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US death row inmate Christa Pike awake and speaking after failed execution, lawyers say - BBC Trump says he plans to speak with Putin about possible pneumonic plague case in Russia - NBC News School protests sweeping France cause 'heaviest toll in decades' - Reuters Bulgaria's leader says drone attack hits 2 commercial vessels, and Ukraine's president blames Russia - AP News Israel marks three years since Hamas-led 7 October 2023 attacks - BBC DeSantis declares state of emergency for 25 Florida counties ahead of growing Gulf storm - WFLA Trump worries Iran could target U.S. cities. These places get extra nuclear protection - Axios California couple arrested on child abuse charges in horrifying surrogacy probe - AP News How drunk is too drunk? Cornell rape allegations expose 'loopholes' in consent laws - BBC From million-dollar mansions to surveillance missions, the life and travels of an alleged Chinese agent - CBS News Yemen’s Houthi Rebels Strike Two Airports in Saudi Arabia - WSJ Germany's former foreign intelligence chief arrested on suspicion of espionage and attempted treason - AP News Live Updates: Iran-backed Houthis deny losing ground in Yemen as oil prices ease despite fierce fighting - CBS News After housing protests turned violent, Spain will tax seasonal rentals to build a 10 billion euro fund into first-home loans - Fortune Stock futures are little changed after S&P 500 hits fresh record: Live updates - CNBC Jaguar targets young Americans with Type 01 EV – but it’s too long for UK parking spaces - The Guardian McDonald’s sued over AI tool that recommends prices to US franchisees - AP News Vietnam's banks tap investors for $7 billion as economy runs red hot - Reuters Xbox has secured exclusive GTA 6 streaming rights - The Verge Apple is reportedly partnering with LG to launch a smart lock, thermostat, and doorbell - TechCrunch Deals: here are the best tablet and smartwatch deals from Amazon's Prime Big Deal Days - GSMArena.com news - GSMArena.com Claude launches Google Docs, Sheets, and Slides integration with sidebar and more - 9to5Google ‘A Skydance Corp.’: David Ellison immediately puts his stamp on Warner Bros. - NBC News Andrew Garfield Could Win an Oscar for ‘Artificial’ and His Norman Bates-Inspired Turn as Sam Altman - Variety ‘Dancing With The Stars’ Recap: Lots Of Breakthroughs On Mariah Carey Night Stiffen Competition - Deadline Emmy Awards leave broadcast TV for Prime Video in 2027 under six-year deal - CNBC Brewers vs Padres live updates; score, highlights from NLDS Game 3 - Milwaukee Journal Sentinel Eagles OT Lane Johnson announces retirement after decorated 14-year NFL career - Yahoo Sports Lionel Messi bids a tearful farewell to Argentina after 3-0 win over Benin - The Guardian Justin Ellis helps US cap a perfect international window with 1-0 win over Canada - The Guardian Nobel winner Halzen says years of October 'misery' finally over - Phys.org Monday Northern Lights Forecast: 9 States May See The Aurora Borealis Tonight - Forbes The moon and Jupiter are about to do something that won't happen again for 11 years - Live Science Scientists find planet made on new matter recipe, and it formed after a Red Giant ate a solar system - The Register Measles case confirmed in Allegheny County with possible exposure at Target, health dept. says - WTAE New York declares state disaster emergency over rising measles cases. Here's what that means - ABC News - Breaking News, Latest News and Videos Flu season could kick off ‘incredibly’ early — what scientists are watching - Nature Scientists Served Processed and Unprocessed Meals—Then Compared the Effects - NewsweekBBC News
US death row inmate Christa Pike awake and speaking after failed execution, lawyers say What we know about Christa Pike’s ‘unprecedented' recovery after failed execution Three arrested after raid on gang accused of helping migrants pretend to be gay to get asylum Battle of ideas looming in British politics, Badenoch to say Green member behind Zionism motion named as 'close friend' of jailed al-Qaeda supporter in court Watch: Riot police clash with school protesters and use tear gas in France Incredible or catastrophic? Jaguar unveils its polarising electric car UK risks being 'uninvestable' if new oil and gas fields not approved, warns oil giant Man charged with GP's murder Watch: Police raid on gang behind fake gay asylum claims What can I do to protect myself after 'Asos hacked' message? Froyo's made a comeback. But at £12 a tub will it last? The ‘biggest puzzle game ever’ is being released – its creator explains why it took 10 years The Papers: 'Badenoch promises tax cuts' and 'Asos hacker havoc' Many Nepalis swept away in the floods aren't officially dead, leaving families in limbo 'That nagging feeling of dread': Is 'hang-xiety' a real thing? UK set for coldest night of autumn so far From films to streaming prices - how the Warner Bros deal could affect you Ronaldo says he's not retiring but deserves 'punishment' over Portugal walkout Roll-out begins for passport-free airport e-gates Former Australian bishop jailed for sexually abusing young men Student admits murdering woman in 'Dexter' kill room PCs who used Taser and baton on amputee, 92, sacked BBC News app Will The Tories Make A Pact With Reform? Midfield options and a fab front four - what we've learned about England Honeymoon over as Pocognoli's Scotland suffer domestic disharmony Ronaldo wants Portugal 'punishment' but not retiring Kane scores twice but who else was a 'real threat'? England player ratings LIV Golf secures potential $300m investment Kane's rise from childhood keeper to equalling England cap recordFinancial Times (World)
FirstFT: Brussels explores broad levy targeting revenue from US tech Germany’s beleaguered spies face a fresh scandal Private equity’s future after the boom and bust HMRC opened probe into Man City’s tax affairs in 2018 Robust AI spending sets investors up for another bumper US earnings season Greens braced for loss in Keir Starmer’s old seat in London HSBC plans sweeping job cuts across UK wealth business in AI push Blue Owl to launch ‘big push’ into insurance Chemical groups succeed in watering down EU pesticide rules Brussels looks to capture Big Tech through tax on large corporations Russian hostile activity costs UK up to £2.5bn a year, report warns African governments launch rating agency to challenge global ‘big three’ Recipe: The fish tacos worth frying over What comes next with the energy shock? Tens of thousands of active UK companies may have fraudulent directors Cruise lines slash Caribbean fares as Middle East diversions swell capacity Skydance’s debt pile takes the spotlight The taxman comes for China’s offshore riches India’s motorbike billionaire steering the tussle at Tata Trump says he will speak with Putin about pneumonic plague SpaceX looks to raise $40bn to buy Nvidia chips in financing led by Apollo Jim Clyburn urges Black voters not to be ‘fooled’ by Trump Trump says he is considering suspending federal petrol tax ‘Most dangerous product in crypto’ vexes Singapore S&P 500 hits record high as AI stocks shrug off bond market slumpFinancial Times (UK)
HMRC opened probe into Man City’s tax affairs in 2018 Greens braced for loss in Keir Starmer’s old seat in London HSBC plans sweeping job cuts across UK wealth business in AI push Russian hostile activity costs UK up to £2.5bn a year, report warns Tens of thousands of active UK companies may have fraudulent directors Tory plan to rip up UK-EU food deal risks ‘huge uncertainty’ Badenoch pledges to halve employers’ NI contributions for younger workers UK threatens to expel Israeli diplomats if Jerusalem consulate is closed Jeffrey Archer, author and politician, 1940-2026 Healey warns banks that UK faces ‘challenging’ fiscal picture but stays tight-lipped on tax Is your nanny annexe luxe enough? UK risks ‘uninvestable’ reputation if North Sea projects are blocked, says energy boss What is Black design now? Tories pledge ‘Britannia Shield’ to protect UK from drone attacks A plausible theory for reviving the Conservatives BT’s swoop on TalkTalk has regulators over a barrel Labour mayor of West Midlands urges chancellor to relax electric car targets ICE launches trading in gold futures in London Britain has turned digital ID into a growth industry Can Kemi Badenoch return the Tories to power? Author and former Tory politician Jeffrey Archer dies aged 86 FCA to examine how it treated whistleblower who died by suicide Trump says US pulled bombers from UK after ‘threats’ ‘Very sensible’: Business warms to Badenoch’s pitch Former prince Andrew seeks judicial review of police searchesThe New York Times
Inside Binance Founder Changpeng Zhao’s Life After Prison Who’s to Blame When A.I. Goes Rogue? OpenAI’s Greg Brockman Backs Out of Second $25 Million Donation to A.I. Super PAC How Meta Uses A.I. Data Centers to Avoid Billions in Federal Taxes Energy Firms Try to Squeeze More Power Out of Old Nuclear Plants In Race With U.S., China Struggles to Recruit Foreign A.I. Researchers Gears of War: E-Day Is Nostalgic With Rich Visuals South Korea Investigates Possible Use of A.I. in Hackings on Its Banks Mixed Human Feelings After a Day at a Park Full of Robots US Solar Panel Makers Try to Catch China With a Big Leap in Technology Are Babies Conscious? Court Tosses Sentence After A.I. Video of Victim ‘Forgiving’ His Killer Is Played An A.I. Songwriting Experiment: Humans Against the Machine Sales of Hulking Pickups and S.U.V.s Sag as Fuel Prices Soar A.I. Agents: Cute, Cuddly and Maybe Catastrophically Dangerous? Amazon Promises More Local Funding and Less Secrecy Around Data Centers Russia’s Latest Propaganda? A.I.-Generated War Songs. Amazon Settles Lawsuit Over Claims of Slow Deliveries to Low-Income Areas Swedish Company Uses A.I. Likeness of Greta Garbo in Ad What’s Next for ‘Hard Fork’? When Data Centers Cluster Together, How Dirty Are They? One County Wants Answers. Google Releases New Gemini Model With Guardrails Amid A.I. Safety Debate F.T.C. Investigates OpenAI and Anthropic Over Potential Consumer Harms How to Listen to Your Favorite Music, Online or Off the Grid He Was a Tech Investor Before There Was a Silicon ValleyThe Guardian
Kenya confirms first Ebola case as virus ‘surges’ in DR Congo province Tigray rebel groups ‘forcibly recruiting boys as young as 15’ as fighting spreads Guardian readers fund life-changing surgery for Somali boy injured in US airstrike Skull fractures suggest servants of Egypt’s ancient kings were sacrificed Egyptian journalist faces terrorism charges after entire newsroom detained US man arrested as second suspect in Canada mass school shooting planned with ChatGPT Outcry in Trinidad and Tobago after passing of police bill that could threaten press freedom Argentina will stop Falklands exploiting offshore oilfields, foreign minister says Flávio’s surprise first-round election win highlights rapid rise of Brazil’s House of Bolsonaro Flávio Bolsonaro poised to win Brazilian presidency after shock first-round victory EU negotiators head to China hoping to curb cheap imports of hybrid electric cars New Zealand greenhouse gas levels hit record highs threatening catastrophic glacier melts From competing for food to a gold medal: the stories behind India’s Asian Games winners Fuel from South Korea being shipped to Russia as Ukraine war grinds on Extreme heat warnings issued for parts of southern California Former bishop sentenced to more than six years in prison for sexually abusing young Aboriginal men Beau Lamarre-Condon didn’t talk about Jesse Baird to friend in lead-up to alleged murders, court hears Privacy watchdog launches probe into China-based company behind Kmart ‘pervert glasses’ app Hunter Valley community group wins landmark high court climate change case over Mount Pleasant coalmine Comedian Dave Hughes to stop speaking at Liberal party events over political donation concerns Naval drone hits oil tanker off Russian resort city Sochi, triggering massive blaze Plague epidemic risk in Russia low after death of lab technician, WHO says Ikea to pilot online buyback service for secondhand furniture Google told to halt work on datacentres in Finland over environmental concerns Greek prime minister vows to ‘ramp up’ efforts to regain Parthenon marbles Israeli settlers beat press photographer as soldiers watch in West Bank ‘All I want to do is cry’: trauma of 7 October survivors three years after the attacks US, Israeli and European far-right figures to gather for conference in Israel Former UN food agency official claims he was fired for highlighting hunger in Gaza Saudi-backed forces recapture key areas around strait from Houthis in Yemen Supporters of Imran Khan start march on locked-down Islamabad India’s Cockroach movement launches new protests over changes to voter roll Eastern Spain braces for torrential rain and flooding ‘I was fighting for my life’: Indian pilot hailed as hero recalls flydubai cockpit attack British Sikh activist released from Delhi jail after nine-year detention Jaguar targets young Americans with Type 01 EV – but it’s too long for UK parking spaces Badenoch denies plan for ‘British Iron Dome’ – after Tories use phrase in press release Chancellor plans major intervention to help poorer UK households with rising energy bills Senior academics set out key questions Cambridge must answer over Jason Arday’s death Labour figures rule out working with Greens after ‘Zionism is racism’ vote Friends of Nolan Wells sue NFL Hall of Famer Terrell Owens for defamation Democrats now favored in key midterm races that could give them control of US Senate, new projections find – as it happened ‘Not exactly his favorite senator’: Susan Collins distances herself from Trump in Maine debate David Ellison denies he has ‘politicized’ Skydance despite close Trump links LA and San Diego residents ‘horrified’ by Trump suggesting Iran bomb themHacker News
The art of defusing a second world war bomb La Cueva BBS in Mexico in 1993 (session replay) Xbox has secured exclusive GTA 6 streaming rights Strands Decider 2B: a small, open-source, decision model ESP32-C3 Adblock Jev-Driven SRE Diagnosis: What Worked and What Failed South Korea says AI agents appear to have been used to hack the country's banks AnyPS5: Port PS5 binaries to PC without emulation (87% system libraries mapped) State of Devs 2026 Integer multiplication below n log n Sharing AI progress in mathematics Penguin Mail – open-source Rust email client for Linux with AI How Fast is Python 3.15? Decisions API is in public beta Paramount Skydance has completed its $111B merger with Warner Bros. Discovery When random is not actually random enough Tell HN: GitHub refuses to remove cracked copies of my software after a month Claude Code’s suggested message feature: I think the real customer is the model Utah to let AI examine patients and prescribe medication without human oversight California closed the Montana license plate loopholeArxiv astro-ph.HE
Relaxation of a Vlasov gas to an inhomogeneous state due to phase space mixing in an axisymmetric potential: A Newtonian analogy of the Kerr orbital motion Classification of X-ray Binaries in NGC 6946 with the use of Multiwavelength Data Uncovering the Physical Origins of Black Holes in the Milky Way for Astronomical Surveys Power-Law Injection Spectrum from an Ensemble of Reconnecting Current Sheets Radial Modes of Hot Neutrino-Trapped Hybrid Stars Chana: A GPU-Accelerated AMR GRRMHD Code Investigating X-ray Emission from Radio-detected Broad- and Narrow-line Seyfert 1 Galaxies A spatially resolved view of Fast Radio Burst host metallicities with Integral-field Spectroscopy Adaptive proposals for nonparametric equation-of-state inference with RIFT: iterative Gaussian-process refinement in a compressed sequence representation Scalable and sequential inference of the neutron star equation of state with the Einstein Telescope X-ray spectral scaling of black hole mass in quasi-periodic eruptive source RX J1301.9+2747 Probing turbulence in the ionized interstellar medium using young pulsars. I. Dispersion measure variations Predicting High-Energy neutrino emission from X-ray absorption in CSM-interacting SNe The Potential Contribution of Radiative Supernova Remnants to the Local Cosmic Ray Spectrum Assessing transitional pulsar candidates through a quantitative estimation of their light-curve similarity It Takes Two: nucleosynthesis in core-collapse supernova simulations of binary-star progenitors Unveiling the Accretion Architecture of GS 1354--64: A Broadband X-ray and Polarimetric Study of its 2025--2026 Outburst Parameter degeneracy and information loss in inverse flavor mapping for high-energy astrophysical neutrinos The pseudospectrum for gravitational perturbations in Kerr spacetimes Optimal Photon Counting with Fast, Low Noise Astronomical Imagers Magnus: neutrino oscillation probabilities for any Hermitian Hamiltonian, any number of flavors, and any matter profile SPECULATE: A synthetic spectral library, emulator and fitting package for accretion disc winds -- Infrastructure and application to CVs Does Diffusive Shock Acceleration Reach Steady State? Insights from a Near-Sun Shock Observed by Parker Solar Probe The neutrino magnetic moment and supernovae with strong magnetic fields Evolution of neutrino distributions under repeated electron scattering Line-of-sight Acceleration Driven Effects in Eccentric Compact Binary Coalescences Reflex instabilities I: Boundaries makes grid-based disc simulations frame-dependent Reflex instabilities II: The reflex motion of the central object drives at least seven instabilities in accretion discs Line-of-Sight Acceleration-driven waveform corrections for unequal-mass compact binary coalescences Constraining the gravitational-wave breathing mode with LVK antenna patterns and GWTC data Extreme superluminal expansion traces an ultra-narrow GRB jet across relativistic regimes Exploring a Cosmic-Ray Inverse-Compton Origin to the SZ-to-X-Ray Pressure Deficit in the Cool Core Cluster ZwCl 3146 Impact of Magnetic Field Topology on Electromagnetic and Gravitational Waves from Binary Neutron Star Merger Remnants Gravitational self-lensing of Fast Radio Bursts in neutron star magnetospheres: II. Applications to strong repeaters and the CHIME population Simulating the jittering-jets explosion mechanism: circum-jet rings account for observed core-collapse supernova remnant morphologies Detection of relativistic orbital deformation from improved timing of PSR J1757$-$1854 Beta-Particle Transport and Thermalization in Kilonova Ejecta with Detailed Atomic Microphysics Radio and X-ray Observations of the Transitional Supernova 2019yvr: Insights into the Progenitor Mass-Loss History Pulsations and constraints on time lags in two distinct ULXs: NGC 5204 X-1 and NGC 55 ULX-1 Superluminous supernova search with PineForest Black Holes in the Red-sequence Elliptical Galaxies at Redshifts $\sim 0.7-2.5$: Not Dark Energy Source but Remnants of Little Red Dots A dense dark matter core of the subhalo in the strong lensing system JVAS B1938+666 Einstein ring fingerprint around supermassive black holes illuminated by broad line region spectral lines Unraveling the mysteries of Jets in peculiar NLSy1 galaxies through multi-wavelength variability Rotation of the polarization plane in axion fields: application to neutron star polar cap regions Implications of the LISA stochastic signal from eccentric stellar mass black hole binaries in vacuum Polarization Analysis of Ringdown Signals Neutron star-companion interaction in core collapse supernovae. Population synthesis based on detailed binary evolution models The Treble Clef radio phoenix and its old nonthermal filaments Deep radio characterization of the supernova remnant G343.1-00.7 From the Milky Way to the Early Universe: How Metallicity Shapes the Formation of Double Neutron StarsArxiv cs.LG
TEMPEST: Temporal Embeddings for Scalable Driver Identification via Angular Margin Learning When Does External Guidance Help LLM Reasoning? A Bias-Variance Theory of Guidance-Augmented GRPO Neutrosophic Ensemble Classification for Uncertainty-Aware Bearing Fault Detection: Evidence from Laboratory and Variable-Speed Industrial Benchmarks Comparative review of hybrid forecasting models for short-term prediction of building thermal load Learning When to Refine: Long-Horizon Reinforcement Learning for Budgeted Neural-Operator PDE Solvers Event-Driven ML Pipeline Orchestration for Manufacturing: An AWS Industry Experience Learning from Unreliable Trajectories: Adversarially-Robust Federated Q-Learning AttSVD:Prompt-Adaptive Low-Rank KV Cache Compression via Attention-Guided SVD Near-Optimal Sample Complexity for Recursive Entropic Risk Reinforcement Learning with a Generative Model QiYao-I: A Manifold Based Foundation Model for Irregular Multivariate Time Series Forecasting Learning to Remember: Distilling Memory Retention for Compact Recurrent Neural Networks Learning to Decide, Not to Reason: Parameter-Efficient Decision Operators via Low-Rank Activation Steering Do Neural PDE Solvers Learn the Right Dynamics? EVFormer: An Egocentric Vision-EMG Bidirectional Attention Model for Bimanual Hand Pose Estimation Uncertainty in Representation Learning on Knowledge Graphs A Data-Driven Framework for Unsupervised Monitoring of Transmission Systems Using End-of-Line Testing Data: A Case Study at Ford Motor Company An Information-Theoretic Evaluation Framework for Benchmark and Model Diagnosis in Knowledge Tracing Repair Lot Skyline: A Weighted Constraint Satisfaction Approach to Pavement Repair Optimization from Geospatial Hazard Density DART-ES: Difficulty-Aware Reweighting and Targeted Replay for Fine-Tuning LLMs with Evolution Strategies Mask-Guided KV Cache Eviction in Block Diffusion Language Models Should We Skip Diffusion? STOCK-JEPA: Prior-Anchored Latent Revision Representation Learning in Equity Markets Identifiable World Models from Pretrained Diffusion Representations Shaping the Wind: Nested Potentials for Kinematically Admissible Urban Wind Prediction The Premise Is the Problem: Exchangeability Failure in Self-Monitored Test-Time Adaptation TRIAGE: Direction-Aware Mismatch Stabilization of Native NVFP4 Reinforcement Learning Skillful Data-Driven Subseasonal Soil Moisture Forecasting: Prospects and Limits for Flash Drought Prediction Learning to Simulate Individuals from Macro Social Signals What Must Replay Preserve? Separating Correctable Bias from Class Correspondence Few-Shot Bioactivity Prediction with Meta-Learning under Assay Heterogeneity When Attention Does Not Explain the Peak: Temporal Reference vs. Forecast Output in Attention-Based Time-Series Forecasting SchemaFill: Efficient LLM Tool Calling via Slot-Parallel Speculative Decoding Muon Is Theoretically Wrong For Convolutions, But Empirically Effective LiLib: Lifelong Air-to-Ground Path-Loss Prediction on UAVs via a Drift-Triggered Model Library Sample-Optimal Estimation of the Fr\'echet Inception Distance Will the Judge Flip? Predicting Position-Sensitive LLM Judgments from Residual Stream Activations SoloQ: Calibration-Free Quantization for Diffusion Language Models The Implicit Bias of Hyperbolic Representation Learning for Multiclass Data: A Busemann Risk Perspective Adversarial Training for Deep Hedging in Nonstationary Markets A theory of platonic representations in language models CLM-as-a-Judge: Evaluating an Open Contrastive Decision Model on Public Judge Benchmarks Learning Scientific Exploration from Human Research Decision Trajectories Exact Unlearning via Quantized Sufficient Statistics Distributionally Robust Mixture-of-Experts Training Can LLM-assisted regularization increase forecast accuracy for migration flows in low data regimes? Reward-Driven Learning under Prompt-Level Differential Privacy Constant-Curvature Sliced Gromov-Wasserstein for Heterogeneous Cross-Curvature Alignment Data, Numbers, and Geometry: Three Tutorials on Numerical Methods, Machine Learning, and Evaluation Minimal Witness Reinforcement Learning Conditional Flow Matching for Transport Between Markov Processes Benchmarking Time Series Foundation Models for Load Forecasting Under Covariate Uncertainty Learning What to Distill: Bilevel Top-K Token Selection for Self-Distillation in Large Language Models Neural Fields Encode Adaptation Geometry Neural Algorithmic Reasoning for Graph Saddle Point Problems Algorithmically Aligned Neural Agglomerative Tree Construction Lock-in EP: An In-Situ Training Algorithm for Oscillatory Hardware FlexiFlow: Bandit-based Model Switching in ML Workflows ATLAS-AL: Adaptive Trust-Region for Latent Adversarial Searches via Active Learning Scale-Invariant Training for Time Series Foundation Models Structuring MoE Expert Selection for Agentic Reinforcement Learning Weight Oracles: Reading Neural Network Weights with Language Models Selective Critique for Cost-Aware LLM Agents in Long-Horizon Decision Making CausalBind: Causal Modeling and Learning for Protein-Molecule Virtual Screening Stepped MoE: Segment-Level Routing with Configurable Inference Complexity RELACE: retrospective likelihood-based action credit estimation for long-horizon language agents Towards Explainable Benchmarking for Data-driven Post-Wildfire Debris Flow Prediction Dynamic Budget Allocation for LLM Evaluation under Hard Resource Constraints Multigroup Fairness and Omniprediction: Separations and Equivalences Inference and learning in sparse autoencoders as natural gradient flow Fed-BRDECS: Privacy-Preserving and Heterogeneity-Aware Federated Deep Embedded Clustering What pass@k Cannot Measure: Evaluating Diversity and Capability Retention after Post-Training Evaluation of Active Feature Acquisition Policies with Tabular Foundation Models Learnable Spectral Activations Benchmarking Label-Revealed Online Updates for EEG BCI Decoding StaFIR: Convex Learning of Stationarity-Aware Causal Filters Decoupling What from Where: How Should a Small GUI Grounding Model Receive the Action Type? Fork-and-Flush: Escaping Idea Basins in Autoresearch Agents Active Feature Acquisition for Cost-Efficient Temporal Prediction with Reduced Participant Burden AlignQuant: Tile-Aligned Mixed-Precision Quantization for Efficient LLM Generation Interpretable Hypergraph Learning via Neural Additive Models Efficient Multimodal Inference through Adaptive Acquisition and Sequential Fusion Structure, Not Belief: Correlated Thompson Sampling from LLM-Derived Covariance in Combinatorial Semi-Bandits Adapting to Changes in Agent Behavior via Finite-Depth Policy Sensitivity SpecBraM: What Should an EEG Foundation Model Predict? Masked Band-Power Prediction versus Waveform Reconstruction Robust Importance Sampling for Rare Events via Constrained Gaussian Mixtures Who Bears the Burden? Learning Responsibility for Shared Constraints in Multi-Agent Reinforcement Learning Source-Learned Reliance for Selective Test-Time Adaptation of Multimodal Time Series Harmful SFT Leaves a Continuous Trace in LLM Checkpoint Updates Activation Denoising: A Robustness View on Parallel vs Sequential LLM Quantization Targeted search shows that random-device testing underestimates worst-case error in a simulated wave-based neural operator Preserving Unstable Modes Through Inverse Dynamics in JEPA World Models Foundation Model-Aided Multi-Agent Reinforcement Learning for Wireless Random Access Network Optimization Which and When to Admit: Gradient Admission for Data-Centric Small Language Model Finetuning Global Transport Couplings for Classifier-Free Guided Flows TAFFY: A Task-Adaptive Tabular Foundation Model with In-Context Diversity Learning a Mixture of GFlowNets Complementary Feature Domains: Information Preservation Does Not Imply Predictive-Contribution Preservation Mechanistic Interpretability of Atmospheric Rivers in GraphCast Hub for Outliers, Spokes for Inliers: Uniform Latent Space Construction for Dual-Mismatched Semi-Supervised Learning AFA-BANDIT: Provably Near-Optimal Online Multi-Feature Classification Under Budget Constraints Stateless Language Agents: Scaling Long-Horizon Automated Research Complementary Supervised and Self-Supervised Representations for Out-of-Distribution Graph Learning Does On-Policy Distillation for Safety Pose Backdoor Risks? MS-ECG-FM: Towards a More Universal Electrocardiogram Foundation Model for Health Monitoring using Multi-source Contrastive Learning Exact-Solution Volume and Length Generalization in Transformers Adaptive Model Inversion Attacks Generalize a Privacy-Robustness Tradeoff Improving Synthetic Data Generation for Argument Mining via Adversarial Reinforcement Learning WASD: Wasserstein-based Knowledge Distillation for Large Language Models Neuromotor Hierarchy Network: Physiological Inductive Biases for Robust Generalization in sEMG Decoding Cite What You Explore: Budget-Aware LLM Reasoning over Medical KGs with Verifiable Evidence Adversarially Trained Linear Transformers Are Optimal Robust In-Context Learners for Gaussian Mixtures TRACE: Rollout-Guided Quantization-Aware Training for FP4 Reinforcement Learning of MoE Language Models Towards One-for-All Foundation Model for Attributed Graph Clustering Extending Pathwise Gradients to Discrete Random Variables via Finite-Order Relaxation ServeLearnBench: How Well Can Agents Self-Improve from Serving Experience? The Geometry of Empowerment Adaptive Mean Estimation by In-Context Learning: A Gradient-Flow Analysis MASKerade: Token-Routed Mask Experts for Dense-to-MoE Upcycling SIFT: Search Intent-to-Filter Transformer for Multi-Task Personalized Filter Ranking at Airbnb $\alpha$Transfer: Coefficient Transfer for Efficient Model Merging TTNet: Multi-Task Deep Learning for Table Tennis Player Analysis with Smart Racket CANDLE: Cortical Null-Space Decomposition for Noninvasive Brain Source Imaging Retrieval Is Not Enough: Refreshing Memory for Frozen Time-Series Forecasters Privileged Context as Drift in On-Policy Self-Distillation Lost in the bf16 Cast: Exporting Ternary Language Models Can Revert Most Low-Learning-Rate Code Changes A Decision-Focused Neural Optimization Framework for Personalized Route Reproduction from Vehicle Trajectories Tram-FL: Reducing Communication and Computation Costs through Sequential Model Circulation in Decentralized Federated Learning On-Policy Distillation with Negative-Policy Rollouts Label-Efficient Deep Learning for ECG Delineation: A Multi-Dataset Benchmark against Widely Used Delineation Tools FC-SWE: Failure-Conditioned RL for Long-Horizon Software Engineering Agents Variance-Averse $n$-Step Offline Reinforcement Learning for Sparse Long-Horizon Environments ApexQuant: Data-Free Elastic Quantization by Residual Re-Isotropization Revisiting Temporal Regularization for Smooth Control in Deep Reinforcement Learning Generalized Matheron Variational Implicit Processes DecepEval: A Benchmark for Evaluating Deception in LLM Agents Learning a Ranking from Human Feedback in Log-Concave Random Utility Models Do Higher-Order Models Win for Higher-Order Reasons? Rethinking Performance Gains in Hypergraph Learning A Broader Look at Model Merging: Rethinking Implicit Regularization Induced by Task Arithmetic TICDA: Tabular In-Context Data Attribution Can phenotypic activity be predicted without experimental readouts? Spectra: Exact Component Transport for Test-Time Prior Adaptation in Simulation-Based Inference SepsisLens: Structure-Preserving Sequence Modelling for Decomposable Early Sepsis Warning A Riemannian Geometry for Low-rank Adaptation Detecting a Shift Is Not Enough: Exact Minimax Limits of Linear Representation Repair Optimization Encoders: Rethinking Second-Order Meta-Learning for Neural Fields Enhancing Diffusion Language Models with Autoregressive Post-Training Weights Attenuated in-context identification in time-series foundation models: diagnosis under counterfactual inputs and repair by synthetic forced-system fine-tuning Do LLMs Act on What They Know? From Partner Representations to Cooperative Actions Mu-DisCoCat: A Variational Pipeline for Compositional Generalization on Quantum Processors Symphony for Text Generation: Benchmarking Clinical Note Generation Align, Then Correct: Training-Free Two-Stage Low-Rank Compensation for Extremely Quantized Large Language Models On the Intrinsic Limited Robustness of Latent-Based Watermarking Finding the Heads and the Neurons Responsible for Network Information Retrieval in Language Models Reinforcement Learning with Segment Reward Feedback under Linear Function Approximation Performative Prediction with Selective Labels Scalable extraction and visualization of multi-attribute logical and functional dependencies in tabular data OxiGen: Oxidation-State-Aware Crystal Generation Structure-Aware Graph Abstention for Reliable Selective Forecasting Uncertainty Quantification Is Indispensable for Reliable Connectome-Based Graph Learning: A Narrative Review and Case Study Sensor Geometry as a Flow-Matching Prior for Multi-Channel Brain Signals Evolutionary One-Step Generators: Fast and Diverse Sampling for Discrete Design Accelerating the Development of PLGA In Situ Forming Depots Through AI-Driven Multi-Objective Optimization Decision-Focused Learning in MDPs: An Occupancy Measure Approach Atom-JEPA: Joint-Embedding Predictive Architecture for 3D Atomistic Systems VETTA: Coordinating Turn- and Token-Level Credit Assignment for Multi-Turn LLM Agents SSR: Sparse Segment Reduction for Ternary GEMM Acceleration Symmetry-Aware Feature Learning: A Polynomial Separation for Multi-Index Models Climbing the Design Ladder: Sequential Knowledge Distillation for Early-Stage Circuit Timing Prediction Learning PDE solution operators with variable initial conditions via Latent Dynamics Networks MetaLearnNCA: Few-Shot Offline Meta-Learning via Interacting Neural Cellular Automata PHBA: Prefix-State Hybrid Block Attention How Bregman Divergences Shape Shampoo FlowCF: Sparse Counterfactual Explanations for Mixed-Type Tabular Data using Flow Matching From Shared Demand Patterns to Local Uncertainty: Probabilistic Load Forecasting by Mixing Compact Adaptations DeltaTTT: Layerwise Optimization for Nonlinear Recurrent Memory Reinforcement Learning for Hierarchical Reasoning Rewards: Minimax-Optimal Rates with Transformers Valid for Free: Homophily-Gated Conformal Prediction for Training-Free Node Classification with Tabular Foundation Models Singular Value Decomposition: A Geometric Rediscovery, Where Proofs Become Algorithms Less Is More: A Leakage-Controlled Study of Dermoscopic Preprocessing for Joint Skin Lesion Classification and Segmentation with YOLO26 How Learning Governs Unlearning across the Memorization-Generalization Spectrum Random Feature Gaussian Process Attention: Linear-Time Probabilistic Attention with Calibrated Uncertainty CNet: A Complex-Valued Deep Learning Framework with Wirtinger Autodifferentiation and FFT--Hadamard Convolution Multi-Label Perceptual Bug Detection in Video Games using Deep Learning on Gameplay Footage Early Memory Selection for Balanced Adam MemFLoRA: Memory-Floor LoRA for CNN Adaptation at the Edge Principled Under Pressure: Post-Training Decides Whether LLMs Act on Their Own Moral Judgment Variance-Optimal Off-Policy Evaluation with Conjunct Effect Modeling A Systematic Study of Small Language Models on Abstract Reasoning Tasks Probabilistic Counterfactual Inference for Discrete Outcomes in Gaussian-Process Causal Models GeneICL: A Tabular Foundation Model for Bulk Transcriptomics Optimal and Efficient Online Inverse Optimization On the Computational Tractability of Robust Bandits Reinforcement Learning with Conformal Action Sets: An Application to Sequential Recommendation Linear Bandits under Exact Sliding-Window Constraints Neural Petri flows for chemical reactions Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective The Geometry of Statistical Feature Learning in Mean-Field Langevin Dynamics What Does Fr\'echet Distance Measure? A Directional Decomposition Beyond Marginals: A Multi-Dimensional Evaluation Framework for Multi-Table Synthetic Data Generation Trajectools Demo: Towards No-Code Solutions for Movement Data Analytics Statistical Turbulence and High-Fidelity Disturbance Fields for Quadrotor Flight Control When Can World Models Recover Physical Laws? Zero-Shot Visualization: Exploring Text Corpora with User-Prompted Axes Axiom Satisfiability of Linear Rewards in Alignment Memory Prediction Excess: A Probabilistic Quantity for Predictive Gain and Memory Length in Stochastic Processes Component and Dimension Sparsity in Transformer Refusal Mechanisms Nonlocal Hamiltonian Dynamics on Sparse L\'evy Graphs: Spectral Analysis and Multimodal Sampling Anchor Divergence for Semantic Geometry in Contrastive Learning Extending Music Annotation Schemas: Zero-Shot Prediction or Few-Shot Adaptation? Low-Rank and Structured Sparse Tensor Decomposition for Anomaly Detection in Multivariate Functional Data FactorBench: A Portfolio-Aware Benchmark for Automated Factor Mining AdaLoop: Adaptive-Depth Latent Reasoning for Audio Language Models Principles that Guide, Actions that Inform: Agent Evolution via Knowledge Abstraction Hierarchy-GBP: Accelerating Factor Graph Inference via Abstraction and Recovery Where Does the Audio Jailbreak Live? A Controlled Frequency-Depth Audit of AdvWave-P on Qwen2-Audio Which Image Property Carries the Jailbreak? A Controlled Dissection of Image-to-Text Jailbreaks Calibrated Answers About Randomized Trials From a 4-Billion-Parameter Open Model: A Registered Test and a License-Clean Release Investigating Model Compression for Neural Machine Translation in the Biomedical Domain JIVEAdapter: A Multi-Task Additive Low-Rank Adapter via Joint and Individual Variation Explained (JIVE) Inference-Time Projection for Physically Valid Biomolecular Diffusion Models Data Fusion for Errors-in-Variables Behavioral Cloning Mystery sHAIL-Causal: A Sequential Staircase Procedure for Invariant Causal Predictor Discovery ImpactMat: Continuous Material Estimation for Inverse Impact Sound Rendering On Color Alignment in VAE Latent Spaces and Its Applications Learning Decision-Stump Thresholds in Context: Dynamics of Softmax Attention A Query Is Not a Commitment: Learning to Correct Expert Answers in Online Deferral Towards a Unified Misuse Monitoring Benchmark Evaluating Inference Compute for Generative AI: A Framework for Enterprise Workloads AMBER: Training Long-Horizon Web Agents through Append-Only Memory Jailbreaking Open-Weight LLMs via Random Embedding Perturbations Is this machine playing? CroissantMiner: Automated Extraction and Validation of Croissant Metadata for ML Datasets Interleaved Projected Gradient Descent for Safe Imitation Learning Learning Disentangled Representations with Quantum Variational Autoencoders An overview of machine learning-enhanced iterative methods for systems of linear and nonlinear equations How Inefficient Is Natural Gradient Descent? From Exact Optimality to \Theta ( \sqrt{ \log d } ) Divergence Hybrid Cross-Modal Attention Network for Early Breast Cancer Detection in Low-Resource Clinical Settings Lineage-Aware Memory Governance: A Derivation-Gated Framework for Privacy-Preserving Column-Level Access Control in Enterprise AI Agents What Words Keep of a Place: Zero-Shot Language Reasoning for Cross-View Geo-Localization A Single-Loop, Constant-Batch First-Order Penalty Method for Stochastic Bilevel Optimization Assumption-lean logistic regression with missing covariates Advantage of Entangled Learning Rules in Quantum Measurement Class Learning Logbook: Extremely Long-form Audio Event Understanding Evaluating Behavioral Context for Interpretable IAM Policy Risk Scoring in Cloud Environments Identity-Conditioned Score Fusion for Open-Set Person Re-Identification HyperNSDE: Personalized Neural SDEs for Joint Static-Longitudinal Clinical Data Generation DeepAJM: Deep Association Joint Model for Irregularly Sampled data A perspective note on likelihood approximation and inference for complex simulation models using a chain of aggregated normalizing flows Bayesian Optimization on Function Spaces via Sparse RKHS Manifolds AccentCL: Robust Accent Classification with Incremental Expansion Artifact removal improves electrodermal waveforms but not downstream classification in a virtual-reality balance task Deep Defence on Wheels: A Dual Intrusion Detection System Architecture for Comprehensive In-Vehicle Network Security Does Muon Need Fine-Grained Spectral Shaping? Two-Sample Testing for Random Graphs without Vertex Correspondence MobileVISTA: Generative Data Augmentation for Pose Generalization in Mobile Manipulation SkillFormer: Skill-Decomposed Adaptation for Audio Language Models Is $\sqrt{d}$ Separation Necessary for Gradient EM to Learn Gaussian Mixtures in High Dimensions? Seeing the Invisible: Physics-Guided Visual Prompting for Temperature- and Radiation-Aware VLA Navigation Two Vectors Replace In-Context Demos: Structured Task Adaptation via Embeddings CETUS: How Far Do Representations Trained on Earth Transfer to Cassini SAR of Titan? REViT-v2: Hierarchical Windowed Roto-reflection Equivariant ViT for Equivariant Feature Extraction Personal-Agent Mediated Recommendation with Cross-Platform User History Recurrent Looped Transformer BiGym 2.0: Benchmarking Learned and Agent-Developed Policies for Humanoid Household Manipulation The Robot Is Not Its Description: GaugeBench for Representation Robustness in Morphology-Aware Policies Modeling Latent Disturbances for Robust Decision-Making in World Models A Neural JKO Scheme for Hellinger-Kantorovich Gradient Flows via Monge-Growth Pairs Linear Fitness Subspace in Protein Language Models Enables Sample-Efficient Directed Evolution Learning Grasp Targeting from Point Clouds for Log Pile Clearing on a Hydraulic Crane Explore, Then Commit: Measurement-Efficient Scientific Law Discovery with Language Models Explicit Asymptotic Bounds for Sequential Calibration Beyond $T^{2/3}$ Asymptotic Analysis of Empirical Risk Minimization on Entry-wise i.i.d. Heavy-Tailed Data Learning Explainable Representations of Complex Game-playing Strategies Towards the Automatic Synthesis of Interpretable Chess Tactics Uniform Discrete Diffusion Models are Minimax Optimal for Estimating Distributions with Small Effective Support Size Joint Workflow and Prompt Optimization for User Behavior Simulation CACHEFORGE: LLM-Guided End-to-End Generative Cache Replacement Policy for Performance and Hardware Efficiency Independent Multi-Agent Reinforcement Learning with Counterfactual Semantic-Social World Models Mathematical Invariant-Enabled Topological Neural Networks for Molecular and Materials Property Prediction Stability of Measure-to-Measure Transformers on Sub-Gaussian Data RefRoute: Decoupling Conditioning Cost from References via Compact Residual Conditioning and Spatial Routing Exact Calibration and Sharp Risk Geometry for Volume-Sampled Ridge Regression The Model Plants the Trigger: Answer-Side Backdoor Attacks in Multi-Turn Large Language Models SanSi: A Looped Typed Decision Model for System 1.5 Thinking Learning to Retrieve via Reinforcement Learning in Embedding Space Nash Social Welfare for Multi Armed Bandits: Trajectory-wise Expected and High Probability Regret High-dimensional online calibration from harmonic weights Trustworthy Method Comparison with AI Judges: Estimation and Design under Order, Batch, and Aggregation Effects APEX: Speculate smarter, not deeper Quantization Effects on Tool-Failure Recovery Vary Across Prompts and Evaluation Designs Persistent Memory in Multi-Agent LLM Inference: What It Costs, What It Buys, and When You Can Tell Common-Mode Errors Limit Low-Timestep Deep Spiking Q-Networks Stochastic Gradient Descent Ascent is Suboptimal for Nonconvex-PL Min-Max Games Do I Need the Cloud? Uncertainty-Aware Step-Level Handoff for Small Language Model Agents Forecast Accuracy Is Not Trading Profit: Evolving Small Recurrent Networks for Stock Return Prediction CHARTER: Auditing Reference Substitution in Hierarchical Compact-Evidence Evaluation for Computational Pathology Scen-Opt: A Scenario Optimization Toolbox for Data-Driven Convex Programming A self-learning scientific agent for X-ray diffraction ReFold: Training-Free Reversible Inter-Turn Context Folding for Long-Horizon Agents Learned Adaptive Multiresolution Diffusion Imaging Rethinking Faithfulness in LLMs: A Pairwise Context-Sensitive Perspective Isotropic Yet Undecodable: The Sequential Content-Sufficiency Gap in Latent-Predictive Text Representations Feature Encoding in VAE-based Audio Decoders: Effects of Input, Depth and Distribution FOSLS-deRhaNN: native de Rham neural classes for H(div) and H(curl) with applications to first-order system least-squares neural network methods for partial differential equations Learning consistent molecular mechanics force fields from first principles DAEDALUS: Bootstrapping Agent Memory from Self-Generated Tasks Language Carries the Expert's Impression: Instrument-Anchored LLM Judges Transfer Counseling-Quality Assessment and Beat In-Domain Training Self-Retrospection Distillation: Turning Post-hoc Experiences into Prior Foresight ProximalFM: Amortized Proximal Causal Inference under Hidden Confounding Explainable Rule Mining of IPv6 Extension-Header Presence Patterns from Paired-Vantage Captures Surviving the Router: Optimizing Skill Injections for Retrieval and Execution Energy-Aware Path Following: Comparative Analysis of Reinforcement Learning and NMPC for Electric Vehicles Beyond Waypoint Regression: Query-Based Cost Learning over Reachable Ego Futures for End-to-End Driving Beyond Marginal Monitoring: Distributed Joint-Distribution Testing for Data Concept Drift in Large Scale E-Commerce Operations Making COMET Comparable Across Scripts: Diagnosis and Correction of Tokeniser-Induced Script Bias in Indic MT Evaluation Beyond the Leaderboard: Multi-Dimensional Evaluation of Dense and Mixture-of-Experts Models for Automated Program Repair LFHE: Local-First Heuristic Evolution for Bounded Local Topology Search in Decentralized Learning with Non-IID Data Compact Robot Policies Need Fine-Grained Visual Representations Anytime-valid simulation-based hypothesis testing How Many Independent Samples Does a Satellite Image Contain? Generalization Bounds for Spatially Dependent Data LeanPlan: Optimal Planning with LLM-Generated Heuristics and Admissibility Proofs DySCo: Dynamic Sharding for Collaborative Edge-Cloud LLM Inference with Depth-Synchronized Batching Two-Sample Testing via Generative Processes Where Do Two Populations of Persistence Diagrams Differ? Calibrated Local Inference at a Fixed Budget CoDe-LoRA: Mitigating the Orthogonality Dilemma in Continual Learning of LLMs via Knowledge Consolidation and Decoupling The Standardization Trap: Certifying Joint Label Processing in Tabular Foundation Models Machine Learning for German Redispatch Forecasting under Data Delays and Temporal Distribution Shift DIPrune: Task-Aware Token Pruning with Dual Importance for Efficient Multimodal Language Models High-Dimensional Statistical Inference for Sparse Support Vector Machines Knowing When Not to Answer: Cross-Domain and Multi-Turn Generalization of Latent Underspecification Signals Agentic AutoRAG: RAG Pipeline Optimization through Reasoning-Driven Agents UNREAL: Unifying Retrieval and Long-Context with a Single Model Information-Dense Synthesis for Molecular Discovery X-OPM: Explainable Automatic Digital On-Chip Power Modeling for Enhanced Robustness Beyond Perturbation Magnitude: Direction-Dependent Responses in Multimodal Geometric Representations Toward Alignment Scaling Laws: A Framework and First Preregistered Measurements AnyBottle: A Recipe to Only Keep the Concepts You Really Need Systemization of Knowledge (SoK): Human-Centered AI Safety for Youth Latent space bias directions in LLMs capture confidence, not fairness Have I Seen Enough? Frozen Video-Language Models Encode Evidence Readiness RAG-PIBench: A Leakage-Aware Benchmark for Prompt-Injection Detection in Trustworthy RAG Systems FedDermaSeg: Federated Learning for Dermatological Image Segmentation Feature Information Dynamics in Diffusion SquidAgent: Parallelize Wisely, Coordinate Efficiently Steering Diffusion Models to Rare Events with Sequential Monte Carlo Secure Speculative Decoding for Large Language Models Prediction-powered inference for time series across space Co-Evolving Paths and Flows via Path-Flow Alignment When Forgetting is not Catastrophic: On the Mechanics of Spurious Forgetting Does an Agent's History Tell You When Compaction Will Hurt? A Modest, Bounded Effect on the TRACE Paired-Replay Corpus Denoising Hierarchical Representations: Joint Continuous Diffusion for Language Modeling Rapid Fredholm stabilization of the Kuramoto--Sivashinsky equation with unrestricted, spatially-varying anti-diffusion AdvSim2Real : Training Web Agents Against Adaptive Prompt Injection in a Web World Model QF3: Fast Flow RL with Filtered Q-Gradients Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields Probabilistic Truly Unordered Rule Sets FreDF: Learning to Forecast in the Frequency Domain Convergence of Sharpness-Aware Minimization Algorithms using Increasing Batch Size and Decaying Learning Rate Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches Time-o1: Time-Series Forecasting Needs Transformed Label Alignment Direct Regret Optimization in Bayesian Optimization Cross-Modality Controlled Molecule Generation with Diffusion Language Model PiERN: Token-Level Routing for Integrating High-Precision Computation and Reasoning HARL-A: An Extensible Benchmark Framework for Heterogeneous Multi-Agent Adversarial Reinforcement Learning in IsaacLab Predicting kernel regression learning curves from only raw data statistics DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment Time-multiplexed layer reuse for physical neural networks Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models Honesty over Accuracy: Trustworthy Language Models through Reinforced Hesitation Stabilizing Off-Policy Training for Long-Horizon LLM Agent via Turn-Level Importance Sampling and Clipping-Triggered Normalization Aligning LLMs with Biomedical Knowledge using Balanced Fine-Tuning A Footprint-Aware, High-Resolution Approach for Carbon Flux Prediction Across Diverse Ecosystems Optimal Transportation and Alignment Between Gaussian Measures Variational Physics-Informed Ansatz for Reconstructing Hidden Interaction Networks from Steady States Rethinking Fine-Tuning: Unlocking Hidden Capabilities in Vision-Language Models Stochastic Siamese MAE Pretraining for Longitudinal Medical Images Intersectional Fairness via Mixed-Integer Optimization Fast and Efficient Asynchronous Gossip Algorithm for Robust and Non-Smooth Convex Decentralized Learning Local exponential stability of mean-field Langevin descent-ascent and associated particle system Uncertainty Localization in LLM Reasoning via Embedding Perturbations RAM-Net: Linear-Time Sequence Modeling with Sparsely Addressable State UniST-Pred: A Robust Unified Framework for Spatio-Temporal Traffic Forecasting in Transportation Networks Under Disruptions Multi-Probe Zero Collision Hash (MPZCH): Mitigating Embedding Collisions and Enhancing Model Freshness in Large-Scale Recommenders Dual-Modality Multi-Stage Adversarial Safety Training: Robustifying Multimodal Web Agents Against Cross-Modal Attacks Federated Mixture-of-Experts Alignment on Mobile Edge Networks under Data Heterogeneity Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints Quality-Controlled Active Learning via Gaussian Processes for Robust Structure-Property Learning in Autonomous Microscopy Adaptive Semantic Communication for Wireless Image Transmission Leveraging Mixture-of-Experts Mechanism Neural Global Optimization via Iterative Refinement from Noisy Samples Sinkhorn doubly stochastic attention rank decay analysis Can an MLP Absorb Its Own Skip Connection Exactly? Observable Neural ODEs for Identifiable Causal Forecasting in Continuous Time From Dual Tracking to Clipping: Provably Faster Distributionally Robust Multi-Objective Optimization A Sharp Finite-Iteration Theory for Asynchronous Categorical Distributional Temporal-Difference Learning Particle Monte Carlo Tree Search MSPR: Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning Behavioral Guarantees for Proxy-Based Unlearning Stochastic Penalty-Barrier Method for Constrained Machine Learning To Call or Not to Call: Diagnosing Intrinsic Over-Calling Bias in LLM Agents Reinforcement Learning over Predictive Distributions for LLM Regression SeedER: Seed-Expand-Retrieve for Efficient Knowledge Graph Retrieval The Terminal Representation in Reinforcement Learning Task diversity produces systematic transfer but inhibits continual reinforcement learning Flow-Transformed Implicit Processes for Function-Space Variational Inference FFR: Forward-Forward Learning for Regression Mean-based algorithms: A lower bound and regret Express Language Modeling We Need Explanation Cards to Connect Explanation Algorithms to the Real World Explaining Attention with Program Synthesis Do Sparse Autoencoders Learn Meaningful Concept Hierarchies? Prime Fourier Embeddings: A Principled Basis for Modular Arithmetic Learning Probabilistic Filters with Strictly Proper Scoring Rules On the effectiveness of reward functions in reinforcement learning for confidence calibration of large language models Learning from Hindsight for VLA Reinforcement Learning Beyond Scaffold Splits: Structural-Frontier Evaluation Reveals Hidden Failures in ADMET Models Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare Variational-Ising-Attention:Tailored Attention Matters for Science Multi-Scale Structural Features for Continual, Comprehensible Visual Recognition in a Developmental Learning Framework EvoHarness-RL: Learning Runtime Harness Coordination for Self-Evolving Agents QUASAR: Lowering the Loss Floor of Quantization-Aware Training with Loss-Aware Reconstruction Reperesentation Geometry Matters for Planning with JEPA World Models PertMind: Eliciting Emergent Biological Reasoning in LLM via Reinforcement Learning on Cellular Perturbation Data Enhancing Distance-Based Graph Autoencoders with Structural Penalties for Dynamic Graph Embedding Systematic Evaluation of TabPFN-TS and Chronos-2 for Zero-Shot Heat Load Forecasting in District Heating Networks A Critical Audit of Spatiotemporal Forecasting Benchmark Datasets and Models Mapping the Emergence of Regularization-Driven Dynamics in Grokking The Latent Diagnostic Taxonomy: A Framework for Constructing Classifiers and Diagnosing Their Decisions, Applied to Prompt Injection Detection Contact Geometry and Covariance Deficits in Volume-Sampled Least Squares FedGuide: Diffusion Prior Alignment and Value Baseline Guidance for Heterogeneous Federated Reinforcement Learning Local Sparsity Enables Unsupervised LLM Safety Detection ValueDiff: Value-Geometric KV Cache Eviction for Sink-Suppressed LLMs Learning Hierarchical Causal Representations of the Effects of Forcings on Temperature in Climate Models Adaptive Latent Capacity for World Models SketchSSM: Write to the Full State, Read from a Compact Sketch PReCache: Efficient KV Cache Sharing for Multi-LoRA Agents via Low-Rank Precomputation and Neutral Reconstruction KVCMAS: Efficient KV cache Correction for Shared Context in Multi-Agent Systems ZonoGPT: Towards An Abstract Domain for Verifying Large GPT Models LionMuon: Alternating Spectral and Sign Descent for Efficient Training Storage Is Not Strategy: State-Conditioned Support Control for LLM Unlearning Shared Phase and Retention Control for Efficient Adaptive Spectral Recurrence Grand Canonical Generators Reward as Observation: Learning Reward-Based Policies for Rapid Adaptation Rate-Optimal Algorithm for Adversarial Linear CMDPs How Much Can Language Models Gain from Test-Time Computation? Does Scaling Reinforcement Learning Really Require More Training? SkillEvoLean: Mutation-enhanced skill evolution for Lean provers Distributed Learning with Selective State Space Models: Architecture-Aware Convergence Analysis SCAD: Structured Credit Assignment and Distillation for Long-Horizon Agents DePICT: Decision-Preserving Interface for Constrained Downstream Tasks Ideal Paths for Approximating Logistic Gradient Descent Trajectories at Large Initialization Consideration Circuits: Depth Separation and Universality Beyond a Single Softmax Bridging the EHR Divide: Asymmetric Contrastive Learning for Cross-National Medical Representation Transfer E$^2$-OPSD: Taming Entropy Overshoot in On-Policy Self-Distillation Best-of-$N$ Guidance for Test-time Diffusion Alignment Lossy Compression of PDE Training Inputs: Field Reconstruction Error Does Not Order the Cost to a Trained Operator Improving Proactive AI Assistance with Hierarchical Procedural Understanding To Learn is to Wander: Learning Across Graphs and Tasks with Random Walks Data-driven measures of high-frequency trading Diffusion Model-Based Video Editing: A Survey When Explanations Compete: Policy-Aware Selection Under Uncertainty Identifiability Analysis of Linear ODE Systems with Hidden Confounders Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study Boosting Large Language Models with Mask Fine-Tuning Improving Mixup Calibration with Wasserstein Distributionally Robust Optimization PuzzleJAX: A Benchmark for Reasoning and Learning AEGIS: Runtime-Guided GPU Collocation for Multi-Tenant Deep Learning Training Practical Feasibility of Gradient Inversion Attacks in Federated Learning Breaking the Mirror: Activation-Based Mitigation of Self-Preference in LLM Evaluators DRtool: An Interactive Tool for Analyzing High-Dimensional Clusterings Qubit-centric Transformer for Surface Code Decoding Beyond the Semicircle: Free Diffusion Models with Prescribed Equilibria PyDPF: A Python Package for Differentiable Particle Filtering Action-Driven Processes for Continuous-Time Control Machine learning Majorana topology using unsupervised and supervised learning Computationally efficient goodness-of-fit tests through kernelized Stein discrepancy Uncovering Cross-Objective Interference in Multi-Objective Alignment ReLoop: Structured Modeling and Behavioral Verification for Reliable LLM-Based Optimization [b] = [d] - [t] + [p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic World Properties without World Models: Distributional Associations and the Interpretation of Decoding Results from Language Models Deep Time-Series Forecasting in 10 Years: A Survey The Dual Mechanisms of Spatial Variable Binding in Vision-Language Models PRUE: A Practical Recipe for Field Boundary Segmentation at Scale Generalizable Dense Reward for Long-Horizon Robotic Tasks Algorithm Selection with Zero Domain Knowledge via Text Embeddings Von Neumann Networks XDecomposer: Learning Prior-Free Set Decomposition for Multiphase X-ray Diffraction Rethinking Adapter Placement: A Dominant Adaptation Module Perspective Learning Visual Feature-Based World Models via Residual Latent Action ForcingDAS: Unified and Robust Data Assimilation via Diffusion Forcing Voice "Cloning" is Style Transfer Online Conformal Prediction for Non-Exchangeable Panel Data Neural Scaling Laws for Jet Generation FHRFormer: A Self-Supervised Masked Transformer Framework for Fetal Heart Rate Time-Series Inpainting and Forecasting Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records SAE++: Cascaded Sparse Autoencoders Learn Multi-Level Visual Concepts in Multimodal LLMs Online Neural Space Time Memory for Dynamic Novel View Synthesis Token-Level Off-Policy Learning for Faithful Generation Under Distribution Shift Post-Grokking Collapse at the Representation-Readout Interface in Muon-Trained Transformers Do AI weather models miss extremes? Regime-Conditional Verification: Correctness Estimation for Adapting and Monitoring Safety Classifiers RIPE++: Reinforced Keypoint Learning from Positive Pairs Only When Similarity Is Interaction-Driven: Quantum Kernels for Regime-Sensitive Learning Beyond Procrustes distances: a multilinear Gromov-Wasserstein distance capturing chirality Generation of High-Level Concepts in 3D Scene Graphs via Autoregressive Diffusion "Train classical, deploy quantum" requires rethinking generalization VoxReason: Auditing Source-Grounded Speech Plans Before Synthesis SpliTEE: Fast and Private LLM Inference by Coupling GPU-Assisted Trusted Execution Environments with Differential Privacy Schedule optimization for tau-leaping in masked discrete diffusion ELF-REG: Scaling Continuous Diffusion Language Models to Reasoning Tasks KernelOPT: Dispatch-Aware Agentic Search for GPU Kernel Optimization Prediction Limits and Koopman Closure of Geometry-Induced Soft State Abstractions Action Shaping: Policies Absorb What They Can Express CLAD: Constrained Abstract Domain for Neural Network Verification FineART: Fine-Grained Annotated Robotic Trajectory Dataset and Vision-Language-Action Model for Bimanual Manipulation Completion Aware Guidance for World Action Models Sequential Capacity of Quantum Processes with Finite Memory Decoupling Memory from Context: Structured Memory for Token-Efficient Test-Time Continual Learning Verifiable, Articulable, and Tacit Components of Preference AID: A Framework for AI Infrastructure Dynamics SpecFold: Folding Multi-Branch Redundancy for Faster Speculative Decoding in Diffusion Language Models Incentive Alignment in Online Experimentation Quantum data loading from the learned shared structure of real signals A Response Theory Probe for Learned Stochastic AI Simulators, Tested on Lorenz-63Arxiv cs.AI
Training Numerical Intelligence via Auto-Diagnosis and Skill Discovery REACT: Physically and Chemically Consistent Reconstruction of Marine Active Tracers Proxy Confidence: Auditing Black-Box LLM Agents with a Surrogate's Log-Probabilities SGAnalog: An End-to-End Circuit Benchmark from Open-Source Silicon Tapeouts MLLMs Fail to Refuse when Using Tools Agentically Retrieval-Augmented Large Language Model Decision-Making for Autonomous Driving Guided by Chinese Philosophical Wisdom LatentQuant: Preserving the Policy-Facing Latent Contract under NVFP4 VAE Quantization ROAR: Unifying Runs across Heterogeneous AI-Driven Research Systems Teaching Agents to Code Reliably Behavioral History Outperforms Descriptions of the Person for LLM Synthetic Personas SkillScriptBench: Benchmarking Self-Evolution of Executable Agent Skill Packages Beyond Markdown Exploration-Preserving Policy Optimization Beyond the Parameter Monolith: Reconstructive Memories, Executable Skills, and Residual Assembly for Language Models A Quantitative Analysis of Graph Representation Strategies for Cyber Attack Detection The Reported Engagement with AI Level (REAL) Rating: A Framework for Disclosing Human-AI Collaboration Agent Policy-Value Audit: Separating Transition Composition from Event Selection in Financial LLM Agents The Cost of a Hop: Benchmarking NLIP and A2A Discrete Diffusion for Large Graph Generation via Structural Candidate Restriction Reinforcement Learning with Comparative Evidence for Social Intelligence Self-Propagating Misalignment in LLM Agents, and Why Auditing or Disabling Memory Is Not Enough Towards Safer Autonomous Driving in an Open World: A Dual-Process Approach The Independence Prior of SAEs Fragments Visual Concepts CUAWright: A Minimal Unified Interface for Digital Agents InvestigationWorlds: An Agentic Environment for Legal Investigation Auditing Pairwise Equivalence Judgments: Self-Critique Effects and Diversity Measurement in Multi-Agent Hypothesis Generation Agentic Cognitive Depth: Operational Criteria for Evaluating LLM Agents SHarP: Saliency-based Pruning of Agent Harnesses Language Model Activations Inhabit Privileged Error-Correcting Basins EvalResearchBench: Can AI Agents Design Their Own Evaluations? Agentic AI with Structured CoT for Enhancing AI's Spatial Intelligence: Visualization and Reasoning of Rotation MemLeak: Cross-User Semantic Leakage in Multi-Tenant AI Agent Memory Asynchronous Is Nearly Free for Evolution Strategies on Long-Horizon Agentic Tasks ALoDLM: Adaptively Looped Diffusion Language Models Fine-Tuning VLM for Enhancing AI's Spatial Intelligence: Understanding 3D and 2D Rotations TCMClinicalReason-Bench: Can Language Models Reason from Pathogenesis to Prescription over Real-World Clinical Cases? On the Steering Dimensionality of Refusal in Language Models Spec2Game: Can LLMs Generate Complete Playable Games from Detailed Specifications? CADForge: Agentic Single-View CAD Reconstruction with Explicit Geometry Reasoning Dense Neuro-Symbolic Reasoning in a Unified Geometry State VIGIL: Verifier-Informed Gated Improvement Loop for Spreadsheet Question Answering LMBuild: Evaluating LLM Agents for Generating Buildable and Functional Structures Language-Conditioned Token and Reasoning Efficiency in Large Language Models: A Paired Cross-Lingual Study Protocol EnvDreamer: Large-Scale Multimodal-to-Environment Generation for Embodied AI MOIRA: Mass-Oriented Indexing with Ragged Attention for Long-Context Decoding From Latent Space to Jacobian Space: Measuring, Evading, and Training Against Safety-Content Accessibility Bidirectional Preference Synthesis: Learning Prompt-Conditioned Preferences from Boundary Failures Suppressing Pressure, Amplifying Evidence: Self-Guided Attention Steering to Mitigate Sycophancy and Stubbornness ShadowMiner v1 - An Experience Report on Implementing and Measuring a Problem-and-Hypothesis Discovery Engine Functionally Equivalent or Not? Graph-Grounded Differential Surrogate Execution for Code Equivalence Do Tool Calls Execute as Intended? Measuring and Repairing Intent-Execution Correspondence in LLM Agents AgentPersonaBench: Benchmarking Persona-Driven User Simulation TrustMed-RL: Long-Horizon Reinforcement Learning for Evidence-Grounded Clinical Diagnosis TimeNet: An Extensible Unified Data Infrastructure for Next-Generation Temporal Foundation Models CORE-RL: Confidence-Oriented Reliability Evaluation of Black-Box Reinforcement Learning Policies Asking Earns Nothing: Scoring the Decision to Act in BFCL Multi-Turn MERCI Cards: An LLM Evaluation and Deployment Framework for High-Stakes Domains What Does a Harness Buy? Tokens, Mostly CRAFT: An Agentic Spreadsheet Form Filling System with Template Awareness RAGrasp: Geometry-Semantic Template Retrieval and Grasp Transfer Causally Fair Generation with Large Language Models Understanding Generative AI Use in Programming MOOCs: The Role of Course Context and Learner Characteristics Trinity: Self-Evolving Vision-Language Models with a Self-Verifier Reactivating Alignment: Defending LLMs from Jailbreaks via Intention-Aware Input-Output Matching Semantic Causal-Factor Inference from Aviation Incident Narratives Using A Variational Autoencoder with Cosine-Similarity-Based Reconstruction InferOpt: Constrained Multi-Objective Search for LLM Inference Configurations VCLMU: Mechanism-Centric Virtual Cell World Modeling for Perturbation Response ManifoldCache: Training-Free Diffusion Acceleration via Constraint Manifold Caching Towards Credible Agent-Based Policy Simulations: Disentangling Opportunities and Preferences in a Financial Inclusion Case Study of Egypt EvoCast: Reliable Autonomous Research Agents for Iterative Forecasting Architecture Evolution Action-Consequence Alignment for Reliable Planning and Self-Improving in Latent World Models Autonomous Structuring of Radiology Reports Across Modalities at Archive Scale Using an Open-Weight Large Language Model Decide, Ask, or Defer: Clinical LLMs under Incomplete Evidence Label Agreement Does Not Measure Authorization $\mathrm{TRIZ}^{a}$: Guiding Agent Evolution from Pattern Recognition to Solution Invention Recursive Improvement of a Differentiable Scientific Software Ecosystem Strong Helps Weak: Directional Cross-Modal Alignment Transfer in Multi-modal LLMs Bounds, Decompositions and Null Behaviour of KRATOS: A Mathematical Specification of a Recognition-Comparability Diagnostic LatentIndex: Cross-Layer Sharing with Layer-Specific Selection for Sparse Attention SEIS: Self-Evolving Inference Systems PermVLA: Factorization Order as a Regularizer for VLA Learning Efficient Neural Surrogates for Linear Radiation Transport on the Lattice and Hohlraum benchmarks A Tropical Geometry View of Forgetting: A Per-Unit Projector for Knowledge-Preserving Fine-Tuning MASBench: Benchmarking LLM-based Multi-Agent Collaboration under Partial Observability When Debate Helps: Proposal Supply and Verification-Aware Readout in Multi-Agent Reasoning RAGStress: A controlled benchmark for evaluating retrieval-augmented generation under knowledge-base degradation Penumbra: Sample-Efficient Adversarial Search for Regulatory Obligations Not Self-Decidable: LLMs Cannot Draw the Boundary of What an Agent Verifier Can Check Learning to Clarify Underspecified Intents Under Limited Interaction PyINE: A Framework for Scalable Elicitation and Oversight via Code Execution Toward a Locally Deployable Agentic Co-Scientist: Small-Model Planning for Early-Stage Drug Discovery Formalizing the Moral Evaluation of Speech Acts: Truthfulness, Lies and Ethical Dilemmas Agentic discovery of blood biomarker from distilled private health records Dynamic Routing as a New Dimension for Test-time Versatility of LLMs When Is Enough Enough in Self-Evolving LLM Systems? Not All Answers Are Contextually Persuadable: Inference Dynamics in Large Language Models under Contextual Influence Do More Modalities Always Help? A Geometric Perspective on Missing-Modality Robustness Pressure, Context, and Machine Self-Control: A Criminological Test of Reward Hacking in Generative AI Models Knowing the Store: What a Memory Backend Must Write Down Before an Agent Can Read It MedImageOSWorld: Benchmarking GUI Agents for Medical Image Consoles Agent Behavior as Code: Efficient and Robust LLM Agents with Programmatic Specifications DICE: Decoupling Capability from Intervention Necessity in LLM Tutoring MemTrace: State-Consistent Memory for Long-Horizon Coding Agents GitSwarm: Decentralized Compounding Inference From Memory to Guide: Spatio-Temporal Composer for Procedural Coding Memory SpecFold: Folding Multi-Branch Redundancy for Faster Speculative Decoding in Diffusion Language Models ForkPilot: Self-Evolving Policy for Retrospective Search in Long-Horizon Agents Self-Evaluating Recursive Agents VideoResearchAgent: Grounded Task Synthesis and Sim-to-Real RL for Open-Web Video Research Monitorability Disposition in Large Reasoning Models Are We Measuring Scientific Intelligence? Rethinking the Evaluation of AI Scientists Zero-Shot Time-Series Question Answering via Decoupled Perception and Reasoning BACAM: Behavior-Aware Continual Agent Merging for Multi-Turn Interaction Runtime Authorization of Self-Generated Subgoals in Long-Horizon Tool-Using AI Agents Do LLMs Understand Sequential Structure? A Controlled Study of Inference and Generation CIPO: Counterfactual Imagination Policy Optimization for Adaptive Tool Granularity Selection EmoRSS: Mitigating Emotion-Induced Over-Refusal in Large Language Models How corner is a corner case? Percentile control for highway scenario generation EVISKILL: Grounding Skill Evolution in Replayable Evidence CI-JEPA: A Counterfactual Analysis of Latent Representations in Joint-Embedding Predictive Architectures for Self-Supervised Learning Why, Where, How: Taxonomy-guided Error Grounding for Code Repair in NL2SQL SharpDraft: Accelerating Long-Context Speculative Decoding with Cardinality-Aware Query Scaling LexiHorizon: Stabilizing Reinforcement Learning for Long-Horizon Deep Search Memory Canonicalization: A Framework and Benchmark for Cross-Model Drift in Persistent LLM Memory AutoSciBench: Autonomous Benchmark Generation for Evaluating Scientific Agents R1A-PC: Physics-Guided Electromagnetic Inversion of Three-Dimensional Human Point Clouds in Complex Static Environments Beyond Instruction Following: Learning Grounded Skill-Following with Skill Contracts Memadapter: Counterfactual Adaptation Against Memory-induced Sycophancy A Safe Action Is Not Enough: Feasible-Future Decoding for Vision-Language-Action Policies CreativeFlow: A One-to-Many Analogical Relation Transfer Method for 3D Asset Generation AECG: Asymmetric Experience Consolidation and Governance In Multi-Agent Systems From Scientific Observations to Mechanisms: Benchmarking Hypothesis Generation by AI Scientists Image Synthesis as an Intermediate for Controllable Time Series Generation Safe Context Switching for Agents in the Wild: Mitigating Subspace Interference via Orthogonal Adaptation Look Before You Leap: Thermodynamic Arbitration of Parametric and Non-Parametric Knowledge in LLM Agents via Self-Regulating Memory Architectures GFGE: Unifying Explainable AI Methods through an Interpretation Framework Learning from imperfect teachers for low-resource acoustic generalization When Agent Context Goes Stale: Incoherence in Volatile Agent Context Fusion is the New Mutation: Bandit-Guided Evolution on Workflow Graphs Readable Before Actionable: Causal Tracing of Indirect Prompt Injection MESH-Harness: Self-Improving Agent Harnesses via Bandit-Guided Compositional Evolution AgentDiscover: Autonomous Discovery with Minimal Search Scaffolding EnGRICH: Enhancing Generative Reward Modeling with Critiques from Humans Learning Field Reconstruction from Incomplete Data by Globally Correcting Local Estimates Sibyl: An Efficient Small-large Model Collaboration Framework for Long-horizon Tasks MMPostTrainBench: Benchmarking Autonomous Research for Multimodal Post-Training CASE: Cost-Aware Stopping for Efficient Long-Video Agents PharmAgent: Constraint-Aware Search with Frozen Language Models for Molecular Optimization TeleTune: Evolving Agent Skills From Offline Telemetry AI Safety via Debate is Compromised by Cognitive Biases Hallucination Across the Reasoning Lifecycle: Interface Visibility, Causal Evidence, and Release Control in Large Reasoning Models Hierarchical Reinforcement Learning with Stable Temporal Abstraction for Language Model Agents CodeForge-MA: Execution-Verified Multi-Agent Learning with Language-Conditioned LoRA for Multilingual Code Generation SkillGATE: Gate-Aware Monte Carlo Tree Search for Skill Retrieval The Functional Structure of Post-Compression Recovery in Low-Rank LLMs What Does Fr\'echet Distance Measure? A Directional Decomposition Have I Scene This Before? Spatially Grounded Conversational Memory for Complex Queries in Egocentric Assistants DelegationBench: Measuring When AI Agents Should Ask Before Acting More Claims, Less Evidence: Bounded Verification of AI-Generated Digital Knowledge Artifacts LifeLong Digital Twin: A Unified Modeling Paradigm and Agent Harness for Event-Driven Lifelong Health State Trajectories Factoriax: A GPU-Accelerated Factorio-Style Simulator for Reinforcement Learning Better Retrieval, Limited Clustering Gains: A Controlled Study of Multilingual Company Entity Resolution DREAM: Dynamic Resolution Assignment For Multimodal Multi-agent Debate A Framework for Automated Multi-Source Satellite Data Analytics and LLM-Based Report Generation The GenAI4IDN Benchmark 3.0 - a Public Tool to Assess Generative AI Tools for the Design of Interactive Digital Narratives Visual Grounding Safety in Vision-Language Models How Should a Prompt Optimizer Spend a Tight Budget? BudgetAPO with Noise-Adaptive Evaluation Do Time-Series QA Systems Read the Time Series? Evidence Use and Reasoning Reliability Toward AI Trustworthiness: Finding Analytically Proven Forward-Invariant Sets for AI-Controlled Systems From Token-Max to Outcome-Max: How You Use AI Determines Its Productivity Second-Order Problem Solving for Recursive Self-Improvement in Formal Verification FreSia: Frequency-Semantic Instantiation and Alignment for Multivariate Time Series Analysis Mining Agent Skills from Production Traces Agentic-ZTA: A Multi-Agent Architecture for Autonomous Zero Trust Enforcement Topology-Conditioned Backdoors: Language Models That Insert Vulnerabilities When They Infer They Are in a Multi-Agent System A Testable Theory of Atomic Features DiMOS: Doob-Guided Inference-Time Multi-Objective Search for Scientific Design Nash Equilibrium Text: A Game-Theoretic Decoding Framework for Text Generation Data-Driven Personas for Survey Simulation: Insights into Simulation Alignment Across Data-Access Regimes Measurement-First Auditing of Agentic Leaderboards: Contamination Susceptibility, Matched-Control Re-evaluation, and Scorer Validation Request Order Matters: Cache-History Sensitivity in Selective KV-Cache Reuse for Rolling Agents MiniCorp: The Last Mile of the AI Agent Firm VERA: Scaling Verifiable Environments for Agentic co-Evolution Process Constitutions and Process Stewards: Towards the Next Generation of BPM for Agentic Organizations OntoInk: Interactive Ontology Visualization, Validation, and Reasoning Grounded Joint-Attention Other-Play for Zero-Shot Coordination RocketAgent: A Long-Horizon Engineering Agent for Multidisciplinary Design of Liquid-Rocket Thrust Chambers Benchmarking Jailbreak Guardrails for Embodied Agents On Impact of Loss Function on the Performance of Neural Networks in Melanoma Diagnosis Impact of Data Augmentation on Confidence Calibration in Melanoma Classification MS-Exam-Gen: Source-Grounded Benchmark Construction for Evaluating LLMs on Textual Multiple Sclerosis MRI Knowledge Auditable Clinical Timeline Reconstruction with Provenance-Aware Evidence Graphs Bridging the Evidence-to-Execution Gap:A Reflective Agent for Multi-Objective Peptide Design Judged Useless, Queried Anyway: Tool-Using Agents Rarely Turn Their Own Evidence Judgments into Stopping Decisions Copies or Sources? Measuring How LLM Aggregators Count Restated Evidence in Multi-Agent Systems Do Small Language Models Learn to Negotiate? A Controlled Scaling Study of RL-Trained Sellers AI-Decision Checkpoints for AI-Augmented Business Process Management: Framework and Educational Instantiation From Papers to Mechanisms: An Evidence-Grounded Knowledge Substrate for Scientific Language Models Evolving in Thought Space: Training a Small Model at Test Time Unlocks Better Discoveries DPNL: A DPLL-based Algorithm for Probabilistic Neurosymbolic Learning Teaching a Minimalist Machine to Discover Recursive Programs for Arithmetic RollPlace: Improving Macro Placement via Monte Carlo Rollout Search CRAFTER: Causality-based Self-adaptation for Autonomous IoT Systems ImproveAnyTask: An Autonomous Post-Training Harness for Iterative Model Self-Improvement GraphDecide: Benchmarking System One Models on Graph Tasks Capability-Driven Self-Evolution of Agent Memory CVIF: A Criticality-Driven Visual Intervention Framework for Geometric Diagram Understanding in MLLMs What Did the Agent Actually Do? Evidence-Grounded Oversight for Long-Horizon Agents From Benchmark to Bench: Can Agents Survive Real-World Drug Discovery? Multimodal Safety Evaluation Should Measure Controllability Beyond Classification Normality Constraint Learning: Adapting Foundation Models for Time Series Anomaly Detection AgentPrivArena: Evaluating and Auditing Real-world AI Agent Privacy GPlaceRL: An Open-Source Graph Reinforcement Learning Framework for Detailed Placement polyview: A Python package for multi-view machine learning You Changed Your Mind, The Model Didn't: Demystifying Intent in Multi-Turn Dialogue ANT: A Multi-Granularity Network Traffic Dataset and Benchmark for Agents Behavior Auditing Proof-Grounded Patient-Specific Clinical Explanations from Knowledge-Graph Reasoning Signature-Based Feature Learning for Human Activity Recognition: A Reproducible Machine Learning Study of Representation, Depth, and Model Choice HERA: Harness-Environment Co-Evolution for Reliable Agentic Abstention DGA-Muon: Decoupled Geometry-Aligned Adaptive Scaling for Muon Mind the Execution Gap: Action-Semantic Mismatch in World-Model Control The Review Lottery: Calibrating an Observational Estimator of Peer-Review Noise (ICLR 2017-2025) Can Agent Harnesses and Inference Engines Hear Each Other? The HEAR Protocol for Agentic LLM Serving FREA: A Multi-Source Expert Benchmark for Reaction Feasibility Verification Collective intelligence through aggregation Language models can notice an impossible engineering problem yet still report it as solved The Pushback Paradox: A Two-Probe Diagnostic for Language Model Compliance Conditional Rank Allocation for Taxonomy-Aware Medical Language Model Adaptation Back to the Future: Rethinking EDA Infrastructure for Agentic Systems in Chip Design Verification TasteVal: Measuring the Experimental Research Taste of AI Systems Against Human Experts BiasFlow: Geometric Monitoring and Backbone Regularization for Spurious Feature Reliance Orchestrating Specialized Agents for Trustworthy Enterprise RAG AI Agent Pull Requests on GitHub: Frequency, Structure, and Merge Conflict Rates Using Process Mining to Generate AI Agents from Software Engineering Process Records Beyond Private Training: The New Landscape of AI Privacy Response Variability and Stability in Human Reasoning Efficient Analog-Initialized Latent Transport for Spatially Coherent Probabilistic Downscaling from Global to Kilometer Scales Logit-Aware MIMO AirComp for Distributed Mixture-of-Experts LLM Inference over Wireless Edge Networks LoRA Adaptation Strength in Aurora-WRF: Trade-offs in Regional Heavy-Rainfall Forecasting Global Evaluation of AI and NWP Precipitation Forecasts During Atmospheric River Events BridgeCast: Bridging Ocean Wave Forecasts to Reanalysis via Flow Matching with Exogenous Variables Do Motion Tokenizers for Co-Speech Gesture Generation Encode Gesture Semantics? OceanMind: A multi-agent AI system for ocean diagnosis ProsaBuddy: Assisting Mechanized Real-Time Schedulability Analysis with LLM-based Agents WAMJET: A Harness for World Action Model Acceleration From Requirements to Attack Trees: Grounded LLM Agents for Design-Time Security Review The Score Is Not the Structure: Brain Alignment and Cross-Lingual Transfer Distribution Matching Evolutionary Algorithms for Rare Event Sampling SYNLAT: Syntax-Aligned Text-Latent Compression for Chain-of-Thought Reasoning Beware EviLLM: Enabling Vulnerability Injection via Large Language Models Retrieval-Centric Deep Learning in Growing Nonparametric Neural Networks GOTT: Object-centric Dexterous Manipulation with a Reusable Cross-Embodiment Primitive Streaming Multi-Track Timeline Control for 3D Human Motion Generation A Step Towards Forgetting: Optimiser History and the Loss of Answer Mass An Executable Benchmark for LLM-Based HLS Repair:Design Complexity and Repair Underconstraint Solving VeriContest with a Lean-Backed Rust Verifier Selective Backpropagation for Efficient Few-Shot Class-Incremental Learning Slaying the Hydra: Interaction-Aware Circuit Discovery in Language Models MAGEFormer: Learning Metric-Consistent Representations for Anisotropic CT Segmentation Reward-DAgger: Robot-Gated Interactive Imitation Learning with General-Purpose Progress-Based Reward Models A study on human-agent teaming through spoken interaction: the impact of human individual traits and agent characteristics AEGIS: Differentiable Mars Climate Model with Neural Closures Dependable AI-Assisted Engineering: A Formal Framework for AI Participation and Assurance in Safety-Critical Workflows DUET: Co-Evolving Solver and Grader Agents Robust blind unmixing: A geometric approach to overcoming basis variation SEER: Self-Evolving Event Reasoning and Retrieval for Time Series Forecasting Agent Reliability Profiles in Financial Services Representational Control over Self-Report & Behavior Coherence in LLM Risk-Taking PB-GRPO: Learning Socially Adaptive LLM Agents from Persona-Driven Simulation with Preference-Batched GRPO Agentic Resource Allocation for Batch Multi-Objective Bayesian Optimization in Autonomous Materials Discovery Dual-Scale Relational Graph Transformers for Ecosystem-Aware Fraud Detection Trajectory-Derived Confidence for Reliable, Resource-Aware Clinical Text-to-SQL Agents How RL Reshapes LLM Reasoning: Transferability, Coverage, and Scaling Laws Language Model Fingerprinting Requires Rethinking Watermark Teachers Risk-Calibrated Proposal Transport for Finite-Particle Diffusion Steering Clean: Second-order LLM Training at Linear Memory Cost via Nystr\"om Sketching CurveCodec 2: Skeleton-agnostic animation compression with a learned entropy model FTD-GNO: Memory-Efficient Graph Neural Operators through Functional Tensor Decomposition of the Kernel Adaptive Operator Selection in Bilevel Large Neighborhood Search for Electric Autonomous Dial-a-Ride Problem under Uncertainty Attention-Based Surface Representation Learning for Robot State Prediction and Open-Ended Surface Classification Benchmarking Psychological Dynamics in Generative Agents Playing social deduction games with reinforcement fine-tuned large language models AI-Enabled Quality Assurance for Multiple-Choice Assessment Items Rethinking Self-Distillation for Multi-Teacher Capability Merging First-Order Steering: Translating Weight Adaptation into Activation Steering CyTReX: Explainable AI-Based Cybersecurity Threat Reasoning Framework for DER Networks Scaling of Wireless Foundation Models via Representation Diversity and Multi-Branch Architectures RRM-GPT: A Framework and Vision for Radio Resource Management Foundation Models Questioning the Questions: Sustaining Self-Evolution in Reasoning Models What to Preserve in Recursive Computation: A Local Predictive Sufficiency Principle GrayShield: Bit-Level Sanitization for Transformer Model Supply-Chain Security System One Models for Wireless Decision-Making:Applications and Performance Evaluation A Bird's-Eye View of Iterative Reward Design Human Behavior-Informed Crash Scenario Generation with Real-World Crash Priors for Autonomous Vehicle Safety Evaluation COPEX: Benchmarking LLM Robustness to Adversarial Context Across Model Context Protocol Layers GlitchPatch: Repairing Glitch Tokens in Frozen Language Models via Local Retokenization XTurnix: Large-Scale Self-Supervised Turn Control through Two-State Binary Decisions Understanding and Mitigating Hallucination Escape in Tool-Using LLM Agents Specific Algorithmic Interpretability of Neural Networks: A Case Study on Textures Maximizing $p$-Mean Social Welfare in the High-Multiplicity Setting: Few Agent Types and Few Item Types MaDeL: Manifold-Decomposed Feature Losses for Generative Modeling AgroGround: Multi-Granularity Grounded Recognition in Agriculture COSMOS: Soft Mechanism Mixtures with Verifiable Routing for Long-Horizon PDE Forecasting Video2World: Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos Guess My Weight: Profiled Side-Channel Recovery of Floating-Point Neural-Network Weights Target-free Latent Safety Alignment Can LLM Agents Automate Reinforcement Learning for Text-to-Speech? Understanding Clustering in Slot Attention via Particle Dynamics Localization Lens for Improving Medical Vision-Language Models EgoExo-Next:Benchmarking Vision-Language Models on Visual-Option Next-State and Cross-View Reasoning Diffusion-Based Stress Testing of Overload Monitoring for Resilient Emergency Cellular Networks Using Internet CDR Proxies Quantifying Collusion Among Autonomous LLM Agents: A Statistical Analysis of the Collusion Wiki Incident Weight Decay and Neuron Condensation: A Three-Stage Analysis of Two-Layer ReLU Networks Cross-Modal Solar Image Synthesis: Adapting the Surya Foundation Model from He I 10830 {\AA} to EUV Translation and Coronal Hole Segmentation Coupling Noisy Pairwise Knowledge to the DAG Posterior for Causal Discovery Only Project Once: Projection-Adaptive Loss for Exact Constraint Satisfaction From Probe Scores to Alarm Policies: Operational Validity of Activation Monitors for Language-Model Agents Variational Quantum Attention for Molecular Graph Learning ConEx: Human-Interpretable Saliency Maps via Concept-Aware Attribution Policy as Data: Replay-Based Policy Dual Averaging via Advantage Regression GS-Codec: A Gaussian-Splatting Bottleneck for Neural Audio Coding RETRACE: From Entangled Repair Histories to Reusable Experience for CI Repair Extracting Persona Subspaces Through Iterative Nullspace Projection For Modulation Neurodiversity-Aware Multimodal Affective Computing for Neurodevelopmental Assessment: From Norm-Referenced Classification to Context-Sensitive Decision Support VoCa: Designing Speech-Canvas Interaction for Voice-Based Conversational Agents Organising Trajectory Evidence for Language-Model Agent Assurance: Fragments, Methods, and the Residual Towards Automatically Pruning Logging Code with Coding Agents: How Far Are We? Knossos and Ariadne: Benchmarking and Learning Complete Diagram Topology Extraction with Vision-Language Models Robot Learning with Visual Predicted Force More Value per Key: Asymmetric Sparse Attention for Faster LLM Decoding EasyClassifier: Honest, Reproducible Machine-Learning Classification for Researchers Who Do Not Program ARISE: Adaptive Agentic Reasoning with Image-grounded Self-Evaluation for Interpretable IBD Assessment Active-DiNTS: Active Differentiable Network Topology Search Separating Decision Time from Decision Quality in the Real-Time Gap of Distilled Deciders: Evidence from a Game and a Conveyor Simulator Viva La Vida: Verification and Accumulation Failures in Multi-Agent Proof Search Cluster Validation Indices as Self-Supervised Objectives for Text Representation Learning PIT-GCL: Protein Interaction using Topological Graph Contrastive Learning Invisible Ink, Visible Lies: How Production Watermarking Causes LLMs to Hallucinate Enhancing Long-Video VLM Embeddings with Query-Aware Streaming Latent Reasoning Greedy Local Learning for Language Model Pretraining: Gaps and Objective Design ResOPD: Tail Residualization for Sparse On-Policy Distillation SFlexRCA: Lightweight, Scalable, and Flexible Root Cause Analysis for IIoT Edge Systems A Systematic Analysis of the Predictive Power of LM Surprisal in Reading Chinese ScopeSAE: Model-Scope Feature Discovery with Interpretable Layer Selection Scaling Verifiable Environments for Long-horizon Work Agents Why Subliminal Learning Needs So Much Data: A Noisy Inverse View through Steering Vector Recovery PreAct-Nav: Agentic Reasoning Before Action for Urban Navigation Complex Agents, Shallow Tests: Demystifying and Enhancing Test Adequacy of Agent Harness in the Wild TSAE: Structured Sparse Autoencoders for Interpreting Time-Series Forecasting Models Assembling Insights for Agentic Machine Learning Engineering Systems DiVeR: Decision-Critical Verifier Learning for VLA Test-Time Scaling D-DOIT: Training-free Adaptation of Discrete Diffusion via Doob's h-Transform A Graph-Based Inspection and Intervention Tool for Assessing Mechanistic Learning in PINNs Software World Models: From Consequence Prediction to Decision Value TempoBridge: Source-Conditioned Flow Matching with Optimal Transport Couplings for Single-Cell Population Transitions A Unified Dynamics Framework for Reinforcement Learning and Classical Control of a Six-DOF Pipeline-Tracking ROV in NVIDIA Isaac Sim EDISCO: Equivariant DIScrete Diffusion for Euclidean Combinatorial Optimization Kapture: Capturing Cardiac Dynamics with Koopman-Governed Learning for Efficient Radar-Based Electrocardiogram Recovery TeleGen: Improving LLM-Based Web Application Generation via Runtime Telemetry Hidden Risks of Jev: An Empirical Study of Security, Privacy, and Dual Use Operational Abstractions of Neural Network Concepts via Topological Representations SparseCraft: Agentic Hardware-Software Co-Optimization for Sparse Computing Communication Shapes Collective Inference in Self-Adapting LLM Societies: Evidence from Mafia AraYoungVoices: A Diverse L1/L2 Corpus of Arabic Child and Adolescent Speech E$^2$-OPSD: Taming Entropy Overshoot in On-Policy Self-Distillation LogSig-SSM: Time-Series Modelling with Multi-Scale Log-Signature Compression for State-Space Models Discrete Action Matching: Learning Stochastic Dynamics from Samples via State Graphs Self-Generated Feedback Destabilizes Test-Time Training: A Causal Decomposition of Long-Horizon Adaptation Tracing a Sparse Emotion-Control Circuit in LLM-Based Text-to-Speech Direction-Conditioned Policies for Online Goal-Conditioned Reinforcement Learning ReMAP: Restoring the Perceptual Cycle with Reasoning-Time Latent Visual Memory VulValidate: Auditing Function-Level Vulnerability Labels with Executable Evidence Best-of-$N$ Guidance for Test-time Diffusion Alignment Bayesian Entropy-based Reordering for Calibrated Diffusion Language Models How Does Geometry Enter Generated Motion? Cross-Modal Contrastive Learning for the Retrieval of Immunotherapy-Associated Molecular Signatures from Histopathology Blocking at the Boundary: Auditing Long-Horizon Agents against Staged Prompt Injection Same Predictions, Different Harms: Causal Auditing of Patient World Models Vela: Scaling Vision-Language-Action Models with Adaptive Action Curve Parametrization EMG-GPT: Predictive Pretraining on Residual-Quantized EMG Tokens for Hand Pose Estimation Settling the Computational Complexity of Max-Min Allocation with Ternary Valuations Pythia: Toward Foundation World Models for Multimodal Time Series StateWise: Diagnosing and Repairing Persistent Operational State Before Agent Actions MGPO: Manifold-Guided Diffusion Alignment for Task-Aware Dataset Distillation Task-Aware Joint Pruning and Distillation for Efficient Audio Deepfake Detection Who Is Your Agent Serving? Provider-Side Indirect Prompt Injection in Proactive Agents When Verifiable Counts Depend on Wording: Auditing Wording Robustness in Instruction Following Revisiting Ground-Truth Synthesis from High-Speed Video: Exact Validity Conditions and an Audited Consumer Capture Corpus Characterizing Parallelism Strategies in LLM Inference: Fundamental Compute-Communication Trade-offs Grammar-Guided Code Watermarking with Green Temperature CoDance: Learning Reactive and Compliant Human-Humanoid Interaction from Video VAMPS: Visual and Motor Policies from Sampling-Based Planning Green-Routed Neural Operators:\\Physics Determines Where the Network Reads On Semi-Markov Suboptimality in Hierarchical Reinforcement Learning IRSTD-Agent: Agentic Infrared Small Target Detection via Zoom-Guided Interaction Learning Reflections and Fragments: Securing LLMs Against Sequential Mosaic Attacks Rethinking Tabular Foundation Models On Data Streams Optimal Control with Learned Critics under Unmodeled State Dependencies AIProver: Agentic Auto-Formalization of Mathematical Research via Certificate-Driven Evolving Harness AutoDP-LLM: Automating Data Pre-processing for Intrusion Detection Systems using Large Language Models Distributed Subliminal Learning: Replacing Model Updates with Random-Carrier Outputs Does Explainability Survive Data Drift? GNN-CB: A Graph Neural Network Competition Benchmark for Human and LLM Evaluation No Concept Escapes the Audit: Auditing-Aware Unlearning for Verifiable Concept Erasure in Diffusion Models BeliefGraph-JEPA: Structured Latent World Models for Action-Conditioned Time Series A Strong Baseline for Evaluating Vision Encoders in Multimodal Large Language Models Hierarchical Time-aware Bootstrapping for Off-Policy Subgoal Value Learning Human-Like Attention? A Psychophysical Comparison of Visual Search in Humans and MLLMs Population Scaling or Data Dilution? Dynamics of Local Topology Evolution in Decentralized Learning Reflecting on Creative-Boundaries with an AI Co-Doodler FLEX-WAM: Flexible Block-Causal World-Action Models for Long-Horizon Imagination and Planning What Does a Harness Repair? A Preregistered Study of Visibility, Baseline Adequacy and Evaluation Defects LiFT: Loop Flow Transformers Don't Judge an LLM Only by Its Activations: Discovering Suppressed Safety Features via Counterfactual Activation Potential Soft Strategy Selection for Batch-Mode Active Learning Cut Binary Cross Entropy: Efficient Large-Vocabulary Loss and Gradient Kernels for Sequential Recommendation G-CARB: Graph-Localized Conformal Agent Risk Budget for Compositional Harm Scenario-Based Compositional Statistical Model Checking for Safety Specifications Can Prosodic Style Be Inferred from Text Alone? Evidence from Unsupervised Acoustic Clusters What Does an Observability Foundation Model Know? Expanding LLM Reasoning AgentDoxx: Agentic Re-identification of Anonymized Text with Web Search When the Cross-Silo Federation Goes Offline: Continual Learning for Site Onboarding with Limited Unlabeled Data An LLM-in-the-loop RL Framework for Bioinformatics Feature Selection Your Unlearning Gives You Away: Identifying Erased Concepts in Diffusion Models Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation SEA-LM: Egocentric Spatial Audio Understanding for Wearable Microphone Arrays UndoBench: Separating Task Competence from Recovery Capability in Tool-Using AI Agents Transformer-Based Time-Series Inference of Lindblad Dynamics in Open Quantum Systems Knowing the Rules, Applying the Rules: Evaluating Language Models on Traditional Chinese Bazi Two-Sample Testing via Path-based Inference Nexus: An Execution Fabric for AI Agents Across Cloud, Edge, and Devices SimpleMark: Fast Multi-Bit Text Watermarking under f -Divergence Constraints Rotated, but How Far? Diagnosing and Improving Object-Rotation Reasoning in VLMs HLA-WM: Hybrid Linear Attention for Long-Horizon Video World Models CIPHER-MoE: Balancing Efficiency and Routing Fidelity in Trillion-Scale MoE Training Beyond Semantic Similarity: Performance and Costs of Agentic Retrieval for Complex Tasks Relational Synthesis: Structure-Mediated Concatenative Synthesis for Foley and Retrieval-Augmented Audio Generation CLARA: Can AI Assess Developmental Appropriateness in Children's Stories? Protocol-Sensitive Evaluation of Log Anomaly Detection: Component Costs and Target-Access Sensitivity on HDFS and BGL Level-of-Token Diffusion Who Keeps the Gains from Personal AI Assistants? Seller Adaptation and the Unassisted in a Language-Model Market Simulation Selecting Long-Horizon Trajectories for Reliable and Efficient Terminal-Agent Training CACFG: Curvature-Aware Classifier-Free Guidance and Optimal Control Hierarchical Reinforcement Learning for Collision-Free Locomotion of an Underactuated Biped Curriculum Brain: Constructing Curriculum Knowledge Graphs as a Substrate for Cognitive Diagnosis Imagine to Act: High-Fidelity Data Synthesis via Image Editing World Model for Scalable GUI Agent Training CCQ: A Multi-State Child Care Quality Dataset to Support AI for Children's Health Research Weave Mamba Fusion: Global Cross-Scale Interaction for Lightweight Face Detection Off-Policy Merging Beats On-Policy Self-Distillation for Continual Learning OGAM: Connecting Systematic Testing to Runtime Assurance through Object-Grounded Attention Monitoring for VLA Policies TasteRoute: Personalized Routing for Video Generation On Hyperparameter Tuning on the Test Set Non-invasive Seizure Detection Using Wearable Wrist-worn Accelerometry and Deep Learning Incentive Alignment in Online Experimentation UltraDub: Towards Authentic Dubbing by Unifying Visually-Steered Flow Learning and Trajectory Guidance ThunderSyncRL: Lossless Acceleration of Agentic Reinforcement Learning ReMem: Streaming Video Understanding With Long Context Retention Runaway Reaction: When Benign Skills Compose into Malicious Behavior Physics-Informed but Not Physics-Consistent: Error Geometry and Subspace Projection for Neural AC Power Flow HuatuoGPT-3: RL-Only Domain Adaptation from Base Models JLD: Perceptual Distance Through A Jacobian Lens Transfer-Stratified On-Policy Distillation for RL-Improved Reasoning Teachers EpicWorldModel: Exploration-driven Planning with Latent World Models AgentSpy: Making AI Agent Behavior Observable Parallelism or Concession? Concurrency-Aware Procurement Negotiation for Agentic Commerce Investigating Query-Insensitive Behavior in Spatio-Temporal Video Grounding Adaptive Expert Guidance for Efficient On-Policy Reinforcement Learning Scalable Minimal-Change Learning for Controllable Image Editing Differentiable Bit-Widths: Co-optimizing Pruning and Quantization via SVD for Ultra-Efficient LLM Compression LightMTP: Lightweight Latent Multi-Token Prediction MercerFlow: Flow Matching in a Kernel-Induced Latent Space for Probabilistic Forecasting Representation Disentanglement for Fair Chest X-Ray Diagnosis Backdooring Sparse Autoencoders Local2Mesh: Spatially Localized Contour-to-Mesh for Left Ventricular Reconstruction from Sparse 2D Cardiac MRI ROT: Rotating Hidden States towards Contextual Vectors for Hallucination Mitigation in LVLMs A Comprehensive Objective Evaluation of Modern Text-to-Speech for Turkish Using Speech Quality Assessment Models Vision Transformer Ensembles for Panoramic Street Segmentation Attention Tax, Handoff Tax: A Stylised Model of When Multi-Agent LLM Systems Help Do VLAs Understand and Adapt to the Objects They Handle, or Simply Replay Learned Behaviors? Boosting Transferable Adversarial Attacks against Deep Reinforcement Learning Adaptive Mean Flow for Responsive Closed-Loop Robot Control Cross-Lingual Transferability of Training Data Extraction Attacks to Recover Memorized PII On the Geometry of Multimodal Saturation: Riemannian VICReg Machine learning for journal entry testing: A type-aware evaluation of anomaly detectors under a review budget Where Did the Repair First Go Wrong? Localizing the Origins of Silent Failures in Agentic Vulnerability Repair Anosognosia in LLMs: Probing Self-Awareness of Quantized Computational Substrate Anlu: Enabling In-Context Time Series Anomaly Detection in Foundation Models via Counterfactual Supervision Correct Code, Broken Contributions? SWE-CC: Benchmarking Repository Policy Compliance for Coding Agents Cross-lingual Calibration of Pre-Generation Success Probes for Multilingual LLM Routing APOD: reasoning-guided agentic population ordinary differential equation discovery for pharmacological digital twins SO(3)-RoPE for Spherical Transformers Joint Class-Time Learning for Video Classification with Multi-Instance Partial-Label Learning Artificial Intelligence and the New Science of Culture Few-Shot Prototype Head Adaptation for On-Device ECG Personalization on PSoC~6 CentriQ: Calibration-Free Quantization of Diffusion Transformers via Exact Mean Centering Ramp Metering Control via Hybrid State Deep Reinforcement Learning in Partially Observable Connected Vehicle Environments VLA-ZO: Fast Zeroth-Order Adaptation for Vision-Language-Action Models Future Anchored Verification and Online Recovery for World Action Models When Are Concept Bottleneck Model Explanations Faithful and Compact? GAMBIT: Learning to Plan Continuous Multi-Robot Trajectories DialectSentEval 2026: Arabic Dialect Sentiment Analysis and Swapping Shared Task Wiring Matters: Injection Topology and Initialization of Affordance Heads in Vision-Language-Action Policies Agentic schema-guided extraction of materials process knowledge from scientific literature Fine-Tuning a 3B-Parameter LLM on a Smartphone: Characterizing Sustained Training MeSD: Multi-Evidence Self-Distillation for VideoLLM Steering by Influence: Curvature Aware Data Weighting for Activation Steering Scaling Down the Scaling Laws: Parameter Efficiency and Compute-Optimal Training in Resource-Constrained Large Language Models RAISED: Self-Distillation for Robustness to Prompt Injection in LLM Agents Quantifying the Stability of Multi-Step Reasoning via Error Amplification SpatialChain: A Benchmark for Auditing Spatial Reasoning Faithfulness in VLMs Toward Reliable Infant Pose Estimation: A Training-Dynamics Approach to Noisy Annotation Detection SoK: Semantic Decision Engines in Network Control Loops Valid Stopping in Adaptive Generator-Verifier Loops Better Call Reward: Reward Hacking as Strategic Abstention in Legal Reasoning Models ARO: Aligned Representation learning for multi-Omics data Choosing an energy-efficient software architecture for building system diagnostic support The Assistance Dilemma: Learning to Teach via Multi-Turn Reinforcement Learning A Physics-Guided Transformer Framework for Electromigration Analysis in Multi-Segment Interconnects Latent Flow Matching for Molecular Graph Generation Odyssey: A Closed-Loop Benchmark for Long-Horizon Real-World Driving with Explicit Navigation Routes Topology-Informed Prompt-Conditioned Universal Segmentation of Uterine Structures from Ultrasound and MRI Harmful Content Generation in Text-to-Image Models: Capabilities and Moderation Limitations ArtifactArena: Evaluating Models by What They Build in the Physical World GCTAuto-encoder: A Cross modal Framework for Security Flaw Detection in IoT Networks Anatomy of LLM Sycophancy: What a Flip Rate Hides Symmetry and AI-assisted discovery of magic-state factories BrainTRACE: Tracing Longitudinal, Multimodal, and Volumetric Evidence in Brain MRI Clinical Reasoning Does AI Help Cyber Attackers or Defenders? Evidence from Nonpublic Vulnerabilities and Subsequent Attacks Mind the Accent Gap: British Accent Robustness in Speech-Driven Financial Voice Assistants SimForcing: Distilling Simulation Motion Priors into Real-Domain Robot World Models Word-Level Text Unmixing via Evidence-Preserving Ownership Routing with Language Models Frozen Factor or Spectral Band? Disentangling Two Choices in Low-Rank LoRA Large Language Model-Guided Discovery of Weight-Five Bivariate Bicycle Codes Differentially Private Mixing of Public Datasets Improves Private Learning AffordCraft: Scalable Construction of Task-Ready Simulation Assets from Single Images VideoTapestry: Query-Adaptive Memory Refinement for Multi-Agent Long-Video Understanding Closing the Context Gap: Activation Alignment for Tabular In-Context Learning BRANCH-MoE: Balance-Aware Tree Routing for Large Embedding Models BazaarBench: Delegation Safety in Decentralized C2C Marketplaces Run by LLM Agents Balancing Memory Pathways: Analyzing and Improving Memory Utilization in Hybrid LMs MatrixFormer: A Foundation Model for Matrix Completion IdeaLens: Detecting AI Ideas in Long-form Writing MC-Sparse: Deconstructing and Closing the Dense-Sparse Attention Gap in Diffusion Transformers Sharpen Without Search: On-Policy Distillation of Sequence-Level Power Distribution TAPDreamer: Transferable Adversarial Patches for World Action Models Paradee: Distilling Kokoro-82M into an 8M-Parameter Single-Voice Text-to-Speech Model Deep Learning for Sleep Heart Rate Estimation from Accelerometers: Toward Population-Scale Cardiac Insight Without Optical Sensors CLIFT: Conformal Self-Verification for Web Agent Training and Test-Time Scaling MemPilot: Orchestrating On-Demand Multimodal Memory Curation for LLM Agents UniSlider: Perceptually Uniform Sliders for Continuous Image Editing Recursive Video In-Context Learning for Agentic Robot Learning to Read the Contextual Tokens in Diffusion Transformers Base Models Can Reason By Taking a Cue From Training Data One Figure, Every Canvas: Editable Flowchart Relayout via Agentic Pipeline GFPack++: Attention-Driven Gradient Fields for Optimizing 2D Irregular Packing Answer Set Networks: Casting Answer Set Programming into Deep Learning Towards LLM Agents for Earth Observation OpenPhone: Mobile Agentic Foundation Models PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic An Empirical Study of On-Device Translation for Real-Time Live-Stream Chat on Mobile Devices Neutral Substrates: A Design Constraint for Shared Records Under Persistent Interpretive Disagreement When Is Enough Not Enough? Illusory Completion in Search Agents AI Mental Models: Learned Intuition and Deliberation in a Bounded Neural Architecture ReLope: From Hidden-State Probing to a Decision Module for Multimodal LLM Routing The Ultimate Tutorial for AI-driven Scale Development in Generative Psychometrics: Releasing AIGENIE from its Bottle AI Assistance Reduces Persistence and Hurts Independent Performance High-Precision Estimation of the State-Space Complexity of Shogi via the Monte Carlo Method DERM-3R: A Resource-Efficient Multimodal Agents Framework for Dermatologic Diagnosis and Treatment in Real-World Clinical Settings Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions From Tool to Agent: How Worker Needs Reorganize Across the Agentic Roles of Workplace AI EnvSimBench: A Benchmark for Evaluating and Improving LLM-Based Environment Simulation Agentic AI Scientists Are Not Built For Autonomous Scientific Discovery PiCA: Pivot-Based Credit Assignment for Search Agentic Reinforcement Learning MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs An Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing Inference-Time Amplification of Weak Reasoning Models Grounded Continuation: A Linear-Time Runtime Verifier for LLM Conversations From Table to Cell: Attention for Better Reasoning with TABALIGN Nudging Beyond the Comfort Zone: Efficient Strategy-Guided Exploration for RLVR ECG-WM: A Physiology-Informed ECG World Model for Clinical Intervention Simulation Agentic Trading: When LLM Agents Meet Financial Markets Towards Direct Evaluation of Harness Optimizers via Priority Ranking Dr-CiK: A Benchmark testing Deep Research for Context-Aided Forecasting Plant, Persist, Trigger: Sleeper Attack on Large Language Model Agents MEMENTO: Leveraging Web as a Learning Signal for Low-Data Domains Characterizing How Complex Agentic AI Systems Handle General Tasks: A Trace-Based Simulation Study Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on Vehicle Routing Problems Scaling Participation in Modular AI Systems Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators CIAware-Bench: Benchmarking Control Intervention Awareness Across Frontier LLMs SelfEvoSkill: Paired Execution Audits for Skill Revision without External Outcome Supervision RTSGameBench: An RTS Benchmark for Strategic Reasoning by Vision-Language Models Agent MechSuits: Mechanistic Subspace Safety Steering for Multi-Turn CLI Agents DART: Draft-Agreement Routing for Training-Free Adaptive Thinking Budgets in Hybrid Reasoning Models TIPS: Topological Ill-Posedness Probing and Steering in Large Language Models MORPH: Generative Retrieval via Diffusion Transformer with Metric-Ordered Sequence Training and Hybrid-Policy Preference Optimization Look-Before-Move: Narrative-Grounded World Visual Attention in Dynamic 3D Story Worlds Beyond Compilation: Evaluating Faithful Natural-Language-to-Lean Statement Formalization Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction Subliminal Clocks: Latent Time Modelling in Diffusion Language Models AgenticPD: A Stage-Aware Agentic Framework for Closed-Loop Physical Design Optimization The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI Measuring Intelligence Beyond Human Scale Rethinking the Evaluation of Harness Evolution for Agents What Keeps Vision-Language Models Looking at the Image? Cura 1T: Healthcare Foundation Model via Recursive Self-Improvement A Dual-Hypothesis Reasoning Framework for LLM Guardrails Neuro-Symbolic Meta-Policies for Temporal Knowledge-Graph Memory under Partial Observability TILT: Model-Intrinsic Reward Alignment For Compositional Diffusion Deconstructing Off-Policy Ratios: Entropy-Normalized Trust Regions for Asynchronous Reinforcement Learning Towards Trustworthy Physical Intelligence: From Theory to Practice Across Life Cycle Dimensionality and Measurement Precision in HLE's Multiple-Choice Subset SKILL-KD: Contrastive Skill Distillation for LLM Agents RA-CAD: Learning Post-Execution Critique for State-Aware Text-to-CAD Generation NxN E-valuation: Hypothesis Certification via a Conformal CRT Null The Value of a Prompt: An LLM-Relative Kolmogorov-Complexity Approach CTIFoundry: An Agent-Native Corpus Scaffold for Cyber Threat Intelligence Hidden in the Request: Explaining Unethical LLM Compliance through Token Relevance Towards Reliable, Generalizable, and Specific In-Context Knowledge Editing via Multi-Objective Reinforcement Learning RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requests SEPO: Evidence-Grounded Prompt Optimization via Structural Editing DramaChain Bench: An End-to-End Benchmark for Short-Drama Generation Can LLMs Discover Scientific Laws in Real and Parallel Worlds? Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning A Function-Space Approach to the Statistical Mechanics of Learning Dynamics Reading the Whole Heart: Latent-Attention Masked Autoencoders for Multimodal Cardiac Representation Learning Schizophrenia Detection from EEG Signals: A Transformer Framework with Spectrogram Representation EnterpriseVal: Quantifying the Efficacy, Reliability and Value of Generative AI in the Enterprise When No One Owns the Judgment: Accountability Under Contribution Dissolution in Human-AI Collaboration SWE-Prometheus: Measuring Engineering Governance Improvements in Real-World Repositories AtomWorld-Mem: Memory-Restored World States for Long-Horizon Atomistic Evolution Dude, Where's My State? Execution Information Requirements for Stateful Agents FedMHAR: Federated Multimodal Human Activity Recognition using Multi-Agent Reinforcement Learning Robust Biomolecular Complex Design Across Protein Conformational Landscapes Curating Merchant-Matching Training Data with Two Confidence-Gated Local LLM Judges Jev in Medicine: A Benchmark Evaluation ReplayLens: Auditing Agents' Use of Outcomes PhoneCLI: From App Interfaces to Callable Commands for Mobile Agents Learn from the Gap: Differential-Aware Advantage Pruning with Adaptive Rollout Sampling for GRPO ReMem: Rethinking Perception and Memory in Long-Context Recommendation Agents EnterpriseBench: Benchmarking LLM Agents on Enterprise-Level Strategic Reasoning and Decision-Making Adam under Generalized Smoothness with Second-Moment-Type Stochastic Gradients Advancing Entropy-Level Credit Assignment in RLVR via Proximal Entropy Policy Optimization ChronoGraph: Functional 4D Scene Graphs with Vision-Language Models for Interaction Understanding and Grounded Planning Safety of Latent Communication in Multi-Agent Systems Pay for the Fault, Not the Flow: Label-Free In-Flow Multi-Agent Workflow Optimization PRISM: A Category-Theoretic Framework for Measuring and Refining Multimodal Analogies Rethinking Probability-Based Reinforcement Learning From Posterior Concentration RealCompanion: Benchmarking Human Understanding from Reasoning over Longitudinal Real-World Conversations Mitigating Social Sycophancy via Pluralistic Preference Optimization Geometry Meets Physics: Data-Efficient Pre-Training for Unstructured Neural PDE Solvers Multilingual GSM-Symbolic: What determines capability transfer across languages? Understanding Certified Training with Interval Bound Propagation PPFedIT: Towards Privacy-Preserving Federated Instruction Tuning with Few-shot Local Examples CHAOSMINING: Benchmarking Post-Hoc Attribution with Sparse Informative Features in High Dimensions Efficient Hierarchical Transformers for Representing Log Data HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation Screw Geometry Meets Bandits: Incremental Acquisition of Demonstrations to Generate Manipulation Plans MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification Robotic Long-Horizon Manipulation with Progressive In-Context Code Generation and Episodic Feedback Robotic Long-Horizon Manipulation with Bayesian Non-parametric Skill Priors Erased but Not Forgotten: How Backdoors Compromise Concept Erasure A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI Graph-Based Floor Separation Using Node Embeddings and Clustering of WiFi Trajectories Using Echo-State Networks to Reproduce Rare Events in Chaotic Systems Anomaly Detection and Generation with Diffusion Models: A Survey EduAlign: Aligning Educational LLMs for Helpfulness, Personalization, and Creativity OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and Distillation Enhancing Knowledge Tracing through Leakage-Free and Recency-Aware Embeddings ZeST: an VLM-based Zero-Shot Traversability Navigation for Unknown Environments COCORELI: Enforcing Execution Preconditions for Reliable Collaborative Instruction Following Physics-informed GNN for medium-high voltage AC power flow with edge-aware attention and line search correction operator PATCH: Learnable Tile-level Hybrid Sparsity for LLMs Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers Neural Bayesian Filtering Inverse Mixed-Integer Programming: Learning Constraints then Objective Functions FreshBrew: A Benchmark for Evaluating AI Agents on Java Code Migration Demystifying Hybrid Thinking: Can LLMs Truly Switch Between Think and No-Think? MCA: Modality Composition Awareness for Robust Composed Multimodal Retrieval A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning Learning Granger Causality under Latent Confounding via Intervention-Induced Heterogeneity User Misconceptions of LLM-Based Conversational Programming Assistants MedForj: An open, large-scale foundational generative prior for high-resolution 3D brain MRI Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities DeNoise: Learning Robust Graph Representations for Unsupervised Graph-Level Anomaly Detection ProDER: A Continual Learning Approach for Fault Classification and Localization in Evolving Smart Grids Scalable Decision Making for Games of Imperfect Information Global Optimization on Graph-Structured Data via Gaussian Processes with Spectral Representations Bi-objective chance-constrained evolutionary optimization for large-scale open-pit mine scheduling under geological uncertainty EulerESG: Automating ESG Disclosure Analysis with LLMs Hierarchical Decentralized Multi-Agent Coordination with Privacy-Preserving Knowledge Sharing: Extending AgentNet for Scalable Autonomous Systems Mixed Data Clustering Survey and Challenges The Universal Weight Subspace Hypothesis Towards Optimal Valve Prescription for Transcatheter Aortic Valve Replacement (TAVR) Surgery: A Machine Learning Approach Contrastive Time Series Forecasting with Anomalies Memory as Resonance: A Biomimetic Architecture for Infinite Context Memory on Ergodic Phonetic Manifolds Symphonym: Universal Phonetic Embeddings for Cross-Script Toponym Matching ATOD: An Evaluation Framework and Benchmark for Agentic Task-Oriented Dialogue Systems Vulnerability of LLMs' Stated Beliefs? LLMs Belief Resistance Check Through Strategic Persuasive Conversation Interventions FlashMoE: Reducing SSD I/O Bottlenecks via ML-Based Cache Replacement for Mixture-of-Experts Inference on Edge Devices De-occluding broadband metalens Routing-Aware Safety Alignment for Mixture-of-Experts Models VIRENA: Virtual Arena for Research, Education, and Democratic Innovation Same Pieces, Different Servers: A Tetris Benchmark for AI Agents as Served Dissecting Quantization Error: A Concentration-Alignment Perspective RAC: Rectified Flow Auto Coder Towards Robust Speech Deepfake Detection via Human-Inspired Reasoning COMIC: Agentic Sketch Comedy Generation You've Got a Golden Ticket: Improving Generative Robot Policies With A Single Noise Vector Multi-Agent Reinforcement Learning Counteracts Delayed CSI in Multi-Satellite Systems Beyond TVLA: Anderson-Darling Leakage Assessment for Neural Network Side-Channel Leakage Detection DeepStock: Reinforcement Learning with Policy Regularizations for Inventory Management WebNavigator: Global Web Navigation via Interaction Graph Retrieval MDKeyChunker: What Does One LLM Call per Chunk Buy for Markdown Retrieval? Pre-Deployment Complexity Estimation for Federated Perception Systems Sven: Singular Value Descent as a Computationally Efficient Natural Gradient Method An AI Teaching Assistant for Motion Picture Engineering $\pi^2$: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models A Self-Calibrating Framework for Analog Circuit Sizing Using LLM-Derived Analytical Equations On the use of evolutionary optimization for the dynamic chance constrained open-pit mine scheduling problem Evaluating a Layered Prompt-Injection Defence for the Model Context Protocol: A Record-Level Audit of Decision Conventions, Corpus Provenance and Reproducibility PSI-Bench: Interpretable and Clinically Meaningful Evaluation of Depression Patient Simulators VIDA: A Dataset for Visually Dependent Ambiguity in Multimodal Machine Translation Learning to Theorize the World from Observation Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems Is Escalation Worth It? On the Depth of LLM Cascades PLOT: Progressive Localization via Optimal Transport in Neural Causal Abstraction Mask2Cause: Temporal Causal Discovery Beyond Causality in Mean Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States The Endogeneity of Miscalibration: Impossibility and Escape in Scored Reporting TIDES: Implicit Time-Awareness in Selective State Space Models NCO: A Versatile Plug-in for Handling Negative Constraints in Decoding When Can Digital Personas Reliably Approximate Human Survey Findings? Premover: Fast Vision-Language-Action Control via Early Execution During Instruction Delivery Large Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safety AgentLens: Revealing The Lucky Pass Problem in SWE-Agent Evaluation Analog RF Computing: A New Paradigm for Energy-Efficient Edge AI Over MU-MIMO Systems Text Knows What, Tables Know When: Clinical Timeline Reconstruction via Retrieval-Augmented Multimodal Alignment GraViti: Graph-Level Variational Autoencoders with Relaxed Permutation Invariance An Assessment of Human vs. Model Uncertainty in Soft-Label Learning and Calibration PopPy: Opportunistically Exploiting Parallelism in Python Agentic Workflows Less Back-and-Forth: A Comparative Study of Structured Prompting TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization Transcoders Trace Visual Grounding and Hallucinations in Vision-Language Models The TIME Machine: On The Power of Motion for Efficient Perception DrawVideo: Grounded and Faithful Multi-Shot Video Generation from Storyboard Keyframe Sketches EchoDistill: Robust Large Audio Language Models via Noisy-to-Clean Self-Distillation Measuring the Depth of LLM Unlearning via Activation Patching A Controlled Synthetic Benchmark for Educational Aspect-Based Sentiment Analysis Erased but Exploitable: Black-box Embedding-Aware Prompting Against Unlearned Text-to-Image Diffusion Models vSV-ViT: Variable-size SuperVertex Vision Transformer for Cortical Surface Learning in Alzheimer's Disease CiteCheck: Retrieval-Grounded Detection of LLM Citation Hallucinations in Scientific Text Brain-IT-VQA: From Brain Signals to Answers EUDAIMONIA: Evaluating Undesirable Dynamics in AI SWIM: Compact Environment Representation for Reinforcement Learning Human Swimming GEM: Geometric Erasure by Contrastive Velocity Matching in Rectified Flows EPIC: Efficient and Parallel Inference under CFG Constraints for Diffusion Language Models Low-Resource Safety Failures Are Action Failures, Not Representation Failures All you need to break LLMs are Black-Box, Adapting, Efficient, Transferable, Harmful, Applicable ... Attacks A Goal-Set Characterization of Task Composition in the Boolean Task Algebra Benchmarks in Leipzig LatentWave: JEPA Pretraining for Wireless Foundation Models MMBU: A Massive Multi-modal Biomedical Understanding Benchmark to Probe the Perception Capabilities of Vision-Language Models STREAM: Stochastic Riemannian Flow Matching with Anisotropic Decoder for Digital Histopathology Image Generation CultureScore: Evaluating Cultural Faithfulness in Video Generation Models LEAF: Growing Trees Without Branching for Speech-Aware Large Language Model Post-Training Decentralized Multi-Agent Systems with Shared Context Gefen: Optimized Stochastic Optimizer Machine learning modeling of hit-into-play probability and quantification of pitch sequence effects EG-VQA: Benchmarking Verifiable Video Question Answering with Grounded Temporal Evidence Narrative-UFET: Narrative Generation for Ultra-Fine Entity Typing Behavior Uncloning: Distilling Mode Redirection into Policy Weights without Inference-Time Steering Multi-Level Distributional Entropy from Flow Summary Statistics for Explainable Network Intrusion Detection Anchored or Drifting: What Recursive Self-Generation Reveals About Training Data EgoSafetyBench: A Diagnostic Egocentric Video Benchmark for Evaluating Embodied VLMs as Runtime Safety Guards Meta-Transfer Learning for mmWave Beam Alignment From Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form Narratives Office Comprehension Benchmark AnyGroundBench: A Multi-Domain Adaptation Benchmark for Video Grounding in VLMs Safe Inference-Time Alignment via Lagrangian Reward Augmentation Mask2Real-WM: Controllable Dexterous World Models via Segmentation Masks as a Sim-to-Real Bridge UI2App: Benchmarking Visual Interaction Inference in Executable Web Application Generation Co-LMLM: Continuous-Query Limited Memory Language Models Authority-Bound Governance of Heterogeneous AI Security Decisions in Telecom and IoT Networks Exact and Certified Data Shapley for Weighted Nearest Neighbor Regression PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-Tuning Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents CAS I: A Geometric Coding Theorem SLPO: Scaling Latent Reasoning via a Surrogate Policy Medical foundation models converge less under label supervision Looping Is Not Reliability: State-Bound Evidence and Typed Revision Contracts for Agentic Code Repair When Synthetic Users Fail: A Cross-Domain Benchmark of LLM-Simulated Human Survey Responses The Implementation Lottery: Auditing Idea Reliability in Automated Research Arm2Air: Cross-Embodiment Skeleton Transfer for 3D Relay Formation Cost-Effective Automated Judging of Natural-Language Mathematical Proofs GraRe: Grasp Candidate Re-Ranking for Frozen 6-DoF Grasp Detectors Training nGPT MemArena: An Ego-Centric Benchmark for On-Device Agentic Personal Memory Assistants at Scale CLEARMIND: Closed-Form Laplacian Embeddings of Arakelov-Green Resistance for Morphological Intrinsic Neuronal Distances Site Is Decodable Before Pretraining: Negative Controls for Probing Frozen Brain-MRI Foundation Models The AI Accountability Ecosystem in the Era of Language Models Learn What's Left, Not What's Mastered: Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization The Acknowledgment Point Is the System: Durable Policy-Decision Receipts for AI Audit Evidence Science Done on a Machine by a Machine: AI Agents in Computational Chemistry TRACE: Training-time Report-guided and Clinically Ordered Concept Editing Does Fine-Tuning Undo Activation Steering? Behavioural Recovery Without Weight-Edit Reversal Pointing the Way, Hiding the Destination: Practical Private Dense Retrieval at Scale Difference-in-Differences on a Censored Rating Scale Can Manufacture an Effect: Evidence from a Pre-Registered LLM-Judge Audit The Hallucination Signal Is a Mean Shift: Why Simple Probes Suffice CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation SIR: Self-improving Red-teaming for Compute Use Agents Capability-Gated Language Models: Security Composes, Utility Does Not From Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function Calls A Measured Communication-Quality Frontier for Federated LoRA Fine-Tuning with Adaptive Phase-Switching Data-Free On-Policy Distillation: How Far Can We Go Without External Data? TriCalRAG: A Three-Strategy, Retrieval-Augmented Benchmark for On-Premise LLM-Based Root Cause Analysis in AIOps CSWAM: Better Causal Semantic Representations for Out-of-Distribution Generalization in World Action Models Beyond Outcomes: Dual-View Relational Learning for Efficient Agent Benchmarking Semantic Action Graph: A Shared Representation for Agent Grounding and Human Interpretation of Sports Highlights VidOmni-Bench: A Benchmark for Fine-Grained Video Understanding via Spatio-Temporal Event Verification across Complexity and Duration The Law of Stop: Interruptibility, Injunctions, and the Governance of Agentic AI RRSI: Regularized Recursive Self-Improvement of Agent Harnesses TraceVIC: Causal Reasoning over Code Evolution for Identifying Vulnerability-Inducing Commits Technical Manual for Toolkit for Confidence-Corpus Consistency, Corpus Absorption and Rule Learning via Fine-Tuning on a Fabricated Corpus Rolling-WAM: World Action Models with Rolling Imagination A Unified Account of Concepts and Chunks FLIP: Final Layer Inference-Time Probing for Vision-Language Models The Linear Representation Hypothesis for Vision-Language-Action Models Activation Flow: Manufacturing Activations for Steering Timestep Weighting: A Hidden Key to Effective ELBO-Based Flow-Matching RL ASCEND: Personal AI Agents for Autonomous Scientific Computing Across HPC Clusters and GPU Workstations Evaluating System One Models for Agent Security Decisions: Reliability, Calibration, and Selective Automation Collaborative Synthetic Data for Privacy-Preserving Financial Fraud Detection Across Organizational Silos Counterfactual Rollout Replay: Forkable Environments as Free Process Rewards for Software Engineering Agents Finite Probes Suffice: Identifiability and Universality for Weight-Space Learning LLMs are not stochastic parrots: Evidence for meaning-mediated abstraction from conlang-like tasks Calibrated to Whom? Persona and Language Effects on Cultural Values in JEV Distilling Diffusion Score Discrepancy for Efficient Training Data Attribution False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents UniAE-MoE: A Unified Audio Encoder via Mixture of Experts Wavelet Flow Matching for Time Series Free Everywhere, Exact on Trees: PPO's Dropped Correction Buys Sample Efficiency Under Aggressive Reuse CAS II: Orbits as Models: Kolmogorov's Structure Function under Symmetry Nous: Learning and Certifying Memory Decisions Before Source Calibration Four Ways to Grow a Classifier and Why One of Them Cannot Learn The Life Cycle of a Massive Activation: Stochastic Birth, Weight-Decay-Driven Growth, and Competitive Consolidation Memetic Trojans: Social Contagions as Carriers of Adversarial Payloads in Agent Networks PACT: End-to-End Learning of Human Pose, Contacts, and Forces from Video SHARPO: Segment-Level Credit Assignment for Agentic Reinforcement Learning RelationVGGT: Visual Geometry Transformers for 3D Spatial Relation Segmentation CineMR: Tool-Integrated Vision-Language Reasoning for Quantitative Cardiac MRI Assessment Removing spurious minima for planar features by skip connections Generalization Bounds for Flow-matching Generative Models for Intrinsically Low-dimensional DataGithub Trending (Python)
earthtojake/text-to-cad Panniantong/Agent-Reach calesthio/OpenMontage dortania/OpenCore-Legacy-Patcher achillean/shodan-python p-e-w/heretic VictorTaelin/OptMem meituan-longcat/LongCat-Video jamwithai/production-agentic-rag-course Alishahryar1/free-claude-code 666ghj/MiroFish shiyu-coder/Kronos gumyr/build123dGithub Trending (C)
antirez/ds4 Genymobile/scrcpy moonlight-stream/moonlight-android FWGS/xash3d-fwgs n64decomp/sm64 ValdikSS/GoodbyeDPI portapack-mayhem/mayhem-firmware meshcore-dev/MeshCore HarbourMasters/Shipwright lz4/lz4Nature
Author Correction: Anodic Pd membrane H2 extraction enhances thermochemical dehydrogenation Maintaining global science collaboration during conflict requires fairer rules The Solar System could die one billion times earlier than thought The Great Barrier Reef requires special attention in the developing super El Niño Scientists take a radiometer for a spin in a hot-air balloon Preprints must not leak sensitive research information Unprecedented hole opened up in Antarctic winter sea ice AI could undermine scientific independence in subtle ways Astronomy’s ‘adrenaline junkies’: Nobel prize captures the thrill of neutrino physics Rising numbers of Asian and African PhD students choose to study in China How digital breakdowns affect supply chains — and endanger the global economy Strong evidence that ‘baryon junctions’ give proton its identity Why smart glasses are about to create a major privacy crisis Cells, who needs them? Biochemists turn to proteins in a tube Circular DNA exposes a weakness in cancer cells Flu season could kick off ‘incredibly’ early — what scientists are watching Nobel physics prize awarded for detection of cosmic neutrinos Brain organoids grafted into cortex-free mice will advance human brain research How to mobilize the agile science needed in a crisis ‘What took them so long?’ This year’s medicine Nobel winner is overdue The top cancer success stories of the past 50 years, by the numbers Daily briefing: Medicine Nobel prize goes to optogenetics Medicine Nobel awarded for brain ‘switch’ that controls neurons with light How big tech is building a military–industrial complex in the age of AI AI biohazard hype must not divert attention from the real risks we face now Location, location, location: how to edit genes only in the cells you want ‘Learning about physics changed my life’: author Hernan Diaz on his new novel Ply How to respond to hate speech without fuelling it further Stunning fossil shows dinosaurs’ distinctive path to flight Nature has rights — it is time the world recognized them Daily briefing: Can you name every female Nobel laureate? Can you name the women who have won a science Nobel prize? Von Neumann’s party Prozac use for childhood depression skewed by single flawed medical trial Can we have class outside? Seven tips to breeze through outdoor lectures Retraction Note: Ribosomal frameshifting in the CCR5 mRNA is regulated by miRNAs and the NMD pathway A black hole’s jets have a halo effect Can pancreatic cancer be stopped in its tracks? Radical tactic raises hopes ‘Vibe coding’ makes the dictionary: AI terms recognized by Merriam-Webster The ‘missed disease’ that affects 190 million: endometriosis drug shows early promise Gaze into the cosmos and through the eyes of a bee — September’s best science images Daily briefing: The sky as you’ve never seen it — the month’s best science images Battle of the Anthropocene: allegations re-ignite row over proposed geological epoch These optical illusions are why butterflies are so hard to catch Who’s the loudest of them all? The bare-throated bellbird vies for the prize Is exposomics the key to making personalized medicine a reality? Daily briefing: How to save corals from the El Niño The super El Niño is cooking coral reefs — can lullabies and probiotics save them? This award-winning microscopy image used AI — igniting controversy in a prestigious competition 2D semiconductor aims to turbocharge development of high-performance electronics Elena, Aris, Marcus: AI-generated ‘ghosts’ are polluting the scientific literature Tuberculosis treatment has advanced — now we need to stop drug resistance dragging us backwards Sugar amplifies antibiotic disruption of gut microbes How did Earth get its water? Inside the extreme machine seeking answers Harmful tau spreads like self-propagating prion proteins Beware sham scientific societies: the research community must be more vigilant AI ‘speech clock’ assesses how fast you’re ageing from your voice The buck stops with me Secret watermark labels proteins as ‘made by AI’ Pipework problems when cancer spreads to an area bordering the brain How to spend $25 billion on science: OpenAI’s staggeringly rich research charity gets under way I turn up late to meetings to dodge small talk. Am I wrong? Restoring hearing in people with a rare form of deafness Sugar-rich foods exacerbate antibiotic-induced microbiome disruption Type 2 immune history trains lung macrophages for viral disease tolerance Global mangrove distribution on the open coast is controlled by waves X-ray liquidography decodes complex motions in azobenzene isomerization Histone readers MLLT1 and MLLT3 concentrate AID to confer locus specificity Carbene transfer from thianthrenium ylides for cyclopropanation An amygdala to anterior hypothalamic circuit gates stress sensitivity Dynamic protrusions mediate crawling motility in Asgard archaea Osteoclasts intercept meningeal lymphatic paths for dural metastasis Population-scale immune multiome atlas reveals regulatory disease mechanisms Human genetics implicates a BACH2–NRF2 axis in fetal haemoglobin activation Prion-like transmission of human tau strains in the mouse brainCNN
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
Actress Eva Marie Saint, who won an Oscar for 'On the Waterfront,' dies at 102 Cornell names former acting U.S. attorney general to review rape case France's police fire tear gas and water cannons as school protests sweep the country Here are the finalists for the 2026 National Book Awards What to know about nationwide protests in India over voter list changes Vietnamese police arrest 12 suspected of prowling city streets at night, snatching cats for meat Ex-spy chief is arrested in Germany on suspicion of trading state secrets and treason Dems have edge in midterms, poll shows. And, Paramount-Warner Bros. merger to close What voters in 6 key states could tell us about the 2026 midterms A history of presidents naming things after themselves (It's short. They rarely do)The Atlantic
A Trump Rally Stuck in Time Barack Obama Looks Left ‘LOCK THE CLOCK!’ Trump’s Unlikely Strategy to Control History: Footnotes What We Really Know About the Russian ‘Plague’ Case Homme Fatale Churches Are Finally Making the Moral Case Against Sports Betting A Striking Decline in Openness to IVF Russia Needs to Tell the Truth About a Plague Death The 2026 Midterms Must-Watch List The Battle for Hormuz Is Not the War Zombie Originalism The Curse of the Incumbent Hegseth’s One Percent Photos: Human-Tower Season The Atlantic Announces Mike Isaac as Staff Writer The Upgrade Holdouts Using the Power of the Government to Win Elections Movies Are Undeniably Back She Wanted to Have Three Kids. Then Life Happened. When Anesthesia Goes Wrong Waiting on Marco What Is Zionism? An SNL Sketch That Understands How the Internet Shapes Our Reality PuffinsVox
Will Trump’s diesel order do anything? Democrats are poised to take the House. Then what? Movies may soon get more boring America’s tallest, most spectacular trees are getting…heat stroke? Trump’s plan to buy votes, briefly explained What you should know about the Russian “plague lab” The Supreme Court is looking for a way to kill climate lawsuits What color is a tennis ball? The Senate’s new permitting plan could change how America gets energy for a generation When does trying to have a healthier baby become eugenics-y?Al Jazeera
Tree nearly as old as US torn down to expand Mexico border wall What Israeli schools teach US stock market hits all-time high as investors continue to bet on AI Oman evacuates injured crew from attacked tanker in Strait of Hormuz Lionel Messi plays final Argentina game to roaring Buenos Aires farewell Explosion shutters Venezuela’s second-largest oil refinery Why do airport and flight rules exist? Australia top court rules against coal mine expansion, citing climate harm Two Houthi missiles target Yemen’s Aden International Airport Syrian embassy returns seized passport after 43 years Politicians slam Trump’s suggestion that Iran ‘take’ San Diego, Los Angeles What’s behind Israel’s growing shift to the right? Yemeni forces launch offensive to retake Houthi-held al-Waziiya in Taiz Sudan’s al-Burhan rejects talks, vows to retake all territory from RSF South Sudan’s aid crisis deepens as food stocks run low French mayor tear-gassed after shielding protesters from police Iran war live: Houthi missiles hit Aden airport, another downed over Riyadh Electric car bursts into flames at charging station in Turkiye ‘We are desperate’: Venezuela’s power cuts fuel growing public anger Christa Pike lawyers say she is speaking one week after failed execution Fans flood Buenos Aires ahead of Messi’s final international match Houthis, Saudi-led forces claim victories as Yemen fighting rages on Harry Kane equals England record, scores twice in 3-0 win over Czechia CNN, CBS News now under one roof as Paramount-Warner Bros merger closes US arrests suspect in connection with Tumbler Ridge school shootingArs Technica
Drones sink ships near NATO countries in “unacceptable” attacks, EU says OpenAI will watermark ChatGPT outputs by default—but only in the EU HBO Max, Paramount+, and Discovery+ "will unify into a single service” It looks like the Atlantic storm season may finally produce a hurricane Hackers obtain counterfeit TLS certificates for Google and other large services Paramount completes $111B Warner merger, creating “Skydance” behemoth Support Ars and get a better reading experience in return Amazon kills Alexa’s ability to control Echo speakers' AUX input Neutrino physicist wins 2026 Nobel Physics Prize Googlebook "Better Together" phone features don't work with Samsung at launch Why is NASA bringing 7,500 contractors back to work as civil servants? All-electric camping gets a solar upgrade: The 2027 Pebble Flow Big Oil asks Supreme Court to kill climate lawsuits before trial OpenAI agents tried to hack Wikipedia tools and flooded it with traffic Licensing costs driving 90 percent of VMware users to explore options: Survey MCP for agent-to-agent comms may be the riskiest protocol you've never heard of Cable lobby to sue Trump FCC over repeal of national TV ownership cap Texas city demands $2M for public records on Flock usage Command-line tool quickly removes Apple Intelligence from macOS 27 Controlling the brain with light earns a physiology NobelSlashdot
South Korea Says AI Agents May Have Been Used to Hack the Country's Banks Canadian Analysis: Permanent Daylight Saving Harms Sleep and Mental Health HubSpot Cuts 660 Jobs In AI Restructuring Alexa Can't Control the AUX Input On Amazon Echo Speakers Anymore Asos Confirms Hackers Sent 'Unauthorized' Notification to App Users IBM and Red Hat Find More Than 400 New Vulnerabilities In Popular Java Code Licensing Costs Driving 90% of VMware Users To Explore Options, Survey Finds Mistral Unveils New 'Le Chonk' AI Model It Says Rivals Best Open Systems From China Researchers Are Tracking a Chinese AI 'Agent Fleet' Cable Lobby To Sue Trump FCC Over Repeal of National TV Ownership Cap OpenAI Is Adding Text Watermarking In ChatGPT and Codex Old Hearts Become Biologically Younger When Transplanted Into Younger People Texas City Demands $2 Million For Public Records On Flock Usage Rural Data Centers Are in for a Big Federal Tax Break Hackers Steal 8 Million Citizens' Records From Danish Government DatabaseSmithsonian Magazine
What Are Medieval English Coins Doing in Rome? They Could Be Rare Evidence of a 'Little England' Enclave That Received Special Papal Privileges Physicist Wins Nobel Prize for Developing a Massive, Ice-Embedded Observatory That Detects Ghostly Cosmic Particles This Lollipop Could Help Blind Women Independently Detect Pregnancy This Brain Implant Allows People With Paralysis to Speak and Gesture at the Same Time Via a Mind-Controlled Virtual Avatar New Research Shows That These Ancient Egyptian Servants May Have Been Brutally Sacrificed and Buried Alongside Their Pharaohs A Diver Volunteered to Clean Up Trash From a Wisconsin Lake. He Discovered a 1,000-Year-Old Dugout Canoe at the Bottom Instead Could 2026 Be a Year With No Atlantic Hurricanes? We've Surprisingly Passed Their Peak Month Without Any, Thanks to the El Niño These Soldiers Were Buried in an Unmarked Grave During the Revolutionary War. Now, Historians Finally Know Their Names Trio of Scientists Wins Medicine Nobel for a Method to Turn Nerve Cells On and Off With Light, Helping to Unravel the Brain's Mysteries A New Exhibition Reveals How Hot Pink Togas and Floral Perfumes Conveyed Power in the Roman EmpireInfoQ
Spanner Omni Reaches GA, Replacing Google's Atomic Clocks and File System with Software OpenTelemetry Makes Kubernetes Attributes Processor Stable as Observability Schema Matures QCon London 2027 Announces 15 Tracks on Production AI, Architecture, and Engineering at Scale Presentation: Building Resilient Platforms: Insights from 20+ Years in Mission-Critical Infrastructure Flagged by the Machine: How Google Ads Suspended an Open-Source macOS Term as Malicious Cloudflare Introduces CLI for AI Agents, Sunsetting Wrangler Java News Roundup: JobRunr 9, OpenXava 8, Quarkus, LangChain4j, JNoSQL, Introducing Lathe Akka Tests Spec-Driven AI Delivery across 65 Open Source Projects Presentation: Building Reusable Evaluation Frameworks for Agentic AI Products Article: The Platform Engineering Playbook for Production LLMs Podcast: Future Cybersecurity: Hardware Memory Safety, Automated Governance and Post-Quantum Cryptography Aspire 13.6 Adds Persistent Dashboard Telemetry and First-Party Java and Rust Hosting Cloudflare Fixes Cross-Tenant Data Exposure in Containers Cloudflare Plans Public Certificate Authority to Issue Quantum-Safe TLS Certificates Google's Android Security State Libraries Enable Component-Level Security VerificationDynomight
Why is the human body so crap except for the liver? Thoughts I had while reading your comment Indirect lessons from human alignment So you want to use plants to reduce indoor CO₂ Does every question mark deserve a Betteridge? Does creatine make you smarter? Pseudpocalypse Life with hazard ratios Blink if you’re human The worthlessness of vitamin D is mildly exaggerated Is “colorectal cancer” rising in “young people”? What’s with all the slide decks? You’re probably taking the wrong painkiller I quit drinking for a year LLMs predict my coffee The modern formatting addiction in writing Maybe there’s a pattern here? Heritability of human life span is about 50% when heritability is redefined to be something different Why read novels? Good if make prior after data instead of before Why the chicken crossed the road, according to various entities Underrated reasons to be thankful V Make product worse, get money Dating: A mysterious constellation of facts Pointing machines, population pyramids, post office scandal, type species, and horse urine Will the explainer post go extinct? Y’all are over-complicating these AI-risk arguments Shoes, Algernon, Pangea, and Sea Peoples Dear PendingKetchup You can try to like stuffMarginal Revolution
Effective altruism is useful at the margin Brazil election notes (from my email) Tuesday assorted links Paul Graham Versus the Pope The Great Accretion and the Great Depression Rising concentration for economics awards Monday assorted links “Authenticity is exactly the same as phoniness.” The Greg Clark Symposium China fact of the day Crime in Covid Times Sunday assorted links My blurb for Ethan Mollick’s new book Does Costco Cause Cancer? Marital sorting by class and raceNot Boring
Weekly Dose of Optimism #213 Airbound: As We May Move Weekly Dose of Optimism #212 Would We Send Our Kids to HAA? Weekly Dose of Optimism #211 Weekly Dose of Optimism #210 An Ode to Counter-Positioning Everyone is Reading Lonesome Dove Weekly Dose of Optimism #209 Weekly Dose of Optimism #208 An American Engineer in China Weekly Dose of Optimism #207 Weekly Dose of Optimism #206 Base Power Company: Chapter 3 Weekly Dose of Optimism #205 Weekly Dose of Optimism #204 AI is Oil, Not God Weekly Dose of Optimism #203 Weekly Dose of Optimism #202 Senra Systems: Harnessing Human SkillCoding Horror
If we do not stop to help each other, what do we become? You Can't "Vibe Code" Love Every Choice Changes Everything: The Show Thank You For Being a Friend Launching The Rural Guaranteed Minimum Income Initiative The Road Not Taken is Guaranteed Minimum Income Let's Talk About The American Dream Stay Gold, America The Great Filter Comes For Us All I Fight For The Users The 2030 Self-Driving Car Bet Updating The Single Most Influential Book of the BASIC Era Building a PC, Part IX: Downsizing The Rise of the Electric Scooter Electric Geek Transportation SystemsNASA Breaking News
NASA to Cover Northrop Grumman CRS-24 Spacecraft Departure October 2026 Satellite Puzzler Lunar Grounding Challenge NASA Glenn Invites Phase 1 Proposals for Aerospace Power Systems Laboratory Astronomers Solve Cosmic Cold Case with NASA Hubble Data NASA’s Curiosity Rover Catches Stunning Martian Dawn NASA’s Webb Captures Commotion From Nebula’s Stellar Jets APOD: 2026 October 6 – A Complete Auroral Oval from SMILE The Beaver Brown Waters of Rupert Bay Curiosity Blog, Sols 5029-5035: Back in the LabQuanta Magazine
Is AI the End of Math As We Know It? Sea Monkeys Show Scientists How To Rewrite a Rule of Turbulence What Does the Fourth Dimension Actually Look Like? Surprisingly Complex Waves Reveal the Brain’s Inner Workings Mathematicians Harness Randomness To Crack a 55-Year-Old ConjectureScience Daily
Humans may not be as hardwired for violence as we thought Don't miss: Watch Saturn shine and Halley’s Comet debris streak across the sky Scientists reveal what seven days of fasting does to the human body A new way to fight gum disease without wiping out good bacteria Goodbye joint replacements? Stanford scientists found a way to regrow cartilage and stop arthritis Physicists just saw quarks make waves in the Big Bang’s primordial soup Scientists say this simple habit could strengthen your marriage Scientists finally see how nature moves energy so efficiently Archaeologists may have finally solved a 100-year-old Florida mystery Tropical trees built homes for ants. Wasps are taking them over Animals may have evolved 200 million years earlier than we thought What happens in the brain when cannabis makes you anxious? Colorectal cancer is rising in young people and often found too late One simple addition to postpartum care made a major difference This mysterious hole on the Moon may open into a giant cave MIT scientists find a hidden cancer risk of the keto diet Vagus Nerve Stimulation Could Help New Skills Stick A few drops of this Japanese tree oil may help you sleep more soundly Scientists find a surprising clue to why the universe’s expansion doesn’t add up The “glue” holding your cells together has a surprising second job This protective enzyme could help stop fatty liver disease from getting worse Diet drinks work as well as water for weight loss, major trial finds A new kind of magnetism could unlock faster, more efficient computers Scientists discover a human brain gene that can jump through DNA A meteor hit Oklahoma 100 million years later than scientists thought Scientists just found a way to fight lung cancer and muscle wasting at the same time Cancer-fighting t cells burn out. Scientists may have found a fix A forgotten 30-year forest experiment just delivered a huge surprise Easing constipation: A 20-minute walk can get your gut moving almost immediately Your gut bacteria may reveal how fast your brain is aging ESA’s Juice just used Earth as a slingshot to Jupiter NASA’s Roman telescope just opened its planet-hunting eye Scientists just found a new way to make hydrogen from water Chang’e-6 lunar soil contains a surprising magnetic time capsule Powerful simulations reveal how the first stars changed the universe Scientists find an “earthquake gate” as California fault stress hits a 1,000-year high This common vitamin could help fight one of the deadliest brain cancers Leucine does more than build muscle. It powers up your cells This diet may slow brain aging by 2.5 years Vitamin D drug may help crack pancreatic cancer’s protective shield Your gut may be making a molecule that raises Alzheimer’s risk Scientists just made a superconductor stronger using “empty space” Vitamin C linked to fewer deaths in blood disorder trial Scientists just pushed superconductors beyond their usual current limit Alzheimer’s risk gene APOE4 may have a reversible weakness Could quitting ultra-processed food boost your mental health? Nearly 6 in 10 people with high blood pressure don’t know they have it The early universe wasn’t nearly as pristine as scientists thought 97-million-year-old fossils reveal the earliest known animal “GPS” Weak sunlight can still damage your DNA, scientists warn Cancer stem cells have an “energy addiction” scientists may be able to exploit Even one strength training session a week could make a difference This giant stick insect fooled scientists for decades Watch Live: NASA’s Crew-13 could make the fastest U.S. trip to the ISS ever This new qubit could be 100 times less error-prone in superfluid quantum computer breakthrough New “plant armor” more than triples strawberry yields Cannabis users were twice as likely to commit violence, review finds A record-breaking X-ray flash may reveal the birth of a magnetar Quantum teleportation breakthrough: Scientists crack a 25-year entanglement challenge Electrons slow to a crawl in a strange new quantum stateSpaceflight Now
SpaceX scrubs launch attempt for 21 data transport satellites for the Space Development Agency Falcon Heavy flies its first mission for U.S. spy satellite agency Fresh crew takes off for six-month stay aboard space station Launch preview: More than 100 spacecraft hitch a ride to orbit on SpaceX’s Transporter-18 Launch preview: NASA, SpaceX launch next crewed mission to the International Space Station NASA plans unpiloted Starliner test flight at end of year Starship returns to Earth; rocket splashes down north of Hawaii after three-hour flight Launch preview: SpaceX to launch first Starlink V3 satellites to orbit on Starship Next crew bound for the space station arrive in Florida SpaceX Falcon 9 launches classified mission for U.S. Space Force from West CoastSpace Daily
A Dutch schoolteacher clicking through galaxy images on a volunteer website in 2007 flagged a green smudge she couldn’t identify and asked what it was. It turned out to be a cloud of gas lit by a quasar that had already switched off, and astronomers named the object after her. To reach Jupiter, Juice took a detour past Venus, then returned to Earth on 28 September for a successful gravity boost while using our Moon to rehearse the navigation it will need around Jupiter’s icy moons. In 2001, Taco Bell anchored a 40-foot floating target off Australia and promised every American a free taco if the falling Mir space station hit it — and the company took out an insurance policy against a direct strike before the 130-ton station came down German sailors threw thousands of bottles overboard between 1864 and 1933 to chart ocean currents, and in 2018 a woman walking an Australian beach picked one up, 132 years after a captain logged it going over the rail — and the note’s details matched the ship’s journal exactly Melbourne gave each of its 70,000 street trees an ID number and an email address in 2013 so residents could report dropped limbs, and instead the trees received thousands of love letters from around the world, which city staff sometimes answer in the voice of the tree In 1920, the New York Times ridiculed rocket pioneer Robert Goddard in an editorial claiming rockets could never work in the vacuum of space, and 49 years later — the day after Apollo 11 lifted off for the moon — the paper printed a three-paragraph correction Verkhoyansk recorded 38°C in June 2020, the highest temperature ever measured inside the Arctic Circle. The same town holds a record of minus 67.8°C, which gives it the largest temperature range of anywhere on Earth. NVS-03 navigation satellite awaits GSLV-Mk2 launch in mid-October 2026 as sources cite a 15-20 October window after NVS-02 orbit failure ESA and ISRO extend their Cooperative Agreement to 8 January 2032 via letters signed in Paris, adding space weather and exploration work Every time one of your cells divides, the protective caps on its chromosomes shorten a little, and once they get critically short the cell either falls asleep permanently or self-destructs — a built-in counter that also happens to be one of the body’s strongest defences against cancerSpace News
Deposition Sciences, Inc. Expands Sunshade® Tape Offering with New 12″ × 30″ Format Resource competition intensifies with surge in megaconstellations Agile Space Industries Strengthens Board and Corporate Development to Support Continued Growth World Space Week 2026 Celebrates the “Rocket Revolution” Rethinking risk with electronics for space LMT Group and Novaspace partner to develop strategy for 5G/6G satellite communications hub in Latvia China launches Guowang, Yaogan-40 satellites, sets up busy Q4 manifest Galileo Space Is Building Satellites That Turn Signals Into Answers in Orbit NaviGate successfully demonstrates onboard precise orbit determination aboard D-Orbit’s ION Satellite Carrier Quantum Space Executes Launch Processing Agreement with All Points Logistics for Prime Mission Commercial Defense Satcom Service Revenues to Surpass $22.6B by 2035 Terran Orbital Names Jamin Brown Chief Operating Officer If AI cannot be trusted in a classroom, why should it be trusted in orbit? Space is everyone’s business: Economist Enterprise’s 4th annual Space Economy Summit returns to Orlando Agile Space Industries Expands Leadership Structure to Support Next Phase of Growth True or false on space industry trends with Pacôme Révillon Moog Completes ISO Class 8 Clean Room at Niagara Falls Facility to Expand Thruster ProductionMartin Fowler
Fragments: October 4 Principles for effective slides Bliki: Sensible Default Fragments: September 29 Fragments: September 24 Healthy Feedback I don't like LLMs Fragments: September 16 Nail the Narrative Social Media Engagement: summer 2026 Fragments: September 8 Do you even need a presentation? Bliki: Paracelsus Maxim An Accidental Blackboard Maybe We Shouldn't Be Reviewing All This Code Fragments: September 1 Making Your Data Ready for Agentic AI Fragments: August 24 Citizens Build, Agents Execute, Experts Govern Practitioner Voice: The Writing Category Nobody has Named Yet Fragments: August 18 TDD inside the agent loop - theater or actual value? Fragments: August 4 The Conductor Developer The Economic Benefit of Refactoring The Orchestrator's Tax Why I’m Writing Rachel’s Ramblings Fragments: July 21 The Archaeologist’s Copilot DSLs Enable Reliable Use of LLMsEmbedded Artistry
Will Embedded Software Remain an Afterthought? Adding a Makefile help Target On AI Writing Jevons Paradox Shouldn’t Comfort You Practicalities of Co-locating Tests with Source Code A Practice: Satisfied on Purpose Embedded Artistry’s Essential Engineering Library Flashing Yocto Images from MacOS Convenience Gone Wrong: A C++ auto Story Battling Perfectionism in Creation Pushing Git Submodule Commits Automatically Monorepo Tooling Update: Signed Commit Support in Git 2.52 The After-Hours Consulting Trap Configuring Git Remotes: Fetch Only One Branch and No Tags What I’ve Been Up To (20251205) Life After Burnout Automating Away the Fun Parts Creating Deterministic Zip Files with Git Commit Timestamps Papers in Systems: Schön on Dynamic Conservatism Reclaim Your Data: Freeing a Wi-Fi Sensor from the Cloud 2022-2023 Quarterly Discussion Panel Archives Exploring Serverless CI/CD for Embedded Devices How to cherry-pick Specific Files from a Commit 2023 in Review Managing Issues and Improving Products After Launch Resolving Git Commit History Divergence Due to Case-Sensitive Rename Operations Responses to the Commentariat on the -Werror Article Leveraging Your Toolchain to Improve Security Best Practices for Safeguarding Your Connected Devices Q&A: How Do You Stay on the Path and Make it to “Done”?Attack Magazine
Beatport Launches Indie Tech Genre Category Synchro Arts VocAlign 7 Pro Review: Come Together Keleigh Batchelor: “Good Music Thrives On Diverse Influences” Antares Launches AutoTune Advanced Steven Braines: “Diversity Isn’t A Problem; It Can Be Powerful If You Embrace It” Mike Taylor: “Too much Analysis Causes Paralysis” Making LCD Soundsystem-Style Drones Martha Bolton: “Real Change Happens When Everyone Moves In The Same Direction” CRSSD After Dark Returns To San Diego Next Weekend Erica Synths Bullfrog Drums: More Than a Drum MachineDJ 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?