Learning When local gains fail to transfer: Frozen Earth-observation embeddings across wildfires Shaping Persistent Representations from Independent Interactions PMOPD: Task Ordering, Cycling, and Parameter-Update Subspace Protection in Multi-Teacher On-Policy Distillation Beyond Site Agreement: Re-estimation for Brain Network Generalization Learning Regional Snow Water Equivalent and Snow Height Variations from Sentinel-1 InSAR Acquisitions Evaluating Dynamical Fidelity through Predictive Structure in Physical Representations DisKO: Deep Koopman Learning in Distribution Space from Unpaired Snapshots GenMem: Generative Symbolic Memory for Self-Evolving Harness Correction-space Cross-variate Interaction for Test-time Adaptation in Time Series Forecasting Uniform Race: Parameter-Free Approximate Rejection Sampling Tilted Schr\"odinger Bridge Matching Universal Dynamic Portfolios When Can Attention Heads Be Statically Defined? Minimax Last-Iterate Convergence in Matrix Games with Observed Actions FestDPO: Few-step Generator Alignment with Direct Preference Optimization Learning What to Recall: Adaptive Multi-Cue Episodic Memory for World Models From Preference to Reciprocity: Decentralized Matching with Empirically Grounded LLM-agent Based Modeling QuantForge: Discovering Residual Decompositions for MXFP4 Post-Training Quantization SOLAR: A State-Driven Online Learning Rate Scheduler for LLM Pretraining AgentPerfBench: A Benchmarking and Evaluation Suite for Inference Performance of Agentic LLMs Predicting Delayed Train Trajectories on the Dutch Railway Network: Explainable AI Evaluation of Topological, Operational and Weather Features with Tree Based Ensemble Methods Learning Propagation Geometry from Message-Passing Feedback Quality Determines Direction, Length Shapes Magnitude: Length Control for Open-Ended Reinforcement Learning Edge-Level Automorphism in GNNs: A Quantitative Framework and Effective Designs For Link Prediction Predictive Dual Smoothing for Column Generation No Pain, More Gain: Iterative Merging for Effective Multi-Teacher On-Policy Distillation A Unifying Framework of Concept-based Explainable AI with Completeness Guarantees Instance-Adaptive Prompts as Context for Time-Series Foundation Models Separating personal from population gains when calibrating EEG foundation models for new users Polylogarithmic Nash Regret in Matrix Games with Bandit Feedback Gaussian Neural Networks Structured Neural SDEs for Functional Calibration DivOPD: Spread Wide, Look Close for Asynchronous On-Policy Distillation of Multi-turn Agents QiYao-M: Multimodal Time Series Foundation Model with Role-Aware Modeling of Endogenous and Exogenous Modalities Context-dependent time-series prediction via HyperReservoirs When Sparse Reward Meets Dense Distillation: Training Dynamics of On-Policy Distillation Learning High-Risk High-Precision Motion Control Beyond Verbalized Confidence: Calibrating Reasoners with Differentiable Readouts Attention-based Hierarchical Variational Information Bottleneck for Robust Multi-Agent Communication under Variable Bandwidth From Attention Sensitivity to Layer Role: Revisiting Mixed-Precision Quantization of Transformers Reference-Tail Trust:Certified Probability Floors for Learned Updates Inside a Deployed Network Muon Sublates the Edge of Stability in LLM Pretraining Drug-Target Interaction Prediction via Hierarchical Sequential Cross-Attention over Chemical and Protein Language Models Audit the Scaffold, Not the Checkpoint: A Stationarity Dichotomy for Recursive Self-Improvement in Agentic Coding Sample What You Say: Aligning Language Models to Sample the Distributions They State Don't Forget! Decomposing the Training Dynamics of Memorization in Language Models XMatch: Enhancing Covariate-Aware Time Series Forecasting through Tree-Structured Exogenous Matching Adjoint Guidance Flow: Amortized Critic Guidance for VLA Policies ALICE: In-context, Zero-shot, Mutual Information Estimation Cyclostationary Phase Conditioning for Medical Time Series Diffusion See it, Say it, Sorted: Mechanistic Diagnosis and Parameter-Space Mitigation of Emergent Misalignment in LLMs Teach to Learn: Hint Annealing for Self-improving LLM Reasoning Inspector: Conversational and Lightweight Analyzer of Analog Circuit Layouts Using LLM and CNNs ORPG: Reconciling Multiple Reward Objectives through Objective-wise Policy Gradients MaPP: A Unified Marginalized Posterior-Predictive Framework for Data-Efficient RLVR Composable Decoding on the Probability Simplex: Theory and Implementation Price Stability in the European Union: A Systemic Approach Using Random Matrix Theory Addressing Spatial Indistinguishability in Spatiotemporal Prediction via Optimal Transport-Guided Masking VEX-Bench: Benchmarking Verification Complexity of LLM-Generated Misinformation Fast Learning Rate Transfer in Shallow Linear Networks at Growing Training Horizons THEIA: A Multimodal Dataset and Benchmark for Vision-Language Analysis of Layout BA-DPO: Bias-Adjusted Direct Preference Optimization for Language Model Alignment Universality and Generalization of Causal Transformers Across Context Lengths TIDE: Teacher-Student Transition via Informative Distillation and Exploration for Agentic RL Beyond Gradient Flow: Identifiability and Recovery from Distribution Snapshots Depot-Closed Multi-Component Construction for Neural Vehicle Routing Not All Rollouts Are Worth Learning: On Trajectory Valuation for Post-Training Reinforcement Learning Interrelating Fruchterman-Reingold Graph Visualization and Agglomerative Clustering ReCo: When to Relocate Sensor Kits under Deployment Constraints -- A NILM Case Study Propagate, Then Sharpen: Post-Hoc Refinement of Frozen Node Classifiers Cross-Rollout Bellman Closure for Long-Horizon Agentic Reinforcement Learning GraphHCA: Closed-Form Hindsight Credit Assignment for Long-Horizon LLM Agents Retrieval-Augmented Diffusion Modeling for Stochastic Discount Factor Portfolios SpikeLite: Lightweight Spiking Neural Networks for Time-Series Forecasting E3J: An Efficient and Open-Source Backend for Euclidean Equivariant Operations on GPU and TPU DRIFT: Disentangled Responsive-Invariant Flow Transport for Single-Cell Perturbation Prediction SymbolicArena: A Unified Infrastructure for Benchmark Distillation and Dynamic Evaluation in Symbolic Regression A Multimodal Autonomic Sensing Framework for Objective Assessment of Patient Responses to Dental Pulp Stimulation Explaining Hyperbolic Neural Networks via Geometry-Aware Relevance Propagation CTP-FL: Common-Trajectory Gradient Prediction for Federated Learning FlexiWorld: Learning and Planning via Flexible Action Chunks Across Multiple Time Scales CacheRepair: Learning to Repair Cross-Chunk Context in RAG for KV Cache Fusion Small transformers track Bayesian evidence for latent common causes via a context-invariant mechanism Learning to Re-Draft: A Variational Stackelberg Game for Discrete Diffusion EdgeCraft: Automated Model Crafting for Edge IoT QAM: Quadratic-Accurate Checkpoint Merging via Sequential Consistency ProtoSeam: Lifting Classifier Training with Latent Gaussian Mixture Models Subgroup Rank-1 Lattice for Practical High-dimensional Black-box Integral Approximation ConRAG: Lightweight inference of multi-hop relations Adversarial Consistency-Guided Representation Learning for Multi-view Clustering Temporal Heterogeneous Graph Pretraining for Relational Deep Learning TANGO: Watermarking Masked Diffusion Language Models in Token Pairs Long-Horizon Scaling: How Model Capabilities Shape the Returns to Computation Disentangling Lung-Cancer CT/LDCT AI: A Systematic Evidence Map of Clinical Tasks, Evidence Chains, and Translational Gaps AIM-ZO: Activation-Informed Subspace Maintenance for Zeroth-Order LLM Fine-Tuning On-Policy or Off-Policy Learning? A Systematic Study of Distillation Dynamics Latency and accuracy tradeoffs in Spiking Neural Networks SpikeCredit: Temporal Credit Carrier for Reinforcement Learning with Sparse Rewards eval-unlearn: Benchmarking unlearning in Text-to-Image Diffusion Models Multi-Attractor GNNs: Set-Valued Expressivity Beyond Unique Equilibria $\lambda$-JEPA Spectral Anti-Collapse Regularization for Self-Supervised Learning Narrow Multimodal Fine-Tuning Can Induce Emergent Misalignment LionMuon: Alternating Spectral and Sign Descent for Efficient Training When Should a Satellite Estimate Be Changed? Stress-Testing Neural Corrections for Evapotranspiration Collaborative Principle Evolution via Evidence Transfer for Scientific Discovery Teacher-Student Gaps Are Not Enough: Outcome-Guided On-Policy Distillation for Multi-Turn Autonomous Agents Weighting Schedules Govern What and When Score-Based Generative Models Learn from Multimodal Data Scalable In-Context Reinforcement Learning with Recurrent Algorithm Distillation Large Language Models for Automated Cross-Domain Machine Learning Task Type Identification: A Benchmark Dataset and Evaluation NeuronDiscover: Agent-in-Twin for Mechanistic Discovery in Neuronal Microenvironments with World Action Models Beyond Teacher Assignment: Domain-Normalized Multi-Teacher On-Policy Distillation From Data to Program: Fast & Direct Generative Program Inference from Empirical Data Quasi Linear Kernel Attention with Infinite Capacity Interference Beyond Geometry in Concept Extraction Fiona: Accelerating FHE Inference with Packing-Aware Ternary Weights d-OPD: Future-Aware On-Policy Distillation for Block Diffusion Language Models Do Temporal Link Predictors Need Learned Memory? A Smoothed-Count Baseline with a Handful of Parameters First Learn, Then Memorize: The Spectral Bias of Diffusion Models Identifying Neural Source Dynamics from Unknown Local Interventions Inductive Feedback for Mixed-Policy Distillation The Hidden Ratio in Adam: Stable Structure, Compression, and Sign Dynamics Persistent Partners Raise Prices Among Learning Agents Frontier Learning: Training LLM Reasoners at the Edge of Capability LLMs are General Asynchronous Agents ReSPO: Reshaped Sequence Policy Optimization for Gradient Starvation in Off-Policy Learning SOLO: Pretraining Billion-Parameter Language Models with Shared-Output Local Learning Riccati State Space Models: Non-iterative Parallelization for Nonlinear Sequence Modeling NeuronSifter: Intervention Planning in CNS Microenvironments Manifold-Stable Flow Matching CLIMB: A Clinical Multimorbidity Benchmark for Diagnosing Co-occurring Conditions through Multiturn Conversations Tetra: Serving Leech-Lattice Quantized LLMs at 2.7 Bits per Parameter An analysis of Mirror-Descent Soft Actor-Critic Universal Approximation of Measure-to-Measure Operators by Pushforwards Physics-Guided Conditional Diffusion Model for Rare Event Synthesis and Diagnosis for the Water-Gas Shift Reaction Structured Latent Modeling for Supervised Multimodal Information Decomposition An RL View of OPD: Least Square Policy Distillation for Sample-Efficient LLM Reasoning Improving Generative Model Self-Training with Geometrically Modified Outputs One Proposal for Every Margin: Zero-Shot Amortized Sequential Importance Sampling for Binary Matrices Reward-Aligned Reweighting for On-Policy Distillation Deep Epistemic Value Functions for Optimistic Exploration GeoGAE: Scalable Graph-Level Autoencoding via Hyperball Cloud Representations Let the Neurons Die: Exploiting ReLU-Induced Model Degradation Optimal Networks for Agentic Information Aggregation Learning the Robustness Mechanism with Bilevel Optimization Graph World Models for Constrained Epidemic Policy Planning Simplex Diffusion Models From Experience to Expertise: Adoption-Aware Memory Learning for Data-Scarce NPU Kernel Synthesis Output-aware Residual Stream Pruning for Large Language Models Hardware-Aware Features for CUTLASS Kernel Selection Control-Geometry Straightening for Sampling-Based Latent Planning Twist, Don't Tilt: Trajectory-Exact Constrained Decoding for Masked Diffusion Models EvE: An Alternate Optimizer to Adam Behavioral Foundation Models for Quality Diversity Attention Graphons: A Graph Limit Perspective on Graph Transformers Cartridges++: KV Cache Compression without Off-Context Derailment Arbitrary-Accuracy Neural Approximation with Optimal Neuron Count and Near-Optimal Bit Complexity SANTA++: Sampling Attention through Representative Keys DR-net-Mamba: Selective State-Space Modeling for Long-Range ECG Time-Series Denoising Bounding Retraining Equivalence and the Deletion Floor in Materials Machine Unlearning Transferable Mass Spectrum Prediction via Reference-Guided Test-time Specialization Rethinking Circuit Evaluation: Do Circuits Explain Model Errors? Rethinking Personalized Generation: Test-Time Alignment via Factorized Ranking Models Provable Benefits of Regularization: Fast Rates for Adversarial Imitation Learning Distillation Defenses Easily Break After Reinforcement Learning MeqMuon: Matrix-Equilibrating Muon for LLM Pretraining A Unified Uncertainty Representation for Graph Neural Networks via Doubly-Spectral Stochastic Expansion ScAn-Bench: Evaluating Scaling Analysis Methodology X-Reset: Scaling Object-Centric Reinforcement Learning via Cross-Embodiment Resets KV-streams for Efficient Compaction in Agentic Reinforcement Learning How to Loop MoE: Flatten the Experts, Untie the Attention Neural Harmonic Measure Operator TokenCast: Forecasting Token Consumption During LLM Agent Execution Unifying Distributional Training for One-Step Visual Generation Kolmogorov-Arnold networks in nuclear binding energy prediction Bidirectional Neural Networks for Global Nucleon-Nucleus Optical Model Calculations Exterior complex scaling enables physics-informed neural networks for quantum scattering FUSION: a skill-based research agent for publicly obtainable nuclear-physics codes Accurate Sampling from Diffusion Models ChestPheNoT: Deployable, Auditable Label-Status-Evidence Extraction from Radiology Reports Measurement-Error-Aware Causal Distributed-Lag Quantile Modeling of Indoor Air Pollution and Short-Term Lung-Function Deterioration PalmLeaf-VQA: A Multi-Script Visual Question Answering Benchmark for Historical Palm-Leaf Manuscript Understanding Across Diverse Regions Distributional sentiment modeling and anomaly detection for consumer complaint assessment Enhancing Foundation Models for Imbalanced SAR Ship Classification via Targeted Oversampling Cross-Dataset Transfer and Unknown-Class Detection in Imbalanced SAR Ship Classification Learning Steadily: Accumulating Relative Point Margin Scores for Face Image Quality Assessment Age-Adaptive Handwriting Reconstruction from an IMU-Based Digital Pen through Shared Representations and Domain-Specific Heads The Temporal Tug-of-War: Visualizing and Detecting RAG Conflicts in Diffusion Models via Trajectory Variance Data Processing for Offline Evaluation in Recommender Systems: a Survey Be Careful Who You Trust: Coordination Dynamics under Corrupted Communication in LLM Multi-Agent Games Statistical Testing for Multiple Instance Learning via Selective Inference with Applications to Computational Pathology Frequency-Domain AI-Generated Image Detection: Exploring Decoder and Channel Attention for Feature Refinement GERIS: A Game-Theoretic Framework for Filtering Instance-Dependent Label Noise in License Plate Data Augmentation Seeing the Heat: Synthesizing High-Resolution Wood Thermal Responses from Optical Imagery Calibration-Free Surface Normals Estimation in Vision-Based Tactile Sensing using Universal Photometric Stereo Acoustic domain shift in spoken language identification from systematic domain generalization evaluation to real-world application What Stops Recursive Self-Improvement in Robotics? Lessons from 123 Rounds of Agentic Skill Discovery Robot Manipulation with GPT-6-Astra: Body Knowledge, Experience Reuse, Emergent Skills, and Sim2Real Transfer Suitable Measures for the Potential Operational Utility of AI NWP Rainfall Forecasts Over Africa Panoptic Scene Program Diffusion Transformer Cross-Modal Knowledge Distillation for Acoustic Pedestrian Detection Convergence-Aware Pareto Selection of Covariate Scaling Transformations for Markov Deterioration Hazard Models: Evidence from Bridge Inspection Data Optimal transport meets speech: a tutorial review Prompting Particle Physics: Tokenized Multi-modal Foundation Models for Combinatorially Many Tasks A Large-Scale Benchmark and Risk Assessment of Traffic Analysis Attacks on Cloud LLM Services Knowledge-Driven XRD Phase Identification via Multi-View Retrieval and Explanation MAESTRO: a Multimodal Auditory-attention Egocentric Speech-TRacking Open corpus GT-VLA: Target-Conditioned Trace Guidance for Generalizable Robotic Manipulation Recipe-Matching, Not Equivalence Artificial Neural Network Assisted Modelling of Tangent Galvanometer Measurements for the Determination of Horizontal Component of Earth's Magnetic Field Transformer MLP Gate Thresholds Are Couplings to a Carried Reference Direction CaptchaArena: A Large-Scale, Fine-Grained Dataset for Training Computer-Use Agents on Interactive CAPTCHAs SNIP++: Fine-Grained Symbolic-Numerical Alignment for Symbolic Regression Bridging Stochastic Flow Maps and Boltzmann Generators with Normalizing Flows Evasion Attacks on Cost-Utility-Based Adversarial Training for Online AutoML in IoT Networks Communication between Frozen Large Language Models via Prompt Optimization in a Referential Game Identifiability Limits of Gravitational Wave Phase Deviations: Multiclass Classification with a Multihead Neural Network What Does the Rank Buy? A Spectral and Distributional Analysis of Low-Rank Adaptation Continuous-Time Trajectory Generation from Discrete Observations with Stochasticity Amnesia by Design, Memory By Necessity: Persistent State for Document Intelligence Correcting the Dropout-LayerNorm Expectation Gap Improves Protein Structure Models Period Segmentation in Transition Network Analysis: A Topological Data Analysis Approach A Unified Optimism-Agnostic Framework for Linear Bandits over Spherical Action Sets Typed Decision Models: An Early Evidence Audit and Evaluation Checklist FOCUS: Fixed-Confidence Online Causal Learning Using Sequential Adaptive Interventions Uncertainty Quantification of Next Generation Reservoir Computing with Applications to Memory-Driven Dynamical Systems Contamination, Prior, or Evidence? Decomposing and Training Evidence Use in Whole-Slide Vision-Language Models High-Probability Guarantees for SGD under $\beta$-Heavy-Tailed Gradient Noise The Judge Is Not Its Twin: Post-training makes a model's writing more predictable but barely moves its taste, as a judge, toward predictable writing SparSP: Exploiting Communication Sparsity for Sequence-Parallel Video DiTs Instruct, Not Answer: Using Instruction Privileges in On-Policy Context Distillation Kernel-Based Steering of CLIP with Vision-Language Model Preferences DegreeSpar: Structured Degree Sparsity for Efficient Secure Transformer Inference Federated Subspace Guided Vision-Language-Action Policy Distillation for Non-IID Multi-Robot Manipulation Certifying Interventional Agreement Among Observationally Equivalent Causal Models Active Data Acquisition with Side Information via Discrete Diffusion Priors Clarify the User or Verify the World? Uncertainty Routing for Proactive Agents Prefill-Free Cross-Family KV Cache Transfer for Heterogeneous Multi-Agent LLMs Before Answering: Evidence Sufficiency under Size-Matched Memory Construction Overfitting of Spectral Gradient Descent: How Matrix Geometry shapes Generalization and Implicit Bias Neural ODEs Meet Concurrent Learning: Stable Online Learning with Lyapunov Guarantees TRAP: Understanding and Mitigating Privacy Memorization in Language Models Train4Merge: A Controlled Single-Teacher Study of RL vs. SFT Teachers for OPD-Based Model Merging All On-Board: Fully On-Chip Neuromorphic Q-Learning with Embedded CartPole Simulation Fewer Tokens, More Self-Teaching: On-Policy Self-Distillation for Extreme Visual Token Reduction Gradients for Interventions and Activations for Detection: Targeted Feature Learning in Language Models SCLATE: a Substrate for Continual-Learning Agent Training and Evaluation Convergent Plug-and-Play Image Restoration with Annealed Noise Levels Memory as a cache: Exact context reuse and deletion by construction AECSF: Adaptive Ensemble Conditional Score Filtering for High-Dimensional Nonlinear Data Assimilation RE-0: Verified Recursive Improvement of Embodied Code-as-Policy Agents through Local On-Policy Distillation PrismQuant: Optimal Null-Space Rotations for Grouped Quantizers Controllable GNN Explanations via Multi-Metric Preference Selection Masking Frequent Tokens Sharpens Direct Preference Optimization What Should the Reflector See? An Empirical Study of Evidence in Reflective Prompt Optimization De-biasing Skeleton-based Action Recognition with Convex Hull Adaptive Shift PULSE: Identifying Demonstration-Utility Features with Sparse Autoencoders Agnostic Smoothed Online Regression with Adversarial Responses JEPA Learns What the Mask Leaves Unrecoverable When Does Dense Retrieval Need Asymmetric Geometry? A Bias-Variance Theory of Shared and Dual Projections TreeRef-BFN: Equivariance-Free De Novo Molecule Generation based on 2D Topology and Internal 3D Geometry Fast Differentiable SVD on GPU via Polar Decomposition REFINE: A Resilient Evolution Framework for Intelligent Enterprise Alert Triage in Security Operations Centers LocalProp: Neuro-Localized Memory-Efficient Backpropagation STR: Supervised Transcoder Replacement for Reducing Steering Side Effects AmbiModBench: Benchmarking Gene Perturbation Prediction Beyond Shared Responses DepthBench: Measuring How Residual Connections Enable More Computational Depth Interpretable Physics Informed WiFi Indoor Localization: Learning an Effective Access Point Geometry and Using It to Prune In-Flight KV Cache with Clean Anchors for Faster Autoregressive Video Diffusion Are Vision-Language-Action Models Robust to One-Step Observation Perturbations? Language as an Independent Information Layer: A Conceptual Model of Communication, Cognition and Decision-Making Groupwise Agentic Grading and Advantage Redistribution for Code Agent RL HERO-MoE: Historical Expert Routing with Scale-Preserving Fusion Think Fast, Plan Selectively: Adaptive Deliberation for Efficient Data-Driven MPC KV-Lingo: Learning KV-Cache Translators with Distillation Learning What to Evaluate: Correlation-Aware Decoupling for Multiobjective Bayesian Optimization Schur-Neural KF: Learned Schur-Consistent Corrections to the Extended Kalman Filter Prediction Limits and Koopman Closure of Geometry-Induced Soft State Abstractions MixBench-TS: A Multivariate Time Series Forecasting Benchmark Where Channel Mixing Pays Off What Would Falsify It? A Variable Specific Evidence Standard for Mechanistic Claims About Self Explanation When Better Gets Worse: Improvement Fidelity for Self-Improving Agents in Adaptive Worlds PINNMorph: Evolving Online Adaptation Policies for Physics-Informed Neural Networks Silent Failures in Agentic Security Evaluation: A Validated Harness for Tool-Call Mediation Under Indirect Prompt Injection Affine Geometry of Gaussian ReLU Networks via Conditional Kac-Rice Formulas Flat-Consensus Diffusion for Robust Data Reshaping under Noisy Evaluator One-Step Generative Modeling via Unbalanced Optimal Transport Revisiting AdaGrad in Stochastic Convex Optimization: Last Iterates, High Probability, and Lower Bounds Domain Adaptation with Target Information via Doubly-Anchored Distributionally Robust Optimization Plan-to-Synthesis: Cross-City Human Mobility Generation via Semantic Latent Flow Matching Gradient-Guided Decoupled Adaptation for Geospatial Vision-Language Models Self-Evolving Multi-Agent Symbolic Discovery for Financial Fundamental Analysis Retrospective Distillation Attribution via Normalized Response Similarity Action Shaping: Policies Absorb What They Can Express SAGE: Semantic Audio Generative Encoder Readout is not Recovery: Dissociating Coordinate Emission from Visual-Corruption Repair in Vision-Language Models An Empirical Study on What Matters for Viewpoint-Generalizable Policies in Visual Imitation Learning Forecasting Intraday USD/CAD Exchange Rate with News-Derived Monetary-Policy Signals Copper-Policy: Focus on the Representation for Robust Robot Manipulation OmniMoE-VL: A Sparse Vision-Language Model with Coupled Visual-Depth Routing CT-OPD: Counterfactual Trace On-Policy Distillation for Diffusion Vision-Language Models CollisionGAT: Controller-Agnostic One-Step Collision Screening for Multi-Agent Motion Re-derivability Decides What a Staged Agent Pipeline Recovers After an Upstream Fault Decision-Sufficient State Representations: Measuring and Reducing Write-Time Regret OpenTumorBoard: A Real-World Benchmark of Multidisciplinary Tumor Board Discussion Trajectories USAI-Quant: A Quantitative Reasoning Benchmark for Vision-Language Models in Built Environments Rank Collapse Is Recoverable, Growing $|Q|$ Is Not: Out-of-Sample Early Warning for Value Divergence in High-UTD Soft Actor-Critic Learning Shuffle Ideals with Membership Queries and Contrastive Examples Routing Drift Alone Does Not Diagnose Failure in Merged MoE LLMs Radiomap Blind Prediction under Incomplete Observation: Error Characterization and Correctable Propagation-Prior Learning Mend the Measurement Gap: Latent User Preference Modeling for Short-Form Video Recommendation VCRE-Fib: View-Conditioned Regional Evidence for Fine-Grained Ultrasound Grading of Schistosoma japonicum-Associated Liver Fibrosis SynCo: Learning Cross-Modal Synergy by Contrasting Interaction Residuals Sliced Orlicz-Wasserstein Is H&E Image-to-Spatial Transcriptomics Simpler Than It Looks? Counterfactual Self-Evolving Agents for Evidence-Grounded Reasoning Machine learning for the LHC physics program: a 2025-2026 stocktake Multimodal LLMs Outperform Pathology Foundation Models in Cross-Domain Histological Similarity Neural Network-Assisted Refinement of Traditional Schemes for One-Dimensional Scalar Conservation Laws EEG-Based Motor Imagery BCI Algorithms and Technologies: A Review The Key Handoff: Retrieval in Hybrid Language Models Distributed Hydrological Modeling in the Feature Space CAPEX: Efficiently Distilling Foundation Model Behavior into Deployable Robot Policies through Experience-Adaptive Reasoning Decentralized Optimization with Cross-Coupled Mixed Affine Constraints Byzantine-Robust Federated RAG via Aligned Calibration and Fixed-Membership Conformal Prediction Improving the Diversity of LLM Outputs without a Trade-off BudgetVerify: Budget-Tiered Verification for Financial QA Reading Too Much into Context: Passive Exposure Can Steer LLM Decisions Parameter-Efficient 3D Segmentation of Liver and Liver tumors: Depthwise factorization Scales Better Than Dense Convolution with Spatial Dimensionality Evolving Dexterous Robots from Scratch Can Tabular Foundation Models Amortize Statistical Inference? CAME: Company-Aware Evidence-Memory Experts for Interpretable Quarter-Ahead Revenue Forecasting Sharp Critical Minimax Laws and No-Learning Thresholds in Continuous-Time Adaptive Control Notes on Generative Modeling for Feedback Control and Planning Dynamic Manipulation with World-Action Models via Counterfactual Planning Scoring the Wrong Question: Readout Failures in Constrained-Option Evaluation Which Self-Improvements Should We Trust? Reliable Self-Improvement When Agents Reuse Their Benchmarks Identifying Temporal Features within Transcoders for Time Sensitive Factual Recall Offline Policy Evaluation via Mixed Bellman Residuals and Adaptive Critic Representations MorphAtt: A Neuromorphic Accelerator for Efficient Multi-Head Attention Processing in Spiking Vision Transformers Beyond Calibration: Do a Typed-Decision Model's Probabilities Obey the Probability Axioms? Schr\"odinger--F\"ollmer Actor--Critic: Diffusion Policy Improvement with Finite-Sample Analysis CORTEX: A Verified Experience Layer for Generalist Agents Modelling non-linear aeroelastic loads in long-span bridges with extreme learning machines The Statistical Benefits of Multiple Responses for Learning from Demonstrations When Privacy Moves ML-Mediated Decisions On Device: Information and Incentive Misalignment in Auctions Agentic Multi-Turn Reasoning: A Fairness Approach QuPID: Quantum Parameter-Efficient Input-Dependent Retrieval Adaptation for Medical RAG Geometry-Adaptive Mechanisms for Private Synthetic Data API Secrets Should Never Become Tokens in the LLM's Vocabulary: A Threat Analysis of API Credential Handling in LLM Agent Systems and an Empirical Evaluation of a Vault-Mediated Execution Boundary Identifying the Predictable Drift of a Semimartingale from Marginal Laws What Survives the Codec Shift: Pooled No-Vocals Residuals for Speech Deepfake Detection Recursive Harness Distillation across Agents for Robot Manipulation Local LMO is Secretly a Projection Method! Let CSP Be Your ANCHOR: Adaptive Crystal Search over Frozen Structure Priors Recovering Lower-Dimensional Semialgebraic Support of a Measure from its Moments A Visual Classification Dataset and Model Evaluation for Historical Manuscript Illustrations Sharp training-conditional coverage for conformal prediction under covariate shift Protected Cores Are Not Enough: Certifying AI-Proposed Revisions of Temporal Specifications Mask-Induced Displacement in Audio XAI via Logit Trajectory Decomposition Domain-Adapted Diffusion Models for Conditional Independence Testing E-CONAN (Entailment, CONtradition And Neutral) Diagnostics Dataset Investigating Linguistic Phenomena in Arabic Natural Language Understanding Neural Scaling Laws of Transformer Operator Network OSCC: Certified Observation-Safe Coupling Optimization for Gradient-Noise Control in Imperfect-Information Learning Calibrated Derivative-Process Sensitivity for Gaussian-Process Variable Selection Sparsity by Default: The Theory and Practice of ARD in Gaussian Process Regression for Variable Selection Terminal-Register Certification for Finite-Measurement Learning of Multiscale Quantum States Beyond One-Step Accuracy: State-Affine Latent Transition for Reliable Visual Planning The Price of Peeking: Anytime-Valid Leakage Detection on ML-KEM EM Traces lapanda: A Matrix-Free Differentiable Solver for Nonconvex Constrained Optimization Layers Scalable and Data-Driven Decision Support in the Maintenance, Repair, and Overhaul Process Demonstration-Free Success-Probability Reward Learning for Generalist Robot Policies Audit-First VAPO: Risk-Certified Selective Updates under Imperfect Verification LieDiscover: Adaptive Symbolic Library Construction for Explicit Open-form Symmetry Discovery RSD-Poker: Structure-Adaptive and Shift-Robust Risk-Utility Certification for Residual Policies in Imperfect-Information Games COGNIT-Guard: Calibrated Standalone Direct-Decision Guardrails with Heterogeneous CPU-NPU Confidence Cascading under Explicit Latency and False-Positive Constraints TopoMamba: A Load-Support Relation-Guided Multi-Directional State-Space Model for Topology Optimization Prompt-Anchored Residual Adaptation for Biomedical Vision-Language Models Non-Adaptive Learning of Sparse Erd\H{o}s--R\'enyi Graphs via Affine Splitting Reliable Replay through Spatial Coherence in Online Continual Learning A Statistical Perspective on Knowledge Distillation: Foundations, Classical Methods, and Large Language Model Extensions Constrained Edit Fields for Training-Free Flow Editing Weighted Spline-Expanded Networks with Distributional Balancing for Continuous Treatment Effects Multi-Marginal Inverse Optimal Transport for Contrastive Learning Via Explicit Anchor-Positive-Negative Coupling YuE2: Unifying Symbolic and Audio Music Generation at Frontier Quality Positions Are Not Facts: The Mismatch Between KV Caches and Memory EfficientAgent: What Makes KV Cache Offloading Work for Concurrent Agents? Taming the Greeks: Option Portfolios with Inductive Biases Tokens Change, Structure Endures: Spectral Watermarking for Generated Speech RAISE: Reinforcing Access Control Policy Synthesis in LLMs via Symbolic Evaluation Autonomous phase discovery Controlling Speaking Rate in Autoregressive TTS via Activation Steering Identical Runs, Different Results: Benchmarking AI Coding Agents on Open-Weight Models Annealed Sinkhorn with Momentum: Certified Unregularized Optimal Transport in Linear Memory Achieve What You Imagined: Learning to Align Actions with Visual Plans One Attack to Fool Them All: Highly Transferable Black-Box Adversarial Attacks on Frontier MLLMs CLIMB-flow: Coupled Linear Inverse posterior sampling via Multiscale-Based flow An Active-Bottleneck Mechanism for Weak-to-Strong Generalization Laya as a Typed Probabilistic Assessor: An Independent Reproduction and a Preregistered Study of Calibration and Selective Escalation ViBR-WM: Visual Bayesian Regression for World Modeling Program-Verified Self-Evolution for Vision-Language Models Robot-GST: geometry-aware spatial-temporal robot policy representation and evaluation 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 DCEmbed: Scalable Optimization over Neural Surrogates Neuron-Level Architecture Growth: A Controlled Evaluation for EEG Time-Series Decoding Prospective Interpretation Risk: Principled Communication Control Between LLMs Faster Block-Diffusion Serving with Distribution-Free Risk Guarantees Residual-Stream Burden Shapes Representation Learning in Diffusion Transformers Quantization Error Is Spectrally Flat: A Single Random Probe Is a Calibrated, Data-Free Sensitivity Estimator, with Application to Budget-Targeted Mixed-Precision Quantization Simple Diffusion Language Models Are More Effective Few-Step Generators Than Reported EEG-Fusion: Failure-Informed Source-Free Expert Routing for Robust Motor Imagery EEG Decoding Greenpixie's AI Token Methodology: Assessing the Energy, Water and CO2-eq Impact of AI Tokens for Open and Closed Weight Models ThinkNet: Compact Architecture Selection and Validation-Gated Ensembles for Subject-Independent MI-EEG Decoding Two-Sample Testing for Inhomogeneous Random Graphs in Non-Integral $L_r$ Norms HARMONIA: Interpretable Graph Learning through Mixtures of Neural Bases Adapting neural operators for mechanics decisions under changing operating conditions High-Level Text Preprocessing for Semantic Similarity Analysis of Discursive Texts: A Framework and Empirical Demonstration The Privacy Fallacy of Crowdsourced Fine-Tuning: Extracting Proprietary Data via Topic-Based Poisoning RewardExplainer: Learning Reward Model Explanations from Counterfactual Preference Feedback Estimate, Don't Imitate: Reusing Differentiable State-Based Policies for Visuomotor Control Jev in Medicine: A Benchmark Evaluation. Preliminary Results ADPTNet: Adaptive with Prescriptive Timescales Non-Linear SSM for Sequence Modelling 3D Point Tracking with State Space Models Singularities of Non-negative Matrix Factorization and their application to Bayesian inference Kafila: Serving Large Language Models on a Trusted Set of Heterogeneous Commodity Machines The Statistical Cost of Causal Discovery with Feedback Who Gets a Token, and What Does It Carry? Unequal Name Support and Concept Access in Large Language Models The Double-Edged Sword of Information: Revealed versus Hidden Lotteries in School Choice AD-E2E-JEPA: A Joint-Embedding Predictive Architecture For End-to-End Autonomous Driving Forecast-Necessary Causal Discovery for Nonlinear Political Panel Data: Feedback, Functional Form, and the Dynamics of Democratization Word Similarity Datasets for Indian Languages: Annotation and Baseline Systems GT-PSSM: Unified Probabilistic Framework for Stochastic Dynamics Modeling and Dependency Learning in Multivariate Time Series Anomaly Detection ReplayLens: Auditing Agents' Use of Outcomes RAGWarrant: Evidence-Preserving Governance for RAG Policy Promotion Under Quality, Cost, Latency, and Risk Constraints AlphaPareto: Formulaic Alpha Discovery with LLM-Guided Multi-Objective Reinforcement Learning Functional Autoencoders for Amplitude-Phase Representation Learning Same Winners, Different Success Rates: Evaluating How LLM Agents Recover from Failures Stashbird: Efficient Speaker-Indexed Memory for Conversational Agents Certified Multi-Source Integrity for Structured Agent Actions Recursive LLM Degradation in Biomedical Question Answering: A Cross-Generation Study RoboICL: Embodied In-Context Learning with GPT-6 Astra Maintaining Benchmarks Against Increasingly Capable Agents: Detection and Remediation of Unearned Passes Query Expansion and Key Specialization in Transformer Attention Geometry MoSPR: Histology-to-Gene Expression Prediction with Morpho-Spatial Macrostates and Low-Rank Molecular Programs Dexterous Tactile World Model ReScraper: Unified Scraping and Cleaning of Web Data for Effective LLM Pretraining Pre-registered tests of solid-state-physics-inspired LLM compression: a cluster-level negative result at small-language-model scale Predictive Semantic Safety: From Visual Physical Reasoning to Safety-Critical Control Just-In-Time Agent Memory with Runtime Agentic Research Look Before You Select: Rethinking Vocabulary Sparsification in On-Policy Distillation P2P: Cross-View Population Denoising for Unpaired Single-Cell Perturbation Response Prediction Unbiased Top-$k$ Estimation for On-Policy Distillation Understanding Generalization Requires Universal Induction When Does Structured Knowledge Help Neural Theorem Proving? ARS: Agentic Reward System for Robot Learning How to Tame a Multi-Headed Hydra? Adaptive Multi-Category Safety Steering for Large Language Models RoPE is Dead, Long Live RoPE: Towards Scalable Data-aware Positional Encodings Rethinking Latent Visual Reasoning: Grounding Latent Reasoning in Visual Evidence Nudgeability: Reasoning Models Follow Confidence Signals Without Tracking Their Own Competence In-game Toxic Detection: Bi-directional Representations with Attention Residuals AgentWare: Automating the Lifecycle of Agentic Applications across the Edge-to-Cloud Continuum The Model Knows When to Stop: Training-Free Early Stopping for Long-Context Reading Probabilistic Geodesic Flow Matching on Location-Scale Families CLAD: Constrained Abstract Domain for Neural Network Verification OmniTide: Co-Designing Algorithms and Systems for Efficient On-Device Omni-LLM Streaming On the Numerical Reliability of Differentiable Physics-Based Optimization for Robotic Material Manipulation Two-Timescale Fine-tuning Provably Learns New Features for Two-Layer ReLU Networks Hierarchical Clustering and Signal Denoising on Digraphs Natural State-Prediction Accuracy can Hide Weak Controlled Responsiveness in VLA Readouts ResonAct: Streaming Metrics for Runtime Diagnosis and Self-Healing in Multi-Agent Systems Information-Theoretic Analysis of Next-Token Prediction under Markovian Data SeLMRoute: Probabilistic Semantic Evidence for Large Language Model Routing Do Emotion Concepts Generalize Across Sources, Modalities, and Architectures in Vision-Language Models? Statistical Benefits of Fine-Tuning from Pretrained Initialization in Diagonal Linear Networks Beyond Reconstruction Loss in Post-Training Quantization: Balanced Fitting for Large Vision-Language Models When Do Model Internals Help? Exploring the Role of Representation Engineering in LLM Safety CoHuB: A Simulation Benchmark for Multi-Humanoid Collaboration BEHAVE: Functional Behavior Modeling Enables Self-Improving Agents for Hardware Design and Verification Finite-Time Concentration and Convergence Rates for Projected Two-Time-Scale Stochastic Approximation with Markov Noise Physics-Attested Federated Learning: Securing Collaborative Anomaly Detection in Critical Water Infrastructure On Temporal Binding in Large Audio Language Models From Perception to Integration: Revisiting the Internal Dynamics of Reasoning in Vision-Language Models Accelerator Choice Is Not Enough: AlphaFold2 Inference on Cloud TPUs MW-Nowcast: Six-hour ensemble nowcasting of extreme precipitation From Soft Targets to Reward Signals: How Assignment and Reward Objectives Interact When Text Matters: Design Principles for Visual Token Pruning in Vision-Language Model Conformal Prediction and Conditional Coverage for Tabular Foundation Models SincDPNet: Interpretable Raw-Waveform Bathroom Activity Recognition for Assistive Living Don't Throw Away the Tail: Action Upcycling for Policy Acceleration Physics-Informed Neural Networks for Depth-Averaged Avalanche Dynamics JazzSAMBA: A Synchronous and Asynchronous Multi-take Band Audio Dataset of Jazz Standards for Live Music Models N\"urnberg NLP at ChildSafeAds 2026: Structurally Dissimilar Voter Ensembles under Four Levels of Data Access From One-Shot Generation to Incremental Music Composition: Adapting a General-Purpose Instruction LLM for Persistent Symbolic Editing Simulation-Based Quantum System Inference with Neural Posterior Estimation Sub-Model Short-Term Memory Convolutions for Keyword Spotting Systems on Device Recommendation Ranking Off-Policy Evaluation under Ranking-Dependent Examination via Examination-Relevance Decomposition GUIDE-FBO: Guidance via Uncertainty Intervention and Distributional Exchange for Federated Bayesian Optimization Graph-Based Learning for Multi-Horizon Martian Atmospheric Forecasting EMPIRIC: Experiment-Driven Learning of Residual World Models for Robot Planning Perceptual Quality Loss or Loss of Perceptual Quality? TempoKV: Timely Staging of LLM KV Caches for Memory-Semantic Flash Continuous Variational Synthesis DF-CBM: Region-Aware Concept Bottleneck Models for Deepfake Detection Sol-H3: Recursive Self-Improvement for MiniMax-H3 Inference Acceleration on Sol-Engine across Cloud and Edge Coordinated Lane-Level Variable Speed Limits and Ramp Metering for Successive Weaving Segments Considering Merging/Diverging Risks: A Hybrid Model Predictive Control and Multi-Agent Reinforcement Learning Approach G$^3$-LoRA: Organizing Reward-Weighted Video Data with Gradient-Guided Grouped LoRA ReCAT: Remember, Count, and Time: Structured Recurrent Memory for Robot Manipulation Uncertainty Quantification in Cardiac Model Personalisation from Ultrafast Ultrasound A Hierarchy of Entropy-Shapley Games for Multivariate Predictive Uncertainty Beyond Selection: Token Parameterization for Extreme Visual Token Compression AnswerMap: Faithful Spatial Interpretability of VLMs from Answer Posteriors Scaffold Then Internalize: Representation Injection for Diffusion Transformers Simulation-Based Inference for Plate Reverb System Identification Jailbreaks for Black-Box Uncertainty Quantification in Large Reasoning Models Convex Optimization Is Free When Accuracy Is Expensive Multi-Task Learning of Conditional Mean Operators: applications to dynamical systems and uncertainty quantification Building Transformation Layers for Riemannian Neural Networks From internal representations to model improvement through prediction errors Rethinking Causal Action Tokenization with Conditional Annealing in Flow Matching Handwritten Text Recognition Lives in the High-Pixel Variance Subspace TopoEP: Topology-Aware Load Balancing for Expert-Parallel MoE Training SRHarness: A Harness for Agentic Symbolic Regression MechBench: Can AI Scientific Agents Discover Mechanisms Beyond Phenomenal Laws? Beyond Token Scale: Chunk-Level Sparse Autoencoders for Reliable Semantic Feature Discovery Less Sycophancy, Stronger Refusal? Lessons for AI Safety from Mechanistic Interpretability Beyond Energy: When Sustainability Dimensions Reshape LLM Serving Decisions Share-Borne AI Virus: Memory-Hopping Attacks Across LLM Agents QC-Stark: A Multi-Task Benchmark Revealing Capability Dissociations in LLMs Evaluated on Quantum Computing Tasks Learning Conditional Expectation Operators via Functional Newton Updates On-Policy Self-Distillation for Multi-Turn Image Editing Elicitation and Decision Geometry in Single-Index Bandits RIDE: Reference-Anchored Inference-Time Diffusion Editing for Scaffold Hopping Which the Eye Fears: Writing with Read-Blindness Explains Massive Activations in Transformers CoSE-E: A Benchmark for Code-switched Speech Evaluation in Enterprise Settings Learned Preconditioning for a Primal-Dual Interior-Point Method The Hidden Perception Constraint in Task-Aware Compression Harness Learning Enables Generalizable Test-Time Adaptation Copy the Same, Distill the Difference: Initializing Linear Vision Transformers Improving Test-Time Scaling with Adaptive Looped Transformers Statistical Learning of Contractive Dynamical Representations for Composite Adaptive Control PDMD: Projected Distribution Matching Distillation for Video Diffusion Models Advanced Policies: A First-Principles Path from Policy Gradient to Q-Learning Improving Causal Effect Estimation of Weighted RegressionBased Estimator using Neural Networks FedSysID: A Federated Approach to Sample-Efficient System Identification Training-Free Uncertainty Estimation for Embedding Models Red-Teaming Text-to-Image Models via In-Context Experience Replay and Semantic-Preserving Prompt Rewriting Classifier-pruned Bayesian optimization for particle accelerator tuning: Exploring temporally structured manifold of 6D beam phase space Goal-Conditioned Supervised Learning for Multi-Objective Recommendation Stochastic Engrams for Efficient Continual Learning DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting AYLA: Architecting a loss landscape in shallow neural networks to accelerate feature recovery Focus on Likely Classes for Test-Time Prediction LOD: Latent Objective Discovery in Heterogeneous Multi-Agent Reinforcement Learning Bidirectional Information Flow (BIF) - A Sample Efficient Hierarchical Gaussian Process for Bayesian Optimization Understanding and Mitigating Under-Confidence in GNNs from the Final Layer On the $O(\frac{\sqrt{d}}{K^{1/4}})$ Convergence Rate of AdamW Measured by $\ell_1$ Norm Relation-Aware Graph Foundation Model Why and When Deep is Better than Shallow: Implementation-Agnostic State-Transition Model of Deep Learning HERO: Preserving Structure and Semantics in Heterogeneous Continual Graph Learning Federated Independent Component Analysis via Spectral Alignment and Robust Aggregation AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists Tags for DAGs: Graph Refinement with Meta-Informed Relations On the Interaction of Compressibility and Adversarial Robustness Edge Selection for the Effective use of Piecewise-Constant Distributions as Neural Network Outputs for Event Prediction SHEFL: Sparse Heterogeneous Ensemble Federated Learning with Group-Balanced Aggregation Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning Learning Domain- and Class-Disentangled Prototypes for Domain-Generalized EEG Emotion Recognition An Efficient Subspace Algorithm for Federated Learning on Heterogeneous Data Pushing Toward the Simplex Vertices: A Simple Remedy for Code Collapse in Smoothed Vector Quantization WirelessMathBench-XL: An Auditable Benchmark for Wireless Mathematical Reasoning Graph Your Own Prompt How Does Preconditioning Guide Feature Learning in Deep Neural Networks? Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion Federated Computation of ROC and PR Curves Auditing Information Disclosure During Large-Scale Gradient-Based Training via Gradient Uniqueness Adam or Gauss-Newton? A Comparative Study In Terms of Basis Alignment and SGD Noise Theoretical Refinement of CLIP by Utilizing Linear Structure of Optimal Similarity SCORENF: Score-based Normalizing Flows for Sampling Unnormalized distributions Managing Self-Learning Experts under Per-Round Budget Constraints A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation Wavelet-Based Parity Detection Revisited: Representation Dependence, Generalization, and Mechanistic Analysis Sparse, self-organizing ensembles of local kernels detect rare statistical anomalies COGNOS: Universal Enhancement for Time Series Anomaly Detection via Constrained Gaussian-Noise Optimization and Smoothing Neural Tractability via Structure: Learning-Augmented Algorithms for Graph Combinatorial Optimization The Devil in the Details: Emergent Misalignment, Format and Coherence in Open-Weights LLMs Time Series Foundation Models for Process Model Forecasting CAT: Can Trust be Predicted with Context-Awareness in Dynamic Heterogeneous Networks? Exact Flow Linear Attention: Exact Solution from Continuous-Time Dynamics Soft Geometric Inductive Bias for Object Centric Dynamics Shapley-based Data Valuation for LLM Alignment via Sequential Preference Optimization Role Support in Knowledge-Graph Error Ranking: Predictor Regimes and Evaluation Policies SB-TRPO: Towards Safe Reinforcement Learning with Hard Constraints Deep Delta Learning Quantifying the Effect of Test Set Contamination on Generative Evaluations Understanding and inverse design of implicit bias in stochastic learning: a geometric perspective Leveraging Soft Prompts for Privacy Attacks in Federated Prompt Tuning Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates Pay for Hints, Not Answers: LLM Shepherding for Cost-Efficient Inference DP-{\lambda}CGD: Efficient Noise Correlation for Differentially Private Model Training Environment-Conditioned Tail Reweighting for Invariant Learning under Mixed Shifts Forest-Guided Semantic Transport for Label-Supervised Manifold Alignment Plain Transformers are Surprisingly Powerful Link Predictors VLM-Guided Experience Replay Poly-attention: a general scheme for higher-order self-attention Unveiling Implicit Advantage Symmetry: Why GRPO Struggles with Exploration and Difficulty Adaptation $f$-FUM: Federated Unlearning via min--max and $f$-divergence SOCKET: SOft Collision Kernel EsTimator for Sparse Attention Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems PrefillShare: A Shared Prefill Module for KV Reuse in Multi-LLM Disaggregated Serving Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity Watch the Model Think: On-Policy Extraction of Activation Steering Vectors Pseudo-differential-enhanced physics-informed neural networks Use What You Know: Causal Foundation Models with Partial Graphs Neural Proposals, Symbolic Guarantees: Neuro-Symbolic Graph Generative Modeling CodeScaler: Scaling Code LLM Training and Test-Time Inference via Reward Models Don't stop me now: How Validation Criteria Affect Checkpoint Selection and Early Stopping Forecasting Bacterial Antimicrobial Resistance Trends Using Machine Learning on WHO GLASS Surveillance Data: A Retrieval-Augmented Generation Approach for Policy Decision Support LFPO: Likelihood-Free Policy Optimization for Masked Diffusion Models Physics-Informed Neural Networks with Architectural Physics Embedding for Large-Scale Wave Field Reconstruction The Trace Is the State: Exact Credit Assignment for LLM Agent Teams HO-SFL: Hybrid-Order Split Federated Learning with Backprop-Free Clients and Dimension-Free Aggregation Models Designed to Forget: Machine Unlearning via Key Deletion FlashSampling: Fast and Memory-Efficient Exact Sampling Understanding Quantization of Optimizer States in LLM Pre-training: Dynamics of State Staleness and Effectiveness of State Resets Discovering What You Can Control: Interventional Boundary Discovery for Reinforcement Learning Binary Classification from Coupled Pairwise Labels Joint Surrogate Learning of Objectives, Constraints, and Sensitivities for Efficient Multi-objective Optimization of Neural Dynamical Systems P^2O: Joint Policy and Prompt Optimization Do Papers Tell the Whole Story? A Benchmark and Framework for Uncovering Hidden Implementation Gaps in Bioinformatics Selective Deficits in LLM Mental Self-Modeling in a Behavior-Based Test of Theory of Mind LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models Meta-TTL: Meta-Learning Self-Improvement Policies for Language Agents Reasoning Shift: How Context Silently Shortens LLM Reasoning Contrast Matters: Understanding Robustness of In-Context Fine-Tuning to Target-Context Relatedness Product-Stability: Provable Convergence for Gradient Descent on the Edge of Stability Relative Density Ratio Optimization for Stable and Statistically Consistent Model Alignment Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference An Imperfect Verifier is Good Enough: Learning with Noisy Rewards EvoLen: Evolution-Guided Tokenization for DNA Language Model HiFloat4 Format for Language Model Pre-training on Ascend NPUs Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation MambaSL: Exploring Single-Layer Mamba for Time Series Classification Demystifying the Unreasonable Effectiveness of Greedy Alignment Methods Model Compression with Exact Budget Constraints via Riemannian Manifolds A Theory of Saddle Escape in Deep Nonlinear Networks Mitigating Multimodal LLMs Hallucinations via Relevance Propagation at Inference Time Federated Semi-Supervised Graph Neural Networks with Prototype-Guided Pseudo-Labeling for Privacy-Preserving Gestational Diabetes Mellitus Prediction Demystifying Manifold Constraints in LLM Pre-training Hidden States as Value Gradients: The Pontryagin Structure of Recurrent Policies Two-Stage Learned Decomposition for Scalable Routing on Multigraphs AeroJEPA: Learning Semantic Latent Representations for Scalable 3D Aerodynamic Field Modeling From Dual Tracking to Clipping: Provably Faster Distributionally Robust Multi-Objective Optimization Learning beyond Site Bias for OOD Generalization in Brain Networks SymDrift: One-Shot Generative Modeling under Symmetries LINC: Decoupling Local Consequence Scoring from Hidden Matching in Constructive Neural Routing Diverse Sampling in Diffusion Models with Divergence-Free Particle Guidance UniPool: Learning Expert-to-Layer Ownership from Brief Global Access Enabling Unsupervised Training of Deep EEG Denoisers With Intelligent Partitioning Skip What You Can Predict: Predictive Repositioning for Policy Optimization for Efficient LLM Training On Privacy in Data-Space Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics Continuous First, Discrete Later: VQ-VAEs Without Dimensional Collapse Why Does Agentic Safety Fail to Generalize Across Tasks? CellScientist: From Execution Feedback to Auditable Model-Revision Trajectories for Cellular Perturbation Prediction On the Invariance and Generality of Neural Scaling Laws Self-Play Enhancement via Advantage-Weighted Refinement in Online Federated LLM Fine-Tuning Convergence Analysis of Newton's Method for Neural Networks in the Overparameterized Limit Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Towards Effective Theory of LLMs: A Representation Learning Approach Neural Cluster First, Route Second: Capacitated Vehicle Routing via Differentiable Optimal Transport FLAME: Adaptive Mixture-of-Experts for Continual Multimodal Multi-Task Learning Let the Target Select for Itself: Data Selection via Target-Aligned Paths MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures When and How to Canonize: A Generalization Perspective ACSAC: Adaptive Chunk Size Actor-Critic with Causal Transformer Q-Network Internalizing Curriculum Judgment for LLM Reinforcement Fine-Tuning A Dual Representation of Influence Functions for Linearizable Models Deep Minds and Shallow Probes Hypernetworks for Dynamic Feature Selection PyroAdapt: Adapting Wildfire Prediction under Spatial Heterogeneity and Temporal Shift Hessian Matching for Machine-Learned Coarse-Grained Molecular Dynamics CoRe-Gen: Robust Spectrum-to-Structure Generation under Imperfect Fingerprint Conditions Learning to Select Source Domains: Proxy-Rewarded Policy Optimization for Molecular OOD Generalization Gaussian Relational Graph Transformer Goal-Conditioned Supervised Learning for LLM Fine-Tuning DeepArrhythmia: Segment-Contextualized ECG Arrhythmia Classification via Selective Evidence Acquisition To MRL or not to MRL: Text Embeddings are Robust to Truncation Without Matryoshka Learning, Except In Heavy Truncation Scenarios EfficientTDMPC: Improved MPC Objectives for Sample-Efficient Continuous Control Fidelity Probes for Specification--Code Alignment AMO: Operator-level Adaptive Muon Orthogonalization DCFold: Efficient Protein Structure Generation with Single Forward Pass Concise and Logically Consistent Conformal Sets for Neuro-Symbolic Concept-Based Models Beyond Square Roots: A Memory-Efficient Explicit Factorization for Multi-Epoch Private Learning PACE-FNO: Physics-Aligned Canonical Equivariance for Fourier Neural Operators When Does Equivariance Help? Canonical Alignment in Neural Fluid Surrogates Learning Robust Recommenders from Noisy Implicit Feedback via GMM-Weighted Bayesian Transition Matrix Reasoning-Trace Collapse: Evaluating the Loss of Explicit Reasoning During Fine-Tuning EntmaxKV: Support-Aware Decoding for Entmax Attention Factored Diffusion Policies:Compositionally Generalized Robot Control with a Single Score Network Learned Relay Representations for Forward-Thinking Discrete Diffusion Models Anytime Training with Schedule-Free Spectral Optimization Complete-muE: Optimal Hyperparameter Transfer and Scaling for MoE Models From Privacy to Generalization: Linear Max-Information Bounds for Differentially Private Learning Algorithms Inference-Native Zeroth-Order Optimization for LLMs Digitally enriching a high-risk population for pancreatic cancer using routine blood-based measures and clinical histories Effective Biological Representation Learning by Masking Gene Expression BitsMoE: Cost-Aware Bit Allocation in Spectral Space for MoE LLM Quantization Context-aware tokenization for Cross-subject Emotion Decoding from EEG ConTraIRL: Factorized Contrastive Abstractions for Transferable IRL SPR: Toward a Graph Foundation Model for Transferable Graph Cognition via Spectral Patterns and Relational Geometry Large Language Models Hack Rewards, and Society Dual Advantage Fields Hearing the Unspoken: Language Model Priors for Acoustic Adversarial Attacks The Routing Plateau: Understanding the Accuracy Limits of LLM Routers Agentic Search for Counterfactual Recourse under Fixed LLM Budgets nCMD: Benign-Anchored Feature Selection for Imbalanced Network Intrusion Detection AugRelNet: Relation-Augmented Dynamics for Structure Discovery and Forecasting from Limited Data Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks Multi-Bitwidth Quantization for LLMs Using Additive Codebooks Running the Gauntlet: Hard Agentic Tasks StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling Wasserstein Convergence of ODE-Based Samplers in Decentralized Diffusion Model via Velocity Field Decomposition RepNN: Tackling spectral bias in deep neural networks for regression and PDE problems via parameter reparameterization When Does Depth Matter For In-Context Learning? Adaptive Inference in Deep Transformers Filtered Conformal Ellipsoids for Graph-Native Time Series Recursive Scaling in Masked Diffusion Models CODEBLOCK: Learning to Supervise Code at the Right Granularity DRIFT: Data Selection for LLM Instruction Tuning via On-Policy Attribution When Can We Trust the Sparse Lens? A Certification Framework for SAE Faithfulness When to Commit and When to Defer: Maturing Markov Decision Processes under Refining Information and Expiring Opportunities CRAX: Fast Safe Reinforcement Learning Benchmarking Real vs. Complex Spectral Bases for Neural Operators: The Role of Green's Function Alignment The Interplay of Harness Design and Post-Training in LLM Agents Fast LeWorldModel EpiKV: Epiphany-Aware KV Cache Eviction Without the Attention Matrix The Weakest Link Tells It All: Outcome-Supervised Process Reward Modeling via Learnable Credit Assignment A Gravitational Interpretation of Safety Reversion under Fine-Tuning Mind the Residual Gap: Probabilistic Downscaling under Real-World Bias Revisiting the Volume Hypothesis Flow-Map GRPO: Reinforcement Learning for Few-Step Flow-Map Generators via Anchored Stochastic Composition Scaling Laws for Collapse in Asynchronous GRPO Sampling Meets Interaction: Sequentially-Controlled Multi-Particle Flow-Maps for Efficient Inference-time Search BFMT: Enhancing Search Capabilities of Tree Sampler via Bootstrap Flow-Map Tree What Does a Routing Oracle Measure Under Stochastic Decoding? Coupling, Scorer Choice, and Single-Commit Ceilings Transformers with Physics-Informed Encodings and Simulation-Based Inference for Robust Detection of Eccentric Binary Black Holes in Pulsar Timing Array Data RL Forgets! Towards Continual Policy Optimization Higher-Order Geometric Updates for Levenberg-Marquardt Method via Riemann Normal Coordinates Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE Hyperbolic Manifold Constrained Tabular Neural Network Extractable Memorization From First Principles A Continuous-Time Reinforcement Learning Framework for Fine-Tuning Discrete Diffusion Models What Does Model Growth Really Add? Functional Capacity Beyond Parameter Count Robust Peak-cost Constrained Reinforcement Learning TRACE: Trajectory-Based Safety Patch Learning for LLM Post-Training Realignment Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting CoCurve: Cross-Module Co-Pruning Curvature for Structured LLM Pruning CriPO: Enhancing Rubric-based RL via Self-Distillation Conditioned Direct Feedback Alignment via Activity and Error Geometry AdaFlash: Adaptive Speculative Decoding via On-Policy Distilled Diffusion Drafters Interval and fuzzy physics-augmented neural networks (iPANN and fPANN) for uncertainty quantification and propagation in constitutive modeling On the Convergence of Stochastic Low-Rank Adaptation Bayesian Complete-Pooling in Cross-Subject Classification for Motor Imagery Electroencephalogram Variational Boosting for Physics-Informed Neural Networks One Analyst Is Not Ground Truth: Grading Agent-Built Financial Models Against Observed Professional Practice Post-Training at the Edge of Detectability: A Game-Theoretic Approach to Fine-Tuning Existence-Field Diffusion Model for Spatial Point Processes with Variable Cardinality Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility What Can Latent World Models Know? Physical Information in Multimodal Predictive Representations THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model Efficient LLM Adversarial Training via Low-Rank Defense and Circuit-Guided Surrogates DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation SpecDrop: Parameter-Free Category-Conditioned Routing for Modular Specialization Introspecting Alignment Shifts Beyond Behaviors Implanted Through Fine-Tuning Not Every Divergence Should Be Suppressed: Counterfactual Recoverability in On-Policy Distillation SSTQ:Privacy-Preserving Vector Quantization via Subsampled Stochastic TurboQuant Multivariate Time Series Forecasting needs Cross Variable Loss Predicting Task Difficulty Without Rollouts A Unified Risk View of Uncertainty: Posterior Risk for Disentanglement and Evaluation Beyond Proxies FastKron: Efficient Quantization with Kronecker-Factored Hessians Which Decisions Low-Bit Quantization Breaks, and How to Predict Them Memory--Batch Tradeoffs in Lipschitz Bandits HOPPER: Learnable Hop Extraction for Linearized Graph Sequence Models From Objectives to What Models Learn: A Landau Theory of Invariant Learning Convergence Guarantees of Gradient Descent for Neural Networks via Generalized Lipschitz Smoothness FLARE++: Low-rank attention with dynamic attention routing Towards Understanding On-Policy Distillation through the Lens of Test-Time Scaling A Reproducibility Study of Partial Residual Ablations in Pre-LN Transformers Online Convex Optimization with Dueling Feedback SAGA: Structure-Attended Generative Action Embedding Model that encodes Multi-Surface User Action Sequences Spectral Saliency for Machine Unlearning SubZero+: Memory-Efficient Adaptive Zeroth-Order LLM Fine-Tuning in Random Subspaces Multinomial Subset Routing with Sum-Max Rewards and Operational Constraints J-Miner: Recovering the Decision Logic of Fine-Tuned LLM Classifiers as Compact Rules Reinforced Planning with Latent World Models Beyond Multimodal Alignment: Shared Physical Representations Across Sensors and Action Orders In Two Minds about Lifelong Learning: Exploring Hemispheric Redundancy and Specialisation in Neural Models Learning Exact NVIDIA SASS Encoders with $\mathbb{F}_2$ Linear Algebra The Mask Is Not the Model: Auditing Prefix Invariance in Attention, State-Space, and Hybrid Sequence Models Low-Latency Activation-Regularized Sparse Neural Operators with Distillation Assistance Towards Real-Time Neuromorphic Virtual Sensing Beyond Parallel Blindness: Information Floors and Model Gaps in Block Drafting Flow-JEPA: Robust Latent Dynamics for JEPA World Models via Flow Matching PokaiTrainer: Scaling Equilibrium Search to Competitive Pok\'emon VGC Does Latent Planning Survive Point Clouds? Action-Conditioned JEPA World Models for Geometric Observations and Goals Seasonality-Aware Hybrid Convolutional Transformer for Antarctic Sea Ice Concentration Forecasting Nonparametric Contextual Pricing and Inventory Learning under Censored Demand EEG-AS: Instance-Level Foundation Model Selection for EEG Foundation Models via Behavior Reconstruction How Do Language Models Choose Between Context and Memory? Linear Reusable Neural Bases Architecture for Network Compression Percolation Dynamics in Optimization: Variance Cascades and Nested Symmetry TRACE: A spatiotemporal contact memory graph network simulator for granular dynamics Exact Record Omission in Delta Attention: A Transport Criterion, Its Cost, and a Replay Certificate TabBench-Bio: A Living Benchmark for Machine Learning on High-Dimensional Biomedical Tables No-Regret Mixing of LRU and LFU with Optimal Switching Cost Beyond the Matrix Sign: Quadratic Spectral Descent KBBQ: A Predictive Noise Law and the Limits of Spectrum Flattening in FP4 Quantization PlayTrain: An Efficient Reinforcement Learning Framework for LLM-Generated Adaptable JavaScript Games Solving Few-Shot Multiobjective Multitask Optimization via Iterative Sequential Transfer Certified Safety Curation: Distribution-Free Guarantees for Safe Offline Reinforcement Learning JumpStart Your Policy Learning with Lessons from 160,000 Training Runs Pathwise Individual Rationality in Federated Learning: A Mechanism-Architecture Co-Design WaterKron and FlipFlop Hessian: Information-Theoretically Grounded Quantization with Kronecker-factored Hessians Refinement-Based Flow Policy Optimization Sharp Regret Bounds and a Task-Covariance Correction for Spectral Representation Learning The Router Within: Eliciting Native Skill Routing from a Frozen LLM Scaling Laws for Physics-Aware ACOPF Surrogate Learning Stiefel Attention: When the Geometry of Transformer Projection Matrices Dominates Optimizer Choice---and When It Does Not Placement Is Free, Composition Is Not: The Latin Square as a Provably-Balanced Construction for Heterogeneous Sequence-Mixer Stacks Geometric Mean Pooling for Equal-Weight Multiplicative Coarse-Graining PRQuant: Permutation Residual Quantization for Low-Overhead Inference A Hybrid Attention Model Learning Unified Time-aware Patch Representation for Irregular Multivariate Time Series Forecasting Same Outcome, Different Readout: What Does a Steerable Valence Direction in LLMs Represent? WaveFront Decoding: Parallelized Self-Speculative Decoding for Looped Language Models CSC: Calibrated Simplicity for Conflict-Aware Social Bot Detection in the LLM Era Physics-residual machine learning predicts oxygen-evolution catalyst activity beyond the training range from sparse polarization measurements Tail-Weight Control and Localized Generalization in Nearly Low-Rank Adversarial Classification Misaligned Clinical Risk Classification and Cost Asymmetry in Open-Weight Large Language Models The Undetected Damage of Quantization on Retrieval and How to Fix It iSDFT: Information-Proximal Self-Distillation for Continual Learning in LLMs What Should a Self-Teacher See? Privileged Context Design for On-Policy Self-Distillation Graph Domain Adaptation Does Not End with Representation Learning In-Context Guidance: Learning Inter-Task Synergies via Numerical Foundational Models for Few-Shot Multitask Optimization PR-Smoother: Simulator-Preserving Non-Gaussian Smoothing for Data Assimilation Backdoors Leave Structural Traces: FedMAST for Backdoor Detection and Containment in Federated Learning Physics and Data Driven Transformer-Mamba Framework for Flow Field Not Every Token Is Worth Distilling: Selective Supervision for Direct-OPD Beyond Feature Reliability: Repeat-Informed Multifractal Curve Regression for Brain-Age Prediction FlashLoop: Fast and Memory-Efficient Looped Transformers via Lazy Updates Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation RAZOR: Pruning Replaceable Experts in LLMs MOPD-Router: Rethinking Teacher Routing in Multi-Teacher On-Policy Distillation Robust to Which Model Change? A Unified Evaluation of Robust Counterfactual Explanations Softmax Reparameterization for Output-Head Quantization Benchmarking Attention for Tabular Foundation Models Bridging Generative and Discriminative Noisy-Label Learning via Direction-Agnostic EM Formulation Damped Gauss Newton Search for Multi Metric Hyperparameter Optimization Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity LaSEr-Edit: Localized Span-level Error Editing with Energy-based Localization Generalization Analysis of Online Stochastic Gradient Descent for Overparameterized Two-Layer Neural Networks Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations Detection and Characterization of Coordinated Online Behavior: A Survey A Survey on Reinforcement Learning Applications in SLAM Help Me Help You: The Aggregate Value of Source and Target Data in Transfer Learning TACO: Training-free Sound Prompted Segmentation via Semantically Constrained Audio-visual CO-factorization Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning Learning Where and What to Restore for Composite Image Restoration Optimization on the Oblique Manifold for Sparse Simplex Constraints via Multiplicative Updates Towards Weaker Variance Assumptions for Stochastic Optimization FEAT: Free energy Estimators with Adaptive Transport When do Random Forests work? Building Intelligent Agents with Neuro-Symbolic Concepts Accelerating Natural Gradient Descent for PINNs with Randomized Numerical Linear Algebra Squeeze3D: Extreme Neural Compression with Latent Space Bridging A family of graph GOSPA metrics for graphs with different sizes Identifiable Convex-Concave Regression via Sub-gradient Regularised Least Squares Audio-JEPA: Joint-Embedding Predictive Architecture for Audio Representation Learning Adaptively Truncated Signature-based Logistic Regression for Semi-parametric Functional Classification AI-driven Dispensing of Coral Reseeding Devices for Broad-scale Restoration of the Great Barrier Reef Design of Experiment for Discovering Directed Mixed Graph Synthetic data for ratemaking: imputation-based methods vs adversarial networks and autoencoders A Kernel-based Stochastic Approximation Framework for Nonlinear Operator Learning The Platonic Universe: Do Foundation Models See the Same Sky? Learning to Generate Rigid Body Interactions with Video Diffusion Models Systematic Exploration of Multi-core Architectures for Efficient LLM Serving using WaferAI-SIM Large Language Model Selection with Limited Annotations NOSA: Native and Offloadable Sparse Attention R2T: Rule-Encoded Loss Functions for Sequence Tagging in Low-Resource Languages AlignBeat: A Latent Variable Model for Multi-Class Beat Tracking from Partially Labeled Data Reinforcement Learning and Consumption-Savings Behavior A Survey on Efficient Vision-Language-Action Models Action-Driven Processes for Continuous-Time Control Disciplined Biconvex Programming Bit-Accurate Modeling of GPU Matrix Multiply-Accumulate Units: Demystifying Numerical Discrepancy and Accuracy AI-driven ionic liquid discovery with unified chemical intelligence Server-Enforced Watermarking in U-Shaped Split Federated Learning Digital Agriculture Sandbox for Collaborative Research MASTEST: A LLM-Based Multi-Agent System For Testing RESTful APIs Reinforcement Learning to Initialize Newton-Raphson for AC Power Flow with Quantum Annealing-Based Environment Updates On Memory: A comparison of memory mechanisms in world models Manifold limit for the training of shallow graph convolutional neural networks Contextual Distributionally Robust Optimization with Causal and Continuous Structure Model-Free Output Feedback Stabilization via Policy Gradient Methods Hypersolid: Emergent Vision Representations via Short-Range Repulsion Do Latent-CoT Models Think Step-by-Step? A Mechanistic Study on Sequential Reasoning Tasks Adversarial Reward Auditing for Active Detection and Mitigation of Reward Hacking All-Atom GPCR-Ligand Dynamics Simulation via a Residual Latent Flow Mode Instance-optimal high-precision shadow tomography with few-copy measurements: A metrological approach Semantic Purification for Conditional Representation Learning Efficient reduction of stellar contamination and noise in planetary transmission spectra using neural networks TSR: Trajectory-Search Rollouts for Multi-Turn RL of LLM Agents TADA! Tuning Audio Diffusion Models through Activation Steering Adjoint-based shape optimization of a ship hull using a Conditional Variational Autoencoder (CVAE) assisted propulsion surrogate model Symmetric Composition of Anisotropic Operators for Global Subseasonal-to-Seasonal Climate Forecasting ReLoop: Structured Modeling and Behavioral Verification for Reliable LLM-Based Optimization Universal Pose Pretraining for Generalizable Vision-Language-Action Policies Descent-Guided Policy Gradient for Scalable Cooperative Multi-Agent Learning ActionEngine: From Reactive to Programmatic Web Agents via State Machine Memory SWE-Adept: An LLM-Based Agentic Framework for Deep Codebase Analysis and Structured Issue Resolution Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation Gravity Falls: A Comparative Analysis of Domain-Generation Algorithm (DGA) Detection Methods for Mobile Device Spearphishing Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness RubiCap: Rubric-Guided Reinforcement Learning for Dense Image Captioning Learning Transferable Sensor Models via Language-Informed Pretraining Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning When Should Humans Step In? Optimal Human Dispatching in AI-Assisted Decisions Patient-level validation of a foundation-model pipeline for pediatric lung sounds: physician-annotated adventitious events are recognized, disease groups are not reliably predicted Q-Drift: Quantization-Aware Drift Correction for Diffusion Model Sampling The Exponentially Weighted Signature Fast-Slow Thinking RM: Efficient Integration of Scalar and Generative Reward Models Hyperspectral Trajectory Image for Multi-Month Trajectory Anomaly Detection Stringological sequence prediction I: efficient algorithms for predicting highly repetitive sequences HRIR-Former: Grid-Free Time-Domain Reconstruction of Head-Related Impulse Responses with a Spatially Encoded Transformer Prosodic ABX: A Language-Agnostic Method for Measuring Prosodic Contrast in Speech Representations How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM Pipeline EffiPair: Improving the Efficiency of LLM-generated Code with Differential Execution Feedback Deployment of AI-Assisted Interventions: Capacity Constraints and Noisy Compliance Why Fine-Tuning Encourages Hallucinations and How to Fix It Conformal Robust Set Estimation Sliced-Regularized Optimal Transport Multiscale Euclidean Network Trajectories: Second-Moment Geometry, Attribution, and Change Points BALAR : A Bayesian Agentic Loop for Active Reasoning Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study Towards Fairness under Label Bias in Image Segmentation: Impact, Measurement and Mitigation In-Context Credit Assignment via the Core TrajGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations BGM-IV: AI-Powered Bayesian Generative Modeling for Instrumental Variable Regression with High-Dimensional Covariates RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation Probabilistic Object Detection with Conformal Prediction Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models Tool Calling is Linearly Readable and Steerable in Language Models ProcVLM: Learning Procedure-Grounded Progress Rewards for Robotic Manipulation Broximal Gradient Descent: A Projection-Free Sister of Projected Gradient Descent Max-pooling Network Revisited: Analyzing the Role of Semantic Probability in Multiple Instance Learning for Hallucination Detection Agent Collectives Should Not Detect Their Own Imposters: A Chess Case Study PoDAR: Power-Decoupled Audio Representation for Generative Modeling Fast Training of Mixture-of-Experts for Time Series Forecasting via Expert Loss Integration FIS-DiT: Breaking the Few-Step Video Inference Barrier via Training-Free Frame Interleaved Sparsity EHR-RAGp: Prototype-Guided Retrieval of Longitudinal Electronic Health Records for Clinical Prediction Models Watermarking Should Be Treated as a Monitoring Primitive Synthetic American Option Pricing via Jump-HMM-Driven Heston Implied Volatility Regret Equals Covariance: A Closed-Form Characterization for Stochastic Optimization CM-EVS: Sparse Panoramic RGB-D-Pose Data for Complete Scene Coverage Reducing Hallucination in Multimodal Large Language Models through Hard Grounding Preference Supervision Generalized Functional ANOVA: A Complete Theoretical Framework DeferMem: Query-Time Evidence Distillation via Reinforcement Learning for Long-Term Agent Memory Uncertainty-aware neural emulation reveals climate-resilient maize traits at scale Nonstationary Generalized Linear Bandits with Discounted Online Mirror Descent Equivalent Flows, Unequal Learning: Clean-Latent Prediction in Transformers Beyond Imitation: Reflective On-Policy Self-Distillation for LLM Reasoning PhoneWorld: From Real-App Trajectories to Dynamic and Verifiable Environments for Phone-Use Agents No More K-means: Single-Stage Sparse Coding for Efficient Multi-Vector Retrieval Shared Doubt: Zero-Shot Cross-Lingual Confidence Estimation for Language Models Diagnosing Visual Ignorance in Vision-Language Models Driving Video Retrieval for Complex Queries with Structured Grounding PRISM: Recovering Instruction Sets from Language Model Activations Robust Active Learning for Few-Shot Example Selection in Text-to-SQL Trainability of IQP Quantum Circuit Born Machines Under Gaussian Initialization Toward Proactive RF Charging Scheduling: Generative AI for Decision Support DroneShield-AI: A Multi-Modal Sensor Fusion Framework for Real-Time Autonomous Drone Threat Detection, Behavioral Intent Classification, and Swarm Intelligence in Contested Airspace OneCanvas: 3D Scene Understanding via Panoramic Reprojection Capability Provenance in Language Models: A Case Study in Social Reasoning Embodied AI in 6G Networks: From Intelligent Connectivity to Physical Intelligence Finite-Sample Performance of Gradient Descent in Logistic Regression with Gaussian Design Beyond Flat Labels: Level-Restricted Contrastive Learning for Hierarchical Fine-Grained Vision Classification Rethinking Object-Centric Representations for Video Dynamics Modeling FacePlex: Toward Natural Full-Duplex Conversational Avatars Retrieval Observability Bounds on Provenance Detection for Agent Memory Poisoning: Measured Coverage and a Falsified Standalone Detector OPINE-World: Programmatic World Modeling with Ontology-error-Prioritized Interactive Exploration for ARC-AGI-3 LACUNA: A Testbed for Evaluating Localization Precision for LLM Unlearning Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Artificial Intelligence Across the Cardiac Amyloidosis Diagnostic and Management Pathway: From Single-Modality Detection to Multimodal Clinical Integration NetInjectBench: Benchmarking Indirect Prompt Injection in Tool-Using Large Language Model Agents for Network Operations Diversified Multinomial Logit Contextual Bandits The Entanglement Wall: Activation-Space Probes as Risk Detectors, Not Context Adjudicators BARS: Benign-Anchored Ranking and Selection for False Alarm Reduction in Network Intrusion Detection The Steering Budget: Examples beat Knobs Simulating Eutopia: Revisiting Long-term Fairness with Outcomes, Performativity, and Dynamics Priors learned from legacy reconstructions inherit undetectable overconfidence Codifying the Judge: Scalable Evaluation via Program Distillation DualityCert: Verifier-Gated Language-Model Repair of Broken Duality Claims in Quantum Field Theory InferScale: GPU-Native KV Injection for Personalized LLM Serving Fractional Parabolic Partial Differential Equations in Anisotropic Spectral Barron Spaces: Regularity and Neural Approximation TELLER: Dual-Path Iterative Preference Optimization for Table Entity Linking AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks? Preferred, Not Safer: Pairwise Preference Is a Poor Proxy for Clinical Safety From Behavior to Mechanism: Tracing Divergent Response Modes in Frontier Language Models Tokenizer-Generator Coupling in Medical Image Generation Partition the Support, Reconstruct the Residual: Training-Free Sparse Attention for Video Generation and World Models WhiteMatter: All-to-All Cross-Layer Connections via KV Source Mixing What is Missing from AI Post-Training AI: An Empirical Analysis Neural Boltzmann Equations Which Histories Matter for Time Series Forecasting? Learning Predictive Relevance with Future Supervision Scaling Reinforcement Learning for Diffusion Models via Velocity Matching FRAME: Separating sampling variation from performance disparities in medical image analysis Affix Cache for Diffusion Large Language Models Equal Ranking Quality, Different Decisions: Measuring and Reducing Order Dependence in LLM Scorers A Systematic Survey of Agentic Skills: Architecture, Lifecycle, and Security WeaveMark: Robust and Scalable Multi-bit LLM Watermarking via Coded Payload Spreading PocketVE: Stable and Property-Guided Structure-Based Drug Design with Variance-Exploding Diffusion ActionSplice: In-Flight Action Editing for Interactive World Models MLLMs Hallucinate when Information Distribution Drifts in Synergy Heads HuRo: Robotizing Human Videos for Scalable VLA Pretraining A Dominant Supplier Slows Recursive Drift More Than It Steers It Break Step: Recursive Training Resonates with Replayed Sampling Noise Near-Optimal Reinforcement Learning with Multi-Step Transition Lookahead Tight Sampling Complexity with Stochastic Gradient Oracles in Fixed Dimensions Learned Bow Control on a Measured Bowed-String Model: a Revised Minimum-Bow-Force Law, a Recurrent Controller, and the Domain of a Supervision Ceiling SpliTEE: Fast and Private LLM Inference by Coupling GPU-Assisted Trusted Execution Environments with Differential Privacy K-Bench: a clinically calibrated benchmark for evaluating large language models in high-risk mental health conversations Decentralized Gossip Learning and Federated Averaging for Histopathology Image Classification VLA-ULAP: Interleaving Cloud VLA Calls with Ultra-Lightweight Local Action Prediction at the Edge Training-Adaptive Convolutional Sparse Coding via Information Bottleneck for Robust Visual Representation When2Think: Learning When and How Much to Reason Near-Optimal Single-Loop Predictor--Corrector Extragradient Method for Strongly Convex--Strongly Concave Minimax Optimization Complete Neural Electronic Initialization Accelerates Materials DFT Learning and Control Beyond Linearity: Towards a Non-asymptotic Theory for Bilinear Systems RLVR is a Kernel, Not a Function: Statistical Inference for pass@$k$ Crossovers A Bayesian Vertical Federated Learning Framework for Multivariate Reduced-Rank High-Dimensional Regression PredActor: Predictive Action Diffusion for Steerable Onboard Humanoid Control FREESIA: Covariance-Aware Posterior Transport for Expressive and Scalable Data Assimilation GINIO: A Geometric SO(3)-Equivariant Interface for Neural Inertial Odometry SSP-Bench: A Hybrid Data Generation Framework for Safety, Security, and Privacy Evaluation Statistical Gains from Looped Estimation under Parameter Budgets Attention Routing Stabilizes Early: Working-Set Inference for Recurrent Language Models WhatWorkedBench: Benchmarking Experimental Understanding in AI Agents How Sensitive Are LLM Leaderboard Claims to Hidden Model Selection? Non-Commutative State Tracking with Input-Dependent Low-Rank Updates in Mamba-3 HClimRep-Ocean: A Global Ocean Emulator on an Unstructured Mesh Learning a Flow to Self-Supervised Representations Cost-Sensitive Online Window Size Selection for Portfolio Management Low-Rank Friction for Memory-Efficient Transformer PretrainingArxiv cs.AI
OpenAI-HuggingFace: A Reproduction & Lessons for Alignment Testing Neurosymbolic Routing for Reliable Reasoning on Resource-Constrained Edge Devices Is Human-Readable Text Necessary for Effective LLM Fine-Tuning? The Price of Token Boundaries: Compression Certificates and Prediction More Programs or More Rolls? Separating Coverage from Specialization in LLM Harnesses Risk-Averse Online POMDP Planning via CVaR of the Immediate Cost with Performance Guarantees Beyond Symmetric Agents: Cognitive Diversity and Multi-Agent Debate in Small Language Models Representational Simplicity and Circuit Size Dissociate in a Threshold-Dependent Way: A Controlled Test via Adversarial Training Self-discovering RL in the Era of Experience: Is Learning History an Asset or a Burden? Grab a Coffee: Future-Aware Guidance for Discrete Diffusion with Compiled Objectives Right Words, Wrong Moment: A Clinician-Grounded Analysis of Distress in 19,930 Conversations between Young People and ChatGPT SAGE: A Statistical Acceptance Gate for Self-Evolving Agents PowerZooJax: A JAX-based Power System Benchmark for Reinforcement Learning GeoWind2Plan: Mission-Time 3D Urban Wind Prediction for Energy-Efficient UAV Planning Mirror-Score: Calibrated, Inference-only Scoring Exposes the Limits of Sequence-compatibility Ranking in D-peptide Design SMat-Attention: Structured Long-Context Sequence Modeling LongCat-DeepResearch Technical Report A Polyphonic Conception of AI Understanding GeoOutageBench: Benchmarking Ambiguity-aware, Ontology-grounded Geospatiotemporal KGQA for Multimodal Power Outage and Resilience Analysis An Exact Generate - Transform Decomposition of Small-LLM Team Scaling Across Orchestration Architectures The Layer Mystery of VLA: An Information-Theoretical Analysis of VLA Latent Interface AdaST: Adaptive Coupling for Spatial-Temporal Forecasting Memory Is a Derivation: The Distributed-Evidence Paradox in Long-Term Agents More Features Are Not More Evidence: Limits of Training-Free Human Activity Recognition with Jev Principled Thoughts for Latent Recursive LLM Systems FigAct: Turning Scientific Figures into Active Canvases for Explanation An Empirical Study and Assessment of EU AI Act Compliance Checkers MERID: Multimodal Exploration via Recursive Self-Improvement Agents for Major Depression Analysis ChronoSRL: Temporal Geometry for Self-Supervised Reinforcement Learning CoRe: Co-Evolving Reward Models for Mitigating Latent Reward Hacking in Video Diffusion Models Towards Mitigating Deceptive Safety Alignment in Large Reasoning Models OTROPE: Optimal Transport-based Robust Off-policy Evaluation for Large Language Models From Surfaces to Volumes: Registered Geometry for Protein Representation Learning Illusory Truth or Mere Exposure? Model-Dependent Repetition Effects in LLM-Based Social Media Simulations CheatBench: Measuring Reward Gaming in AI Agents StateTape: Action-Conditioned Evidence Lifecycle Modeling for Long-Horizon Coding Agents Towards an AI Software Factory for Data Systems PILLAR: Private Inverted-Index Lexical Lookup for Augmented Retrieval ThuRunel: Dynamic Decoupling for Structured Advisory Dialogue HyperZip: Efficient Data Compression through Personalized Diffusion LLMs with Hypernetworks Better Nearest Neighbor Graph Indices via (Efficient) LLM-Guided Pruning Engineering Simplicity: Simple Mechanism Interfaces Steer LLM Agents Support-Set Target Leakage in Relational Foundation Models during In-Context Learning: Impact, Detection, and Mitigation Persona Dosing: Calibrated Activation Steering for Graded Trait Control ARCagent: An Adaptive Retrieval Calibration Agent for Clinical Question Answering From Retrieval to Reasoning: Agentic Mechanism Prediction from Cell Painting Profiles Support-Set Target Leakage in Relational Foundation Models during In-Context Learning: Model Dependence and Evaluation Reliability The Safety Operator: Modulating the Expression of Safety Instructions via Spectral Optimization Bits Under ZK-LLM: Evaluating Zero-Knowledge-Friendly Quantization for Verifiable Private LLM Inference Rethinking Reasoning Paths as Phase-Structured Trajectories Going Beyond State-Reaching: Learning Abstractions for Intrinsically Motivated Option Discovery Learning to Harvest Without Collapse in a Regenerative Commons: A Lagrangian Framework Human-AI Collaboration: From Paradoxes to Patterns AVIO: Learning to Add and Remove Sounding Objects in Audiovisual Scenes BRIDGE: Bilevel Retrieval-Credit-Aware Agentic Reinforcement Learning MAADBench: The Refreshable Paradigm for Anomaly Detection in Multi-Agent Systems Visual sensitivity is not claim retractability: persistence-aware credit assignment for multimodal reinforcement learning Divide and Inject: Can Agents Reconstruct an Indirect Prompt Injection from Fragments? SafeCoEvo: Co-Evolving Safety Harnesses and Guards for LLM Agents at Test-Time MemEvo: Automatic Discovery of Streaming Video Memory Mechanisms Transformers Stop Thinking Too Early, and a Tiny LoRA Fixes It SAKI: Maximal-Coupling-Routed Teacher Supervision for On-Policy Distillation Multi-Channel Mitigation of Source-Trust Shortcuts in Fact-Checking RL Agents Neural Structural Reasoner: A Brain-inspired Architecture for Reasoning over Structured Knowledge DualTrack: Synchronized speech-gesture generation via symmetric coupling of pretrained priors Semantic Projection for Continual Self-Evolution of Language Agents Distilling Agentic Systems: A Roadmap across Models, Artifacts, and Harnesses RankBuffer: Efficient Ranking-Based Rewards for Open-Ended Generation FineSID: Scalable and Efficient Semantic Identifier Learning for Generative Recommendation FairDiff: Mitigating the Self-Reinforcing Matthew Effect in Diffusion Recommender Models MLToolBench: Learning Tool-Augmented Agents for Machine Learning Development JudgeProfile: Understanding and Steering Subjectivity in LLM Judges Can AI Scientists Change Their Minds? Prior-Evidence Conflict in Synthetic Universes Can Agents Design Libraries for Agents? BiFE: Search-Efficient Discovery of CPU-Only Branching Policies via LLM-based Bi-Fidelity Evolution Distinguish or Homogenize: Last-Chance Policy Identification and Risk-Budgeted Recovery under Irreversible Resource Depletion SIPO: Unifying Reinforcement Learning with On-Policy Self-Distillation EASE: Behavior-Adaptive Skill Curation for Self-Evolving Agents Generalizable Lifelong Model Editing via Preference Optimization Emergent Specialization in Populations of Self-Supervised Collaborative Vision Experts Without a Shared Gate or Cross-Agent Gradients Code4Scene: Benchmarking Coding Agents for Constructing and Editing 3D Scenes Aperture: Merge-Consistent Rotary States for Compressed Tokens AI as a Compiler: Compiling Triton kernels without the Triton compiler UpliftMem: Learning Set-Level Uplift for Agent Memory Retrieval CAD-Native Transformer Operators for AI-Aided Engineering Geometry-Conditioned Fixed-Scaffold Encoders for Time-Warp Robust Sequence Retrieval Calibrate the Decisions That Change the Future: On-Policy Post-Training Quantization for Multimodal Large Language Models The Default Trap: Rethinking Plan Evaluation in Tool-Using LLM Agents Where Does Staleness Accumulate? Pool Aware Effective Staleness Control for Asynchronous RL in LLM Post-Training ARC-KV: Amortizing Anchor Search for Reconstruction-Based KV Cache Compaction Automated Screw Planning for Reduced Pelvic Fractures Based on Statistical Shape Models and Deep Learning When Upstream Messages Override Correct Answers: A Controlled Study of Multi-Agent LLM Collaboration IronLLM: Forging Compact Edge-Native Language Models for Real-Time Embodied Intelligence State Trace Rationale As Auxiliary Task in Reinforcement Learning WEFT: Scaling Tool-Use Post-Training for General-Purpose Agents Beyond Sub-Gaussian Detector Scores: Robust Weighted Profile-Loss Change Point Detection for Human-LLM Text Segmentation Harness Evolution as Learning: Approximation, Generalization, and Optimization Limits of Self-Improving Personal Agents HorizonFlow: Variable-Length Planning for Offline Goal-Conditioned RL STAR-GRPO: Canonical Anchoring and Reliability-First Advantages against Representation-Dependent Reward Hacking PrecogUI: Proactive GUI Agents via Pre-cognitive Simulation and Experience Retrieval Neuro-Symbolic Computer Use: Learning Reusable Policies for Reliable and Efficient Execution Learn from the Gap: Differential-Aware Advantage Pruning with Adaptive Rollout Sampling for GRPO VLALight: A Vision-Language-Action Model for Traffic Signal Control CoEM: Empowering Long-Context Reasoning with Commit-on-Evidence Memory SCA: Spatial Credit Assignment for Reinforcement Learning of GUI Agents Dual-Channel Robust Group-Relative Policy Optimization via Advantage and Sequence-Weight Estimation REALHOP: Rethinking Multi-Hop Reasoning Evaluation via Behavioral Auditing CF-LoRA: Decoupled Factor Aggregation and Adaptation-Aware Client Clustering for Federated LoRA Fine-Tuning ImbalancE: Inference-Time Latent Search Against Degree Imbalance in Link Prediction CADOC: Cache-Aware Dynamic Object Context for Long-Horizon Agents Physics-Informed Multi-Agent Coordination for Hospital Patient Flow Optimization Language as the Interface: Foundation-Model Contrastive Learning Links Transcriptomes and Electrophysiology AnyAct: Universal Action for Self-Evolving Agents Beyond Low-Rank Parameterization: Narrowing the Gap Between LoRA and Full Fine-Tuning via Gradient Decomposition FedLAFP: Low-Rank Aggregation Meets Full-Rank Personalization in Federated Fine-Tuning Watch-Think-Interact: Bootstrapping Long-Horizon Multi-Turn Streaming Video Reasoning with Reinforcement Learning MatToolBench: Benchmarking Multimodal Agents in Real-World Materials Science Workflows actr: aligning thoughts and responses for multilingual safety in reasoning llms Breaking the Illusion of Review Reliability under Static Evaluation: SCOPE Fuzzing for LLM-based Scientific Reviewers Learning from Viable Failure Prefixes: Milestone Viability Potential Policy Optimization for Long-Horizon LLM Agents When Should Agents Check External State? Budgeting Observations for Stored Intentions SkillCome: Group Contrast Skill Optimization with Dual Memory Train Ahead, Distill Back: Bootstrapping On-Policy Self-Distillation for Large Language Models From Judgment Quality to Downstream Utility: Rethinking LLM-as-a-Judge for Open-Ended Tasks When Tools Silently Lie: Evaluating and Mitigating Blind Compliance in Tool-Augmented Data Agents From Learner Behavior to Reusable Skills for Effective and Efficient Learner Simulation SimpleEvol: An Agent-Loop Framework for LLM-Driven Automated Heuristic Design with Minimal Human Priors Absorbed in Inertia: Activation Analysis for Computer-Use Agents Accelerated surrogate dynamics for dynamical, stochastic system evolution V-Engram: Trigger-Indexed External Memory for Modular Text-to-Image Personalization Learning to Prove, Not Just to Answer: Reinforcement Learning from Formal Verification for Natural-Language Logical Reasoning Information Bottleneck-Guided Adaptive Hypergraph Transformer for Brain Disease Diagnosis OptiCom : A Unified Framework for State-Conditioned Composition in LLM-Driven Optimization Asking for What Was Never Requested: Horizontal and Vertical Proactivity in Agents Foundations of Proactive Agents: Principles, Technical Layers, and Proactivity-Gym Task-Relevant Null-Space Residuals for Non-Injective Neural Mappings Transolver-$\sigma$: Joint Spectral-Physical Subspace Modeling for Neural PDE Solving AssayRouter: Historical Utility Priors for Frozen Molecular Predictor Routing MetaCtrl: Your Large Language Models Can Reason Better and More Concisely with a Metacognitive Controller ReMem: Rethinking Perception and Memory in Long-Context Recommendation Agents Mubric: Mutation Testing-Guided Rubric Generation for LLM Evaluation VISTA: Value-Informed Event Appraisal for Multimodal Emotion Conflict Solving Without Stopping: On-Policy Distillation at Small Scale Seek Before You Move: Evidence Seeking for Progress Grounding in Vision-Language Navigation Teaching LLMs to Generate Challenging MILP Instances via Solver Feedback Pretrain Once, Route Anywhere: Towards a Foundation Model for LLM Routing Beyond Prompt Count: How Data Shapes Transfer in On-Policy Distillation Direct Experience World-Model Optimization: Learning the World Beyond Action Imitation Routing Should Pay for Itself: Sparse Supervision for Economical LLM Routing Demistifying Data and Simulator Assumptions in Supervised Causal Discovery Commitment Hierarchies under Intent Revision: A Belief-Revision Account of Salvage in Tool-Use Agents Governing the Edge: Automating Commercial Property and Casualty Insurance Underwriting via a Hybrid Local-Cloud Multi-Agent Framework VeriWeave Govern: Evidence-Gated Deterministic Runtime Governance for Enterprise AI Agents CRASM-Gate: Deterministic-First Constraint- and Role-Aware Semantic Mapping with Selective Model Assistance Across Heterogeneous Industrial Standards Authority Before Utility: Non-Compensatory Control for Persistent LLM Memory Boundary-State Control for Tool-Using Language-Model Agents: Commit-Time Consistency under State Drift SkillGym: Training Skill-Use Agents with Automatic Verifiable Environment Generation How Can Recommendation Feedback Evolve Agent Memory? Rational Clarification by Assistive Agents via Value-of-Information Reasoning FOCUS: Training-Free Decision-Preserving Context Compression for LLM Agents XU-RS: Explaining Credal Width in Random-Set Language Models Flattening the Connectome Spectrum: A Spectral Filter for FC Induces a Pretraining Target for fMRI Encoders Beyond a single latent space: a dual-latent world model for long-horizon planning EnterpriseBench: Benchmarking LLM Agents on Enterprise-Level Strategic Reasoning and Decision-Making MeanFlowAdvantage: Stable Reward Fine-Tuning for Few-Step Average-Velocity Generators KUPAS MASTER: Distilling the Tacit Expertise of Master Practitioners into Agent-Ready Experience Corpora Learning from Shared-Control Overrides: Context-Driven Acceleration Profile Prediction for Personalized Overtaking EngiWorld: What Can Frontier Agents Deliver in Professional Engineering Environments? WISE-ATTA: When to Ask for Labels in Budgeted Active Test-Time Adaptation Locating Answer-Correctness Signals in Frozen Large Language Models Generative Interactions: Weaving Multiparty Human Motion with Bilevel Latent Dynamics Context Language Models Spatiotemporal Hyperedges for EEG Seizure Detection and Prediction ContextRender: From Execution Dependencies to Agent Context Cross-Entropy Guided Routing in Mixture-of-Experts Large Language Models OmniVCBench: Benchmarking Evidence-Grounded Multimodal Reasoning Towards AI Virtual Cells Adam under Generalized Smoothness with Second-Moment-Type Stochastic Gradients A neural network that maintains and retrieves memories based on context DIET: Deletion-response Expert Trimming for Video Diffusion Transformers Can a Cacheable Decision Model Follow Rules? Mixture of Self-Improving Branches For Agent Harness Optimization Active Budget Can Kill Sensitivity: Diagnosing and Repairing TopK Sparse Autoencoder Reliability Co-PiLOT: Constrained Physics-Informed Latent Optimization for Target-Driven Inverse Design Guide, Then Let Go: Gap-Adaptive Teacher Scheduling for Sparse-Reward Agentic RL You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference Pixels to Keys: Exploring Spatial and Motion Cues in Gameplay Inverse Dynamics GRFBrain: Graph-Structured Rectified Flows for EEG Dynamic Modeling Video-RSI: Recursive Self-Improvement of Video Understanding Agents via Harness Evolution Topological Coherence for Self-evolving Multi-agent Systems BrainNet Studio: A Unified Toolkit for Brain Network Construction, Intelligent Analysis, and Visualization SelfSearch: Reward-Free Search for Self-Improving Agents KV-Kaizen: Learning Context-Adaptive Cache Compression Choices Which Attention Heads are like the Human Head? Not the Ones that Compute Diagnosing and Improving Probabilistic Reasoning in Large Language Models HARISSA: Inference-Time Self-Checks for Efficient and Safe Local Language Model Deployment Brain-SAD: A Brain-Inspired Safe Autonomous Driving Control Framework with Dynamic Fear-Oriented Constraint on Dual-Policy PE-EK-PINN: Physics Embedding with Evolving Kernel for Scalable Physics-Informed Neural Networks Retrieval-Augmented Skill Optimization via Cross-Harness Adaptation UserProxyBench: Evaluating LLM User Simulators for Agent Benchmarks and Training Probability is Not Enough: Exploring and Counting Divergent Tokens for Reasoning Uncertainty Quantification in LLMs Character Training for Risk-Averse Agents NeuronEye: Query-Guided Visual Concept Activation for Vision-Language Reasoning Do LLM Agents Execute the Plans They Declare? From Planning-Mode Declaration to Pattern-Specific Execution Stochastic World Models for Verifying Vision-Based Neural Feedback Systems AdviSD: Learning to Advise Frontier LLMs via Targeted Multi-Turn Self-Distillation Learning Meta-Skills for Agent Harness Design in Test-Time AI4AI Thinking Before Thinking: Scaling Agentic Inference Through Meta-Reasoning Bathtubs, Boundaries, and Sandboxes: AI Regulatory Learning under Legal Uncertainty Sage: Formalization with Semantic Correction Calibration-First Cross-Cohort Multimodal Temporal Learning for Transferable Asthma-Risk Forecasting Binarization Flattens the Score Space Evaluating the Effects of Prompt Perturbation on Bias and Hallucination in Large Language Models Alignment Forecasting: Predicting Misalignment From Training Data From Lexical Baselines to Agentic Retrieval-Augmented Generation: Structured Skill and Responsibility-Level Extraction with the SFIA Framework Environment Steering: Using Data Flow Control to Improve Agent Utility and Safety When Successful Memories Mislead Embodied Agents:Memory Adaption For Task-Conditioned Execution Can Multimodal Large Language Models Generate and Detect Multimodal Social Media Fake News? TRACE: Deployable Tree-Relational Structure Enhancement for Oncology LLMs Lookahead-R: Budget-Aware Tool Retrieval via Execution-Centric Planning Local Predictability and Collective Fidelity in LLM-Agent Societies Constructing Challenging Browser-Use Tasks by Controlled Environment Interventions How to Run Statistics over LLM Judges and Trust the Results: Calibrated Inference for Small-Sample AI Evaluation with evalstats PrimeSeeker: Capability-Oriented Supervision for Deep Search Agents Less Uniform Discrete Diffusion is More Powerful and Scalable $\tau$-Multilingual: Benchmarking Voice Agents Across Languages When Should LLMs Trust Their Own Revisions? A Risk-Aware Study of Intrinsic Self-Correction Estimation of Room Impulse Responses from Handclaps Beyond Rule-Based Mutation Testing: Test-Aware Mutant Generation Using Large Language Models Position: Let's Strengthen Verifiability If We Can't Enforce Reproducibility Mara Chain: Rethinking Failure as a Stepping Stone for AI System Auto-Evolution Beyond Keywords: Leveraging Generative LLMs and Label Aggregation to Classify Economic Policy Uncertainty in News Articles The Detectability Gap: Hidden Heterogeneity in Hallucination Detection Across Language Models PACT: Pairwise-Anchored Calibrated Tuning for Single-Token Typed Decisions CruxBench: A Benchmark of Information Discovery Agentic Commerce Bench: Measuring Fraud Detection for Agents That Spend Money SINGED: Correct Outputs Do Not Certify Safe Execution in LLM Agents Reconstructing Implicit Scientific Knowledge: Evaluating LLM Agents through End-to-End Reproduction of Astronomy Similarity Is Not Validity: Defending LLM Semantic Caches Against Poisoning Cheap to Hypothesize, Costly to Verify: The Defense Surface of Agentic Vulnerability Discovery Learn Now, Use Next, Trust Later: Prequential Test-Time Learning for LLM Agents MMSkillRisk: Can Agents Stay Safe When Multimodal Skills Become Traps? UNBIND: UNlearning By INference-time Directional Steering for Code LLMs Evaluating Name-Only Directory Routing for One-Shot Code Search Almost Human, Except When It Matters: VoxParity and the Decisions a Voice Should Change Normative Loss Landscape Navigation: A Trajectory-Based Approach to Mitigating Forgetting in Incremental Learning Prompted Identity Degrades Cooperation in Multi-Agent LLM Systems Same Bytes, Different Authority: Reserved-Token Representations in Chat-Template Prompt Injection Graph neural networks for sampling-invariant embeddings of organized signal sets Embodied Semantic Communication for Collective Autonomous Agents: A Tutorial on Representation, Wireless Delivery, and Closed-Loop Coordination PrivacySkills: How Privacy Guidance Shapes Source Selection in LLM Agents Intrinsic Associative Memory on Riemannian Manifolds: Curvature, Capacity, and Emergent Modes HEAR: Real Voices, Real Bias: A Large-Scale Human-Recorded, Demographically Diverse Benchmark for Audio Language Models ROSS: Relearning from Self-Generated Rollouts through Selective Supervision Solver Agent: an Agentic AI Framework for Theoretical Physics Computations Applied to F-theory Uplifts of O3-planes and S-folds Systematic Multi-Agent Vision-and-Language Navigation: Formulation, Benchmark, and Method Causal and Interpretable Structures in LLM Compositional Tasks Infrared Subtraction with Artificial Intelligence TORQUE: Optimizing What (not) to Quantize Before and After Rotation Neural networks for spectral optimization Improving scalable oversight with co-trained monitors What if automating AI R&D triggers an intelligence explosion? Mnemon: Raw Records, Fast Judgments, Slow Thoughts Understanding Decision-Making Mechanisms in Neural Routing Solvers FLOORA: A Human-Aligned Domain-Specific Language Model for Architectural Design AerialDojo-200K: A Large-Scale Benchmark Suite for Open-World Aerial Object-Goal Search The Uneven Decline of Collective Knowledge Production: Evidence from Stack Overflow After Generative AI Measuring trainable degrees of freedom in materials graph neural networks: a random-subspace intrinsic dimension analysis PADM\'E: Preference Alignment Data Synthesis for Meta-Evaluation of LM Agent Evaluators PHASE: A Physiology-Guided Hierarchical Foundation Model for Intracranial EEG One Geometry, Different Outcomes: Readout-Dependent Effects of the Modality Gap in Vision-Language Models LoopICL: Looping a single transformer block to solve tabular tasks ThinQuant: Scalable Rotation Learning for Weight and Activation Quantization of LLMs Render Before Reading: Visual Rendering as a Prompt Injection Defense Reasoning with Neural Cellular Automata Accessible, but Not Adopted: Increasing LLM Adoption among First-generation, Low-income (FGLI) College Students beyond Expanding Access Language Models Are "Insecure" Reporters Encoder-Sharing Hierarchical Federated Multi-Task Learning for VANETs From Dead Code and Static Requirements to Working Engines: Software Revival with Coding Agents Adversarial Debiasing of Machine Learning Models for Enhanced Network Security against DDoS Attacks Draft in Parallel, Condition Through Depth: Adjacent Causal Injection for Speculative Decoding Targeting Pivotal Decisions for Credit Assignment in Agentic Reinforcement Learning PreviewDiff: Multimodal Critic-Guided Search over Diffusion Latents SCOUT: Synergizing Reasoning and Tool-Use for Computer-Use Safety Representable but Unlearned: Encoding Rank and the Interaction-Prediction Floor CineSubBench: Evaluating LLMs on Long-Form Narrative and Cultural Understanding from Multilingual Movie Subtitles Mutually Adversarial Self-Training with Evolving Data for Unified Multimodal Models Think Before You Restore: Risk-Aware Manchu Manuscript Restoration with Stroke-Guided Attention Population Fidelity: Evaluating Population Representativeness in LLMs Paired Multimodal Scaling Laws In-Context Learning Amplifies a Latent Symbolic Circuit Proofs Without Nominals: G\"odel's Ontological Argument, its Shallow Embedding, and the Open Questions of the Monatshefte Notes How Much Prompt Is Enough? A Blackbox Minimization of Few-Shots in LLMs MoRE: Scaling mixture of experts with hardware-aware low-rank routing PyroStack: A Multi-Band Spatio-Temporal Sub-Daily Dataset for Wildfires in the United States Training LLMs to Verbalize Evaluation Awareness Periodic Weak Spots: Phase Sensitivity from Chunked KV-Cache Compression DecoyTrace: Toxic Decoys for Active Defense in Decentralized Federated Learning Calibrating One-Round Membership Inference with Neighbors ATLAS: Aligned Transport of Latent Structure for Reliable World Model Planning Representation by Design in Generation: Cross-View Class-Token Alignment in Diffusion Transformers Explainability from Training with Applications to TCR-Epitope Prediction Compress to Remember: Learning Compact Memory via On-Policy Distillation for Long Video Generation Cross-attention encoding models reveal dynamic spatiotemporal routing across human higher visual cortex AdaKerNet: Neural Kernel Decoding for Task-Adaptive Prediction with Multimodal Large Models LatentSift: Policy-State Filtering for Token-Efficient Verification of Software Engineering Agents Audience-Bound Persistent Memory: Authorization Across the Memory Lifecycle Quantization Enables Private Dense Retrieval against Malicious Service Providers Reward-rate Policy Gradient for Efficient Machine Learning Engineering Agents Where Should Physics Enter a Molecular Crystal Generator? Calibrated to Whom? Persona and Language Effects on Cultural Values in JEV Longer Records, Broader Invariance: The Hidden Scaling Problem in Longitudinal Contrastive Learning FineART: Fine-grained Annotated Robotic Trajectory Dataset and Vision-Language-Action Model for Bimanual Manipulation Online Versatile Incremental Learning: Towards Class and Domain-Agnostic Adaptation at Any Time Reliable Parallel Decoding in Masked Diffusion Language Models Channel-Dependent State Space Model for Multivariate Time Series Forecasting Emergent Tonal Structure in Learned Chord Embeddings and Its Relation to Tonal Tension Staircase Policy: Streaming Inference for World-Action Models with Large Action Chunks Similar Choices, Different Attention: Cross-Modal Associations in Humans and Vision-Language Models Guard Models Are Overconfident Where Base Models Are Uncertain Quantum Computing for Network Security Classification: Near-Term Classification and Long-Term Memory Efficiency LLMs Learn to Evade Latent Monitors from Prior Feedback Alone Benchmarking Vision-Language Models on Synapse Detection and Proofreading in Connectomics InterBias-SV: Compound Conditions in Speaker Verification Towards Breaking the Learning System Wall Using Multimodal Tutoring Transcriptions Large-scale factor analysis shows machine intelligence is only partially interpretable LIBERO-MAX: Do Robot Policies Adapt When the World Changes? Reliability Testing of Medical Model Performance under Distributed Deployment Adapting Context Compression for Long-Horizon Agents with Counterfactual Continuations DraftTrace: A Multi-View Analytics Environment for AI-Integrated Writing Interactive-Policy Distillation with Bidirectional Propose-and-Verify SERA: Scale-Equalized Rollout Allocation for Maximum Likelihood Reinforcement Learning How Medical VLMs Underutilize Their Vision Encoders: A Dermatology Perspective HiTS-CL: A Continual Learning Framework for Long-Horizon Temporal Knowledge Graph Extrapolation FM-ReID: Selective Competitive Token Routing for Object Re-Identification ThinkingGuard: Decoding Implicit Hazards via Step-by-Step Risk Attribution in Multimodal Large Language Models From Checkpoint Variation to Selection Gains in Supervised Fine-Tuning CounterSteer: Suppressing Indirect Prompt Injection with Activation Steering Long-Term Memory-Guided Enhancement for Target Perception in Audio-Language Models Factorized Scheduling Principle: Learning Interpretable and Transferable Policies via Structured Additive Functions Cooperative Multi-Agent Vision-Language-Action Models via Reinforced Fine Tuning Text2Sim: Agentic Physics-Based Simulation Generation with Distilled Expertise Simple Agentic Memory for Generalist Robot Policies Scaling Video Generation for Reasoning: At What Cost? Second-Moment Stochastic Approximation Methods WitnessGym: Benchmarking Coding Agents on the Construction of Bug Witnesses Inducing Process Supervision from Outcome-Only Reinforcement Learning Where Predictive Supervision Goes Shapes What VLA Policies Learn FocusVTC: Efficient and High-Performance Visual Text Compression with Adaptive Resolution Constitutional adapters: Inference-time interventions for misalignment and misuse AutoLoCo: Communication Efficient Distributed LLM Training via Adaptive Synchronization MyoCodec: A Streaming Neural Codec for Electromyography Normalize-Then-Precondition: A Hierarchical Approach to Marginal Scale and Interaction Geometry for LLM Training Lost in Conversation or Lost in Translation? Diagnosing Multi-Turn Degradation in RAG Frontier Autolab: Organizational Memory, Adversarial Dissent and Temporal Leakage in Multi-Agent LLM Firms Across Fifty Years of Technological Change Group-Marginalized Self-Rewarding RL Drives Zero-Label Self-Evolving NesTok: Nested Self-Aligned 1D Tokenizer for Autoregressive Image Generation Dual-Mode Low-Rank Learner with Bridge-Prototype Ensemble for Vision-Language Class-Incremental Learning Beyond Conditional Independence: Root Cause Analysis with Deep Causal Models VAA-CSEC: Vote-guided Advantage Allocation for Chinese Semantic Error Correction Spotter: Let the Embodied Model Lead, and the VLM Reflect for It Diffusion Policy Improvement with Proposal-Conditioned Refinement Flows On-Policy Visual Evidence Distillation DSWM: Decomposed Spatio-Temporal World Model for Demand-Driven UAV Base Station Repositioning Does the Unsafe Gradient Survive a Conversation? On the Fragility of Gradient-Based Jailbreak Detection in Multi-Turn Dialogue Safer Content or Firmer Refusals? A Hybrid Perturbation Defense for Alignment under Harmful Fine-tuning SKILLLITE: Evidence-Guided Malicious Skill Auditing with Compact LLMs Digital Twin Modeling of Quantum Dynamical Systems: Dissipative Quantum Reservoir Computing MultiTalk: Scaling Full-Duplex Speech Models to Long, Multi-Party, Bilingual Conversation BaLEEN: Biasing with Latent Encoded Entities for Context-Aware ASR AeroManip-VLA: Scalable Vision-Language-Action Learning for Aerial Manipulation with RL-Generated Demonstrations State Transport Routing for Short-horizon Adaptation in Multi-horizon Photovoltaic Forecasting WeLike2Party! In-Context Motion Transfer for Multi-Human Image Animation Safe-by-Design Learning via Energy-based Neural Networks ER-JEPA: Experience Replay Improves Joint-Embedding Predictive Learning in Language Models Purlin: Separating Orchestration from the Datapath of Collectives Controlled Decoding Attacks on Black-Box LLMs VStress: Correlation-Aware Auditing and Adaptive Budget Allocation for Repeated Verifiers JudgeCast: Time Series Forecasting with Experience-Informed Covariate Judgements SRJudge: Empowering Large Language Models with Selective Reasoning for Fine-Grained Knowledge Concept Tagging Abductive World Modeling via Causal Representation Learning Salt++: Context-Aligned Post-Training for Few-Step Streaming Multimodal Generation Cross-Organizational SysML Model Integration: A Survey of Challenges and AI-Supported Tasks Parameterized Stripe Attention for Efficient Video Generation Visual Parallel Search: Learning to Search High-Resolution Images with Parallel Tile Inspection and Adaptive Zoom OPFL: Optimistic Verification of Federated Learning via Empirical Boundary Embedded Bi-Temporal Building Damage Assessment for On-Board Data Reduction LongSpark: Efficient speculative decoding with a fixed-cost parallel drafter MotionInsight: Diagnosing Object Motion Deficiencies in Generated Videos NowcastDiT: Diffusion Transformers are Effective Precipitation Nowcasters Selecting The Most Informative Tokens in Natural Language Autoencoders Beam Search as Test-Time Self-Distillation via Counterfactual Contexts Evolving Towards Better Codes: LLM-Guided Search for High-Distance Binary Linear Codes A Comprehensive View of Fairness through Distributional Stability Beyond Compression: Diagnosing How Post-Training Changes Mathematical Reasoning FACT: Fidelity-Aware Construction of Articulated Twins Predictive Safety Curricula for Robust Legged Locomotion Identifying ODEs from Unstructured Data with Causal Representation Learning ARGOS: Reinforcement Learning-Driven Multidimensional Elasticity for Service Orchestration in the Computing Continuum What Does Post-Training Change in Multilingual Reasoning? VACE: Validation-Gated Alternating Co-Evolution of Agent Models and Harnesses Designing a Boundary Negotiating Artifact for Collaborative Socio-Technical Sense-Making in AI Regulatory Sandboxes Multichannel Audio Quality Assessment: Extending Pretrained Perceptual Models to Spatial Audio Unlocking the Critic: Reward-Free Policy Optimization for LLM Post-Training SQUARE: Structured Quantum Representation Adapters as Compact Quadratic Feature Maps for Frozen Language Models Lucid Dreaming for World Models: Learning to Doubt Imagination and Decide by Trust Trajectory Soup: Pushing the Compute-Scaling Frontier of LLM Mid-training via Diverse Trajectories Interpolated Policy Distillation: A Controllable Continuum Between Off-Policy and On-Policy Distillation EgoHumanoid-V2: Human-to-Humanoid Transfer of Coordinated Whole-Body Skills for Loco-Manipulation ToolFence: Fine-Grained Authorization for Secure Tool-Using LLM Agents CRJudgeBench: Can AI Detect Plausible but Invalid Code Reviews? Beyond Semantic Narrowing: Robust and Efficient LLM Watermarking with Hamming Neighborhoods ResComEmb: Effective and Efficient Multimodal Embedding via Residual Homogeneity Compression Follow the Entities: A Corpus Map for Agentic Search DatalogBench: Evaluating Large Language Models on Text-to-Datalog Synthesis Codebook-Guided Cross-Modal Knowledge Distillation for Structurally Heterogeneous Features V-JEPA Policy: Building Effective World-Action Models on Predictive Visual Latents Loss-Guided Pretraining Data Selection for Time-Series Foundation Models UniAfford: Token-Routed Multitask Learning for Generalizable 2D-3D Affordance Perception VISTA-Bench: Benchmarking Multilingual Image Translation with Image-Specific Rubrics Hidden Reasoning Must Leak, but Need Not Be Readable: Fundamental Opportunities and Limits for Chain-of-Thought Monitoring Do Agent Benchmarks Do What They Say? An Executable-Contract Audit of Tool-Using Agent Environments PowerMarketJax: A JAX Benchmark Suite for Multi-Agent Reinforcement Learning in Power Markets A Sharp Transition in Data Reconstruction under Differential Privacy TAEC: Trajectory-Aware Evidence Coordination for Multi-Step Visual RAG Port-Hamiltonian Latent Deliberation: Mitigating the Deliberation Drift Cliff in Test-Time Compute Scaling Encore: Few-Shot Agentic Discovery of Manipulation Strategies Compiling Learning Problems into Adaptation Programs for Language Models Do-JEPA: From Masking to Intervention in Latent World Models Complexity-Aware Evaluation of LLM Comprehension Simultaneous Neural Optimal Transport LazySloth: Bounded LLM-based Lazy Tree Search for Fast Long Video Comprehension Learning to Retrieve Missing Evidence for Long-Term Memory QA Engineering Efficient Self-Play Chess: Search, Replay, and Throughput Under Limited Compute Backdoor in the Loop: Compromising Agentic Search via Malicious Retrievers Regime Boundary Alignment for Evidence-Gated Question Answering Risk-Controlled Selective LLM Answering by Pricing Label-Free Checks Evaluating Bounded Autonomy in Regulated Agentic AI: A Diagnostic Harness with Constitutional Rewards, Escalation Labels, and Runtime Governance Hierarchical Compression of Vision-Language Model Benchmarks Video2STL: Grounding VLM-Generated Temporal Specifications for Robot Learning DScale: Scaling Block-Diffusion Speculative Decoding with Adaptive Verification Risk-Aware Semantic Grounding for Trustworthy LLM-Based Robot Planning Concealing LLM-Based Multi-Agent Topology via Phantom Structure Injection TReVS: Integrating Textual Relevance and Visual Saliency for Efficient Vision-Language Model Token Pruning FedSocket: Recipient-Executable Knowledge Exchange for Heterogeneous Multimodal Federated Learning Learning as Deepfakes Evolve: RF-Prompt for Continual Audio Deepfake Detection ReLMem: Learning Recurrent Memory for Longitudinal EHR Modeling Credit-Guided Policy Improvement for Test-time Adaptive Vision-Language Navigation Independent Verification Paths Are Not Independent: A Case Study of Common-Mode Failure in a Satellite Catalogue Pipeline AS$^2$D: Accelerating On-Demand Audio Understanding on Mobile Devices Correct, Don't Delete: Mitigating Emergent Misalignment with Corrective Supervision SPLASH: Switching Parallel Layouts of Attention with Seamless Handoff for LLM Serving ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation RLTL;DR: Self-improvement by Internalizing Self-generated Feedback Evaluating and Benchmarking the System One Model Jev Semantic Map Sharing and Capability-Aware Coverage Planning for AI-Native 6G Robotic Coordination Retrieve, Reproduce, Reveal: Dissecting Retrieval-Augmented Software Vulnerability Detection When Models Don't Manipulate Manifolds: The Geometry of a Comparison Task GARDiff: Graph-Aligned Residual Diffusion for Probabilistic Multivariate Time-Series Forecasting Width Expansion as a Method for Class Incremental Learning VIF-Bench: Evaluating Visual Instruction Following in Multi-Reference Image Generation PolyOCR-Venus: Unified OCR Foundation Models for Text-Centric Visual Intelligence Multi-Site Real-World Performance of Commercial AI for Pulmonary and Incidental Pulmonary Embolism Detection HiRAE: Hierarchical Representation Autoencoding with Residual Budgets A Benchmark & Dataset for Detecting AI-Manipulated Visual Evidence in the Court System A Proposed Rubric for Evaluating Expressed Clinical Reasoning in Large Language Model Responses Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance GLaS-JEPA: Gaussian-Regularized Speech SSL without Engineered Prediction Targets Challenges and Solutions for Bandits in the Wild: Warm-Started Mixture Bandits for Cross-Cohort Slate Recommendation Pixel-Level Transformers in Remote Sensing: A Canopy Height Case Study Explore, Execute, Evolve: A Skill Acquisition and Reuse Loop for Embodied Agents Thinking in Depth, Speaking Directly: Recurrent Latent Reasoning for Paralinguistically Grounded Spoken Dialogue Making Duplicate Reimbursement Unrepresentable: A Verified Ethereum E-Invoice System for Humans and AI Agents Privy to the Foil: Recasting Value Estimation with a Self-Privileged Critic for RLVR Scaling Influence Functions in LLMs through Eigenbasis-Corrected One-Bit Gradient Projection Is manual software optimization a thing of the past? HandAnthro: Automated Hand Anthropometry from a Single Image It's Not What the Image Shows: Irrelevant Context Destabilises VLM Judges Without Informing Them AgentBug-Smith: Automatically Reproducing Real-World Harness Bugs in Agentic Systems Learning Beyond What You Sample: Off-Policy-Aware Cross-Model Trajectory Exchange for RLVR ExceptionDrive: A Planning-Oriented Counterfactual Corner-Case Benchmark for Autonomous Driving Boids of a Feather Flock Together - Evolving Prey Behaviours Under Different Predator Attack Strategies Beyond Interaction Capacity: Estimator Scaling with Recursive Models for CTR Prediction Generated Query Expansion Still Helps Strong Sparse Retrieval: A Controlled Study with SPLADE-v3 The Unequal Influence of Bad Advice: Using Training Data Attribution to Modulate Emergent Misalignment RLX: A Unified Multi-Backend Tensor Compiler and Distributed Runtime in Rust Rollout-Marginal Distillation for Long-Horizon Autoregressive Video Generation Does Local Video Understanding Transfer Across Encounters? The EgoGears Benchmark Dagger: Decoupling-based Model Stealing Attack against Graph Neural Networks On Trajectory-Aware Training for Masked Diffusion Language Models $S^3$: Spectral Null-Space Swap Makes Reasoning Models Efficient BITEM at the NTCIR-19 R2C2 Task: Predicting Confidence from Agentic RAG Pipeline Signals No Scale Left Behind: Multi-Scale Autoencoder with Bi-directional Attention for Time Series Anomaly Detection From Unity Simulation to Diffusion-Based Augmentation: Quantifying Dataset Balance for Robust Object Detection Auditable Long-Term Memory: A Deterministic Retrieval Chain Measured at 479/475 of 500 on LongMemEval-S Dr. OPD: Learning What to Follow for Optimal On-Policy Distillation of Large Language Models doPlan: A Variable-Horizon Dataset for Multi-Stage Language-Conditioned Planning in Autonomous Driving Gender bias across LLMs is common and highly heterogenous Jaxolotl: A Unified High-Performance Benchmark Suite for LTL-Based Multi-Task RL Neural topology optimization of ship structures under propulsion machinery vibrations Correct Answers, Invalid Traces: What Verifiable Grade-School Math Reveals About Chain-of-Thought Traces How Local Mixing Encodes Relative Position in Global NoPE Attention Breaking the Uniformity Trap: Scaling Video Diffusion Model via SplitMoE Beyond the Timeline: Augmenting Long-Video Memory with Grounded Entity Biographies LeapQuant: Efficient Linear Attention with Accurate Recurrent State Quantization STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization Skill-Space Shooting for Autonomous Robot Policy Improvement Implementing Cumulative Functions with Generalized Cumulative Constraints Sequence Variables: A Constraint Programming Computational Domain for Routing and Sequencing Agentic AI for Clustering, Relationship Discovery, and Semantic Trading in Prediction Markets Nonlinearity as Rank: Generative Low-Rank Adapter with Radial Basis Functions Beyond Pixels: A Vector-to-Graph Framework for Reliable Schematic Auditing FloCA: Towards Faithful and Logically Consistent Flowchart Reasoning Evaluating Test-Time Scaling of General LLM Agents CIRCLE: A Framework for Evaluating AI from a Real-World Lens OntoTKGE: Ontology-Enhanced Temporal Knowledge Graph Extrapolation Read the Paper, Write the Code: Agentic Reproduction of Social-Science Results TimeTok: Granularity-Controllable Time-Series Generation via Hierarchical Tokenization ProCompNav: Proactive Instance Navigation with Comparative Judgment for Ambiguous User Queries Process Matters more than Output for Distinguishing Humans from Machines EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium Are Agents Ready to Teach? A Multi-Stage Benchmark for Real-World Teaching Workflows COLLATOR: Compositional Multi-Agent Orchestration with Counterfactual Reinforcement Learning Ottilie: A Socially Intelligent Virtual Host for Sales-Driven Live Commerce Harnessing LLM Agents with Skill Programs DemoEvolve: Demonstration-Guided Harness Evolution under Sparse Feedback Boosting Knowledge Graph Foundation Models via Enhanced Negative Sampling KLineage: Recovering the Missing When of Kernel Optimization by Deoptimizing Experts Diversifying RLVR Rollouts via First-Token Exploration DeepSurvey: Agent-Oriented Automated Survey Generation with Analytical Depth and Citation Reliability SoftSkill: Behavioral Compression for Contextual Adaptation The Hitchhiker's Guide to Agentic AI: From Foundations to Systems Rater State Bias in RLHF Preference Data: An Audit Framework JUMP: Efficient Membership Inference on Fine-Tuned Diffusion Language Models When Do Agent Loops Mistake Stagnation for Progress? Self-Evaluation Bias and Externally Grounded Verification in Long-Running Autonomous LLM Agent Loops Belief-Guided Decision Making with Uncertainty Gating in the Game of Go XBridge: Entity-Grounded Latent Bridge for Heterogeneous LLM Communication Decode-Branch Transformers: Decoupling the Primary Prefill Path from Additional Decode Computation Spatial Memory Agent: Experience-Grounded Procedural Memory for Spatial Intelligence From Answers to Policies: Efficient In-Context Learning System through Emulating Expert Investigation Rethinking Patch Based Multivariate Time Series Forecasting with Semantic Structured Partitioning Solving Robust POMDPs with Omega-regular Objectives via Partially Observable Stochastic Games Benevolent Bias in Multi-Turn Human-Agent Dialogue Vision Is Not Overhead: One-Pass Block Drafting for Lossless Speculative Decoding in Vision-Language Models SRPO: Setwise Relative Policy Optimization for Multi-Agent Systems AgentGrad: Intervention-guided Prompt Optimization for Multi Agent Systems A Dominant Supplier Slows Recursive Drift More Than It Steers It Root-Cause Attribution Is a Search Problem: Continual Search for Long-Horizon Agent Failures How Should Reasoning Be Organized in a Transformer's Latent Space? What Do Current Systematic Generalization Tasks Miss? A Reasoning-Centered Analysis Hapi: A Multivariable Land-Surface Transformer for Medium-Range Hydrological Forecasting at Continental Scale JEV-as-a-Judge: Accept When Confident, Escalate When Unsure Pretrained ASR Pseudo-labeling for Noisy Police Audio Audio LLMs Know When They Can't Hear You Cheap, open agents make LLM pollution harder to mitigate LLM Judge Validation Under Sparse Overlap: From Inference to Design CoMemBench: Benchmarking Collaborative Memory Boundaries across Multi-Agent Workflow Topologies RepoMAS: Solving Progressively Specified Tasks with Issue-Driven Multi-Agent Systems Adaptive Consistency Graph for Long-Horizon Agents Decision-Sufficient State Representations: Measuring and Reducing Write-Time Regret The Commit-Abstain Circuit: Why Language Models Hallucinate Instead of Abstaining Relic: From Multi-Agent Collaboration to Persistent Organizational Capability Compositional Safety Failures in Harness Evolution: Identification and Runtime Monitoring What Shared Prefixes Hide: Trajectory Dropout for On-Policy Distillation Skill2Env: Capability-Oriented Environment Synthesis from Skills for General Agents GUITAR: Structured Failure Diagnosis of GUI Agents via State Transitions After the Fix: Transfer of Corrected Agent Experience OmniTide: Co-Designing Algorithms and Systems for Efficient On-Device Omni-LLM Streaming Privacy-Preserving Full-Body Meshing from mmWave Radar via Mesh Foundation Model Supervision Applying Language Models in Clinical Medicine: Recent Trends and Perspectives STRIDE: Automated Evaluation of Text-to-Trajectory Alignment across Diverse Contexts One Readout, Many Repairs: Diffusion-Guided Hierarchical Search for Tool-Agent Repair AX is the New AEO Building Transformation Layers for Riemannian Neural Networks Just Initialize: A Training-Free Initialization Component for Large-Scale Routing Optimization RareDx: Controlled Knowledge Integration and Graph-Grounded Policy Optimization for Rare-Disease Diagnosis Signatures of semantic search in the activations of large language models Reasoning with Continuous Latent Diffusion On the Approximation and Convergence of Distributional Policy Gradient Algorithms for Risk-Sensitive Reinforcement Learning BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models RecKG: Knowledge Graph for Recommender Systems Causal pieces: analysing and improving spiking neural networks piece by piece MoCA-Video: Motion-Aware Concept Alignment for Consistent Video Editing Gondola: Grounded Vision Language Planning for Robotic Manipulation Meta-SecAlign: Training LLMs against Prompt Injection for Robust Agents Learning Task Mixtures from Task Affinities: A Probabilistic Graphical Model for Supervised Fine-Tuning LLM Serving Optimization with Variable Prefill and Decode Lengths Mitigating Cross-Image Information Leakage in Multi-Image Understanding with Large Vision-Language Models Geometrically Constrained and Token-Based Probabilistic Spatial Transformers Adversarial Defense in Cybersecurity: A Systematic Review of GANs for Threat Detection and Mitigation Hybrid Approach for Enhancing Lesion Segmentation in Fundus Images CPATTA: Conformal Supervision Allocation For Active Test-Time Adaptation Beyond Semantics: How Temporal Biases Shape Retrieval in Transformer and State-Space Models Evidence-Guided Schema Normalization for Temporal Tabular Reasoning Training-Free Global Geometric Association for 4D LiDAR Panoptic Segmentation Data-Free Pruning of Self-Attention Layers in LLMs Asymptotic Universal Alignment: A New Alignment Framework via Test-Time Scaling MGSM-Pro: A Simple Strategy for Robust Multilingual Mathematical Reasoning Evaluation Uncertainty-aware Causal Decision Making via Effect Bound Decomposition Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Science From Concept Erasure to Style Purification: Contrastive Eigenbases for Artist Style Protection Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents? On Calibration of Large Language Models: From Response To Capability Robo-Saber: Generating and Simulating Virtual Reality Players Agentic AI for Scalable and Robust Optical Systems Control COMiT: Learning Structured Visual Tokens through Sequential Communication A theoretical model of dynamical grammatical gender shifting based on set-valued set function SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language Models ContactExplorer: Contact Coverage-Guided Exploration for General-Purpose Dexterous Manipulation Altered Thoughts, Altered Actions: Reasoning Chain as Control Surface for a Vision-Language-Action Policy TabKD: Tabular Knowledge Distillation through Interaction Diversity of Learned Feature Bins Pure and physics-guided deep learning approaches for spatio-temporal groundwater level prediction Screening Is Enough Suppression Is Not Forgetting: Residual Recoverability in Visual Concept Unlearning for VLMs Revisiting the Capacity Gap in Chain-of-Thought Distillation from a Practical Perspective Query Lower Bounds for Diffusion Sampling Collective Opinion Dynamics in Structured LLM Populations PAC-CF: Calibrating Irreversible Frontier Pruning in LLM-Guided Search Amortized Optimal Transport from Sliced Potentials Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelines Replay-buffer engineering for noise-aware quantum circuit optimization Utility-Aware Data Pricing: Token-Level Quality and Empirical Training Gain for LLMs Understanding Scattered Forest Search: A Version-Space Perspective on Multi-Turn Program Correction Single-turn emergency psychiatric triage across 15 frontier AI chatbots GRAVITY: Architecture-Agnostic Structured Anchoring for Long-Horizon Conversational Memory Trojan Hippo Bench: A Dynamic Benchmark for Persistent Memory Attacks and Defenses in LLM Agents SymDrift: One-Shot Generative Modeling under Symmetries Cumulative-Goodness Free-Riding in Forward-Forward Networks: Real, Repairable, but Not Accuracy-Dominant NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training PowerStep: Memory-Efficient Adaptive Optimization via $\ell_p$-Norm Steepest Descent PRISM: A Geometric Risk Bound for Decomposing Drift into Scale, Shape, and Head Missing Old Logits in Asynchronous Agentic RL: Semantic Mismatch and Repair Methods for Off-Policy Correction Generative Support Realignment for Cross-Domain Offline Reinforcement Learning FactorizedHMR: A Hybrid Framework for Video Human Mesh Recovery Edge-AI-Driven Learning-to-Rank for Decentralized Task Allocation in Circular Smart Manufacturing Observation-Aligned Mask Priors for Learning Physical Fields from Authentic Occlusions Agentic Graph Retrieval-Augmented Generation for Auditable Commercial Registry Analysis TwinRouterBench: Fast Static and Live Dynamic Evaluation for Realistic Agentic LLM Routing Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models EvoScene-VLA: Evolving Scene Beliefs Inside the Action Decoder for Chunked Robot Control Decomposing and Measuring Evaluation Awareness Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smart Grids Adaptive Mass-Segmented KV Compression for Long-Context Reasoning AdvantageFlow: Regularized Advantage-Weighted RL in Flow Models Learning to Assign Prediction Tasks to Agents with Capacity Constraints Efficient Pre-Training of LLMs through Truncated SVD Representations Do Proactive Agents Need an LLM to Decide When to Act? Reasoning with Sampling: Cutting at Decision Points Two-Fidelity Best-Action Identification for Stochastic Minimax Tree RobotValues: Evaluating Household Robots When Human Values Conflict Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning HANDOFF: Humanoid Agentic Task-Space Whole-Body Control via Distilled Complementary Teachers Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning UPLOTS: A Unified Pretrained Language Model for Constrained Time-series Generation ActiveSAM: Fast and Accurate Open-Vocabulary Semantic Segmentation with Frozen SAM 3 Guava: Distilling Frontier VLMs into a Compact Agent through a Robotic Manipulation Harness Skill-MAS: Evolving Meta-Skill for Automatic Multi-Agent Systems Temporal Self-Imitation Learning CRAX: Fast Safe Reinforcement Learning Benchmarking Is Agent Code Less Maintainable Than Human Code? Low-power analogue neural networks with trainable nonlinear connections for continuous control Does Anthropomorphic Language Impact Public Perceptions of AI? Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE Weight-Adjusted Gradients Reveal Parameter Importance and Failure Modes in LLMs A Safety-First Gateway Architecture for Trusted Public Health Resource Navigation Distilled Reinforcement Learning for LLM Post-training LOCKS: Page-Local Compact Key Summaries for Efficient Long-Context Decoding Unlocking Spatial Grounding in Large Audio-Visual Retrieval models OneLatent: Latent Reasoning for Efficient Foundation Recommendation Models ORCA-bench: How Ready Are Language Model Agents for Oncall? PAC-MAN: Perception-Aware CBF-RL for Whole-Body Safety in Humanoid Dodgeball Trustworthiness Costs of Domain Adaptation in Small Language Models:A Cross-Architecture Empirical Study Active-SWE: Benchmarking Coding Agents for Proactive Bug Fixing without Issue Reports Multivariate Time Series Forecasting needs Cross Variable Loss SR-OPSD: Self-Referenced On-Policy Self-Distillation Don't Drop the BATON: Long-Horizon Robot Manipulation via Agentic Subtask Exploration and Transition-aware Memory Functional compatibility as a determinant of persistent neural learning On-policy Distillation with Verifiable Reward Homo-RAG: Homology-Guided Retrieval-Augmented Generation for Cross-Species Gene Function Prediction TraceML: What Auto-Research Agents Miss in Long-Horizon ML Development Performative Privacy: When Differential Privacy Maximizes Utility The reach of a verification tool decides its value: A controlled study of verification surface, artifact quality, and cost in AI coding agents The Illusion of Replacement: Rethinking Specialized Machine Learning Models in the Foundation Model Era Flow-JEPA: Robust Latent Dynamics for JEPA World Models via Flow Matching Linguistic Trajectory Encoding for Efficient Long-Horizon Spatial Memory in Embodied Agents SimFuse3D: Source-Guided Target Simulation and Confidence-Guided Multi-Stage Localization Reweighting for Cross-Platform 3D Object Detection Online Surrogate Repair: Decoupling High-Fidelity Feedback from Search Length in Closed-Loop Discovery Kalman Delta Networks: Uncertainty-aware Associative Memory AcFlow: Controlling Text-to-Image Diffusion Transformers via Learned Conditional Activation Flow Break Step: Recursive Training Resonates with Replayed Sampling Noise Label-free steering: Compressing test-time reinforcement learning into bias-only subspaces Decodable but Misrouted: Sparse Features Uncover a Readout Gap in Vision-Language Models for Harmful Meme Detection NeuroECG: ECGFounder-Based Deep ECG Representation for EEG-Free Neurological Prognostication After Cardiac Arrest Workspace Models: Lightweight Robotic Memory via Saliency-Driven Supervision Are Coreset Selection Methods Worth Their Cost? Tail-Weight Control and Localized Generalization in Nearly Low-Rank Adversarial Classification From Semantic Decisions to Feasible Trajectories: Self-Evolving LLM-Guided Optimal Control for Narrow-Space Parking XPhysICS: Cross-Physical-Domain Threat Grounding for Industrial Control Systems Security Temporal-Attention Head Specialization During Video Diffusion Training Video-to-Music Generation for Gameplay Videos TriO: Tri-Modal Unsupervised Occupancy World Model for Anything Perception Affordance-Conditioned Decision Making: Bridging the Semantic-Spatial Gap in Zero-Shot Cross-Floor Vision-and-Language Navigation EyeVQA: Benchmarking Ophthalmic Vision-Language Models from Recognition to Spatial Grounding DRAM: Delta-rule Recurrent Associative Memory for Robot Manipulation Policies Harnessing Coupled Stream Completion For Human-Object Interaction Modeling ASCEND: Personal AI Agents for Autonomous Scientific Computing Across HPC Clusters and GPU Workstations Multimodal LLMs Outperform Pathology Foundation Models in Cross-Domain Histological Similarity Which Self-Improvements Should We Trust? Reliable Self-Improvement When Agents Reuse Their Benchmarks AquaWAM: A Dynamics-aware World Action Model for Underwater Embodied Agents Evaluating System One Models for Agent Security Decisions: Reliability, Calibration, and Selective Automation Diffusion Reward Models Counterfactual Rollout Replay: Forkable Environments as Free Process Rewards for Software Engineering Agents Quantization Error Is Spectrally Flat: A Single Random Probe Is a Calibrated, Data-Free Sensitivity Estimator, with Application to Budget-Targeted Mixed-Precision Quantization GradLev: Token-Parallel Test-Time Training Via Costate Prediction Unified Visual-Tactile-Action Modeling from Human Demonstrations for Dexterous Manipulation LLMs are not stochastic parrots: Evidence for meaning-mediated abstraction from conlang-like tasks Coherence-Aware Distributional Evaluation of Open-Ended Text Generation GenNVS: Geometry-enhanced Novel View Synthesis via Disentangled 3D Prior CoSec: Benchmarking Agent Security in Communities Don't Throw Away the Tail: Action Upcycling for Policy Acceleration Cyclostationary Phase Conditioning for Medical Time Series Diffusion MCP Error Messages Written for Developers Hurt the Most Capable Agents Most From Scores to Samples: Elastic Forcing for Autoregressive Video Generation F4R: Failure-Driven Recognition, Reconstruction, Refinement, and Redeployment for Continual Robot Self-Improvement KV-streams for Efficient Compaction in Agentic Reinforcement Learning TokenCast: Forecasting Token Consumption During LLM Agent ExecutionGithub Trending (Python)
debpalash/VoiceStudio vectorize-io/hindsight 0x4m4/hexstrike-ai ashhart/TensorFold rohitg00/ai-engineering-from-scratch microsoft/SkillOpt alirezarezvani/claude-skills samugit83/redamon practical-tutorials/project-based-learning agent0ai/agent-zero Rizzo-AI-Academy/rizzo-pii mealie-recipes/mealie topoteretes/cogneeGithub Trending (C)
willfaust/Madeira brunodev85/winlator opa334/Dopamine yugabyte/yugabyte-db YuKongA/ghostlock-app reactos/reactos FreeRDP/FreeRDP lyssadev/Spotilol streetpea/chiaki-ng hashcat/hashcat xiaojieonly/Ehviewer_CN_SXJ DarkFlippers/unleashed-firmware arkime/arkime obsproject/obs-studio termux/termux-x11 86Box/86BoxNature
Author Correction: Proteasome-guided haem signalling axis contributes to T cell exhaustion 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 produced AI-powered medical devices must be tested in real-world settings AI can widen science — but only if institutions stop rewarding the already measurable Chinese-owned science journal created to rival the best A new chapter in targeting kinase enzymes in cancer Lab-grown brain organoids: time for international oversight How to put people first in cyberspace Daily briefing: Old hearts ‘de-age’ in younger people China now leads the world in trials for next-gen CAR-T therapies Stephen Hawking biography explores an ‘exceptionally clear, uncluttered mind’ Bigger than CRISPR? A guide to the latest genome editors Vaping in childhood has bigger health risks than we’d thought Old hearts age backwards: transplanted organs adjust to host’s biological age Paid to peer review: firms are paying researchers to assess manuscripts for journals Briefing Chat: Why scientists made papyrus scrolls, then burnt them Why science wouldn’t exist without alchemy, curiosity and great writing: Books in brief Anthropic’s AI biolab finds ‘CRISPR-like’ DNA in viruses. What’s next? Chemists struggle to ditch hazardous solvents — even after decades of ‘green’ efforts Nepal’s floods expose issues with climate-disaster funding — firmer policies are needed fast Exclusive: Sham scientific societies are misleading star researchers OpenAI’s research chief talks of ‘cultural reset’ after wild few weeks AI bots are flooding researchers with requests for money and time Daily briefing: Landmark bat study suggests they evolved in Europe Bumblebees don’t mind a little plastic in their honeypots Youthful fans of YouTube sports videos stick to the sofa GLP-1 drugs fail to help some people lose weight — scientists are on a quest for answers AI system helps lab devices ‘talk’ with each other — streamlining research AI agent hacks government website for first time: why this breach matters Daily briefing: Will AI really be the death of us all? AlphaFold ‘goes viral’: database adds protein complexes of common viruses Author Correction: Large recoverable elastic energy in chiral metamaterials via twist buckling Chiral oxazolidinones via biocatalytic aziridination of unactivated alkenes Bank accounts reveal the fingerprints of abusive financial control Competition heats up in the regenerative-medicine ranks Huge hoard of metal bars hints at vast Iron Age trade The gene-regulatory evolution of the human skeleton The anthropogenic fingerprint on emerging infectious diseases Gravitational torque drives multidecadal variations in length of day Single-nucleus transcriptome-wide association study of human brain disorders Lu+ optical frequency references with accuracy verified at the 19th digit Sequence-encoded hexagonal lattices in multichannel peptide nanofibrils Banking records reveal characteristics of financial abuse Hepatocytes promote liver metastasis of pancreatic cancer by providing serine A design approach for bitopic kinase inhibitors A methanogen hydrolase reveals the structure of archaeal peptidoglycan Reference genomes and fossils revise bat family phylogeny and biogeography mTORC1 drives cell-autonomous astrocyte reactivity in tuberous sclerosis Targeting ZMYND8 unleashes IL-2 signalling to override T cell exhaustion Anomalous metal and superconducting phases in rhombohedral graphene Lifespan single-cell transcriptomic atlas of the human prefrontal cortex Agricultural liming is a carbon sink in the Mississippi River Basin Stacking-induced direct band gap in CVD-grown 1H MoS2 bilayers TRAM promotes Toll-like-receptor-free myddosome signal transduction Lsp2 links mTORC1 to TOP mRNA translation and lifespan in Drosophila Lsp2 links early-life diet to adult translation and lifespan in Drosophila The lipidomic architecture of the mouse brain Single-cell atlas of transcriptomic vulnerability across brain disorders MMEJ repair of breaks at TA repeats maintains ecDNA and cancer fitness A quadruped robot designed to complete a marathon on a single battery charge Neuronal detection of social actions directs collective escape behaviour Organic two-dimensional van der Waals heterostructures The mutational dynamics of the Arabidopsis centromeres Brain lipids are organized into zones — and reorganized during pregnancy Efficient yet stable large perovskite solar modules made using surface treatment Lack of female researchers and participants in regenerative-medicine research holds everyone back Gravitational tug-of-war inside Earth is changing the length of our days There’s a new form of boron — and it’s really weird In praise of human teachers: universities must resist outsourcing everything to AICNN
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 federal law aimed at protecting college students from sexual abuse U.S. Supreme Court sides with Trump administration in third-country deportations Lindsay Clancy's lawyer now questions whether she killed her 3 children Potential Taiwan tension sparked 'last minute' change in Trump-Xi National Archives visit This startup wants to prove gene-editing embryos is safe for making healthy babies This year's MacArthur Fellows include researchers who fuse science and justice Meet the 20 scholars and artists who've just won MacArthur Fellowships Trump weakens fuel efficiency standards. And, Cornell fraternity rape case reopened How to hide your spending habits from retailers (so you don't get ripped off) As the U.S. signals a smaller Middle East footprint, Turkey is ready to step inThe Atlantic
The DOJ’s Collapsing Probe Into a Supposed Anti-Trump Conspiracy Why Do AI Agents Sound So Frustrated? GLP-1s Are Rewriting the Story of Weight Loss and Mental Health Why Did Wallace Shawn Liken Israelis to Nazis? Gaza’s Open Horizon The Case for Sexual Fantasies, According to Gillian Anderson The Atlantic Announces Roles for Zachary Fryer-Biggs, Sophie Haigney, Jebediah Reed, Kevin Roose, Lindsey Sitz, Alex Stockton, and Robert F. Worth The Mysteries of Human Personality Can the Polls Possibly Be Right? ICE Deportees Are Vanishing Into Salvadoran Prisons Taylor Swift’s Audience Is Growing Up. Her Music Is Devolving. Trump’s Latest Appeal to Russia Could Outrage Even His Allies The Art of Dealing With Trump Inside the Biggest Feud in Artificial Intelligence The THAAD Delusion Republican Candidates Are Running From Trump. Will It Work? The Problem With Trump’s New Taxpayer-Funded Ads A $111 Billion Hollywood Takeover With a Murky Future OpenAI Has Gone Rogue Selections From the 2026 Audubon Photography Awards Top 100 One Reason People Are Spending So Much Time Alone How Biden Averted a War With Iran The Problem With Democrats’ Favorite Policy Proposal The Edge of California Is Falling Into the Ocean The Babies Left Behind in AmericaVox
A crisis that goes far beyond Cornell What China wants from AI The next generation of Republican justices will be even more partisan Live auctions are turning shopping into gambling Trump’s taxpayer-funded propaganda blitz Trump’s China reversal Welcome to the October issue of The Highlight Flock cameras are creepy. They might still be worth it. Wait, what are the rules around cellphone etiquette now? This weather threat costs us billions. And it’s about to get worse.Al Jazeera
String of rapes in Delhi triggers social campaign for women’s safety Public workers in France strike over pay as student protests turn violent Trump backs AI self-regulation at tech summit but is it enough? Somali pirates killed five crew members on hijacked tanker, officials say US Senate blocks resolution seeking report on Americans killed in West Bank Protesters block Orange Order march in Northern Ireland King appoints Morocco’s first female prime minister Morocco’s pro-Palestine protests challenge Rabat’s deepening Israel ties Indonesia suspends five officials over luxury apartments for inmates Iran war live: Trump claims war will end ‘very soon’, gives no details Trump says he plans to campaign for 32 days before midterm elections ‘Nothing is justifying this’: Qatar’s PM slams Israel’s atrocities in Gaza Trump, tech bosses sign voluntary pact pledging ‘robust’ AI safeguards Jack Smith defends investigations into Trump during tense US Senate hearing Venezuelan man shot by ICE officer in Texas is charged with assault Iraq begins high-stakes security balancing act as US troops withdraw Man City CEO: Premier League verdict based on ‘conspiracy theory’ UN extends mandate of Gang Suppression Force in Haiti for six months US consumer confidence hits its lowest level since 2014 ahead of midterms US Supreme Court allows Trump to continue third-country deportations Yamal stars as Spain thrash Croatia ‘Netanyahu targets Qatar to deflect from Gaza war crimes’ French students clash with police as protests over education cuts spread What is white phosphorus, and why is Israel using it in Lebanon? Spain protests: Evicted 87-year-old woman to return to Madrid homeArs Technica
Most powerful obesity drug yet: People lost up to 25% of weight in trial Protests against OpenAI get increasingly creative AMD acquires World Labs AI startup, upping the ante against Nvidia Trump ads paid for by US government allegedly violate anti-propaganda laws NASA has a Dragon dilemma, and there appear to be no good answers Here's what actually happened in OpenAI's Australian gov't server hack Apple pressured to explain Trump role in ICE-tracking app removals This study looks at how and with whom connected cars share your data Less protein for maggots means longer lives for fruit flies OpenAI says planned GPT-6.1 is too insecure to release Anthropic’s IPO pitch includes a warning about human extinction Interview: Firefox's chief on why he hopes a redesign will help win users from Chrome Boeing "incredibly excited" to serve as nation's only astronaut transportation Experts worry about Nvidia's AI chip sales in China and influence over Trump SpaceX's Starship goes orbital, deploying first next-gen Starlinks Florida invokes extinction fears in legal bid to halt OpenAI development New device captures carbon dioxide by pumping it across a battery To keep drug prices high, pharma has been piling up the patents Trump cuts fuel economy standards back to 2014 levels Kalshi loses again as judges rule prediction markets must obey gambling lawsSlashdot
Tech Workers Made ChatGPT Drive a Toyota Corolla Firefox Redesign Brings Round Tabs, New Themes, and Compact Mode Microsoft Makes Linux Containers Native On Windows 11 Mistral CEO Says US AI Safety Debate Masks Competitors' 'Negligence' McDonald's Reportedly Using AI to 'Dynamically' Price Its Burgers 500K Facial Recognition Scans at UK Stations Yield Zero Arrests, One False Positive OpenAI Unveils Always-On AI Agent 'Dots' Google Says Chromebook Updates End In 2034, 'Many' Models Move to Googlebook OS California Is Banning Public Officials From Making Memecoins Florida Invokes Extinction Fears In Legal Bid To Halt OpenAI Development El Nino Bursts Through Temperature Record Months Before Peak Microbes Could Survive On Saturn's Moon Enceladus Bananas That Don't Go Brown To Hit Supermarkets Thanks to DNA Editing China Broadens Travel Curbs To Encompass Family of Top AI Talent AMD Acquires Fei-Fei Li's World Labs For $8.2 BillionSmithsonian Magazine
MRI Scans Might Reveal Signs of Alzheimer's Disease Seven Years Before a Telltale Marker Appears in the Brain In One of Rome’s Most Famed and Neglected Villas, Centuries-Old Risqué Frescoes, Painted Over by Nuns, Have Reappeared Japan's Smallest and Least-Populated Major Island Is a World of Pilgrimages, Delicious Food and Plenty of Forest Bathing Anthropic Says Its A.I. Discovered a New Enzyme System That Resembles the Revolutionary Gene-Editing Tool CRISPR The Milwaukee Art Museum Just Returned Two Ceramics Made by Enslaved Potter David Drake to His Descendants 'The Icebergs' Is One of Frederic Edwin Church's Most Spectacular Paintings. For Decades, No One Knew Where It Was Two Heads Are Better Than One: Rare, Double-Headed Turtle Hatchling Discovered on Cape Cod In 1884, Gale-Force Winds Ran a Ship Aground Near Cape Cod. Now, the Nor’easter Lashing the East Coast May Have Uncovered Part of It Centuries Ago, Royals Dressed Up Their Dolls to Share the Latest Fashions. See How Barbies, Baby Dolls and Other Tiny Trendsetters Have Inspired Designers Ever Since This Massive, Deep-Sea Roly Poly Can Go Years Without Food Thanks to a Huge Stomach and a Stolen Gene, Study SuggestsInfoQ
Amazon CloudWatch Omni Extends CloudWatch into the Agent Era Cloudflare Adds Configurable HTTP Vary Header Support to Prevent Cache Thrashing Kubernetes Teams Get a Safer Way to See Their Own GPU Metrics Spring News Roundup: Second Milestone Releases of Boot, Framework, Data, Security, Integration Presentation: From Staff Platform Engineer to a 16z Founder: What I Wish I'd Known Atlassian Rebuilds Metrics Pipeline Around OpenTelemetry at Massive Scale Cloudflare Worker Previews: Per-Branch Environments for Workers Python Workers Reach GA on Cloudflare, with Questions About Cold Starts and Upstream Maintenance Artifactory Vulnerabilities Under Active Exploitation Enable Authentication Bypass and Admin Access Radicle Discloses Critical Flaws Exposing Private Repositories in Plain Text Meta’s ZGateway Cuts ZippyDB Connections 19x While Handling 1B+ Operations per Second Article: Five Ways To Use AI Coding Agents to Improve Your Software Architecture Podcast: The AI Revolution Fails Without Psychological Safety For Developers: A Conversation with Erin Doyle Presentation: From Consumers to Builders: Turning 200 of our Team into Agent Creators in 2 Weeks Uber Separates Scaling Intent From Execution on Kubernetes PlatformDynomight
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
Don’t let AI make you dumber Shipping to America Tuesday assorted links Accounting for Cross-Country Income Differences Revisited The Macroeconomic Effect of AI through software engineering Man’s best friend? Monday assorted links Mighty Sparrow, RIP Defining the Unemployment Rate Bundesrepublik Deutschland AI in science Sunday assorted links Earth fact of the day, #2 The Federal Lands: An Economic Property Rights Perspective What should I ask Terence Tao?Not Boring
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 Skill Weekly Dose of Optimism #201Coding 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
Mathematicians Harness Randomness To Crack a 55-Year-Old Conjecture Gravity Seems Holographic. What Does That Mean for Reality? Biology Might Not Be Quantum, but Its Math Is Quantumlike How Virus-like ‘Jumping Genes’ Became Our Partners in Evolution Mathematicians Build Long-Awaited Graph SandwichScience Daily
The ice blasting from Saturn's moon Enceladus is stranger than scientists realized Earth’s day isn’t exactly 24 hours. The reason may lie deep inside the planet NASA’s Crew-13 could go from Florida to the ISS in under 9 hours Is the universe infinite? The answer gets weird fast This suitcase-sized spacecraft could hear the universe before stars existed Scientists expected these Galápagos sea turtles to wander. They stayed put Blood tests reveal why astronauts get constipated in space Scientists find new virus behind mysterious tick illness Diabetes study finds keeping blood sugar too steady may come at a price Hidden stem cells may be fueling spinal stenosis Scientists just discovered what coffee really does to your gut and brain Glucosamine, a popular joint supplement, linked to faster Alzheimer’s progression Zepbound and Mounjaro may turn on the body’s calorie-burning brown fat Why rheumatoid arthritis pain may persist even when inflammation is under control REM sleep paradox: Dreaming may drain the brain’s energy even as fuel supply rises Scientists were wrong about this strange mammal for nearly 40 years Scientists may have misread a 2-billion-year-old clue about Earth James Webb reveals why planet formation is a race against time Pomegranate compound improves heart function by up to 80% in study 160-million-year-old proteins show surprising power against superbugs That fresh cleaning smell could be filling your home with nanoparticles Scientists found a surprising driver of Alzheimer’s outside the brain 1.7-billion-year-old fossils reveal a crucial clue to the rise of complex life These medieval graves looked like family burials. DNA told a different story New soil test could reveal how soil microbes help feed plants Atrial fibrillation patients saw 69% lower risk with common blood thinners One CRISPR treatment cut “bad” cholesterol in half for a full year CERN has begun disconnecting the Large Hadron Collider Two astronauts who flew farther than anyone before are taking new NASA roles Quantum computer simulates matter “popping into existence” Scientists burned their own scrolls to unlock a 2,000-year-old mystery Scientists discovered two bizarre new sea spiders that are “nightmare fuel” Scientists say house cats could help unlock better cancer treatments for humans Don’t toss cannabis leaves: They may contain rare compounds with medical potential Earth is tearing apart beneath the Pacific Northwest “We found something never seen before” – A dead star is producing a shock wave that shouldn’t exist CRISPR could help doctors attack blood cancer without destroying healthy cells Resetting the body clock could help the brain recover after stroke This “rare” autism-linked genetic disorder may be far more common than scientists thought Quantum computing’s “dark horse” just proved it can go universal The secret to growing food on Mars could be fungi Scientists gave worms magnetic bacteria. They lived 43% longer Ancient meteorites reveal a powerful force that helped build the Solar System ADHD and autism diagnoses have surged. A massive study may help explain why A major risk of breast cancer screening may have been overestimated for decades “We just need to go back” – Uranus’ moon Ariel may have hidden a 100-mile-deep ocean Scientists discover an “impossible” cellular survival pathway that could help fight cancer Scientists find two tiny new snails with shells that close like doors Distant time crystals can somehow fall into the same rhythm Scientists thought they knew how this 70-year-old leukemia drug worked More REM sleep linked to lower risk of 83 diseases When what you see doesn’t make sense, your brain does something remarkable GLP-1 weight loss and diabetes drugs linked to nutritional deficiencies in nearly 1 in 6 children Aging muscles may be losing strength for a reason scientists missed These massive stars could explain Webb’s strangest galaxies Breakthrough drug reverses skin aging and dramatically speeds healing The “big one” might not come alone: Two major West Coast faults may strike back to back Scientists say a critical Atlantic Ocean current is weakening and the effects could be global This emerging treatment could help people avoid knee replacement surgery Why Viking museums still can’t escape the warrior mythSpaceflight Now
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 Coast NASA announces new space telescope ‘PRIMA’ to launch in 2033 SpaceX stack Starship and Super Heavy for first orbital flight SpaceX’s Super Heavy booster arrives at pad ahead of first orbital Starship launch Russian Progress cargo ship arrives at International Space Station SpaceX launches 27 Starlink V2 Mini satellites on Falcon 9 rocket from VandenbergSpace 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. Now it is returning to Earth for another gravitational 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-sentence 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
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 1 Commercial Space Federation (CSF) Welcomes Two New Members Terran Orbital Promotes Margherita Cardi to Vice President of European Operations & Head of Strategic Programs Satrec Initiative to build 10-centimeter-class optical satellites for Hanwha constellation Simera Sense and IDOM partner to develop and produce xScape350 optical system as demand for high-resolution EO imagery surges Inside Europe’s push for space autonomy with Josef Aschbacher Catalyst Campus for Technology and Innovation, in partnership with the BMC3I TAP Lab, Selects Focus Area Cohort Teams for Cohort 26.A Icarus Robotics tests Joy in Canada ahead of ISS flightMartin Fowler
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 LLMs Fragments: July 13 Experiences with local models for codingEmbedded 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
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 Players XILS-lab Launches MemoryTone Software Synthesiser Denon DJ Unveils PRIME 4 G2DJ 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?