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Iran War Live News Updates: Trump Arrives in China Against Background of Unresolved Iran War - WSJ 'Too dangerous to ever be free' - Utah mum who poisoned husband sentenced to life - BBC Court overturns Alex Murdaugh’s murder convictions in deaths of wife, son - The Washington Post Trump Administration Will Withhold $1.3 Billion in Medicaid Payments to California - The New York Times Republican resistance to Iran war grows in the Senate as Murkowski flips - AP News An intimate look at one military family's life on pause as the Iran war continues - NPR Rep. Mike Lawler ‘accosted’ by Sen. Rand Paul’s son - Politico Nebraska legislative race voters narrow candidates in 11 crowded primaries - Nebraska Examiner A Billionaire’s Ad Barrage Has Upended the Georgia Governor’s Race - The New York Times Trump’s plan to use his library as a hotel sparks lawsuit - The Washington Post Starmer Rival Streeting Prepares to Resign and Challenge Prime Minister - Bloomberg.com Gunfire heard at Philippine Senate amid standoff with lawmaker facing arrest - The Washington Post Benjamin Netanyahu says he made secret trip to UAE at height of Iran war - The Guardian "Monster wolf" robots in high demand to scare off bears in Japan after record number of attacks - CBS News Top Democrat calls newly confirmed Fed chair Kevin Warsh a ‘sock puppet’ for Trump – as it happened - The Guardian Altman forced to confront claims at OpenAI trial that he’s a prolific liar - Ars Technica Allegiant CEO makes case for low-cost airline model as Sun Country acquisition closes - CNBC Huang, Musk, Cook Among Billionaire Delegation At Trump’s Xi Meeting - Forbes Instagram hits the copy button again with new disappearing Instants photos - The Verge Apple Releases iOS 26.5: New Update Adds Long-Awaited Feature For iPhone - Forbes Apple is dominating US phone sales, but it sounds like Google Pixel is holding on - 9to5Google Sony's Xperia 1 VIII Has Bigger Camera Sensors And A New Look - Engadget Drug counselor who distributed ketamine that killed Matthew Perry sentenced to 2 years - NBC News ‘KPop Demon Hunters’ Is Officially Hitting the Road With Global Concert Tour - The Hollywood Reporter Orgasms, Outrageous Murders and Blood-Soaked Gillian Anderson and Hannah Einbinder: ‘Camp Miasma’ Confounds Cannes and Earns 6-Minute Ovation - Variety Spencer Pratt Staying at Bel Air Hotel, Not Airstream Trailer - TMZ Cavaliers vs Pistons Prediction, Odds, Picks for NBA Playoffs Game 5 - Action Network LeBron James Free Agency Landing Spots: Ranking the Four Most Likely Suitors for Superstar’s Talents - Sports Illustrated 2026 schedule update: Packers at Rams slated for night before Thanksgiving - Green Bay Packers – packers.com Jason Collins Got To Tell His Own Story - Defector SpaceX unveils sweeping Starship V3 upgrades ahead of May 19 launch - Teslarati Watch SpaceX launch 6,500 pounds of cargo to the International Space Station on May 13 - Space Ancient teeth hint at canoodling between early human relatives - abcnews.com Scientists say a new continental rift is forming in Zambia - CNN PNW doctor from hantavirus ship taken to special isolation unit - The Seattle Times Three people exposed to hantavirus taken to KU Hospital for observation - FOX4KC.com We’re asking the wrong question about the hantavirus outbreak - vox.com PCOS Is Officially Renamed, After Decades of Misinformation - ScienceAlertBBC News
Starmer warns leadership contest would 'plunge us into chaos' in pleas to ministers and MPs Chris Mason: Big moment ahead for Streeting to decide whether to go for it Hezbollah support endures in south Lebanon as ceasefire fails to stop war with Israel Why is Donald Trump in China? BBC explains Higher Europe air fares 'inevitable', says industry head Met Police prepares armoured vehicles and 4,000 officers for dual London protests Bodies of three young women pulled from sea off Brighton Farage faces standards probe into £5m gift from crypto billionaire Israel's Eurovision contestant 'shocked' by protests during semi-final show Netanyahu says he 'secretly visited' UAE during war with Iran Contact with British couple held in Iran cut off, family says Behind the scenes on Rivals season two: 'It's bigger, bolder, bonkier!' The Papers: 'Wes, prime minister?' and 'My flare lady' Margot Robbie backs Tudor play 1536: 'Women are still having the same conversations' From tourist tax to digital ID: BBC correspondents on the key bills in the King's Speech Egg sandwiches and colouring book: Life in US quarantine after cruise Drug addiction counsellor sentenced in Matthew Perry's overdose death Mass sex abuse allegations force closure of boarding school in Indonesia Hearts' McInnes rages at 'disgusting' Celtic penalty Court overturns Alex Murdaugh's murder convictions and orders new trial Epstein abused me while under house arrest, survivor tells US lawmakers Brother feared Notthingham triple killer would take his own life Passengers allowed to leave norovirus-hit cruise ship BBC News app Starmer Says He’s Staying Trump takes his revenge on disloyal Republicans A moving portrait of wartime Britain through children’s eyes Hearts' McInnes rages at 'disgusting' Celtic penalty as title race goes to final day Assist of the season? Mesmerising Foden keeps title hopes alive Durham to Bedford - Gay's 200-mile drive to tell parents of England call-up An iron fist joining a broken team: Inside Mourinho's Real return McIlroy 'totally fine' for US PGA after toe issueFinancial Times (World)
Private equity cools on India amid lofty prices and economic jitters GameStop’s Cohen threatens to take $56bn eBay offer to shareholders Cerebras boosts IPO price to raise $5.5bn Citadel tells key researchers to relocate from Hong Kong or quit UK estate agents at gloomiest in more than two years due to higher mortgage rates UAE denies Netanyahu made secret visit during Iran war Starmer prepares to fight leadership bid by Streeting Weaker UK cities at risk from higher minimum wage, think-tank warns Senate confirms Warsh to succeed Powell as Fed chair Shares surge in debut of power producer favoured by Trump energy agenda Elon Musk’s settlement with SEC raises ‘red flags’, judge says Starmer crisis as it happened: Manchester MPs refuse to stand aside for Burnham UK regulator pushes private credit groups to share more data US sells 30-year bonds at 5% yield for first time since 2007 New York cuts transport prices to World Cup matches it is hosting Private credit is not ‘a cancer’, says Wall Street’s top prosecutor How could a challenge to Starmer’s premiership play out? What can we expect from the Fed under Kevin Warsh? Saudi Arabia launched strikes against Iran Neanderthal dentist drilled into decayed tooth almost 60,000 years ago The battle for the soul of Labour Eric Trump joins Beijing trip as family-linked group chases China deal Who do gilt investors want to lead Britain? Putin and Zelenskyy cool on US-led peace talks India more than doubles tariffs on gold importsFinancial Times (UK)
UK estate agents at gloomiest in more than two years due to higher mortgage rates Starmer prepares to fight leadership bid by Streeting Weaker UK cities at risk from higher minimum wage, think-tank warns Starmer crisis as it happened: Manchester MPs refuse to stand aside for Burnham UK regulator pushes private credit groups to share more data How could a challenge to Starmer’s premiership play out? The battle for the soul of Labour Who do gilt investors want to lead Britain? Why UK assets are attractive despite the storm What was in the King’s Speech? The indelible appeal of tattoos Badenoch is underpriced to become prime minister Nigel Farage faces investigation over £5mn gift from crypto billionaire What is the future of UK politics? Submit your questions Starmer’s failure to lead makes his downfall inevitable BoE chief economist becomes an outlier on the Monetary Policy Committee What could government policy look like after Starmer? Don’t let bad thinking scupper your house sale UK inheritance tax plans for pensions could cause family disputes, experts say Call for entries: UK’s Fastest-Growing Companies 2027 Starmer clings to power after four ministers resign Starmer survives perilous day in Number 10 as rivals hold back for now Reeves and Miliband among contenders for chancellor if Starmer ousted Swinney meets Scottish Greens in push to secure SNP agenda A short history of Labour Party coupsThe New York Times
Dozens of Polymarket Bets Show Signs of Insider Trading, The Times Finds Andreessen Horowitz Is Playing Politics Like No Other Silicon Valley’s A.I. Lobbying Blitz Reaches a Fever Pitch Anduril Raises $5 Billion in Funding and Is Valued at $61 Billion A Start-Up Aiming to Make Geothermal Energy Mainstream Goes Public Fuel Prices Drive Sales of E.V.s, Just Not in the U.S. Notable Researchers Join $4 Billion Effort to Build Self-Improving A.I. Tired of Hacked Passwords? Help Is on the Way. Nvidia C.E.O. Jensen Huang Hitches Ride With Trump to China After Last-Minute Invite Anthropic in Talks to Raise Funding at a $950 Billion Valuation Musk Lawyer’s Question for Sam Altman on the Stand: Are You Trustworthy? Sam Altman has been targeted in a backlash against A.I. This is Sam Altman’s first time testifying in court. Is Anthropic’s Claude Mythos Really a Cybersecurity Risk? A.I. and Humans Battle It Out in a Cybersecurity Showdown Here’s the latest. EBay Rejects GameStop’s $55 Billion Takeover Bid China Sought Access to Anthropic’s Newest A.I. The Answer Was No. Start-Up Raises $1.3 Billion for an A.I. ‘Grid’ Wrongful Death Lawsuits Against OpenAI Test a New Strategy Instructure Strikes Deal for Hackers for Return of Canvas Data Microsoft’s C.E.O. Intervened When OpenAI Fired Sam Altman, Musk’s Lawyer Claims Inside the Elon Musk-OpenAI Trial Courtroom Google Says Criminal Hackers Used A.I. to Find a Major Software Flaw Meta’s Embrace of A.I. Is Making Its Employees Miserable Can the U.S. Rein in Prediction Markets? + Joanna Stern on Her Year of A.I. Experiments + Our Producer Goes to Attention School The Hopelessness of ‘The Audacity’ Five Ways A.I. Search Beats an Old-School Google SearchThe Guardian
Remains of second US soldier who went missing during military exercises in Morocco have been recovered ‘Blatant disregard for rights’: concern grows over Gabon’s social media clampdown Internal displacements caused by violence or conflict at record high in 2025 Gaborone gold rush: how Botswana rose to the top of men’s sprinting Weather tracker: US and Mexico brace for heatwave as deadly floods hit South Africa Cartel corruption claims push US-Mexico relations to breaking point Les Simpson: return of Québécois show spares viewers from ‘European French’ US man accused of killing rock singer in 1993 arrested after decades on the run Trump urged to rule out ‘unlawful’ Cuba takeover and stop using Guantánamo Bay for migrant detention Bahamas re-elects Progressive Liberal party’s Philip Davis as prime minister Trump-Xi summit live: US president preparing to meet China’s leader with trade, Taiwan and the Iran war set to dominate talks Chinese court awards compensation to sacked worker replaced by AI Gunshots fired in Philippines senate in standoff with senator wanted by ICC Scepticism and tight security as Beijing braces for Trump visit 1MDB financier Jho Low seeks pardon from Donald Trump Labor accused of ‘robbing Peter to pay Paul’ for axing $760m research program to fund other science measures Australia politics live: Hanson living ‘rent-free’ in Taylor’s head, Shoebridge says of Coalition plan to block non-citizens from benefit payments Court rules Coles misled shoppers with its ‘Down Down’ discount campaign Has Labor’s tax reform killed ‘rent-vesting’ for young Australians seeking a foothold in the housing market? Palestinian peak body refused leave to appear at royal commission on antisemitism and social cohesion Milka maker milked shoppers over size of chocolate bars, German court rules EU proposes end to ‘five tabs, three apps and a prayer’ for cross-border train bookings Slovakia closes border crossing with Ukraine amid warnings of further Russian strikes – as it happened Magnus the wandering walrus leaves Scotland for Norway Russia targets Ukraine with more than 800 drones in deadly daytime assault Israel’s ruling coalition proposes early elections amid ultra-Orthodox anger at Netanyahu Family of British couple jailed in Iran say they have lost contact Benjamin Netanyahu says he made secret trip to UAE at height of Iran war Cost of US war on Iran mounting – as it happened UAE’s secret attack on Iran risks drawing Gulf states into the war Trump ally Roger Stone condemned for providing lobbying services to Myanmar’s military junta Tensions high in West Bengal after BJP aide shot dead and hundreds arrested ‘Defeated by conspiracy’: West Bengal chief minister refuses to resign after election loss Narendra Modi’s BJP wins election in West Bengal for the first time Shock in India after man takes remains of his sister to bank to prove her death Typical English roast dinner potentially ‘drenched’ in 102 pesticides, says report Housing market in England and Wales weakening due to Iran war, say estate agents NHS drugs go-ahead offers lifeline to children with rare muscle-wasting disease Keir Starmer sets out changes to education, health and courts in king’s speech Valdo Calocane brother tells inquiry he felt powerless over killer’s mental ill health Nebraska Democratic Senate primary winner says she’ll drop out to support independent in general election New York man found guilty of acting as an unregistered agent of China Howard Lutnick said he had three ‘inconsequential’ meetings with Epstein Influencer detained in Tennessee over alleged confrontation involving gunfire JD Vance threatens health funding to states that don’t comply with White House anti-fraud effortHacker News
The Other Half of AI Safety Intercom changes name to Fin Tell HN: Dont use Claude Design, lost access to my projects after unsubscribing Medicare's new payment model is built for AI. Most of the tech world has no idea Meta won't let you block its AI account on Threads Princeton mandates proctoring for in-person exams, upending 133 year precedent Making the news available at no cost is a victory A sentimental tour of late 1990s and early 2000s hacking tools Launch HN: Ardent (YC P26) – Postgres sandboxes in seconds with zero migration S-100 Virtual Workbench Setting up a free *.city.state.us locality domain (2025) The US is winning the AI race where it matters most: commercialization Leaving GitHub for Forgejo Substrate (YC S24) Is Hiring a Technical Success Manager I moved my digital stack to Europe The Emacsification of Software Twin brothers wipe 96 government databases minutes after being fired Show HN: Needle: We Distilled Gemini Tool Calling into a 26M Model Text Blaze (YC W21) Is Hiring for a No-AI Summer Internship Bild AI (YC W25) Is Hiring Founding Product EngineersArxiv astro-ph.HE
A Cyclic Burst Rate Behavior of a Persistent X-ray Burster: Recent XMM-Newton and NuSTAR Observations of 4U 1323-62 Black Hole Binary Detection Landscape for the Laser Interferometer Lunar Antenna (LILA): Signal-to-Noise Calculations & Science Cases Transonic accretion and the analogue gravity in multi-component elliptical galaxies hosting pseudo-Schwarzschild black holes Evolution of Crab Pulsar: Magnetic Inclination Angle and Spin Revisiting GW170817 at milliarcsecond scale: high-precision constraints on jet geometry and $H_0$ A Nearly Constant Compton y-parameter for Mildly Relativistic Slab Coronae in AGN Black Hole Ringdown Seen in Photon Polarization Swings Are Single-Zone Emission models Sufficient to Explain GRB 220426A and GRB 230812B? Interacting Binary Stars as Progenitors for Interacting Supernovae Evidence for Multiple Orbiting Hotspots in the 340 GHz Variability of Sgr A* Synergy between the Cherenkov Telescope Array Observatory and the Vera C. Rubin Observatory A New Timing Signature of Black Hole Spin: Time-Delay Asymmetry in Kerr Accretion Flows High-energy Multi-messenger Emission from Galaxy Clusters in the Local Universe High-energy Neutrino and Gamma Ray Emission from Clusters-like Perseus Inferring host environment properties and gravitational-wave decay time from the eccentricity measurement of dynamically captured binaries Limit on high energy neutrino emission from Abell 119 using IceCube 10-year muon track data A phenomenological model of the magnetic field re-emergence in magnetars and discrepancy between the kinematic and characteristic ages Catching UHE Neutrinos with HERON Periodic Emission Frequency Modulation in a Hyperactive Fast Radio Burst Simulating the jittering-jets explosion mechanism: Supernova remnant G11.2-0.3 Precessing Black Hole Jets and Galactic Fossils Prospects for multi-messenger discovery of the gravitational-wave background anisotropies via cross-correlation with galaxies gwBenchmarks: Stress-Testing LLM Agents on High-Precision Gravitational Wave Astronomy Discovery of Interpretable Surrogates via Agentic AI: Application to Gravitational Waves Continuous mass ablation of planets engulfed in stellar envelopes Secondary-Mass Features improve Spectral-Siren $H_0$ Constraints GW240925 and GW250207: Astrophysical Calibration of Gravitational-wave Detectors A search for periodic AGN variability in $\textit{Gaia}$ Data Release 3 Optical Flares in the Luminous Fast Blue Optical Transient AT2022tsd ("Tasmanian Devil") Exploring Jet Structure and Dynamics in Short Gamma Ray Bursts: A Case Study on GRB 090510 Dark Matter and the Early Formation of Supermassive Black Holes Probing Evolution of Long Gamma-Ray Burst Properties through Their Cosmic Formation History Probing evolution of Long GRB properties through their cosmic formation history aided by Machine Learning predicted redshifts An Enhanced Formation Channel for Galactic Dual-Line Gravitational-Wave Sources: von Zeipel-Lidov-Kozai Effect in Triples Involving Sgr A* IXPE Polarizations of the Lighthouse Pulsar, Trail, and Filament A Unified Explanation of Gamma-Ray and Neutrino Spectra from Astrophysical Sources Based on the Gluon Condensation Model Moving-Mesh Simulations of Mini-Common Envelope Ejection in Classical Novae Tests of General Relativity with GW230529: a neutron star merging with a lower mass-gap compact object Biased parameter inference of eccentric, spin-precessing binary black holes The Impact of Supermassive Black Holes on Exoplanet Habitability. I. Spanning the Natural Mass Range Core-halo scaling relations in self-interacting scalar field dark matter Neutron star crust and outer core equation of state from chiral effective field theory with quantified uncertainties Search for Precessing Binary Black Holes in Advanced LIGO's Third Observing Run using Harmonic Decomposition Implications for Primordial Black Hole Dark Matter from a Single Subsolar Mass Gravitational-wave Detection in LVK O1--O4Arxiv cs.LG
Interpretable EEG Microstate Discovery via Variational Deep Embedding: A Systematic Architecture Search with Multi-Quadrant Evaluation QuIDE: Mastering the Quantized Intelligence Trade-off via Active Optimization Steering Without Breaking: Mechanistically Informed Interventions for Discrete Diffusion Language Models Rotation-Preserving Supervised Fine-Tuning Vertex-Softmax: Tight Transformer Verification via Exact Softmax Optimization Hierarchical Multi-Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation LEAP: Unlocking dLLM Parallelism via Lookahead Early-Convergence Token Detection $\xi$-DPO: Direct Preference Optimization via Ratio Reward Margin TMPO: Trajectory Matching Policy Optimization for Diverse and Efficient Diffusion Alignment Structural Interpretations of Protein Language Model Representations via Differentiable Graph Partitioning AESOP: Adversarial Execution-path Selection to Overload Deep Learning Pipelines Seeing the Needle in the Haystack: Towards Weakly-Supervised Log Instance Anomaly Localization via Counterfactual Perturbation SURGE: Surrogate Gradient Adaptation in Binary Neural Networks Test-Time Personalization: A Diagnostic Framework and Probabilistic Fix for Scaling Failures SkillGen: Verified Inference-Time Agent Skill Synthesis Finite Volume-Informed Neural Network Framework for 2D Shallow Water Equations: Rugged Loss Landscapes and the Importance of Data Guidance DisagMoE: Computation-Communication overlapped MoE Training via Disaggregated AF-Pipe Parallelism RT-Transformer: The Transformer Block as a Spherical State Estimator When and How to Canonize: A Generalization Perspective ACSAC: Adaptive Chunk Size Actor-Critic with Causal Transformer Q-Network A Comparative Study of Federated Learning Aggregation Strategies under Homogeneous and Heterogeneous Data Distributions LoopUS: Recasting Pretrained LLMs into Looped Latent Refinement Models Backbone-Equated Diffusion OOD via Sparse Internal Snapshots Simpson's Paradox in Behavioral Curves: How Aggregation Distorts Parametric Models of User Dynamics Efficient LLM Reasoning via Variational Posterior Guidance with Efficiency Awareness Trust Region Inverse Reinforcement Learning: Explicit Dual Ascent using Local Policy Updates A Switching System Theory of Q-Learning with Linear Function Approximation ASD-Bench: A Four-Axis Comprehensive Benchmark of AI Models for Autism Spectrum Disorder Enabling Performant and Flexible Model-Internal Observability for LLM Inference Newton's Lantern: A Reinforcement Learning Framework for Finetuning AC Power Flow Warm Start Models GRAFT-ATHENA: Self-Improving Agentic Teams for Autonomous Discovery and Evolutionary Numerical Algorithms Language Modeling with Hyperspherical Flows HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Steerable Neural ODEs on Homogeneous Spaces Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training Rank Is Not Capacity: Spectral Occupancy for Latent Graph Models CORE: Cyclic Orthotope Relation Embedding for Knowledge Graph Completion Interpretability Can Be Actionable COSMOS: Model-Agnostic Personalized Federated Learning with Clustered Server Models and Pseudo-Label-Only Communication Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data Optimistic Dual Averaging Unifies Modern Optimizers Oversmoothing as Representation Degeneracy in Neural Sheaf Diffusion Muon is Not That Special: Random or Inverted Spectra Work Just as Well CATS: Cascaded Adaptive Tree Speculation for Memory-Limited LLM Inference Acceleration Deep Learning for Protein Complex Prediction and Design Variational Linear Attention: Stable Associative Memory for Long-Context Transformers FeatMap: Understanding image manipulation in the feature space and its implications for feature space geometry The Scaling Law of Evaluation Failure: Why Simple Averaging Collapses Under Data Sparsity and Item Difficulty Gaps, and How Item Response Theory Recovers Ground Truth Across Domains Measuring Five-Nines Reliability: Sample-Efficient LLM Evaluation in Saturated Benchmarks Enforcing Constraints in Generative Sampling via Adaptive Correction Scheduling Leveraging RAG for Training-Free Alignment of LLMs ADMM-Q: An Improved Hessian-based Weight Quantizer for Post-Training Quantization of Large Language Models LiBaGS: Lightweight Boundary Gap Synthesis for Targeted Synthetic Data Selection A Comparative Study of Model Selection Criteria for Symbolic Regression Internalizing Curriculum Judgment for LLM Reinforcement Fine-Tuning DeconDTN-Toolkit: A Library for Evaluation and Enhancement of Robustness to Provenance Shift Extending Kernel Trick to Influence Functions Support-Proximity Augmented Diffusion Estimation for Offline Black-Box Optimization A Proof-of-Concept Simulation-Driven Digital Twin Framework for Decision-Aware Diabetes Modeling Curriculum Learning-Guided Progressive Distillation in Large Language Models Latent Chain-of-Thought Improves Structured-Data Transformers Localization Boosting for Growth Markets: Mitigating Cross-Locale Behavioral Bias in Learning-to-Rank Beyond Similarity: Temporal Operator Attention for Time Series Analysis Quotient-Categorical Representations for Bellman-Compatible Average-Reward Distributional Reinforcement Learning Optimal Representations for Generalized Contrastive Learning with Imbalanced Datasets Primal Generation, Dual Judgment: Self-Training from Test-Time Scaling A Theory of Time-Sensitive Language Generation: Sparse Hallucination Beats Mode Collapse Couple to Control: Joint Initial Noise Design in Diffusion Models Error whitening: Why Gauss-Newton outperforms Newton $\varepsilon$-Good Action Identification in Fixed-Budget Monte Carlo Tree Search Neural Statistical Functions Epistemic Uncertainty for Test-Time Discovery VERDI: Single-Call Confidence Estimation for Verification-Based LLM Judges via Decomposed Inference Physics-Informed Teacher-Student Ensemble Learning for Traffic State Estimation with a Varying Speed Limit Scenario Gradient-Free Noise Optimization for Reward Alignment in Generative Models gym-invmgmt: An Open Benchmarking Framework for Inventory Management Methods The tractability landscape of diffusion alignment: regularization, rewards, and computational primitives Causal Fairness for Survival Analysis LPDP: Inference-Time Reward Control for Variable-Length DNA Generation with Edit Flows Test-Time Compute for Dense Retrieval: Agentic Program Generation with Frozen Embedding Models TRACE: Temporal Routing with Autoregressive Cross-channel Experts for EEG Representation Learning Behavioral Mode Discovery for Fine-tuning Multimodal Generative Policies MuonQ: Enhancing Low-Bit Muon Quantization via Directional Fidelity Optimization More Than Meets the Eye: A Semantics-Aware Traffic Augmentation Framework for Generalizable Website Fingerprinting fg-expo: Frontier-guided exploration-prioritized policy optimization via adaptive kl and gaussian curriculum 20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone A Boundary-Aware Non-parametric Granular-Ball Classifier Based on Minimum Description Length MaskTab: Scalable Masked Tabular Pretraining with Scaling Laws and Distillation for Industrial Classification Generative Diffusion Prior Distillation for Long-Context Knowledge Transfer FastUMAP: Scalable Dimensionality Reduction via Bipartite Landmark Sampling Deep Minds and Shallow Probes Beyond Prediction: Interval Neural Networks for Uncertainty-Aware System Identification Drop the Act: Probe-Filtered RL for Faithful Chain-of-Thought Reasoning Robust Multi-Agent Path Finding under Observation Attacks: A Principled Adversarial-Plus-Smoothing Training Recipe On the Approximation Complexity of Matrix Product Operator Born Machines Efficient Adjoint Matching for Fine-tuning Diffusion Models Adaptive Calibration in Non-Stationary Environments Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow Optimization CTFusion: A CTF-based Benchmark for LLM Agent Evaluation EqOD: Symmetry-Informed Stability Selection for PDE Identification OverNaN: NaN-Aware Oversampling for Imbalanced Learning with Meaningful Missingness FERMI: Exploiting Relations for Membership Inference Against Tabular Diffusion Models Multi-Narrow Transformation as a Single-Model Ensemble: Boundary Conditions, Mechanisms, and Failure Modes Primal-Dual Policy Optimization for Linear CMDPs with Adversarial Losses Fast MoE Inference via Predictive Prefetching and Expert Replication Sharpen Your Flow: Sharpness-Aware Sampling for Flow Matching VNDUQE: Information-Theoretic Novelty Detection using Deep Variational Information Bottleneck A Controlled Counterexample to Strong Proxy-Based Explanations of OOD Performance: in a Fixed Pretraining-and-Probing Setup A Composite Activation Function for Learning Stable Binary Representations OUI as a Structural Observable: Towards an Activation-Centric View of Neural Network Training FedOUI: OUI-Guided Client Weighting for Federated Aggregation Learning Weakly Communicating Average-Reward CMDPs: Strong Duality and Improved Regret SoK: Unlearnability and Unlearning for Model Dememorization EpiCastBench: Datasets and Benchmarks for Multivariate Epidemic Forecasting Targeted Tests for LLM Reasoning: An Audit-Constrained Protocol Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Information From Generic Correlation to Input-Specific Credit in On-Policy Self Distillation MIST: Reliable Streaming Decision Trees for Online Class-Incremental Learning via McDiarmid Bound Evolutionary Task Discovery: Advancing Reasoning Frontiers via Skill Composition and Complexity Scaling Partial Model Sharing Improves Byzantine Resilience in Federated Conformal Prediction Shaping Zero-Shot Coordination via State Blocking Slicing and Dicing: Configuring Optimal Mixtures of Experts Compositional Neural Operators for Multi-Dimensional Fluid Dynamics Augmented Lagrangian Method for Last-Iterate Convergence for Constrained MDPs GRAFT: Graph-Tokenized LLMs for Tool Planning Unlocking Compositional Generalization in Continual Few-Shot Learning Debiased Model-based Representations for Sample-efficient Continuous Control Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models Persona-Conditioned Adversarial Prompting: Multi-Identity Red-Teaming for Adversarial Discovery and Mitigation U-STS-LLM A Unified Spatio-Temporal Steered Large Language Model for Traffic Prediction and Imputation Online Continual Learning with Dynamic Label Hierarchies Learning Feature Encoder with Synthetic Anomalies for Weakly Supervised Graph Anomaly Detection Federated Client Selection under Partial Visibility: A POMDP Approach with Spatio-Temporal Attention One-Step Generative Modeling via Wasserstein Gradient Flows Decomposing the Generalization Gap in PROTAC Activity Prediction: Variance Attribution and the Inter-Laboratory Ceiling Is Monotonic Sampling Necessary in Diffusion Models? Entropy Polarity in Reinforcement Fine-Tuning: Direction, Asymmetry, and Control ROMER: Expert Replacement and Router Calibration for Robust MoE LLMs on Analog Compute-in-Memory Systems Stop Marginalizing My Dreams: Model Inversion via Laplace Kernel for Continual Learning Fed-BAC: Federated Bandit-Guided Additive Clustering in Hierarchical Federated Learning More Edits, More Stable: Understanding the Lifelong Normalization in Sequential Model Editing Gradient Clipping Beyond Vector Norms: A Spectral Approach for Matrix-Valued Parameters Martingale-Consistent Self-Supervised Learning GEAR: Granularity-Adaptive Advantage Reweighting for LLM Agents via Self-Distillation Improving the Performance and Learning Stability of Parallelizable RNNs Designed for Ultra-Low Power Applications Beyond Parameter Aggregation: Semantic Consensus for Federated Fine-Tuning of LLMs Information theoretic underpinning of self-supervised learning by clustering LOFT: Low-Rank Orthogonal Fine-Tuning via Task-Aware Support Selection Adaptive TD-Lambda for Cooperative Multi-agent Reinforcement Learning Sobolev Regularized MMD Gradient Flow Incentivizing Truthfulness and Collaborative Fairness in Bayesian Learning Procedural-skill SFT across capacity tiers: A W-Shaped pre-SFT Trajectory and Regime-Asymmetric Mechanism on 0.8B-4B Qwen3.5 Models Delightful Gradients Accelerate Corner Escape Understanding Sample Efficiency in Predictive Coding STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning NOFE -- Neural Operator Function Embedding Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning QDSB: Quantized Diffusion Schr\"odinger Bridges Split the Differences, Pool the Rest: Provably Efficient Multi-Objective Imitation Estimating Subgraph Importance with Structural Prior Domain Knowledge Limits of Learning Linear Dynamics from Experiments Efficient and Adaptive Human Activity Recognition via LLM Backbones Approximation Theory of Laplacian-Based Neural Operators for Reaction-Diffusion System Resilient Vision-Tabular Multimodal Learning under Modality Missingness Scaling Laws and Tradeoffs in Recurrent Networks of Expressive Neurons Learning plug-in surrogate endpoints for randomized experiments H\"older Policy Optimisation Missing Old Logits in Asynchronous Agentic RL: Semantic Mismatch and Repair Methods for Off-Policy Correction Elicitation-Augmented Bayesian Optimization Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning Fused Gromov-Wasserstein Distance with Feature Selection On What We Can Learn from Low-Resolution Data Lower bounds for one-layer transformers that compute parity Expected Batch Optimal Transport Plans and Consequences for Flow Matching Multi-Task Representation Learning for Conservative Linear Bandits DriftXpress: Faster Drifting Models via Projected RKHS Fields Fair Conformal Classification via Learning Representation-Based Groups ECTO: Exogenous-Conditioned Temporal Operator for Ultra-Short-Term Wind Power Forecasting A Unified Graph Language Model for Multi-Domain Multi-Task Graph Alignment Instruction Tuning Overtrained, Not Misaligned Investigating simple target-covariate relationships for Chronos-2 and TabPFN-TS On the Importance of Multistability for Horizon Generalization in Reinforcement Learning Not How Many, But Which: Parameter Placement in Low-Rank Adaptation Intrinsic Vicarious Conditioning for Deep Reinforcement Learning No More, No Less: Task Alignment in Terminal Agents SOAR: Scale Optimization for Accurate Reconstruction in NVFP4 Quantization Instruction Lens Score: Your Instruction Contributes a Powerful Object Hallucination Detector for Multimodal Large Language Models Delay-Empowered Causal Hierarchical Reinforcement Learning Hypernetworks for Dynamic Feature Selection PriorZero: Bridging Language Priors and World Models for Decision Making Targeted Neuron Modulation via Contrastive Pair Search STRABLE: Benchmarking Tabular Machine Learning with Strings Approximation of Maximally Monotone Operators : A Graph Convergence Perspective KAN-CL: Per-Knot Importance Regularization for Continual Learning with Kolmogorov-Arnold Networks In-context learning to predict critical transitions in dynamical systems Transferable Delay-Aware Reinforcement Learning via Implicit Causal Graph Modeling Autoregressive Learning in Joint KL: Sharp Oracle Bounds and Lower Bounds Grid Games: The Power of Multiple Grids for Quantizing Large Language Models Manifold Sampling via Entropy Maximization BSO: Safety Alignment Is Density Ratio Matching Neural-Schwarz Tiling for Geometry-Universal PDE Solving at Scale A New Technique for AI Explainability using Feature Association Map From Message-Passing to Linearized Graph Sequence Models MetaColloc: Optimization-Free PDE Solving via Meta-Learned Basis Functions Agent-Based Post-Hoc Correction of Agricultural Yield Forecasts Discrete Flow Matching for Offline-to-Online Reinforcement Learning Trust the Batch, On- or Off-Policy: Adaptive Policy Optimization for RL Post-Training Detecting overfitting in Neural Networks during long-horizon grokking using Random Matrix Theory OGLS-SD: On-Policy Self-Distillation with Outcome-Guided Logit Steering for LLM Reasoning Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling Aligning Flow Map Policies with Optimal Q-Guidance Learning Minimally Rigid Graphs with High Realization Counts Environment-Adaptive Preference Optimization for Wildfire Prediction ORCE: Order-Aware Alignment of Verbalized Confidence in Large Language Models Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs Search Your Block Floating Point Scales! High-arity Sample Compression Solve the Loop: Attractor Models for Language and Reasoning KV-Fold: One-Step KV-Cache Recurrence for Long-Context Inference Routers Learn the Geometry of Their Experts: Geometric Coupling in Sparse Mixture-of-Experts MEME: Multi-entity & Evolving Memory Evaluation Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training Learning, Fast and Slow: Towards LLMs That Adapt Continually Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation Testing General Relativity Through Gravitational Wave Classification: A Convolutional Neural Network Framework Measuring Accuracy and Energy-to-Solution of Quantum Fine-Tuning of Foundational AI Models Adversarial Effects on Expressibility and Trainability in Distributed Variational Quantum Algorithms MultiSoc-4D: A Benchmark for Diagnosing Instruction-Induced Label Collapse in Closed-Set LLM Annotation of Bengali Social Media Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning FERA: Uncertainty-Aware Federated Reasoning for Large Language Models Interpretable rainfall modelling reveals rapid reorganisation of Amazonian rainfall under vegetation loss AlphaEarth Satellite Embeddings for Modelling Climate Sensitive Diseases Towards Global Health Resilience Parameter-Efficient Adaptation of Pre-Trained Vision Foundation Models for Active and Passive Seismic Data Denoising Acceleration of horizontal numerical advection for atmospheric modeling through surrogate modeling with temporal coarse-graining SCOPE: Siamese Contrastive Operon Pair Embeddings for Functional Sequence Representation and Classification MambaNetBurst: Direct Byte-level Network Traffic Classification without Tokenization or Pretraining Read, Extract, Classify: A Tool for Smarter Requirements Engineering On Problems of Implicit Context Compression for Software Engineering Agents MCPShield: Content-Aware Attack Detection for LLM Agent Tool-Call Traffic The first global agricultural field boundary map at 10m resolution Uniform Scaling Limits in AdamW-Trained Transformers ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks? Deploying Self-Supervised Learning for Real Seismic Data Denoising ShardTensor: Domain Parallelism for Scientific Machine Learning LatentHDR: Decoupling Exposure from Diffusion via Conditional Latent-to-Latent Mapping for Text/Image-to-Panoramic HDR FedSurrogate: Backdoor Defense in Federated Learning via Layer Criticality and Surrogate Replacement Control Charts for Multi-agent Systems Debiasing Message Passing to Mitigate Popularity Bias in GNN-based Collaborative Filtering Decomposing Evolutionary Mixture-of-LoRA Architectures: The Routing Lever, the Lifecycle Penalty, and a Substrate-Conditional Boundary Quantifying the Reconstructability of Astrophysical Methods with Large Language Models and Information Theory: A Case Study in Spectral Reconstruction The Price of Proportional Representation in Temporal Voting The Bicameral Model: Bidirectional Hidden-State Coupling Between Parallel Language Models From raw data to neutrino candidates: a neural-network pipeline for Baikal-GVD Interpretable Machine Learning for Spatial Science: A Lie-Algebraic Kernel for Rotationally Anisotropic Gaussian Processes Adaptive Policy Learning Under Unknown Network Interference Exploring Token-Space Manipulation in Latent Audio Tokenizers Operator Spectroscopy of Trained Lattice Samplers Continuous Discovery of Vulnerabilities in LLM Serving Systems with Fuzzing Multi-Agent System Identification with Nonlinear Sheaf Diffusion Beyond Manual Curation: Augmenting Targeted Protein Degradation Databases via Agentic Literature Extraction Workflows PIVOT: Bridging Planning and Execution in LLM Agents via Trajectory Refinement Rethinking LLMOps for Fraud and AML: Building a Compliance-Grade LLM Serving Stack When to Ask a Question: Understanding Communication Strategies in Generative AI Tools DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense Prediction PG-3DGS: Optimizing 3D Gaussian Splatting to Satisfy Physics Objectives Rethinking external validation for the target population: Capturing patient-level similarity with a generative model Vision2Code: A Multi-Domain Benchmark for Evaluating Image-to-Code Generation MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces ChunkFlow: Communication-Aware Chunked Prefetching for Layerwise Offloading in Distributed Diffusion Transformer Inference Causal Bias Detection in Generative Artifical Intelligence Causal Algorithmic Recourse: Foundations and Methods Spatial Adapter: Structured Spatial Decomposition and Closed-Form Covariance for Frozen Predictors Diabetic Retinopathy Classification using Downscaling Algorithms and Deep Learning Instruct-ICL: Instruction-Guided In-Context Learning for Post-Disaster Damage Assessment Predictive Maps of Multi-Agent Reasoning: A Successor-Representation Spectrum for LLM Communication Topologies Overcoming Dynamics-Blindness: Training-Free Pace-and-Path Correction for VLA Models Breaking $\textit{Winner-Takes-All}$: Cooperative Policy Optimization Improves Diverse LLM Reasoning TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing The Evaluation Differential: When Frontier AI Models Recognise They Are Being Tested Hierarchical LLM-Driven Control for HAPS-Assisted UAV Networks: Joint Optimization of Flight and Connectivity Post-ADC Inference: Valid Inference After Active Data Collection AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration -- Learning from Cheap, Optimizing Expensive Controllable User Simulation Efficient and provably convergent end-to-end training of deep neural networks with linear constraints Generative climate downscaling enables high-resolution compound risk assessment by preserving multivariate dependencies Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting Hindsight Hint Distillation: Scaffolded Reasoning for SWE Agents from CoT-free Answers Dual-Temporal LSTM with Hybrid Attention for Airline Passenger Load Factor Forecasting: Integrating Intra-Flight and Inter-Flight Booking Dynamics Three Regimes of Context-Parametric Conflict: A Predictive Framework and Empirical Validation NexOP: Joint Optimization of NEX-Aware k-space Sampling and Image Reconstruction for Low-Field MRI A Mixture Autoregressive Image Generative Model on Quadtree Regions for Gaussian Noise Removal via Variational Bayes and Gradient Methods Exact Stiefel Optimization for Probabilistic PLS: Closed-Form Updates, Error Bounds, and Calibrated Uncertainty PRISM: A Geometric Risk Bound that Decomposes Drift into Scale, Shape, and Head Learning U-Statistics with Active Inference Finite Sentence-Interface Control for Learning Bounded-Fan-Out Linear MCFGs under Fixed Monoid Typing GeomHerd: A Forward-looking Herding Quantification via Ricci Flow Geometry on Agent Interactive Simulations Posterior Contraction Rates for Sparse Kolmogorov-Arnold Networks in Anisotropic Besov Spaces EPIC: Efficient Predicate-Guided Inference-Time Control for Compositional Text-to-Image Generation WorldComp2D: Spatio-semantic Representations of Object Identity and Location from Local Views Training-Inference Consistent Segmented Execution for Long-Context LLMs A nonlinear extension of parametric model embedding for dimensionality reduction in parametric shape design From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction Crash Assessment via Mesh-Based Graph Neural Networks and Physics-Aware Attention Bin Latent Transformer (BiLT): A shift-invariant autoencoder for calibration-free spectral unmixing of turbid media Multi-Timescale Conductance Spiking Networks: A Sparse, Gradient-Trainable Framework with Rich Firing Dynamics for Enhanced Temporal Processing Minimax Rates and Spectral Distillation for Tree Ensembles A Fast and Energy-Efficient Latch-Based Memristive Analog Content-Addressable Memory Constrained Stochastic Spectral Preconditioning Converges for Nonconvex Objectives Variance-aware Reward Modeling with Anchor Guidance FIS-DiT: Breaking the Few-Step Video Inference Barrier via Training-Free Frame Interleaved Sparsity Qwen-Scope: Turning Sparse Features into Development Tools for Large Language Models Assessment of cloud and associated radiation fields from a GAN stochastic cloud subcolumn generator Random-Set Graph Neural Networks The Illusion of Power Capping in LLM Decode: A Phase-Aware Energy Characterisation Across Attention Architectures SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces Rethink the Role of Neural Decoders in Quantum Error Correction Anomaly-Aware Vision-Language Adapters for Zero-Shot Anomaly Detection Learning What Matters: Adaptive Information-Theoretic Objectives for Robot Exploration Keeping Score: Efficiency Improvements in Neural Likelihood Surrogate Training via Score-Augmented Loss Functions MULTI: Disentangling Camera Lens, Sensor, View, and Domain for Novel Image Generation STRUM: A Spectral Transcription and Rhythm Understanding Model for End-to-End Generation of Playable Rhythm-Game Charts PrivacySIM: Evaluating LLM Simulation of User Privacy Behavior Machine Learning for neutron source distributions Do Enterprise Systems Need Learned World Models? The Importance of Context to Infer Dynamics Information-Theoretic Generalization Bounds for Sequential Decision Making Probing Non-Equilibrium Grain Boundary Dynamics with XPCS and Domain-Adaptive Machine Learning Self-Supervised Laplace Approximation for Bayesian Uncertainty Quantification TriBand-BEV: Real-Time LiDAR-Only 3D Pedestrian Detection via Height-Aware BEV and High-Resolution Feature Fusion Optimal Policy Learning under Budget and Coverage Constraints TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning Pretraining Strategies and Scaling for ECG Foundation Models: A Systematic Study Why Conclusions Diverge from the Same Observations: Formalizing World-Model Non-Identifiability via an Inference Missingness-MDPs: Bridging the Theory of Missing Data and POMDPs Reconstruction of Personally Identifiable Information from Supervised Finetuned Models What makes a word hard to learn? Modeling L1 influence on English vocabulary difficulty From Model Uncertainty to Human Attention: Localization-Aware Visual Cues for Scalable Annotation Review EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records Online Learning-to-Defer with Varying Experts Multi-Variable Conformal Prediction: Optimizing Prediction Sets without Data Splitting Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries Fill the GAP: A Granular Alignment Paradigm for Visual Reasoning in Multimodal Large Language Models Scalable Token-Level Hallucination Detection in Large Language Models A Semi-Supervised Framework for Speech Confidence Detection using Whisper Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning SEMIR: Semantic Minor-Induced Representation Learning on Graphs for Visual Segmentation Trajectory-Agnostic Asteroid Detection in TESS with Deep Learning Model-based Bootstrap of Controlled Markov Chains Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space ORBIT: Preserving Foundational Language Capabilities in GenRetrieval via Origin-Regulated Merging Enabling AI-Native Mobility in 6G: A Real-World Dataset for Handover, Beam Management, and Timing Advance TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection A proximal gradient algorithm for composite log-concave sampling Towards Affordable Energy: A Gymnasium Environment for Electric Utility Demand-Response Programs Task-Adaptive Embedding Refinement via Test-time LLM Guidance Elastic Attention Cores for Scalable Vision Transformers AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward Transformer-Based Autonomous Driving Models and Deployment-Oriented Compression: A Survey Pruning Federated Models through Loss Landscape Analysis and Client Agreement Scoring Red-Teaming Text-to-Image Models via In-Context Experience Replay and Semantic-Preserving Prompt Rewriting Modality-Inconsistent Continual Learning of Multimodal Large Language Models Local and Mixing-Based Algorithms for Gaussian Graphical Model Selection from Glauber Dynamics Beyond Point Estimates: Distributional Uncertainty in Machine Learning Performance Evaluation Tackling Fake Forgetting through Uncertainty Quantification Pure Exploration Beyond Reward Feedback: The Role of Post-Action Context Welfare as a Guiding Principle for Machine Learning -- From Compass, to Lens, to Roadmap Model-Level GNN Explanations via Rule-to-Graph Readout for Logit Reconstruction Toxicity Detection Should Measure Contextual Harm, Not Text-Intrinsic Badness Fractal Graph Contrastive Learning Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO Rotary Masked Autoencoders are Versatile Learners Practical estimation of the optimal classification error with soft labels and calibration Trajectory First: A Curriculum for Discovering Diverse Policies Adversarial Causal Tuning for Realistic Time-series Generation Intention-Conditioned Flow Occupancy Models Strategically Deceptive Model Deployment in Performative Prediction Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit Feedback Focusing Influence Mechanism for Multi-Agent Reinforcement Learning Learning Adapter Rank via Symmetry Breaking Localising Dropout Variance in Twin Networks Detecting In-Person Conversations in Noisy Real-World Environments with Smartwatch Audio and Motion Sensing Regret minimization in Linear Bandits with offline data via extended D-optimal exploration Context Steering: A New Paradigm for Compression-based Embeddings by Synthesizing Relevant Information Features Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks Dissecting Discrete Soft Actor-Critic: Limitations and Principled Alternatives DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick PENEX: AdaBoost-Inspired Neural Network Regularization Efficient Bayesian Inference from Noisy Pairwise Comparisons Revisiting GAN with Bayes-Optimal Discrimination Make It Long, Keep It Fast: End-to-End 10k-Sequence Modeling at Billion Scale on Douyin Recommendation Taking the Road Less Scheduled with Adaptive Polyak Steps SurvBench: A Standardised Preprocessing Pipeline for Multi-Modal Electronic Health Record Survival Analysis FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning Saving Foundation Flow-Matching Priors for Inverse Problems Adversarial Flow Models FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers In-Context Multi-Objective Optimization BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models Robustness Certificates for Neural Networks against Adversarial Attacks AntiPaSTO: Self-Supervised Honesty Steering via Anti-Parallel Representations Principled Latent Diffusion for Graphs via Laplacian Autoencoders HE-SNR: Uncovering Latent Logic via Entropy for Guiding Mid-Training on SWE-bench Analytical Provisioning for Attention-FFN Disaggregated LLM Serving under Stochastic Workloads Clarity: The Flexibility-Interpretability Trade-Off in Sparsity-aware Concept Bottleneck Models DP-{\lambda}CGD: Efficient Noise Correlation for Differentially Private Model Training From Observations to States: Latent Time Series Forecasting BLOCK-EM: Preventing Emergent Misalignment via Latent Blocking Finite and Corruption-Robust Regret Bounds in Online Inverse Linear Optimization under M-Convex Action Sets MoLF: Mixture-of-Latent-Flow for Pan-Cancer Spatial Gene Expression Prediction from Histology Joint Learning of Hierarchical Neural Options and Abstract World Model Partition Tree: Conditional Density Estimation over General Outcome Spaces Smoothness Errors in Dynamics Models and How to Avoid Them Safety Alignment as Continual Learning: Mitigating the Alignment Tax via Orthogonal Gradient Projection Robust Policy Optimization to Prevent Catastrophic Forgetting The Offline-Frontier Shift: Diagnosing Distributional Limits in Generative Multi-Objective Optimization Oscillators Are All You Need: Irregular Time Series Modelling via Damped Harmonic Oscillators with Closed-Form Solutions Towards Uncertainty-Aware Federated Granger Causal Learning Physics Aware Neural Networks: Denoising for Magnetic Navigation POP: Prior-Fitted First-Order Optimization Policies The Confusion is Real: GRAPHIC -- A Network Science Approach to Confusion Matrices in Deep Learning Space Syntax-guided Post-training for Residential Floor Plan Generation TabDLM: Free-Form Tabular Data Generation via Joint Numerical-Language Diffusion FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA Task-Driven Subspace Decomposition for Knowledge Sharing and Isolation in LoRA-based Continual Learning An Empirical Analysis of Calibration and Selective Prediction in Multimodal Clinical Condition Classification Sparsity and Out-of-Distribution Generalization Taming Score-Based Denoisers in ADMM: A Convergent Plug-and-Play Framework GIST: Gauge-Invariant Spectral Transformers for Scalable Graph Neural Operators Off-Policy Learning with Limited Supply CRPS-Optimal Binning for Univariate Conformal Regression The Luna Bound Propagator for Formal Analysis of Neural Networks SRG: Score-based Relaxation-guided Generation for Mixed Integer Linear Programming A Survey of On-Policy Distillation for Large Language Models Inference-Time Code Selection via Symbolic Equivalence Partitioning KV Cache Offloading for Context-Intensive Tasks ANTIC: Adaptive Neural Temporal In-situ Compressor Spectral Entropy Collapse as a Phase Transition in Delayed Generalisation: An Interventional and Predictive Framework for Grokkin Dispatch-Aware Ragged Attention for Pruned Vision Transformers DARLING: Detection Augmented Reinforcement Learning with Non-Stationary Guarantees Assessing the impact of dimensionality reduction on clustering performance -- a systematic study A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws Architecture Determines Observability of Transformers From Flat Facts to Sharp Hallucinations: Detecting Stubborn Errors via Gradient Sensitivity PRIME: Protein Representation via Physics-Informed Multiscale Equivariant Hierarchies An End-to-End Framework for Building Large Language Models for Software Operations Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges From Data Lifting to Continuous Risk Estimation: A Process-Aware Pipeline for Predictive Monitoring of Clinical Pathways Geometry-Aware Neural Optimizer for Shape Optimization and Inversion Cross-Model Consistency of Feature Importance in Electrospinning: Separating Robust from Model-Dependent Features Training-Time Batch Normalization Reshapes Local Partition Geometry in Piecewise-Affine Networks Training Transformers for KV Cache Compressibility Grokking or Glitching? How Low-Precision Drives Slingshot Loss Spikes AffineLens: Capturing the Continuous Piecewise Affine Functions of Neural Networks When Does $\ell_2$-Boosting Overfit Benignly? High-Dimensional Risk Asymptotics and the $\ell_1$ Implicit Bias Hyperbolic Concept Bottleneck Models On Training in Imagination Distributional Process Reward Models: Calibrated Prediction of Future Rewards via Conditional Optimal Transport Continuous First, Discrete Later: VQ-VAEs Without Dimensional Collapse SDG-MoE: Signed Debate Graph Mixture-of-Experts P-Flow: Proxy-gradient Flows for Linear Inverse Problems Direct Bethe Free Energy Minimization for Bayesian Neural Network Worst-Case Regret Bounds for Combinatorial Thompson Sampling in Sleeping Semi-Bandits HS-FNO: History-Space Fourier Neural Operator for Non-Markovian Partial Differential Equations Refresh-Scaling the Memory of Balanced Adam When Does Non-Uniform Replay Matter in Reinforcement Learning? BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization Follow the Mean: Reference-Guided Flow Matching DeepL\'evy: Learning Heavy-Tailed Uncertainty in Highly Volatile Time Series Is Data Shapley Not Better than Random in Data Selection? Ask NASH On periodic distributed representations using Fourier embeddings Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices DiFaReli++: Diffusion Face Relighting with Consistent Cast Shadows Sparsity-Constraint Optimization via Splicing Iteration Reconsidering the energy efficiency of spiking neural networks Dirichlet process mixtures of block $g$ priors for model selection and prediction in linear models Monitoring access to piped water and sanitation infrastructure in Africa at disaggregated scales using satellite imagery and self-supervised learning Bayesian Surrogate Training on Multiple Data Sources: A Hybrid Modeling Strategy Shapley Value Approximation Based on k-Additive Games Fully AI-Generated Image Detection: Definition, Recent Advances and Challenges Smoothed Analysis of Learning from Positive Samples Reconstructing Sepsis Trajectories from Clinical Case Reports using LLMs: the Textual Time Series Corpus for Sepsis Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference Integral Imprecise Probability Metrics Offline Constrained Reinforcement Learning under Partial Data Coverage Approximating Simple ReLU Networks based on Spectral Decomposition of Fisher Information DreamPolicy: A Unified World-model Policy for Scalable Humanoid Locomotion Stationary MMD Points Sequential Off-Policy Learning with Logarithmic Smoothing Overparametrized models with posterior drift MAC: Masked Agent Collaboration Boosts Large Language Model Medical Decision-Making Reflect then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion Improving the Accuracy of Amortized Model Comparison with Self-Consistency Semi-Supervised Bayesian GANs with Log-Signatures for Uncertainty-Aware Credit Card Fraud Detection Neural ARFIMA model for forecasting BRIC exchange rates with long memory Multi-modal Bayesian Neural Network Surrogates with Conjugate Last-Layer Estimation A Formal Comparison Between Chain of Thought and Latent Thought Zero-shot Human Pose Estimation using Diffusion-based Inverse solvers Patterns behind Chaos: Forecasting Data Movement for Efficient Large-Scale MoE LLM Inference Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG) Learning density ratios in causal inference using Bregman-Riesz regression Feedback Lunch: Learned Feedback Codes for Secure Communications Arbitrated Indirect Treatment Comparisons Calibrated Multimodal Representation Learning with Missing Modalities Probabilistic Computers for Neural Quantum States Sparse Offline Reinforcement Learning with Corruption Robustness DarkQA: Benchmarking Vision-Language Models on Visual-Primitive Question Answering in Low-Light Indoor Scenes VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation Parabolic Position Encoding: Vision-Centric, Principled, Extrapolatable, General RACC: Representation-Aware Coverage Criteria for LLM Safety Testing Provably Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function Targeted Synthetic Control Method Learning Compact Boolean Networks Stopping Computation for Converged Tokens in Masked Diffusion-LM Decoding Diffusion-State Policy Optimization for Masked Diffusion Language Models Looking and Listening Inside and Outside: Multimodal Artificial Intelligence Systems for Driver Safety Assessment and Intelligent Vehicle Decision-Making Constructive conditional normalizing flows Efficient Remote KV Cache Reuse with GPU-native Video Codec Distributed Quantum Gaussian Processes for Multi-Agent Systems Molecular Design beyond Training Data with Novel Extended Objective Functionals of Generative AI Models Driven by Quantum Annealing Computer GeneZip: Region-Aware Compression for Long Context DNA Modeling EsoLang-Bench: Evaluating Genuine Reasoning in Large Language Models via Esoteric Programming Languages Maximin Robust Bayesian Experimental Design Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation Demystifying When Pruning Works via Representation Hierarchies Asymmetric Advantage Modulation Calibrates Entropy Dynamics in RLVR Doubly Outlier-Robust Online Infinite Hidden Markov Model Layered Mutability: Continuity and Governance in Persistent Self-Modifying Agents SAND: The Challenge on Speech Analysis for Neurodegenerative Disease Assessment Explicit integral representations and quantitative bounds for two-layer ReLU networks Identifiability and Stability of Generative Drifting with Companion-Elliptic Kernel Families Meta-Learning and Targeted Differential Privacy to Improve the Accuracy-Privacy Trade-off in Recommendations The Model Knows, the Decoder Finds: Future Value Guided Particle Power Sampling Workspace-Bench 1.0: Benchmarking AI Agents on Workspace Tasks with Large-Scale File Dependencies One Operator for Many Densities: Amortized Approximation of Conditioning by Neural Operators Self-Consolidating Language Models: Continual Knowledge Incorporation from Context Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding Discriminative Span as a Predictor of Synthetic Data Utility via Classifier Reconstruction Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement LearningArxiv cs.AI
A Cascaded Generative Approach for e-Commerce Recommendations EVOCHAMBER: Test-Time Co-evolution of Multi-Agent System at Individual, Team, and Population Scales RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking OLIVIA: Online Learning via Inference-time Action Adaptation for Decision Making in LLM ReAct Agents The Many Faces of On-Policy Distillation: Pitfalls, Mechanisms, and Fixes Don't Look at the Numbers: Visual Anchoring Bias and Layer-wise Representation in VLMs Do Vision-Language-Models show human-like logical problem-solving capability in point and click puzzle games? PIVOT: Bridging Planning and Execution in LLM Agents via Trajectory Refinement Rethinking LLMOps for Fraud and AML: Building a Compliance-Grade LLM Serving Stack The Semantic Training Gap: Ontology-Grounded Tool Architectures for Industrial AI Agent Systems Unlocking LLM Creativity in Science through Analogical Reasoning Template-as-Ontology: Configurable Synthetic Data Infrastructure for Cross-Domain Manufacturing AI Validation LatentRouter: Can We Choose the Right Multimodal Model Before Seeing Its Answer? Constraint-Data-Value-Maximization: Utilizing Data Attribution for Effective Data Pruning in Low-Data Environments Rethinking Evaluation for LLM Hallucination Detection: A Desiderata, A New RAG-based Benchmark, New Insights CPEMH: An Agentic Framework for Prompt-Driven Behavior Evaluation and Assurance in Foundation-Model Systems for Mental Health Screening CVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing Causal Bias Detection in Generative Artifical Intelligence Causal Algorithmic Recourse: Foundations and Methods LLM-X: A Scalable Negotiation-Oriented Exchange for Communication Among Personal LLM Agents Revisiting Privacy Preservation in Brain-Computer Interfaces: Conceptual Boundaries, Risk Pathways, and a Protection-Strength Grading Framework Transformer Interpretability from Perspective of Attention and Gradient AcuityBench: Evaluating Clinical Acuity Identification and Uncertainty Alignment Attributing Emergence in Million-Agent Systems What Do EEG Foundation Models Capture from Human Brain Signals? Under the Hood of SKILL.md: Semantic Supply-chain Attacks on AI Agent Skill Registry A Mechanistic Investigation of Supervised Fine Tuning Adaptive Teacher Exposure for Self-Distillation in LLM Reasoning Breaking $\textit{Winner-Takes-All}$: Cooperative Policy Optimization Improves Diverse LLM Reasoning CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing FibQuant: Universal Vector Quantization for Random-Access KV-Cache Compression Engagement Process: Rethinking the Temporal Interface of Action and Observation The Evaluation Differential: When Frontier AI Models Recognise They Are Being Tested Selective Off-Policy Reference Tuning with Plan Guidance Hierarchical LLM-Driven Control for HAPS-Assisted UAV Networks: Joint Optimization of Flight and Connectivity AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration -- Learning from Cheap, Optimizing Expensive Controllable User Simulation Read, Grep, and Synthesize: Diagnosing Cross-Domain Seed Exposure for LLM Research Ideation Optimal LTLf Synthesis Hindsight Hint Distillation: Scaffolded Reasoning for SWE Agents from CoT-free Answers Dual-Temporal LSTM with Hybrid Attention for Airline Passenger Load Factor Forecasting: Integrating Intra-Flight and Inter-Flight Booking Dynamics Native Explainability for Bayesian Confidence Propagation Neural Networks: A Framework for Trusted Brain-Like AI GAR: Carbon-Aware Routing for LLM Inference via Constrained Optimization CuSearch: Curriculum Rollout Sampling via Search Depth for Agentic RAG Nice Fold or Hero Call: Learning Budget-Efficient Thinking for Adaptive Reasoning Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations Seir\^enes: Adversarial Self-Play with Evolving Distractions for LLM Reasoning A CAP-like Trilemma for Large Language Models: Correctness, Non-bias, and Utility under Semantic Underdetermination OOM-Free Alpamayo via CPU-GPU Memory Swapping for Vision-Language-Action Models Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion Persistent and Conversational Multi-Method Explainability for Trustworthy Financial AI Measuring What Matters Beyond Text: Evaluating Multimodal Summaries by Quality, Alignment, and Diversity Toward Stable Value Alignment: Introducing Independent Modules for Consistent Value Guidance SafeSteer: A Decoding-level Defense Mechanism for Multimodal Large Language Models Allegory of the Cave: Measurement-Grounded Vision-Language Learning OptArgus: A Multi-Agent System to Detect Hallucinations in LLM-based Optimization Modeling When Reasoning Traces Become Performative: Step-Level Evidence that Chain-of-Thought Is an Imperfect Oversight Channel Towards Visually Grounded Multimodal Summarization via Cross-Modal Transformer and Gated Attention Beyond Inefficiency: Systemic Costs of Incivility in Multi-Agent Monte Carlo Simulations Why Users Go There: World Knowledge-Augmented Generative Next POI Recommendation Beyond World-Frame Action Heads: Motion-Centric Action Frames for Vision-Language-Action Models Automated Reformulation of Robust Optimization via Memory-Augmented Large Language Models MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare On-Policy Self-Evolution via Failure Trajectories for Agentic Safety Alignment From Clever Hans to Scientific Discovery: Interpreting EEG Foundational Transformers with LRP Toward Modeling Player-Specific Chess Behaviors Rethinking Supervision Granularity: Segment-Level Learning for LLM-Based Theorem Proving Rethinking Positional Encoding for Neural Vehicle Routing Domain Restriction via Multi SAE Layer Transitions When Simulation Lies: A Sim-to-Real Benchmark and Domain-Randomized RL Recipe for Tool-Use Agents From Noise to Diversity: Random Embedding Injection in LLM Reasoning Counterfactual Trace Auditing of LLM Agent Skills Assessing and Mitigating Miscalibration in LLM-Based Social Science Measurement On the Limitations of Large Language Models for Conceptual Database Modeling Random-Set Graph Neural Networks BadSKP: Backdoor Attacks on Knowledge Graph-Enhanced LLMs with Soft Prompts LegalCheck: Retrieval- and Context-Augmented Generation for Drafting Municipal Legal Advice Letters LLMs and the ZPD OmniRefine: Alignment-Aware Cooperative Compression for Efficient Omnimodal Large Language Models SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory Intermediate Artifacts as First-Class Citizens: A Data Model for Durable Intermediate Artifacts in Agentic Systems Autonomy and Agency in Agentic AI: Architectural Tactics for Regulated Contexts Large Language Models as Amortized Pareto-Front Generators for Constrained Bi-Objective Convex Optimization Adaptive Multi-Round Allocation with Stochastic Arrivals To Whom Do Language Models Align? Measuring Principal Hierarchies Under High-Stakes Competing Demands Rollout Cards: A Reproducibility Standard for Agent Research BoolXLLM: LLM-Assisted Explainability for Boolean Models MM-OptBench: A Solver-Grounded Benchmark for Multimodal Optimization Modeling ALGOGEN: Tool-Generated Verifiable Traces for Reliable Algorithm Visualization Do Enterprise Systems Need Learned World Models? The Importance of Context to Infer Dynamics MolDeTox: Evaluating Language Model's Stepwise Fragment Editing for Molecular Detoxification Goal-Oriented Reasoning for RAG-based Memory in Conversational Agentic LLM Systems No Action Without a NOD: A Heterogeneous Multi-Agent Architecture for Reliable Service Agents Why Conclusions Diverge from the Same Observations: Formalizing World-Model Non-Identifiability via an Inference Missingness-MDPs: Bridging the Theory of Missing Data and POMDPs How Useful Is Cross-Domain Generalization for Training LLM Monitors? NARA: Anchor-Conditioned Relation-Aware Contextualization of Heterogeneous Geoentities Executable Agentic Memory for GUI Agent LISA: Cognitive Arbitration for Signal-Free Autonomous Intersection Management Towards Automated Air Traffic Safety Assessment Around Non-Towered Airports Using Large Language Models Reinforcing VLAs in Task-Agnostic World Models $\delta$-mem: Efficient Online Memory for Large Language Models Classifier Context Rot: Monitor Performance Degrades with Context Length ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows Semantic Reward Collapse and the Preservation of Epistemic Integrity in Adaptive AI Systems Formalize, Don't Optimize: The Heuristic Trap in LLM-Generated Combinatorial Solvers CAAFC: Chronological Actionable Automated Fact-Checker for misinformation / non-factual hallucination detection and correction Towards Affordable Energy: A Gymnasium Environment for Electric Utility Demand-Response Programs Reward Hacking in Rubric-Based Reinforcement Learning ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents Stargazer: A Scalable Model-Fitting Benchmark Environment for AI Agents under Astrophysical Constraints Measuring Accuracy and Energy-to-Solution of Quantum Fine-Tuning of Foundational AI Models MultiSoc-4D: A Benchmark for Diagnosing Instruction-Induced Label Collapse in Closed-Set LLM Annotation of Bengali Social Media Breaking QAOA's Fixed Target Hamiltonian Barrier: A Fully Connected Quantum Boltzmann Machine via Bilevel Optimization AlphaEarth Satellite Embeddings for Modelling Climate Sensitive Diseases Towards Global Health Resilience Continuous Flood Nowcasting in South Asia: A Multi-Sensor Ensemble Remote Sensing Framework for Flood Extent Controlled Steering-Based State Preparation for Adversarial-Robust Quantum Machine Learning Multi-Fidelity Emulation of Atmospheric Correction Coefficients with Physics-Guided Kolmogorov-Arnold Networks QuIDE: Mastering the Quantized Intelligence Trade-off via Active Optimization Two Hebrew folk meteorological proverbs tested: rainfall on Rosh Chodesh and Shabbat Mevarechim as predictors of monthly precipitation (Israel, 1950-2024) MMTB: Evaluating Terminal Agents on Multimedia-File Tasks Context-Gated Associative Retrieval: From Theory to Transformers Steering Without Breaking: Mechanistically Informed Interventions for Discrete Diffusion Language Models Rotation-Preserving Supervised Fine-Tuning Vertex-Softmax: Tight Transformer Verification via Exact Softmax Optimization Hierarchical Multi-Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks LEAP: Unlocking dLLM Parallelism via Lookahead Early-Convergence Token Detection $\xi$-DPO: Direct Preference Optimization via Ratio Reward Margin TMPO: Trajectory Matching Policy Optimization for Diverse and Efficient Diffusion Alignment Structural Interpretations of Protein Language Model Representations via Differentiable Graph Partitioning AESOP: Adversarial Execution-path Selection to Overload Deep Learning Pipelines Seeing the Needle in the Haystack: Towards Weakly-Supervised Log Instance Anomaly Localization via Counterfactual Perturbation SURGE: Surrogate Gradient Adaptation in Binary Neural Networks Skill Drift Is Contract Violation: Proactive Maintenance for LLM Agent Skill Libraries Test-Time Personalization: A Diagnostic Framework and Probabilistic Fix for Scaling Failures Towards Scalable Persistence-Based Topological Optimization Few-Shot Truly Benign DPO Attack for Jailbreaking LLMs SkillGen: Verified Inference-Time Agent Skill Synthesis MT-JailBench: A Modular Benchmark for Understanding Multi-Turn Jailbreak Attacks The Authorization-Execution Gap Is a Major Safety and Security Problem in Open-World Agents DisagMoE: Computation-Communication overlapped MoE Training via Disaggregated AF-Pipe Parallelism An Execution-Verified Multi-Language Benchmark for Code Semantic Reasoning RT-Transformer: The Transformer Block as a Spherical State Estimator When and How to Canonize: A Generalization Perspective LoopUS: Recasting Pretrained LLMs into Looped Latent Refinement Models Backbone-Equated Diffusion OOD via Sparse Internal Snapshots DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization Simpson's Paradox in Behavioral Curves: How Aggregation Distorts Parametric Models of User Dynamics Efficient LLM Reasoning via Variational Posterior Guidance with Efficiency Awareness Trust Region Inverse Reinforcement Learning: Explicit Dual Ascent using Local Policy Updates SCOPE: Siamese Contrastive Operon Pair Embeddings for Functional Sequence Representation and Classification From Code-Centric to Intent-Centric Software Engineering: A Reflexive Thematic Analysis of Generative AI, Agentic Systems, and Engineering Accountability FragBench: Cross-Session Attacks Hidden in Benign-Looking Fragments An Executable Benchmarking Suite for Tool-Using Agents Portable Agent Memory: A Protocol for Cryptographically-Verified Memory Transfer Across Heterogeneous AI Agents MambaNetBurst: Direct Byte-level Network Traffic Classification without Tokenization or Pretraining Sequential Behavioral Watermarking for LLM Agents The Granularity Mismatch in Agent Security: Argument-Level Provenance Solves Enforcement and Isolates the LLM Reasoning Bottleneck Towards Model-Free Learning in Dynamic Population Games: An Application to Karma Economies Read, Extract, Classify: A Tool for Smarter Requirements Engineering Red-Teaming Agent Execution Contexts: Open-World Security Evaluation on OpenClaw ForceFlow: Learning to Feel and Act via Contact-Driven Flow Matching On Problems of Implicit Context Compression for Software Engineering Agents MCPShield: Content-Aware Attack Detection for LLM Agent Tool-Call Traffic ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks? ASD-Bench: A Four-Axis Comprehensive Benchmark of AI Models for Autism Spectrum Disorder Enabling Performant and Flexible Model-Internal Observability for LLM Inference Newton's Lantern: A Reinforcement Learning Framework for Finetuning AC Power Flow Warm Start Models Birds of a Feather Flock Together: Background-Invariant Representations via Linear Structure in VLMs Deploying Self-Supervised Learning for Real Seismic Data Denoising SEVO: Semantic-Enhanced Virtual Observation for Robust VLA Manipulation via Active Illumination and Data-Centric Collection HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training Control Charts for Multi-agent Systems ClinicalBench: Stress-Testing Assertion-Aware Retrieval for Cross-Admission Clinical QA on MIMIC-IV Quantifying the Reconstructability of Astrophysical Methods with Large Language Models and Information Theory: A Case Study in Spectral Reconstruction The Price of Proportional Representation in Temporal Voting Interpretability Can Be Actionable Benchmarking LLM-Based Static Analysis for Secure Smart Contract Development: Reliability, Limitations, and Potential Hybrid Solutions The Bicameral Model: Bidirectional Hidden-State Coupling Between Parallel Language Models Oversmoothing as Representation Degeneracy in Neural Sheaf Diffusion Muon is Not That Special: Random or Inverted Spectra Work Just as Well CATS: Cascaded Adaptive Tree Speculation for Memory-Limited LLM Inference Acceleration Adversarial SQL Injection Generation with LLM-Based Architectures Exploring Token-Space Manipulation in Latent Audio Tokenizers Continuous Discovery of Vulnerabilities in LLM Serving Systems with Fuzzing The Scaling Law of Evaluation Failure: Why Simple Averaging Collapses Under Data Sparsity and Item Difficulty Gaps, and How Item Response Theory Recovers Ground Truth Across Domains ReCoVer: Resilient LLM Pre-Training System via Fault-Tolerant Collective and Versatile Workload Leveraging RAG for Training-Free Alignment of LLMs ABRA: Agent Benchmark for Radiology Applications Comment and Control: Hijacking Agentic Workflows via Context-Grounded Evolution LiBaGS: Lightweight Boundary Gap Synthesis for Targeted Synthetic Data Selection Internalizing Curriculum Judgment for LLM Reinforcement Fine-Tuning RETUYT-INCO at BEA 2026 Shared Task 2: Meta-prompting in Rubric-based Scoring for German Curriculum Learning-Guided Progressive Distillation in Large Language Models DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense Prediction gwBenchmarks: Stress-Testing LLM Agents on High-Precision Gravitational Wave Astronomy Localization Boosting for Growth Markets: Mitigating Cross-Locale Behavioral Bias in Learning-to-Rank Generative AI for Visualizing Highway Construction Hazards Through Synthetic Images and Temporal Sequences Discovery of Interpretable Surrogates via Agentic AI: Application to Gravitational Waves Rethinking external validation for the target population: Capturing patient-level similarity with a generative model Beyond Similarity: Temporal Operator Attention for Time Series Analysis ReAD: Reinforcement-Guided Capability Distillation for Large Language Models A Theory of Time-Sensitive Language Generation: Sparse Hallucination Beats Mode Collapse Quantifying Rodda and Graham Gait Classification from 3D Makerless Kinematics derived from a Single-view Video in a Heterogeneous Pediatric Clinical Cohort Natural Language based Specification and Verification SOMA: Efficient Multi-turn LLM Serving via Small Language Model Beyond Similarity Search: Tenure and the Case for Structured Belief State in LLM Memory Epistemic Uncertainty for Test-Time Discovery Much of Geospatial Web Search Is Beyond Traditional GIS Physics-Informed Teacher-Student Ensemble Learning for Traffic State Estimation with a Varying Speed Limit Scenario Gradient-Free Noise Optimization for Reward Alignment in Generative Models Large Language Models for Causal Relations Extraction in Social Media: A Validation Framework for Disaster Intelligence Human-AI Productivity Paradoxes: Modeling the Interplay of Skill, Effort, and AI Assistance Options, Not Clicks: Lattice Refinement for Consent-Driven MCP Authorization Causal Fairness for Survival Analysis LPDP: Inference-Time Reward Control for Variable-Length DNA Generation with Edit Flows TRACE: Temporal Routing with Autoregressive Cross-channel Experts for EEG Representation Learning Deep Reasoning in General Purpose Agents via Structured Meta-Cognition Spatial Adapter: Structured Spatial Decomposition and Closed-Form Covariance for Frozen Predictors fg-expo: Frontier-guided exploration-prioritized policy optimization via adaptive kl and gaussian curriculum MaskTab: Scalable Masked Tabular Pretraining with Scaling Laws and Distillation for Industrial Classification Generative Diffusion Prior Distillation for Long-Context Knowledge Transfer Diabetic Retinopathy Classification using Downscaling Algorithms and Deep Learning Agent-BRACE: Decoupling Beliefs from Actions in Long-Horizon Tasks via Verbalized State Uncertainty Can a Single Message Paralyze the AI Infrastructure? The Rise of AbO-DDoS Attacks through Targeted Mobius Injection Conditional Memory Enhanced Item Representation for Generative Recommendation Deep Minds and Shallow Probes Predictive Maps of Multi-Agent Reasoning: A Successor-Representation Spectrum for LLM Communication Topologies Overcoming Dynamics-Blindness: Training-Free Pace-and-Path Correction for VLA Models SpatialForge: Bootstrapping 3D-Aware Spatial Reasoning from Open-World 2D Images Drop the Act: Probe-Filtered RL for Faithful Chain-of-Thought Reasoning Offline Policy Evaluation for Manipulation Policies via Discounted Liveness Formulation Digital Identity for Agentic Systems: Toward a Portable Authorization Standard for Autonomous Agents Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow Optimization Decaf: Improving Neural Decompilation with Automatic Feedback and Search A Study on Hidden Layer Distillation for Large Language Model Pre-Training PointGS: Semantic-Consistent Unsupervised 3D Point Cloud Segmentation with 3D Gaussian Splatting Efficient and provably convergent end-to-end training of deep neural networks with linear constraints Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting Sharpen Your Flow: Sharpness-Aware Sampling for Flow Matching When Looking Is Not Enough: Visual Attention Structure Reveals Hallucination in MLLMs TCP-SSM: Efficient Vision State Space Models with Token-Conditioned Poles Three Regimes of Context-Parametric Conflict: A Predictive Framework and Empirical Validation NexOP: Joint Optimization of NEX-Aware k-space Sampling and Image Reconstruction for Low-Field MRI SoK: Unlearnability and Unlearning for Model Dememorization EpiCastBench: Datasets and Benchmarks for Multivariate Epidemic Forecasting DiffScore: Text Evaluation Beyond Autoregressive Likelihood Keep What Audio Cannot Say: Context-Preserving Token Pruning for Omni-LLMs Exact Stiefel Optimization for Probabilistic PLS: Closed-Form Updates, Error Bounds, and Calibrated Uncertainty PRISM: A Geometric Risk Bound that Decomposes Drift into Scale, Shape, and Head Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Information When Emotion Becomes Trigger: Emotion-style dynamic Backdoor Attack Parasitising Large Language Models From Generic Correlation to Input-Specific Credit in On-Policy Self Distillation Enhancing Multilingual Counterfactual Generation through Alignment-as-Preference Optimization Unlocking UML Class Diagram Understanding in Vision Language Models Hide to See: Reasoning-prefix Masking for Visual-anchored Thinking in VLM Distillation Every Bit, Everywhere, All at Once: A Binomial Multibit LLM Watermark Weather-Robust Cross-View Geo-Localization via Prototype-Based Semantic Part Discovery Reviving In-domain Fine-tuning Methods for Source-Free Cross-domain Few-shot Learning Evolutionary Task Discovery: Advancing Reasoning Frontiers via Skill Composition and Complexity Scaling Cochise: A Reference Harness for Autonomous Penetration Testing Shaping Zero-Shot Coordination via State Blocking Emergent Communication between Heterogeneous Visual Agents through Decentralized Learning WildRelight: A Real-World Benchmark and Physics-Guided Adaptation for Single-Image Relighting Debiased Model-based Representations for Sample-efficient Continuous Control Self-organized MT Direction Maps Emerge from Spatiotemporal Contrastive Optimization A Research Agenda on Agents and Software Engineering: Outcomes from the Rio A2SE Seminar CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating DreamAvoid: Critical-Phase Test-Time Dreaming to Avoid Failures in VLA Policies Focusable Monocular Depth Estimation Behavioral Integrity Verification for AI Agent Skills Is Monotonic Sampling Necessary in Diffusion Models? Crash Assessment via Mesh-Based Graph Neural Networks and Physics-Aware Attention OTT-Vid: Optimal Transport Temporal Token Compression for Video Large Language Models REFNet++: Multi-Task Efficient Fusion of Camera and Radar Sensor Data in Bird's-Eye Polar View Multi-Timescale Conductance Spiking Networks: A Sparse, Gradient-Trainable Framework with Rich Firing Dynamics for Enhanced Temporal Processing Trade-offs in Decentralized Agentic AI Discovery Across the Compute Continuum Minimax Rates and Spectral Distillation for Tree Ensembles Martingale-Consistent Self-Supervised Learning GEAR: Granularity-Adaptive Advantage Reweighting for LLM Agents via Self-Distillation Improving the Performance and Learning Stability of Parallelizable RNNs Designed for Ultra-Low Power Applications EvoNav: Evolutionary Reward Function Design for Robot Navigation with Large Language Models Very Efficient Listwise Multimodal Reranking for Long Documents IPI-proxy: An Intercepting Proxy for Red-Teaming Web-Browsing AI Agents Against Indirect Prompt Injection Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification Incentivizing Truthfulness and Collaborative Fairness in Bayesian Learning Proteus: A Self-Evolving Red Team for Agent Skill Ecosystems AccLock: Unlocking Identity with Heartbeat Using In-Ear Accelerometers Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning Cooperative Robotics Reinforced by Collective Perception for Traffic Moderation High-lift Wing Separation Control via Bayesian Optimization and Deep Reinforcement Learning A Transfer Learning Evaluation of Deep Neural Networks for Image Classification The Illusion of Power Capping in LLM Decode: A Phase-Aware Energy Characterisation Across Attention Architectures CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference L2P: Unlocking Latent Potential for Pixel Generation SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces Efficient and Adaptive Human Activity Recognition via LLM Backbones Spectral Vision Transformer for Efficient Tokenization with Limited Data Boosting Omni-Modal Language Models: Staged Post-Training with Visually Debiased Evaluation Rethink the Role of Neural Decoders in Quantum Error Correction Scaling Laws and Tradeoffs in Recurrent Networks of Expressive Neurons H\"older Policy Optimisation Anomaly-Aware Vision-Language Adapters for Zero-Shot Anomaly Detection Missing Old Logits in Asynchronous Agentic RL: Semantic Mismatch and Repair Methods for Off-Policy Correction Clausal Deletion Backdoors for QBF: a Parameterized Complexity Approach The Deepfakes We Missed: We Built Detectors for a Threat That Didn't Arrive The Missing GAP: From Solving Square Jigsaw Puzzles to Handling Real World Archaeological Fragments Property-Level Reconstructability of Agent Decisions: An Anchor-Level Pilot Across Vendor SDK Adapter Regimes Learning What Matters: Adaptive Information-Theoretic Objectives for Robot Exploration Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning It's Not the Size: Harness Design Determines Operational Stability in Small Language Models CIDR: A Large-Scale Industrial Source Code Dataset for Software Engineering Research Premover: Fast Vision-Language-Action Control by Acting Before Instructions Are Complete A Deep Learning-based Receiver for Asynchronous Grant-Free Random Access in Control-to-Control Networks DriftXpress: Faster Drifting Models via Projected RKHS Fields Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding Overtrained, Not Misaligned Uncertainty Quantification for LLM-based Code Generation Not How Many, But Which: Parameter Placement in Low-Rank Adaptation Self-Supervised Laplace Approximation for Bayesian Uncertainty Quantification Heterogeneous SoC Integrating an Open-Source Recurrent SNN Accelerator for Neuromorphic Edge Computing on FPGA TriBand-BEV: Real-Time LiDAR-Only 3D Pedestrian Detection via Height-Aware BEV and High-Resolution Feature Fusion No More, No Less: Task Alignment in Terminal Agents TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning Harness Engineering as Categorical Architecture Pretraining Strategies and Scaling for ECG Foundation Models: A Systematic Study Mind the Pause: Disfluency-Aware Objective Tuning for Multilingual Speech Correction with LLMs Reconnecting Fragmented Citation Networks with Semantic Augmentation Iterative Audit Convergence in LLM-Managed Multi-Agent Systems: A Case Study in Prompt Engineering Quality Assurance Set-Aggregated Genome Embeddings for Microbiome Abundance Prediction TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching PriorZero: Bridging Language Priors and World Models for Decision Making KAN-CL: Per-Knot Importance Regularization for Continual Learning with Kolmogorov-Arnold Networks Transferable Delay-Aware Reinforcement Learning via Implicit Causal Graph Modeling EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records Manifold Sampling via Entropy Maximization BSO: Safety Alignment Is Density Ratio Matching A New Technique for AI Explainability using Feature Association Map MedHopQA: A Disease-Centered Multi-Hop Reasoning Benchmark and Evaluation Framework for LLM-Based Biomedical Question Answering A Family of Quaternion-Valued Differential Evolution Algorithms for Numerical Function Optimization QAP-Router: Tackling Qubit Routing as Dynamic Quadratic Assignment with Reinforcement Learning Fill the GAP: A Granular Alignment Paradigm for Visual Reasoning in Multimodal Large Language Models Agent-Based Post-Hoc Correction of Agricultural Yield Forecasts Discrete Flow Matching for Offline-to-Online Reinforcement Learning Trust the Batch, On- or Off-Policy: Adaptive Policy Optimization for RL Post-Training Scalable Token-Level Hallucination Detection in Large Language Models SEMIR: Semantic Minor-Induced Representation Learning on Graphs for Visual Segmentation Detecting overfitting in Neural Networks during long-horizon grokking using Random Matrix Theory OGLS-SD: On-Policy Self-Distillation with Outcome-Guided Logit Steering for LLM Reasoning Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space A Causal Language Modeling Detour Improves Encoder Continued Pretraining The Algorithmic Caricature: Auditing LLM-Generated Political Discourse Across Crisis Events Enabling AI-Native Mobility in 6G: A Real-World Dataset for Handover, Beam Management, and Timing Advance Solve the Loop: Attractor Models for Language and Reasoning KV-Fold: One-Step KV-Cache Recurrence for Long-Context Inference OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training Learning, Fast and Slow: Towards LLMs That Adapt Continually AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward A Counterfactual Cause in Situation Calculus Exploring Nonlinear Pathway in Parameter Space for Machine Unlearning Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference Bridging Dual Knowledge Graphs for Multi-Hop Question Answering in Construction Safety MAC: Masked Agent Collaboration Boosts Large Language Model Medical Decision-Making GeoLaux: A Benchmark for Evaluating Models' Geometry Performance on Long-Step Problems Requiring Auxiliary Lines Breaking Down and Building Up: Mixture of Skill-Based Vision-and-Language Navigation Agents A Formal Comparison Between Chain of Thought and Latent Thought Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Don't Pass@k: A Bayesian Framework for Large Language Model Evaluation OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices DAPS++: Rethinking Diffusion Inverse Problems with Decoupled Posterior Annealing About Time: Model-free Reinforcement Learning with Timed Reward Machines RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild THINKSAFE: Self-Generated Safety Alignment for Reasoning Models KEPO: Knowledge-Enhanced Preference Optimization for Multimodal Reasoning with Applications to Medical VQA Inference-Only Prompt Projection for Safe Text-to-Image Generation with TV Guarantees Probing RLVR training instability through the lens of objective-level hacking A Theoretical Analysis of Why Masked Diffusion Models Mitigate the Reversal Curse Learning Compact Boolean Networks Does Your Reasoning Model Implicitly Know When to Stop Thinking? EsoLang-Bench: Evaluating Genuine Reasoning in Large Language Models via Esoteric Programming Languages VASR: Variance-Aware Systematic Resampling for Reward-Guided Diffusion EmergentBridge: Improving Zero-Shot Cross-Modal Transfer in Unified Multimodal Embedding Models Layered Mutability: Continuity and Governance in Persistent Self-Modifying Agents Towards Shutdownable Agents: Generalizing Stochastic Choice in RL Agents and LLMs Rethinking Publication: A Certification Framework for AI-Enabled Research CoFlow: Coordinated Few-Step Flow for Offline Multi-Agent Decision Making The Model Knows, the Decoder Finds: Future Value Guided Particle Power Sampling Workspace-Bench 1.0: Benchmarking AI Agents on Workspace Tasks with Large-Scale File Dependencies Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding Alternating Target-Path Planning for Scalable Multi-Agent Coordination MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs Behavioral Determinants of Deployed AI Agents in Social Networks: A Multi-Factor Study of Personality, Model, and Guardrail Specification SkillMaster: Toward Autonomous Skill Mastery in LLM Agents Done, But Not Sure: Disentangling World Completion from Self-Termination in Embodied Agents Value-Decomposed Reinforcement Learning Framework for Taxiway Routing with Hierarchical Conflict-Aware Observations When Agents Overtrust Environmental Evidence: An Extensible Agentic Framework for Benchmarking Evidence-Grounding Defects in LLM Agents Learning to Explore: Scaling Agentic Reasoning via Exploration-Aware Policy Optimization BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models SeePhys Pro: Diagnosing Modality Transfer and Blind-Training Effects in Multimodal RLVR for Physics Reasoning PiCA: Pivot-Based Credit Assignment for Search Agentic Reinforcement Learning VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection UTS at PsyDefDetect: Multi-Agent Councils and Absence-Based Reasoning for Defense Mechanism Classification Attribution-based Explanations for Markov Decision Processes Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning Useful for Exploration, Risky for Precision: Evaluating AI Tools in Academic Research IndustryBench: Probing the Industrial Knowledge Boundaries of LLMs SLASH the Sink: Sharpening Structural Attention Inside LLMs GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing Probing Cross-modal Information Hubs in Audio-Visual LLMs BenchCAD: A Comprehensive, Industry-Standard Benchmark for Programmatic CAD Natural Language Processing in the Legal Domain Transformer-Based Autonomous Driving Models and Deployment-Oriented Compression: A Survey netFound: Principled Design for Network Foundation Models Developing a Multi-variate Prediction Model For COVID-19 From Crowd-sourced Respiratory Voice Data Pruning Federated Models through Loss Landscape Analysis and Client Agreement Scoring Reconsidering the energy efficiency of spiking neural networks BEExformer: A Fast Inferencing Binarized Transformer with Early Exits Modality-Inconsistent Continual Learning of Multimodal Large Language Models Tackling Fake Forgetting through Uncertainty Quantification Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression Welfare as a Guiding Principle for Machine Learning -- From Compass, to Lens, to Roadmap DIPSER: A Dataset for In-Person Student Engagement Recognition in the Wild Model-Level GNN Explanations via Rule-to-Graph Readout for Logit Reconstruction Toxicity Detection Should Measure Contextual Harm, Not Text-Intrinsic Badness Hallucination Detection in LLMs with Topological Divergence on Attention Graphs Reconstructing Sepsis Trajectories from Clinical Case Reports using LLMs: the Textual Time Series Corpus for Sepsis Social Human Robot Embodied Conversation (SHREC) Dataset: Benchmarking Foundational Models' Social Reasoning Express Your Doubts -- Probabilistic World Modeling Should not be Based on Token logprobs Characterizing the Robustness of Black-Box LLM Planners Under Perturbed Observations with Adaptive Stress Testing Intention-Conditioned Flow Occupancy Models Learning Adapter Rank via Symmetry Breaking Localising Dropout Variance in Twin Networks Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator Reflect then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks Dissecting Discrete Soft Actor-Critic: Limitations and Principled Alternatives Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction See the past: Time-Reversed Scene Reconstruction from Thermal Traces Using Visual Language Models Patterns behind Chaos: Forecasting Data Movement for Efficient Large-Scale MoE LLM Inference OASIS: A Multilingual and Multimodal Dataset for Culturally Grounded Spoken Visual QA Project-Level C-to-Rust Translation via Pointer Knowledge Graphs Feedback Lunch: Learned Feedback Codes for Secure Communications Investigating Thinking Behaviours of Reasoning-Based Language Models for Social Bias Mitigation Revisiting GAN with Bayes-Optimal Discrimination Detecting Data Contamination in LLMs via In-Context Learning Forget BIT, It is All about TOKEN: Towards Semantic Information Theory for LLMs A PDE Perspective on Generative Diffusion Models Towards Fine-Grained Code-Switch Speech Translation with Semantic Space Alignment FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning UnfoldLDM: Degradation-Aware Unfolding with Iterative Latent Diffusion Priors for Blind Image Restoration COGNITION: From Evaluation to Defense against Multimodal LLM CAPTCHA Solvers FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers In-Context Multi-Objective Optimization Industrial AI Robustness Card for Time Series Models Position: Universal Aesthetic Alignment Narrows Artistic Expression Multilevel Fair Allocation with Matroid-Rank Preferences DarkQA: Benchmarking Vision-Language Models on Visual-Primitive Question Answering in Low-Light Indoor Scenes Evaluating the Pre-Consultation Ability of LLMs using Diagnostic Guidelines One Prompt, Many Sounds: Modeling Listener Variability in LLM-Based Equalization Toward Autonomous Computational Catalysis Research via Agentic Systems Analytical Provisioning for Attention-FFN Disaggregated LLM Serving under Stochastic Workloads VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation BLOCK-EM: Preventing Emergent Misalignment via Latent Blocking Beyond RAG for Agent Memory: Retrieval by Decoupling and Aggregation RACC: Representation-Aware Coverage Criteria for LLM Safety Testing ReasonEdit: Editing Vision-Language Models using Human Reasoning Joint Learning of Hierarchical Neural Options and Abstract World Model Action Hallucination in Generative Vision-Language-Action Models Looking and Listening Inside and Outside: Multimodal Artificial Intelligence Systems for Driver Safety Assessment and Intelligent Vehicle Decision-Making Picasso: Holistic Scene Reconstruction with Physics-Constrained Sampling MieDB-100k: A Comprehensive Dataset for Medical Image Editing Molecular Design beyond Training Data with Novel Extended Objective Functionals of Generative AI Models Driven by Quantum Annealing Computer STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens The Compute ICE-AGE: Invariant Compute Envelope under Addressable Graph Evolution GeneZip: Region-Aware Compression for Long Context DNA Modeling Impact of AI Search Summaries on Website Traffic: Evidence from Google AI Overviews and Wikipedia The Confusion is Real: GRAPHIC -- A Network Science Approach to Confusion Matrices in Deep Learning Enabling clinical use of foundation models for computational pathology TabDLM: Free-Form Tabular Data Generation via Joint Numerical-Language Diffusion FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA Stochastic Parrots or Singing in Harmony? Testing Five Leading LLMs for their Ability to Replicate a Human Survey with Synthetic Data SpotIt+: Verification-based Text-to-SQL Evaluation with Database Constraints Sparsity and Out-of-Distribution Generalization Taming Score-Based Denoisers in ADMM: A Convergent Plug-and-Play Framework Vision-Based Hand Shadowing for Robotic Manipulation via Inverse Kinematics Accelerating Suffix Jailbreak attacks with Prefix-Shared KV-cache Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation Prototype Fusion: A Training-Free Multi-Layer Approach to OOD Detection Learning What Can Be Picked: Active Reachability Estimation for Efficient Robotic Fruit Harvesting The Luna Bound Propagator for Formal Analysis of Neural Networks Real Talk, Virtual Faces: Symbolic-Semantic Discourse Geometry of Virtual and Human Influencer Audiences EndoVGGT: GNN-Enhanced Depth Estimation for Surgical 3D Reconstruction MuViS: Multimodal Virtual Sensing Benchmark A Security Analysis of the OpenClaw AI Agent Framework Courtroom-Style Multi-Agent Debate with Progressive RAG and Role-Switching for Controversial Claim Verification Fine-Tuning Large Language Models for Cooperative Tactical Deconfliction of Small Unmanned Aerial Systems DWDP: Distributed Weight Data Parallelism for High-Performance LLM Inference on NVL72 Generative AI for material design: A mechanics perspective from burgers to matter Asymmetric Advantage Modulation Calibrates Entropy Dynamics in RLVR Inference-Time Code Selection via Symbolic Equivalence Partitioning KV Cache Offloading for Context-Intensive Tasks A Systematic Analysis of the Impact of Persona Steering on LLM Capabilities Efficient Emotion-Aware Iconic Gesture Prediction for Robot Co-Speech Neural Dynamic GI: Random-Access Neural Compression for Temporal Lightmaps in Dynamic Lighting Environments Spectral Entropy Collapse as a Phase Transition in Delayed Generalisation: An Interventional and Predictive Framework for Grokkin Dispatch-Aware Ragged Attention for Pruned Vision Transformers SAND: The Challenge on Speech Analysis for Neurodegenerative Disease Assessment A Lightweight Transformer for Pain Recognition from Brain Activity Where is the Mind? Persona Vectors and LLM Individuation StyleVAR: Controllable Image Style Transfer via Visual Autoregressive Modeling The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers Speech Enhancement Based on Drifting Models Architecture Determines Observability of Transformers From Flat Facts to Sharp Hallucinations: Detecting Stubborn Errors via Gradient Sensitivity CoRAL: Contact-Rich Adaptive LLM-based Control for Robotic Manipulation Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization One Turn Too Late: Response-Aware Defense Against Hidden Malicious Intent in Multi-Turn Dialogue When AI Meets Science: Research Diversity, Interdisciplinarity, Visibility, and Retractions across Disciplines in a Global Surge Distributional Process Reward Models: Calibrated Prediction of Future Rewards via Conditional Optimal Transport Narrow Secret Loyalty Dodges Black-Box Audits Sycophantic AI makes human interaction feel more effortful and less satisfying over time Flow-OPD: On-Policy Distillation for Flow Matching Models VLADriver-RAG: Retrieval-Augmented Vision-Language-Action Models for Autonomous Driving SPECTRE: Hybrid Ordinary-Parallel Speculative Serving for Resource-Efficient LLM Inference SDG-MoE: Signed Debate Graph Mixture-of-Experts Phase Transitions in Affective Meaning Divergence: The Hidden Drift Before the Break AI Native Asset Intelligence Matching Meaning at Scale: Evaluating Semantic Search for 18th-Century Intellectual History through the Case of Locke Retrieve-then-Steer: Online Success Memory for Test-Time Adaptation of Generative VLAs HeteroGenManip: Generalizable Manipulation For Heterogeneous Object Interactions When Does Non-Uniform Replay Matter in Reinforcement Learning? RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs Is Data Shapley Not Better than Random in Data Selection? Ask NASH Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories Engineering Robustness into Personal Agents with the AI Workflow Store Confidence-Guided Diffusion Augmentation for Enhanced Bangla Compound Character RecognitionGithub Trending (Python)
CloakHQ/CloakBrowser datawhalechina/hello-agents HKUDS/AI-Trader NousResearch/hermes-agent fishaudio/fish-speech github/spec-kit BerriAI/litellm openinterpreter/open-interpreter FoundationAgents/MetaGPT bytedance/UI-TARS jundot/omlx 666ghj/MiroFish huggingface/transformersGithub Trending (C)
curl/curl FreeRTOS/FreeRTOS-Kernel HarbourMasters/Shipwright facebook/zstd AcademySoftwareFoundation/openexr jqlang/jq tmux/tmux OISF/suricata nrfconnect/sdk-nrf taosdata/TDengine lz4/lz4 php/php-src HarbourMasters/Starship openssl/openssl Zelda64Recomp/Zelda64Recomp portapack-mayhem/mayhem-firmware nginx/nginxNature
Stereoelectronic manipulation of ligands for perovskite solar cells The hunt for the next antibiotics Red-light therapy is all the rage — does it work? Pristine Antarctic ice records the Solar System’s travels An ultra-faint, chemically primitive galaxy forming in the reionization era More concentrated precipitation decreases terrestrial water storage Efficient robot navigation inspired by honeybee learning flights Sustaining microglial reparative function enhances stroke recovery Adaptive cellular evolution in the intestine of hyperdiverse cichlid fishes Long-term editing of brain circuits using an engineered electrical synapse State media control influences large language models Enhanced response of extreme compound events to cumulative CO2 emissions Enamel proteins from six Homo erectus specimens across China Twenty-first century emergence of alpine fire in Central African mountains Ecotypes of triple-negative breast cancer in response to chemotherapy Gaussian boson sampling with 1,024 squeezed states in 8,176 modes Lineage and organ signals sequentially build organ intrinsic nervous systems SNOR promotes translation restart after dormancy Mesoscale atomic engineering in a crystal lattice Subspace communication in the hippocampal–retrosplenial axis Large-scale discovery, analysis and design of protein energy landscapes Asymmetric splitting in dividing lipid-nucleotide multilamellar droplets Sleep chart of biological ageing clocks in middle and late life Developmental gene expression patterns driving species-specific cortical features Obesity rise plateaus in developed nations and accelerates in developing nations Eosinophils drive intestinal remodelling and innate defence in reproduction A synaptic locus of song learning An X-linked long non-coding RNA, PTCHD1-AS, and the core features of autism White matter micro- and macrostructure brain charts for the human lifespan Street sellers and private physicians fuel antibiotic overuse Old antibiotics are being revived to fight new threats Fast and furious: the gaseous outflows of quasars in the early Universe were extreme Sleep linked to slower ageing: huge study pinpoints the right amount Growth charts reveal how the brain’s ‘communication highways’ change throughout life Can AI tools assess coding assignments? Did Homo erectus and Denisovans mate? Tooth proteins hint at ancient trysts The fightback against antimicrobial resistance starts at home AI can design viruses, toxins and other bioweapons. How worried should we be? Why farm workers need protection from antimicrobial resistance Antibiotics look like any other drugs — and that’s a problem Relics of the first stars spotted in a distant, ultra-faint galaxy Targeted electron beam creates thousands of atomic crystal defects Bee-inspired navigation robot pinpoints its home using a neural network Six key developments in the fight against antimicrobial resistance State media control shapes LLM behaviour by influencing training data Economic reform can save antibiotic innovation Antifungal resistance is growing – will new treatments turn the tables? Are non-antibiotic drugs contributing to antimicrobial resistance? The futile beauty of flightless birds Obesity has risen in all countries — but at a faster pace in poorer ones At last, a pill that can prevent COVID after exposure to infected people Protective maternal gut instincts Author Correction: Predictive coding of reward in the hippocampus Author Correction: A mechanical ratchet drives unilateral cytokinesis Cruise-ship hantavirus cluster exposes a wider preparedness gap Charles Darwin reports a squirrel surprise UK Biobank breach prompts the field of genomics to rethink open science Ice core reveals longest-ever continuous record of Earth’s climate Animal-testing alternatives will require a cultural change in research institutions Dried to survive: desiccated tardigrades tolerate high heat Chemistry in the AI era Daily briefing: The cities getting ‘richer and cleaner’ Bacterial−viral conflicts shape cholera evolution Science can take the lead in making better measures of economic growth How to vibe code in science: early adopters share their tips AI bills can be as big as a postdoc salary. Is the cost worth it? Open data is key to genomics research — if the information can be kept safe Publisher Correction: Presymptomatic training mitigates functional deficits in a mouse model of Rett syndrome Audio long read: The air is full of DNA — here’s what scientists are using it for The sleep paradox: why do humans sleep so little when we need it so much? Elsevier vs Meta: first science publisher sues over scraped research papers Daily briefing: Why humans sleep so much less than other apes Best. Day. Ever. What does a good day in science look like? Hantavirus outbreak exposes uncertainty about how disease spreads Giant map reveals thousands of cities worldwide with successful green policiesCNN
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
Remains of 2nd U.S. soldier who went missing in Morocco have been recovered Foreign ticket holders from World Cup teams' countries won't have to pay bonds to enter U.S. Senate confirms Kevin Warsh as next chair of the Federal Reserve Neanderthals may have drilled out a cavity 59,000 years ago Greetings from Seville, where springtime means caracoles Alex Murdaugh will get a new murder trial. Here's a timeline of his case Gunfire breaks out in Philippine Senate as police try to arrest senator War in Iran costs $29 billion so far. And, students are finally improving in math Putin hails Russia's test launch of a new ballistic missile Japanese snack packages turning black-and-white as Iran war depletes ink supplyThe Atlantic
Sean Duffy Wants You to Take a Road Trip While Gas Prices Skyrocket Photos: The Global Cost of the Iran War An Urgent Question for Anyone Who Uses Social Media Here’s Another Way America Will Choke at the World Cup What Happens if the U.S. Defaults? Why Did Bill Cassidy Do It? The Trump Counterterrorism Strategy Makes America More Vulnerable The AI Backlash Could Get Very Ugly The Democrats Can’t Let Go of Racial Preferences The Mystery of the Golden Coffin The Final Hours Kash Patel’s Performative Deflections The Close, Prolonged Contact Myth Big Brother Is ReTruthing You A Profound Mismatch in Modern Medicine How AI Killed a 133-Year-Old Princeton Tradition Spencer Pratt and the Temptations of Populism The Unhappy Hosts of the World Cup What Did Jamaica Do to Deserve This? The Secret of Survivor He’s So Random The Most Awkward Cameo in The Devil Wears Prada 2 The Assassin’s Delusion Trump Isn’t Setting Vance or Rubio Up for the Future Putin’s War Comes Home to MoscowVox
The Supreme Court abortion pills case, explained What is an aging face supposed to look like? We’re asking the wrong question about the hantavirus outbreak Trump’s China policy is nearly the exact opposite of what everyone expected Are far-right politics just the new normal? Flavored vapes doomed Trump’s FDA head Hantavirus will test if the world learned anything from Covid What would J.R.R. Tolkien think of Palantir? Virginia Democrats’ irresponsible new plan to save their gerrymander Why the American Southeast is becoming a new hot spot for wildfiresAl Jazeera
Trump-Xi summit live: US, China leaders to hold talks on trade, tech, Iran Iran war live: Tehran slams ‘collusion’ as Netanyahu ‘secretly’ visits UAE Trump administration offers $100m in aid to Cuba in exchange for reform Memphis residents file lawsuit alleging abuses by Trump-backed task force Man City beat Palace to close gap with Arsenal to 2, with two games to play Trump taps David Venturella, former private prison executive, to lead ICE Funeral held for two Lebanese paramedics killed in Israeli attack Trump-Xi summit: Why Beijing might have the advantage Philip Davis and Progressive Liberal Party win general election in Bahamas Why Louisiana paused its US House primary election amid redistricting push Crowds gather in Tehran to send off Iran’s World Cup team US waives visa bonds of up to $15,000 for FIFA World Cup ticket holders Five things you may not know about US-China ties Republicans break ranks, but Senate fails to curb Trump’s Iran war powers Russia unleashes massive drone barrage on Ukraine killing six New eye scan detects diseases years before symptoms appear Will the boycott of Eurovision have any impact? Hamas must disarm, not ‘disappear’ from Gaza: Board of Peace’s Mladenov UAE denies Netanyahu visited in ‘secret’ during US-Israel war on Iran There’s an app for that: Gaza’s developers use tech to solve war problems Mexico’s Claudia Sheinbaum denies reports of CIA operations against cartels Kevin Warsh confirmed as new US Federal Reserve chair amid controversy How US donor bodies were sold for Israeli military training US Senator Cassidy’s vote to convict Trump looms over Louisiana primary Drug overdose deaths drop in United States for third year in a rowArs Technica
Solar drone with jumbo jet wingspan broke a flight record—then it crashed FCC angers small carriers by helping AT&T and Starlink buy EchoStar spectrum Protein in Homo erectus teeth suggests Denisovans gave us some of their DNA Foiled plot tried to sneak 49 lbs of cocaine into Australia via Xerox printers AI invades Princeton, where 30% of students cheat—but peers won't snitch The physics of how Olympic weightlifters exploit barbell's "whip" NASA provides some details about Artemis III, but hard decisions remain A new US military wargame series began by simulating a nuclear weapon in orbit Neanderthals drilled cavities to treat a toothache 59,000 years ago Altman forced to confront claims at OpenAI trial that he's a prolific liar Windows Update is getting better at saving your PC from buggy drivers Amazon devices chief says a new smartphone is “just not the goal” Anthropic blames dystopian sci-fi for training AI models to act “evil” Gravitational lens shows a galaxy just 800 million years post-Big Bang Blue Origin may need external funding to hit ambitious launch targets Daredevil: Born Again S2 gives us a darker, grittier canvas Rivian adds a new onboard AI assistant to its latest software update Could this be the moment that drug manufacturing takes off in orbit? The newest AI boom pitch: Host a mini data center at your home FDA chief resigns after Trump admin forced approval of fruity e-cigsSlashdot
Man Who Stole Beyonce's Hard Drives Gets Five-Year Sentence SOLAI Launches $399 Solode Neo Linux AI Computer Software Developers Say AI Is Rotting Their Brains Windows Update Is Getting Automatic Rollbacks For Faulty Drivers Fragnesia Made Public As Latest Linux Local Privilege Escalation Vulnerability LinkedIn Planning To Lay Off 5% of Staff In Latest Tech-Sector Cuts KDE Receives $1.4 Million Investment From Sovereign Tech Fund Harvard Votes On Limiting 'A' Grades Meta Employees Launch Protest Against Mouse-Tracking Tech At US Offices CERN Open Sources Its KiCad Component Libraries Why Are Some People Mosquito Magnets? Sam Altman Testifies That Elon Musk Wanted Control of OpenAI South Korea Floats 'Citizen Dividend' Using AI Profits Instructure Pays Canvas Hackers To Delete Students' Stolen Data Amazon Employees Are 'Tokenmaxxing' Due To Pressure To Use AI ToolsSmithsonian Magazine
Did Homo Sapiens Really Outsmart Neanderthals? Different Skull Shapes Didn’t Necessarily Mean Unequal Brain Capacity, New Research Shows The Relaxation of Regularly Listening to Songs or Drawing Pictures May Actually Slow Cellular Aging, New Research Shows This Renaissance Painting Took a Winding Path From Hitler’s Munich Apartment to an American Journalist’s Home to the National Gallery in London This Microscopic Fungus Survived NASA's Sterilization Protocols—and Is Potentially Hardy Enough to Contaminate Mars See 17 Intricate Microscope Photographs That Make the Miniature World Immense. They Won the Evident Image of the Year Contest These Marine Algae Glow When Waves Disturb Them. Their Bioluminescence Could Power Electricity-Free Lamps of the Future Wolves Are Thriving at Michigan's Isle Royale National Park, Reaching Their Highest Numbers in Almost 50 Years, New Data Suggests How 'Seabird Sue' Blends Art and Science to Attract Birds Back to Lost Habitat Potatoes Didn't Just Feed Ancient Indigenous Communities in the Andes—the Tasty Tubers Also Reshaped People's DNA NASA Just Uploaded More Than 12,000 Stunning Photos From the Artemis 2 Mission. Here Are a Few of Our FavoritesInfoQ
Anthropic Launches Claude Platform on AWS Airbnb Implements Context-Aware Identity Model to Support Privacy-First Social Features JEP 533 Tightens Exception Handling in Java's Structured Concurrency for JDK 27 Presentation: What I Learned Building Multi-Agent Systems From Scratch Article: The Mathematics of Backlogs: Capacity Planning for Queue Recovery Grafana's Pyroscope 2.0 Makes Continuous Profiling Practical at Scale AWS WorkSpaces Now Lets AI Agents Operate Legacy Desktop Applications Without APIs Presentation: Beyond Coding: How Senior ICs Grow Influence and Drive Impact GitHub Expands Secret Scanning with General Availability of MCP Server Integration AdonisJS v7 Ships End-to-End Type Safety, Reworked Starter Kits and Zero-Config OpenTelemetry Article: Time-Series Storage: Design Choices That Shape Cost and Performance Copy Fail and Dirty Frag: Linux Page-Cache Exploits Target Every Major Distribution Cangjie, a New Open-Source Compiled Language with Native Effect Handlers and Algebraic Data Types Coder Agents Enable Running AI Coding Workflows on Self-Hosted Infrastructure Netflix Serves 84% of Query Results from Cache with Interval-Aware Caching in Apache DruidDynomight
What’s with all the slide decks? You’re probably taking the wrong painkiller I quit drinking for a year LLMs predict my coffee The modern formatting addiction in writing Maybe there’s a pattern here? Heritability of human life span is about 50% when heritability is redefined to be something different Why read novels? Good if make prior after data instead of before Why the chicken crossed the road, according to various entities Underrated reasons to be thankful V Make product worse, get money Dating: A mysterious constellation of facts Pointing machines, population pyramids, post office scandal, type species, and horse urine Will the explainer post go extinct? Y’all are over-complicating these AI-risk arguments Shoes, Algernon, Pangea, and Sea Peoples Dear PendingKetchup You can try to like stuff I guess I was wrong about AI persuasion Futarchy’s fundamental flaw — the market — the blog post Heritability puzzlers New colors without shooting lasers into your eyes My 9-week unprocessed food self-experiment Links for July Do blue-blocking glasses improve sleep? Scribble-based forecasting and AI 2027 The AI safety problem is wanting Thoughts on the AI 2027 discourse Moral puzzles: Man vs. machineMarginal Revolution
Xavier, Nick, and Tristan podcast with me Wednesday assorted links Some non-obvious reasons why AI will create some transitional problems in employment Data centers are good Hollis Robbins on AI and higher education Tuesday assorted links Ideas Behind Their Time: Part Two Early evidence on school smartphone bans and mental health Using agents to build economic datasets Why are stock prices still so high? Monday assorted links Another use of AI in research (from my email) The interstate trade effects of autonomous trucks USA sectoral shift fact of the day Sunday assorted linksNot Boring
Riding the Leopard Weekly Dose of Optimism #192 Weekly Dose of Optimism #191 Scarce Assets Weekly Dose of Optimism #190 The Great Blue Frontier Weekly Dose of Optimism #189 Weekly Dose of Optimism #188 Weekly Dose of Optimism #187 Bad Analogies Weekly Dose of Optimism #186 Electromagnetism Secretly Runs the World Weekly Dose of Optimism #185 World Models: Computing the Uncomputable Weekly Dose of Optimism #184 Weekly Dose of Optimism #183 Costless Sacrifice Weekly Dose of Optimism #182 Weekly Dose of Optimism #181 Power in the Age of IntelligenceCoding Horror
Thank You For Being a Friend Launching The Rural Guaranteed Minimum Income Initiative The Road Not Taken is Guaranteed Minimum Income Let's Talk About The American Dream Stay Gold, America The Great Filter Comes For Us All I Fight For The Users The 2030 Self-Driving Car Bet Updating The Single Most Influential Book of the BASIC Era Building a PC, Part IX: Downsizing The Rise of the Electric Scooter Electric Geek Transportation Systems An Exercise Program for the Fat Web The Cloud Is Just Someone Else’s Computer What does Stack Overflow want to be when it grows up?Quanta Magazine
How the Bird Eye Was Pushed to an Evolutionary Extreme How Unknowable Math Can Help Hide Secrets Will We Ever Be Able To Forecast Volcanic Eruptions Like Weather? What Causes Lightning? The Answer Keeps Getting More Interesting. The Hidden Mathematical Dance Inside Plant CellsScience Daily
Quantum breakthrough could revolutionize teleportation and computing A rare cancer-fighting plant compound has been decoded New quantum algorithm solves “impossible” materials problem in seconds Scientists discover a mysterious silicone pollutant that may be everywhere This daily habit could lower dementia risk by 35%, scientists say Cacti are evolving shockingly fast and scientists just learned why Your “um” and pauses could reveal early dementia risk Halley’s comet may be named after the wrong person Scientists discover a weak spot shared by polio and common cold viruses Scientists make old blood stem cells young again in major anti-aging breakthrough Scientists say this algae could remove microplastics from drinking water Humans returned to Britain 500 years earlier than scientists thought after the last ice age This strange giant dinosaur may change what we know about Jurassic titans NASA’s Hubble reveals a giant chaotic planet nursery unlike anything seen before Scientists discover hidden chemical signature that could reveal alien life Scientists reversed biological age in older adults with a 4-week diet change Scientists discover hidden fat-burning switch that could strengthen bones Stunning fossil discovery challenges the origins of animal life James Webb telescope reveals the clearest map ever of the Universe’s cosmic web Scientists say this common sweetener may be quietly rewiring your metabolism This 800-year-old Chinese exercise helps lower blood pressure naturally This simple strength test could predict how long you live JUPITER supercomputer breaks world record with 50-qubit quantum simulation A supervolcano nearly wiped out humanity 74,000 years ago, but humans did something incredible NASA’s Psyche probe is about to slingshot around Mars at 12,000 mph NASA’s Curiosity rover accidentally pulled a rock out of Mars Scientists say Dante’s Inferno described an asteroid impact 500 years before modern science Scientists say 8,500 steps a day could stop weight from creeping back Ozempic delivers major weight loss in adults over 65, study finds “Cannot be explained” – New ultra stainless steel stuns researchers Scientists successfully transfer longevity gene and extend lifespan Brain scans reveal a shocking difference between psychopaths and other people Scientists discover the brain’s hidden “stop scratching” switch Researchers say AI chatbots may blur the line between reality and delusion Scientists put a tiny lump of metal in two places at once in record-breaking quantum experiment Scientists finally solve the 100-year mystery behind tough tires New drugs could wipe out the “zombie cells” linked to cancer and aging Ultra-processed foods linked to higher risk of heart disease and early death Scientists reversed liver aging with young gut bacteria in stunning study Scientists stunned as volcano cloud destroys methane in the atmosphere Scientists say a critical Atlantic ocean current is weakening and the world could feel the impact Antarctica is melting from below and scientists say it’s worse than expected New chemical kills 95% of termites without harming humans New obesity discovery rewrites decades of fat science A common constipation drug shows surprising power to protect kidneys Scientists discover a new way to prevent gum disease without killing good bacteria Scientists make stunning discovery that could change our understanding of the Universe Physicists discover quantum particles that break the rules of reality Scientists just sent unhackable quantum keys across 120 kilometers Black licorice compound shows promise against inflammatory bowel disease The hidden atomic gap that could break next-generation computer chips Scientists say this simple music trick can boost workout endurance by 20% Scientists found the “holy grail” gene that could one day help humans regrow limbs Deep diving fur seals experience delayed heart surges after returning to land Interstellar comet 3I/ATLAS contains strange water never seen in our solar system The Universe’s biggest black holes may be forged in violent mergers Ice age humans in China crafted surprisingly advanced stone tools 146,000 years ago Scientists accidentally discover DNA that breaks the rules of life Doctors warn this popular vitamin may quietly disrupt cancer care New “Trojan horse” obesity drug supercharges weight loss in early testsSpaceflight Now
SpaceX targets May 19 for debut of Starship Version 3, Launch Pad 2 For a second time, poor weather scrubs Cargo Dragon mission launch to the space station SpaceX launches intelligence-gathering satellites for the National Reconnaissance Office Rescue mission for NASA’s $500 million space telescope passes key testing milestone Rocket Lab announces five-launch Neutron deal as it continues aiming for late 2026 debut SpaceX launches 24 Starlink satellites on Falcon 9 rocket from Vandenberg SFB Lockheed Martin joins collaboration with Firefly Aerospace and Seagate for off-shore launches SpaceX launches South Korean Earth observation satellite, plus 44 more payloads on midnight Falcon 9 rideshare mission SpaceX marks May Day, National Space Day with Starlink mission on a Falcon 9 rocket from Cape Canaveral SpaceX launches 24 Starlink satellites on Falcon 9 rocket from Vandenberg SFBSpace Daily
The thing you have been calling a fear of heights may not be a fear of heights at all — an Artemis II astronaut explained this better than most therapists I’ve read Having the time you always wanted does not always relax you — sometimes it exposes what busyness was covering Psychology suggests spending just two hours in nature each week may improve health and wellbeing, even across shorter visits NASA research suggests strategic napping improves alertness and performance — and most workplaces ignore it Tokyo isn’t the future anymore — it’s the future 1980s pop culture promised us, perfectly preserved, while Seoul, Shenzhen, and Dubai have spent the last decade building the version that comes after Quote by Kobe Bryant: “The biggest mistake we make in life is thinking we have time” Psychology suggests people who stay sharp and perceptive deep into later life may share one habit: they keep participating in the world instead of watching from the sidelines Adults who keep their wants small, their meals modest, and their requests reasonable aren’t always humble — some learned that asking for more than the bare minimum got them labelled difficult inside their own families People comfortable saying “I don’t know” may have a more honest relationship with intelligence The FCC just handed SpaceX a major spectrum win, but EchoStar’s $2.4 billion escrow fight could reshape the next telecom dealMartin Fowler
What is Code Fragments: May 5 Bliki: Mythical Man Month Fragments: April 29 Structured-Prompt-Driven Development (SPDD) Fragments: April 21 Fragments: April 14 Alan Turing play in Cambridge MA Fragments: April 9 Feedback Flywheel Principles of Mechanical Sympathy Fragments: April 2 Harness engineering for coding agent users Encoding Team Standards Fragments: March 26 Bliki: Architecture Decision Record Fragments: March 19 Context Anchoring Fragments: March 16 Fragments: March 10 Ideological Resistance to Patents, Followed by Reluctant Pragmatism Humans and Agents in Software Engineering Loops Design-First Collaboration Knowledge Priming Bliki: Host Leadership Bliki: Agentic Email Harness Engineering Bliki: Future Of Software Development Context Engineering for Coding Agents Bliki: Excessive BoldEmbedded Artistry
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”? Q&A: How Many Iterations Do You Recommend for Scaling From a Prototype to Mass Production? Q&A: To What Degree Should We Understand Other Disciplines? Meson Pattern: Monorepo that Supports Individual Subproject Builds From Concept to Launch: What It Takes to Build and Ship a New DeviceAttack Magazine
AlphaTheta-Backed Study Examines Electronic Music’s Effect On Stress And Recovery Visualising Voices: Connecting TouchDesigner With Ableton Live Kiviak Launches WoFi LE Portable Sampler Expressive E – “We’re Not Trying To Replace Established Ways Of Working But To Extend Them” Expressive E Osmose CE 61 Review: Take Control Key Takeaways From IMS 2026 Electronic Music Industry Reaches $15.1 Billion As Global Growth Accelerates Save 25% On Ableton Live 12, Upgrades & Packs Lady Tazz – “I Genuinely Believe In The Greater Collective” Urs Heckmann – “What Most People Seek Is Authenticity”DJ TechTools
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? The DJM-V5 from AlphaTheta: 3 channels, 4-band EQ, V10 sound – no Beat FX or crossfader. Traktor MX2: Native Instruments’ New 2-Channel Controller Akai Launches MPC Live III Standalone With 8-Core Processor, Clip Matrix, Stems, and 3D Pads Ableton launches Live 12 Suite rent-to-own plan – and it’s not a subscription Meet the TR-1000: Roland’s new analog/digital drum machine with built-in sampling