nx1.info | News
Last updated: 21/10/2026 03:44:39Google News
Judge Trump called a ‘lunatic’ abruptly backs off demand after showdown with DOJ No. 3 - Fox News Some on DOJ's 20,000 "likely" noncitizen list in Calif. appear to be U.S.-born - NPR US has resumed sharing intelligence with Ukraine about Russian strikes, says Zelenskyy - The Guardian Attack Ad Featuring Candidate’s Mother Turns Ohio Governor’s Race Even Uglier - The New York Times Elon Musk ordered Starlink slowdown for Ukraine: Report - CNBC France is divided over who to blame for and what to learn from weekend riots - BBC Trump launches $25 million whistleblower incentive program; Nick Shirley receives first payout - The Hill Election Dispatches: Vast Sums Flood Races as Republicans Try Fending Off Democratic Charge - The New York Times ‘France should serve as a wakeup call’: Republicans find a closing message in Paris riots - Politico In Texas’ Senate Race, Paxton and Talarico Converge on Key Battleground - The New York Times Nigeria confirms Ebola case as outbreak spreads into western Africa - The Guardian Hegseth Said to Make Unannounced Visit to Israel for Talks With Netanyahu - The New York Times Alberta voters overwhelmingly reject separation process in a victory for Carney - AP News Iran says Saudi Arabia, Houthis have not answered mediation offer - Reuters SpaceX revenue soars 161% as AI business grows - ABC News - Breaking News, Latest News and Videos Netflix Q3 Revenue Meets Wall Street Estimates, Forecasts Q4 Slowdown and Says It Will Miss Ad Sales Target for the Year - Variety Musk says Tesla and SpaceX formed special committees to discuss merger: Live updates - CNBC Ken Griffin Says AI ‘Almost Certainly’ in a Bubble Right Now - Bloomberg.com Google is bringing a more personal version of its Gemini AI assistant to your car - TechCrunch Apple's Touchscreen OLED MacBook Pro: Everything We Know - MacRumors Xbox Game Pass Reportedly Getting 'Major Overhaul,' Will Feature 'À La Carte' Options - IGN PHP maintainers tell Web devs to prepare themselves for critical security patches - Ars Technica ‘You Can See Everything’: Theranos whistleblower says Elizabeth Holmes is ‘still lying’ - Los Angeles Times Grab the Tissues, It’s Dedication Night on ‘Dancing With the Stars’: See the Scores, Who Went Home - The Hollywood Reporter ‘Back at Square One’: Christina Applegate Says Her M.S. Was Misdiagnosed - The New York Times Jenna Dewan Breaks Silence on ‘DWTS’ Drama & Thanks Alan Bersten for ‘Stepping In’ - TV Insider Knicks’ banner night turns sour in loss to LeBron James and the Sixers - The New York Times Ohio State QB Julian Sayin out 'indefinitely' in blow to Buckeyes' CFP, national title hopes - CBS Sports Rays vs. Brewers World Series preview: Who has the edge in matchup of MLB's 2 best teams? - Yahoo Sports NBA championship and MVP odds: Spurs, Thunder tied entering season; Wemby ahead of SGA - ESPN Japan launches spacecraft to mysterious moons of Mars in a bold mission to bring home soil samples - Phys.org The Orionid meteor shower is coming. Here’s how and when to watch - AP News SpaceX launches its 'Starfall' return capsule for 2nd time ever (video) - Space Genetic study shows seafarers from Easter Island settled Hawaii - Honolulu Star-Advertiser How a photo of a person’s face could help predict whether they’ll survive cancer treatment - CNN Pennsylvania warns of rise in congenital measles and infection during pregnancy - NBC News Early flu season, current strain may signal risk for younger people; doctors urge shots - KSL News Hot flashes, night sweats, insomnia – OB-GYNS set new rules for menopause treatment - NPRBBC News
Two men re-arrested on suspicion of assisting Iran intelligence after RAF Fairford incident Zelensky says US intelligence sharing 'works now' after talks with Trump envoy in Oslo UK government to make Jackdaw gas field announcement Tory MP questions government advisor's position after wife's Palestine Action post King praises Strait of Hormuz peace efforts at glittering banquet Elon Musk says Tesla-SpaceX merger being considered France is divided over who to blame for and what to learn from weekend riots Government failings allowed Covid 'to spread like wildfire' in care homes, inquiry finds Schools should recognise antisemitism as distinct form of harm, review says Woman says she 'couldn't speak or breathe' during alleged rape by Russell Brand Tighter rules planned to protect people from cosmetic surgery that goes badly wrong 60 years on: The Aberfan disaster through the eyes of those who survived Ali G is back. But is the character past its sell-by date? I left state secrets on the train - I'm proof you can recover from the biggest mistake of your life Trump and Zelensky appear at loggerheads despite Oslo optimism The Papers: 'Burnham faces climate revolt' and 'Harry wants to fix feud' Watch: Why does Prince Harry want to 'work it out' with his father and brother? No 'protective ring' and visiting rules too strict - key points from Covid report on care homes Sign up now Harry says he wants to 'reconcile' with his family BBC Three, BBC Scotland and Radio 4 Extra broadcast channels to close Where to spot brilliant colours after 'false autumn' spoils some leaf displays Immersive Beatles museum described as 'like Graceland or Dollywood' to open in 2028 Second Labour MP suspended over Covid loan repayments Student who stabbed housemate 30 times admits murder Audit regulator looking into Manchester City accounting Download now How a shattered village rose from unimaginable grief to demand justice The night 'ruthless' Ngumoha came of age for Liverpool No Haaland, no problem - can Foden be Man City's alternative goalscorer? No jeopardy but loads of fun - Champions League sets new goals record Sloppy England start winter with Pakistan defeat Carrick wants more clean sheets to turn season around Allen considers retirement after NI Open exitFinancial Times (World)
China’s nightmare: becoming the next Japan How China is breaking down the west’s battery walls Australian data centre group falls 44% on profit warning SpaceX and Tesla boards explore potential merger Lula fast-tracks Brazil welfare payments days before run-off vote UK to approve development of Jackdaw gasfield in North Sea Finnish president hails progress in talks about ending Russia’s war in Ukraine Joel Kaplan to step down as Meta global affairs chief Can the Democrats win the Senate? Boeing wins approval for Max 10 jet in boost for turnaround efforts Netflix gives downbeat outlook as streaming hits dry up UK bets on a boring budget Trump pledges to spend $400mn on Republican Party midterm campaigns UAE official emerges as late contender to lead UN Two rearrested over RAF Fairford incident on suspicion of helping Iranian intelligence Who are the Black Bloc? France extends curfews in some cities as restrictions quell unrest Merz warns over Berlin plans to seize landlords’ property Britain’s budget should build on its economic resilience Gilt market catches up with peers as investor worries over Budget ease UK jobs market stabilises before Budget Romania forms a government after six months of crisis Alberta voters reject separation from Canada US pending home sales fall to record low as mortgage rates surge Is France spinning out of control?Financial Times (UK)
UK to approve development of Jackdaw gasfield in North Sea UK bets on a boring budget Two rearrested over RAF Fairford incident on suspicion of helping Iranian intelligence Britain’s budget should build on its economic resilience Gilt market catches up with peers as investor worries over Budget ease UK jobs market stabilises before Budget Flutter to cut more than 1,000 jobs after UK gambling tax raid ‘Protect the NHS’ slogan hurt care home residents in pandemic, inquiry finds UK to deploy jets to defend Saudi Arabia against Houthi attacks Restore forces Nigel Farage into an ugly race to his right UK labour market rebounds with stronger employment Angela Rayner’s local council rejects her new planning law Is Andy Burnham’s devolution push an agenda for growth? Farmers look to ‘plough everything’ after failing to receive green subsidies UK Treasury expected to reignite ‘Project Fear’ row with EU study Why the UK government is living on borrowed time Hire more young people or face higher taxes, ex-M&S chief warns bosses Britain’s £100,000 tax trap Obsessed with . . . London-style pizza Law firms and hedge funds restructure to avoid major tax bills after landmark ruling Healey rules out increasing capital gains tax in the Budget The best exhibitions to see in London this weekend North Sea oil producer threatens to stop investing if UK blocks Rosebank oilfield Angel’s Bone — a brilliant, bruising season opener for the beleaguered ENO Swinney tests limits of Burnham’s devolution pitch to ScotlandThe New York Times
SpaceX Swings to a Profit, as A.I. Business Grows Joel Kaplan, Meta’s Global Policy Chief, to Leave After 15 Years Saudis Aided Family of Engineer Accused of Bugging OpenAI, Prosecutors Say Elon Musk Says He Will Give a SpaceX Share to ‘Every Kid in America’ China Criticizes U.S. Ban on DeepSeek A.I. in Government Systems Netflix Is Great at Making Money. Its Problem Is Keeping Viewers Hooked. Boeing’s Large 737 Max Jet Secures U.S. Approval Google Reports Cloud Disruptions in Europe Meta Withdraws $25 Million from Its Midterms Push Why No One Can Look Away From Elizabeth Holmes Ms., Martians and Guacamole: Their First Time in The Times Exhausted Parents Are Turning to A.I. Apps Despite the Risks Tesla Debuts 2026 Roadster ‘Flying’ Electric Sports Car OpenAI Engineer, Who Is Charged With Planting Bug, Advised Saudis Anthropic Says Revenue Jumped 45% to $16.8 Billion in Third Quarter Netflix, Facing Slowing Growth, Cuts 6% of Its Work Force Senators Question Meta’s Data Center Tax Strategy Rogue A.I. Agents from China Chatted with Researchers 22 People Got Together For a Dinner Party. So Did Their A.I. Agents. F.B.I. Arrests OpenAI Employee Accused of Planting Bug in OfficeThe Guardian
Nigeria confirms Ebola case as outbreak spreads into western Africa RFK Jr’s ‘deities of vaccine research’ raided by police in Guinea-Bissau US grants deportation reprieve to migrants from Ukraine and Sudan Kenyan starvation cult leader guilty of murder of 190 children and one adult Drone attack near market kills 80 in Sudan Alberta voters overwhelmingly reject plan to leave Canada in referendum ‘Bad decisions’: Man convicted for taking Peachy the flamingo from Las Vegas hotel Flavio Bolsonaro’s ‘corrupto’ stunt sparks viral meme before Brazil election runoff Giving £2 a day to people in the Amazon helps protect rainforest, pilot project finds Hurricane Trudy menaces Mexico’s Pacific coast and Greece hit by deadly floods China’s economy grows faster than forecast after AI boom boosts exports Three deaths from float crushes raise safety concerns over Japanese festivals Amelia Earhart researchers leave remote atoll empty-handed after ‘plane debris’ found to be a clump of trees No 10 leaves option open to impose Chinese EV tariffs if UK joins EU scheme Museum releases historical photos of island where Amelia Earhart may have crashed Helen Haines live updates: police charge accused Brendan Nugent with additional offences; lawyer says he has rare neurological condition Fast-fashion giant Shein outperforms several Australian retailers on ethics, report says No bail for alleged Helen Haines attacker as police chief warns of Australia’s ‘febrile’ political environment Odds of fifth interest rate hike this year shorten as RBA deputy warns inflation outlook ‘worsening’ ‘I forgot to pay’: Victoria’s premier Ben Carroll drives off without paying for petrol, sparking police inquiries Italy to deploy 500 troops to Milan after days of protests and looting US has resumed sharing intelligence with Ukraine about Russian strikes, says Zelenskyy Nato increases Black Sea deployment amid escalating deadly Russian attacks Ukraine thankful that intelligence on missile strikes ‘works now’, says Zelenskyy – as it happened Republicans push back on Donald Trump’s wavering support for Ukraine UK to deploy fighter jets to protect Saudi Arabia from Houthi attacks Israeli police detain 10 people in rare raid against West Bank settlers Houthi attack kills 53 in biggest single loss of life since Yemen civil war reignited People scour strait of Hormuz for spilt cargo after Iran attacks container ships Cuts force World Food Programme to end support for half a million Palestinians in Gaza Billionaire Mukesh Ambani launches India’s biggest-ever IPO She was harassed for crude remarks about Modi at a Cockroach protest. Now she can’t leave home Myanmar’s ousted leader Aung San Suu Kyi seen in rare photos after receiving gift from King Charles India’s Cockroach Janta party leader arrested amid crackdown on protests Flash floods destroy villages in central Nepal Senior Reform official cast doubt over legality of huge donations Andy Burnham faces climate revolt after approval of North Sea gas drilling Russell Brand told woman to ‘clear up the mess you’ve made’ after alleged rape, court hears Baby who died from meningitis may have been saved if tested sooner, inquest finds ‘I’ll make you famous’: court hears recording of Tommy Robinson threat to Daily Mail editor University of Arizona sorority member alleges sexual assault at fraternity house Trump says he will have spent $400m to support Republicans in midterms – as it happened Mariah Carey wins dismissal of brother’s defamation lawsuit over her memoir Florida kills 77-year-old man in state’s 18th execution of year Alabama governor commutes sentence of prisoner on death rowHacker News
In Hilbert space, all things are quantumly possible The Future of CSS Good type against all odds Learning to live with Waymos The Other Epidemic: Trying to get off benzodiazepines PingCap TiDB Leaks Feds suspect ransom negotiator ran ShinyHunters extortion site Upcoming critical PHP security release Show HN: SimCity, but with Permits What shall I teach my son? Benchmarking Bot Detection Systems Against Modern AI Agents in 2026 Google open-sources TorchTPU, a native PyTorch back end for TPUs Voxtral 3 Sixteen years after Deepwater Horizon, deep sea life shows few signs of recovery IKEA – 3D Guide Ofcom concedes defeat in 4chan case My Friend Bob Cringely eMudhra intermediate CA compromise How I got over 300 Tor exit nodes removed Tsrs: A Port of TypeScript to RustArxiv astro-ph.HE
The evolution of 3C 306 in the galaxy cluster RXCJ1454.4+1622: linking spectral ageing, ICM conditions, and jet dynamics through MHD simulations Modeling Multi-band Active Galactic Nuclei Lightcurves Using an Self-supervised Attentive Neural Process Network Models of spectral bumps of primary cosmic rays and multi-messenger tests Clumpy Outflows from Super-Eddington Accreting Black Holes. II. Conditions for Clump Formation Tidal Disruption Events in Active Galactic Nuclei: Thermal Radiation and Jets Statistical Analysis of Neutron Star Cooling: Implications for the Nuclear Equation of State and Nucleon Pairing Hyperonic Direct-Urca Neutrino Emission with Lattice-QCD-Informed Form Factors Constraints on the Progenitor of SN 2023bee from its Nebular-Phase Spectra Pulse Morphology and Spectral Study of LPT J1634+44 Using GMRT Probing the Interstellar Medium towards the Double Pulsar and the Gum Nebula using Low-Frequency Pulse Broadening Measurements The accretion flow and jet of M87: broadband modelling across spatial scales Detection Forecasting for Blazars at MeV Energies with Fermi-LAT Swift-BAT Cross Match Deep X-ray Observations of the Gamma-ray Bright Pulsar Wind Nebula HESS J1303-631 X-ray Comptonization in an Accreting Kerr Black Hole System with a Tilted Disc and Thermal Corona; A General-Relativistic Monte Carlo Simulation: I. Model, Radiative Transfer and Spectral-Timing Properties Energy extraction from a rotating black hole via magnetic reconnection: Bumblebee gravity Spiraling into the `snail' cluster MCXC J0157.4-0550 Static tidal Love numbers of Schwarzschild and non-Schwarzschild black holes in quadratic gravity Destinies of Plasmoids Formed from the Magnetic Reconnection Occurring within the Ergo Region of a Rotating Black Hole MACE: Multigroup-Multiangle Integrated Thermal Compton Scattering Kernel Moving Beyond Quasinormal Modes and Reinterpreting Direct Waves in Binary Black Hole Merger-Ringdowns Lorentz-Invariance Violation with neutrinos from gamma-ray bursts using IceCube High-Energy Starting Events 12-year dataset Disc breaking and parametric instability in warped accretion discs driven by differential precession Dark Matter Interpretations of the Galactic Center Gamma-Ray Excess with 18 Years of Fermi-LAT Data and the FL16Y Source Catalog A New Bayesian Framework with Mass-Radius-Space Priors to Constrain the Neutron Star Equation of State Effects of Viscosity on Sloshing Cold Fronts in Galaxy Clusters A 4200-hour HyperFlash and \'ECLAT campaign on the hyperactive FRB 20240114A: constraining energetics with the most brilliant bursts Impact of the equation of state on core collapse supernovae I: the low-$T/|W|$ instability Intermediate States in Chaotic Triple Evolution and Applications to Black Hole Merger Statistics Probing an Intermediate-Mass Black Hole Companion of Sagittarius A* with Pulsar Timing The impact of recombination during tidal disruption events A deep learning algorithm for black hole spin estimation using hot-spot secondary images Molecular and Atomic Gas Associated with the Gamma Ray Supernova Remnant RCW 103 The Impact of Errors in the Shape Function of Rotating Neutron Stars in the Oblate Schwarzschild Approximation Re-interpreting the GRS 1915+105 observations within the variable TADAF scenario The Structure in the Structure Function of Black Hole Light Curves Neutrino production at the extreme vicinity of supermassive black hole in NGC 1068 Dark Matter Particle Explorer: Ten-Year On-Orbit Performance and Scientific Outcomes A High Incidence of Mid-infrared Variability in Local Ultraluminous Infrared Galaxies Probing Compact Binary Coalescences in the Decihertz GW Band with IndIGO-D SPLIT: Loosely-coherent inference of long-inspiral gravitational-wave sources for robustness against modeling and data outliers Decoupling Limit of Quiver Theories and the Angular Spectra of Extreme C-metrics Magnetic pressure anisotropy in ultra-dense white dwarfs: Landau quantization and neutronization effectsArxiv cs.LG
Web Agent Agentic Reinforcement Learning Decision Model Under Multi-Cost and Failure Risk PolyGraph: Plan-Buffered CUDA Graphs for Adaptive Speculative Decoding Forecasting Patient Trajectories from the Electronic Health Records with Action-Conditioned World Models SAGE-CP: When Marginal Coverage Hides Route-Conditional Failures in Adaptive VLM Ensembles Announced Breaks Separate Conformal Reliability from Frequency Calibration Zero-Shot Tabular Learning via Hypergraph Reasoning with LLMs Improving Fake Profile Detection Through Multimodal Learning and Research-Guided Feature Integration miniTE: Diagnosing and Bridging the Execution Gap in Native NVFP4 Reinforcement Learning Organizing LLM Inference for Aggregate Predictions from Behavioral Data Factorization-Guided Training and Inference for Diffusion-Drafted Speculative Decoding Beyond Prediction: A Component-Level Study of Concept Recovery in In-Context Learning SECURE-AI: Multi-Signal Uncertainty Quantification for Trustworthy Acoustic Cough Detection Pack and Extract: An Effective Graph-Based Approach for Feature Selection PeekKV: The First Content Token Already Knows Which Heads Matter Fast Construction of Inner Sphere Trees Using Machine Learning A Group-Aware Comparative Study of Classical Machine Learning and Deep Learning Methods for Sensor-Based Human Activity Recognition ReTTT: Reflection-Driven Test-Time Training via Experience-Based Parametric Memory How Data Scales in Agentic Reinforcement Learning: Laws and Synthesis Strategies Parameter misspecification in physics-informed neural networks: A closed-form audit and its limits DS-Net: A Dynamic Split Network for Edge-Cloud Collaborative Inference Compaction-Aware Reinforcement Learning For Ascend Triton Kernel Generation LatLM: Line-Parallel Language Models with Deferred Commitment DISCERN: Identifiable Disease Evidence for Generalizable Medical Multimodal Learning Physics-Aware Self-Supervised Pretraining on Multi-Domain Raman Spectra UltraData-Code: From Raw Repositories to Algorithmically Dense and Task-Oriented Code Data SPADE-KD: Peer-to-Peer Collaborative Learning under Heterogeneous Settings TWIN-MoE: Two-stage Intra-Expert Imputation Network for Incomplete Multimodal Learning Dynamical Kernel Attention: Estimating the Present from a Record of the Past Do Knowledge and Reasoning Oriented Benchmarks Induce Stable Representation Signatures in LLMs? Visual Causal-chain Bookmarking: Retrieval-Weighted Credit Assignment for Reinforcement Learning from Delayed Reward Client-Aware Security Adaptive Early Exit Vision Transformers for Heterogeneous Federated Learning What Remains Without Test Labels? Re-evaluating a Graph-Level Anomaly Detection Benchmark Alliance of Stochastic Routing and Reinforcement Fusion for Multi-Model Reasoning GLOW: General Linear Models Optimized with Ward's Method Looped GNNs Beyond Fixed Depth: Graph Size Generalization and Parameter-Efficient Adaptation Graph-Regularized Synthetic Control for Stable Counterfactual Estimation under Donor Redundancy On the Selectivity of Generative Models in Structure-Based Drug Design Data-Driven Resource Aggregation for Scalable Digital Twin and Simulation Model Generation Inside the Loop: A Mechanistic Study of Weight-Tied Transformers on Depth-Bound Algorithmic Tasks Continual Test-Time Learning with Evolution Strategies Budgeted Bayesian Bandits for Future Utilization Margin Certificates for Voting Classifiers under Mixing Dependence Bootstrap Stochastic Interpolant Tree for Inference-time Search Under Sparse Reward On Reparameterizing the Score Function Hidden Trajectories Don't Lie: Correcting Corruption Drift for Test-Time Adaptation Dynamic Neural Optimal Transport for Subset Alignment Dataset Inference for Data Provenance and Privacy Auditing in Tabular Foundation Models An important Bottleneck in LLM Optimizers: Principle-Level Local Optima Inducing Fourier Geometry: A Smoothness Prior Imposes Approximate Translation Equivariance in Multimodal Stellar Embeddings Constructive Universal Approximation by Infinite-Dimensional Neural Networks via Gaussian-Weighted Ridgelet Transform Predicting CVSS and CWE from CVE Descriptions with Fine-Tuned Small Language Models Torch-DPhys: A Torch-Native, MOOSE-Compatible Framework for Differentiable Physics Simulation and Hybrid Machine Learning Integration Muon Operates Beyond the Edge of Stability Learning Administrative Boundary-Aware Location Encoders via Reverse Geocoding Latent State Utilization in Probabilistic Circuits Morpheus-2.0: Multiscale Probabilistic Forecasting with Dual-Axis Attention PAC Learning with Query Feedback Power-Law Correlations Without Apparent Temperature-Tuned Criticality in Fixed-Tree Hierarchical Languages Uniform convergence at optimal rate and scale The Certification Exponent: Instance-Optimal Sequential Certification of Policy Improvement from History Dependent Logs Measuring the Task Value of Precision Upgrades in Closed-Loop Agents Exact Risk Certificates for Pairwise-Judged Reranking Revisiting Smoothed Online Learning: Competitive Ratio, Dynamic Regret with Switching Cost, and Best of Both Worlds Cross-Dimension and Cross-Modality Relational Tensor Representation Learning for Multimodal Health Data Modeling Transport What Shares the Conduction Pathway: Normal-Anchored SPD Geometric Transport for Source-Free Patient Adaptation of Holter and Patch ECG Transformers as Adaptive Kernel Learners across Tasks for In-Context Learning Near-Optimal Regret for Semi-Bandit Learning of Monotone Stochastic Problems Generative Retrieval for Reverse Target Fishing with a Proteome-Scale Benchmark Measuring Empowerment from Offline Data for Intrinsically Motivated Exploration VBO-MI: A Differentiable Black-Box Optimization Framework via Variational Mutual Information Estimation CoTs remain monitorable when being unfaithful requires computation: Replicating and Extending the Necessity Effect Across Eleven Models TideKV: Delayed KV Eviction via Layer-Wise Chunked Prefill for Memory-Efficient Long-Context LLM Inference HiPPO Functional Memory: Coordinate-Queryable Attention for Irregular Time Series BEM: Learning Bregman Divergences for Concept Erasure in Flow Matching Models What "Form'' of Uncertainty Does Conformal Prediction Quantify? TopoCompile: Molecular Generation with Exact Global Count Constraints ProbePO: Sparse Probes, Redistributed Credit for Critic-Free LLM Reinforcement Learning Structured Latent Dynamics for Long-Horizon Embodied World Models From Score to Diagnosis: Search-Independent Post-Diagnosis for Symbolic Regression A Multi-Step Inertial ADMM Algorithm for Federated Learning Theory-Guided Instance-Dependent Early Stopping via Second-Order Loss Dynamics No-Regret Revenue Maximization in Sequential Market Making Under Inventory Constraints Representations Have Trajectories: Characterizing Temporal Representation Dynamics in Neural Networks DeliMF: Gated Cross-Attention Fusion of Structured Time Series and Clinical Text for Early Intensive Care Delirium Prediction AdamPM: Memory-Efficient LLM Optimization via Moment Pooling TCMScience: An Autonomous Scientist for Traditional Chinese Medicine How Much Do Activation Monitors Benefit from Original Model Computations? Uncovering Semantic Hierarchies in Text-Attributed Graphs via Variational EM-based LLM-GNN Synergy EdgeKernelBench: Unified LLM-Driven Kernel Generation for Edge Backends Contrastive Adversarial Training for Robust Graph Neural Networks under Label Poisoning Native Probability Outputs for Clinical Triage: An Evaluation of Calibration and Decision Accuracy Tensor Network Datamodels for Training Data Attribution fxBench: Evaluating and Understanding Formula Suggestions in Spreadsheets How Does Muon Work in Private Deep Learning? Scalable Differentially Private Training via Orthogonalization Gaussian Process Bandits with Paired Auxiliary Observations From Overparameterised Expressions to Parsimonious Models: Fisher-Geometric Pruning for Symbolic Regression Paired-Outcome Learning for Selective Spacecraft Attitude Capture under Torque Limits Global Convergence in Deep Networks via the Second Law of Thermodynamics Process-Aware Event Log Augmentation for Process Prediction under Labeled Data Scarcity First-Order LoRA Training with Phone NPUs Pair-Aware Optimization: Coordinating Exploration and Refinement for Jailbreaking LLM Agents Compose the Horizon: Parameter-Shared Blockwise Forecasting under a Sequential-Compute Trade-off Recurrent Temporal Restricted Boltzmann Machines as Unsupervised Encoders for Biomechanical Movement Sequences A Statistical Viewpoint on Adam, Shampoo and Muon An Impossibility Result for ETF Target Geometry, and an Equinorm Remedy for Imbalanced Analytic Continual Learning LLM-Based Evaluation Planning for Heterogeneous Optimization FlowMaker: From Tasks to Cost-Efficient Generative AI Workflow Deployments RAFT: Redundancy-Aware Input Filtering for Temporal Graph Neural Network Training Sample-Efficient Reinforcement Learning with General Utilities via Neural Dual Critics Distribution-Based Regularization for Reward Fine-Tuning Diffusion and Flow Models A Symmetry-Matching Approach to Blind-Spot Reduction in Sparse Autoencoders Arctic-SWE: Revisiting the Long Horizon Agent Training by Modeling-System Co-Design CARTA: Self-Supervised Reusable Transaction Embeddings via Heterogeneous Tokenization and Cross-Attention TrustAgent-RFF: Agentic Diagnostic Planning for Reliable RF Fingerprinting under Domain Shift MLFont: Machine Learning-Driven Font Subsetting and Range-Compact Unicode-Range Slicing for Low-Latency Web Typography T-MUON: Tensorizing Muon via t-SVD for Large Language Model Pre-training Robust Direct Preference Optimization under Preference Label-Flip Attacks ControlJEPA: Principled Trajectory Regularization via Lyapunov Tube Loss CasePlay: Self-Play Reinforcement Learning from Case Reports for Medical Reasoning Label-Space Mismatch Distorts Cross-Cohort Evaluation in Breast Cancer Molecular Subtyping PRECOCIAL: Pretraining with Code Curriculums via Iterative Search for Accelerated Learning Certified Sparse Attention via Perturbed Retrieval Block Recursive Transformers for Structured Parameter Sharing UtoMe: Observation-Uncertainty-Guided Token Merging for Weather Foundation Models UpLoop: Upcycling Large Language Models with Gated Loop Conjugate Compilation: Self-Improving Agentic Co-Compilation for Speculative Decoding Latent World Models Should Plan with Distances Along the Latent Manifold Multifidelity Monte Carlo Estimator for High-Dimensional Quantities of Interest Decentralized Online Exp-Concave Optimization LLM Agents as Suppliers of Physical System Models: Calibration and Acceptance in Modelica Synergy-Aware Residual Flow Matching for Single-Cell Perturbation Prediction Beyond the Teacher: Understanding and Preserving Distillation Overshoot in Agentic On-Policy Distillation PACT: NVFP4 Data-Flow LoRA Fine-Tuning on Consumer GPUs HCFM: Helmholtz Component Flow Matching for Time Series Anomaly Detection Policy Is Not Capability: Some Safety Benchmarks Measure Which Definition of "Unsafe" You Trained On The Optimal Sample Complexity of Pointwise Replicable Agnostic Learning Auto-MD-bench: Evaluating Autoresearch Agents for Real-World Medical Tasks CoEvo-RSI: When Harnesses Evolve, Which Models Should Follow? Conformal Prediction-Enabled Sequence-level Policy Optimization for Reasoning Language Models Self-organizing reinforcement learning: a swarm approaches the explore-exploit optimum Polynomial Learning of Positive ReLU Networks under Gaussian Inputs Memory as Belief: Bayesian Evolution of Memory for Self-Evolving LLM Agents ClinSDT: LLM-Encoded Clinical Semantic Guidance for Sepsis Treatment via Decision Transformer Trackable Skill Library Lifecycle Management for Agentic Reinforcement Learning FHKAN: Fractional Hermite Kolmogorov-Arnold Networks for Data-Driven and Physics-Informed Learning Learning without Overwriting: Structural Knowledge Fusion for Continual Learning Indistinguishable Agents: Training Agent Privacy as Twin-World Indistinguishability M-JEPA: Predictive Self-Supervised Learning for Molecular Graphs with Scaffold-Shift Evaluation on Tox21 World Models, Trees and Foundation Models for Retail Forecasting: Evidence from Four Public Data Sets Sampling and Curvature in First-Exit Comparisons for Momentum SGD Shallow Probes Are Sufficient for Near-Oracle Personalization Depth Allocation in Federated Learning ViCoR: Estimating Visual Necessity via Counterfactual Residuals for Multimodal Medical Data Selection NeuroAct: Advancing EEG Analysis and Decoding via Dual-Loop Autonomous Research DROD: Dual-Ratio Ordered Dropout for Federated Continual Learning on Heterogeneous Devices Improving the Expressive Power of Hybrid Sequence Models via Multi-Hop Retrieval BatchParScale: Sparse Batch-Mixing for Sequence Models Emergent Sparsity: How Many Effective Variables Survive Coarse-Graining in AlphaEarth Embeddings? EasyResearch: Honest Regression, Forecasting and Signal Classification for Researchers Who Do Not Program EG-GRPO: Evidence-Guided Step-level Credit Assignment for Deep Search Agents Data-driven forecasting of tropical cloud forest phenology: A dynamical systems and machine learning hybrid approach A discrete-continuous-time stochastic framework for attention-deficit/hyperactivity disorder-related symptom modeling and pharmacological intervention via methylphenidate World Model Interpretability: From Decoding Representations to Understanding Latent Worlds Learning When to Abort in Transformer Planning: A Mechanistic Study Where Groups Split: A Probe Prior for Nonzero Within-Group Variance in RL Post-Training Follow the Mixed Groups: Ridge-Tracking Gaussian Sampling for Zero-Variance Web Rollouts A Distribution-Free Separation Between Learned and Fixed Features Predicted Class Correction: Conformal Thresholds for Classes with No Calibration Data CHSM8: A Chess Transformer that Follows Natural-Language Style Prompts CD-OPD: Contextual Digest for On-Policy Distillation Operator-Mismatch Contrastive Learning for World-Relative Trajectory Coherence Multi-site Learning for Forecasting Day-Ahead Wind-Power Production for Onshore Wind Farms in Great Britain with Deep Neural Networks Mining the Self-Rewriting System: A Vision for Data Mining on AI-Native Infrastructure Simulating Infant Senses with Age-Tuned Networks Structured Relevance Determination and Channel Additive Gaussian Processes for Image Data The Hidden Look-Ahead: Point-in-Time Leakage in Electricity Market Data Paloma: Phase-Conditioned Residual Modulation for Time Series Forecasting MOSAIC: Multi-Objective Search for Allocating Inference Cache Across LLM Decoder Layers Enhanced Masked Diffusion Unlearning Semi-supervised learning on singular data sets Near-Optimal Last-Iterate Convergence of SGD in the Smooth Interpolation Regime Consistent LLM Call Handling Across Java Frameworks: A Reference Implementation and Benchmark Probabilistic Limit Order Book Forecasting with Conditional Diffusion Models Steered Not Stirred: Effective Reward Tilting using Surrogate Reward Mixing KPI-Aware Multimodal Anomaly Detection for 5G and Open RAN Telemetry Dynamics-Aligned Representation Learning under Induced Partial Observability ATEST: Adaptive Resource-Aware Test-Time Scaling for LLM Inference FracTS: Hierarchical and Autoregressive Time Series Generation Reinforcement learning on the EPRI AI-ccelerating Unit Commitment benchmark: diagnosing over-commitment and guiding MILP with learned policies Beyond the record: evaluating probabilistic AI weather forecasts deep in the tail FTFM: Factorized Tabular Foundation Models Benchmark for Structured Retrieval-Augmented Generation in Perovskite Photovoltaics Finite Interaction Lens: Structured Precision Sharing for Vision-Language Models CVTA: Cross-Variable Temporal Attention for Multivariate Irregular Time Series Prediction Divergence based Ranked Preference Alignment for LLMs Distributionally-Robust Policy Learning with Observational Data Text Dominance in Paralinguistic Conflict: Tracing Suppression Through Audio LLM Circuits Adversarial Post-Training of Foundation Models for High-Frequency Trading PRISM: Prior Relational Information for Self-supervised Modeling to Enhance Solubility OOD Generalization Safety Offset Learning: When Benign Fine-Tuning Misaligns LLMs Curriculum Learning Teaches LLMs Long-Horizon Implicit Reasoning, Up To A Limit Weighted State Souping for Efficient Long-Context Retrieval Zephyrus-R1: Agentic Reinforcement Learning for Weather Reporting Conditional Average Treatment Effect Distillation for Hypothetical State-Intervention Targeting Under Budget Constraints OPDArena: Understanding Learning and Forgetting in On-Policy Distillation A "feature ODE" describing the learning behavior of shallow MLPs on simple functions Can Metadata Fix the Gauge? Calibration Turns Sparse Multi-Source Learning from Sparse PCA into Sparse Mean Recovery LOOP: Recovery-Aligned Iterative Layer Pruning via On-Policy Distillation MT-CC: Multi-Group Temperature Scaling for Asymmetric Calibration Behavior in Class-Incremental Learning Progress-Guided Preference Generation for Aligning Generative Control Policies Stochastic Tracking of Drifting Affine Fixed Points Predictive Bandit Curriculum Reinforcement Learning via Gradient-Based Sample Group Discovery Evidence Sufficiency and Model Comparisons in MexRegQA: An Item-Level Audit of Mexican-Spanish Regulatory QA Learning to Couple: Context-Adaptive Joint Denoising for Diffusion Language Models Anatomy of Off-Policy Policy Gradient: Importance Sampling, KL Regularization, and Baselines Neural Video Coding under Limited Delay: Theoretical Optimality and System Design How Much Does One Wrong Answer Cost? Error Propagation in Constraint Pruning with Noisy LLM Oracles Bayesian Model Discovery with Language Models: Closing the Loop between Hypotheses and Experiments Cognitively Decoupled Meta-Induction for Out-of-Distribution Generalization NADS: Navigator-Guided Data Selection for Mitigating Catastrophic Forgetting in Fine-Tuning Which Answers Agree? Evaluating Self-Consistency from Incomplete Logs Remember Less, Adapt Longer: Bounded-State In-Context Reinforcement Learning with Recurrent Summary Memory Computation, Not Memory: Chain-of-Thought and State Tracking in LLM Agents Detection Augmented Learning In Non-Stationary Bandit Environments Sector-Ring Linear Reservoirs: Sector-Wise Decay-Timescale Allocation With State Reuse Across Candidate Settings Communication-Efficient Federated Domain Generalization in Edge Networks via Dynamic Prototype Regulation Is it RL or Data? A Controlled Comparison of GRPO and Rejection-Sampling Fine-Tuning SWIFT: Self-guided Weak-to-strong dIFfusion models via Target extrapolation ACE-Trader: Adversarial Co-Evolution for Generator-Critic Trading Systems Rubrics Beyond Evaluation: Exploiting Rubric Structure in Reinforcement Learning Statistical Learning Theory for Direct Preference Optimization Adaptive Decoding Methods for Token-Efficient Reinforcement Learning Residual-Guided Adaptive Tucker Rank Allocation for Parameter-Efficient MCI Conversion Prediction DeltaTrace: Efficient Signed Attribution for Reasoning Language Models Asynchronous On-Policy Self-Distillation Learn the Interface, Not the Implementation: Output Representation Dominates Training Regime in LLM-Based RTL Generation Out-of-Distribution Detection in Continual Learning An Analysis of Semantic and Spatio-Temporal Co-evolution for Edge Classification on Dynamic Text-Attributed Graphs Maestro: Agentic Formal Proof Development by Coordination UtilityBench: Measuring Language Model Utility When Errors Have Different Costs Keep the Lineages Alive: Diversity-Preserving SMC for Diffusion LLM Decoding The KV-Surgeon: Compensation-Aware Offline KV-Cache Compaction Correctness-Dependent Asymmetric Target Distributions for Self-Distillation Policy Optimization Graph-to-Table Interfaces Control Relational Generalisation PnP-CF: A Consensus Flow-Matching Solver for General Inverse Problems Scenario Generalization and Sector Transfer in Real Surface Irrigation Surrogate Modelling with Tabular Models ProtGlycanDock: Towards Accurate Protein-Glycan Docking with Tailored Dataset, Benchmark and Model Truncate or Not? A Scaling Study of Looped Transformers with Truncated Backpropagation FinHopper: A Progressive Multi-Hop Benchmark for Complex Financial Agents with Step-wise Evaluation Provable Adversarial Detection: Prime Quantization meets Gromov--Wasserstein Learning from a Bandit Learner Declarative Explanations for Graph Neural Networks: A Demonstration From Retrieval to Recognition:Knowledge-Enhanced Post-training of Time Series Foundation Models for Classification Variance-Aware Non-Stationary Bandits:All-Budget Regret Bounds and Adaptation Costs Optimal Multi-Kernel Combination for Online Multi-Label Classification Nash-MOPD: Optimizing Task Trade-offs in Multi-Teacher On-Policy Distillation Dynamical Batching: How Class-Cycling Training Shapes the Internal Structure of Neural Networks TaQFormer: A Treatment-as-Query Transformer with Data-Fusion for Multidimensional Treatment Modeling in Coupon Allocation OceanTensorCube and ST-MMT: A Multimodal Data and Transformer System for Seven-Day Forecasting of Pyropia Bleaching SEAM: Spectral Embedding Alignment and Merging for Low-Resource TTS Trust Your Targets: Is Target Propagation Block-Diagonal Gauss-Newton? Learning SOCP Solver Dynamics with Graph Neural Networks Toward Online Robust Zero-Sum Markov Games with Function Approximation CAST: Cast-Admissible Generative Design and Shape Optimization with Paired Depth Images Typed Decision Models under Prevalence Shift: Decision Training, Calibration, and Implicit Priors CIS-Transolver: A Cross-Layer Incremental-State Neural Operator for Fine-Scale Automotive Aerodynamic Flow Prediction Logit Averaging During Training Sets a New State of the Art for Non-Invasive Speech BCI An Empirical Study of Parameter-Efficient Fine-Tuning for Mixture-of-Experts LLMs CTLite: Lightweight Irregular Multivariate Time Series Forecasting with Reusable Continuous-Time Summaries A Simple and General Approach to top-$k$ Selection Rethinking LLM Fine-Tuning via Weight Space Reparameterization: Preserving Safety during Downstream Adaptation On Learning Expand-and-Sparsify Representations A Simple and Unified Method for Gradient-Variation Regret Wet-Biased Data Pipelines Mislead the Training and Evaluation of Generative Precipitation Nowcasting Strength Controls Change How Interventions Compare Across Sparse Autoencoder Codes A Fisher-Geometric View of Multi-Teacher On-Policy Distillation Concerns in Benchmarking Jailbreaks: An Empirical Study of Attack Success Rates Bombadil: A Foundation Model for Plant Electrophysiology ITU-DESC: a missingness-aware machine-learning dementia risk score in the UK Biobank cohort Degree Bounds for Separating Polynomial and Neural Invariants for Point Clouds Global Time-Aware Conditioning (GTC): A Mechanism for Time-Aware Pediatric Sleep Representation Learning SleepPairNet: Learning Multimodal Pediatric Sleep Representations with Random-Pair Cross-Attention VaDar: Implicit Goal Conditioning via Value Disaggregation The Effectiveness and Durability of Pretraining Data Filtering in Protein Language Models Nested Shared-Operator Recursion on ARC-AGI-1: An Empirical Study of HRM, TRM and URM PACT: Plan-Augmented Coordination via Trace-Graphs for Dynamic Multi-Agent Combinatorial Optimization Which Model for Which Role? Cost-Efficient Pareto Recommendation for LLM Agentic Workflows Intra-Rubric Reward Divergence: Mitigating Rubric Hacking through Latent Dimension Recovery and Balancing Parallel Language Models via Variational Decoding GeoSplit: Selective Edge--Server Map Acquisition for Cross-User Travel-Mode Recognition Doubly Robust Learning of Heterogeneous Survival Treatment Effects under Time-Varying Treatments Deep Pontryagin Learning for Continuous-Time Stochastic Control with Jumps Copying Under Repetition: From Prefix Matching to Position Hashing Cross-Fitting for Neural Posterior Estimation CAVA: Complementary-Label-Aware Data Valuation recAMPLIFY: Large-Scale Pretraining of Recursive Protein Language Models Trajectory Replay: Continuous-Time Mixture Transport for Lifelong Generative Models Simulation Priors for Rapid Adaptation in Model-Based RL for Autonomous Racing HarnessPro: Recursive Harness Self-Improvement with Pareto Optimization for Performance-Cost Trade-offs Topological Sheaves of Irreducibility: A Theoretical Framework for Multi-Agent Task Obstructions Training with ML-labeled Data via Stochastic First- and Zeroth-Order Optimization On Data Scaling in Tabular ML: More Data, Better Generalization? Two hidden layer suffice: the caterpillar net Learning to Refer: Inference-Time Collaboration in Decentralized Federated Learning Scaling Parameter-Efficient Fine-Tuning for Brain Encoding Next Best Action: Causal Constrained Offline RL for Business Action Targeting Kronecker Delta Rule for Long Context Linear Attention WeAct: Dynamic Weight Switching as Agent Actions Text-to-Image Generative Modeling Without Language Pretraining Measuring the Influence of Modality-Specific Node Representations on Graphs Composable Parametric Demographic Injection for Values Survey Simulation DUET: Decoupled Upper- and Lower-Body Execution for Task-Agnostic Humanoid Loco-Manipulation Language-Forcing: Advancing Humanoid Loco-Manipulation via Semantic Alignment of Whole-Body World Action Models InJePA: Intention-First Latent Planning with Coupled JEPA World Models for Visual Navigation EAGLE: Entropy-Aware Geometric Learning Enhancer for Partially Polygon-Supervised Object Localization Rethinking weakly supervised localization on chest radiographs: position nulls, protocol dependence, and PACE Your Self-Supervised Projection Head Captures Object Co-Occurrence Statistics Vocabulary-Incomplete Unsupervised Vision-Language Model Adaptation VERDICT: Visual Extraction-Result Decoder with Integrated Confidence and Traceable Evidence Same Space or Not: Benchmarking Spatial Intelligence Through Cross-View Contradictions A Controlled LLM Workflow for Evidence-Grounded Diagnosis of Risk Score Differences Geo-vision: Native-Resolution Geometry and Sampled Topology for Vehicle-Part Damage Classification IMPULSE: Push First, Then Predict in V-JEPA 2 Feature Space Spatio-Temporal Detection of Photovoltaic Systems on Industrial Building Rooftops Using Satellite Imagery and Machine Learning Super-resolution as Spatial Downscaling: Coherence, Structure and Task Utility in Earth Observation FrameScout: Scouting Query-Relevant Frames for Long Video Understanding LLM Evolutionary Search Strategies Should be Compared by Tokens SPELUNKA: A Framework for Finding Unanticipated Associations in Vision-Language Models Weakly Supervised Discovery of Motion Styles for Compositional Robot Control Unified Multiparadigm Fusion Intelligence for Rare Disease Diagnosis When Does Evidence-Graph Structure Predict Answer Correctness? Label-Free Abstention for Structured Retrieval ToolRosetta: Surface-Form Invariance of Tool-Call Guards OrTeN: Neural Inverse Graphics for Joint Terrain and Line-scan Camera Trajectory Reconstruction Location, Location, Generation: Where You Ask Matters for Generative Engine Optimization Interpretability of AI weather models via intermediate decoding Do LMs Know What Variables Do? Interpreting Code Representations via Variable Roles Prefix-Tuning for Arbitrary Output Sequences on Pretrained Transformers Recording-Aware Evaluation of Multimodal OT Intrusion Detection Reducing double-dipping in single-cell topic models with three-way count splitting The Weight of Teamwork: Does Communication Structure Help LLM Scientists Search for Scientific Laws? Sequence-to-Sequence Neural Surrogate Modeling of Transient Responses in High-Speed Links with Variable Design Parameters lepidoptera: A Domain-Agnostic Engine for Causal Simulation with Mixed Variable Types, Vine Copula Dependence, and Individual-Level Counterfactual Propagation Candidate-dependent residual routing trades top-of-list accuracy for recall in sequential recommendation Certified neural approximations for parabolic obstacle problems Training-Free Prompt Selection for Efficient Reinforcement Learning With Partial Rollouts Censored Flow Matching for Synthetic Time-to-Event Generation Preserving Reasoning Diversity in Reinforcement Learning with Verifiable Rewards via Adaptive Replay Encoder-Free Multimodal LLMs Learn Implicit Encoders Extending Myerson's Optimal Auctions to Correlated Bidders via Neural Network Interpolation CoCoNet: Convex Conformal Network for Multi-Dimensional Uncertainty Regions Can This LLM Annotate My Data? Estimating Zero-Shot LLM Performance Cortex: A Fixed-Point Theory of Governed Coding Agents - Technical Report BanglaShield: A Script-Robust Safety Classifier and Benchmark for Bangla Native, Romanized, and Code-Mixed Prompts RATION: Towards Quantitative Risk-Based Access Control for AI Agents What Matters for NVFP4 Training? A Comparative Study of Low-Precision Pretraining Recipes Blackbox Performance Analysis of LLM-based Network Control Can Agents Keep Secrets They Were Never Told? Benchmarking Latent Privacy Risks Across Sessions with MemJoin Learning from the Right Regions: Class-Conditioned Explanation Guidance for Medical Imaging A decomposition-integration framework coupling singular spectrum analysis with a volatility-adaptive LSTM for stock price forecasting Learning volatility-adaptive forgetting via GARCH-modulated LSTM for stock price forecasting MSCR: Jointly Balancing Utilization Across Modalities and Discovering Synergistic Information Prototype-Guided Optimization of Quantum Data Embeddings with Linear Cost Margin-Based Generalization for Quantum Machine Learning with Classical Data Encoding Private Evaluation of High-Dimensional Functions Write Once, Check Many: Reusable Ledgers for Post-Hoc Policy Compliance Auditing of Agent Trajectories Denoising Implicit Variational Inference Reconstruction of Unobserved Core Electron Density in Tokamak Plasmas with a Neural Operator Transport Surrogate and Uncertainty Quantification Rethinking EEG Spatial Super-Resolution as Dynamic State Decomposition and Filtering Contrastive Hypergraph Source-free Domain Adaptive Object Detection in Adverse Weather Conditions--Extended Version Write Once, Query Many: Evolving Compact Reusable Memory for Long Videos Accelerating Finite-Sum Bilevel Optimization with Fully First-Order Oracles From Stories to Features: Scaling Concept Vectors for AI Alignment & Interpretability ASR Personalization in Pathological Voice: Accuracy, Efficiency, and Duration Effects Conditional Weight of Evidence for Gradient-Boosted Credit Models: Estimation, Additivity and Its Relation to Adverse Action Reasons Training with Ciphers to Enhance In-Context Terminology Learning For Translation from Rare Languages Severity-Channel Conditioning: An Injection-Level Study for Consumer-Device Deblurring Modeling Uncertainty Propagation in 3D Morphable Models Good Judgment, Bad Advice: Decision-Model Controllers Raise Agent Cost Without Improving Success Lightweight Machine Learning for Classifying Disaster-Related Social Media Posts Can AI agents make law? Evaluating AI legal relevance and creativity What RL Brings to Reasoning: A Few Decisions the Base Model Would Not Make Knowledge Diversion: A Novel Paradigm for Pre-training Decomposable Image Generation Models MM-LeJEPA: Correlated Gaussian Regularization for Multimodal Joint-Embedding Predictive Architectures Geometry-Aware Interpolation for Inverse Problems Spherical Physics-informed Neural Operator with Multi-scale Coupling for Meteorological Downscaling When Do Repetition Loops Lock? Truncation Sampling, Bounded Penalties, and a Blind Spot in DRY Evidence Field: Adaptive Covering Programs for Medical Imaging Martingale Posterior Cox Processes Who Gets Unmasked? Sampler-Induced Bias in Diffusion Language Models Is User Calibration Still Necessary for Continuous Myoelectric Control? A Closed-Loop Comparison of Calibration-Free Controllers Tilted Mondrian: Triage and Mitigation of Fine-grained Disparities in Conformal Prediction Efficiency Measured in English: Tokeniser Coverage Bounds Small Language Models on Indic Scripts Bellman Language Models: Solving the Recurring Decisions of LLM Agents The Missing Compliance Class: LLM Graders That Collapse Jailbreak Success, and a Free Check Measuring Data Diversity with Embeddings: A Taxonomy and Benchmark for Diversity Measures Query-Dependent Reading for Quantized Inner-Product Estimation: A Minimax Separation Scalable and Adaptive Distribution Regression via Random Features LastWords: Boring Problems Revisited ATLAS: Expert-Guided Sustainable Satellite Backhaul for Off-Grid Wildlife Monitoring DF-PALM: Dynamic Fusion Prompt Learning for Audio--Language Models Means-Ends Analysis Helps LLMs Plan in Continuous-State Domains LowNet: Looped Wavelet Neural Networks with 24 Learnable Parameters for Solving Poisson Equations Over-Defense in Coding Agents Begins at Silent Forks Revealing what benchmark scores hide: Jointly measuring the breadth and reliability of LLM capabilities using accessibility profiles SoK: PIAtlas: Decomposing the Unbounded Prompt Injection Attack Space No Escape from the Quadratic Barrier: Adaptive Attacks on Linear $\ell_2$ Sketches Integrable building blocks for symplectic neural networks: learned-type layers, fiber-preserving layers, and what a single layer can do Normalizing Flow for Neural-Enhanced Track-Before-Detect Non-Acceleration of the Heavy-Ball Method in 1D Compile Once, Run Cheap: Frozen, Portable Skills for Embodied Agents, and What Recursive Self-Improvement Adds Decision-Target Reversal under Informative Label Missingness Many Repairs, One Direction: Steering Code Models Toward Safer Cryptographic API Use TIRE: Top-Down Formula Instantiation with Reliable Execution for Physics Problem Synthesis HullProbe: Measuring Interventional Part Reliance in Maritime Vessel Classifiers Spectral Adaptive Graph Transformer for Efficient and Scalable Traffic Forecasting An Information-Geometric Framework for OCS-Reconfigurable Interconnect Topology in Large-Scale AI Clusters Dialogue Generation for Conversational Recommendation Using User Search Interactions and Knowledge Graphs ChronoChart: Setup-Agnostic Channel Charting for Label-Free Indoor Localization RAIL-5G: A Challenging Real-World Dataset and Benchmark for AI-Based 5G Indoor Localization Calibration-Free Early Stopping for Chain-of-Thought Reasoning via E-processes LiftDiff: Guided Discrete Diffusion for Quantum Code Construction Assessing the Empirical Evidence for Loss of Control from Agentic General-Purpose AI Estimating Causal Bounds from Observational Data With Neural Generative Models Persistent Representational Misalignment Induces Vision-Language Model Failures Federated Learning for Malware Image Classification under Data Heterogeneity Bridging Concepts: Multi-Agent Reasoning over Scientific Concept Graphs for High-Impact Research Prediction The Explainability Illusion: Must ViTs Exhibit Patch-Decoding Interpretability? Where and Why Search-Augmented LLMs Fail When Reasoning over Rapidly Evolving Knowledge Formally Verified Autoresearch for Analyzing the Expressivity of Multi-Head Attention GreenNIDS: A Benchmark Workflow and Analysis Dataset for NetFlow Intrusion Detection Experiments Whistle and Wrong Lyrics: Synthetic Queries Are Not Enough for Real-World Query-by-Melody TILDE: Teacher-in-the-Loop Distillation from Embodied Foundation Models Outcome-Anchored Credit Reallocation for Agentic Knowledge Graph Question Answering RARE: Reinforcement Learning with Adaptive Rubric Evolution for Open-Ended Generation BiDex-100: A Comprehensive Benchmark for Bimanual Dexterous Manipulation Across 100+ Simulation Tasks Reliability-Preserving Compression for Deployable Medical Image Segmentation On Reasoning Correctness Directions From Seeing to Reporting: A Theory of Reliable Visual Set Generation in Vision-Language Models Breaking the 1/3 Barrier for Approximate Nash Equilibria in Symmetric Bimatrix Games From Clinical Risk Prediction to Operational Decisions: An Uncertainty-Aware Framework for ICU Staffing Narrow Decision Models: A System-1 Architecture for Calibrated, Typed Decisions Concurrent two-scale topology optimization of printable bone scaffolds via rectified-flow generation and exact latent-space refinement Cognitive Map in Large Language Models CheXFuse: Guided Differential Joint Attention Fusion for Robust Multimodal Chest X-Ray Classification in Data-Scarce Medical Settings Clean Forcing: Drift-Resistant Autoregressive Video Diffusion with a Frozen Base Uncertainty-Gated SHAP-Dirichlet Refinement for MRI-Based Depression Classification Sampling of Signals on Multigraphs: From Removable and Uniqueness sets to Spectral Proxies Spherical Fixed-Point Reasoners: Adaptive Loop Halting on the Hypersphere Consistency Training Suppresses Cue Following Without Teaching Cue Selectivity Knowledge Manifold Optimization for Scientific Discovery Arbitrage-Free Implied Volatility Surface Reconstruction via Additive Martingales Corrected Block Sparse Spectral Optimization: Exact Models, Finite Identification, and Local Dynamics A Calibrated Instrument for Detecting Disposition Drift in Language Models Fundamental Limits of Information-Theoretic Secure Aggregation with User Dropouts in Federated Learning SAR: Learning Global Item-Space Matching and Geometry-Aware Placement Ranking for Buffered Online 3D Bin Packing Fair Regression under Approximate Demographic Parity Diffusion Language Models Change Speed Across Tasks and Languages Measurement Validity and Representation Dynamics of Confidence Signals in Large Language Models Are Self-Evolving Agents Continual Learners? CODA: Cohort- and Drift-aware Foundation Model for Multimodal Clinical Reasoning Learning to Reason Efficiently with Interventional Step Credit Motor compound fault diagnosis using an attention-based cross-talk architecture EvoSkill v2: Fully Agentic Skill Evolution from Benchmark Adaptation to a Stateful Evolver MITRA-lexicon: Lexica of attested translations from Sanskrit into English, Tibetan and Chinese OrderGPT: Generation Order as a Learnable Modeling Choice Productive State-Space Exploration for Multi-turn RL in LLM Agents NIOCIS: Typed-Decision Next-Hop Routing with Node-Conditioned Option Spaces for Tool-Use Agents Federated Community Detection in Bipartite Networks Internalizing Chain-of-thought into Looped Transformers TempoMoE: Identifying and Steering Fast-Slow Thinking Experts for Efficient Multimodal Reasoning SPLASH: Contrastive Audit Pressure for Detecting and Localizing Security Hallucinations in Generated Code Towards instance-dependent regret optimality in Episodic MDPs with Posterior Sampling LeakBench: Auditing Reward Hacking through Prediction-Time Leakage in Clinical Modeling Agents Multilingual Voicemail and Answering Machine Detection via Pretrained Audio Embeddings and Gradient Boosting Machines Reinforcement Learning Controllers for Fusion Scenario Development FLMNet: Self-Ensemble Distillation from Masks to Seeds for Single-Tower CTR Prediction Physics-Driven Framework for QoS-Constrained Satellite System with Non-Linear PA Distortion RECAP: Reciprocal Sparse Attention and Hierarchical Caching for Efficient Video Diffusion A Pitfall in the Evaluation of Gene Perturbation Models TriScore: Post-Hoc Out-of-Distribution Detection with Energy, Boundary Probes, and Transform Consistency The Control Layer Behind Rule-Following Agents Trading Across Market Conditions PhyPro-FM: A Physics and Prompt-Guided Graph Foundation Model for Contingency Analysis Selecting the Best Few with Human Evaluators: Adaptively Combining Ratings and Pairwise Comparisons ForagerSim: Evaluating Embodied Map-Based Reasoning in Large-Scale Dynamic Worlds LaMER: Language-Conditioned Multi-Expert Routing for Weakly Supervised Referring Expression Comprehension Co-Evolving Policy and Reward for Code Generation: A Mechanistic Study of Single-Adapter Drift Local data augmentation for imbalanced binary classification R2-GP: Variance-Calibrated Priors for Additive Gaussian Processes Regime-Aware Interpretable Ranking for Sector Rotation Residual-Based Adaptive Refinement in Hybrid Variational-Collocation PINNs for Singular Elliptic PDEs with Mixed Dirichlet-Neumann Boundary Conditions VeriCUA: Learning Proactive Verification for Reliable GUI Agent Rewards Learn the Task, Not the Schedule: Reducing Spurious Cross-Arm Coupling in Bimanual Imitation Learning RouterWorld: Scaling Conversational AI with Latency-Aware LLM Routing A Semantic Knowledge Graph Construction Pipeline for Vehicle Intention Prediction in nuScenes Training Natural Schemers: RL Can Amplify Oversight-Conditional Behavior SafeWall: A Risk-Aware Job Walltime Recommendation for HPC Scheduling WhatIf-Bench: Benchmarking Intervention-Aware Time Series Forecasting A Probabilistic, Rotation-Preserving Kernel Operator Surrogate for Continuum-Robot Design Spaces When the harness decides success: state that cannot be re-observed The Development of Sycophancy in Language Models: Tracing Vulnerabilities from Pretraining to Post-Training Injection of Space Radiation Errors on Low-power NVM using Generative Deep Learning Polar Switch: Fast Muon Orthogonalization with Polynomial Circuits Gradient descent reaches arbitrary accuracy in a fixed number of large steps on multiclass logistic regression Cooperative Multi-Agent Reinforcement Learning for Market Making on Prediction-Market Order Books Teacher Supervision, Fixed Representations and Calibration: Exact Risk Calculations for Candidate-Scoring Decision Models MemT-1.0: Towards Memory-Native Evolution Agent World Model in the Wild: Computer-Use Agent Environment Synthesis ProteinGeoBench: Frontier Structural-Biology Agents Are Fluent at Lookup but Lost in Geometry Supervised Learning with Quantum Hamiltonian Embeddings Newton-Based Methods for Bilevel Optimization Beyond Lower-Level Strong Convexity CoopUQ: Robust Multi-Robot Social Navigation via Uncertainty-Aware Cooperative Forecasting OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory A probability calibrator for machine-learning classifiers Chaos persists in large-scale multi-agent learning despite adaptive learning rates HyPE: Attention with Hyperbolic Biases for Relative Positional Encoding Human Responses to Algorithmic Correction: Evidence from Centre Court Provable Bounds on the Hessian of Neural Networks: Derivative-Preserving Reachability Analysis Gradient Boosting Reinforcement Learning Heterogeneous Sheaf Neural Networks Risk-averse learning with delayed feedback Selective Data Expansion for Model Performance Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective Federated Learning: From Theory to Practice Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach UNO: Unlearning via Orthogonalization in Generative models Dynamic gain neuromodulation attenuates stability gaps during continual joint training Optimizing Prompt Sequences using Monte Carlo Tree Search for LLM-Based Optimization Universal Learning of Nonlinear Dynamics EEGDM: Label-Efficient EEG Representation Learning with Generative Diffusion Model Sleep Stage Classification across Heterogeneous EEG/EOG Channels with Multi-Channel Differential Transformer Open-sci-ref-0.02: open reference baselines for reproducible language model and dataset comparison Optimal hypersurface decision trees SPRINT: Stochastic Performative Prediction With Variance Reduction Interpretable time series analysis with Gumbel dynamics OT-MeanFlow3D: Bridging Optimal Transport and Meanflow for Efficient 3D Point Cloud Generation Robust and Efficient Finetuning of Vision Foundation Models via Implicit Ensembling Time-Correlated Video Bridge Matching The Ends Justify the Thoughts: RL-Induced Motivated Reasoning Fools CoT Monitors A Unified Framework for Zero-Shot Reinforcement Learning Adaptive Data Selection for Text Classification: Hierarchical Value with a Local Utility Budget Manifold Approximation leads to Robust Kernel Alignment Empirical Bayesian Multi-Bandit Learning AutoTailor: Automatic and Efficient Adaptive Model Deployment for Diverse Edge Devices CLAPS: Aleatoric-Epistemic Scaling via Last-Layer Laplace for Conformal Regression D-STEER: Two-Way Control of DPO-Induced Safety Behavior in Activation Space Causal inference and model explainability analysis of a real world sales dataset From Perception to Punchline: Empowering VLM with the Art of In-the-wild Meme IRPM: Intergroup Relative Preference Modeling for Pointwise Generative Reward Models Standardization of Post-Publication Code Verification is Possible with the Support of the Community Patch-Level Tokenization with CNN Encoders and Attention for Improved Transformer Time-Series Forecasting TimeART: Towards Agentic Time Series Reasoning via Tool-Augmentation ELSA: Efficient LLM-Centric Split Aggregation for Privacy-Aware Hierarchical Federated Learning over the Network Edge Variance Reduction for Stochastic Switching in Functionally Constrained Federated Optimization Sparse Subspace-to-Expert Sharing for Task-Agnostic Continual Learning Machine Unlearning in Low-Dimensional Feature Subspace TTCS: Test-Time Curriculum Synthesis for Self-Evolving When Does Cheap Physics Help? Gated Multi-Fidelity Physics-Informed Networks with Provable Sample Savings and Conformal Guarantees MOSAIC: More LLMs, Less Cost through Collaborative Reasoning for Compiler Optimizations Finite-Sample Wasserstein Error Bounds and Concentration Inequalities for Nonlinear Stochastic Approximation Bayesian Preference Learning for Test-Time Steerable Reward Models SLA2: Sparse-Linear Attention with Learnable Routing and Quantization-aware Training Pushing the Frontier of Black-Box LVLM Attacks via Fine-Grained Detail Targeting $\kappa$-Explorer: Minimax Active Model Estimation in MDPs Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG Rigidity-Aware Geometric Pretraining for Protein Design and Conformational Ensembles PTOPOFL: Topology-Guided Personalised Federated Learning with Persistent-Homology Client Descriptors Quantifying Memorization and Privacy Risks in Genomic Language Models KernelClaw: A Multi-Agent Framework for GPU Kernel Optimization with Dual-Memory Mechanisms Brittlebench: Quantifying LLM robustness via prompt sensitivity Attention Sinks Induce Gradient Sinks: Massive Activations as Gradient Regulators in Transformers Quotient Geometry and Persistence-Stable Metrics for Swarm Configurations RE-SAC: Disentangling aleatoric and epistemic risks in bus fleet control: A stable and robust ensemble DRL approach On the Role of Batch Size in Stochastic Conditional Gradient Methods Conditionally Identifiable Latent Representation for Multivariate Time Series with Structural Dynamics Diet Your LLM: Dimension-wise Global Pruning of LLMs via Merging Task-specific Importance Score See it to Place it: Evolving Macro Placements with Vision-Language Models Derived Fields Increase the Recoverable Information in Budgeted Neural PDE Surrogate LLM as a Tool, Not an Agent: Code-Mined Tree Transformations for Neural Architecture Search Democratizing Tool Learning with Environments Fully Simulated by a Free 8B Language Model Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts AutoREC: A reinforcement learning platform for equivalent circuit model generation Forager: a lightweight testbed for continual learning with partial observability in RL Multilingual Safety Alignment via Self-Distillation Power Distribution Bridges Sampling, Self-Reward RL, and Self-Distillation Requests of a Feather Must Flock Together: Batch Size vs. Prefix Homogeneity in LLM Inference Bandit Learning in General Open Multi-agent Systems ProtSent: Protein Sentence Transformers PAAC: Privacy-Aware Agentic Device-Cloud Collaboration Continuous Latent Contexts Enable Efficient Online Learning in Transformers Nearly Optimal Algorithms for Adversarial Kernelized Bandits Gradient-Free Noise Optimization for Reward Alignment in Generative Models Approximation Theory of Laplacian-Based Neural Operators for Reaction-Diffusion System Let the Batch Decide, On- or Off-Policy: Effective Sample Size for RL Post-Training Agentic Reverse Engineering: From I/O to Code with Discovery Agent Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models BAPR: Bayesian amnesic piecewise-robust reinforcement learning for non-stationary continuous control SignMuon: Communication-Efficient Distributed Muon Optimization Radial-Angular Geometry for Reliable Update Diagnosis in Noisy-Label Learning A Measure-Theoretic Analysis of Reasoning in Transformers: Structural Generalization and Approximation Limits Certifying Whether to Adapt: Baseline-Relative PAC-Bayes-MMD Guarantees for Test-Time Adaptation Convex Compositional Reasoning Models DAMEL: Dual-Axis Multi-Expert Learning for Class-Imbalanced Learning Local Conflict, Targeted Repair: A Perturbation Analysis of Multi-Domain RL Smart Picks in the Dark: Towards Efficient RLVR for Reasoning via Tracing Metacognitive Pivots Balancing Image Compression and Generation with Bootstrapped Tokenization Optimal Post-Training Quantization Scales and Where to Find Them Non-Gaussianity Reveals Interpretable Directions in Language Models The Signs Were Always There: Training-Free Detection and Control in Raw Transformer Dimensions A Decision-Theoretic View of Test-Time Training: When, How Far, and Which Directions to Adapt Loop-$\mu$P: Residual Scaling and Hyperparameter Transfer in Looped Transformers Encoder-Decoder Manifold Alignment for Idempotent Generation Superhuman AI for Generals.io Using Self-Play Reinforcement Learning Compute Allocation in Bilinear Contrastive Representation Learning via Scaling Laws From Failure Taxonomy to Intervention: A Diagnostic Methodology for Industry-Scale AVLM in Video and Live-Streaming Platform Moderation Systematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architectures Microstructure-Conditioned Surrogate Models for Graded Multiscale Optimization of Mycelium Composites Task-Oriented Sensing and Covert Transmissions for Collaborative Multi-AUV Systems SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Arithmetic and its remedies select the evidence on learned geometry Circuit Claims Depend on What Is Extracted and How It Is Compared ISO: An RLVR-Native Optimization Stack Hierarchical Multilevel Monte Carlo for Order-Optimal Neural Actor-Critic in Average-Reward CMDPs Capacity Confounds and Coverage Guarantees in Adaptive Sub-model Federated Learning Test-Time Augmentation for LLMs: Where to Inject Diversity at Inference Time REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Rubric Dropout: A Simple Way to Mitigate Reward Hacking in Rubric-Based RL Dynamic Regime-Aware Conformal Calibration for Reliable Economic Forecast Intervals under Multiple Distribution Shifts Selection, Recombination, or a Fresh Solve? A Candidate-Free Control for Single-Pass Test-Time Aggregation When Clean Data Hurts: Learning with Monotone Corruptions Beyond Binary Classification Maximum-distance nonnegative matrix factorization for unmixing highly mixed grain-size distribution data Candidate-Label Saliency for Efficient Conformal Pruning of Text Classifiers Beyond Uniform Local Isometry and Topology: FactoMap for Disentangled Representations ICON decomposition: Multivariate concept auditing reveals shortcuts that neural networks rely on Characterizing Client-Independent Stationary Bias for SCAFFOLD and FedAvg in Federated Learning Spectral Features Dominate BCG Respiratory-Event Detection: A Large-Scale Patient-Independent Comparison of Feature Groups in Sleep Apnea Patients Good Memory Has ECC: Evaluating the Memory of Vision-Language Models Beyond Accuracy RecurTrace: Adaptive Latent Reasoning with Loop-Time Memory Eliciting Weak-to-Strong Generalization with On-Policy Reverse Distillation Diagnosing Faults in Reinforcement Learning Simulators with Canonical Polynomial Invariants Same path, different walk: a mechanistic comparison of looped and stacked transformer encoders on 12-lead ECG The Complexity Kink: A Prompt-Side Structural Complexity Index for Code-Generation Reliability Toollery: Scaling LLM Agents to Thousands of Skills and Tools The Ups and Downs of Backprop Weights Prior-Amortized In-Context Bayesian Inference for Generalized Linear Mixed-Effects Models ProCredit: From Outcome Rewards to Progress Credit in Agentic Reinforcement Learning Linear RNN Scaling Laws: When Longer Sequences Beat More Sequences Trace-Norm Geometry of Composed Multitask Predictors PALM: Point-in-Time Adaptation for Financial Language Models Feature Selection for Tabular Foundation Models: Exploring Feature Utility in Low-Data Molecular Prediction User Model Extraction via Belief Self-Distillation STAR: Adaptive Spatial-Temporal Normalization for Unified Microservice Incident Management A Function-Level Vulnerability Score Measures Flag Rate More Than the Model: Protocol Effects on Paired Benchmarks When Does Backpropagating Through Policy Memory Matter? Separating Representation Credit from Closed-Loop Credit Transferable Mass Spectrum Prediction via Reference-Guided Test-time Specialization Stochastic Optimization Under Power-Law Spectra: Tight Bounds and Shuffling Analysis Channel-Dependent State Space Model for Multivariate Time Series Forecasting RLTLDR: Self-improvement by Internalizing Self-generated Feedback ID Balancing: Stable Training of Extremely Sparse MoE via PID-Based Load Control Invent a Dataset: Measuring Dataset Generation Abilities with Zero Seed Data TRACE: A Reproducible Benchmark for Electricity Price Forecasting with Official Operational Text Arithmetic Actor Heads and Training Stabilization for Out-of-Distribution Reinforcement Learning Planetary Geospatial Foundation Models: A New Paradigm for Global Public Health FreshCast: Timely and Complementary Retrieval for Frozen Time Series Forecasters Principled Under Pressure: Post-Training Decides Whether LLMs Act on Their Own Moral Judgment MaRK: Markov-adapted Recurrent Kernels for Dynamic Operator Conditioning in State Space Models The Dichotomy Between Pattern Recognition and Step-by-Step Reasoning When Should an In-Context Learner Expand Its Hypothesis Space? Differential Refresh of Materialized Derived State: From a Single-Age Equivalence Limit to an Optimal Per-Partition Allocation, with a Real-System Validation on Materialized Views EdgeRock: Strong Reasoning at Constant Memory Uncovering and Fixing Collider Bias in Bayesian PINNs AdaptLSTM: Efficient Adaptive Online Learning for Cloud Workload Forecasting under Distribution Drift Double-Take: Improving Capacity, Binding, and Selectivity In Long-Context Within Bidirectional Memory SLDBench v2: Active Scaling Law Discovery Robustly Reliable Learning for Regression MMTA: Benchmarking Multimodal Temporal Analysis with Time Series, Text, and Vision SP$^2$ec: Adaptive Self-Speculative Decoding for Vision-Language Models Do Vision CIL Methods Transfer to Protein? A Diagnostic Benchmark of Frozen Protein Encoders Genesis Steering: Better Activation Steering Through Training Data Diagnosing Low-Confidence Patient Profiles via Localized Harmful Covariate Shift Detection Progress-Aware Distillation for Mitigating Stagnation in Small Language Model Agents Reinforcement Learning via Advantage Guidance CTIA-ODE: Continuous-Time Inter-Variable Attention for Long-Term Time Series Forecasting Dimension-Optimal Dynamic Regret in Exp-Concave Online Learning OrionMoE-v1.0: A Mixture-of-Experts Foundation Model for Tabular In-Context Learning Sparse Federated Echo State Networks for Time-Series Classification via Smooth-L1 Regularization Learning Rational Strategies for Temporal Objectives in Multi-Agent Systems Forecasting Voltage Time Series under Anomalies Using a WGAN Model With Lipschitz Control and Progressive Kernel Critic Strategy Residual Stochastic Concept Bottleneck Models Disentanglement with Biological Constraints: A Theory of Functional Cell Types Python Tool for Visualizing Variability of Pareto Fronts over Multiple Runs Interacting Annealed Importance Sampling via Population-Based MCMC Kernels Mitigating Data Reconstruction Attacks in Federated Learning: Conditions, Bounds, and Theoretical Guarantees Post-hoc Disentanglement of Textual and Acoustic Features in Pre-trained Speech Encoders Real Faults in Deep Learning Fault Benchmarks: How Real Are They? Evidence for Phenotype-Driven Disparities in Freezing of Gait Detection and Approaches to Bias Mitigation Backdoor Attacks on Discrete Graph Diffusion Models Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data The Super Emotion Dataset Generative Flows for Potential Outcomes and Counterfactuals The Computational Complexity of Counting Linear Regions in ReLU Neural Networks To Trust Or Not To Trust Your Vision-Language Model's Prediction How Well Do Vision-Language Models Understand Movies? AutoMind: Adaptive Knowledgeable Agent for Automated Data Science Chain of Retrieval: Multi-Aspect Iterative Search Expansion and Post-Order Search Aggregation for Full Paper Retrieval The Constitutional Controller: Doubt-Calibrated Steering of Compliant Agents Smooth Flow Matching for Synthesizing Functional Data Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering Spacing Test for Fused Lasso Geodesics in the Deep Linear Network Language steering in latent space to mitigate unintended code-switching RNAGenScape: Property-Guided, Optimized Generation of mRNA Sequences with Manifold Langevin Dynamics EngTrace: A Symbolic Benchmark for Verifiable Process Evaluation of Engineering Reasoning SparsePixels: Efficient Convolution for Sparse Data on FPGAs Generative Spatiotemporal Data Augmentation Refined Gradient-Based Temperature Optimization for the Replica-Exchange Monte-Carlo Method Test-Time Compute Games Breaking the Stochasticity Barrier: An Adaptive Variance-Reduced Method for Variational Inequalities Control Variate Design for Score-Function Gradient Estimators in Importance-Weighted Variational Inference Statistical Inference and Learning for Shapley Additive Explanations (SHAP) SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning A Unified Physics-Informed Neural Network for Modeling Coupled Electro- and Elastodynamic Wave Propagation Using Three-Stage Loss Optimization RF-GPT: Teaching AI to See the Wireless World HyperKKL: Enabling Non-Autonomous State Estimation through Dynamic Weight Conditioning Differential privacy representation geometry for medical image analysis RoboPocket: Improve Robot Policies Instantly with Your Phone Adaptive Dual-Teacher Distillation with Subnetwork Rectification for Bridging Semantic Gaps in Black-Box Domain Adaptation Post-Selection Distributional Model Evaluation Upgrade the Retriever First: What an LLM Call per Chunk Buys in RAG Estimating Individual Tree Height and Species from UAV Imagery Bringing Up a Bilingual BabyLM: Investigating Multilingual Language Acquisition Using Small-Scale Models Traceable Context-Enriched Knowledge Graph Generation with Induced Schemas A Transport Geometry of Benign Overfitting Best of both worlds: Stochastic & adversarial best-arm identification ICAT: Incident-Case-Grounded Adaptive Testing for Physical-Risk Prediction in Embodied World Models Integrative neurocybernetic modeling in the era of large-scale neuroscience Efficient Training on Multiple Consumer GPUs with RoundPipe How a Cooperative-Override Circuit Suppresses Nash Play in Large Language Models Data-Efficient Indentation Size Effect Mitigation in Steels Using Machine Learning and a Physics-Constrained Neural Network The Causal Description Gap: Information-Theoretic Separations Across Pearl's Hierarchy Coral: Cost-Efficient Multi-LLM Serving over Heterogeneous Cloud GPUs Diversity-Aware Active Learning Builds Materials Datasets for Current and Future Objectives Optimizing Social Utility in Sequential Experiments Attention Transfer Is Not Universally Effective for Vision Transformers Safe, or Simply Incapable? Rethinking Safety Evaluation for Phone-Use Agents Large Language Models over Networks: Collaborative Intelligence under Resource Constraints ForcingDAS: Unified and Robust Data Assimilation via Diffusion Forcing Nexus : An Agentic Framework for Context-Aware Time Series Forecasting Buffer-Parameterized Machine Learning Surrogate Models for Cross-Technology Signal Integrity Analysis and Optimization PACE: Geometry-Aware Bridge Transport for Single-Cell Trajectory Inference Memory-Induced Tool-Drift in LLM Agents Machine Learning for Coding Retail Product Names to Consumer-Price Categories: A Rule-plus-Bag-of-Words Pipeline with Reliability-Weighted Human-in-the-Loop Labeling Reward and Behavioral Measures of LLM Coordination in Dining Philosophers End-to-End Context Compression at Scale Evaluating the Robustness of Proof Autoformalization in Lean 4 Service-Induced Congestion in Memory-Constrained LLM Serving REFLEX: Reflective Evolution from LLM Experience Regional summaries of Bayesian model uncertainty FairBED: Incorporating Fairness into Bayesian Experimental Design FracEvent: Event-Camera Simulation via Fractional-Relaxation Pixel Dynamics Scientific discovery as meta-optimization: a combinatorial optimization case study What Makes a Latent Thought Valid? Defining and Auditing Thought Representations in LLMs How far do on-premises open LLMs get on Text-to-SQL? A cross-family size and technique frontier on BIRD Automating the Design of Embodied Agent Architectures Harnessing Textual Refusal Directions for Multimodal Safety Tropical Circuits with Scalar Multiplication Gates Graph Partitioning with Demands: Generalized Conductance and its Applications Machine Can Automatically Discover Parametric Functions to Model HEP Data CAPT: A Multi-task Continuous Autoregressive Transformer enabling Cross-dataset and Cross-species Transfer for Calcium Population Dynamics Flipping Minds by Flipping Bits: Decision-Level Cognitive Hijacking of Large Language Models WIDE: Boosting Adaptive LLM Inference via Token-level Dynamic Width Pruning What Does It Take For A Generalist Robot Policy To Adapt From Minimal Data? Buy the Rumor, Sell the News: When Is News Priced In? Gravitational-wave parameter estimation with machine-learning generated surrogate waveforms Harmonic Torsional Diffusion for Protein-Ligand Flexible Docking Advanced Linear Algebra with Applications - Part I (Numerical linear algebra for PDEs, machine learning, and data assimilation) Arbitrage-Aware Probabilistic Multi-Step Forecasting of Implied Volatility Surfaces: Joint Generation of Surface-Return Trajectories Using Latent Diffusion Parameterized Complexity of $L_p$-Lipschitz Constants for Input Convex Neural Networks and $L_p$-Norm Maximization over Zonotopes Propensity Straight-Through Gradients for Discrete Stochastic Systems LayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies A Splitting Method for SDE Terminal-Law Estimation Beyond density snapshots: Dynamical memory in Chern-Simons reservoirs Predictable Failure in Multi-Hop Retrieval: Score-Distributional Confidence Scoring and Abstention Dissecting Training-Free Uncertainty Estimation in Multimodal Large Language Models Mask-Aware Execution for Efficient JEPA Training WILSON - Multi-magnification composites as a foundation for patient-level pathology analysis and diagnostic text generation Deep Generative Crystal Structure Prediction: A Benchmark Study and a Controlled Test of Prototype Dependence LandscapeSHAP: Which Persistent Homology Class Gets the Credit? Controllable GNN Explanations via Multi-Metric Preference Selection Stashbird: Episode-Grounded Lifecycle Reconciliation for Conversational Agent Memory Mutual Information Constrained Chernoff Bottleneck OpenCollab: A Multi-Agent Coding Framework with Programmable Collaboration and Controllable Runtime MADGRAV: a multilevel anomaly-detection pipeline for gravitational-wave searches applied to LIGO data Completion-Aware Cross-Fidelity Offline-to-Online Reinforcement Learning for Multi-Line Bus Holding AURAL: Adaptive Latent Reasoning with Joint Chunk for Speech Language Models BridgeCast: Bridging Ocean Wave Forecasts to Reanalysis via Flow Matching with Exogenous Variables Streaming Multi-Track Timeline Control for 3D Human Motion Generation Democratizing MoE inference on commodity GPUs with CoMoE How Do Agentic LLMs Decide to Call Tools? A Tool-Call Vector Shaped by Suppression RARA: Robust Policy Fine-Tuning through Retrieval-Anchored Representation Alignment for Robotic Manipulation How the Classical Baseline Shapes Machine-Learning Speed Claims in Topology Optimization Universal Distributed Feature Extraction Complementary to Side Information via H-Score Understanding Personalization Gains in Whisper ASR UniW(A)M: A Unified Mixture-of-Experts Framework for World and World-Action Models Registration is a Representation Problem: Solving Whole-Body PET/CT Registration Distinguishing Process Change, Instrument Fault and Data-Path Corruption in Streaming Telemetry: A Reference Implementation and Benchmark Similar Models, Broken Odds: Where Luce's Axiom Fails in Chatbot Arena SNACK: A Sequential Notation Framework for Probabilistic Graph Generation Privacy-Preserving Text Inference for Health-Misinformation Classification and Semantic Retrieval A Phenomenology of Neural Geometry in Vision-Language-Action Models DialFork: Going Beyond Factuality to Evaluate Procedural Hallucination in Conversational Agents ETH: Data-Balanced Heterogeneous Pipeline Parallelism for Training Large Models Lexical Reference Frames: Interpreting LM Residual Streams in Native Semantics Attention over noisy examples: generalization and memorization in the exponential Hopfield network Has GPT-6-Astra Achieved Embodied Intelligence? NestedVLA: Learning to Consolidate and Generate Skills for Vision-Language-Action Models QD-Rec: Open-Ended Evolution of Recommendations via Quality-Diversity Task-aware Kernel Stein certificates for R\'{e}nyi differential privacyArxiv cs.AI
GardenBench: A lightweight, daily evaluation of LLM capabilities Doing Less with More: A First-Principles Exploration of the Suitability of Agentic Computing over Alternative Architectural Choices A Controlled LLM Workflow for Evidence-Grounded Diagnosis of Risk Score Differences What Social Media Teaches Us About Accumulative AI Risks Beyond Explicit Intent: Discovering and Shaping Artistic Intent through Human-AI Co-Creation Unified Multiparadigm Fusion Intelligence for Rare Disease Diagnosis LogicVal:A Logic-Formalized Benchmark for Constraint Satisfaction in Text-to-Image Generation World of SWECraft: Agent Collaboration at Scale via Simulated Software Worlds Persistent Memory and Iterative Improvement in an LLM Agent for Chinese-Character Drawing Cache2LoRA: Understanding and Improving Context Internalization Joint, Decoupled, or Agent: When Each Multimodal Alignment Paradigm Wins A Conditional No-Hair Theorem for Transformers: How Language Models Forget Their Prompt TorchTPU - A Hybrid Eager/Compiled Architecture for Native PyTorch Execution on TPU Self-Improving Video-to-Action Models Agents' Last Doubt: Knowing When to Act and When to Step Back in Tool-Using Agents Distillation, Self-Training, and the Fragility of Learned Chemical Reasoning Training-Free Prompt Selection for Efficient Reinforcement Learning With Partial Rollouts Probing Ambiguity: Adversarial Intent Resolution for Robust Text-to-SQL Cortex: A Fixed-Point Theory of Governed Coding Agents - Technical Report AM-Bench: A Unified Taxonomy and Evaluation Suite for Agentic Misalignment Can Compact Open-Weight Large Language Models Recover Mobility Events from Incomplete Trajectories? A Controlled Evaluation Using Air Trips From SEC Filings to Financial Signals: Evaluating LLMs on Stock Market Reactions and Analyst Forecasts SteerSearch: Interactive Search Reasoning with Mid-Response Steering Not Every User Says It All: Training Tool-Using Agents Beyond Ideal Simulated Users Who Speaks, Who Authorizes, Who Acts? Understanding Trust Boundaries in Multi-Agent LLMs CME-SpectrumBench: Can LLMs Analyze Condensed Matter Spectral Data? The Judge Can Debias Itself: Awareness and Self-Debiasing for Reliable LLM-as-a-Judge Continuous Ontology Assurance through External Resources -- An Ontology Engineering Method with a Case Study in Software Language Engineering Screening LLM Judges Without Ground Truth: A Preliminary Evaluation of an AI Dental Hygiene Coach FlashRT-PAI: Fast Kernels Are Not Fast Pipelines for Physical AI Inference DKnown-Jev: Fine-Tuning and Evaluation of a JEV-Style Model for Tasks Involving Normative Knowledge A Two-Stage Hybrid Framework for Inferring Air Trips from Mobile Location-based Service (LBS) Data under Incomplete Airport Sightings WAQS: Weight Absorption for Quadratic Probing and Affine Steering Beyond Next-Screen Prediction: The Decision Value of GUI World Models Train Locally, Learn Together: Distributed Multi-Agent Training via ADMM Is This Your Agent? Identity Watermarking for Agent Systems in Dynamic Environments IF-MAP: Influence-Function-Inspired Agent Prioritization in Multi-Agent Systems Bridging Exploration and Persona: Information-Directed Dueling for Test-Time Agent Personalization Trust the Edge, Doubt the Arrow: Auditing Validation Signals for Text-Mined Clinical Causal Knowledge Graphs MSCR: Jointly Balancing Utilization Across Modalities and Discovering Synergistic Information Hippo: Training-Free Agent Self-Evolution via Hippocampal Replay MELD: Recursive Self-Improvement via Hierarchical Coordination for Multi-Agent Scientific Discovery Learning to Compose: Recursive Self-Improvement of Shared Executable Stacks for Zero-Shot Long-Horizon Robot Manipulation Pluralistic Alignment in Language Models: Objectives, Human References, and Preference Representations ConCI: A Controlled Counterfactual Benchmark for Contextual Integrity in LLMs $M^2Net$: Unifying Scale-Specific Structures and Prototype Decomposition for Spatial-Temporal Forecasting Axiomatic World Modeling for Physics Reasoning HABIT-Bench: Evaluating Habit Induction from Longitudinal Weak Evidence in Agent Memory Comparing Sparsified MLPs and Transcoders: Many Transcoder Features Are Neurons in Disguise Rethinking EEG Spatial Super-Resolution as Dynamic State Decomposition and Filtering Concordance Plausibility Check for Intervention-Conditioned Human Digital Twins CADS: Measuring the Incremental Contribution of LLM Proposers in Sequential Biological Screens HSPR: Recovering Software-Agent Benchmark Scores via Hierarchical Posterior Inference Selm: Self-Evolving Library Management for Multi-Skill Agent Optimization Frequency-Domain Membership Inference Does Not Beat Confidence Thresholding: A Band-Resolved Analysis of Why Good Judgment, Bad Advice: Decision-Model Controllers Raise Agent Cost Without Improving Success Can AI agents make law? Evaluating AI legal relevance and creativity From Prediction to Action: Population Health World Model for Digital Medicine MM-LeJEPA: Correlated Gaussian Regularization for Multimodal Joint-Embedding Predictive Architectures Verifying Human-Written Reasoning References Spherical Physics-informed Neural Operator with Multi-scale Coupling for Meteorological Downscaling SQuIREL: A Context-Relative Framework for Measuring Entity Richness in Wikidata Neuro-Inspired Inhibitory Message Passing for Accurate and Token-Efficient Multi-Agent Reasoning Where Natural Language Ends in Agents: Executable Skill Composition with MetaSkill Can LLM Agents Resolve Service Failures? Simulating Multi-Turn Complaint Handling under Information Asymmetry Toward Collective Model Intelligence: Characterizing and Coordinating Models Are We Evaluating VLM Token Pruning Right? Looking Beyond Accuracy and Token Count ReTRACE: Feedback-Guided LLM Agent in a Chemistry Harness for Retrosynthesis Planning DialogMem: Evaluating Dialogue-Grounded Embodied Memory in 3D Environments IndustrialCAD-1400: Benchmarking Detailed Industrial Assemblies from Text Medical Fine-Tuning Reshapes, Not Reduces, Patient-Facing AI Risk: A Rubric-Based, LLM-Judge Evaluation Framework Teaching Code Agents to Ask Without Leaking Private Code Pattern-Driven Evaluation of LLM Code Optimization: Isolating Compiler-Transcendent Semantic Reasoning Bellman Language Models: Solving the Recurring Decisions of LLM Agents The One-Pixel of Reasoning: One Truthful Relation Is Enough to Mislead LLM Agents HybridResearcher: Bridging the Structured-Unstructured Boundary for Deep Research Agents A Cross-Domain Evaluation of Prompting Techniques for Large Language Models Means-Ends Analysis Helps LLMs Plan in Continuous-State Domains LowNet: Looped Wavelet Neural Networks with 24 Learnable Parameters for Solving Poisson Equations MemPrice: Online Memory Allocation via Adaptive Pricing for Long-Horizon Agents Revealing what benchmark scores hide: Jointly measuring the breadth and reliability of LLM capabilities using accessibility profiles CoworkEnv: Synthesizing Training Environments for Long-Horizon Cowork Agents Towards Human-AI Complementarity for AI Safety CorrectRTL: Boost RTL Generation Quality Through Automated Self-Correction with Instruction Decomposition VLA-Rolling: Fewer Denoising Steps, Better Control via Adaptive Action Reuse SteadyThought: Mitigating LLM Under-Thinking via Thought-Level Preference Optimization One Skill Takes Over: Clashing Agent Skills and a One-File Fix DAGLoop: Aligning Method Design with Experimental Feedback in Automated AI Research Toward Agentic Retrieval-Augmented Generation for Enterprise Retail Workflows over Heterogeneous Data Sources Explore or Confirm? LLM Agents Misallocate Measurements Under Noise Spectral Adaptive Graph Transformer for Efficient and Scalable Traffic Forecasting Memory, Know Your PLACE: Governing Lifecycle State and Query-Time Eligibility in Persistent-Memory Agents Dialogue Generation for Conversational Recommendation Using User Search Interactions and Knowledge Graphs BrandEval: A Two-Track Multi-Agent Benchmark for Risk-Sensitive LLM Crisis Communication Bridging Concepts: Multi-Agent Reasoning over Scientific Concept Graphs for High-Impact Research Prediction Aligning Language Models with Indigenous Community Cosmovision through Constitutional AI Outcome-Anchored Credit Reallocation for Agentic Knowledge Graph Question Answering When Form Changes but Logic Doesn't: Building Logic-invariant LLMs through Logical Structure Stepwise Reasoning Verification: Don't Generate, Classify! System X: An LLM Decision Model That Replies from Its Own KV Cache On Reasoning Correctness Directions A failure of Imagination: VLMs fail to use visual representations for text, but self-distillation can help P(Yes): 15$\times$ Improvements via Test-Time Scaling of Decision Models From Proposal to Execution: Modeling Interaction Semantics in Shared Autonomy Assessing the AI Readiness of Construction Datasets: A Multidimensional Operational Framework Formal Raising: Embedding Verifiable Ethical Properties into the Development of AI Bud ContextCompact 2.0: Context Compaction for Agent Success and Accuracy with Small Language Models and Constrained Context Windows When Empathy Misses the Goal: A Benchmark for Goal Displacement in LLM Advice StopLoss: Teaching Agents to Predict Failure and Stop Early From Clinical Risk Prediction to Operational Decisions: An Uncertainty-Aware Framework for ICU Staffing Auditing Tool Traces in Agentic LLMs: Source Localization and Counterfactual Dependence Testing Editing as Language: Teaching LLM Agents a Grammar for Native Context Editing Symbolic Constraint Agents: Mining Formal Tool-Call Constraints to Prevent Agent Errors Narrow Decision Models: A System-1 Architecture for Calibrated, Typed Decisions Learning Which Device to Call: Online Tool Grounding for LLM Agents in IoT Design and Cross-Domain Evaluation of an Agent Execution Harness The Forward/Inverse Duality of Controlled Emergence:A Computational Design Program from Explanation to Engineering Think, Compress, Answer: Reinforcement Learning for Multimodal Grounding via Reasoning Compression Spherical Fixed-Point Reasoners: Adaptive Loop Halting on the Hypersphere HyperTaxa: Multiscale Genome Representations for Generalized Microbial Taxonomic Inference LIRQuant: An Efficient Locally Isolated Rotation Quantization Method for Large Language Models Neither Over- nor Under-Constrained: Evaluating LLM Personalization under a Constraint Qualification Audit BitFlat: Error-Localized Bitstream Design for Robust Diffusion Image Compression When Safety Fails Collectively: Robust Alignment Against Harmful Fine-Tuning via Joint Weight Perturbations ToolOPD: Credit-Aware On-Policy Distillation for Tool-Use Agents CVaR-RMD: CVaR Selection Pressure for Robust Metaheuristic Discovery From Black Box to Controller: Inference-Time Steering of LLM via Feature Amplification Whose Credential Is It? How Owner Attribution in Agent MemoryShapes Cross-User Account Misuse PFedQFT: Personalized Federated Quantum-Inspired Fine-Tuning for Medical Large Language Models Fine-Grained Units, Flat Decisions: Hierarchical Micro-Expert Pruning for Mixture-of-Experts Models TimelineAgent: An LLM-based Framework for Query-Centric Event Timeline Extraction Across Multiple Documents ActTime: Action-Conditioned World Modeling for Time Series TRACE: Tracking Multimodal Clinical Trajectories for Inpatient Risk Prediction EvalRx: Agentic Diagnosis and Verified Repair of Foundation Models From Trace to Fix: Residual Task State in Long-Horizon Agents Standing on the Shoulders of Giants: Enhancing LLM Agents for Automated Fact-Checking with Human Expert Skills OpenSaC: A Python Library for Search as Code in Deep Research Agents Can LLM User-Proxies Stand In for Humans in Reliance Measurement? Replicating Rel-A.I. with Simulated Users SAR: Learning Global Item-Space Matching and Geometry-Aware Placement Ranking for Buffered Online 3D Bin Packing When to Stop Asking: Factor Coverage Bias and LLM Determinability Judgments with Underspecified Information in Medicine When Retrieval Partially Conflicts with Skills: Understanding Procedural Hallucination in Language Models FrontierRefactor: Benchmarking Multi-Scale Performance-Oriented Codebase Refactoring Not Every Rollout Needs Distillation: Correctness-Filtered On-Policy Self-Distillation A Cue's Hidden Price: Auditing Seller Influence on AI Shoppers MASIF: Implicit Failures for Process Observability in Multi-Agent Systems Are Self-Evolving Agents Continual Learners? Minimum-Cost Robust Evidence Certificates for Horn Reasoning under Correlated Source Failures Benefit-Targeted Routing and Bounded Revision for LLM-Based Evidence Screening in Manufacturing Supplier Discovery CODA: Cohort- and Drift-aware Foundation Model for Multimodal Clinical Reasoning Motor compound fault diagnosis using an attention-based cross-talk architecture When Should AI Chime In? Benchmarking Timely Contribution of Proactive Agents in Multi-Party Chat TESS: LLM-guided Translation, Exploration, Simulation, and Search for Embodied Task Planning EvoSkill v2: Fully Agentic Skill Evolution from Benchmark Adaptation to a Stateful Evolver Global probabilistic forecasting of air pollution Claim Laundering: When Agent Decision Models Trust Records Over Reality OrderGPT: Generation Order as a Learnable Modeling Choice CXBench: A Benchmark for Process-Compliant LLM Agents in Regulated Customer-Experience Workflows Productive State-Space Exploration for Multi-turn RL in LLM Agents EmbodiedWorld-200K: Toward Embodied World Agents via Embodied-Planning Dataset and Interactive World Models ABACUS: Program-Guided Multistep Reasoning over Frozen Judgment Models GLOBE: Geometry-Led Online Behavioral Early Exit via Unit-Sphere Trajectories On the Benefits of Uncertainty Estimation for Species Classification: A Case Study on Optimizing Expert re-Annotation GraphEvoResearcher: Graph-Aware Training-Free Self-Reflective Reasoning for Cost-Bounded Multi-Hop Question Answering ClueFlow: Learning Long-Horizon Search through Attributed Research-State Transitions Map-Distribution Mixture-of-Experts for Multi-Agent Pathfinding Procedural Memory for Language Agents: A Neurosymbolic Perspective on Explicit Goal Structure TimesJev: Thinking Fast on Time Series with System 1 Sufficiency Understanding When Reflective Prompt and Skill Optimization Helps on Locally Served Reasoning Models: A Two-Model Study of GEPA and SkillOpt AuDQ: Auditable Data Quality through Agentic Rule Discovery Decision4Rec: A Jev-Inspired Framework of Decision Models on Knowledge and Active Graphs for Multi-Agent Recommender Systems FinSafeGuard: A Quality-Driven Synthetic Dataset for Financial AI Safety CUA-Lite: An Open Platform for Computer Use Agents From Code to Playable Systems: CEGame-Bench for Long-Horizon Game Creation Agents Reliable Before Profitable: QuantHarness for Governing Financial Strategy Development with LLM Agents MoveBench: A Rubric-Based Benchmark for Evaluating Large Language Models in Sports and Health Coaching On Counting Graphs for Modal Logic with Counting LLMs Prompted for Legal Context Refuse More: Overrefusal from Small On-Premises LLMs in Criminal Legal Context Fairness or Fallacy? Mapping the Landscape of AI Bias in Disease Detection Towards More Granular Reasoning: Mapping the DSA Transparency Database Taxonomy to Platform Terms and Conditions Using Large Language Models CoRS: Fast Neural Flexible Job-Shop Scheduling via Composite Interval State Reuse Machina Pauliana: A neuro-symbolic approach to the actio pauliana in Dutch insolvency law Beyond Static Leaderboards: Capability-Focused Evaluation with Structural Diversity for Time Series Foundation Models LOCU: Lowdin-Orthogonalized Constraint Updates for Multi-Constraint Policy Optimization REFLEX: RNA Ensemble Generation via Flexibility-Calibrated Stochastic Bridge The Scheduler Is a Hidden Retriever: How Asynchrony Shapes Evidence Acquisition in Search Agents Selective Transfer through Sequence Distillation: From Benchmark Knowledge to Backdoor Behaviour StrucChunk: Structure-Aware Retrieval for Legal Document RAG The Control Layer Behind Rule-Following Agents Trading Across Market Conditions A Generic On-Board AI Processing Chain for Earth Observation: From Application Development to Embedded Deployment and Mission-Level Orchestration VibeTraining-Bench: Data-Trainer-Harness Co-Design for Iterative System Improvement CARRS: A Constraint-Aware, Real-Time Routing System for Emergency Vehicles in Urban Environments GAIDA: Generative AI for Human-in-the-Loop Document Annotation Autonomous intelligence for mining productivity: a multi-agent AI approach to operational value creation BOSS: Token-Budgeted Online Sampling and Selection for LLM Reasoning Answer Delivery Under a Shared Token Budget: An Audited Study of Stopping and Finalization Local data augmentation for imbalanced binary classification Physiology-Aware Graph Attention for Early Ventricular Reentry Prediction Remembering Has a Price: Learning Memory Worth under Resource Constraints VeriCUA: Learning Proactive Verification for Reliable GUI Agent Rewards ScopeMem: Latent Memory That Learns Where to Revise Frozen GUI Agents RouterWorld: Scaling Conversational AI with Latency-Aware LLM Routing Toward Structured Financial Foundation Models Beyond Behavioral Accuracy: Evaluating Individual-Level Fidelity in LLM Investor Simulation A Semantic Knowledge Graph Construction Pipeline for Vehicle Intention Prediction in nuScenes Breaking Diffusion: Parallel Reasoning with Draft Refinement Agentic Orchestration of EDC Data Space Retrieval and Natural Language Driven Data Processing Training Natural Schemers: RL Can Amplify Oversight-Conditional Behavior BetaMem: Learning to Remember a Changing World for Embodied Agents Reward Objectives for Robust (PO)MDPs: A Law-Preserving Equivalence with (Partially Observable) Games WhatIf-Bench: Benchmarking Intervention-Aware Time Series Forecasting When the harness decides success: state that cannot be re-observed Revision-Based Learning from Interactive Experience and Feedback From Outcomes to Components: A Counterfactual Evaluation Framework for LLM-Proposed Repairs Tandem: Serving Hybrid Linear-Attention GUI Agents on Mobile NPUs AllPath: Layered Verification for a Deployed, Self-Revising LLM Trading Agent under Human-Gated and Autonomous Regimes Honeypots for AI Agent Insider Threats StepBench: Diagnosing Real-World Procedural Understanding in AI Agents Towards Robust Model Organisms for Eliciting Latent Knowledge LG-Bench: A Graph-Structured Evaluation Benchmark for Life Sciences SOMA: Continuous Monitoring and Intervention for System Two Reasoning with System One Models Agent World Model in the Wild: Computer-Use Agent Environment Synthesis ProteinGeoBench: Frontier Structural-Biology Agents Are Fluent at Lookup but Lost in Geometry Same Simulation, Different Evidence: Where Retrieved Tool Output Costs LLM Agents Accuracy AnyGoal: On World Model Generalization Beyond Expert Rollouts Train An Imaginative Agent Transfer Learning for Power Outage Detection Task with Limited Training Data Multi-LLM Systems Exhibit Robust Semantic Collapse Transformer-based segmentation of prosodic boundaries in Brazilian Portuguese Can the Quantum Fisher Effective Dimension Judge a Hybrid Quantum Neural Network? Anytime Contracts for AI Services LLM-Assisted Bi-Approximate CHC Solving Web Agent Agentic Reinforcement Learning Decision Model Under Multi-Cost and Failure Risk Composable Parametric Demographic Injection for Values Survey Simulation Context-Aware RGB-Thermal-Radar Obstacle Perception for Resource-Constrained ASVs Latent Multimodal Memory Reasoning EMMA: Event-Driven Multimodal Memory System with Multi-Agent Retrieval GeoForward: Geometry-Guided Cross-View Alignment for Feedforward 3D Gaussian Splatting EgoVine: Post-Training with Branching Experience Compiled from Real-World Videos When the Editing Intent Is Split: A Cross-Modal Jailbreak Attack for Large Image Editing Models UMI-WM: Interactive World Modeling for Bimanual Manipulation from Wrist Cameras SPIRIT: Sparse Physics-Informed Inverse Rendering for SAR Imaging Cross-Modal Forgetting and Transfer in Unified Multimodal Post-Training Zero-Shot Tabular Learning via Hypergraph Reasoning with LLMs SpinDoctor: Finding Innocuous Prompts for Biased Image Generation Improving Fake Profile Detection Through Multimodal Learning and Research-Guided Feature Integration miniTE: Diagnosing and Bridging the Execution Gap in Native NVFP4 Reinforcement Learning Organizing LLM Inference for Aggregate Predictions from Behavioral Data Factorization-Guided Training and Inference for Diffusion-Drafted Speculative Decoding Beyond Prediction: A Component-Level Study of Concept Recovery in In-Context Learning SECURE-AI: Multi-Signal Uncertainty Quantification for Trustworthy Acoustic Cough Detection PeekKV: The First Content Token Already Knows Which Heads Matter A Group-Aware Comparative Study of Classical Machine Learning and Deep Learning Methods for Sensor-Based Human Activity Recognition ReTTT: Reflection-Driven Test-Time Training via Experience-Based Parametric Memory CrowdH-Edit: Reference-Guided Instruction-Based Synthetic Hajj Crowd Image Generation for Crowd Counting REAP: Learning General Rearrangement Heuristics from Motion-Planner Feedback How Much Can We Prune? Exploring the Performance Limits of Visual Token Pruning LLM Evolutionary Search Strategies Should be Compared by Tokens SituHOI: Scalable Capture of Scene-Situated Full-Body Human-Object Interaction RL Teaches VLMs Where to Attend but Not How to Perceive IWOO: Wave Optics Optimizer Improved with Hybrid Strategies for Numerical Optimization and Engineering Applications Agentic Interpretation: Harness-Governed Evidence Construction for Software Agents spora: A Unified Multimodal Dataset and Platform for Spatial Proteomics PACE: Pareto-Adaptive Compression for Efficient Native MLLMs TWIN-MoE: Two-stage Intra-Expert Imputation Network for Incomplete Multimodal Learning Analysis of Binary O-type Star Systems Using Recurrent Neural Networks LLM Evolution in a Simple Simulated Market Client-Aware Security Adaptive Early Exit Vision Transformers for Heterogeneous Federated Learning The Window Is in the Reasoning: When LLM Agents Decide to Follow Prompt Injections Red-Teaming Multi-Agent Attacks for Loss-of-Control Risks OR-License: Evaluating LLM Agents as Real-World Operations Research Practitioners Does AI-Assisted Development Homogenize Software? An Empirical Study of Code Similarity, Quality, and Evolution BLANC: Adaptive Temporal Scheduling for Sign Language Production Graph-Regularized Synthetic Control for Stable Counterfactual Estimation under Donor Redundancy Prefix-Tuning for Arbitrary Output Sequences on Pretrained Transformers On the Selectivity of Generative Models in Structure-Based Drug Design The Weight of Teamwork: Does Communication Structure Help LLM Scientists Search for Scientific Laws? From Spectrograms to Shallow Speech SSL: Audio-Frontend Design for Generator-Disjoint and Low-Latency Audio--Visual Deepfake Detection lepidoptera: A Domain-Agnostic Engine for Causal Simulation with Mixed Variable Types, Vine Copula Dependence, and Individual-Level Counterfactual Propagation CoDA: A Human-LM Collaborative Codebook Development Assistant for Domain-Specific Text Annotation Model Capacity Frontier: A Development Framework for LLM-Supported Social Simulation Bootstrap Stochastic Interpolant Tree for Inference-time Search Under Sparse Reward Towards an Intelligent Decision Engine for Smart Contract Deployment SWE-Bench Pro V2: A Cleaner, Harder-to-Game Coding Benchmark Landmark-Free and Scale-Blind Multi-View Registration of Preoperative Liver Models to Intraoperative Surfaces LoopHIL: Looping Hardware into LLM-assisted Agents for Wireless Embedded Systems Analyzing Repetition and Interference Effects in Memory-Constrained User Simulators Who Plans, Who Edits? Verified, Cost-Aware Division of Labor for LLM-Driven Analog Layout Repair Encoder-Free Multimodal LLMs Learn Implicit Encoders Towards Reinforcement Learning for Space Robotics: Fast Training and Reliable Real-World Transfer SPIDES: Information-Flow Control for Browser Agents Unbounded Losses, Unchecked Inputs: Measuring the Safeguards of LLM Options-Trading Agents Learning Administrative Boundary-Aware Location Encoders via Reverse Geocoding RATION: Towards Quantitative Risk-Based Access Control for AI Agents Indirect Influences of Artificial Intelligence Advice on Complex Sepsis Treatment Decisions Morpheus-2.0: Multiscale Probabilistic Forecasting with Dual-Axis Attention VERAS: Verification-Guided Adaptive Search for Reliable Operations Research What Matters for NVFP4 Training? A Comparative Study of Low-Precision Pretraining Recipes Koi: Evidence-Guided, Self-Calibrating Planning for Multi-Cloud, Heterogeneous LLM Inference Fleets Tactix: Towards a Programmable Strategy Interface for Flexible SAT Solving ZeroDSS: Semantic Segmentation from Class Names Alone Long Listening Thoughts: Eliciting Open Auditory Reasoning with Deliberative Perception and Cognitive Refinement When Opposite Premises Translate Identically: A Source-Conditioned Diagnostic for Multilingual Commonsense Items Do 3D Large Language Models Really Use 3D Evidence? HumanSkill-4D: Training-Free Language Querying of Animatable Gaussian Avatars in Space and Time Tree Plurality Veto: Voting in Few Rounds with Efficient Communication and Low Metric Distortion SENTRY: A Streaming Edge Network Trust Engine for Real-Time Audio Deepfake Detection Which Long Documents Matter? A Controlled Study of Data Selection for Context Extension Write Once, Check Many: Reusable Ledgers for Post-Hoc Policy Compliance Auditing of Agent Trajectories GazeAct: A Human-Gaze-Annotated Manipulation Dataset for Attention-Regularized Policies Contrastive Hypergraph Source-free Domain Adaptive Object Detection in Adverse Weather Conditions--Extended Version When Code Becomes an LLM Call: An Empirical Study of Call-Site Contracts in Agentic Systems CARVS: A Congestion-Aware Algorithm for Online Multi-Agent Pickup-and-Delivery in Human-Collaborative Warehouses From Stories to Features: Scaling Concept Vectors for AI Alignment & Interpretability ASR Personalization in Pathological Voice: Accuracy, Efficiency, and Duration Effects Scene-Adaptive VLA: Efficient Autonomous Driving via Dynamic Layer Routing AdamPM: Memory-Efficient LLM Optimization via Moment Pooling Severity-Channel Conditioning: An Injection-Level Study for Consumer-Device Deblurring How Much Do Activation Monitors Benefit from Original Model Computations? Muse Glimmer 30B: An On-Device Agentic Model Contrastive Adversarial Training for Robust Graph Neural Networks under Label Poisoning DiffuPlan: Editable Planning State for Diffusion Language Model Agents Tensor Network Datamodels for Training Data Attribution GLOSS-MT: Controllable Low-Resource Machine Translation with an Editable Dictionary CorrFlow: Self-Correcting Flow Matching Evidence Field: Adaptive Covering Programs for Medical Imaging AI Rights with an Off-Switch: Rights-Balancing and Due Process Harmonize AI Rights with AI Safety LLM Trojans that Increase Response Lengths and Cost When LLM-Generated Refactorings Ripple: An Empirical Study of Repository Adoption Readiness Cooperation Without Shared Rewards via Reciprocal Q-Augmentation First-Order LoRA Training with Phone NPUs Pair-Aware Optimization: Coordinating Exploration and Refinement for Jailbreaking LLM Agents SpriteStage: Long Horizon Animation Generation via Progressive Scene Programming and Replay RAFT: Redundancy-Aware Input Filtering for Temporal Graph Neural Network Training Leveraging Mental Models for Human-Centered Explanations: A Systematic Design Approach Illustrated by Explainable Fake Review Identification Arctic-SWE: Revisiting the Long Horizon Agent Training by Modeling-System Co-Design Same Data, Different Bytes: Serialization-Invariant Integrity Checks for Agent-Published Datasets How Well Can LLMs Verbalize Mathematical Formulas? A Multi-Domain Evaluation Stable Signer V3: 4D Deformable Primitive Splatting Is All You Need for Sign Language Production What Can't Jev Decide? Probing the Limits of One-Pass Decision Models TrustAgent-RFF: Agentic Diagnostic Planning for Reliable RF Fingerprinting under Domain Shift Epi: Towards a Persistent, Self-Improving Agent for Autonomous Research Robust Direct Preference Optimization under Preference Label-Flip Attacks ControlJEPA: Principled Trajectory Regularization via Lyapunov Tube Loss CasePlay: Self-Play Reinforcement Learning from Case Reports for Medical Reasoning Label-Space Mismatch Distorts Cross-Cohort Evaluation in Breast Cancer Molecular Subtyping PRECOCIAL: Pretraining with Code Curriculums via Iterative Search for Accelerated Learning UtoMe: Observation-Uncertainty-Guided Token Merging for Weather Foundation Models UpLoop: Upcycling Large Language Models with Gated Loop ReTrace: Visual Backtracking for Efficient Multimodal Large Language Models IECLA: Interpretable Emotion Contribution Learning for Affective Image Editing LLM Agents as Suppliers of Physical System Models: Calibration and Acceptance in Modelica Synergy-Aware Residual Flow Matching for Single-Cell Perturbation Prediction One Head Away from Language Confusion: Single Attention Heads Across Model Families HCFM: Helmholtz Component Flow Matching for Time Series Anomaly Detection Policy Is Not Capability: Some Safety Benchmarks Measure Which Definition of "Unsafe" You Trained On Auto-MD-bench: Evaluating Autoresearch Agents for Real-World Medical Tasks Pre-Query Retention with Bounded Bit and Word Retrieval Self-organizing reinforcement learning: a swarm approaches the explore-exploit optimum Compile Once, Run Cheap: Frozen, Portable Skills for Embodied Agents, and What Recursive Self-Improvement Adds ClinSDT: LLM-Encoded Clinical Semantic Guidance for Sepsis Treatment via Decision Transformer TIRE: Top-Down Formula Instantiation with Reliable Execution for Physics Problem Synthesis Reflection-Guided Dynamics Rectification for Text-to-Image Generation PLANE: Plug-and-Play Fine-Grained Visual Experts for Hallucination Mitigation in Large Vision-Language Models Learning without Overwriting: Structural Knowledge Fusion for Continual Learning M-JEPA: Predictive Self-Supervised Learning for Molecular Graphs with Scaffold-Shift Evaluation on Tox21 World Models, Trees and Foundation Models for Retail Forecasting: Evidence from Four Public Data Sets Reranking Answers of Large Language Models with Knowledge Graphs ViCoR: Estimating Visual Necessity via Counterfactual Residuals for Multimodal Medical Data Selection NeuroAct: Advancing EEG Analysis and Decoding via Dual-Loop Autonomous Research Calibration-Free Early Stopping for Chain-of-Thought Reasoning via E-processes Assessing the Empirical Evidence for Loss of Control from Agentic General-Purpose AI BatchParScale: Sparse Batch-Mixing for Sequence Models EG-GRPO: Evidence-Guided Step-level Credit Assignment for Deep Search Agents Vision as Proprioception: Estimating Humanoid Robot Pose from Video World Model Interpretability: From Decoding Representations to Understanding Latent Worlds Learning When to Abort in Transformer Planning: A Mechanistic Study Shared-Private Cross-Modal Discrepancy Learning for Imbalanced Multi-Source Audio-Visual Deepfake Detection AdaFedXplain: Adaptive Federated Learning with Explainable AI for Ransomware Detection Where and Why Search-Augmented LLMs Fail When Reasoning over Rapidly Evolving Knowledge Formally Verified Autoresearch for Analyzing the Expressivity of Multi-Head Attention Local Evidence, Global Failure: Diagnosing Speech-Vision Temporal Composition in Audio-Visual Language Models CHSM8: A Chess Transformer that Follows Natural-Language Style Prompts CD-OPD: Contextual Digest for On-Policy Distillation Aligning Cultural Behaviors in Arabic Language Models via Preferences MemDerive: A Diagnostic Benchmark for Agent Memory over Evolving Data MOSAIC: Multi-Objective Search for Allocating Inference Cache Across LLM Decoder Layers Enhanced Masked Diffusion Unlearning Reliability-Preserving Compression for Deployable Medical Image Segmentation DiaLong: Benchmarking Reminiscence in Long-Context Dialogues Multimodal-Conditioned Latent Diffusion Models for Spatiotemporal Brain MRI Forecasting PRIMA: Pose Refined Inductive Motion Adapter for Zero Shot Social Bodily Behavior Recognition Dynamics-Aligned Representation Learning under Induced Partial Observability When Interpretations Persist: Downstream Influence in Gaze-Aware Assistants ATEST: Adaptive Resource-Aware Test-Time Scaling for LLM Inference Modaliff: A Unified Token Diffusion Model for Any-to-Any Generation Residential Construction Image Dataset Using CSI Divisions for Deep Learning-based Object Detection Benchmark for Structured Retrieval-Augmented Generation in Perovskite Photovoltaics When Better Opportunities Backfire: Service Worker Responses to Parallel AI Deployment in Customer Acquisition Safety Offset Learning: When Benign Fine-Tuning Misaligns LLMs Weighted State Souping for Efficient Long-Context Retrieval MapSteal: Map-based Autonomous Knowledge Stealing Attack Against Large Language Models Selecting and Composing Agent Design Patterns: Industrial Case Evidence and Controlled Reference-System Experiments ACorD: Adaptive Correspondence Discovery for Medical Image Registration Consistency Training Suppresses Cue Following Without Teaching Cue Selectivity A "feature ODE" describing the learning behavior of shallow MLPs on simple functions Beyond Leaderboards: A Method for Application-Specific Capability Profiling of Large Language Models Cross-Pollination Retrieval: Finding Transferable Ideas Across Fields in Scientific Literature MT-CC: Multi-Group Temperature Scaling for Asymmetric Calibration Behavior in Class-Incremental Learning Progress-Guided Preference Generation for Aligning Generative Control Policies Causal Humility: Governing the Authority of Fairness Claims Under Causal Uncertainty Corrected Block Sparse Spectral Optimization: Exact Models, Finite Identification, and Local Dynamics Anatomy of Off-Policy Policy Gradient: Importance Sampling, KL Regularization, and Baselines No Matter Who You Are: Addressivity and Sycophancy in Large Language Models A Calibrated Instrument for Detecting Disposition Drift in Language Models Cognitively Decoupled Meta-Induction for Out-of-Distribution Generalization Remember Less, Adapt Longer: Bounded-State In-Context Reinforcement Learning with Recurrent Summary Memory Computation, Not Memory: Chain-of-Thought and State Tracking in LLM Agents AirMPA: A Meteorology-to-Pollution Adapter for Global Air Quality Forecasting Optimizing Marketing Budgets for Social Influence: A Generalized Fractional Incentives Framework Diffusion Language Models Change Speed Across Tasks and Languages Where RL Breaks: Localizing and Repairing Failures via Targeted Continued Pretraining OV-PEAR: Observation-Verified Pose-Scale Estimation and Reconstruction for Unknown Industrial Manipulation Objects SWIFT: Self-guided Weak-to-strong dIFfusion models via Target extrapolation Measurement Validity and Representation Dynamics of Confidence Signals in Large Language Models Rubrics Beyond Evaluation: Exploiting Rubric Structure in Reinforcement Learning Adaptive Decoding Methods for Token-Efficient Reinforcement Learning Manifold-Constrained Residual Adaptation with Frame-Adaptive Layer Aggregation for Speaker Verification Secure Agentic Coding through Counterexample-Grounded Feedback UtilityBench: Measuring Language Model Utility When Errors Have Different Costs Keep the Lineages Alive: Diversity-Preserving SMC for Diffusion LLM Decoding The KV-Surgeon: Compensation-Aware Offline KV-Cache Compaction Policy Search in Code Space for Multi-Agent Pathfinding AdaExploreBench: Benchmarking LLM Agents for Proactive Exploration and Test-time Adaptation in Evolving Environments PaceVLA: Adaptive Temporal Action Quantization in Vision-Language-Action Models Behavioral Probes for Information Flow in LLM Swarms Reconstruction and Discrete-Event Simulation Assessment of an Analytical Correctness-Dependent Asymmetric Target Distributions for Self-Distillation Policy Optimization Auditor-Assisted Summary-Channel Verification for Hosted LLM Identity Substitution NIOCIS: Typed-Decision Next-Hop Routing with Node-Conditioned Option Spaces for Tool-Use Agents Accelerated Drift of Scientific Prose in the LLM Era: Evidence from an Interrupted Time-Series Analysis FrameGRPO: Incentivizing Video Reasoning via Multi-Frame Rollouts and Temporal Credit Multimodal Decoupling for Diversified Recommendation through Semantic and Structural Shaping TamedFlow: Trajectory-Aware Distillation for Teacher-Assisted Diffusion Sampling Honeyed Words, Hidden Daggers: Benchmarking and Training LLMs to See Through Mock Politeness Not All Similarity Is Leakage: Distribution-Aware Identity Leakage Assessment in Synthetic Face Datasets How Robust Are Prognostic Radiomic Features? Comparing Selection Techniques on Pooled Glioblastoma Cohorts Don't Rewrite the SID Map: Topology Preservation for Generative Retrieval in Dynamic E-Commerce Search Nash-MOPD: Optimizing Task Trade-offs in Multi-Teacher On-Policy Distillation VEILED-SH: Vulnerability Expression through Indirect Language Evaluation Dataset (Self-Harm) GeoEdit: Adversarial De-Evidencing for Silent Geoprivacy Protection via Image Editing Physics-anchored residual quantum neural networks for cloud-cover parameterization Toward Online Robust Zero-Sum Markov Games with Function Approximation Robotic Photography System based on Vision-Language-Action Model MCDA: Multi-View Graph Contrastive Learning with Dynamic Topology Augmentation for Functional MRI Analysis CIS-Transolver: A Cross-Layer Incremental-State Neural Operator for Fine-Scale Automotive Aerodynamic Flow Prediction Large-Scale Biomedical RAG: Corpus Scaling, Document Representation, and Efficiency Trade-offs PhyPro-FM: A Physics and Prompt-Guided Graph Foundation Model for Contingency Analysis When Coding Agents Outpace Review: Evaluating PRD-Driven Development in Mature Enterprise Repositories Fake News, Real Crashes: Information Injection Attacks on LLM Financial Trading Agents Rethinking LLM Fine-Tuning via Weight Space Reparameterization: Preserving Safety during Downstream Adaptation ALIGN: Aligning Condition Estimation and Expression in Advantage-Conditioned Behavior Cloning SPAR: Structural Pruning and Action Recovery for Vision-Language-Action Models Mitigating Reward Hacking in Preference Reward Models with Evolving Penalties Learn the Task, Not the Schedule: Reducing Spurious Cross-Arm Coupling in Bimanual Imitation Learning Concerns in Benchmarking Jailbreaks: An Empirical Study of Attack Success Rates Conducting Reliable Keyword Estimation with Unreliable ASR in Police Audio Data VaDar: Implicit Goal Conditioning via Value Disaggregation Reasoning-Aware Multicalibrated Reliability Predictors for Language Models The Effectiveness and Durability of Pretraining Data Filtering in Protein Language Models The Development of Sycophancy in Language Models: Tracing Vulnerabilities from Pretraining to Post-Training Intra-Rubric Reward Divergence: Mitigating Rubric Hacking through Latent Dimension Recovery and Balancing Hierarchical Token Merging with Recursive Autoencoders for Unsupervised Grammar Induction recAMPLIFY: Large-Scale Pretraining of Recursive Protein Language Models TokenGate: Adapting LLMs for Fast and Memory-Efficient Prefill with Learned Token Pruning Game of Phones: Harnessing Game Theory and LLMs in 'Bot Wars' to Counteract Phone Scams Mise-en-Video: Fine-Grained 3D Control for Multi-Shot Video Generation Next Best Action: Causal Constrained Offline RL for Business Action Targeting AfriBED: a Speech Recognition Bias Evaluation Dataset for Low Resource African Languages RefCraft: Benchmarking Visual-Reference-Conditioned Agentic Generation through Web Development Kronecker Delta Rule for Long Context Linear Attention LatComm: Reusable Context Compression for Latent Communication between Large Language Models WeAct: Dynamic Weight Switching as Agent Actions Where is Physical RSI capability from? An Observational Scaling Law of LLM-as-policy CoopUQ: Robust Multi-Robot Social Navigation via Uncertainty-Aware Cooperative Forecasting Reinforcement Learning with Visually Attributable On-Policy Self-Distillation OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory Python Tool for Visualizing Variability of Pareto Fronts over Multiple Runs Generative to Agentic AI: Survey, Conceptualization, and Challenges Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series Forecasting Empirical Analysis of Decoding Biases in Masked Diffusion Models Distinguishing Performance From Competence in Evaluations of Humanlike Abstract Reasoning SELECT: Semantic Erasure Boundary Construction with Sibling Exclusive Counterfactuals Reflection-Driven Self-Improving Language Model Agents for Adaptive RAN Slicing From Language Models to Control Policies: Search, Selection, and Verification AI Evaluation Should Require Standardized Item-Level Data Releases Traceable Context-Enriched Knowledge Graph Generation with Induced Schemas Schema-Aware Planning and Hybrid Knowledge Toolset for Reliable Knowledge Graph Triple Verification Gypscie: A Cross-Platform AI Artifact Management System RADD: Retrieval-Anchored Discrete Diffusion for Multi-Modal Knowledge Graph Completion Virtual Speech Therapist: A Clinician-in-the-Loop AI Agent for Speech Therapy Planning MOIRA: Policy Memory and Belief Revision for Language-Model Agents in Non-Stationary Pair Trading Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations Beyond Cooperative Simulators: Generating Realistic User Personas for Robust Evaluation of LLM Agents Herculean: An Agentic Benchmark for Financial Intelligence Nexus : An Agentic Framework for Context-Aware Time Series Forecasting Conflict-Aware Multi-Agent Reasoning via Signed Graph Modeling Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork MUSE: Benchmarking Assembly Structure and Interface Geometry in Multi-Component Text-to-CAD Generation VLA-Trace: Diagnosing Vision-Language-Action Models through Representation and Behavior Tracing Distilling LLM Feedback for Lean Theorem Proving FAM-Bench: Benchmarking Condition-Aware Food-as-Medicine Reasoning in Vision-Language Models Planning Takes More Than Token Prediction: Causal Plan for Benchmarking and Building Physically Grounded Embodied Reasoners Evidence Acquisition and Stopping via Lattice Distillation Frame-Conditioned Moral Computation in LLaMA 3.1-8B-Instruct: An Exploratory Mechanistic Interpretability Audit of Ethical Reasoning Scientific discovery as meta-optimization: a combinatorial optimization case study Diagnosing Task Insensitivity in Language Agents MedEvoEval: Evaluating Continual Evolution of Doctor Agents through Simulated Clinical Episodes Arena-T2I Hard: Benchmarking and Improving Faithfulness with Dependency-Aware Checklist Harnessing Textual Refusal Directions for Multimodal Safety Janus: a Playground for User-Involved Agentic Permission Management Can We Trust Item Response Theory for AI Evaluation? NeurOWL: An LLM-Based Neural-symbolic Framework for Incomplete OWL Ontology Reasoning Multi-Objective Structured Pruning of LLMs for Latency and Model Size Optimization CAPT: A Multi-task Continuous Autoregressive Transformer enabling Cross-dataset and Cross-species Transfer for Calcium Population Dynamics Defense via Consensus: Mitigating Subliminal Learning through Multi-Teacher Distillation WIDE: Boosting Adaptive LLM Inference via Token-level Dynamic Width Pruning ADIAS: Automated Design of Interactive Agentic Systems CausalNav: Reliability-Certified Causal World Models for Control under Physical-Parameter Shift When the Judge Should Not Decide: Evidence-Locked, Non-Compensatory Selection Bounds LLM-Judge Failure in Reasoning Pipelines VERDI:Verified Contradictions for Continual World-Model Optimization The edge-based contiguous p-median problem: exact formulations and strengthening inequalities InfraBench: Evaluating Infrastructure Agents Across Layers, Lifecycle, and Risk Buy the Rumor, Sell the News: When Is News Priced In? Toward Safe LLM Agents: A Survey of Specification, Verification, and Enforcement When Entropy Is Not Enough: Reclaiming Lost Semantics in LLM Output Length Prediction Break It Down, Pass It On: Cross-Task Skill Transfer in LLM Agents MobilePA-Bench: Benchmarking Mobile Planner Agents on Complex Real-World Tasks 6.5% of the Neuro-Symbolic Literature Can Be Reproduced from Its Published Artifacts, a Six-Stage Audit Framework and First Instantiation Omni-Interactive Universal Embedder Cascade Failure Attribution for Multi-Agent Systems LLM-Driven Autonomous Vehicles Can Inherit Human Driver Biases in Pedestrian Yielding: Results and Implications From a New Benchmark Escaping Reasoning Basin Collapse with History-Biased Search Multimodal Resource-Exhaustion Attacks on Vision-Language Models via Joint Pixel-Prompt Optimization LayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies MemForest: Efficient Agent Memory Management via EventTree Partitioning and Progressive Merging Application of curiosity driven exploration methods for hardware interference identification Differential Functionalism: Jacobians Shape the Structure of Phenomenal Experience Multi-Agent Agentic Graph Learning via Structural Signatures How Good Are Frontier Models at Physics? Expert Re-Grading Reveals Broken Evaluations and Near-Saturation of Leading Benchmarks Generative Embodied Multiple Behavior Control Systems for Human-like Agents Taming CoT Obfuscation in VLMs: From Mechanistic Evidence to Activation-Level Enforcement Modern GLOM: Canonical locks that encode part-whole hierarchies VACS: Value-Aligned Compositional Shielding for Multi-Agent Reasoning PotARCin: Multi-Dimensional Evaluation of Skill Acquisition in Abstract Reasoning Tasks PluginRSI: Recursive Improvement of Agent Harnesses with Reusable Plugins Controllable GNN Explanations via Multi-Metric Preference Selection Large Language Models Substantially Compress Well-Being Dispersion but Largely Preserve Its Socioeconomic Structure CodeSkill: Latent Skill Abstraction for Long-Horizon Code Agents ActiveMem: Dynamic Latent Memory Trees for Long-Horizon Agents LSTMem: Hierarchical Long Short-Term Online Memory for Large Language Models Stashbird: Episode-Grounded Lifecycle Reconciliation for Conversational Agent Memory DoAtlas-2: A Foundation for Self-Evolving Causal Biomedical Discovery Hyper Algorithm Design Agent: Evolving Learnable Optimizer from Zero Just Initialize: A Training-Free Initialization Component for Large-Scale Routing Optimization FineSID: Scalable and Efficient Semantic Identifier Learning for Generative Recommendation FairDiff: Mitigating the Self-Reinforcing Matthew Effect in Diffusion Recommender Models Completion-Aware Cross-Fidelity Offline-to-Online Reinforcement Learning for Multi-Line Bus Holding Calibration-risk routing for controlled world-model adaptation RIFAR: Reliability-Informed and Forgetting-Aware Replay for Continual Robot Learning with World-Action Models Agentic AI with Structured CoT for Enhancing AI's Spatial Intelligence: Visualization and Reasoning of Rotation Better Retrieval, Limited Clustering Gains: A Controlled Study of Multilingual Company Entity Resolution DiMOS: Doob-Guided Inference-Time Multi-Objective Search for Scientific Design Evidence Before Sampling: Interpretable Implicit Negative Candidate Discovery for Recommendation MedZERO: Self-Evolving Agents for Open-Ended Medical Reasoning Through Controlled Knowledge Accumulation Finding Side-Effect Loopholes in Verifiable Rewards How Do Agentic LLMs Decide to Call Tools? A Tool-Call Vector Shaped by Suppression Synthesis Through Simulation: Generating Coherent Enterprise Data via Scalable Agent-System Interaction Beyond Domain-Routed Supervision: Cross-Teacher Guarding for Multi-Teacher On-Policy Distillation FDE-Bench: Evaluating End-to-End Delivery from Underspecified Real-World Business Requests Trust Hinders Bidirectional Human-AI Alignment Using Evidence-Centered Design to Guide Prompt Engineering in Measurement: An Illustration with Automated Essay Scoring Passing Tests, Missing Semantics: Evidence of Interpretive Lock-In in Plan-Based DataFrame Code Generation Attention Sinks in VLMs Are Borrowed, Not Seen RetryBench: Separating Retry Permission from Recovery Outcomes in GPT Tool Use HyWe: Unifying Search and Operation for Real-World Hybrid Web Tasks Recursive Environment Scaling for General Long-Horizon Agents Understanding Personalization Gains in Whisper ASR Empowering Edge Agents: A Systematic Analysis of Edge-Cloud Collaboration in LLM Agent Execution Input-Conditioned Search for Efficient Test-Time Scaling of Recursive Reasoners Jeva: System One Models from First Principles Read the Room Before Your Model Generates Compiling Expert Procedures into Verified Programs: When a Small Model Is Enough When Agent Memory Needs to Compute: Evidence Access and Executable Aggregation SwarmRSI: Recursive Self-Improvement through Evolving Scientific Agent Swarm Planning Commitment of LLM under Partial Observability Do Agents Need a New Kind of Paper? SPRA: Structured Paper Representation for Agents Realtime-Bench: Can Frontier Models Solve Real-time Interactive Problems? HTN-Orchestrate: A Hierarchical Task Network Framework for Multi-Agent Orchestration Improving Environment-Agnostic Agents: The Role of Scaffolding At the Limits of Computability: Steps Towards Autonomous AI Discovery on the Busy Beaver Frontier Annotrace: A Workbench for Step-Level Annotation of Agent Traces Gradient Boosting Reinforcement Learning Mitigating Data Reconstruction Attacks in Federated Learning: Conditions, Bounds, and Theoretical Guarantees Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models Competition and Diversity in Generative AI Real Faults in Deep Learning Fault Benchmarks: How Real Are They? PDB: Not All Drivers Are the Same -- A Personalized Dataset for Understanding Driving Behavior TestDG: Test-time Domain Generalization for Continual Test-time Adaptation GaussTrap: Stealthy Backdoor Attacks on 3D Gaussian Splatting for Targeted Scene Misperception Student Perspectives on the Benefits and Risks of AI in Education Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares The Feasibility of Topic-Based Watermarking on Academic Peer Reviews To Trust Or Not To Trust Your Vision-Language Model's Prediction UNO: Unlearning via Orthogonalization in Generative models AutoMind: Adaptive Knowledgeable Agent for Automated Data Science Chain of Retrieval: Multi-Aspect Iterative Search Expansion and Post-Order Search Aggregation for Full Paper Retrieval NLP Meets the World: Toward Improving Conversations With News Media About Natural Language Processing Research Dynamic gain neuromodulation attenuates stability gaps during continual joint training The Constitutional Controller: Doubt-Calibrated Steering of Compliant Agents Equivariant Volumetric Grasping SlotMatch: Distilling Object-Centric Representations for Unsupervised Video Segmentation Open-sci-ref-0.02: open reference baselines for reproducible language model and dataset comparison Toward a Physics of Deep Learning and Brains SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses VeriGRAG: Enhancing LLM-Based Verilog Code Generation with Structure-Aware Soft Prompts The Ends Justify the Thoughts: RL-Induced Motivated Reasoning Fools CoT Monitors Manifold Approximation leads to Robust Kernel Alignment EngTrace: A Symbolic Benchmark for Verifiable Process Evaluation of Engineering Reasoning A Privacy-Preserving Federated Learning Method for Heterogeneous Clients Continually Evolving Skill Knowledge in Vision Language Action Model Cerium: A Multi-GPU Framework for Terabyte-Scale Encrypted Inference IRPM: Intergroup Relative Preference Modeling for Pointwise Generative Reward Models Steering Language Models Before They Speak: Logit-Level Interventions Patch-Level Tokenization with CNN Encoders and Attention for Improved Transformer Time-Series Forecasting Automated structural testing of LLM-based agents: methods, framework, and case studies Test-Time Compute Games Machine Unlearning in Low-Dimensional Feature Subspace TTCS: Test-Time Curriculum Synthesis for Self-Evolving MOSAIC: More LLMs, Less Cost through Collaborative Reasoning for Compiler Optimizations Do We Need Asynchronous SGD? On the Near-Optimality of Synchronous Methods Skin Tokens: A Learned Compact Representation for Unified Autoregressive Rigging SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass RAG Strategies for Natural Language-Based SQL Query and REST API Call Generation SLA2: Sparse-Linear Attention with Learnable Routing and Quantization-aware Training Pushing the Frontier of Black-Box LVLM Attacks via Fine-Grained Detail Targeting What Drives Students' Use of AI Chatbots? Technology Acceptance in Conversational AI GRAU: A Generic Runtime-Reconfigurable Activation-Requantization Unit for Quantized Neural Network Accelerators Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG Differential privacy representation geometry for medical image analysis Rigidity-Aware Geometric Pretraining for Protein Design and Conformational Ensembles RoboPocket: Improve Robot Policies Instantly with Your Phone Agentic AI -- Physicist Collaboration in Experimental Particle Physics: A Proof-of-Concept Measurement with LEP Open Data KernelClaw: A Multi-Agent Framework for GPU Kernel Optimization with Dual-Memory Mechanisms Brittlebench: Quantifying LLM robustness via prompt sensitivity Bridging the Gap in the Responsible AI Divides SF-Mamba: Rethinking State Space Model for Vision Attention Sinks Induce Gradient Sinks: Massive Activations as Gradient Regulators in Transformers EVA: Aligning Video World Models with Executable Robot Actions via Inverse Dynamics Rewards Span-Level Machine Translation Meta-Evaluation CTFS : Collaborative Teacher Framework for Forward-Looking Sonar Image Semantic Segmentation with Extremely Limited Labels Upgrade the Retriever First: What an LLM Call per Chunk Buys in RAG Estimating Individual Tree Height and Species from UAV Imagery OccSim: Multi-kilometer Simulation with Long-horizon Occupancy World Models Derived Fields Increase the Recoverable Information in Budgeted Neural PDE Surrogate Bringing Up a Bilingual BabyLM: Investigating Multilingual Language Acquisition Using Small-Scale Models Causal Scene Narration: Inference-Time Text Restructuring for Vision-Language-Action Driving Muon Dynamics as a Spectral Wasserstein Flow Foundations for Investigations of Agentic AI Systems from the Forensic Analysis of OpenClaw From Scientific Crop Imagery to Agronomic Reasoning: A Multimodal LLM Benchmark for Plant Phenotyping ICAT: Incident-Case-Grounded Adaptive Testing for Physical-Risk Prediction in Embodied World Models LLM as a Tool, Not an Agent: Code-Mined Tree Transformations for Neural Architecture Search Voronoi-guided Bilateral 2D Gaussian Splatting for Arbitrary-Scale Hyperspectral Image Super-Resolution Latent Abstraction for Retrieval-Augmented Generation A neural operator framework for data-driven discovery of stability and receptivity in physical systems CyberCane: a privacy-bounded neuro-symbolic retrieval framework for phishing detection under distribution shift Efficient Training on Multiple Consumer GPUs with RoundPipe How a Cooperative-Override Circuit Suppresses Nash Play in Large Language Models Forager: a lightweight testbed for continual learning with partial observability in RL The Causal Description Gap: Information-Theoretic Separations Across Pearl's Hierarchy Multilingual Safety Alignment via Self-Distillation Coral: Cost-Efficient Multi-LLM Serving over Heterogeneous Cloud GPUs Diversity-Aware Active Learning Builds Materials Datasets for Current and Future Objectives Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code Visual Text Compression as Measure Transport BioProVLA-Agent: An Affordable, Protocol-Driven, Vision-Enhanced VLA-Enabled Embodied Multi-Agent System with Closed-Loop-Capable Reasoning for Biological Laboratory Manipulation Safe, or Simply Incapable? Rethinking Safety Evaluation for Phone-Use Agents RuPLaR : Efficient Latent Compression of LLM Reasoning Chains with Rule-Based Priors From Multi-Step to One-Step Continuous Latent Contexts Enable Efficient Online Learning in Transformers Sequential Behavioral Watermarking for LLM Agents Gradient-Free Noise Optimization for Reward Alignment in Generative Models Human-AI Productivity Paradoxes: Modeling the Interplay of Skill, Effort, and AI Assistance Mobius Injection: From One-Shot Prompt Injection to Sustained Resource Exhaustion in AI Agent Infrastructure Let the Batch Decide, On- or Off-Policy: Effective Sample Size for RL Post-Training Probing Persona-Dependent Preferences in Language Models Agentic Reverse Engineering: From I/O to Code with Discovery Agent A Measure-Theoretic Analysis of Reasoning in Transformers: Structural Generalization and Approximation Limits Your Embedding Model is SMARTer Than You Think AI estimation of partition functions with the PULSE method for the thermodynamic properties of disordered compounds VLA-Pro: Cross-Task Procedural Memory Transfer for Vision-Language-Action Models DAMEL: Dual-Axis Multi-Expert Learning for Class-Imbalanced Learning Smart Picks in the Dark: Towards Efficient RLVR for Reasoning via Tracing Metacognitive Pivots 'Your AI Text is not Mine': Redefining and Evaluating AI-generated Text Detection under Realistic Assumptions Balancing Image Compression and Generation with Bootstrapped Tokenization End-to-End Context Compression at Scale CANVAS: Captioning Art with Narrative Visual-Audio AI Systems EDITH: Teaching Robot to Follow Nonverbal Human Intent from Egocentric Vision and Gaze Optimal Post-Training Quantization Scales and Where to Find Them Is LLM's Moral Decision Compositional? Non-Gaussianity Reveals Interpretable Directions in Language Models The Signs Were Always There: Training-Free Detection and Control in Raw Transformer Dimensions An integrated interpretable control effectiveness learning and nonlinear control allocation methodology for overactuated aircraft Evaluating the Robustness of Proof Autoformalization in Lean 4 Service-Induced Congestion in Memory-Constrained LLM Serving End-to-End Radar and Communication Modulation Recognition with Neuromorphic Computing Can Trustless Agents Be Trusted? An Empirical Study of the ERC-8004 Decentralized AI Agent Ecosystem Automating the Design of Embodied Agent Architectures GROW$^2$: Grounding Which and Where for Robot Tool Use GemNav: Discrete-Token Visual Robot Navigation using a Multimodal Large Language Model From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier MemPoison: Uncovering Persistent Memory Threats and Structural Blind Spots in LLM Agents SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Arithmetic and its remedies select the evidence on learned geometry Circuit Claims Depend on What Is Extracted and How It Is Compared ISO: An RLVR-Native Optimization Stack Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows KAYROS: An Anytime and Exact Open-Source Solver for Duration-Minimization Time-Dependent Vehicle Routing. A Technical Report and a Case Study in Human-AI Engineering Is Serving-Time Language-Model Inference Necessary for Recommendation? Evidence from Generative and Agentic Settings How Much AI Is in This Track? Quantifying the Proportion of AI-Generated Stems in Hybrid Music Mixtures Calling the Bluff: Detecting Ever-Shifting Harmful Chat Dialogue via Ordered Reasoning Chain Regularization Test-Time Augmentation for LLMs: Where to Inject Diversity at Inference Time Rubric Dropout: A Simple Way to Mitigate Reward Hacking in Rubric-Based RL Selection, Recombination, or a Fresh Solve? A Candidate-Free Control for Single-Pass Test-Time Aggregation EditPPT: Structured Execution and Evaluation for Reliable Slide Editing Beyond Uniform Local Isometry and Topology: FactoMap for Disentangled Representations MathAdv: What Theorem Provers Know, Reason, Formalize, and Generalize ConfAL-WM: Confidence-Guided Active Learning for Action-Conditioned World Models ICON decomposition: Multivariate concept auditing reveals shortcuts that neural networks rely on Good Memory Has ECC: Evaluating the Memory of Vision-Language Models Beyond Accuracy Cleaner Speech, Weaker Generalization: Revisiting Pitt-Derived Benchmarks for Alzheimer's Disease Detection GraFT: A Training-Free Framework for Spatial Reasoning in Multimodal Large Language Models via 3D Scene Graphs Leveraging Low-Level Symbolic Competences for Unsupervised Grounding in Hallucination Detection AURA-Eval: Evaluation Framework for Acting Under Risk Awareness in LLM Agent Trajectories Joint Deployment and Resource Management for Group-Tag-Based Physical-Layer Authentication and Collaborative Communication in NTN Chopthin-Consensus Power Sampling: A Diversity-Preserving Approach to LLM Decoding Diagnosing Faults in Reinforcement Learning Simulators with Canonical Polynomial Invariants Beyond density snapshots: Dynamical memory in Chern-Simons reservoirs LPA-CWM: A Learned Physical Adjudicator for Motion Reasoning with Counterfactual World Models From Generative to Discriminative: Lightweight Adaptation of SpeechLLMs for Multimodal Emotion Recognition From Code Archival to Knowledge Graph: Bridging Software Heritage, COAR Notify and Wikidata Toollery: Scaling LLM Agents to Thousands of Skills and Tools AffordanceWAM: Affordance-Aware Joint World-Action Modeling for Robot Manipulation The Ups and Downs of Backprop Weights WILSON - Multi-magnification composites as a foundation for patient-level pathology analysis and diagnostic text generation STAR: Adaptive Spatial-Temporal Normalization for Unified Microservice Incident Management VReAct: Verification as an Architectural Layer for LLM Agents: A V-Model Design, and a Pilot Study of Its Deterministic Core DashAct: A Progressive Diagnostic Benchmark for GUI Agents in Interactive Dashboard Analysis CoSec: Benchmarking Agent Security in Communities Cheap to Hypothesize, Costly to Verify: The Defense Surface of Agentic Vulnerability Discovery Channel-Dependent State Space Model for Multivariate Time Series Forecasting WeLike2Party! In-Context Motion Transfer for Multi-Human Image Animation FedSocket: Recipient-Executable Knowledge Exchange for Heterogeneous Multimodal Federated Learning RLTLDR: Self-improvement by Internalizing Self-generated Feedback Zero2Repo: Can Coding Agents Build Repositories from Scratch? OpenCollab: A Multi-Agent Coding Framework with Programmable Collaboration and Controllable Runtime Post-Training Frontier Text-to-Image Models by Composing Preference and Rubric Rewards BridgeCast: Bridging Ocean Wave Forecasts to Reanalysis via Flow Matching with Exogenous Variables Streaming Multi-Track Timeline Control for 3D Human Motion Generation COPEX: Benchmarking LLM Robustness to Adversarial Context Across Model Context Protocol (MCP) Layers Principled Under Pressure: Post-Training Decides Whether LLMs Act on Their Own Moral Judgment MaRK: Markov-adapted Recurrent Kernels for Dynamic Operator Conditioning in State Space Models Uncovering and Fixing Collider Bias in Bayesian PINNs Co-adaptive Rule Routing and Constraining for Structured Knowledge Retrieval Deep Learning-based Semantic Segmentation of Dental Radiographs: Comparative Evaluation of PSPNet, DeepLabv3, UNet, and UNet++ PANINI-DR: Controlled Deep Research through Generative Semantic Workspaces GeoBridge: Evolving Transferable Decoder Topologies for Geometric Vision SLDBench v2: Active Scaling Law Discovery MMTA: Benchmarking Multimodal Temporal Analysis with Time Series, Text, and Vision UniW(A)M: A Unified Mixture-of-Experts Framework for World and World-Action Models Do Vision CIL Methods Transfer to Protein? A Diagnostic Benchmark of Frozen Protein Encoders CyberArena: Benchmarking AI Agents in Live Symmetric Attack-and-Defense Combat Genesis Steering: Better Activation Steering Through Training Data Diagnosing Low-Confidence Patient Profiles via Localized Harmful Covariate Shift Detection OrionMoE-v1.0: A Mixture-of-Experts Foundation Model for Tabular In-Context Learning SCARCE: Emergent Institutions in Long-Horizon Multi-Agent Coding Systems A Jury, Not an Electorate: Label-Free Reliability Estimation for Ensembles of Language Models FedPix: Learning What to Share with Less Leakage in Federated Intelligence DialFork: Going Beyond Factuality to Evaluate Procedural Hallucination in Conversational Agents Learning Self-Orchestration in Decentralized Agent Swarms QD-Rec: Open-Ended Evolution of Recommendations via Quality-DiversityGithub Trending (Python)
MadsLorentzen/ai-job-search Comfy-Org/ComfyUI headroomlabs-ai/headroom Kruk2/jasna HKUDS/CLI-Anything shiyu-coder/Kronos anthropics/claude-plugins-official Graphify-Labs/graphify usestrix/strix Friedrich-M/UniMate google/artemis 666ghj/MiroFish bobeff/open-source-games fastapi/fastapi Imbad0202/academic-research-skillsGithub Trending (C)
openwrt/openwrt libsdl-org/SDL openssl/openssl luka-dev/mib2q-carplay-rgi sp00nznet/ps3recomp raysan5/raylib libarchive/libarchive V4bel/dirtyfrag Zelda64Recomp/Zelda64RecompNature
Is it ‘moon-stroke’, or a chill? Bundle water safeguards into critical-mineral licences Nobel-prizewinning breakthroughs can emerge from neglected organisms Conservation planning should follow animal clocks Europe and the rest of the world must come up with an answer to US science strategy Butterfly wing patterns make motion hard to read Nature’s job-satisfaction survey highlights the changing geography of science Will this sleep-disorder drug be the next big blockbuster? Can a human survive in a whale’s belly? The science behind the thriller Whalefall It’s time to teach peer review as a core research skill Vast new fossil record challenges story of Earth’s ‘big five’ mass extinctions China picks first researchers for 15-year mega grants Body clock disruptions contribute to one in four cases of depression, suggests large study Nepal’s disaster is an urgent wake-up call Toxic chemicals in fentanyl revealed by speedy technique Light and mirrors move large quantum computers closer to reality Audio long read: How to stay smart in the age of AI — the science of critical thinking US government probe into postdoc visas worries scientists Microdosing LSD shows some cognitive benefits — but only for women How pregnancy reshapes the brain throughout life Climate scientists face deluge of public-records requests about fossil-fuel studies ‘Fiercely stubborn’: the US scientists continuing their research amid funding cuts Experienced researchers ‘disrupt’ less than rookie scientists — but their ideas last Three reasons why AI is not conscious and perhaps never will be Author Correction: Long-read sequencing reveals pre-meiotic gene conversion in sperm How to compare and strengthen research systems Why failure is a taboo topic in science Lessons from Katrina: how to rebuild academia from the ground up Cortex-wide imaging in naturally behaving mice with 1-gram wireless mesoscopes Briefing Chat: An invisible tattoo that appears under UV light – and then disappears The pianist who never played Daily briefing: We’re close to reaching a 30% land-conservation target IceCube just won a Nobel prize. Protect astroparticle physics projects with the same potential Memory stays strong in old age when this brain enzyme is active Unprecedented atlas explores mitochondria across the tree of life PhD students who write dissertations with AI less likely to stay in academia History’s long-secret codes are being cracked by amateurs using AI Is AI eroding PhD students’ critical thinking and analysis skills? Orangutan mothers arrange play dates for their babies Daily briefing: Bleached corals revived by healthy neighbour’s touch Nearly half of reef-building corals face elevated relative risk of extinction World’s timekeepers upend how they adjust time to avoid catastrophic ‘negative second’ Give me the good news: four science stories to brighten your day Margaret Hamilton obituary: computer scientist who pioneered software engineering and helped us get to the Moon ArXiv versus AI slop: will capping preprint submissions work? Catalytic transfer of carbon atoms enables spirofusion of C–C σ-bonds This is why butterflies are so hard to catch Biomedical engineering is growing rapidly, but will it help patients? Author Correction: Wafer-scale epitaxy growth of high-mobility p-type boron carbon nitride Growing plane and ship traffic degrade the air of western North America The world is closer to a major conservation target than scientists thought Becoming real Lay of the land: terrestrial conservation efforts cover a wider area than thought Will my lack of country-specific grants limit my chances of employment abroad? A guide to the Nature Index Nature Index reveals the four countries to watch in biomedical engineering Is this idea from AI or humans? A detector claims it can tell Some Jurassic period birds were flightless Large blind test of methane-detecting satellites lends credibility to emissions data Daily briefing: China’s extraordinary rise in science China’s AI research is booming: what it’s like to be on the front line Protecting nature means valuing biodiversity ‘Incredible’: bleached corals thrive within days when touching healthy neighbour Alveolar stem cells go beyond making gas-exchange cells to repair damaged airways Hydrogels and MRI: meet three biomedical engineers reshaping health care How early tetrapods got their neck Structural basis of ligand recognition and gating in mosquito IRs Overlooked brown fat in our bodies linked to wide range of health benefits Smartwatch health data are piling up. How can doctors keep pace? China’s extraordinary rise in science and how it will change the world Evidence for multi-Li+ clustering in lithium-ion battery electrolytes Global conservation area coverage substantially exceeds current estimates Engineered TYK2 dependence enables myeloid-selective IL-10 receptor agonism Elp1 is required for myeloid differentiation and brain repopulation Modelling mouse embryogenesis from chemically induced totipotent stem cellsCNN
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
Some on DOJ's 20,000 "likely" noncitizen list in Calif. appear to be U.S.-born Nigeria confirms an Ebola case in Abuja as a woman arriving from Uganda tests positive Vanessa Kerry is the new WHO envoy for health resilience. What's on her to-do list? DOJ charges 28 with voting crimes. And, TikTok ignored staff's child safety concerns What if an AI bubble bursts — and that accelerates AI job losses? Why these 5 everyday items fluctuate in price at the grocery store Can the new federal voucher program help public schools? Democrats are torn TikTok staff raised child safety alarms. Court records show executives failed to act Morning news brief Rays will face Brewers in World Series to produce a first-time championThe Atlantic
The Three Dates for Deciding Ukraine’s Future Elon Musk and Dario Amodei Are Offering Gifts—With Strings Attached You Can Believe Everything France Will Never Be Enough for the People Desecrating It Donald Trump Really Wants This Golf Course Sally Rooney Is Wrong, and So Is What’s Happening to Her Trump Jr. Privately Breaks With His Dad All the President’s Hotties Winners of the 2026 Epson International Pano Awards Trump’s ‘Staggering One-Two Punch’ to Ukraine What Lego Lost When It Grew Up The Cynicism of Trump’s Climate Policy The New Food Movement Why Is Strategy So Difficult? A New Season of Autocracy in America Americans Are Spending More Money to Drive Worse Cars What Trump’s Comments About France Say About Him Two Firefighters Died in Yosemite—For What? Why the Internet Needs a Memory How Corruption Got This Bad The Minimal Requirements for a Society Free From Fear Like Yesteryear, but Better Mamdani Is the Centrist We’ve Been Waiting For Decoupling From the U.S. Is Awkward Maine Has Changed. Susan Collins Hasn’t.Vox
Is the US abandoning Ukraine? The Supreme Court is about to decide whether to ban trans women from women’s sports Why RFK Jr.’s anti-vax agenda might make eggs more expensive this winter Bestselling Author and Economic Commentator Kyla Scanlon Launches Weekly Podcast, ‘Best of Luck,’ with Vox Where did all the vegan restaurants go? What should you do if your friend is in love with you? Corruption is finally breaking through to voters this time Why the Trump administration is fighting over a golf course The French youth revolt How the Iran war is ruining Saudi Arabia’s plansAl Jazeera
Faecal waste pollutes drinking water in Mexico’s Yucatan, Greenpeace says Portugal cost-of-living protesters pour back into camps cleared by police Drone strike on Abyei market near Sudan-South Sudan border kills 150 UN experts call on India to stop using ‘excessive force’ against protesters Musk confirms SpaceX and Tesla exploring merger US jails Guatemalan man for 30 years over deadly smuggling operation Why former FDLR fighters are returning to Rwanda One year on: Has Kenya’s opposition lost its way without Raila Odinga? King Charles welcomes Omani sultan, hails peace efforts in UK state visit Iran war live: US warns peace deal with Tehran is extremely difficult Moment plane crashes on a busy highway in the US NATO to send additional patrol planes to Black Sea after drone attacks The Gambia to pay reparations to ex-dictator’s victims from sale of US mansion ‘I don’t care how it’s done’: Trump pressures Ukraine to cut peace deal Trump commits more than $400m ahead of high-stakes midterm elections PSG score late to sink Barcelona 4-2 in Champions League blockbuster US food importer sues Trump over 50 percent tariffs on Canadian goods Why do the US midterms matter for Trump and Congress? PSG and Barcelona fans divided over politics in football amid Paris riots Trump: Ilhan Omar could be deported, slams Somalia as a ‘s—house’ Why the war on Iran could backfire on US regime-change goals UK police rearrest two men on suspicion of assisting Iran’s intelligence France riots leave thousands of businesses damaged EU revises Arctic strategy as pressure from Russia, US grows Is money ruining US elections?Ars Technica
PHP warns it plans to release 2 emergency patches imminently Merging SpaceX and Tesla would be a "good idea," Musk says Cops raid office of RFK Jr. allies planning “unethical” vaccine trial on babies Microsoft reportedly projects $1,200 to $1,800 price for 2028 Project Helix JustWatch, which tackles streaming fragmentation, launches own streaming service Meta drops the word "train" from its commercial TOS after AI backlash Gemini's Personal Intelligence is coming to cars OpenBSD 8.0 arrives with security record still intact The Internet goes on high alert after discovery of 8 compromised TLS certs TP-Link tries to appease Trump admin with pledge to assemble routers in US Does anyone actually want to win the medium-lift race in the United States? Ukraine’s drone rescue of wounded soldier puts much touted idea into practice Quantum error correction goes well beyond breakeven Meta tries to scapegoat staff who downloaded torrents to spare execs Polestar tries to quantify what it’s like to drive a performance car Meta Muse exposes users' personal and business secrets when they share conversations Visiting Slate’s first showroom as its $25,000 electric truck nears production Japan launches mission to bring home a piece of the Martian moon Phobos Pennsylvania issues alert on congenital measles—something US hasn't seen for decades Russian spacecraft maneuvers in "extreme proximity" to satellite used by UkraineSlashdot
Judge Orders Meta To Name Employees Who Approved Torrenting Anna's Archive, Libgen Ukraine Claims World's First Drone Evacuation of Wounded Soldier Sony Updates the Walkman As a $5,900 Gold-Plated MP3 Player AMD Is Bringing FSR 4.1 to Xbox Consoles and Handhelds Google Support Pages Start Defaulting to AI Chatbots DHS Lied About Why It Wanted To Search Activist's GrapheneOS Phone OpenBSD 8.0 Released Meta Muse Exposes Users' Personal, Business Secrets When They Share Conversations US Bans DeepSeek From Government Use Nscale, Anthropic In Talks For New $45 Billion AI Cloud Deal Microsoft Abandons UK AI Supercomputer As Grid Struggles to Keep Up Japan Launches Historic MMX Sample-Return Mission to Mars' Moon Phobos Amazon To Fund 12 Small Nuclear Reactors At Former Indiana Coal Plant Professor Calls To Abolish Business Schools For Failing Society TP-Link Moves to Assemble Routers In the US Following Import BanSmithsonian Magazine
A Rhode Island Man Grew the First Pumpkin to Surpass 3,000 Pounds. The Gargantuan Gourd Is the Largest Fruit Ever Sick Corals Can Heal With the Help of a 'Magic Touch' From Healthy Ones, Offering Hope for Heat-Damaged Marine Ecosystems A Vast New Database Shows How Britain Built a Global Empire by Trading Goods Like Coal, Wine and Wood Closer to Home The World's Tallest Trees Seem to Struggle to Make Their Own Food During Heat Waves, Leaving Them Vulnerable as the World Warms This Dog Learned to Sniff Out a Slimy Marine Invader Called 'Sea Vomit'—a Skill That Earned Her the Animal of the Year Award The Race for Hydrogen Fuel Has Taken These Scientists to the Arctic Seafloor. But Can They Unlock Its Secrets Before It's Too Late? Archaeologists Searching for Evidence of a Norse Church in Greenland Have Found 'the Smoking Gun' Near Erik the Red's Settlement The Burning of This French City Hall Was a 'Catastrophe for Heritage,' Tragically Reminiscent of the Notre-Dame Fire Scientists Don't Know How Mars Acquired Its Two Moons. Japan Just Launched a Historic Space Mission That Will Fetch Samples to Find Out When a 19th-Century Scottish Landowner Blocked a Public Footpath, Locals Rebelled. Now, Archaeologists Have Unearthed Parts of His Controversial WallInfoQ
TornadoVM 7 Enables GPU-Native Workloads From Java Applications GitHub Actions Runner Controller 0.15.0 Targets Reliability at Scale Presentation: Beyond the Prototype: Scaling Framework Agnostic AI Agent Infrastructure with Ray Java News Roundup: JEPs for JDK 28, Azul Payara, Gatherers4j, Google ADK, Yupiik, Apache Camel CVEs Pinterest Uses Event Time Watermarks to Finalize Petabyte Scale Data Partitions JEP 543 Finalizes Structured Concurrency in JDK 28, Ending Seven Preview Rounds Article: From Microservices to Agents: the Next Evolution of Distributed Systems Podcast: The Future of Web Apps: Will AI Agents Generate UIs on the Fly? EmbeddingGemma 2 Expands beyond Text to Support Code, Images, Video, and Audio Buildkite Adds Scoped Secrets and New Agentic CI Tools .NET 11 Release Candidate 2: Go-Live License and Updates across Libraries, F#, MAUI, and WinForms NestJS 12: ESM Packages, Standard Schema Validation and Native Observability Google Adopts Pyrefly for Faster, More Accurate Python Type Checking AWS Introduces Preview of Well-Architected Agent AWS Will Run Its European Sovereign Cloud Without the Global Backbone for Several HoursDynomight
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
Saving for the machines Tuesday assorted links The net fiscal impact of immigration should include gains from trade On Brazilian food The California billionaire tax is very likely a net revenue loser Monday assorted links No, DataCenters are Not Crowding-Out Other Investments What I’ve been reading *You Can See Everything* (no spoilers) *This Beautiful Country* Our fascination with screens, demand curves slope downward installment #1637 The archaeology tranche of Emergent Ventures Saturday assorted links Solving for the equilibrium? New Matt Faherty study of the NSFNot Boring
Weekly Dose of Optimism #215 Runway: Learning From Watching the World Weekly Dose of Optimism #214 Weekly Dose of Optimism #213 Airbound: As We May Move Weekly Dose of Optimism #212 Would We Send Our Kids to HAA? Weekly Dose of Optimism #211 Weekly Dose of Optimism #210 An Ode to Counter-Positioning Everyone is Reading Lonesome Dove Weekly Dose of Optimism #209 Weekly Dose of Optimism #208 An American Engineer in China Weekly Dose of Optimism #207 Weekly Dose of Optimism #206 Base Power Company: Chapter 3 Weekly Dose of Optimism #205 Weekly Dose of Optimism #204 AI is Oil, Not GodCoding Horror
If we do not stop to help each other, what do we become? You Can't "Vibe Code" Love Every Choice Changes Everything: The Show Thank You For Being a Friend Launching The Rural Guaranteed Minimum Income Initiative The Road Not Taken is Guaranteed Minimum Income Let's Talk About The American Dream Stay Gold, America The Great Filter Comes For Us All I Fight For The Users The 2030 Self-Driving Car Bet Updating The Single Most Influential Book of the BASIC Era Building a PC, Part IX: Downsizing The Rise of the Electric Scooter Electric Geek Transportation SystemsNASA Breaking News
NASA to Conduct Low-Altitude Flights Over Texas Farmland NASA’s SR-1 Freedom Advances with Progress on Nuclear Power Module NASA Experimental Mars Helicopter Blade Designs Target Longer Flights NASA Provides Progress Update on Moon Base Rovers Webb Captures Stellar Jets NASA Welcomes Uzbekistan as Newest Artemis Accords Signatory APOD: 2026 October 20 – An Anticrepuscular Rainbow Fan The Human Fingerprint on Earth’s Water Cycle Curiosity Blog, Sols 5036-5042: Watching the Clouds Go By NASA Improves Shock, Vibration AnalysisQuanta Magazine
AI Proved the Quasi-Riemann Hypothesis. What Happens Now? He Wants AI Benchmarking To Be a Science, Not a Dark Art How Do Fungi Keep the Planet Healthy? Triplet of ‘Ghostly’ Galaxies Hints at What Dark Matter Is — and Isn’t Is ‘Attention’ the Essence of Intelligence?Science Daily
Scientists finally uncover why statins can cause muscle pain Hurricane warning maps are improving, but a dangerous problem remains Astronomers uncover new secrets of the Universe’s first five minutes Scientists discover a surprising link between vitamin C and cancer survival Scientists discover a bizarre Jurassic “squid” unlike anything ever seen Your aging brain may be trading memory for something more valuable Scientists find a way to fight Alzheimer’s brain damage without removing toxic tau Scientists discover a way to kill dangerous gut bacteria without killing the good NASA solves a strange mystery hidden inside asteroid Bennu’s boulders Just 3,000 steps a day may help slow Alzheimer's, scientists find Why painful arthritis can return stronger after cancer treatment Scientists reach the ultimate quantum limit on a surface NASA reveals 16 stunning galaxies hiding cosmic chaos Alaska’s monster tsunami sent water 1,580 feet up a mountain Why some people escape Alzheimer’s despite carrying a high-risk gene Something strange is happening beneath a volcano near 2 million people Scientists win 2026 Nobel Prize for controlling brain cells with light Scientists discover why some people still can’t taste food after COVID-19 Physicists create a bizarre new quantum state called a fractional fermi sea "Mind-blowing" Alzheimer’s breakthrough: Two hours of sleep restored without clearing brain plaques Modern neuroscience is rediscovering a surprising idea freud had 130 years ago Magic mushroom ingredient takes the fight out of aggressive fish Scientists who discovered a third form of magnetism win major physics prize Scientists discover a natural compound that could protect the brain from too much salt Scientists link a strange sugar in red meat to a 63% higher diabetes risk Eating blueberries every day may have a surprising effect on your mood A simple touch can bring dying corals back to life in just 7 weeks Scientists discover a surprising twist in Japan's 7,300-year-old volcanic apocalypse Scientists uncover 3 key brain pathways linked to lasting depression relief Scientists discover that male and female skin play by different rules Astronomers discover a ghostly green star unlike any known before Scientists discover how deep sleep builds muscle, burns fat, and boosts the brain Scientists tested 39 sweeteners and uncovered surprising gut effects New drug reverses severe fatty liver disease by repairing the gut Two monster black holes could collide in just 100 years Scientists find a youth protein that helps aging brain cells act young again Archaeologists discover 1,200-year-old mummified hairless dog in Peru Fatty liver disease is actually five different conditions, scientists discover Scientists predicted doomsday for November 13, 2026. Should we be worried? NASA’s SpaceX launch lights up the sky with a giant glowing jellyfish NASA discovers hidden fires burning beneath the Amazon rainforest NASA’s Roman Space Telescope exceeds expectations by nearly 30% SpaceX just delivered some very strange cargo to the International Space Station This bird flies thousands of miles, but its wings have a catch Stanford’s new microscope reveals living cells like never before Brain cells meant to protect us may be fueling cognitive decline “Crawzilla” was huge. Then scientists found an even bigger crayfish The uranium cubes that exposed Nazi Germany’s nuclear failure NASA’s Webb reveals the wild weather of a mysterious world 20 light-years away Arctic sea ice hits another troubling low in 2026 Antarctica’s sea ice has undergone a stunning reversal NASA captures strange waves high above Hurricane Simon James Webb reveals a strange bulge in an alien planet's atmosphere A protein that fuels cancer could also be the key to fighting it USC scientists discover how to create a never-ending supply of cancer-fighting cells Scientists discover how exercise reverses muscle aging Mysterious brain activity under anesthesia challenges what we know about consciousness A quantum highway just one atom high could transform superconductors A 24-year study uncovers a surprising climate benefit beneath forests Ozempic and Wegovy linked to rare risk of sudden vision lossSpaceflight Now
SpaceX scrubs launch of 27 Starlink satellites on Falcon 9 rocket from Vandenberg SFB SpaceX launches Starfall reentry capsule, 31 customer payloads on Bandwagon-5 rideshare mission Blue Origin to add new Florida launch pads, seeks aggressive increase in New Glenn flight rate SpaceX launches a classified payload for U.S. Space Force SpaceX launches NASA science and cargo to the International Space Station Launch preview: NASA, SpaceX to launch new solar arrays, 6,300 pounds of cargo to the space station SpaceX Falcon 9 rocket launches 27 Starlink satellites from California SpaceX launches 21 data satellites for the Space Development Agency SpaceX scrubs launch attempt for 21 data transport satellites for the Space Development Agency Falcon Heavy flies its first mission for U.S. spy satellite agencySpace Daily
Astronauts on the Moon could shelter from radiation, micrometeoroids and extreme temperatures inside a lava tube, and NASA is sending a suite called GIMLI to scan beneath the Marius Hills Pit to see whether the pit opens into one In 1965 an astronaut smuggled a corned beef sandwich into orbit, and NASA’s chief asked if he should be disciplined A buried crater under the town of Ames, Oklahoma, that produces oil and gas was dated to the wrong era by about 100 million years, and its new age of about 370 million years puts it close to a mass extinction that wiped out much of the sea’s life Nobody can agree where space starts, and the 20 kilometres in dispute now matter to astronaut wings, space tourism and hypersonic weapons In 1967 the Americans had a spare rocket at Woomera, and Australia built a 45-kilogram satellite to fly on it in eleven months MIT built a ring of copper wire around Earth in 1963, and more than 20 clumps of it are still in orbit A Dutch schoolteacher clicking through galaxy images on a volunteer website in 2007 flagged a green smudge she couldn’t identify and asked what it was. It turned out to be a cloud of gas lit by a quasar that had already switched off, and astronomers named the object after her. To reach Jupiter, Juice took a detour past Venus, then returned to Earth on 28 September for a successful gravity boost while using our Moon to rehearse the navigation it will need around Jupiter’s icy moons. In 2001, Taco Bell anchored a 40-foot floating target off Australia and promised every American a free taco if the falling Mir space station hit it — and the company took out an insurance policy against a direct strike before the 130-ton station came down German sailors threw thousands of bottles overboard between 1864 and 1933 to chart ocean currents, and in 2018 a woman walking an Australian beach picked one up, 132 years after a captain logged it going over the rail — and the note’s details matched the ship’s journal exactlySpace News
AnySignal to Deliver Space-to-Earth Communications for Three Reflect Orbital Missions UARX Space troubleshoots anomalies on maiden OTV Flight Oct. 29: Applying AI/SI to the GEOINT Mission How NASA is thinking about a moon base Agile Space Industries Expands to Seattle Area with New Bellevue Office How mini-constellations could more quickly bring new tech to Europe, and to orbit Jena-Optronik is proud to partner with MDA Space for its first ASTRO HP mission. What will it take to build a moon base? Announcing the finalists for the 2026 SpaceNews Icon Awards Deposition Sciences, Inc. Expands Sunshade® Tape Offering with New 12″ × 30″ Format Resource competition intensifies with surge in megaconstellationsMartin Fowler
When Software Meets Hardware Build your slide template The Craft of Practitioner Voice Are Harnesses Worth the Cost? Fragments: October 4 Principles for effective slides Bliki: Sensible Default Fragments: September 29 Fragments: September 24 Healthy Feedback I don't like LLMs Fragments: September 16 Nail the Narrative Social Media Engagement: summer 2026 Fragments: September 8 Do you even need a presentation? Bliki: Paracelsus Maxim An Accidental Blackboard Maybe We Shouldn't Be Reviewing All This Code Fragments: September 1 Making Your Data Ready for Agentic AI Fragments: August 24 Citizens Build, Agents Execute, Experts Govern Practitioner Voice: The Writing Category Nobody has Named Yet Fragments: August 18 TDD inside the agent loop - theater or actual value? Fragments: August 4 The Conductor Developer The Economic Benefit of Refactoring The Orchestrator's TaxEmbedded 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
Create Syncopated 2-Step Grooves Like A Pirate Who’s Buying All These Vibe-Coded Plugins? Manifest Audio Release Sonification Tools V3 As VST3, AU, And CLAP Plugins Ben Turner: “It’s A Thin Line Between True Curation And Gatekeeping” How I Play Live: Active Systems Beatport Launches Indie Tech Genre Category Synchro Arts VocAlign 7 Pro Review: Come Together Keleigh Batchelor: “Good Music Thrives On Diverse Influences” Antares Launches AutoTune Advanced Steven Braines: “Diversity Isn’t A Problem; It Can Be Powerful If You Embrace It”DJ 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?