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U.S. strikes Iran tankers under new "tanker for tanker" policy - Axios Incumbent Sen. Ed Markey wins Massachusetts’ Democratic primary for US Senate - NPR Judge sends Charlie Kirk murder case to trial with defendant facing potential death penalty - AP News USPS 'carefully reviewing' whistleblower claim on plan for Trump's mail in voting order - NPR Lindsay Clancy trial: Deliberations to continue Wednesday after jury fails to reach verdict - WCVB BofA vice president killed in Times Square stabbing - Reuters Grand Canyon flooding harms an economy that’s still recovering from a fire - AP News Vulnerable Democrats vote to denounce socialism amid midterm pressure - thehill.com JD Vance courts Jewish Republicans. Tucker Carlson still looms. - Politico Tucson police investigate deadly shooting outside gay bar as hate crime - The Guardian Germany accuses Russia of drone attack on Leipzig airport - Al Jazeera Nepal’s Economy Has Few Ways to Absorb the Cost of Flood Damage - The New York Times Andy Burnham promises more devolution and public control of essential services - BBC Spain's leader says Russia and Israel fueled Ceuta migrant crisis "disinformation" - cbsnews.com Bond Sell-Off Threatens to Squeeze Borrowers Around the World - The New York Times Dell stock surges on record orders for AI servers - Yahoo Finance US borrowing costs hit fresh highs over inflation fears - BBC Futures: Dell, Credo Are Big Movers Late After Bearish Market Action - Investor's Business Daily Sonos launches new ‘Ultra’ headphones and soundbar, plus more - 9to5Mac Foldable iPhone Ultra Likely Has MagSafe Charging - MacRumors Roku has released its first ever OLED TVs - The Verge New Android Drop adds remembered items in Find Hub, makes anti-nausea dots official - Ars Technica Good Morning News: Someone Has Been Convicted for Tupac's Murder, Whistleblower Says USPS Could "Derail" Midterms, and the Power of the Ocean - Portland Mercury David Ellison Is Promising at Least 30 Movies a Year. Hollywood Is Skeptical. - wsj.com Travis Kelce, Taylor Swift purchase $5.35M lakefront home in Bratenahl - WKYC Jax Taylor claims ex Brittany Cartwright cost him staggering payday in TV ‘comeback’: restraining order - Page Six Stan Kroenke to buy Angels; record $4B valuation, sources say - ESPN Naomi Osaka pays tribute to NBA star Allen Iverson in basketball-themed US Open outfit - The Guardian ‘Needs to Be Fired’ — LSU National Champion Bluntly Advises Lane Kiffin to Cut Ties With Inner Circle Amid Latest ‘Drama’ - Yahoo Sports The transfer deadline day deals that could still get done: Fernandez, Balogun, Mudryk and more - The Athletic - The New York Times How NASA's new space telescope could help solve mysteries of dark energy and dark matter - PBS Scientists make potential breakthrough in search for dark matter - Reuters Watch 2 astronauts take 6th-ever all-female spacewalk today - Space In pictures: August’s full moon and partial lunar eclipse - CNN A newborn and child reportedly died of measles; CDC isn’t counting them - Ars Technica Teen dies from ‘brain-eating amoeba’ just days after young girl succumbs to same rare infection - Fox News Myths About Prostate Cancer That Every Man Must Know: 5 Fallacies That Doctors Want You To Be Clear About - NDTV What health experts are saying after rabid goats discovered in NC - WRALBBC News
Iran retaliates after US strikes kill four at wedding party, state media reports Charlie Kirk murder suspect pleads not guilty as judge clears way for death penalty trial Burnham promises more devolution and public control of essential services UK long-term borrowing costs highest since 1998 ahead of October Budget Rising numbers of children in mental health crisis ending up in A&E Tiger Woods to change plea after crash arrest Ariana Grande completes tour and steps back from public life Germany says Russia behind Leipzig airport drone attack Urine test can spot more than nine in 10 bladder cancers Apple Maps renames Lake Ontario as Lake America after Trump order US aircraft carrier docks near Thai beach resort Pattaya after record 250 days at sea Families hit by long waits for dementia diagnosis In the studio with Kasabian: 'We never thought we'd see success again' Soft launches and late sittings - six ways to get cheaper meals out Cup noodles made with cold water? BBC tries Japan's viral snack Will self-flying planes transform the skies? The Papers: 'Brexit and Thatcher to blame' and 'Hottest summer ever' 'I've never been to Afghanistan': Six million deportees forced to start over under the Taliban Five takeaways from Burnham's Commons debut as PM Fake 10 Downing Street listing exposes 'unfit' Booking.com, says consumer group Baby girl who died at Sheffield house was stabbed, police say Women pose as men to buy testosterone online after prescription difficulties Flood chased me as I ran for 20 minutes, Nepal tunnel worker tells BBC Israel warns it will retaliate if UK imposes sanctions Range Rover launches first fully electric model Watch: Astronauts set out on rare all-female spacewalk BBC News app Is ADHD And Autism Care Heading For "Chaos"? Canada tests the limits of Trump’s power Film adaptation of the hit stage musical, starring Ben Platt Fernandez joins Man City for joint-British record £125m Premier League breaks transfer record for second straight summer No repeat of Wimbledon heroics as Fery exits US Open Superb England crush Ireland with record ODI chase Camara's £47.1m move from Monaco to Chelsea collapses Gauff's flaw forgotten on winning US Open return Fofana seals £30m move to SunderlandFinancial Times (World)
Nepal’s rapper-turned-PM faces Himalaya flood test Massachusetts’ 80-year-old senator sees off primary challenge over his age The Takaichi revolution Pentagon chaos deepens after Driscoll quits in clash with Hegseth China derails consensus on communiqué after US-hosted G20 Tim Cook handed $47mn pay deal as Apple’s executive chair China’s real robot revolution is not about humanoids Germany blames Russia for Leipzig drone attack FirstFT: Global bond sell-off deepens US diesel prices soar as Trump hauls in refiners US defends Venezuela deal as Chevron prepares to expand operations Andy Burnham accused of taking Britain back to the 1970s Russia secretly helping Iran develop supersonic cruise missiles US launches further strikes on Iran as conflict flares up AI hits college graduates in the heart of America’s data centre boom Zambian president inaugurated after election violence GoPro: a totally normal, unremarkable piece of merger activity Governments should heed the bond market’s warning IMF agrees $2.2bn bailout for Senegal Global bond sell-off deepens amid inflation fears Politics keeps European stocks in America’s shadow America can’t win the AI race if the rollout lacks public support Action camera maker GoPro to be acquired after decade-long decline Summer 2026 was the hottest since records began in 1884, Met Office says Trump touts data centre build-out despite voter backlashFinancial Times (UK)
FirstFT: Global bond sell-off deepens Andy Burnham accused of taking Britain back to the 1970s Governments should heed the bond market’s warning Global bond sell-off deepens amid inflation fears Far-right Restore Britain receives £500,000 from tech entrepreneur Keir Starmer to stand down as MP Thames Water should go into administration, says senior Tory MP Bond rout raises spectre of Budget tax rises Inflation and interest rates tracker: see how your country compares Private equity firms snap up more London-listed companies Tories reopen Liz Truss wound with new shadow chancellor Burnham signals fresh moves on living costs as political battle lines harden UK growth figures are set for another end-of-year slump. Why? Glasgow, the UK’s asylum hub, finds itself a target for the far right British banks crack down on Covid loan defaulters after government pressure Illegal streaming costs UK £1.4bn a year, broadcasters and sports bodies warn It was billed as effortless London luxury. Then tenants found out the rules London’s Tube finally escapes its mobile blackout Shortage of radioactive ‘rare as diamonds’ material frustrates nuclear start-ups How viable is Trump’s oil deal with Venezuela? Number of UK pensioners paying highest tax rates doubles in five years Whose fiscal problems would you prefer? Kemi Badenoch sacks Mel Stride as shadow chancellor Sixty years of Notting Hill Carnival UK offers homegrown AI start-ups £100mn to improve public servicesThe New York Times
John Ternus Replaces Tim Cook as Apple CEO FTC and 22 States Sue Amazon Over Advertising Practices How Meta’s $17.1 Billion Social Media Settlement Came Together Social Media and the Myth of the Big Tobacco Moment Missouri Voters Appear to Recall City Councilman Over Data Center Support Map Apps Are Handling Trump’s Renaming of Lake Ontario to Lake America Differently Influencers Have a Lot to Say About Politics. Many Are Quietly Paid for It. Prediction Markets Should Be Regulated as Gambling, Appeals Court Says Why Countries Are Pushing Social Media Bans Despite Their Flaws Meta Shifts the Blame + Do Data Center Bans Work? + The Final HatGPT Trump Administration’s Blacklisting of Anthropic Was Illegal, Judge Rules What Meta’s $17 Billion Settlement Means OpenAI and 100 Others Warn That Window to Defend Against A.I. Attacks Is Narrowing Meta Projected It Could Spend $10 Billion on Anthropic’s A.I. “Anxious Generation” Author Jonathan Haidt on the Meta Settlement California Lawmakers Pass Plug-In Solar Bill Mark Zuckerberg Wants to Make Sure YouTube and TikTok Share His Pain Prediction Markets and States Clashed, Setting Off a Furious Political Battle Some Scientists Have ‘Magic Hands’ in the Lab. This A.I. Is Learning Why. Nvidia’s Profit Doubles to $59.69 Billion Thanks to A.I. Spending What’s Changing For Teens on Instagram and Facebook After Meta Settlement What Does $17.1 Billion Mean for Meta? Meta to Pay Up to $17.1 Billion in Landmark Settlement Over Social Media Addiction Claims Bill Gates Is Warning That A.I. Is More Dangerous Than Big Tech Will AdmitThe Guardian
South African airline defends dramatic low-level flyby before rugby union clash Countries legally obliged to consider slavery reparations, says UN committee Morocco not to blame for Ceuta border breach, says Spanish PM People fleeing Sudan civil war face ‘dire and deteriorating’ conditions in refuge city Egyptian queen’s 673-diamond necklace stolen in Vienna smash-and-grab raid Mark Carney tells US to ‘start being serious’ amid escalating trade war MapQuest app reaches No 1 on US Apple list after defying Trump’s Lake Ontario order Echoes of cold war as US accused of meddling in another Brazilian election Trump suggests he is reviewing US support for UK over Falkland Islands Canada’s ruling Liberals sweep byelections in boost to Mark Carney Thai resort prepares to host USS Abraham Lincoln sailors after more than 270 days at sea Shein shares slide on fast-fashion retailer’s stock market debut Kākāpō rising: 90 chicks swell population of the world’s heaviest parrot Nepal rescuers race to reach hundreds feared trapped in hydropower tunnels China is concealing scale of flood disaster, say Tibet campaigners News live: Australians splurging on EVs and not travelling overseas, ABS data shows; economy grows by 2.1% in year to June Relief as five Australians missing in Nepal-Tibet flood disaster found alive More than a third of prenatal reports to NSW protective services not investigated, ombudsman finds Is flying a shark drone a boring job? Possibly – until suddenly it isn’t NSW government to resume pill testing at music festivals but rejects calls for wider community rollout Germany blames Russia for drone attack at Leipzig airport Dozens arrested after fatal pre-dawn shootout in Dutch village German police investigating reported explosives at Brandenburg power substation – Europe live Russia targets Ukraine’s rail network as war enters deadly new phase Russia kills at least 12 on sixth night of drone attacks on Kyiv US and Iran exchange more airstrikes, fuelling fears of wider return to hostilities Ed Miliband promises ‘comprehensive reset’ of UK policy toward Israel Trump says US will ‘hit Iran hard’ as hostilities resume – as it happened Trump threatens further action as US and Iran exchange fire in new flare-up Iran’s economy in crisis as US launches new sanctions campaign British aid worker mistakenly identified as a survivor of Nepal-Tibet disaster Nepal-Tibet flood deaths pass 1,000 as police ask relatives for DNA to identify victims ‘The mountains are changing’: What the floods tell us about the future of India’s Himalayas Bhutan hosts first ‘conscious food summit’ amid threats to global supplies Monday briefing: Nepal and Tibet’s floods are a warning for the future Fund defence spending from tax rise on middle earners, thinktank tells Healey Cleveland police to get £2m extra to tackle serious crime in Middlesbrough Deported Milo Yiannopoulos says he is ‘ashamed’ of support for Trump Farage faces questions over his claim of second standards investigation Burnham blames Brexit and Thatcher for ‘wrong turns’ in first Commons speech as PM ‘Dangerous power grab’: top Democrats decry USPS system that could thwart mail-in voting – as it happened Senator Ed Markey wins Massachusetts Democratic primary Federal judge tosses Trump lawsuit over young trans athletes in California school sports Trump nominates loyalist Hung Cao to be permanent navy secretary US officials defend Venezuela oil deal amid questions over rebuilding planHacker News
'Idiocracy' Predicted All of This The efficient frontier of LLM inference FBI Probes Service Selling 153M+ Drivers Licenses My local model setup on an M4 Pro Mac Mini Show HN: Weedout – Safari extension that hides YouTube AI-labeled videos Fluorescent lamps (don't) have ears Show HN: HN Match Maker – Matching "Who Wants to Be Hired?" With "Who's Hiring?" Hang on to Your Firefox Path to Astra: critical capabilities and frontier safeguards The ChatGPT/Codex app bundles a full copy of LibreOffice Refurbishing a Tektronix TDS7104 Oscilloscope How accurate have Ed Zitron's AI skeptic predictions been? Claude Fable 5.1 and Claude Mythos 5.1 The creator of Jujutsu has joined ERSC Atlas: A World Model for Spatial Intelligence Launch HN: Nori Robotics (YC S26) – A low-cost humanoid robot for development Quill (YC W20) Is Hiring a Fullstack SWE Show HN: Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s Movie Scene Map – 13,312 films, series, games, anime and manga Play Store blocks AuroraStore, hurting GrapheneOS usersArxiv astro-ph.HE
G(2) Glueball Boson Stars as Restricted Kerr Mimickers in the Thomas--Fermi Limit Galactic Science with Ultra-High Angular Resolution X-ray Imaging Decisive evidence for a global cosmic-ray feature in gamma-ray data A Terrestrial Gamma-ray Flash with an Asymmetric Footprint Observed at the Pierre Auger Observatory A Self-Sustaining Black Hole Engine Powered by the Tidal Disruptions of Stars Anomalous horizontal track-like events at the HAWC observatory: candidate neutrino-induced charged leptons from the Pico de Orizaba volcano Little Red Dots as Shock-Powered High-Energy Neutrino Sources Evidence for an accretion-driven subpopulation of black holes in GWTC-5.0 Rapid Energy Dissipation by Colliding Waves in Strongly Magnetized Plasmas Photon--Dark Matter Elastic Scattering: An Effective-Operator Scan and First Operator-Resolved Sensitivity Estimates from the Galactic Halo Vortex pinning and the elastic response of neutron-star crusts - I. Axisymmetric loading Advancing Fundamental Physics and Cosmology with high-resolution X-ray imaging SN 2019cqc: A Hydrogen-rich Superluminous Supernova Showing Electron-Scattering Signatures Hunting the nature of the Seyfert 1 galaxy GRS 1734-292: can it be a gamma-ray emitter? SNAD: enabling discovery in the era of big data ALMA Observations of DEM L241/LMC P3 in the Large Magellanic Cloud: Evidence for the Formation of Cool Molecular Jets Driven by a Microquasar Cascades from ultra-high-energy neutrinos TeV Gamma Rays and Neutrinos from Winds Driven by Radiatively Inefficient Accretion Flows of Low-Luminosity Active Galactic Nuclei STOKES tables and KY codes The DSA/Chronoscope fast radio burst survey: forecasts and science overview The First Array-Wide Diffuse Flux Search for UHE Neutrinos with the Askaryan Radio Array Geometrothermodynamics and critical behavior of regular black holes Phase Transitions, Shadows, and Microstructure of Kerr-anti-de Sitter Black Holes from Geometrothermodynamics Shadow and Thermodynamics of deformed Schwarzschild-AdS black hole with a Cloud of Strings embedded in Perfect Fluid Dark Matter Probing Black Hole Thermodynamics and Microstructure via the Shadow of Sagittarius A* AXIS Could Have Accessed Dark Matter Decays Strongly coupled quark matter in neutron stars and their mergers How much of the black hole ringdown is sourced within the light ring? The multi-frequency radio light curve of the sub-pc SMBH binary candidate PG 1302-102 Spheroidal Resampling Analysis of High-Redshift Gamma-Ray Burst Spatial Densities NS-UNO: Neutron Star EoS Inference from an Unconstrained Number of Observations Radio measurements of air showers with the IceCube-Gen2 surface prototype station at the Pierre Auger Observatory Constraining equation of state of neutron star using neutron star-black hole mergers The Auger Radio Infill SKALA Extension (ARISE): Science Case and Instrumentation (ARENA 2026) Bekenstein--Hod Bound: A $3.3\sigma$ Confirmation from GW250114 The Analysis, not the Aperture: End-to-End Transformer Reconstruction for Imaging Atmospheric Cherenkov Telescopes Ad Astra White Paper: A Pitch for the Next 25 Years of NASA's Physics of the Cosmos Program Simulation Study of Binary Mergers of Galaxy Clusters I: Properties of Merger Shocks and Radio Emission The origin of isolated millisecond pulsars in globular clusters Accretion in Binary Systems with Slow Stellar Winds SCAT Data Release 1: 1812 optical spectra of 1331 transients The GMRT High-Resolution Southern Sky Survey for pulsars and transients -- VIII: Orbital Variability and the Evolution of a 1-Day He-WD Millisecond Pulsar J2101-4802 Joint XMM-Newton and NuSTAR Observations of Type I X-ray Bursts from the Dipping Low-Mass X-ray Binary 4U 1323-62 QPEs from Warped Disk Collisions with EMRIs: Brightness-Recurrence Diagram and Gravitational-Wave Follow-up Fast radio bursts, magnetars and earthquakes: their "family feud"? Misspecification in amortized X-ray spectral inference: a detection benchmark, a gain shift three schemes cannot see, and marginalizing it out The Chirp-Mass Ladder: A New Rung Emerges Constraining Cosmic-Ray Acceleration and Escape in Middle-Aged Supernova Remnants with GeV-TeV Gamma-Ray Observations Examining the possibility of a thick crust in the compact stellar object HESS J1731-347 Nulling baryonic feedback in weak lensing surveys using cross-correlations with fast radio bursts How Primordial Black Holes Change BBN Towards First Detection of the Solar MSW Transition With JUNO Direct Detection of Type II-P Supernova Progenitors with the $\textit{Euclid}$ and CSST Surveys Spin Light of neutrino in polarized matter Collisionless relaxation as the origin of the anisotropic, non-thermal, and multi-temperature momentum distributions observed in space plasmas Revisiting the Claim for a Direct-Collapse Black Hole in UHZ1 at $z=10.05$ A statistical study of the environmental age of core-collapse supernovae based on VLT/MUSE integral-field-unit spectroscopy From NVSS to RACS: Identifying truly Compact Galactic and Extragalactic sources with Steep Spectra How Low Can We Go? Minimum Spectroscopic Requirements For Supernova Subtype Classification Dynamically driven collapse of a thermally stable accretion disk in a nova-like systemArxiv cs.LG
ERR+: Sequential Entropy Resolution for Efficient and Decisive LLM Reasoning Unsupervised Latent Space Alignment with Hyperspherical Geodesic Matching Curvature Cryptanalysis of Smooth Transformer Feed-Forward Networks Equivariant Sheaf Neural Networks: Learning Geometric Transport on Graphs The Halt Vector: Internalizing a Causal Steering Intervention for Efficient Reasoning Conservative Hybrid Graph Networks for Process Systems with Learned Routing Off-Policy Evaluation for Semantic ID Recommenders: Does the Model's Own Code Hierarchy Help? Learning-Theoretic Foundation for General Coded Computing: The Straggler Setting SemKV: Semantic Mixed-Precision KV Cache Quantization Guided by the Quality Cliff for Long-Context LLM Inference RankShift: In-Database Detection and Explanation of Categorical Shifts Revisiting the Provable-Auditable Privacy Gap of DP-SGD From the Loss Landscape to Diverse Feature Learning in Neural Networks Continuity-Free Near-Minimax Leading-Order Regret for CVaR-UCBVI V2TATC: A Joint Voice-Trajectory Embedding Framework and Dataset for Air Traffic Controller Situational Awareness Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data Context-Aware Interpretable Representations for Retrieval and Graph Convolutional Network Classification Hybrid Semantic Context-Enhanced Ensemble Learning for Wind Power Ramp-Event Forecasting and Uncertainty-Aware Evaluation Flow-JEPA: Flow Matching for Robust Latent Dynamics in JEPA World Models NVE: A Separability and Coverage-Aware Internal Validation Metric for Biclustering Sparse Koopman Autoencoders Identify Local Dynamical Regimes in Multibasin Systems PathBridger: Subgoal Bridges for Offline Goal-Conditioned Reinforcement Learning Selective Disclosure of Hidden Directives in Reasoning Models: Behavioral Asymmetry and Steering Titans-QFWP: A Regime-Aware Hybrid Quantum Fast Weight Programmer for Portfolio Optimization Development of an Autonomous AI Coding Agent using Monte Carlo Tree Search (MCTS) and Gemini LLM Frameworks Temperature-Adaptive Transformed Teacher Matching PathGuide: Dynamic Classifier-Free Guidance via On-Policy Transport Alignment Explainable Machine Learning for Broadband Adoption Disparities: Tract-Level Prediction and SHAP-Based Factor Profiling Locked at the Entrance, Open Inside: Where RLVR Narrows the Solution Space HalluPrism: When Multimodal Uncertainty Should Diagnose, Not Decide PokaiTrainer: Scaling Belief-State Search to Competitive Pok\'emon VGC RL-FAT: Reinforcement Learning for Fair Adversarial Training Adaptive Multi-Branching for Shallow Decision Tree Induction When Do Larger Batches Help Scale LLM Reinforcement Learning? A Spectral Identifiability Threshold for Dissipative Rate Recovery from Truncated Liouvillian Spectra MEL: Coordinate-Preserving EEG Tokenization for fMRI Translation Information-Based Calibration of Uncertainty Quantification in Product-of-Experts Gaussian Process Models Spatial Entropy based Partitioning for Spatiotemporal Graph Unlearning Unlearning on Spatio-Temporal Graphs through Subgraph Virtual Edge Reconstruction Fully Distributed GNE Algorithms for Multi-Robot Placement without Consensus on Multipliers Where Induction Runs Out: Description-Length Difficulty and the Memorisation Gap in Integer-Sequence Benchmarks Scalable Clinical Data Infrastructure and Comparative ML Evaluation for Hospitalisation Risk Prediction in Elderly Patients with Multiple Long-Term Conditions using CPRD One Capability or Many? Testing the Economic Validity of Frontier AI Evaluation Behavioral Latency as Weak Event-Time Supervision for EEG Reaction-Time Decoding Does Latent Planning Survive Point Clouds? Action-Conditioned JEPA World Models for Geometric Observations SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning Reference-Grafting Matches Fine-Tuning at Eliciting Sandbagged Capabilities A Causal Model for Locating and Unlocking Sandbagging in Model Organisms Knowledge Distillation under Teacher Misspecification: An Order-Parameter Analysis of the Gap between Teacher Mimicry and Task Performance Learning Human Health and Diseases from 24-hour Wrist Movement Target-Aware State-Adaptive $p$-Dirichlet Graph Neural Regression for Non-Invasive Body-Composition Estimation Adversarial Online Classification with a Preview Denoising as Projection: Constrained Optimization with Gradient-Guided Diffusion On the Plasticity Collapse in Continual Machine Unlearning MedCache: Efficient and Temporally Valid Memory for Longitudinal Clinical Agents BEACON: Behavioral and Semantic Enrichment of AlphaEarth Embeddings through Tri-Modal Contrastive Learning Which LLM for Which Work? Budgeted Model Allocation under Uncertain Evaluation Asynchronous Cooperative Online Learning for Multi-Robot Control under Computational Delays HoopMind: A Real-Time Neural Game-Tree System for Opponent-Aware Possession Planning Event-triggered Control and Online Learning for Networked Systems under Computational Delays Predicting the Unpredictable: LLM-powered Long-term Chaotic Time Series Forecasting under Short-term Observations On the Resilience of Text-to-Video Diffusion Models to Hardware Faults Adaptive Doubly Robust Off-Policy Evaluation for Ranking Policies under Diverse User Behavior Wide Learning: Learning to Reach Evidence Unsupervised Multi-Scale Gromov-Wasserstein Hypergraph Alignment LLMODE: Aligning ODEs with LLMs via Gated Token Injection for Irregular Spatio-Temporal Forecasting Reward-guided Fine-Tuning of One-Step Generative Models via Wasserstein Gradient Flow A Target-Centric Survey of Quantization-Aware Training Creation begins with understanding: LLMs as strategy designers for privacy-preserving tabular data synthesis Last Step Matters: Early Uncertainty Cannot Predict Failure in Long-Horizon Agents Higher-Dimensional Rotary Position Embedding GraM-Diff: A Unified Graph-Mamba Diffusion Framework for EEG-Based Alzheimer's Disease Data Generation and Diagnosis ECA-BLS: An Efficient Complex-Augmented Broad Learning System PruneShift: A Framework for Evaluating Decision Reliability in Structured Pruning Structure Aware Neural Architecture Search for Mixture of Experts Designing for the Next Click: Bandits for Real-Time Page Layout Uncertainty-Driven Replay Memory for Reinforcement Learning Partially Linear Autoencoders for Manifold Learning and Dimensionality Reduction Towards an Expressivity-Normalized Energy-Demand Comparison of ANNs and SNNs Structural Hierarchy and Geometry in Molecular Representation Learning Sensitivity-Constrained Neural Operators for Data-Efficient Forward and Inverse Modeling of Partial Differential Equation Systems Joint Spatiotemporal Spectral Neural Operators for Learning PDEs on Irregular Domains INTERVenE: Temporal-Abstraction-Interval Based Transformers for Short-Horizon Medical Event Prediction Diffusion-Based Inverse Design of Dielectric Resonator Metasurfaces for Shaping Smart Electromagnetic Environments On the Recoverability of Private Information Unlearning in Large Language Models Robust Broad Learning System with Wave Loss for Classification under Data Uncertainty The Intervention Gap in Latent World Models Error Detection for PET/CT Radiology Reports: Domain-Specific vs Large Language Models Multiclass Linear Perceptrons with Multiplicative Margins Forget or Fine-tune? A Comparative Study of Machine Unlearning Strategies for Noisy Label Correction When 3D Gaussian Splatting Recovers Real Surfaces How do World Models and Policies Compose in LLM Agents? A Joint Spectral and Behavioral Account Selection, Representation, and Execution in Sparse Fourier Neural Operators Tracing Generated Samples to Training-Data Clusters in Flow-Matching Models A Lightweight Phenology-Aware YOLOv5 Framework for Tomato Growth Stage Detection in Resource-Constrained Bhutanese Greenhouse Environments SMOTE-VAR: An Uncertainty-Aware Oversampling Method for Predicting Depression Remission in University Students Graph4BiLO: Graph Neural Network Approximation for Bilevel Mixed-Integer Linear Optimization Supraglacial Lake Fate Is Knowable Long Before the Season Ends TPR-Attention for Combinatorial Generalization Converse and Collision-Based Achievability for Node Localization with Hybrid Distance-Spectral Graph Positional Encodings Reinforcement Learning for Symbolic Equation Solving Benchmarking Peptide-Protein Affinity Prediction Across Peptide and Target Shifts Certified Safety Radii in Forecast-Error Space for Wasserstein Distributionally Robust Small Signal Stability-Constrained AC Optimal Power Flow via Lifted Spectrahedral Containment Diffusion-Based Refinement for Kilometer-Scale Probabilistic Precipitation Nowcasting Strong Drafts Need Compact Memories: Long-Context Speculative Decoding with Compressed KV Cache Exact Recovery Thresholds for Weighted Data Selection in Vector-Valued Linear Regression Multivariate Scientific Data Compression with Learned Cross-Variable Latent Decorrelation and Autoregressive Entropy Modeling BCPPO: Bachelier-Inspired Constrained Proximal Policy Optimization for Tail-Risk-Aware Safe Reinforcement Learning CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration Tail-Replay: Escaping the Curse of Linear Attention in Prefix Caching for Hybrid LLMs Context Staircase: Signature-Aligned Dynamics of Token Embeddings under Small Initialization Online Estimation of Dynamic Origin-Destination Matrices Using Reinforcement Learning with Link-Flow Propagation Guidance Generative multi-domain transfer learning for fault detection in data-scarce wind turbines Learning PDE Time-Stepping with Neural Cellular Automata Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling Beyond Churn: Predicting Financial Fragmentation in Retail Banking with Temporal Machine Learning Mode Connectivity Beyond Classifiers: Evidence from Generative and Contrastive Models Beat-Synchronous Tokenization for ECG Transformers Convergence rates for the RMSprop optimizer with full control of the hyperparameters RSLM: Training-Free Vector Quantization for Approximate Nearest Neighbor Search DASC: Decay-Aware State Compression for Hybrid Linear-Attention Serving Uncertainty of Vision Medical Foundation Models Foundation Models Meet Agriculture: Challenges Beyond Pretraining TopGQ: Fast GNN Post-Training Quantization Leveraging Topology Information Locally-Guided Actor-Critic: Training a Goal-conditioned Actor with a Subgoal-aware Critic No Equivariant Architecture Covers All Equivariant Attention Confounding Masquerading as Improvement: A Systematic Evaluation of Offline Reinforcement Learning for Stroke Antithrombotic Treatment in a 129,000-Patient Registry PRIME: Mitigating Subgroup Optimization Competition in Shared CTR Top Networks with Plug-in Residual Input-Conditioned Mixture of Expert Self-Supervised Pretext Tasks for Infant Cry Analysis: A Controlled Comparison and a Cautionary Result on Donateacry Learning Where Outcomes Change:Credit-Addressable Reasoning for Multimodal Geometry ToxLens: A Reproducible Graph-Learning Framework for Leakage-Aware, Uncertainty-Calibrated Molecular Toxicity Prediction Measuring Memory and Generalization as Separable Geometric Channels: The Topo^2 Framework When the Martingale Never Stops Firing: Anytime-Valid Gating on Real Forecast Streams Tensor Methods for Language Models: From Token Representation to Training, Adaptation, Inference, Compression, and Interpretability Trajectory-Initialized Neural Double Q-Routing for Large-Scale Overhead Hoist Transport Systems PAC: Progress-Augmented Advantage Curriculum for Multi-Task Reinforcement Learning of LLMs Q-Strata: Hierarchical Bit Allocation for Mixed-Precision Quantization of Mixture-of-Experts LLMs Collapsibility of Performance Metrics in Clinical Predictive AI The Safety Relay in Roleplay Jailbreaks: A Component-Resolved Causal Analysis of Harm Recognition and Refusal State of Health Estimation using Convolutional and Bidirectional LSTM Neural Networks tuned by Bayesian Optimization PLC-DPO: Posterior Label Correction in Noisy and Ambiguous Preference Optimization MolLedger: An Additive Graph Neural Network with Chemically Grounded ADME Attributions Three Steps at a Time: Learning Representations from Action Sequences in Contrastive RL Season-Aware Hybrid Convolutional-Transformer for Antarctic Sea Ice Concentration Forecasting CoMPASS: Collaborative Molecular Property Prediction via Adaptive Small-Large Model Synergy Learning Materials Properties from Scarce Labels and Unlabeled Crystals Liquid Gated Attention Learning Dynamics of Logits Debiasing for Long-Tailed Semi-Supervised Learning Kolmogorov--Arnold against bounded translations Tracing distinguishability through transformer processing with stochastic LayerNorm BAITBENCH: Measuring Agent Reward Hacking with Optional Shortcuts Planted in ML Tasks E-Commerce Bench: Evaluating LLM Agents on Long-Horizon Autonomous Business Operation Functional Degeneracy in Neural Networks: Measurement and Pruning TDDM-Melatt: A Decoupled Memory and Diffusion Framework for Generalizable Encrypted Traffic Classification Do VLMs Share Safety Neurons Across Modalities? PRACTICE: From Experience to Expertise in Self-Evolving Embodied Agents T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler TrainSDC: Characterizing and Mitigating Silent Data Corruption in Large Language Model Training Reciprocity Separates Gradient Flow from Rotation in Conservative Physical Learning Geometric Attractor Monitoring: A Robust and Frugal Framework for Multi-modal Industrial Robotic Cycles What Emerges and What Breaks in Self-Play Driving Deploying DeepSeek 175B Locally on a Single Consumer-Grade RTX 4060 Laptop with 32GB RAM for 200k-Scale Protein-Ligand Virtual Screening Fine-Tuning Low-Bit Models with Gradient in Quantized Code Space S3C-LLM: Skill-Code Guided Agentic Language Models for Spectrum-to-Structure Elucidation Selection-Aware Stress Testing for Interactive Agents Towards Stream Learning on Embedded Systems: Benchmarking the Memory Consumption of Stream Learning Methods Nonparametric Contextual Pricing and Inventory Learning under Censored Demand Reproducible macroscopic dynamics in a closed-loop human-AI learning system One Policy Is Enough: Single-Agent Reinforcement Learning Outperforms Tree Search for Chemistry Tool Learning Singular Curvature in ReLU Training:Differentiation and the Gradient-Flow Limit Need Not Commute A Universal Context-Reuse Layer for Cross-Model KV Sharing A Human-in-the-Loop Autonomous Agent for Industry Time Series Forecasting Sparse Competition during Training For the Emergence of Specialized Modules Controlling Refusal Behavior of LLMs via Stiefel-Constrained Rotation Steering Language-Informed Flow Matching for Trend-Guided Structure-Based 3D Molecular Generation TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification Normalized Low-Rank Adaptation Rotational Equivariance in Machine Learning: A Comprehensive Tutorial Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-Improvement Universal Transformers for Circuit Computations: Perfect Length Generalization in Tiny Transformers A Model with No Head and Many Thoughts Sycophantic Agreement Transfers with Neutral Data via Contrastive Preference Optimization Stress-Testing Efficient Responsible-AI Evaluation: When Compute Savings Change Benchmark Conclusions On the Complexity of the Compatibility Problem for Succinctly Encoded Conditional Distributions Sharp Approximation Rates for Neural Networks with Affine Latent Parameterizations Constant Individual Regret in General Games Fine-Tuning Qwen3-27B for C-to-Rust Code Translation: A Three-Stage Curriculum of Pretraining, Debugging-Aware SFT, and Task-Specific SFT Privacy-Preserving Detection of Rare Disease-Associated Cell Subsets via Secure Multi-Party Computation Propensity Straight-Through Gradients for Discrete Stochastic Systems The Signal in the Noise: An Auditable Reliability Layer for Biomedical Text Classification Preference Elicitation for Policy Optimization and Application to Aligning Heart Transplantation with Human Values Machine Learning-Enhanced Tabu Search for Tactical Wireless Network Design AutoScientist-Quant: Self-Evolving Coding Agents for Automatic Research in Quantitative Investment Reward-Oracle MCTS for Formal Theorem Proving: Sample-Efficient Search and the Need for Kernel-Level Proof Auditing From Extraction to Governed Memory: Multi-Agent Knowledge Graph Construction with Domain-Expert Review How Language Models Choose Sides: Internal Representations of Instruction Hierarchy Test-Time Scaling for Scientific Equation Discovery FrameScope: Temporal Data Valuation for Stream Active Learning in Autonomous Vehicle Systems AdaptAV: Continuous Adaption of Vision Models for Autonomous Vehicles Using Cloud-based Oracle Distributed Semantic Segmentation With Improved Rate-Distortion Trade-Off Data Diversity, Not Frequency Invariance: A Controlled and Self-Audited Study of Compression-Robust Deepfake Detection ORDDAR: Observation-Driven Reasoning for Distortion-Resilient Decision, Action, and Cognitive Recovery Generation of High-Level Concepts in 3D Scene Graphs via Autoregressive Diffusion Adversarial Calibration Attack on Autonomous Vehicles ASTRA - Agentic System for Ticket Resolution and Analysis Separable Nonnegative Matrix Factorization Using Powered Ratio-of-Norms Regularization Quantitative Target Convergence and Uniform-in-Time Propagation of Chaos for Langevin-Regularized SVGD Representation Learning with Quantum Signal Processing Toward Postural State Classification in Immersive VR with Multimodal Data and Explainability Analysis A rigor-matched audit of periodic-step layer skipping for efficient llm inference: conflayers versus swift, with a supplemental analysis of trained routing alternatives Uncertainty-Aware Multi-Task Learning for Joint Modulation Recognition and SINR Estimation Generative Translation Priors: Bayesian Imaging with Cross-Modality Image Translation MWIR-4-Plastic: The Identification of Complex End-of-Life Industrial Plastic using Mid-wave Infrared Hyperspectral Imaging and Machine Learning Moving the Mean Toward the Known Good, Not Beyond It: What Inference-Time Interventions and Weight Consolidation Buy in Open-Ended Generation mmIR: Frequency-Space Inverse Rendering for 3D Millimeter-Wave Radar ADC Synthesis Leveraging Turn-taking Dynamics for Intent Recognition in Multi-party Conversations The Hallucination Signal Is a Mean Shift: Why Simple Probes Suffice MERIT: Mitigating Exposure Bias in Generative XMC for User-Interest Propensity Modeling Oculi: A Conversational Agentic Platform for Automated Credit Risk Analysis The information geometry of product-reference discrete diffusion: Interaction growth complexity and optimal scheduling From Location Phrases to Geographic Entities: Task-Adapted Retrieval for People Search Brain-Language-Action (BLA) Models: Language-Conditioned EEG for Robotics Control Efficient GPU Retrieval for Semantic Search The Illusion of Replacement: Rethinking Specialized Machine Learning Models in the Foundation Model Era Jigsaw-CRL: Recovering Global Latent Causal Order from Fragmented Multi-Client Interventions Sharp Restricted Isometry Thresholds for Global Minima of Rank-Restricted Matrix LASSO Spectral-Embedded Operator Learning for Three-Phase Interfacial Flow: A Ternary Cahn-Hilliard-Navier-Stokes Benchmark Optimally Selecting Representative Agents from a Metric Space Clustering as Approximation by Constrained Projectors: Theory and Guarantees Emergent Misalignment Is Not Magical APIFlow-Bench: Measuring Whether Agents Survive Long, Dependent API Workflows Uniform Statistical Convergence of Empirical Sinkhorn Potentials with Exponential and Polynomial Dependence on the Regularization Parameter Subtraction-Based Tumor Segmentation and Lesion-Centered pCR Prediction for the MAMA-MIA Challenge Hyper-Fold: Exploring the Expressive Limit of Sequence-Geometry Learning for Proteins via Hypergraph Modeling AdaVLA: Adaptive Step Flow Matching for Training-free Acceleration of Vision-Language-Action Models Validating FKG.in: Soundness Assessment in LLM-Augmented Indian Food Knowledge QCell: Recombining and Aligning Cell Queries for Overlapping Instance Segmentation A-MADiff: Attention-Guided Multi-Agent DRL with Diffusion Policies for Memory-Aware Task Orchestration in Mobile AIGC Networks Sense Once, Serve Many: Common-Trace Factorized Constrained PPO for Online Sensing-Session Consolidation in Multi-Tenant ISAC Networks Signed random Fourier features for fast density estimation with indefinite kernels Learning Simple Test-Time Environments for LLM Web Agents APPSolver: Adaptive Patch Partitioning for Point-Wise Ship Flow Prediction on Unstructured Meshes Spectral Analysis for Sparse Matrix Computation: Insights and Potential Evaluating Tiny Recursive Models Across Training for Code Generation FiLM-GPNet: Geometry-Aware Pseudo-Supervised Phase Restoration with Zero-Shot Generalization for Large Temporal InSAR Stacks Explanations, Prompts, and Formalizations: Arguments for New Norms in LLM-Enabled Mathematical Research A Visual Question Answering Model to Automate Nondestructive Evaluation Image Analysis Polis: 3D Self-Supervision at City Scale Content Exploration Beyond the Feed: Creator Supply and the Shared Corpus Item-Mean Surrogates: Why Richer Persona Data Fail to Improve LLMs as Human Surrogates Benchmark Contamination: A Taxonomy Organized by Defeated Mitigation Deciding When to Decide: Testing Operational Suboptimality Under Distributional Shift ARMOR: Manifold-Oriented Training for Adversarially Robust Aerial Object Detection under Data Scarcity LoGo: Token-Level Dynamic Local-Global Attention TACS: Trajectory-Aware Candidate Selection for LLM Jailbreak Suffix Optimization Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Security $\mathcal{N}_0$-Foundation: Towards the Age of Tactile Intelligence Cross-lingual Functional Vectors for Emotion Detection in Large Language Models Forward-Deployed Full-Stack Engineering for Autonomous Cloud MLOps ButterMamba: Butterworth-Enhanced Spatial-Temporal Mamba for Efficient Traffic Flow Prediction Transformer-Based Flow Shop Scheduling Using MILP-Generated Training Data Neural ODE enhanced linear mixed effect models for estimating complex association patterns of time-varying covariates with the marker trajectory A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification The Price of Intelligence: A Quality-Adjusted Price Index for AI Services Influence-Directed Distillation: Solving the Diversity Bottleneck in Sampled-Token On-Policy Distillation On the Instance Hardness as a Decision Criterion in TinyML Systems Continual Test-Time Adaptation via Entropy Sensitivity-Guidance in Strict Online Setting Towards Continual Test-Time Adaptation of Vision-Language Models in Open-Vocabulary Semantic Segmentation Hallucination Mitigation for Large Vision-Language Models via Implicit Feature Stabilization Compression-Aware Abstention: Teaching LLMs to Refuse When KV-Compression Masks Remove Answer Evidence When Safety Speaks a Language: A Mechanistic Analysis of Safety-Language Identity Entanglement in LLMs Data-Driven Design Optimization of Streaming-Potential-Mediated Electrokinetic Transport of Viscoelastic Fluids in Microchannels EDGE: Engine for Deterministic Graph Evaluation through Conversation Simulation from Graph Structured DSL Configuration An Open-Source, Event-Driven Pipeline for Cryptocurrency Market Data: Ingestion, Forecasting, and On-Chain Fraud Detection Evolutionary Soups: Evolving Mixture-of-Experts for Multi-Objective LLM Alignment Partition-Aware Unlearning for Removing Spurious Correlations in Large Vision-Language Models TEMPO: Temporally-grounded Multi-task Post-training for Large Audio-Language Models Beyond Uncertainty: Multi-Solver Disagreement Rewards for Self-Evolving Reasoning Curricula A Deep Latent Variable Framework for Jointly Modeling Missingness, Measurement Error, and Heterogeneity Balance of Benchmarks: Semantic Density Reweighting for Benchmark Multiplicity and Task-Conditioned Evaluation Mitigating Over-Optimization in PRM-Guided Search in Mathematical Reasoning by Optimizing the Guide Learning Representations through Token Prediction: Geometry, Approximation, and Downstream Guarantees When Does a Classifier Help an LLM? Classifier-Guided Prompting and Hybrid Classifier-LLM Models for Credit-Default Prediction A Hybrid State-Space Approach for Census-Tract Population Estimation A Simple Transformer Pipeline for Full-Key Side-Channel Attacks on Uncropped Datasets Aligning Multi-Trajectory Supervision with Policy Optimization for VLA Driving VIBE: Video Instruction-aligned Background music gEneration Balancing Privacy, Utility, and Safety in LLM Alignment through Preference Optimization The PUR-1 Cyber-Physical Digital Twin Fairness in multi-class multi-group classification problems via contextial coherent risk measures Motus2: A Self-Evolving General World Model for Dexterous Manipulation A Borel Concept Class of VC Dimension One with a Non-PAC Consistent Learner in ZFC Using Prosody to Predict Syntactic Structure Estimating Population-Risk Curves Along Nonconvex Gradient Flows from the Training Sample Dec-BFTRL: Squre-Root Regret for Decentralized Online Upper-Linearizable Optimization under Separation Access with Application to Continuous Submodular Maximization Strengthening Recursive Constructions for Zero-Error Shannon Capacity Beyond Token-Level Guidance: Inference-Time Alignment of Specialized LLMs via Cross-Family Representation Steering Compact and Infinite-Order Error Analysis for Null-Space SVD Estimation Kathleen Remembers: Length-Invariant One-Shot Recall Without Attention Benchmarking External Generalization of SPD Matrix Learning for Resting-State fMRI Connectome Prediction ObjectSplat: Improving Mesh Fidelity and Interactivity for 3D Scenes via Object-Level Mesh Splatting Ceiling-Clipped Acceptance Histograms Indicate Stranded Speed-up in Block-Diffusion Speculative Decoding Lies We Can See: Joint Verbal and Non-Verbal Deception by VLM Agents in Embodied Social Interactions Generalization as a robust performance property of learning-enabled dynamical systems Event-Driven Language Models with Sparse Neural Activity for Neuromorphic Hardware End-to-End Neural Shrinkage of Indefinite Pairwise Correlation Matrices for Small-Cap-Inclusive Portfolios VisER: Visual Evidence and Reliance for Object Hallucination Detection in LVLMs Two Centuries of Sexism in British Parliament: A Computational Analysis of Women's Representation in the Hansard Corpus TSExplorer: An interactive data annotation and exploration tool for time-series data Beamforming Design Via GNN in mmWave Cell-Free Massive MIMO Using Sub-6 GHz CSI Minerals in the Wild: A Hyperspectral-XRF Dataset for Elemental Composition Estimation Informative Label Missingness in Multiclass Classification Information Geometry and Excess Risk Automated Testing of LLM-Based Post Hoc Explainers Using Model Checking as an Oracle Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training GMTS: Gradient Magnitude-based Token Selection Improves RLVR Training for LLM Reasoning Quantum-Grassmann-Plucker Token Mixing for Deep Learning-Based Post-Disaster Damage Assessment BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMs What It Costs to Compose, Rebuild, and Correct Precomputed Memory Fine-Grained Multi Image Object Hallucination Benchmark An Agentic Retrobiosynthesis Framework with Learned Frontier Selection SingProbe Technical Report Conjoint Audio-to-Spikes Encoding and Processing for Efficient Neuromorphic Speech Recognition Uncertainty-Aware End-to-End AI Weather Forecasting: Disentangling Observation and Model Contributions TopoCompress: Long Context Compression via Graph-Wired Semantic Trajectories Linguistic Distance Segregates Latent Representations in Automatic Speech Recognition Systems Safety Screening for Voltage Control in Active Distribution Grids via Distributionally Robust Conformal Screening CoJEPA: Combining Contrastive Learning and JEPA for Global-Local Music Representations Stick to What You Know: A Study of Knowledge-Aligned Supervised Fine-Tuning Learning the Geometry of Admissible Hypotheses through Inductive Bias in Training Distributions Driving on Memory Segmentation of Bovid Dentition Under Imperfect Annotations: A Comparative Study of Convolutional and Attention Models Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents Minimax bounds for watermarked and masked recursive discrete distribution estimation One Adapter, Many Tasks: Task-Conditioned Feature Transformations for Continual Learning LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering "Train classical, deploy quantum" requires rethinking generalization Implementing neural network mixed-effects models in Template Model Builder (TMB) GFlowNets and variational inference Delta-AI: Local objectives for amortized inference in sparse graphical models Expected flow networks in stochastic environments and two-player zero-sum games Amortizing intractable inference in large language models SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNets Understanding Deep Learning via Notions of Rank Adaptive teachers for amortized samplers MEGA: Message Passing Neural Networks for Multigraphs with EdGe Attributes H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications Alert: Learning Trigger Functions for Early Classification of Time Series using Deep-RL You Do Not Fully Utilize Transformer's Representation Capacity RSPO: Regularized Self-Play Alignment of Large Language Models Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems Semantics at an Angle: When Cosine Similarity Works Until It Doesn't Graph Representational Learning: When Does More Expressivity Hurt Generalization? Large-Scale Bayesian Tensor Reconstruction via Approximate Message Passing Watch your steps: Dormant Adversarial Behaviors that Activate upon LLM Finetuning Kronecker Factorization Improves Efficiency and Interpretability of Sparse Autoencoders EquiReg: Equivariance Regularized Diffusion for Inverse Problems Federated Learning for MRI-based BrainAGE: a multicenter study on post-stroke functional outcome prediction Discrete Compositional Generation via General Soft Operators and Robust Reinforcement Learning Training-free LLM Verification via Recycling Few-shot Examples A foundation model with multi-variate parallel attention to generate neuronal activity A Cycle-Consistency Constrained Framework for Dynamic Solution Space Reduction in Noninjective Regression A Conditional GAN for Tabular Data Generation with Probabilistic Sampling of Latent Subspaces StructSynth: Dependency Graphs as Generation Plans for Low-Data Tabular Synthesis with Language Models Agnostics: Learning to Code in Any Programming Language via Reinforcement with a Universal Learning Environment Integrating attention into explanation frameworks for language and vision transformers EEGDM: Learning EEG Representation with Latent Diffusion Model SHAKE-GNN: Scalable Hierarchical Kirchhoff-Forest Graph Neural Network Data-to-Energy Stochastic Dynamics Multi-Marginal Flow Matching with Adversarially Learnt Interpolants MolGA: Molecular Graph Adaptation with Pre-trained 2D Graph Encoder Personalized Treatment Outcome Prediction from Scarce Data via Dual-Channel Knowledge Distillation and Adaptive Fusion Structure-Preserving Physics-Informed Neural Network for the Korteweg--de Vries (KdV) Equation Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment Uncertainty Makes It Stable: Curiosity-Driven Quantized Mixture-of-Experts The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning SpecPV: Improving Self-Speculative Decoding for Long-Context Generation via Partial Verification ScalePRM: Training Process Reward Models by Scaling Verification Compute Without Ground Truth Better World Models Can Lead to Better Post-Training Performance Kascade: A Practical Sparse Attention Method for Long-Context LLM Inference KV Admission: Learning What to Write for Efficient Long-Context LLM Inference Audit Me If You Can: Query-Efficient Active Fairness Auditing of Black-Box LLMs Federated Personalization of Early-Exit Networks Mechanism Shift During Post-training from Autoregressive to Masked Diffusion Language Models Securing Time Integrity in Energy IoT Against Clock Drift and Y2K38 Failures Semi-supervised CAPP Transformer Learning via Pseudo-labeling Universal Redundancies in Time Series Foundation Models Least but not Last: Fine-tuning Intermediate Principal Components for Better Performance-Forgetting Trade-Offs Constrained Group Relative Policy Optimization Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts Reverse N-Wise Output-Oriented Testing for AI/ML and Quantum Computing Systems Efficient Adaptation of ROMs for Unsteady Flows Using Data Assimilation MUSE: A Run-Centric Platform for Multimodal Unified Safety Evaluation of Large Language Models Personalized Group Relative Policy Optimization for Heterogenous Preference Alignment Group Resonance Network: Learnable Prototypes and Multi-Subject Resonance for EEG Emotion Recognition Grammar of the Wave: Towards Explainable Multivariate Time Series Event Detection via Neuro-Symbolic VLM Agents Generalization and Memorization in Rectified Flow Mixture-Greedy for Online Generative Model Selection: Is UCB Necessary in Diversity-Aware Multi-Armed Bandits? Identification of Bivariate Causal Directionality Based on Anticipated Asymmetric Geometries LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models EvoLen: Evolution-Guided Tokenization for DNA Language Model Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models REALM: Reliable Expertise-Aware Language Model Fine-Tuning from Noisy Annotations Perturbation Sensitivity of Maximum-Likelihood Pairwise Ranking in Computational Decision Systems FG$^2$-GDN: Enhancing Long-Context Gated Delta Networks with Doubly Fine-Grained Control Inverting Foundation Models of Brain Function with Simulation-Based Inference AutoREC: A reinforcement learning platform for equivalent circuit model generation AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G Concepts Whisper: Spectral Anti-Concentration and the Dual Geometry of Transformer Representations Asymmetric On-Policy Distillation: Bridging Exploitation and Imitation at the Token Level PairAlign: A Framework for Autoregressive Tokenization via Self-Alignment with Applications to Audio Tokenization OrScale: Orthogonalised Optimization with Layer-Wise Trust-Ratio Scaling ADMM-Q: An Improved Hessian-based Weight Quantizer for Post-Training Quantization of Large Language Models Drop the Act: Probe-Filtered RL for Faithful Chain-of-Thought Reasoning Emulating the Forced Response of Climate Models with Generative Machine Learning World Model Control by Trajectory Reachability Metrics Generalist Graph Anomaly Detection via Prototype-Based Distillation When the Strongest Teacher Is Not the Best Teacher: Student-Centric Answer Selection Locality-Aware Redundancy Pruning for LLM Depth Compression SYNAPSE: Neuro-Symbolic Visual Thought-to-Text Decoding via Topological Semantic Denoising OISD: On-Policy Internal Self-Distillation of Language Models LaRA: Layer-wise Representation Analysis for Detecting Data Contamination in RL Post-Training Riemannian Optimization for Hadamard Products of Low-Rank Matrices Truthful AI Advisors: A Pre-Specified Benchmark for Large Language Model Honesty Under Preference Misalignment GRZO: Group-Relative Zeroth-Order Optimization for Large Language Model Fine-Tuning Mamba-Assisted Non-Markovian Closure for Reduced-Order Modeling GRASP: Geometry-aware Residual Alignment for Scalable Pretraining Data Attribution TriHead-GAN: A Generative Adversarial Network with Triple-Head Discriminator for Carbon Emission Time Series Generation QueryGraph: Reliable Multi-Tool Query Execution Planning via LLM-Based Graph Generation Divide-and-Conquer Modeling for the CTF-4-Science Lorenz Benchmark When Design Rules Break: Benchmark Composition Determines Whether Label Informativeness Predicts GNN Aggregator Choice Bergson: An Open Source Library for Data Attribution A Zero-shot Generalized Graph Anomaly Detection Framework via Node Reconstruction CARE: Context-Aware Ranking Evolution with Executable Scoring Programs for Budgeted Reaction Optimization Learning Generated Controls under Fractured Geometry: Projective Residualization and Variation-Allocation Frontiers WiSP: A Working-Set View of Mixture-of-Experts Serving on Extremely Low-Resource Hardware NeuReasoner: Theory-grounded Mapping of Reasoning Elicitation Boundaries Bayesian Sparse Low-Rank Adaptation for Large Language Model Uncertainty Estimation A Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent Post-Training A Gold-Standard Study of What Makes a Lightweight Game-Playing Agent Strong Activation Steering Transfer to Agents: One Gain Ratio Does Not Identify Potency and Efficacy PRISM Edit: One Vector for All Temporal Answers Decoupled Structure-Feature Alignment via Alternating Optimization for Graph Learning Energy-Based Physics-Informed Form Finding for Clustered Tensegrity Structures Seq2Synth: Benchmarking Temporal Fidelity in Synthetic Sequential Tabular Data Spaghetti Architect: A Contamination-Resistant, By-Construction-Labelled, Multi-Language Code Dataset Generator Off-Context GRPO: Learning to Reason on Hard Problems using Privileged Information Are Single-Token Sparse Autoencoder Features Causally Necessary? Layer-Depth and SAE-Family Effects Error Certificates for KV-Cache Eviction via Randomized Design Learning What Matters: Supervising Global Context Pruning with Causal Evidence Sets Synthetic Speech, Real Signal: Paralinguistic Preservation and Cross-Lingual Augmentation via Voice Cloning A2TTA: Anchored-and-Agile Test-Time Adaptation for Evolving Traffic Sensor Networks SERUM: State Extraction and Refinement for User Modeling An Identifiability Theory of Masked Prediction: Mode Blindness and Mask Schedules Conformalized Large Language Models under Configuration Shift Simulation-free and finite-time diffusion model Approximate Speculative Decoding CrystalGRPO: Target-Aligned and Coverage-Preserving Reinforcement Learning for Flow-Based Crystal Structure Prediction From Uncertainty to Failure Attribution: Self-Diagnosing Models for Failure Attribution under Distribution Shift Support Selection Beyond Smooth DAG Exactness: Completion Geometry,Score Margins, and Selective Certificates Correlation flow governs learning at criticality Task-to-Model Optimization for Enterprise LLM Coding Assistants: A Data-Driven Framework for Cost-Optimal Routing When Do Task Vectors Interfere? Mapping the Validity Boundaries of Weight-Space Composition Terminal Symmetry as a Carrier of Asymmetric Process Knowledge: Statewise Refinement for Anytime Verified Construction Scaling Automatic Research Agents via World Models Momentum as Residual-Driven Multiplier Correction for Deep Learning Optimization Reduced Matrix Multiplication: Input-Adaptive Matrix-Product Reduction for LLM Inference Large Discovery Models: Empirically-grounded Model-Based Open-Ended Search Machine Learning and ARIMA Model Averaging for Adaptive Public Health Forecasting: Comparative Evaluation and an Ontario COVID-19 Case Study In-Cell Learning: Language Models That Update Their Own Weights in Sequence Without Changing the File They Ship Reinforcement Learning on Benign Facts Amplifies Leakage of Memorized Private Data Who Should Teach? Confidence-Aware Dual-Teacher Learning for Few-Shot Node Classification on Text-Attributed Graphs Mol-JEPA: A multimodal Joint Embedding Predictive Architecture for Molecules CatchBench: When Can an Agent Failure Be Caught? Every Layer Counts: An Exponential $L_2$ Depth Hierarchy for ReLU Networks Enhancing Bayesian Optimization and Active Learning Through Kernel Diversity FAMPWQ: Fisher Information-based Adaptive Mixed Precision Weight Quantization for Effective LLM Inference Demystifying Reinforcement Learning Post-Training of Language Models DeMMO: Longitudinal and Cross-Disease Modelling of Digital Mobility Outcomes via Multi-Task Learning MoPLEx: Estimating Plackett-Luce Mixture Models for Multi-Objective Alignment Frequency-aware forecasting for short-term typhoon gust prediction It's a matter of timescale: non-linear utility in successor features and multi-objective planning and learning ICON Decomposition: Auditing Deep Neural Networks with Multivariate Variance-based Concept-level Explanations A Unified Framework for Fair and Personalized Decentralized Learning under Communication Constraints QuantumBoostNet: Hybrid Classical-Quantum Cardiac View Identification Beyond Parallel Blindness: Information Floors and Model Gaps in Block Drafting Deriving Scaling Laws for OpenEuroLLM Models: Learning Rate, Batch Size and Loss Deep graph kernel point processes over networks Simulation-Based Evaluation of Energy-Constrained Quantum-Classical Competition PhyloGFN: Phylogenetic inference with generative flow networks Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation Model Selection and Parameter Estimation of One-Dimensional Gaussian Mixture Models Learning diverse attacks on large language models for robust red-teaming and safety tuning Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval Autoencoders in Function Space Classification Drives Geographic Bias in Street Scene Segmentation Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks An Efficient Sparse Fine-Tuning with Low Quantization Error via Neural Network Pruning Trust Under Siege: Label Spoofing Attacks against Machine Learning for Android Malware Detection Mirror Descent Linearized Augmented Lagrangian Methods for Nonconvex Constrained Stochastic Zeroth-Order Optimization mRNA Design and Optimization with Deep Knowledge-Infused Approach Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Test of partial effects for Frechet regression on Bures-Wasserstein manifolds PERK: Long-Context Reasoning as Test-Time Learning Language-Guided Tuning: Configuration Optimization for Automated ML Research Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection SPADE: A Large Language Model Framework for Soil Moisture Pattern Recognition and Anomaly Detection in Precision Agriculture DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures TPSO: Training-Free Diverse Image Generation via Semantic Prompt Embedding Optimization SpIDER: Spatially Informed Dense Embedding Retrieval for Software Issue Localization Diffusion Models in Simulation-Based Inference: A Tutorial Review Fitted Q-Evaluation without Bellman Completeness via Occupancy Weighting Soft Fitted Q-Iteration without Bellman Completeness: Occupancy Reweighting and Temperature Annealing X-Coder: Advancing Competitive Programming with Synthetic Tasks, Solutions, and Tests Tracing the Latent Threads: A Mechanistic Study of How LLMs Represent and Operationalize Race and Ethnicity Cues Social Caption: Evaluating Social Understanding in Multimodal Models Learning to Optimize by Differentiable Programming Unknown Unknowns: Do Hidden Intentions in LLMs Evade Detection? Diverse via bounded Agreement: Geometric Regularization for Multimodal Fusion Beyond Dense States: Sparse Transcoders as Causally Testable Operators for LLM Latent Reasoning Efficient reduction of stellar contamination and noise in planetary transmission spectra using neural networks Edge-Local and Qubit-Efficient Quantum Graph Learning for the NISQ Era AI-Generated Measurements for Identification and Inference with Missing Data: A Weak Shadow Variable Approach DesignAsCode: Bridging Structural Editability and Visual Fidelity in Graphic Design Generation Prediction-Powered Conditional Inference NanoVDR: Distilling a 2B Vision-Language Retriever into a 70M Text-Only Encoder for Visual Document Retrieval PA3: Policy-Aware Agent Alignment through Chain-of-Thought Interpretable Predictability-Based AI Text Detection: A Replication Study Model Selection and Parameter Estimation for Multidimensional Gaussian Mixture Models with a Common Covariance Matrix Accelerate Vector Diffusion Maps by Landmarks PeopleSearchBench: Evaluating AI-Powered People Search Platforms with Criteria-Grounded Verification Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofing Operator Learning for Predicting Bulk Wave Parameters of Spectral Wave Models SynMulti: Synthetic-to-Real Learning for Multimodal Video Understanding VeriX-Anon: A Multi-Layered Framework for Mathematically Verifiable Outsourced Target-Driven Data Anonymization Performance Manipulation: Labor Market Implications in AI-assisted Era Large language model-enabled automated data extraction for concrete materials informatics When Chain-of-Thought Fails, the Solution Hides in the Hidden States Learning the Channel Gain from Anywhere to Anywhere via Cross-environment Transformer Estimators Robust Multi-Agent LLMs under Byzantine Faults Operator-Guided Model Reduction for Generative Sampling in Lattice Field Theory Making the Discrete Continuous: Synthetic RAW Augmentations for Fine-Grained Evaluation of Person Detection Performance in Low Light SciAtlas: A Computable Atlas of Science for Knowledge-Grounded AI Research Physics-Guided Concentration Inference from Resistance Transients in a Mixed-Phase SnO-SnO$_2$ Carbon Monoxide Sensor with p-n Switching Summoning the Oracle to Slay It: Mitigating Look-Ahead Bias in Financial Backtesting with Large Language Models Measuring the Depth of LLM Unlearning via Activation Patching Correcting test set contamination by spiking the training data Universal Activation Verbalizer: A Unified Framework for Cross-Model Activation Explanation Zipping the Thought: When and How Compressed Reasoning Data Works in LLM Post-Training Extracting Small Translation Specialists from LLMs by Aggressively Pruning Experts Privacy-Enhanced Zero-Order Federated Learning via xMK-CKKS over Wireless Channels When Should Models Change Their Minds? Contextual Belief Management in Large Language Models Exploring Autonomous Agentic Data Engineering for Model Specialization Self-Correction Can Amplify Hallucinations: Fact-Level Repair with Graph-Based Evidence Routing in Multimodal Generation DASH: Dual-Branch Score Distillation for Guidance-Calibrated Compact Diffusion Models Don't Read Everything: A Curvature-Conditioned Query for Linear Attention Evolving Agents in the Dark: Retrospective Harness Optimization via Self-Preference CrowdMath: A Dataset of Crowdsourced Mathematical Research Discussions Twelve quick tips for designing AI-driven HPC workflows How Small Can You Go? LoRA Fine-Tuning 270M-8B Models for Merchant Information Extraction in Financial Transactions From AGI to ASI PEAR: Permutation-Equivariant Adaptive Routing Multi-Agent Debate In LLM Reasoning, there is Irrationality on top of Value Misalignment FracEvent: Event-Camera Simulation via Fractional-Relaxation Pixel Dynamics MultiHashFormer: Hash-based Generative Language Models J-LAW: Joint Localization and Action-Conditioned World Modeling via Coupled Latent Factor Graphs Self-Organized Conformal Prediction: Reducing Regional Coverage Gaps with Unsupervised Group Discovery Cultural Bias Without a Cultural Self:A Disassociation Study of LLM's Persona and Bias Runtime Safety Filtering for Learned Small UAS Separation Policies under GNSS Degradation Posterior Variance Is a Constraint Map, Not an Error Map: Closed-Form Uncertainty for Radiative Gaussian Splatting in Sparse-View CT RegionFM: Interpretable Region-Based Brain MRI Classification Using Foundation Model Embeddings The Value of Depth in Message Passing on Sparse Graphs: A Kesten-Stigum Dichotomy SALT: Salience-Aware Lexical Trie for Long-Context Compression WorldCupArena: Fine-Grained Evaluation of Language Models and Deep-Research Agents on Football Forecasting Action from Adjacent Set in Physical Space Outperforms the Best Prediction in World Models Learning to Trace Seiberg Dualities Fast Trainable Multilinear Bases for Image Compression Dynamically Allocating Evaluation Effort for Model Ranking SDF-Aware Weighting: Adaptive Eikonal Regularisation for Three-Dimensional Level-Set Physics-Informed Neural Networks MITRE-SAGE: A Multi-Agent Cybersecurity Question-Answering Model A Deterministic Constant-Competitive Algorithm for Dynamic Mixture-of-Experts Serving A Comprehensive Review of Large Language Models for Nanophotonics: From Surrogate Modeling to Autonomous Design DELE-w0.5: Inferring Action from Future Latent State for Robotic Manipulation GTA-RAG: Graph-Trajectory-Augmented Reinforcement Learning for Multi-Turn Retrieval-Augmented Reasoning LUCAID: Agentic Multimodal AI for Lung Cancer Precision Pathology SatDL: Jointly Optimizing Data Redistribution and Training for Satellite-Based Distributed Learning Forecasting Weather-Driven Price Dynamics Across Sri Lankan Tea Market Catalogues Towards Reliable, Generalizable, and Specific In-Context Knowledge Editing via Multi-Objective Reinforcement Learning Towards Large-Scale Heterogeneous Data Organization for Scientific Foundation Models: A Nuclear Fusion Case Study RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requests Not to Break, but to Attest: Adversarial Probes for Privacy-Preserving LLM Verification Timing-Aware Repurchase Prediction for Web-Scale E-Commerce: Survival Models for Multi-Surface Grocery RecommendationArxiv cs.AI
DS-Lighting: Making Agent Harnesses Explicit for Data-Science Automation Expert-validated STEM QA A collective capability boundary in frontier large language models on guideline-conformant and case-specific oncology decision-making Statutory AI: Aligning Large Language Models With Legal Norms From Question-First to Analyst-First: Domain-Expert Skills and Verified Knowledge Compilation for Proactive Enterprise Analytics The Signal in the Noise: An Auditable Reliability Layer for Biomedical Text Classification Paper Pilot: A Human-in-the-Loop Expert System for Evidence-Traceable Scientific Manuscript Generation in Applied Sciences The Race between Agentic AI Capabilities and Data Quality Control in Online Surveys CDPR: Counterfactual Advantage-based Credit Assignment for Cost-Aware Sequential Medical Diagnosis SHAPE of Chain-of-Thought in Math Reasoning Leveraging Generative AI to Design Accessible Interactive Visualizations for Undergraduate Mathematics: A Six-Phase Workflow Integrating Triaxial IMU Sensors and Ensemble Learning for Effective Parkinson Disease Severity Classification C3-UniMM: Causal Cycle-Consistent Unified Multimodal Modeling via Super Alignment and Shared Decoding Space MedTVL: Harnessing Vision and Language for Medical Time Series Classification RegDivergence-101: An LLM Benchmark for Cross-Jurisdiction Regulatory Contradiction Detection in Life Sciences TPvG: A Moral Decision Framework for Large Language Models from One-Shot to Sequential Feedback InternReviewer & InternAdvocate: Objective Reward and Evaluation for Agentic Reinforcement Learning in Peer Review and Rebuttal Preference Elicitation for Policy Optimization and Application to Aligning Heart Transplantation with Human Values Machine Learning-Enhanced Tabu Search for Tactical Wireless Network Design CDEP Agent: Connecting Meteorologically Detected Temporal Compound Events to Real-World Documentary Evidence CrossAudit: A Git-Native, Cross-Vendor Audit Loop for Agentic Science AutoScientist-Quant: Self-Evolving Coding Agents for Automatic Research in Quantitative Investment AI Scientist Mission Control (AIMC): Visual Analytics for Human Oversight of Autonomous Scientific Discovery Self-Evolving Skills via Surrogate-Guided Solve-and-Reproduce Reward-Oracle MCTS for Formal Theorem Proving: Sample-Efficient Search and the Need for Kernel-Level Proof Auditing From Extraction to Governed Memory: Multi-Agent Knowledge Graph Construction with Domain-Expert Review BiasMix-Finance: Post-Generation KYC Guardrails for LLM Portfolio Advice Self-Specialized Teachers for Domain Post-Training How Language Models Choose Sides: Internal Representations of Instruction Hierarchy A Generalized Optimization Engine (GOE) for Edge AI Inference Acceleration FRAC-MAS: A Safe and Explainable Multi-Agent System for Fracture Diagnosis ORDDAR: Observation-Driven Reasoning for Distortion-Resilient Decision, Action, and Cognitive Recovery Beyond the Answer Key: Robustness Evaluation of Large Language Models for Step-Level Mathematical Verification Pro-Router: Token-Aware Progressive Model Routing with Adaptive Edge-Cloud Collaboration for Efficient Multimodal LLM Inference PermitGPT: A Unified Generative-AI Pipeline for Construction Hazard Forecasting, Permit Prediction, and Community Impact Efficient Geothermal Well-Control Optimization via Diffusion-Surrogate Reinforcement Learning Enhancing SAE-based Steering via Neighbor Integrated Feature Selection Capability-Stratified Degradation in Ternary Language Models Explainable Artificial Intelligence (XAI) in Computational Pathology: Definitions, Taxonomy, and Recommendations Discovering Machine Correlates of Consciousness Evaluating the Hidden Costs of Personalization in Large Language Models MineCEraft: Evaluating Language Models as Construction Engineers in the World of Minecraft Oculi: A Conversational Agentic Platform for Automated Credit Risk Analysis Automated Researchers Can Reliably Mitigate Alignment Failures From Location Phrases to Geographic Entities: Task-Adapted Retrieval for People Search Efficient GPU Retrieval for Semantic Search From Analytics to Tumor Boards: An Evidence-Linked Multi-Agent Workflow for Oncology Feature Extraction The Role of Network Topology and Opponent Information in Shaping Cooperation in Multi-Agent Reinforcement Learning Systems Selective Forgetting: A Graph-Based Memory Framework for Long-Term LLM Agents Agentic AI uncovers conserved cross-tissue protein co-abundance programs inaccessible to single-dataset analysis Verification abundance, adjudication scarcity: what happens to mathematical knowledge when proof checking becomes free Multi-Step Forecasting of Grape Berry Temperature based on LSTM Model with Feed-Forward Attention Frequency Selective Neural Networks as a Foundation Architecture for Time Series Learning Disentangling Representation using Attributes-based Gaussian Estimation for Medical Sound Diagnosis Facts Without Rules: Boundary Metadata Collapse in Multi-Agent LLM Handoffs Learning to Follow In-Context Watermark Instructions via Self-Distillation EmoLASP: Emotion Recognition with Language Models and Answer Set Programming Let Prompts Bridge Defense Knowledge: Transferable Graph Purification via Vulnerability-Aware GPL Agent2UCB: Agentic System for Generative Engine Optimization Revolutionizing Turn-by-Turn Navigation with Cloud-Edge Deep Learning Nested Convex-Body Chasing for Online Optimization with Evolving Feasible Sets HANIA: Planner-Guided Multimodal Graph Evidence Selection for Grounded Question Answering EviAnchor: Mitigating Hallucinations in Large Vision-Language Models via Regional Visual Evidence Compensation SafeAtlas-VL: Beyond Binary Multimodal Safety with Large-Scale Data and Guard Models Clustering as Approximation by Constrained Projectors: Theory and Guarantees Emergent Misalignment Is Not Magical Beyond Correctness: Validity-Oriented Evaluation of Biomedical LLM Judges APIFlow-Bench: Measuring Whether Agents Survive Long, Dependent API Workflows More Perspectives, Stronger Signals: Multi-Perspective Enhancement and Progressive Fusion for Multimodal Entity Representation Learning JudgePanel: A Compact Judge with Panel Deliberation via Adaptive Multi-Reward Reinforcement Learning An Explainable Coherence Score for Detecting Temporal Inconsistencies in Political News How Identity and Opinion Shape Political Sycophancy in LLMs Benevolent Bias in Multi-Turn Human-Agent Dialogue Hyper-Fold: Exploring the Expressive Limit of Sequence-Geometry Learning for Proteins via Hypergraph Modeling Imag-Eval: a language-grounded framework for interpretable Text-to-Image instruction following evaluation Computational Depth Measurement in Thermographic Video: Overcoming Spatial Overfitting via Spatio-Temporal Decoupling Localizing Emergent Failures in Agentic AI: Recovering Minimal Repair Families via Counterfactual Replay Validating FKG.in: Soundness Assessment in LLM-Augmented Indian Food Knowledge GuardianAgent: Policy-Conditioned Risk-Adaptive Anonymization with Verified Adversarial Escalation Dynamic Important Example Mining for Reinforcement Finetuning RACER: Reinforced Agent Collaboration for Explainable Reasoning on Knowledge Graphs EpaCache: Error-Propagation-Aware Caching for Accelerating Diffusion-Based Visual Generation Understanding Deep Learning via Entropy Space Theory MMPCBench: Benchmarking Multimodal Large Language Models on Proactive Critique of Flawed Inputs Accelerating Unified Multimodal Models with Core-Expansion Routing and Unified Computation Scheduling Predicting Future Organ Dysfunction in ICU Patients Using Temporal Convolutional Networks on MIMIC-IV Data Formal Concept Analysis with Three Types of Negation BIRD-History: A Benchmark for History-Driven Text-to-SQL with Fine-Grained Knowledge Annotations Extending TotalSegmentator: Predicting Patient and Acquisition Characteristics from CT and MR Images Cross-Relational Preference Learning for Better LLM Instruction Following APPSolver: Adaptive Patch Partitioning for Point-Wise Ship Flow Prediction on Unstructured Meshes Plant-Inspired AI: Plants as Inspiration for Novel Problem Formulations, and Two Case Studies LiteSearch-VL: Small Multimodal Search Agents via Trajectory Distillation and Synthetic Step-DPO TRACER: Per-Tool Context Retention for LLM Agents via Consequence-Attributed Reinforcement Learning Reviving our data foundations is the most disruptive step to data maturity FORESIGHT-9: Prospective and Process-Aware Evaluation of Adaptive Trading Agents Evaluating Tiny Recursive Models Across Training for Code Generation EvoGenUI-Bench: Evaluating LLMs as Multi-Turn Generative UI Assistants Toward Latent Language Model Skills Steering and Optimization: An Empirical Study Can escalation channels redirect reward hacking toward defect disclosure? Call Neighbours Yourself: Graph Walks with Destination-Conditioned On-Policy Self-Distillation Not Safe for All: Auditing the Dialect Penalty in Text-to-Image Safety Pipelines Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Security LLMs Interpret, Embeddings Organize, Graphs Emerge: Agent-Driven Compilation of Scientific Knowledge Detect Before You Attribute: Cascade Failure Attribution for Multi-Agent Systems Ideation Arena: Evaluating LLM Generated Research Ideas with Battle-style Human Expert Assessment PAGE-RAG: Provenance-Aware Graph Evidence Promotion for Fixed-Budget Multi-hop Retrieval-Augmented Generation FRAMEWORKERS: A Dynamic Multi-Agent Framework for AI-Generated Video Production Perceive to Hypothesize, Verify to Ground: An Agentic Reasoning Framework for Open-World Geo-Localization On the Instance Hardness as a Decision Criterion in TinyML Systems AcrossWAM1.0:A Modular Latent World-Action Stack for Compact Robot Policies Spatial Matryoshka Training for Multi-Granularity Visual Document Retrieval SearchWiki: Learning to Build and Navigate Knowledge Wikis for Active Information Seeking Review Before Trust: Source-Grounded Integrity Gates for AI-Assisted Personal Health Records EDGE: Engine for Deterministic Graph Evaluation through Conversation Simulation from Graph Structured DSL Configuration An Open-Source, Event-Driven Pipeline for Cryptocurrency Market Data: Ingestion, Forecasting, and On-Chain Fraud Detection AutoCRAT: Within-trajectory Joint Control of Stochasticity and Compute for LLM Reasoning Automatic Conversion of NICE Guidelines to an Executable Computational Model Using Large Language Models Interpreting and Steering for Safe and Correct Code Generation Beyond Uncertainty: Multi-Solver Disagreement Rewards for Self-Evolving Reasoning Curricula Balance of Benchmarks: Semantic Density Reweighting for Benchmark Multiplicity and Task-Conditioned Evaluation Can LLM Agents Discover? Evaluating Creativity on ML Engineering Tasks Spec2Twin-Chain: Orchestrating Bi-Level Optimization with LLMs for Blockchain Digital Twin Construction Mitigating Over-Optimization in PRM-Guided Search in Mathematical Reasoning by Optimizing the Guide Game-Agnostic Value Functions through Automatic JSON Feature Extraction VERA: Authority-Preserving Edge Revocation for Federated AI-Agent Workflows A.X K2 Technical Report FaVOR: LLM-Based Agentic Framework for Factor Mining via Empirical Validation SPARK: Skeleton-Guided Reasoning Synthesis from Large-Scale Scientific Literature LaMoC: Loss-Aware Modular Compression for LLMs Rethinking the Test-Time Prompt Tuning Objective from the Perspective of Calibration CoLa-ICD: A Knowledge-Enhanced Framework for Long-Tail Automated Medical Coding LLM-Based Knowledge Graph Completion Combining Discrete Structural Coding with Similar Entity Information Generating Workflow DAGs from Natural Language with Non-Reasoning LLMs SimCRAFT: Distilling Remote Sensing Agents via Synthetic Trajectories and Contextual Retrieval-Augmented Fine-Tuning Ignorance or Incompetence? Constructing Knowledge-Gated, Verifiable Tasks for LLM Agents Answer Probing-Guided Search for Diverse Solution Exploration of LLMs Co-Annotator: Expert-Distilled ViT and VLM for Visual and Documentation Guidance in Age-Related Macular Degeneration Will the User Ever Know? Covert Indirect Prompt Injection Attacks on Tool-Using LLM Agents Augmenting Human Performance with an XR Agent Learning from Online Behavior and BCI Evidence Scaffolding Foundation Models into Physical-World Agents Pushes the Frontier of Long-Horizon Navigation Dense Clinical Contrasts Enhance Medical Knowledge Updating in Large Language Models DERELAB: Probing Defeasible Reasoning and Confirmation Bias in LLMs with a Generative Benchmark From Metaheuristics to Exact Methods: A CP-SAT Approach for Multi-Objective Healthcare Workforce Scheduling EvoSkill Injection: Red-Teaming Autonomous Skill Generation and Evolution in Self-Evolving Agents CHASE: How Content Ecosystems Are Reshaped When Ranking Is the Only Target CM2: Multimodal Cultural Reasoning via an Integrated Multi-Agent Framework ScienceArena: Benchmarking LLMs on Latest Scientific Olympiad Competitions Learning-Assisted Congestion-Aware Route Scheduling for Semiconductor Fab Material Control Systems DiffPDE: Masked Diffusion Language Models as PDE Solver Designing an Auditable LLM-Supported Workflow for Qualitative Thematic Analysis GarmentWeaver: Schema-Aware Structured Synthesis for Multimodal Sewing Patterns AdaPath: Query-Adaptive Path-Finding via Path-Bank for Multi-Hop Implicit Biomedical KGQA TuringLLM: Efficiently Scaling Foundation Models Toward Physical AI Automated Testing of LLM-Based Post Hoc Explainers Using Model Checking as an Oracle Geometry of Divergence: Tracking Hidden-State Trajectories for Adaptive Multi-Turn Reasoning PyKEEN-NSX: A Modular Framework for Static, Dynamic and Schema-Aware Negative Sampling in PyKEEN HiRS-Agent: A Hierarchical Multi-Agent System for Reliable Long-Horizon Remote Sensing Task Solving MedAgent-R1: Faithfulness-Aware Reinforcement Learning for Evidence-Grounded Medical Reasoning ATLAS: Dual-Horizon Diagnostic Evaluation for Industrial Tool-Use Agents Multimodal Adaptive Expert Selection with Text Routing and Ordinal Prototype Optimization for Sentiment Analysis Autoregressive Mosaics: Probing 2D Spatial Reasoning in Text-Only Language Models Which Rules Matter Now? Policy-Centroid Routing Before an Intelligent System Acts SkillZip Pro: Execution-Aware Dynamic Compression of Progressively Loaded Skills for Self-Evolving Agents HSRM: Hidden-State Reward Models for Test-Time Verification VFR-Audit: Verdict-Level Reliability for Fairness Audits in Hospital Length-of-Stay Prediction Predicting Residential Rents in Dakar Using Machine Learning CAER: Causal Action Effect Reweighting for World Model Training Responsible Integration of AI in Cancer Genomics: Barriers, Risks, and Pathways to Trustworthy Clinical Translation CARVE: Verified Expansion for Variable-Length Generation in Diffusion Language Models Learning Action Models with Conditional and Quantified Effects via Uncertainty-Guided Exploration MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents Measure Before You Manage: Evaluating Agent Working Memory in Coding Agents Wrong Prediction, Right Answer: Recovering Evidence from Collapsed LLM Sequence Scores Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence Reconciling Process Supervision with Outcome-Based Credit in Agentic Policy Optimization Token-Efficient Data Reasoning Agents via Adaptive Structuring of Unstructured Data Cross-Regional Grapevine Cold Hardiness Prediction via Learned Multimodal Latent Representations BLOOM-WILT: Logit Tilting for Behaviour Elicitation in Automated LLM Auditing When Does Bigger Help? A Controlled Study of LLM Scale for Ontology Learning OntoAligner-Ensemble: Voting-Based Fusion across Heterogeneous Ontology Alignment Techniques Agent-Based Model Framework for the North Carolina Modeling Infectious Diseases Program (NC MInD ABM) Overview, Design Concepts, and Details Protocol PowerSlider: Exploiting Phase Asymmetry for LLM Serving under Demand Response NLP-Driven Knowledge Extraction and Thematic Classification of Translated Ancient Indian Medical Texts Parametric Multimodal User Memory: Storing What Captions Cannot Carry Gurukul AI: An Interactive AI-Driven Educational Platform for Indian Education System STAGEET: Stage-wise Typed Edit Tagging for Grammatical Error Correction with Arabic as a Case Study From GenAI Virtual Patient Dialogue Logs to Teacher-Interpretable Process Evidence: A Learning Analytics Study in Higher Education PUFFER: Incremental Fuzzy Deduplication for Continuously Evolving Corpora Looking Again: Measuring Sycophancy in the Reasoning Chains of Multimodal Models Under Pressure MA-RAG: Multi-Agent Retrieval-Augmented Generation for Query-Driven Summarization of Longitudinal Parkinson's Disease Assessments Asymmetric Within-Document Predictive Learning for Scientific Document Representation Do large language models scrutinise what they review? A multimodal audit of scoring calibration, error detection, and author-identity effects Intelligent Identification and Repair of Design Defects in BIM via Domain-Specific Large Language Models Enabling Proactive Spoken Turns via a Generalized Style-Aware Full-Duplex Framework PAUSE: Editable Strategy Artifacts for Long-Form Cultural Story Adaptation Do MLLMs Really Understand Low-Resource Khmer Documents? A Pilot Study on Khmer Document VQA PromptKWS: A Novel Prompt-Guided Open-Vocabulary Keyword Spotting Framework Terminal-Bench-LILT: Multilingual Agentic Coding Benchmark Grounded in Language, Region, and Culture Redesigning and Auditing Deep Research Writing for Faithful Reports Cross Lingual Transfer in Tulu Legal Comprehension: Script-Dependent Improvement and RAG-Induced Knowledge Conflict Can Large Language Models Identify Meaningful Touchpoints in Conversion Attribution? Test-Time Scaling for Scientific Equation Discovery GreenBench: Benchmarking Energy Efficiency and Carbon Footprint of Open-Source LLM Inference on Apple Silicon Measuring Similarity between Artistic and AI Generated Images using Siamese Neural Networks Defending Wearable VLMs Against Private Attribute Inference RoboPhys-3D: A Comprehensive Embodied World Model Evaluation via 3D Reconstruction Peer Oversight in Collective Decision Making ASTRA - Agentic System for Ticket Resolution and Analysis The reach of a verification tool decides its value: A controlled study of verification surface, artifact quality, and cost in AI coding agents A Large-scale Evaluation of Text-guided Models for Facial Editing FigMirror: Ground It, Code It, Plot It Text-Driven Artistic Staging: Pose, Lighting, and Camera References from Paintings Representation Learning with Quantum Signal Processing Delegating Before Learning: Where Generative AI Sits in Students' Professional Communication Curvature Cryptanalysis of Smooth Transformer Feed-Forward Networks Toward Postural State Classification in Immersive VR with Multimodal Data and Explainability Analysis A rigor-matched audit of periodic-step layer skipping for efficient llm inference: conflayers versus swift, with a supplemental analysis of trained routing alternatives Equivariant Sheaf Neural Networks: Learning Geometric Transport on Graphs The Halt Vector: Internalizing a Causal Steering Intervention for Efficient Reasoning No Detectable Change in Side-Level WER from Prompt-Level Context: A Preregistered Ablation on a Production Oral-History Corpus Hybrid Offline-Online Multi-Agent Decision Transformers for Wireless Resource Management Moving the Mean Toward the Known Good, Not Beyond It: What Inference-Time Interventions and Weight Consolidation Buy in Open-Ended Generation Structured State Reconciliation for Human-AI Task Handover ActiveAugment: Online Active Learning for Augmentation Selection in Deep Learning The Hallucination Signal Is a Mean Shift: Why Simple Probes Suffice From the Loss Landscape to Diverse Feature Learning in Neural Networks The information geometry of product-reference discrete diffusion: Interaction growth complexity and optimal scheduling Diagnose, Then Refine: A Closed-Loop TTS System with AudioLLM-Guided Correction Free Speech and Artificial Intelligence The Illusion of Replacement: Rethinking Specialized Machine Learning Models in the Foundation Model Era RoSe-SLAM: Robust Semantic-Aware Gaussian Splatting SLAM from Dynamic Monocular Videos Flow-JEPA: Flow Matching for Robust Latent Dynamics in JEPA World Models A Unifying Perspective on Language Model Representations: From Filler-Role Structure to Mechanistic Interpretability DocIntent: Answerability-Guided Agentic Restoration for Real-World Document Visual Question Answering Not All or None: Dynamic Construction of Target-aware Memory Graph for Conversational Stance Detection Development of an Autonomous AI Coding Agent using Monte Carlo Tree Search (MCTS) and Gemini LLM Frameworks Auditing and Mitigating Privacy Leakage in Cloud-Edge Collaborative Decoding CGFM-Nav: Cognitive Graph-Field Memory for Semantic-Guided Lifelong Multimodal Embodied Navigation HEAR Who Said What: Unlocking Speaker-Attributed Reasoning via Counterfactual Voice Grounding Not the Same Protector: Deployment-Dependent Protective Intervention in LLMs STARLINC: Satellite Trail Artifact Removal using Inter-Frame Correlation Training-Free Hidden-State Refinement for Flow-Matching Image Generators Subtraction-Based Tumor Segmentation and Lesion-Centered pCR Prediction for the MAMA-MIA Challenge TAAL: Mitigating Early Beam Pruning in Generative Recommendation via Temporal Autoregressive Alignment Locked at the Entrance, Open Inside: Where RLVR Narrows the Solution Space Rate-Coding Bundle Memory: A Unified Model of Memory and Control for Symbolic Computation in the Brain PokaiTrainer: Scaling Belief-State Search to Competitive Pok\'emon VGC AgentLogs: A Dataset for Opening the Black Box of GitHub's Cloud Agent Background-Free Objectness Learning for Class-Agnostic Detection AGRICAM: A Track-Mounted Crop Pollination Monitoring Robot QCell: Recombining and Aligning Cell Queries for Overlapping Instance Segmentation Adaptive Multi-Branching for Shallow Decision Tree Induction Measurement Validity in LLM Cultural Alignment SHADOWBENCH: Toward Reliable Automatic Evaluation of Semantic Alignment in Autoformalization RAGDiffusion++: From Macro-Retrieval to Micro-Fidelity Alignment for Garment Generation AOI-Net: Structural Face AOI-Guided Eye-Gaze Track Representation Learning for Autism Spectrum Disorder Detection When Do Larger Batches Help Scale LLM Reinforcement Learning? Learning Simple Test-Time Environments for LLM Web Agents Detecting and Repairing Hallucinations in Retrieval-Augmented Generation Improving Randomized Metric Distortion to 2.3282 Evaluating LLM-based AI agents integrated with materials synthesis tools: the case of atomic layer deposition Super Library Agent: Joint Generation and Maintenance of Multiple Applications Beyond the Single Codebase Hyper3-CLIP: Hierarchy-Conditioned Hyperbolic Vision-Language Training SGE: Semantically-Guided Exploration for Unstructured Environments via Image-Space Waypoint Sampling StageWell: A Process-Aligned Chinese Corpus for Positive-Psychology Support Dialogue Arabic Safety Alignment as Selective Refusal: An Empirical Study of SFT, DPO, and Guard Calibration Safe to Resume? Breaking Execution Continuity of Agent Execution via Rollback Fully Distributed GNE Algorithms for Multi-Robot Placement without Consensus on Multipliers Scalable Clinical Data Infrastructure and Comparative ML Evaluation for Hospitalisation Risk Prediction in Elderly Patients with Multiple Long-Term Conditions using CPRD Polis: 3D Self-Supervision at City Scale Does Latent Planning Survive Point Clouds? Action-Conditioned JEPA World Models for Geometric Observations SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learning AI Can Be Easily Persuaded in Clinical Decision Making Reference-Grafting Matches Fine-Tuning at Eliciting Sandbagged Capabilities Benchmark Contamination: A Taxonomy Organized by Defeated Mitigation Chain-of-Thought Faithfulness of Reasoning Models Varies with Where and How Preference Cues Are Delivered Knowledge Distillation under Teacher Misspecification: An Order-Parameter Analysis of the Gap between Teacher Mimicry and Task Performance MUDDLE: Measuring Understanding of Documents under Distractor and Length Effects Applications of Risk Science to AI Fairness Evaluation: Principles, Challenges, and Best Practices Generalizable Multi-Agent Planning from Signal Temporal Logic Specifications via Diffusion Denoising as Projection: Constrained Optimization with Gradient-Guided Diffusion On the Plasticity Collapse in Continual Machine Unlearning Argument-Aware Semantic Alignment of Normative Texts: A Toulmin-Based Neuro-Symbolic Approach The Emergent Symbolic Structure of Artificial Neural Networks Integrating adaptive human behavior into epidemic models with large language models AGM: Achievement-Grounded Memory for Closed-Loop Agents with Frozen VLA Policies Evaluating LLMs on Conversational Text-to-SQL under Chain Ambiguity and Intent Drift PhysWave: Physics-Guided Latent Diffusion Models for Controllable Spatial Audio Generation HoopMind: A Real-Time Neural Game-Tree System for Opponent-Aware Possession Planning SUP-MIMIC: A Multi-Task Clinical Diagnosis Benchmark for Evaluating LLMs' Robustness to Contradictory Evidence Wide Learning: Learning to Reach Evidence Forward-Deployed Full-Stack Engineering for Autonomous Cloud MLOps Memory-First Fact-Checking: A Knowledge-Graph-Grounded Multi-Agent System for Misinformation Detection CineForge: Self-Improving Agents for Long-Horizon Video Generation AgenticRag-R1: Agentic Reinforcement Learning with Stack Memory for Multi-Step Reasoning, Retrieval and Memorizing MI-Distillation: Selecting from Model-Interpolated Instruct-Reasoning Data Spectrum for Chain-of-Thought Distillation LLMODE: Aligning ODEs with LLMs via Gated Token Injection for Irregular Spatio-Temporal Forecasting Conducting Stylistic Analysis of Paintings through an Art-History Agent Cost-Effective Repository Exploration for Agentic Issue Localization MedSegBenchmarker: A Raw-Count-First Framework for Controlled 2D Medical Image Segmentation Benchmarks A Calibration Audit of Confidence in Feed-Forward 3D Reconstruction Higher-Dimensional Rotary Position Embedding SynCrash: A Multi-Stage Pipeline for Zero-Shot Accident Detection and Localization in Traffic Surveillance Video R$^2$A: Learning Persona Policies Through Persona Representation Learning and Runtime Alignment REIGN: Refurbished Embeddings with Integrated Guidance Networks for Efficient Context-Length Scaling INTERVenE: Temporal-Abstraction-Interval Based Transformers for Short-Horizon Medical Event Prediction When Less is More: Understanding When Token Filtering Helps and Fails in AI-generated Text Detection IndicDetect: Evaluating Cross-Lingual LLM-Generated Text Detection for Hindi, Telugu, and Tamil Sleight of Word Benchmark: Can Language Models Notice If Their Own Output Was Tampered With? Hallucination Mitigation for Large Vision-Language Models via Implicit Feature Stabilization Influence Is Not Authority: When Causal Guardrail Signals Make Legitimate Tool Use Look Like an Attack in Tool-Using LLM Agents The Policy Deficit in AI x Social-Emotional Learning Research Training-Free Action Correction for VLA Model Failures via Language Feedback Beyond Fluency: A Rubric-Based Benchmark for Evaluating Saudi Dialect and Cultural Competence in Large Language Models Generating Clinical Vignettes that Preserve Cognitive Formulations Partition-Aware Unlearning for Removing Spurious Correlations in Large Vision-Language Models TEMPO: Temporally-grounded Multi-task Post-training for Large Audio-Language Models Error Detection for PET/CT Radiology Reports: Domain-Specific vs Large Language Models "Act Like a 5th Grader" is Not Enough: Bounding Knowledge in LLM-Based User Simulators Reachability-Based Capability Confinement for LLM Agents under Indirect Prompt Injection Forget or Fine-tune? A Comparative Study of Machine Unlearning Strategies for Noisy Label Correction Pak3H: Evaluating the Cost of Cultural Mismatch in LLM Alignment with a Human-Contextualized Urdu Benchmark How do World Models and Policies Compose in LLM Agents? A Joint Spectral and Behavioral Account Arkios: An Open Bilingual English-Nepali Language Model Trained From Scratch, with a Devanagari-Aware Tokenizer Graph4BiLO: Graph Neural Network Approximation for Bilevel Mixed-Integer Linear Optimization AtlasNLP: A Country-Aware Atlas of Dataset Representation in NLP Can LLMs Take the Pulse of the Economy? A Real-Time Evaluation of LLM Nowcasts on Macroeconomic Indicators Aligning Multi-Trajectory Supervision with Policy Optimization for VLA Driving TPR-Attention for Combinatorial Generalization VIBE: Video Instruction-aligned Background music gEneration E-SENS: Exclusion-Sensitive Penalization for Negative-Constraint Retrieval CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation Science sandboxes measure the scientific capability of AI agents SIR: Self-improving Red-teaming for Compute Use Agents Label Semantic Expansion via Label Guided Neural Topic Modeling The Differential Reasoning Router: Operationalizing Cost-Aware LLM Annotation in E-commerce Motus2: A Self-Evolving General World Model for Dexterous Manipulation Beyond Surface Forms: Symbolic Edits as a Test for Logical Reasoning with LLMs Stratified Consistency Distillation for Natural Language Formalization Using Prosody to Predict Syntactic Structure Centering before Pruning: Lightweight Geometry Correction for Diversity-Based Visual Token Pruning in LVLMs Dec-BFTRL: Squre-Root Regret for Decentralized Online Upper-Linearizable Optimization under Separation Access with Application to Continuous Submodular Maximization BCPPO: Bachelier-Inspired Constrained Proximal Policy Optimization for Tail-Risk-Aware Safe Reinforcement Learning CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration ScenePilot: Grow-and-Repair Policy for Text-Driven 3D Indoor Scene Generation Tail-Replay: Escaping the Curse of Linear Attention in Prefix Caching for Hybrid LLMs One AI Signal, Many Human Judgments: A Bayesian Cascade Analysis of AI-based Credibility Indicators in Online Information Spread Online Estimation of Dynamic Origin-Destination Matrices Using Reinforcement Learning with Link-Flow Propagation Guidance Beyond Token-Level Guidance: Inference-Time Alignment of Specialized LLMs via Cross-Family Representation Steering Parallel Time-Band Mixing with Learned Observation-Adding for Robust ASR Front-Ends Beyond Ranking Accuracy: Evaluating LLM-Cited Feature Rationales for Next Basket Repurchase Recommendation PAVE: Predictive Alignment and Value-Guided Evolution for World-Action Policies DASC: Decay-Aware State Compression for Hybrid Linear-Attention Serving PRISM: Predictive Recomposition via Semantic Latent Decomposition for View-invariant Video Representation Learning Using Grounded Theory for Agent Behavior Analysis at Scale TopGQ: Fast GNN Post-Training Quantization Leveraging Topology Information SemPOI-RL: Aligning LLM Semantic Reasoning for Interpretable Out-of-Town POI Sequential Generation ImageCAS-X: a dataset and benchmark for coronary artery segmentation and centerline extraction in coronary CT angiography SePArate: Segmenting Patterns from Defects in Wafer Manufacturing Using Weak Supervision Whole-Slide Image Analysis under Realistic Few-Shot Annotation Protocols ObjectSplat: Improving Mesh Fidelity and Interactivity for 3D Scenes via Object-Level Mesh Splatting Towards Cognitive Process-Aware Proactive Writing Support Lies We Can See: Joint Verbal and Non-Verbal Deception by VLM Agents in Embodied Social Interactions Enhancing Low-Resource Language Reasoning via High-Resource Language Feature Transfer ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation Measuring Memory and Generalization as Separable Geometric Channels: The Topo^2 Framework Tensor Methods for Language Models: From Token Representation to Training, Adaptation, Inference, Compression, and Interpretability Lot Machine: Multimodal Lot Extraction from Auction Catalogs Trajectory-Initialized Neural Double Q-Routing for Large-Scale Overhead Hoist Transport Systems TSExplorer: An interactive data annotation and exploration tool for time-series data Preference Shapes Relevance: Cross-component Hierarchical Semantic Alignment for Personalized Generative Retrieval Q-Strata: Hierarchical Bit Allocation for Mixed-Precision Quantization of Mixture-of-Experts LLMs Collapsibility of Performance Metrics in Clinical Predictive AI DiffSAC: Diffusion-guided Sampling for Consensus-based Robust Estimation Generative Retrieval for E-commerce: Jointly Learning Embedding and Codebook with Same Product Cluster Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training Hidden Threat in Synthetic Data: Covert Targeted Bias Injection through Benign Text Cost-efficient Active Learning for Referring Image Segmentation and Grounding GMTS: Gradient Magnitude-based Token Selection Improves RLVR Training for LLM Reasoning BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMs Fine-Grained Multi Image Object Hallucination Benchmark CoMPASS: Collaborative Molecular Property Prediction via Adaptive Small-Large Model Synergy LCoT-GV: Graph Attention Networks for Verifying Long Reasoning Chains in Large Language Models Learning Materials Properties from Scarce Labels and Unlabeled Crystals Learning Dynamics of Logits Debiasing for Long-Tailed Semi-Supervised Learning An Agentic Retrobiosynthesis Framework with Learned Frontier Selection SingProbe Technical Report RailSyn: Diagnosis-Guided Image Generation for Traceable Data Completion in Railway Foreign Object Detection BAITBENCH: Measuring Agent Reward Hacking with Optional Shortcuts Planted in ML Tasks RailGen: Improving Railway Intrusion Detection via Agent-Guided Small-Scale Foreign Object Generation Calibrating Small Language Models for Claim Check-Worthiness Detection Learning from What You Retrieve: Online RL Fine-Tuning for Semantic Retrieval On the Prospects of Dynamic LLM Conversations in Software Development Conjoint Audio-to-Spikes Encoding and Processing for Efficient Neuromorphic Speech Recognition Aggregate Disambiguation Systems A Composition-Aware Pretraining Framework for Geospatial Foundation Models Lucida: Parse, Generate, and Place for Composable Real-to-Sim Scene Modeling Reliable Benchmarking of Artifact Detection in Computational Pathology: A Reproducibility and Uncertainty Analysis Pretrained, Curriculum-Tuned, and Ensembled: A Tracer-Aware Interactive Segmentation Pipeline for AutoPET V TAMI: Temporally Aligned, Missingness-Aware, and Interpretable Multimodal Fusion for Mental Health Assessment in Older Adults with Mild Cognitive Impairment Exponential random graph models with soft clique constraints Personas Differ from Native-Language Generation: Language Pathways Shape LLM Interpersonal Advice Evaluating and Mitigating Anti-LGBTQ Biases in German and Multilingual Language Models Safety Screening for Voltage Control in Active Distribution Grids via Distributionally Robust Conformal Screening Towards Stream Learning on Embedded Systems: Benchmarking the Memory Consumption of Stream Learning Methods Stride-k Subsampling: Train-Free Audio Token Reduction for Whisper LightNav-0: Eliciting VLM Spatial Intelligence for Generalist Embodied Navigation MusGU+: Toward a Musician-Centered Evaluation Framework and Discovery Tool for Generative Music AI Taking the Whys Seriously: Limitations of Counterfactual Explanations in Justification and Recourse LOCI: A Locator-Critic with Refinement Loop A Universal Context-Reuse Layer for Cross-Model KV Sharing CogEvol: Towards Efficient and Reliable Learning Environment Generation CoJEPA: Combining Contrastive Learning and JEPA for Global-Local Music Representations MR-JEPA: A General Purpose Video Foundation Model for Cardiac MRI Evaluating and Improving LLM Self-Modeling Stick to What You Know: A Study of Knowledge-Aligned Supervised Fine-Tuning LLM Judges Verify Presence, Not Absence: Omission Blindness in AI Clinical Notes and What Recovers It One note in three: a verified census of three deployed AI scribes, and the instrument that counted it Real-Time Video Anomaly Detection Using YOLO Pose Estimation and CLIP-Based Semantic Scoring Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering Auditing Anonymous AI Models: A Four-Stage Protocol for Black-Box Identity Verification SUN: Persistent Programs For Language-Grounded Control-to-Learning-to-Real Policies A Mental Model Based Framework of Trust AssetOpsBench: Benchmarking AI Agents for Task Automation in Industrial Asset Operations and Maintenance Beyond Pixels: Exploring DOM Downsampling for LLM-Based Web Agents Language-Guided Tuning: Configuration Optimization for Automated ML Research SPADE: A Large Language Model Framework for Soil Moisture Pattern Recognition and Anomaly Detection in Precision Agriculture Reasoning or Rambling? Exploring the Effect of Thinking on Agent Persuasion GUI-PRA: Process Reward Agent for GUI Tasks Stop Before You Fail: Operational Capability Boundaries for Mitigating Unproductive Reasoning in Large Reasoning Models MobileDreamer: Generative Sketch World Model for GUI Agent Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human-Agent Interaction SPRInG: Continual LLM Personalization via Selective Parametric Adaptation and Retrieval-Interpolated Generation Real-Time Deadlines Reveal Fragile Temporal Adaptation in LLM Strategic Dialogues Not Your Typical Sycophant: The Elusive Nature of Sycophancy in Large Language Models ShardMemo: Scope-Before-Routing for Agentic Memory Retrieval Defining Operational Conditions for Safety-Critical AI-Based Systems from Data HumanStudy-Bench: Towards AI Agent Design for Participant Simulation Reasoning and Tool-use Compete in Agentic RL:From Quantifying Interference to Disentangled Tuning Beyond Dense States: Sparse Transcoders as Causally Testable Operators for LLM Latent Reasoning AgentRx: Diagnosing AI Agent Failures from Execution Trajectories Towards Natural Personalization: Evaluating Long-Horizon Preference Following in Personalized User-LLM Interactions Retrieval-Augmented LLM Agents: Learning to Learn from Experience Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systems INTRYGUE: Induction-Aware Entropy Gating for Reliable RAG Uncertainty Estimation JFTA-Bench: Evaluate LLM's Ability of Tracking and Analyzing Malfunctions Using Fault Trees PeopleSearchBench: Evaluating AI-Powered People Search Platforms with Criteria-Grounded Verification View-oriented Conversation Compiler for Agent Trace Analysis A Multi-Agent Human-LLM Collaborative Framework for Closed-Loop Scientific Literature Summarization ReVEL: Multi-Turn Reflective LLM-Guided Heuristic Evolution via Structured Performance Feedback WebXSkill: Skill Learning for Autonomous Web Agents ReactBench: A Benchmark for Topological Reasoning in MLLMs on Chemical Reaction Diagrams Training and Agentic Inference Strategies for LLM-based Manim Animation Generation First-Order Efficiency for Probabilistic Value Estimation via A Statistical Viewpoint SkillRet: A Large-Scale Benchmark for Skill Retrieval in LLM Agents Useful Memories Become Faulty When Continuously Updated by LLMs SciAtlas: A Computable Atlas of Science for Knowledge-Grounded AI Research Summoning the Oracle to Slay It: Mitigating Look-Ahead Bias in Financial Backtesting with Large Language Models Agent-as-Peer-Debriefer: A Multi-Agent Framework with Perspective-Based Refinement for Qualitative Analysis VeriTrace: Evolving Mental Models for Deep Research Agents PortBench: A Correlation-Aware, Full-Pipeline Benchmark for LLM-Driven Portfolio Management AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task Scenarios Zipping the Thought: When and How Compressed Reasoning Data Works in LLM Post-Training Adopt $\neq$ Adapt: Longitudinal Analyses of LLM Conversations in the Wild Citation-Closure Retrieval and Per-Rule Attribution for Real-World Regulatory Compliance Question Answering VLA-Trace: Diagnosing Vision-Language-Action Models through Representation and Behavior Tracing When Should Models Change Their Minds? Contextual Belief Management in Large Language Models Self-Correction Can Amplify Hallucinations: Fact-Level Repair with Graph-Based Evidence Routing in Multimodal Generation Hidden Thoughts Are Not Secret: Reasoning Trace Exposure in LLMs Handoff Debt: The Rediscovery Cost When Coding Agents Take Over Interrupted Tasks Perceive Before Reasoning: A Pre-Reasoning Perception Framework for Efficient and Reliable Proactive Mobile Agents Evolving Agents in the Dark: Retrospective Harness Optimization via Self-Preference CrowdMath: A Dataset of Crowdsourced Mathematical Research Discussions How Small Can You Go? LoRA Fine-Tuning 270M-8B Models for Merchant Information Extraction in Financial Transactions ForesightSafety-SAGE:A Fully Automated Scenario Generation and Safety Evaluation Framework for LLM Agents From AGI to ASI IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing Beyond Helpfulness: A Teaching-over-Solving Diagnostic for Measuring Educational Impact in LLM Tutors A homotopy-type-theoretic generalization of neurosymbolic inference DiagFlowBench: Evaluating How Language Models Handle Off-Procedure Inputs in Grounded Diagnostic Dialogue ScaffoldAgent: Utility-Guided Dynamic Outline Optimization for Open-Ended Deep Research PEAR: Permutation-Equivariant Adaptive Routing Multi-Agent Debate In LLM Reasoning, there is Irrationality on top of Value Misalignment DART: Draft-Agreement Routing for Training-Free Adaptive Thinking Budgets in Hybrid Reasoning Models RIFT-Bench: Dynamic Red-teaming For Agentic AI Systems COMPASS: Grounding Composition-Intent Guidance in Unified Multimodal Models Mnemosyne: Agentic Transaction Processing for Validating and Repairing AI-generated Workflows Where Knowledge and Authority Sit Changes What an Agent Benchmark Can Resolve Agora: Enhancing LLM Agent Reasoning Via Auction-Based Task Allocation Can Agentic Trading Systems Pay for Their Own Intelligence? WorldCupArena: Fine-Grained Evaluation of Language Models and Deep-Research Agents on Football Forecasting EvoSQL: Memory-Augmented Critic-Generator Co-Evolution for Text-to-SQL DynamicMCPBench: A Trace-Grounded, Effect-Scored Benchmark for LLM Agents over Live MCP Servers Masked Distillation: Internalizing the Chain-of-Thought in Language Models Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Messier: A High-Resolution Corpus for Cross-Benchmark Agent Evaluation MultivationBench: A Benchmark for Multimodal Sequential Motivation Reasoning TaskPress: Query-Agnostic KV Cache Compression via Task-Guided Pruning Unequal Verdicts: Investigating Gender Bias in LLM-Based Fake News Detection NxN E-valuation: Hypothesis Certification via a Conformal CRT Null The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows PsychoAgent: An Affect-Sensitive Cognitive Architecture for Conflict-Aware Memory in LLM Agents Renormalising Generative Models for Active Inference: Foundations, Derivations, and Verification Towards Query-Agnostic RAG Evaluation via Query Coverage and Claim Verifiability Evo-Harness: Context-to-Harness Skill Compilation for Self-Evolving Agents Constitutive Priors for Machine Intelligence: A Legitimacy Theory of the Artificial Physical World Beyond the Trace: Coupling an Interpretable Reasoning-State Readout to Native MoE Routing RTPO: Reverse-Turn Policy Optimization for Stabilizing Agentic RL Training SAPO: Single-Rollout Autoregressive Policy Optimization for Agentic Reinforcement Learning Is Multimodal Speculative Decoding Ready for Diffusion-Based Parallel Drafting? A Survey and Empirical Diagnosis AUDITA: certified auditing and causal attribution of adverse outcomes in autonomous multi-agent systems ExecRubrics: Executable Tool-Augmented Rubrics for Verifiable and Efficient Long-Form Evaluation Robustness Analysis of Agentic AI to Inconsistent and Incomplete Tool Responses Characterizing Necessary Losers to Explain Tournaments Solutions When Seeing Is Not Enough: Benchmarking Interactive Visual Grounding in LVLMs SimGuide: Typed Multi-Context User Representations for Preference-Conditioned Agent Planning post-graph-rag: A PostgreSQL-Native Bi-Temporal Graph RAG Engine with Temporal Grounding at Synthesis Towards Reliable, Generalizable, and Specific In-Context Knowledge Editing via Multi-Objective Reinforcement Learning Repair or Resample? Rethinking Failure Debugging in LLM Multi-Agent Systems Candidate supply and answer selection shape the value of LLM judging in multi-agent systems ProgRouter: Online Progress-Guided Orchestration for Multi-Agent LLM Workflows under Quality-Cost Tradeoffs LiveSim: Simulating Environment-Shaped Users in Multi-Agent Live-Stream Ecosystems A Multi-Modal AI Framework for Real-Time Queue Prediction, Management and Optimisation in Intelligent Border Control Systems LongGuard: Mechanistic Analysis and Training-Free Mitigation of Long-Context Failure in Safety Guardrails RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requests Rubric-to-Code Credit Assignment for Reinforcement Learning WeAgent-MMSearch: Native Text-Vision Interaction for Multimodal Search Agents Timing-Aware Repurchase Prediction for Web-Scale E-Commerce: Survival Models for Multi-Surface Grocery Recommendation Prove2Me: An Open Collaborative Platform for Scaling Math Formalization Logos: An Agent Harness on a Cross-Process Bus Simulation-Based Evaluation of Energy-Constrained Quantum-Classical Competition General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Level SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval Understanding Deep Learning via Notions of Rank Learning Personalized Prompts for Healthcare Guidance Man Made Language Models? Evaluating LLMs' Perpetuation of Masculine Generics Bias An Efficient Sparse Fine-Tuning with Low Quantization Error via Neural Network Pruning CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification RSPO: Regularized Self-Play Alignment of Large Language Models Multimodal Large Language Models Predict Urban Safety Perception but Encode Non-Neutral Demographic Priors HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives Towards Accurate and Lightweight Peripheral Neuroblastic Tumor Diagnosis via Contrastive Multi-scale Pathological Image Analysis ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision Assistant Watch your steps: Dormant Adversarial Behaviors that Activate upon LLM Finetuning Learning Composable Chains-of-Thought EquiReg: Equivariance Regularized Diffusion for Inverse Problems mRNA Design and Optimization with Deep Knowledge-Infused Approach Understanding Automated Program Repair Agents Through the Lens of Traceability: An Empirical Study Evidence-Grounded Trustworthy Multimodal Reasoning and Evaluation Benchmark in Complex Urban Scenes FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Federated Learning for MRI-based BrainAGE: a multicenter study on post-stroke functional outcome prediction Training-free LLM Verification via Recycling Few-shot Examples A foundation model with multi-variate parallel attention to generate neuronal activity Disappearing Ink: Obfuscation Breaks N-gram Code Watermarks in Theory and Practice Proof2Hybrid: Automatic Mathematical Benchmark Synthesis for Proof-Centric Problems StructSynth: Dependency Graphs as Generation Plans for Low-Data Tabular Synthesis with Language Models SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering From Isolation to Alignment: Unified LoRA for Efficient Multi-Task Learning MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents EEGDM: Learning EEG Representation with Latent Diffusion Model Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection NeuroBreak: Unveil Internal Jailbreak Mechanisms in Large Language Models MAGneT: Coordinated Multi-Agent Generation of Synthetic Multi-Turn Mental Health Counseling Sessions Transformer-Encoder Trees for Efficient Multilingual Machine Translation and Speech Translation Talk in Pieces, See in Whole: Disentangled and Hierarchical Representation Learning in Language-based Object Detection Operationalising AI Regulatory Sandboxes: Activities, Requirements, and Technical Assessment under the EU AI Act When LLMs Benchmark Themselves: Deconstructing Self-Bias in Automated Evaluation Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks Correctness Forensics for Batch Speculative Decoding: Diagnosing the Ragged Tensor Problem Personalized Treatment Outcome Prediction from Scarce Data via Dual-Channel Knowledge Distillation and Adaptive Fusion LeMat-Synth: a multi-modal toolbox to curate broad synthesis procedure databases from scientific literature Retrofitters, pragmatists and activists: Public interest litigation for accountable automated decision-making Uncertainty Makes It Stable: Curiosity-Driven Quantized Mixture-of-Experts Error-Driven Scene Editing for 3D Grounding in Large Language Models MedVision: Benchmarking Quantitative Medical Image Analysis Look It Up: Analysing Internal Web Search Capabilities of Modern LLMs On the Optimality of Kinship Naming: an Information-theoretic Approach WaymoQA: A Multi-View Visual Question Answering Dataset for Safety-Critical Reasoning in Autonomous Driving CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation ScalePRM: Training Process Reward Models by Scaling Verification Compute Without Ground Truth Better World Models Can Lead to Better Post-Training Performance Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length SGM: Safety Glasses for Multimodal Large Language Models via Neuron-Level Detoxification Kascade: A Practical Sparse Attention Method for Long-Context LLM Inference KV Admission: Learning What to Write for Efficient Long-Context LLM Inference Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Entropy-Aware Token Rejection for Improving Speculative Decoding DIP: Dynamic In-Context Planner For Diffusion Language Models EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering and Reasoning AdaFuse: Adaptive Ensemble Decoding with Test-Time Scaling for LLMs FastSLM: Hierarchical Temporal Abstraction for Efficient Long-Form Speech Adaptation Do Language Models Reason Across Languages? Kinship Data Benchmark for Multi-hop Reasoning Triggering Chain-of-Thought via Latent Feature Interventions in Large Language Models To Retrieve or To Think? Cross-Boundary Context Evolution for Multi-hop Complex Reasoning AgenTRIM: Tool Risk Mitigation for Agentic AI CORE-T: COherent REtrieval of Tables for Text-to-SQL POCI-Diff: 3D-Layout Guided Diffusion for Controllable Synthetic Surveillance Data Generation Mechanism Shift During Post-training from Autoregressive to Masked Diffusion Language Models Standardizing Longitudinal Radiology Report Evaluation via Large Language Model Annotation Beyond Factual QA: Mentorship-Oriented Question Answering over Long-Form Multilingual Content The Grammar of Transformers: A Systematic Review of Interpretability Research on Syntactic Knowledge in Language Models Securing Time Integrity in Energy IoT Against Clock Drift and Y2K38 Failures R3G: A Reasoning-Retrieval-Reranking Framework for Vision-Centric Answer Generation Toward Scalable Audio Description Quality Control: A Workflow for Evaluating Human and VLM Raters Semi-supervised CAPP Transformer Learning via Pseudo-labeling Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts Robustness of Vision Language Models Against Split-Image Harmful Input Attacks Artifact Reduction in Undersampled 3D Cone-Beam CTs using a Hybrid 2D-3D CNN Framework Small Updates, Big Doubts: Does Parameter-Efficient Fine-tuning Enhance Hallucination Detection ? MAS-on-the-Fly: In-Context Structural Adaptation of LLM-Based Multi-Agent Systems Reverse N-Wise Output-Oriented Testing for AI/ML and Quantum Computing Systems ST-EVO: Towards Generative Spatio-Temporal Evolution of Multi-Agent Communication Topologies DesignAsCode: Bridging Structural Editability and Visual Fidelity in Graphic Design Generation Social-JEPA: Emergent Geometric Isomorphism Toward Generalizable Deep Learning Based Peatland Fire Detection via Walsh Hadamard Transform and Domain Adaptation Phys4D: Fine-Grained Physics-Consistent 4D Modeling from Video Diffusion MIND: Unified Inquiry and Diagnosis RL with Criteria Grounded Clinical Supports for Psychiatric Consultation Scale-Plan: Scalable Language-Enabled Task Planning for Heterogeneous Multi-Robot Teams Personalized Group Relative Policy Optimization for Heterogenous Preference Alignment Risk-Adjusted Harm Scoring for Automated Red Teaming for LLMs in Financial Services Efficient Cross-View Localization in 6G Space-Air-Ground Integrated Network Grammar of the Wave: Towards Explainable Multivariate Time Series Event Detection via Neuro-Symbolic VLM Agents EReCu: Pseudo-label Evolution Fusion and Refinement with Multi-Cue Learning for Unsupervised Camouflage Detection The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas An Empirical Investigation of Pre-Trained Deep Learning Model Reuse in the Scientific Process PA3: Policy-Aware Agent Alignment through Chain-of-Thought Interpretable Predictability-Based AI Text Detection: A Replication Study Do Large Language Models Possess a Theory of Mind? A Comparative Evaluation Using the Strange Stories Paradigm PhyGile: Physics-Prefix Guided Motion Generation for Agile General Humanoid Motion Tracking Mixture-Greedy for Online Generative Model Selection: Is UCB Necessary in Diversity-Aware Multi-Armed Bandits? T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search Variable-Length Audio Fingerprinting M2K: Making the Model-Kernel Interface Explicit for Reliable CUDA Kernel Verification Beyond Static Visual Tokens: Structured Sequential Visual Chain-of-Thought Reasoning Can We Change the Stroke Size for Easier Diffusion? Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofing Where Does Robustness Live? Neuron-Guided Adaptation for Retrieval-Augmented Language Models Interactive Clarification for Cloud Infrastructure-as-Code Synthesis Unveiling Language Routing Isolation in Multilingual MoE Models for Interpretable Subnetwork Adaptation Do We Still Need Humans in the Loop? Human vs. LLM Annotation in Active Learning for TikTok Hate Speech Detection Perturbation Sensitivity of Maximum-Likelihood Pairwise Ranking in Computational Decision Systems KoALa-Bench: Evaluating Large Audio Language Models on Korean Speech Understanding and Faithfulness Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models SketchVLM: Vision language models can annotate images to explain thoughts and guide users When Chain-of-Thought Fails, the Solution Hides in the Hidden States Inverting Foundation Models of Brain Function with Simulation-Based Inference CF-VLA: Efficient Coarse-to-Fine Action Generation for Vision-Language-Action Policies Star-Fusion: A Multi-modal Transformer Architecture for Discrete Celestial Orientation via Spherical Topology Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G Concepts Whisper: Spectral Anti-Concentration and the Dual Geometry of Transformer Representations Asymmetric On-Policy Distillation: Bridging Exploitation and Imitation at the Token Level DRIP-R: A Benchmark for Decision-Making and Reasoning Under Real-World Policy Ambiguity in the Retail Domain Robust Multi-Agent LLMs under Byzantine Faults Drop the Act: Probe-Filtered RL for Faithful Chain-of-Thought Reasoning Large Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safety IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation Prefix-Adaptive Block Diffusion for Efficient Document Recognition Adversarial Trust Poisoning in Vehicular Collaborative Perception Making the Discrete Continuous: Synthetic RAW Augmentations for Fine-Grained Evaluation of Person Detection Performance in Low Light Measuring the Depth of LLM Unlearning via Activation Patching When the Strongest Teacher Is Not the Best Teacher: Student-Centric Answer Selection QUACK: Questioning, Understanding, and Auditing Communicated Knowledge in Multimodal Social Deduction Agents BIRDS: Characterizing and Understanding Biodiversity Impact of Large Language Model Serving Locality-Aware Redundancy Pruning for LLM Depth Compression Semantic Flow Regularization: Teaching LLMs to Generate Diverse Yet Coherent Responses KVoiceBench, KOpenAudioBench, and KMMAU: Agent-Driven Korean Speech Benchmarks for Evaluating SpeechLMs Integrated and Cross-Architecture Interpretation of LLM Reasoning Extracting Small Translation Specialists from LLMs by Aggressively Pruning Experts BenGER: Benchmarking LLM Systems on Subsumption-Based Legal Reasoning in German Law Reverse Probing: Supervised Token-level Uncertainty Quantification for Large Language Models in Clinical Text Skill-Conditioned Gated Self-Distillation for LLM Reasoning OISD: On-Policy Internal Self-Distillation of Language Models Relevance as a Vulnerability: How Web Retrieval Degrades Safety Alignment in LLM Agents How Coding Agents Fail Their Users: A Large-Scale Analysis of Developer-Agent Misalignment in 20,574 Real-World Sessions LaRA: Layer-wise Representation Analysis for Detecting Data Contamination in RL Post-Training Exploring Autonomous Agentic Data Engineering for Model Specialization FBHM: Functional Benchmarking and Steering of VLMs for Hateful Meme Detection Vision-Language Models Suppress Female Representations Under Ambiguous Input Skill or Skip? Learning Selective Skill Invocation in Agentic Tasks via Dual-Granularity Preference Learning Linguistics-Aware Non-Distortionary LLM Watermarking DASH: Dual-Branch Score Distillation for Guidance-Calibrated Compact Diffusion Models The Value of Spike Timing: A Leakage-Resistant Benchmark of SNN Design Choices for Network Intrusion Detection FSA-GRPO: Teaching Auditory LLMs to Use Few-Shot Demonstrations GRZO: Group-Relative Zeroth-Order Optimization for Large Language Model Fine-Tuning OpenAgenet / OAN White Paper: Open Infrastructure for Trusted Agent Interconnection OpenAgenet / OAN Yellow Paper: Technical Architecture for Trust-Governed Resource Identity and Discovery The Unsampled Truth: Quantifying Prompt Artifacts in LM Psychometrics Agentic Chain-of-Thought Steering for Efficient and Controllable LLM Reasoning QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards POLARIS: Guiding Small Models to Write Long Stories ITP-STDP: A Hardware-Efficient Intrinsic-Timing Power-of-Two Synaptic Learning Engine for On-Chip SNNs Twelve quick tips for designing AI-driven HPC workflows ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding Summarization is Not Dead Yet Divide-and-Conquer Modeling for the CTF-4-Science Lorenz Benchmark Attention-Discounted Adaptive Sampler for Masked Diffusion Language Models BioDivergence: A Benchmark and Evaluation Framework for Hidden Contextual Contradictions in Biomedical Abstracts A Zero-shot Generalized Graph Anomaly Detection Framework via Node Reconstruction TRACE: Trajectory-Routed Causal Memory for Delayed-Evidence Visuomotor Imitation CARE: Context-Aware Ranking Evolution with Executable Scoring Programs for Budgeted Reaction Optimization MMLongEmbed: Benchmarking Multimodal Embedding Models in Long-Context Scenarios Let Them Steal: Trapping Large Language Model Extraction Attacks with Knowledge Honeypot MagicSim: A Unified Infrastructure for Executable Embodied Interaction APT: Atomic Physical Transitions for Causal Video-Language Understanding Are LLMs Ready to Assist Physicians? PhysAssistBench for Interactive Doctor-Patient-EHR Assistance Data Intelligence Agents: Interpreting, Modeling, and Querying Enterprise Data via Autonomous Coding Agents Skills for the future software profession: beyond agentic AI! DMV-Bench: Diagnosing Long-Horizon Multimodal Agents' Visual Memory with Incidental Cue Injection MultiHashFormer: Hash-based Generative Language Models Predicting Metastatic Risk from Primary Cancer Tissue Architecture via Distance-Aware Spatial Modeling Self-Organized Conformal Prediction: Reducing Regional Coverage Gaps with Unsupervised Group Discovery Memory-Native Non-Terrestrial Networks for Embodied Intelligence Scene-Conditioned PINN-GNN for Multipath RF Maps: Cross-Scene Generation and In-Scene Completion Cultural Bias Without a Cultural Self:A Disassociation Study of LLM's Persona and Bias Criterion-Conditional In-Context Learning: Evaluating Criterion-Shift Adaptation in Vision-Language Models A Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent Post-Training A Gold-Standard Study of What Makes a Lightweight Game-Playing Agent Strong SynthAVE: Scalable Synthetic Labeling for E-Commerce with LLM-Arena Validation PRISM Edit: One Vector for All Temporal Answers Decoupled Structure-Feature Alignment via Alternating Optimization for Graph Learning MEMORA: Embodied Action Memory from Egocentric Videos for Reasoning and Planning SALT: Salience-Aware Lexical Trie for Long-Context Compression ReViV: Reconstructing the Viewer and the View in 4D from Monocular Egocentric Video Governing Well in the Algorithmic Age: The Foundations of Digital Statecraft Off-Context GRPO: Learning to Reason on Hard Problems using Privileged Information Error Certificates for KV-Cache Eviction via Randomized Design Action from Adjacent Set in Physical Space Outperforms the Best Prediction in World Models SyRuP: Enhancing System-Prompt Following via Reward-Guided Prediction in LLM Decoding A2TTA: Anchored-and-Agile Test-Time Adaptation for Evolving Traffic Sensor Networks Searching for Robust Augmentations to Improve Out-of-Domain Generalization in Dermoscopic Skin Cancer Classification Learning to Trace Seiberg Dualities Why It Hurts: Identifying the Drivers of Negative Thoughts in Emotional Support Conversations SERUM: State Extraction and Refinement for User Modeling Why LLMs Give In: Conversational Factors and Reasoning Behind Medical Sycophancy Single Canonical Prompts Underestimate LLM Safety's Surface-Form Sensitivity Emulate or Estimate? The Divergent Strengths of Base and Post-Trained Language Models for Opinion Simulation Approximate Speculative Decoding Ouroboros: A Self-Developing Frontier Coding Agent with Reviewed Core Evolution TCS-BENCH: Benchmarking State-of-the-Art Generative AI Theoretical Computer Science Research Ability Auditing Chinese Web-scale Corpora via Sampled BPE Token Statistics Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse Terminal Symmetry as a Carrier of Asymmetric Process Knowledge: Statewise Refinement for Anytime Verified Construction Reinforcing Step-level Reasoning for Effective Self-Correction in LLMs LookBack: Where and How to Score LVLM Responses via Visual Reference Usage Reduced Matrix Multiplication: Input-Adaptive Matrix-Product Reduction for LLM Inference Writing Style Similarity Reflects Academic Genealogy Low-Rank Dynamics-Effective Latent Carriers for Counterfactual Rollout in Learned World Models PXDepth: Pixel-Space Modeling for Structure Preserving Monocular Depth Estimation ORPA: Online Residual Policy Adaptation for Robot Manipulation Control with Human Feedback Modeling the Structure of Human Behavior with AI Prompt Vectors Decomposing Wrong-Consensus Agreement in LLM Self-Consistency SPADE: Self-Play in Adaptive Synthetic Executable Environments What Does an Evaluation License? A Commit-Bound Census of Claim Replay in Inspect Evals When Images Look Right and Retrieve Wrong: Coverage-Guided Cross-Scale Re-Indexing for Knowledge-Faithful Generative Perception Atom Learning Model (ALM): how a real classroom got tokenised Reinforcement Learning on Benign Facts Amplifies Leakage of Memorized Private Data DELE-w0.5: Inferring Action from Future Latent State for Robotic Manipulation Mol-JEPA: A multimodal Joint Embedding Predictive Architecture for Molecules LITERARYBIGFIVE: Author-Personalized Text Generation in a Unified Interpretable Space Mycelial Search: A Graph-Structured Metaheuristic for Continuous Optimisation LUCAID: Agentic Multimodal AI for Lung Cancer Precision Pathology The Shadow Price of Intelligence: Quality Degradation in LLM Inference as a Supply Chain Problem When Less Is More: An Empirical Study of Minimal Responses in Counseling Dialogues and the Behavior of LLMs Enhancing Bayesian Optimization and Active Learning Through Kernel Diversity FAMPWQ: Fisher Information-based Adaptive Mixed Precision Weight Quantization for Effective LLM Inference Demystifying Reinforcement Learning Post-Training of Language Models DeMMO: Longitudinal and Cross-Disease Modelling of Digital Mobility Outcomes via Multi-Task Learning MoPLEx: Estimating Plackett-Luce Mixture Models for Multi-Objective Alignment It's a matter of timescale: non-linear utility in successor features and multi-objective planning and learning A Statistical Audit of Physical AI Benchmark Redundancy ICON Decomposition: Auditing Deep Neural Networks with Multivariate Variance-based Concept-level Explanations Successive Capacity Growth: Task-Complexity-Driven Width and Depth Expansion for Vision Transformer Encoders in JEPA World Models XHotpotQA: A Benchmark for Cross-Lingual Knowledge Composition in Multi-Hop Question Answering A Survey on Rubric-Guided Reinforcement Learning for Language Models Not to Break, but to Attest: Adversarial Probes for Privacy-Preserving LLM Verification Deriving Scaling Laws for OpenEuroLLM Models: Learning Rate, Batch Size and LossGithub Trending (Python)
K-Dense-AI/scientific-agent-skills jingyaogong/minimind Osmantic/ODS kaifcodec/user-scanner p-e-w/heretic handsomestWei/patent-disclosure-skill pollen-robotics/microduck_rl browser-use/video-use unclecode/crawl4ai smicallef/spiderfoot securo-finance/securo microsoft/qlib mvanhorn/last30days-skill debpalash/VoiceStudio PrefectHQ/prefect Open-LLM-VTuber/Open-LLM-VTuber abi/screenshot-to-code mukul975/cve-mcp-server MakazhanAlpamys/Soup calesthio/OpenMontageGithub Trending (C)
aircrack-ng/aircrack-ng Genymobile/scrcpy openwrt/openwrt nothings/stb microsoft/mimalloc mit-pdos/xv6-riscv DeusData/codebase-memory-mcp capstone-engine/capstone Klipper3d/klipper reactos/reactos erincatto/box3d bol-van/zapret2 nginx/nginx zmkfirmware/zmk valkey-io/valkey betaflight/betaflight systemd/systemd tr4m0ryp/tr4mpassNature
Author Correction: Plasticity and language in the anaesthetized human hippocampus Charmed by comets These greenhouse-gas sources have trotters and snouts China’s regulatory innovation for new biomedical technologies When AI does science, who is accountable for mistakes? The global plastics treaty must account for conflict-driven energy insecurity Europe should adapt, not copy, China’s practical PhD Is this the first glimpse of dark matter? Data point excites physicists India has an ambitious plan to lure scientists back — will it work? From Trojan horses to AI-proof exams: how professors are tackling students’ AI use Who is responsible when AI helps to write science? A guide to emotional intelligence in the lab Mutating every DNA letter of a genome shows surprising effects — and the limits of AI My four-step workflow for reading scientific papers (without trying to read them all) Canada recruits dozens of US scholars — including several science stars Bland new world: is AI making us all think the same? A call to celebrate your achievements — from dissertations to tenure Scale of snakebites estimated globally What’s your lab’s archetype? The answer could inform how you use AI Order from disorder: do we need a new law of physics? The leap second is dead. Long live the leap hour? Why are rich people so pessimistic? What the numbers say AI models are being used to track zoonotic diseases. Will they prevent the next pandemic? Lift-off! NASA launches Roman Space Telescope to tackle dark-energy mysteries Briefing Chat: How Dolly Parton left her mark on science Mysteries of the deep and AI friendship: Books in brief The Moderna cancer vaccine offers hope — now we must speed up personalized therapies Heisuke Hironaka obituary: mathematician who smoothed out geometry’s complexities Will Meta’s deal make social media safe for kids? Researchers are dubious What employers are looking for in the age of AI — and four ways to provide it A solution to the mystery of the missing neutrinos Animal-microbe partnerships date back to the dawn of complex life ‘Robot Olympics’ reveal humanoids’ rapid progress — and flaws Glacier collapse caused Nepal’s deadly flash flood — a sign of things to come? Women face bans on research underground — here’s how to modernize the system The Roman telescope is about to take planet-hunting to the next level Why are El Niños getting stronger? 1,000-year-coral record points to climate change Highest-ever ocean temperatures recorded as El Niño intensifies Using nuclear waste to power space missions Automated prototyping of genetic codes Insights into longevity and virus-driven adaptation from Myotis bat genomes Systems vaccinology and the architecture of human immunity Ultrafast and reference-free sequence discovery in single-cell data Cell-type-specific eQTLs underlie the genetic architecture of complex traits Amphibious stem-insect sheds light on colonization of land 3D bulk-resolved g-wave altermagnetic order parameter in CrSb Tidal tomography reveals a thermal anomaly beneath Mars’s crustal dichotomy Synergistic degradation of fucoidans in the ocean A binding-to-release strategy for targeted anticancer drug delivery Critical zone processes limit alkalinity export from natural basaltic systems Aberrant excitatory neuronal ERBB4 promotes Alzheimer’s disease pathology Video reconstruction of variable VLBI observations with neural fields Endocannabinoids facilitate reward engagement through retrograde gain control Primate-specific regulation of the human glycosphingolipid gatekeeper UGCG Granule cells reorient cortical trajectories to separate contexts Long-read sequencing reveals pre-meiotic gene conversion in sperm Infrared absorption spectroscopy of a single polyatomic molecular ion Spontaneously charged water drops induce corrosion Plasma-jet movie is astronomy’s summer blockbuster Can nuclear reactors hit the road? A practical recycling strategy for making thiophosphate molecules with enzymes Smaller reactors bring nuclear power closer to fulfilling its promise Dolly Parton dies aged 80 — researchers celebrate her contributions to science The 46 companies scrambling to commercialize fusion for energy This pulsating muscle graft mimics benefits of exercise Savannah grass growth in dry conditions is boosted by increased CO2 levels Are pro-nuclear politics a threat to public safety? South Africa’s ‘registration law’ for scientists could be a template for the world — if the nation gets it right Vaporization trick enables ‘tandem’ solar cells to be made at lower temperatures The baffling science of SSRIs: how do they really work? A raft of start-up firms is betting on nuclear fusion Like coffee and ice cream: an interview with Sam and Eli Morten The push to clear nuclear power’s waste-disposal hurdle Daily briefing: Celebrating Dolly Parton’s contributions to science Harnessing nuclear power for a clean-energy futureCNN
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
Incumbent Sen. Ed Markey wins Massachusetts' Democratic primary for US Senate North Carolina Rep. Chuck Edwards is formally censured over harassment allegations Congress averts a government shutdown ahead of the midterms ICE says it has enough body cameras now, after series of deadly shootings Beloved writer and environmentalist Wendell Berry has died at age 92 SCOTUS allows Trump's ballroom project to continue. And, the Army secretary resigns They live by a shrine to a saint. Why are their homes being demolished? Why the Supreme Court's ballroom ruling could matter beyond the ballroom USPS 'carefully reviewing' whistleblower claim on plan for Trump's mail in voting order A makeover for college: No gym, no meal plan and two years of workThe Atlantic
The Guard That Won’t Be Changing The Singularity Is Not What It Seems Why the Flock Backlash Has Gotten So Intense The Backlash Against Polyester Has Gone Too Far Trump Meant It Literally When He Said He Was Taking the Oil The Absurdity of New York City’s Pied-à-Terre Tax Pied-à-Temper-Tantrum Woodstock, Lilith Fair, and Taco Bell Rolled Into One What Howard Zinn Got Wrong The Growing Lawlessness in California’s Forests Hegseth’s Pentagon Lurches off the Rails Dan Driscoll’s Parting Shot Trump’s Economy Goes to the Polls Trump’s Hatred of Free Speech Is Intensifying The Women Obsessed With Lindsay Clancy Photos: The Aftermath of Nepal’s Flash Floods The Recalled-Food Show With RFK Jr. How to Raise Resilient Children The Apocalyptic Style in Woke Thinking We Are Living in the Fantasy World of 13-Year-Old Boys The Fight Between Texas and Minnesota Should Never Have Gotten This Far What Happened to Yoga? The Singular Triumph of Driving Down Peanut Allergies How the Right Could Actually End Birthright Citizenship China Is FlatliningVox
The plot to disrupt mail-in voting We actually know how to help mothers with postpartum depression A federal judge just discovered a whole new way to place ICE above the law What would it take to actually stop the data centers? Inside a quest to learn about the ocean’s mysterious “deep reefs” The Supreme Court just gave Trump his illegal ballroom Can we afford Iran? Welcome to the September issue of The Highlight The “super influencers” powering the post-Trump right What makes a song flop?Al Jazeera
Honduran court drops case against ex-President Hernandez after Trump pardon Top US lawmaker Mike Johnson says lying is part of some Iranians’ religion What to know about Germany’s drone attack accusations against Russia Iran says US bombed a wedding party in Sirik, killing five IAEA says Syria built a nuclear reactor in Deir Az Zor under al-Assad US launches new strikes on Iran, denies its bases hit in Jordan US pushes looser approach to AI regulation, while EU pushes new law Moment US strikes on Iranian port city hit wedding party Iran war live: US bombs Iran, Tehran retaliates on Gulf neighbours, Jordan Fernandez transfers to Man City from Chelsea in joint British record fee Cisco accused of fostering a hostile workplace for Muslim and Arab employees US House passes funding bill to avert government shutdown ahead of midterms US urges G20 to cut trade imbalances, focus on China US energy secretary will travel to Venezuela to unveil oil arrangement IAEA calls for access to Iran nuclear sites over proliferation concerns Zelenskyy warns airlines as Ukrainian drones target Russian airspace Deadly car bomb attack at Colombia police station Palestinians mourn children killed in Israeli airstrikes on Gaza City Police arrest 34 after deadly gang shootout in eastern Netherlands UN slashes food aid for occupied West Bank and Gaza amid funding shortfall Iranian state media announces numerous US strikes on the country What’s driven the defence deal between Israel and Greece? Canada’s Carney says US must ‘start being serious’ to resolve trade dispute Guinea-Bissau referendum nods to expansion of presidential powers Munitions vehicle explodes killing five in IdlibArs Technica
Here's our first look—and drive—of the 2027 Range Rover Electric Research roundup: 7 cool science stories we almost missed A newborn and child reportedly died of measles; CDC isn't counting them New Android Drop adds remembered items in Find Hub, makes anti-nausea dots official FTC alleges Amazon illegally made $20 billion by rigging billions of ad auctions This is what a supercar was like a century ago It turns out that Orion's much-maligned heat shield performed really well Without new landers or rovers, it's helicopters or bust for NASA's Mars program Private group wants to launch "cheapest possible" mission to Alpha Centauri The Bentley Supersports: A stripped-out engineer's indulgence Trump admin shelves Cyclospora research despite record-breaking outbreak Get in on the Ars community that doesn’t fit beneath an article Review: Coyote vs. Acme is an unabashed love letter to Looney Tunes Trump tells FCC to punish journalist for calling his election results "mixed" “Zlibrary my beloved”: Anthropic staff chats extolling piracy cited in Sony suit Raindrops are tiny lightning bolts, and they’re corroding cars, study finds Think twice before installing this device promising free movies El Niño is now stronger than at any point in the last 1,000 years, study finds Google Maps renames "Lake Ontario" to "Lake America" even faster than US government ChatGPT and Reddit now face EU's toughest online safety rulesSlashdot
GoPro Says It's Moving Into Data Centers As Part of a $285 Million Merger Who Is John Ternus, the New Apple CEO? Anthropic's Claude Fable 5.1 and Mythos 5.1 Arrive With a 75% Cost Reduction For Fable Cache Reads Dyson Made a Camera-Equipped Toothbrush That Flosses For You BT's Old Copper Landline Network Could Be Worth Over $2 Billion OpenClaw 2.0 Is Here, Ushering In the Era of 'Multiplayer' AI Coding Anthropic Signs $35 Billion Cloud Deal With Nvidia-Backed Lambda Jensen Huang and Lisa Su Snubbed By TIME's 2026 List of Top 100 AI Leaders Florida Bans Flock Cameras From State Highways California Lawmakers Greenlight Solar Panels You Can Plug Into the Wall Electrically Charged Raindrops Can Corrode Cars and Buildings Trump Tells FCC To Punish Journalist For Calling His Election Results 'Mixed' FTC Sues Amazon, Accusing the E-Commerce Giant of Misleading Advertisers Apple Caught Off Guard by AI Demand for Mac Mini and Mac Studio Broadcom Pledges to Lock Down Open Source Python, Java LibrariesSmithsonian Magazine
Allergic to Dogs? These Gene-Edited Beagles Could Pave the Way to Your Dream Canine Companion That Won't Trigger Sniffles This 91-Year-Old Man Fell 71 Times While Hiking the Appalachian Trail. He Just Became the Oldest Person to Complete the 2,190-Mile Trek A Frank Lloyd Wright House in L.A. Is in Danger of 'Demolition by Neglect,' Say Advocates Mars' Southern Half Is Weirdly Warm Underground. The 'Thermal Anomaly' Might Explain Why the Planet's Hemispheres Look So Different This Ancient Insect Had 24 Legs—and Could Help Explain How the Ancestors of Modern-Day Bugs Took Over the Land Female Treefrogs Experience 'Choice Overload' Amid Too Many Mating Calls From Males Stones From One of Henry VIII's Fortresses Spent More Than a Century Hidden in Plain Sight. New Research Suggests the Victorians Repurposed Them as Building Materials We’ve Been Strapping Cargo to Our Backs for Millions of Years, but Backpack Innovation Really Took Off Around the Civil War Some of the Earliest Automobile Enthusiasts Signed Up to Help the Allies in WWI. They Also Ushered in the Mechanization of War Falling for Beckley: 8 Ways to Experience Raleigh County's Autumn SeasonInfoQ
OpenClaw 2.0 Releases with Simplified Setup and Collaborative Agents InfoQ previews the September cohorts of its online certification programs Presentation: Beyond Line Charts: Why Some Diversity in Telemetry Visualization Is Long Overdue HCP Terraform Positions Itself as the Control Plane for AI-Driven Infrastructure DoorDash’s Flux Runs 130,000 Engineering Tasks Through Cloud-Based Agents Java News Roundup: GraalVM, Jakarta Data, JNoSQL, Azul Payara, WildFly, Quarkus, Atmosphere Article: Eliminating Long-Lived Credentials in GCP with Workload Identity Federation Podcast: Scott Jenson on Evolving Desktop OS, Local-First, & Agentic UX Presentation: Running AI at the Edge: Running Real Workloads Directly in the Browser Foundry Model Router Expands from Two Regions to 28, Refreshing Its Model Pool FlexGanttFX is Open Source Cloudflare Extends AI Search to Make it Easier for Agents and Developers to Search Custom Data AWS Open Sources Kiro Crew for Asynchronous Coding Agents Presentation: Architecting the Data Layer for AI Agents: from Transactional Systems to MCP and Semantic Models Cloudflare Workers Accept Inbound TCP, with gRPC the First Protocol on TopDynomight
Thoughts I had while reading your comment Indirect lessons from human alignment So you want to use plants to reduce indoor CO₂ Does every question mark deserve a Betteridge? Does creatine make you smarter? Pseudpocalypse Life with hazard ratios Blink if you’re human The worthlessness of vitamin D is mildly exaggerated Is “colorectal cancer” rising in “young people”? What’s with all the slide decks? You’re probably taking the wrong painkiller I quit drinking for a year LLMs predict my coffee The modern formatting addiction in writing Maybe there’s a pattern here? Heritability of human life span is about 50% when heritability is redefined to be something different Why read novels? Good if make prior after data instead of before Why the chicken crossed the road, according to various entities Underrated reasons to be thankful V Make product worse, get money Dating: A mysterious constellation of facts Pointing machines, population pyramids, post office scandal, type species, and horse urine Will the explainer post go extinct? Y’all are over-complicating these AI-risk arguments Shoes, Algernon, Pangea, and Sea Peoples Dear PendingKetchup You can try to like stuff I guess I was wrong about AI persuasionMarginal Revolution
Who values democracy? Tuesday assorted links More optimistic results on AI and job markets The Hugging Face hack Yerevan bleg Monday assorted links AI and Employment: So Far, So Good Spain fact of the day Anthropomorphizing AI? Russia markets in everything Sunday assorted links *Finding Emily* China fact of the day Saturday assorted links Interviewing Yiyang Zhuge (Zhong Shu)Not Boring
Weekly Dose of Optimism #208 An American Engineer in China Weekly Dose of Optimism #207 Weekly Dose of Optimism #206 Base Power Company: Chapter 3 Weekly Dose of Optimism #205 Weekly Dose of Optimism #204 AI is Oil, Not God Weekly Dose of Optimism #203 Weekly Dose of Optimism #202 Senra Systems: Harnessing Human Skill Weekly Dose of Optimism #201 Weekly Dose of Optimism #200 America's Next 250 Weekly Dose of Optimism #199 Weekly Dose of Optimism #198 Weekly Dose of Optimism #197 Return on Tokens (ROT) Expanding the Radius of Daily Life Weekly Dose of Optimism #196Coding Horror
You Can't "Vibe Code" Love Every Choice Changes Everything: The Show Thank You For Being a Friend Launching The Rural Guaranteed Minimum Income Initiative The Road Not Taken is Guaranteed Minimum Income Let's Talk About The American Dream Stay Gold, America The Great Filter Comes For Us All I Fight For The Users The 2030 Self-Driving Car Bet Updating The Single Most Influential Book of the BASIC Era Building a PC, Part IX: Downsizing The Rise of the Electric Scooter Electric Geek Transportation Systems An Exercise Program for the Fat WebNASA Breaking News
NASA Selects Blue Origin as Mars Telecommunications Network Provider What’s Up: September 2026 Skywatching Tips from NASA Historic Engines Take Their Place on Artemis III APOD: 2026 September 1 – A Plane Lunar Eclipse Ice Island Survives Run-In With Joe Island NASA Welcomes Türkiye as Newest Artemis Accords Signatory September 2026 Satellite Puzzler NASA’s Nancy Grace Roman Space Telescope Launches Roman Commissioning APOD: 2026 August 31 – Launch of the Roman Space TelescopeQuanta Magazine
‘Stunning’ Percolation Proof Solves Decades-Old Puzzle About Phase Transitions Does Computer Science Need Computers? In Hilbert Space, All Things Are Quantumly Possible A New Framework for How the Brain Compresses Our Noisy World ‘Huge Breakthrough’ in the Math of ImbalanceScience Daily
Scientists discover why snake embryos twist into spirals Mindfulness may lower blood pressure in just 8 weeks One of Earth’s driest places was just covered in snow NASA delays Crew-13 launch after leak found on SpaceX Dragon NASA’s Swift telescope is back, but time is running out NASA’s Roman Space Telescope launches to reveal the Universe’s darkest secrets A massive plume deep beneath Africa is pulling the continent apart Scientists find why the liver may not heal even after you stop drinking Goodbye CPAP? New sleep apnea pill cuts breathing events by 44% Scientists find a human-only gene that may help explain our brainpower Popular sweeteners may leave effects that last for generations HEPA air purifiers may boost brain function after just one month A “quantum bath” puts quantum entanglement on autopilot Scientists challenge a 70-year-old “lizard brain” myth Reaching 90 without dementia doesn’t mean you’re in the clear High blood sugar may help cancer cells hide from the immune system One injection could keep osteoarthritis drugs working for weeks Fossil feet may be misleading scientists about human evolution Hundreds of hidden earthquakes found at Antarctica’s Doomsday Glacier Long-term melatonin use linked to 90% higher heart failure risk Researchers unveil sustainable spirulina solution to vitamin B12 deficiency This strange “spacetime crystal” can suddenly become a black hole Scientists discover diamonds can generate electricity 1.4-million-year-old footprints reveal a surprisingly large human relative IBM quantum computer solves classically intractable problem in 15 minutes Common supplements rival antibiotics for severe gum disease Australia’s red soil may be hiding a massive clean energy source Your waist size may reveal health risks BMI misses The next Cascadia megaquake could hit Oregon harder than expected Ancient Egyptian princesses were buried with weapons. Their bones reveal why Seven new frog species were hiding beneath Madagascar’s forest floor Rocky planets may have formed just 100 million years after the Big Bang Dogs may hold surprising clues to human longevity Scientists discover a massive heat anomaly deep inside Mars NASA’s Roman telescope will see 100 times more sky than Hubble A cancer therapy put severe rheumatoid arthritis into remission Keto diet cut liver fat by 67% in a clinical trial The universe is still speeding up, but nobody knows why Scientists discover why damaged nerves struggle to heal Some signs of quantum gravity may be an illusion Experimental eye drops help blind mice see again Scientists discover two superconducting states hiding as one Scientists turn one of the hardest plastics to recycle into high-performance engine lubricant Your sleep may be hiding an early clue to Alzheimer’s Scientists tested 212 plant-based meat alternatives. Every one contained fungal toxins A common vape flavoring may disrupt early embryo development Researchers followed 400,000 kids for 20 years and found a lasting pre-K advantage Scientists tracked 4,500 animals and found a surprising human effect Your dislike of eating bugs may be 9,000 years old “I jumped from my chair” – Astronomers spot Betelgeuse’s hidden companion A new recipe unlocks “impossible” nanocrystals for LEDs, implants, and superconductors Vitamin C won’t prevent most colds, but it may do one small thing AI searched 100 million possibilities and found a cheaper way to 3D-print a NASA rocket alloy Why scientists asked 1,000 people to bury their underwear Scientists find a huge hidden ice reservoir beneath Utah’s mountains A mysterious cosmic hum may come from 13-billion-year-old dark stars 324-million-year-old fossil reveals how insects conquered land Smart nanoparticles light up brain cancer and destroy what surgery misses Scientists may have found a shortcut to calorie restriction’s anti-aging benefits Chimpanzees have been hurling rocks at the same trees for more than a decadeSpaceflight Now
SpaceX to launch Starlink mission from West Coast Roman Space Telescope, NASA’s next ‘great observatory,’ launched SpaceX launches 27 Starlink satellites on Falcon 9 rocket from Vandenberg SpaceX launches Starlink mission on a Falcon booster’s record-breaking 37th flight SpaceX launches 100th orbital mission of 2026 SpaceX launches 29 Starlink satellites from Cape Canaveral following last-minute scrub LandSpace becomes first commercial Chinese company to land an orbital-class booster Astronauts remove failed antenna; run out of time to install a spare SpaceX exceeds 11,000 satellites in low Earth orbit SpaceX launches record-breaking back-to-back Falcon 9 rockets for Globalstar, U.S. Space ForceSpace Daily
Radio signals take between three and 22 minutes to cross the distance between Earth and Mars. Even if a reply were transmitted instantly, a single question-and-answer exchange could take 44 minutes—and near solar conjunction, the Sun can interrupt the conversation entirely. Joro spiders’ common prey families came out 10 to 25 percent apart from the native orb weavers’ in a gut-content DNA study of 356 spiders at 52 sites in Georgia and South Carolina — and where the Joros were present, the natives’ guts were not distinguishable from sites without them An icy world only 500 kilometres across beyond Neptune was found in May 2026 to possess an atmosphere that should escape within 1,000 years. Scientists suspect a recent impact or continuing cryovolcanism—but still cannot explain what created or replenishes its improbable veil of gas. Chile’s Atacama desert has dumps where huge quantities of unsold and second-hand clothing end up, and a small factory nearby now shreds textile waste from that pile and presses it into insulation panels for buildings Cloud-9 appears to be a dark-matter halo weighing five billion suns, containing a million solar masses of hydrogen but no detectable stars. Hubble observations announced in January 2026 identified it as the strongest known candidate for a primordial “failed galaxy”—a fossil from early galaxy formation that never crossed the threshold required to make stars. Saturn’s rings look ancient, but data from the Cassini spacecraft suggests they are surprisingly young, likely no more than a few hundred million years old, meaning dinosaurs walked the Earth in a solar system where Saturn had no rings at all Interstellar comet 3I/ATLAS arrived from the direction of Sagittarius with the highest incoming speed of any known interstellar visitor, accelerated to nearly 250,000 kilometres per hour near the Sun, and is now escaping on a hyperbolic trajectory that will never bring it back. A satellite sent up in 1995 to watch the sun has found more comets than anything else in history, and most of the 5,000 in its tally were spotted by volunteer citizen scientists, many with no formal scientific training, clicking through the free pictures it puts online frame by frame Gaia data revealed 6,594 nearby solar twins, including more than 1,500 born around the same time as the Sun. Researchers propose that many of them—and perhaps our Sun—migrated more than 10,000 light-years from the Milky Way’s turbulent inner disk, potentially placing Earth in the quieter galactic environment where complex life eventually evolved. Thought of the day from Stoic philosopher Zeno of Citium: “We have two ears and only one mouth, that we may hear more and speak less.”Space News
Commercial Space Federation (CSF) Welcomes Two New Associate Members Speed to Field Starts Below the Prime The electronics ‘under the hood’ of space networking LatConnect 60 and Phi Earth Partner to Connect Space and Soil RTX’s Blue Canyon Technologies introduces new spacecraft mission enabler The threat environment and processing at the edge Propulsion is having a moment Space Angel secures $1.75m WA Government backing to advance Western Australian spaceport plans Tendeg Launches NewTEN Steerable Compact Antenna at SmallSat Robotics and the future of on-orbit labor Spirit Electronics Adds Texas Instruments and Microchip Technology Space Grade Components to Online Store Ahead of SmallSat 2026 The Fuel for the Next Generation of Cislunar Exploration? Technology and Talent. Tory Bruno Named Honorary Chair Of World Space Week 2027 New Novaspace forecast: 6,500+ EO satellites to launch by 2035 Elve qualifies millimeter-wave amplifiers for spaceflight What’s next for ISR in space Moog Highlights Huntsville Expansion and New Hardware-in-the-Loop Lab During Space and Missile Defense Symposium Rock West Composites® Is Premiering Its New STRATOPultrusion™ Product Line at the 2026 Small Satellite ConferenceMartin Fowler
Fragments: September 1 Making Your Data Ready for Agentic AI Fragments: August 24 Citizens Build, Agents Execute, Experts Govern Practitioner Voice: The Writing Category Nobody has Named Yet Fragments: August 18 TDD inside the agent loop - theater or actual value? Fragments: August 4 The Conductor Developer The Economic Benefit of Refactoring The Orchestrator's Tax Why I’m Writing Rachel’s Ramblings Fragments: July 21 The Archaeologist’s Copilot DSLs Enable Reliable Use of LLMs Fragments: July 13 Experiences with local models for coding Viability of local models for coding Fragments: July 6 Building Reliable Agentic AI Systems Fragments: June 16 Fragments: June 2 Fragments: May 27 The test suite as a regression sensor The VibeSec Reckoning Bliki: Vibe Coding Three more static code analysis sensors Maintainability sensors for coding agents Bliki: Interrogatory LLM What is CodeEmbedded 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
Yamaha Creator Pass Review: A Subscription Built For The Budding Bedroom Producer Arturia Pure SUB Review: Should Bass Synthesis Be This Easy? 5 Must-Watch Sets At CRSSD Festival Next Month CRSSD Festival Reveals Full Lineup for Fall 2026 Cleaning Up Vocal Rips With LALAL.AI Lynx KASHOVSKI “Great Music Alone Isn’t Always Enough To Build A Career” Native Instrument’s SuperStarSaw Review reFX releases Rippler, a dual‑layer physical modelling synthesiser How To make your own kick drums in Diva 5 of the Best Software and Hardware TrackersDJ 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?