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Trump downplays differences with China's Xi over Iran as he heads to Beijing for high-stakes summit - AP News F.D.A. Commissioner Marty Makary Resigns After Weeks of Pressure - The New York Times Trump Says ‘I Don’t Think About Americans’ Financial Situations’ When Negotiating Iran War - Forbes U.K. Prime Minister Keir Starmer rejects mounting calls to resign, even from his own party - CBS News FBI Director Kash Patel denies drinking allegations in heated Senate exchange - AP News Trump faces uphill climb on suspending gas tax - Axios Justice Dept. charges shipping company in deadly Key Bridge collapse - The Washington Post Florida's "Alligator Alcatraz" detention center to close as soon as June, sources say - CBS News Key House GOP moderate dismisses ballroom funding request - Live Updates - Politico Trump posts late-night social media spree as Iran war drags on - The Guardian 3 King County residents possibly exposed to hantavirus linked to cruise - The Seattle Times Ukraine nears deal with Pentagon to test drones in US - Financial Times Israel's government is expected to collapse over ultra-Orthodox military draft - NPR Exclusive: Iraq, Pakistan strike energy deals with Iran as Tehran flexes Hormuz control - Reuters OpenAI’s Sam Altman takes the stand to fend off Elon Musk’s accusations he ‘stole a charity’ - NPR Nvidia’s Huang Wants to Sell Chips to China. Trump Has Other Priorities. - Barron's Tariff Refunds of $35.5 Billion Cleared for Importers So Far - Yahoo Finance US household debt ticks up to new all-time high as inflation continues to rise - ABC News - Breaking News, Latest News and Videos First look at Googlebook: A premium Chromebook alternative for Android users - ZDNET iOS 26.5’s Apple Maps app has two notable changes, here’s what’s new - 9to5Mac Google is bringing AirDrop support to many more Android phones, QR cloud share - 9to5Google Google Unveils New Android AI Features Ahead of Apple’s Siri Revamp - Bloomberg.com Irish writer calls public broadcaster’s decision not to air Eurovision ‘antisemitic’ - The Times of Israel Conan O’Brien to Host the 2027 Oscars, Marking Third Consecutive Year - Variety Jimmy Kimmel Roasts Bosses at ABC Upfronts, Says “I Cost Our Company Billions” - The Hollywood Reporter Jamie Foxx expecting third baby, first with girlfriend Alyce Huckstepp - Entertainment Weekly Basketball star Brandon Clarke, Memphis Grizzlies forward, dies at age 29 - Al Jazeera Sources: Daryl Morey out, Nick Nurse to remain with 76ers - ESPN NFL schedule news: Eagles vs. Jaguars in London - Bleeding Green Nation Luka Dončić ‘made it clear’ to Lakers he wants to continue playing with Austin Reaves - Silver Screen and Roll “Cloacal Diving” Observed In Remoras As They’re Filmed Entering The Private Parts Of Manta Rays For The First Time - IFLScience Watch SpaceX launch 6,500 pounds of cargo to the International Space Station on May 13 - Space Hubble Survey Sets Up Roman’s Future Look Near Milky Way’s Center - NASA Science (.gov) Once again, SpaceX has set a new record for the tallest rocket ever built - Ars Technica All Your Hantavirus Questions, Answered by an Infectious Disease Expert - WIRED P.C.O.S. Has Been Renamed P.M.O.S. Doctors Hope It Will Improve Care for Millions. - The New York Times What to Know About the New Obsession With Testosterone - The New York Times Study finds engaging with the arts can slow biological aging - NPRBBC News
Starmer to meet Streeting as leadership crisis divides Labour Starmer prepares for King's Speech as he faces leadership crisis The potential challengers to Keir Starmer Watch: Resignations, drama and defiance at Downing Street All the Labour MPs who have come out against Starmer, and the ones who want him to stay Read all the ministers' resignation letters in full A decade on, Trump returns to a stronger and more assertive China Ten more people to be flown to UK for hantavirus monitoring Daily pill to help keep weight off after stopping obesity jabs Israel qualifies but Boy George is out of Eurovision 'Huge moment' for Catherine as she makes first overseas trip since cancer Jason Collins, NBA's first openly gay player, dies aged 47 UK promises jets, drones and warship for Strait of Hormuz defence mission Air India crisis deepens ahead of final Ahmedabad crash report Why a slice of Edinburgh is being bought up by overseas owners The Papers: 'Starmer and Streeting set for showdown' and 'Crisis? What crisis?' Russia's shadow fleet ships defying PM's threat and entering UK waters 'Superhuman' managers shouldn't have to ask for help - Family of ex-Liverpool boss on loss Plaid Cymru's Rhun ap Iorwerth to unveil ministers for new Welsh government Trump's 'Golden Dome' to cost $1.2 tn, watchdog estimates Man shot dead by police after overnight stand-off in Bedford Andy Murray to coach British tennis number two Jack Draper TV chef questioned on suspicion of sexual assault Hamas 'weaponised' sexual violence in 7 October attacks, Israeli investigation says Elon Musk said control of OpenAI should go to his children, Sam Altman tells jury BBC News app Starmer Says He’s Staying Trump takes his revenge on disloyal Republicans Refs' chief Webb confirms grappling consultation after disallowed West Ham goal Troublesome toe forces McIlroy to halt US PGA practice VAR is a flip of a coin, says Guardiola Mourinho in final negotiations to become Real manager NBA player Clarke dies aged 29 McInnes and O'Neill keeping cool as Premiership title race catches fireFinancial Times (World)
FirstFT: China’s tech giants miss out on AI stock market rally Starmer clings to power after four ministers resign Resignation of US food and drug regulator head adds to health agency vacancies Pentagon’s Iran war bill nears $30bn as Trump renews threats China’s big tech groups miss out on AI stock market frenzy US inflation jumps to 3.8% as Trump’s Iran war sends petrol prices soaring Scottish Mortgage defends $1.25tn SpaceX valuation ahead of IPO Musk made ‘hair-raising’ demands for control of OpenAI, Altman testifies 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 Stellantis and Ford turn to partnerships to tackle Europe woes Blue Owl retail fundraising evaporates amid private credit concerns The Iran war dilemma for central bankers A short history of Labour Party coups UK borrowing costs surge as Starmer leadership crisis rattles bond markets Trump postpones beef tariff cuts over fears of hitting US cattle farmers CME plans to launch futures market for AI computing power Starmer crisis as it happened: UK premier appoints four new ministers after resignations Ukraine nears deal with Pentagon to test drones in US Higher US CPI inflation adds pressure on Fed Starmer’s premiership in charts Inflation and interest rates tracker: see how your country compares Russia cuts growth forecast as Putin’s war economy runs out of momentum How the Supreme Court undermined one of Trump’s superpowersFinancial Times (UK)
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 coups UK borrowing costs surge as Starmer leadership crisis rattles bond markets Starmer crisis as it happened: UK premier appoints four new ministers after resignations Starmer’s premiership in charts Inflation and interest rates tracker: see how your country compares ‘How long can the gilt market act as the UK’s political police?’ Polanski admits ‘mistake’ over houseboat council tax What is the future of UK politics? Submit your questions How do Labour leadership challenges work? Bank of Japan minutes suggest next move to come in June Labour’s turmoil is now uncontrollable Starmer’s leadership enters final fractious phase Starmer ‘weighing’ if premiership can be saved ahead of crucial cabinet meeting Two ex-Carillion finance directors fined by accountancy regulator EU to tighten carbon credit rules in overhaul of emissions system The UK strategy for the City needs more ambition as market share slips Five London areas together paid more inheritance tax than Scotland and Wales UK leadership crisis as it happened: 3 cabinet ministers urge Starmer to consider his position UK to take full ownership of British Steel Starmer vows to put Britain at ‘heart of Europe’ Ask Political Fix: Starmer’s fightback, election turmoil and defenceThe New York Times
Musk Lawyer’s Question for Sam Altman on the Stand: Are You Trustworthy? Anthropic in Talks to Raise Funding at a $950 Billion Valuation A.I. and Humans Battle It Out in a Cybersecurity Showdown Is Anthropic’s Claude Mythos Really a Cybersecurity Risk? Sam Altman has been targeted in a backlash against A.I. This is Sam Altman’s first time testifying in court. Here’s the latest. EBay Rejects GameStop’s $55 Billion Takeover Bid 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 Search Anthropic’s C.E.O. Says It Could Grow by 80 Times This Year Elon Musk’s Confidante Shivon Zilis Is Cast as His Inside Source at OpenAI Meditating or Rebooting? A Robot Buddhist Monk Comes to South Korea. American Factories Lag in Adopting A.I. This Drugmaker Is an Exception.The Guardian
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 Body of missing US soldier recovered off coast of Morocco ‘Watching us is like watching a cousin’: the online creators reshaping Africa’s news ecosphere The Bahamas goes to polls in three-way battle with immigration a key issue Drug gang attacks ‘force hundreds of Indigenous families to flee’ in Mexico Six people found dead inside train car at rail yard near Texas-Mexico border Chicago teen who pushed for parents’ release from ICE custody dies of cancer Sharp drop in ‘forever chemicals’ in seabird eggs hailed as win for regulation Chaos in Philippines as Duterte ally wanted by ICC takes refuge in senate to avoid arrest Iran war oil shortage forces Japan snack giant to use black-and-white packaging The big questions hanging over the Trump-Xi meeting in China Philippine presidential hopeful Sara Duterte impeached for second time Tehran, Taiwan, trade … what are the hazards facing Trump on Xi summit tightrope? Budget 2026 live updates: Coalition claims budget will ‘kneecap’ younger Australians; plans for Trump tower on Gold Coast scrapped Capital gains tax and negative gearing benefit the 1% and this chart shows it Don’t reach for the bug spray: scientists find insects may feel pain after crickets nurse sore antenna Budget earmarks more than $600m for Bondi attack response, with half going to Australia’s Jewish community Rugby league, bird flu and drones: things you may have missed in the 2026 budget WHO head tells countries to prepare for more hantavirus cases Auschwitz survivor who returned to live in Germany dies aged 101 Bosnia and Herzegovina left vulnerable by policy clash with US, representative says Three-day ceasefire ends with fresh wave of Russian attacks on Ukraine – as it happened French film industry at risk from the far right, say actors and directors Cost of US war on Iran mounting – as it happened UAE’s secret attack on Iran risks drawing Gulf states into the war Head of Microsoft’s Israel branch to step down after inquiry into dealings with Israeli military Israeli MPs back special tribunal with death penalty powers for alleged 7 October attackers More than 110 Nobel laureates call on Iran to release gravely ill activist Narges Mohammadi 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 Labour must fulfil promise to introduce clean air act, charities urge Older people risk mental decline if they do long hours of caring, UK study shows Three-quarters of UK millionaires would be happy to pay more tax, research finds Capacity of lifts not kept up with UK obesity levels, study shows Starmer hopes to regain momentum with unveiling of dozens of bills in king’s speech ‘I’m afraid if she gets out’: US author’s sons say they want mother to stay in jail Kash Patel lobs false claims about top Democrat as they spar over allegations of FBI chief’s excessive drinking on the job – live Louisiana police to pay $4.85m to daughter of Black motorist who died at officers’ hands in 2019 Kash Patel denies excessive drinking allegations as ‘total farce’ in Senate hearing Death of man struck by Frontier Airlines plane ruled suicide by medical examinerHacker News
My graduation cap runs Rust Kraftwerk's radical 1976 track Tell NYT, Atlantic, USA Today to Keep Wayback Machine Restore full BambuNetwork support for Bambu Lab printers EFF to 4th Circuit: Electronic Device Searches at the Border Require a Warrant How to make your text look futuristic (2016) Beyond Semantic Similarity Snowflake Postgres, Lakebase, HorizonDB: Picking the Lock-In You Want CERT is releasing six CVEs for serious security vulnerabilities in dnsmasq Show HN: Needle: We Distilled Gemini Tool Calling into a 26M Model Quack: The DuckDB Client-Server Protocol Dead.Letter (CVE-2026-45185) – How XBOW found an unauthenticated RCE on Exim Reimagining the mouse pointer for the AI era Googlebook Canada’s Bill C-22 Is a Repackaged Version of Last Year’s Surveillance Nightmare Show HN: Agentic interface for mainframes and COBOL Show HN: Gigacatalyst – Extend your SaaS with an embedded AI builder The Future of Obsidian Plugins Launch HN: Voker (YC S24) – Analytics for AI Agents Why senior developers fail to communicate their expertiseArxiv astro-ph.HE
An Inverse-Compton-Boosted Cool Core Unifies Perseus's Radio and X-ray Halos Discovery of 30 Repeating Fast Radio Burst Sources and Uniform Population Statistics of 80 Repeating Sources from CHIME/FRB Non-Parametric Equation of State Reveals Non-Conformal Behavior Beyond Neutron Star Densities Chasing the neutrino blazar candidates II: SED modeling with hadronic model Characterizing the Scale Height and Filamentary Structure of Radiatively Cooled MADs High-Spin BBH Subpopulation from AGN Accretion A low viscosity relatively thick twisted disk in a supermassive binary black hole as a potential model of OJ 287 Bayesian Analysis of Massive Boson Star Models for Sagittarius A* Using Near-Infrared Astrometry Data X-ray luminous late-type giants: an overlooked population contributing to the Galactic ridge iron line emission Optical Appearance of the Kerr-Bertotti-Robinson Black Hole with a Magnetically Driven Synchrotron Emissivity Model A NICER and AstroSat view of the neutron star low-mass X-ray binary 1A 1246-588 Cooling of Isolated Neutron Stars with Hyperon-mixed Kaon-Condensation Matter Hydrodynamical simulation of wind production from hot accretion flows in tidal disruption events Cyclotron Line Variability and Accretion Dynamics in Vela X-1 Astrophysical signatures of Kerr-Bertotti-Robinson black holes in a cloud of strings: ISCO, microquasar QPOs, and Bondi-Hoyle-Lyttleton accretion Wolf-Rayet stars as tracers of gamma-ray emission: Isolated stars and stellar clusters/associations Energy-resolved pulse profiles of Vela X-1: cross-calibrating XMM-Newton and NuSTAR to trace spectral features Dynamic Competition of Fast and Collisional Neutrino Flavor Instabilities with Collisional Damping in Spatially Inhomogeneous Systems Observational Properties of Nonthermal Emission from Relativistic Jets Escaping Active Galactic Nucleus Disks Can magnetic reconnection power neutrino emission from AGN coronae? Astrons: Reissner-Nordstr\"om Primordial Naked Singularities Search for long-term variability of HESS J1745-290 Characterizing Pulsar Distances Using HI Kinematics Electromagnetic Follow-up of the Sub-Solar Mass Gravitational Wave Candidate S251112cm: Kilonova Constraints and a Coincident IIb Supernova Producing the GeV Galactic Center Excess via Cosmic Ray-Dark Matter Scattering Revisiting predictions for cosmic-ray antinucleon fluxes from Galactic Dark Matter The Good, the Bad, and the Subtle: Relativistic mode sums for neutron-star tidal response General Grad-Shafranov Equation Neutron stars in a conservative $f(R,T)$ gravity CosmoDRAGoN III: Shaping the Afterlife -- How Progenitors and Environments Sculpt Radio Galaxy Remnants Design and in-orbit calibration of the MXT optics SAPLE: Swift Analysis Pipeline for Lightcurve Extraction Ultraheavy Ultrahigh-Energy Cosmic Rays Evidence of the pair instability gap from black hole masses Observation of Galactic center in the sub-MeV gamma-ray band with electron-tracking Compton camera Jittering jets promote dust formation in core-collapse supernovae Changing-Look AGN Powered By Disk Tearing Tracing the Trace Anomaly of Dense Matter inside Neutron Stars Constrained Gaussian-process bridge prior for neutron-star equation-of-state inference Revisiting the Reported Period of FRB 20201124A Using MCMC Methods Bifurcated Impact of Neutrino Fast Flavor Conversion on Core-collapse Supernovae Informed by Multi-angle Neutrino Radiation Hydrodynamics The early r-process nucleosynthesis scenarios Rarity of rocket-driven Penrose extraction in Kerr spacetime A Unified Framework for 10 TeV to EeV Diffuse Neutrino Sky and KM3-230213A Primordial Black Hole signatures from femtolensing and spectral fringe of Gamma Ray Bursts Inferring the population properties of galactic binaries from LISA's stochastic foreground Inefficiency of chiral dynamos in protoneutron stars and the early universe Early emission characterization of TDE 2025aarm How do the LIGO-Virgo-KAGRA's Heavy Black Holes Form? No evidence for core-collapse Intermediate-mass black holes in GWTC-4 String Thresholds, Dynamical Gauss--Bonnet Couplings, and Starobinsky Attractors Neutron Star Eclipses as Axion Laboratories GW231123: A Possible Primordial Black Hole Origin Neural Post-Einsteinian Test of General Relativity with the Third Gravitational-Wave Transient Catalog Orbital dynamics and precession in magnetized Kerr spacetime Properties of Stable Massive Quark Stars in Holography Nearly Degenerate Majorana Dark Matter and Its Self-Interactions in a Gauged $U(1)_{L_\mu - L_\tau}$ Model Effects of isovector spin-orbit interaction on the charge-weak form factor difference in $^{48}$Ca, $^{208}$Pb, $^{90}$Zr and $^{62}$Ni Gamma-Ray Bursts as an Independent High-Redshift Probe of Dark Energy Symmetric kiloparsec-scale radio knots in NGC 7213: evidence for a confined weak jet and recurrent nuclear activity Outer-Crust Equations of State for Neutron Stars Hadronic lensing Adaptive ray tracing, image diagnostics, and photon ring signatures of rotating dark-matter-dressed black holesArxiv cs.LG
Reinforcement learning for inverse structural design and rapid laser cutting of kirigami prototypes Path-Based Gradient Boosting for Graph-Level Prediction Distributional Reinforcement Learning via the Cram\'er Distance Geometry-free prediction of inertial lift forces in microfluidic devices using deep learning BaLoRA: Bayesian Low-Rank Adaptation of Large Scale Models TTCD:Transformer Integrated Temporal Causal Discovery from Non-Stationary Time Series Data Do Foundation Model Embeddings Improve Cross-Country Crop Yield Generalisation? A Leave-One-Country-Out Evaluation in Sub-Saharan Africa Statistical Inference and Quality Measures of KV Cache Quantisations Inspired by TurboQuant The Safety-Aware Denoiser for Text Diffusion Models Feature Repulsion and Spectral Lock-in: An Empirical Study of Two-Layer Network Grokking Block-Wise Differentiable Sinkhorn Attention: Tail-Refinement Gradients with a Gap-Aware Dustbin Bridge Towards Universal Gene Regulatory Network Inference: Unlocking Generalizable Regulatory Knowledge in Single-cell Foundation Models Towards Customized Multimodal Role-Play Additive Atomic Forests for Symbolic Function and Antiderivative Discovery Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization DARE: Diffusion Language Model Activation Reuse for Efficient Inference Dendritic Neural Networks with Equilibrium Propagation Weight Pruning Amplifies Bias: A Multi-Method Study of Compressed LLMs for Edge AI DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis Reasoning emerges from constrained inference manifolds in large language models HoReN: Normalized Hopfield Retrieval for Large-Scale Sequential Model Editing NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training Feature Rivalry in Sparse Autoencoder Representations: A Mechanistic Study of Uncertainty-Driven Feature Competition in LLMs A PyTorch Library of Turing-Complete Neural Networks Temporal-Decay Shapley: A Time-Aware Data Valuation Framework for Time-Series Data Quantitative Sobolev Approximation Bounds for Neural Operators with Empirical Validation on Burgers Equation Communication Dynamics Neural Networks: FFT-Diagonalized Layers for Improved Hessian Conditioning at Reduced Parameter Count CERSA: Cumulative Energy-Retaining Subspace Adaptation for Memory-Efficient Fine-Tuning Physics-Modeled Neural Networks Echo-LoRA: Parameter-Efficient Fine-Tuning via Cross-Layer Representation Injection Generalized Category Discovery in Federated Graph Learning Quantile Geometry Regularization for Distributional Reinforcement Learning Synergistic Simplex: Cooperative Runtime Assurance for Safety-Critical Autonomous Systems ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device ReplaySCM: A Benchmark for Executable Causal Mechanism Induction from Interventions FairHealth: An Open-Source Python Library for Trustworthy Healthcare AI in Low-Resource Settings Weakly Supervised Concept Learning for Object-centric Visual Reasoning Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning Learngene Search Across Multiple Datasets for Building Variable-Sized Models LLMs with in-context learning for Algorithmic Theoretical Physics Retrieval Mechanisms Surpass Long-Context Scaling in Time Series Forecasting Deep Dreams Are Made of This: Visualizing Monosemantic Features in Diffusion Models NoisyCoconut: Counterfactual Consensus via Latent Space Reasoning A Simulated Federated Analysis of MS-Induced Brain Lesions Social Determinants of Health and Fentanyl Overdose Mortality Across US Counties: An XGBoost and SHAP Analysis Identifying Silent Risk Counties and Treatment Deserts TRAM: Training Approximate Multiplier Structures for Low-Power AI Accelerators Hierarchical Multi-Fidelity Learning for Predicting Three-Dimensional Flame Wrinkling and Turbulent Burning Velocity When Does Value-Aware KV Eviction Help? A Fixed-Contract Diagnostic for Non-Monotone Cache Compression Distributional Spectral Diagnostics for Localizing Grokking Transitions Path-Coupled Bellman Flows for Distributional Reinforcement Learning HyperTransport: Amortized Conditioning of T2I Generative Models Can LLMs Predict Polymer Physics Just by Reading Synthesis and Processing Prose? Efficient Prompt Learning for Traffic Forecasting Trapping Attacker in Dilemma: Examining Internal Correlations and External Influences of Trigger for Defending GNN Backdoors LaWM: Least Action World Models for Long-Horizon Physical Consistency from Visual Observations Beyond the False Trade-off: Adaptive EWC for Stealthy and Generalizable T2I Backdoors HTPO: Towards Exploration-Exploitation Balanced Policy Optimization via Hierarchical Token-level Objective Control Exactness Matters for Physical Rule Enforcement Diagnosing Spectral Ceilings in Equivariant Neural Force Fields Multi-Armed Bandits With Best-Action Queries UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable Dependencies Toward Optimal Regret in Robust Pricing: Decoupling Corruption and Time Graph Computation Meets Circuit Algebra: A Task-Aligned Analysis of Graph Neural Networks for Electronic Design Automation Hierarchical Mixture-of-Experts with Two-Stage Optimization In-Context Fixation: When Demonstrated Labels Override Semantics in Few-Shot Classification A Qualitative Test-Risk Mechanism for Scaling Behavior in Normalized Residual Networks What Cohort INRs Encode and Where to Freeze Them mHC-SSM: Manifold-Constrained Hyper-Connections for State Space Language Models with Stream-Specialized Adapters Priming: Hybrid State Space Models From Pre-trained Transformers SGC-RML: A reliable and interpretable longitudinal assessment for PD in real-world DNS GNN for Structural Displacement Prediction LLMSYS-HPOBench: Hyperparameter Optimization Benchmark Suite for Real-World LLM Systems Practical Wi-Fi-based Motion Recognition Under Variable Traffic Patterns Revitalizing the Beginning: Avoiding Storage Dependency for Model Merging in Continual Learning FlashSVD v1.5: Making Low-Rank Transformers Inference Actually Fast Reflective Prompted Policy Optimization: Trajectory-Grounded Revision and Salience Bias RDKV: Rate-Distortion Bit Allocation for Joint Eviction and Quantization of the KV Cache When Attention Beats Fourier: Multi-Scale Transformers for PDE Solving on Irregular Domains LLM Wardens: Mitigating Adversarial Persuasion with Third-Party Conversational Oversight SDG-MoE: Signed Debate Graph Mixture-of-Experts The Reciprocity Gradient LLM Advertisement based on Neuron Auctions Interactive Critique-Revision Training for Reliable Structured LLM Generation P-Flow: Proxy-gradient Flows for Linear Inverse Problems CDS4RAG: Cyclic Dual-Sequential Hyperparameter Optimization for RAG Private Vertical Federated Inference for Time-Series What Time Is It? How Data Geometry Makes Time Conditioning Optional for Flow Matching Convergence Analysis of Newton's Method for Neural Networks in the Overparameterized Limit SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution Embedding Dimension Lower Bounds for Universality of Deep Sets and Janossy Pooling Reinforcement Learning for Scalable and Trustworthy Intelligent Systems The Power of Second Order Methods for Sequence Preconditioning SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning Geometry-Aware Discretization Error of Diffusion Models Exploring and Exploiting Stability in Latent Flow Matching AdamFLIP: Adaptive Momentum Feedback Linearization Optimization for Hard Constrained PINN Training Central Limit Theorem for Two-Time-Scale Approximate Distributionally Robust RL Queryable LoRA: Instruction-Regularized Routing Over Shared Low-Rank Update Atoms Generalized Wasserstein Flow Matching: Transport Plans, Everywhere, All at Once A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds TARO: Temporal Adversarial Rectification Optimization Using Diffusion Models as Purifiers DUET: Optimize Token-Budget Allocation for Reinforcement Learning with Verifiable Rewards Direct Bethe Free Energy Minimization for Bayesian Neural Ne twork Zero-shot Imitation Learning by Latent Topology Mapping RubiConv -- Efficient Boundary-Respecting Convolutions Sink vs. diagonal patterns as mechanisms for attention switch and oversmoothing prevention Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency CUDABeaver: Benchmarking LLM-Based Automated CUDA Debugging Neurally-plausible radial basis kernels using distributed Fourier embeddings The Geometric Structure of Models Learning Sparse Data CUDAHercules: Benchmarking Hardware-Aware Expert-level CUDA Optimization for LLMs Transformers Can Implement Preconditioned Richardson Iteration for In-Context Gaussian Kernel Regression When Independent Sampling Outperforms Agentic Reasoning ShifaMind: A Multiplicative Concept Bottleneck for Interpretable ICD-10 Coding NeuralBench: A Unifying Framework to Benchmark NeuroAI Models MathConstraint: Automated Generation of Verified Combinatorial Reasoning Instances for LLMs Scaling Limits of Long-Context Transformers Learning Polyhedral Conformal Sets for Robust Optimization MoMo: Conditioned Contrastive Representation Learning for Preference-Modulated Planning Quantile-Coupled Flow Matching for Distributional Reinforcement Learning A Deep Risk Estimator for Known Operator Learning SeBA: Semi-supervised few-shot learning via Separated-at-Birth Alignment for tabular data FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration Skill-CMIB: Multimodal Agent Skill for Consistent Action via Conditional Multimodal Information Bottleneck The Propagation Field: A Geometric Substrate Theory of Deep Learning Continuity Laws for Sequential Models Tokens-per-Parameter Coverage Is Critical for Robust LLM Scaling Law Extrapolation A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots Can Revealed Preferences Clarify LLM Alignment and Steering? Beyond Static Bias: Adaptive Multi-Fidelity Bandits with Improving Proxies Finer is Better (with the Right Scaling) Different Prompts, Different Ranks: Prompt-aware Dynamic Rank Selection for SVD-based LLM Compression Uncovering Intra-expert Activation Sparsity for Efficient Mixture-of-Expert Model Execution Probing the Impact of Scale on Data-Efficient, Generalist Transformer World Models for Atari PRISM: Fast Online LLM Serving via Scheduling-Memory Co-design Kaczmarz Linear Attention Lattice Deduction Transformers Robust Server Defense Against Unreliable Clients in One-Shot Fair Collaborative Machine Learning Reasoning-Aware Training for Time Series Forecasting ReLibra: Routing-Replay-Guided Load Balancing for MoE Training in Reinforcement Learning PAAC: Privacy-Aware Agentic Device-Cloud Collaboration FLUX: Geometry-Aware Longitudinal Flow Matching with Mixture of Experts Fitting Multilinear Polynomials for Logic Gate Networks Sketch-and-Verify: Structured Inference-Time Scaling via Program Sketching Optimised Support Vector Regression for California Housing Price Prediction: The Critical Role of Feature Engineering and Hyperparameter Tuning The Cancellation Hypothesis in Critic-Free RL: From Outcome Rewards to Token Credits PHIDA: Persistence-Guided Node-to-Cluster Mapping for Online Clustering MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI Event Fields: Learning Latent Event Structure for Waveform Foundation Models Structure-Centric Graph Foundation Model via Geometric Bases AAAC: Activation-Aware Adaptive Codebooks for 4-bit LLM Weight Quantization METBRA25Y: Brazil Surface Meteorology Archive with Harmonized Variables and Quality Control Classification-Head Bias in Class-Level Machine Unlearning: Diagnosis, Mitigation, and Evaluation Generative Actor-Critic with Soft Bridge Policies AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation The Extrapolation Cliff in On-Policy Distillation of Near-Deterministic Structured Outputs SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training Causal Dimensionality of Transformer Representations: Measurement, Scaling, and Layer Structure The Global Empirical NTK: Self-Referential Bias and Dimensionality of Gradient Descent Learning The Wristband Gaussian Loss: Deterministic, Composable Latents via a Sphere-Interval Decomposition Communicating Sound Through Natural Language LAQuant: A Simple Overhead-free Large Reasoning Model Quantization by Layer-wise Lookahead Loss MDL-GBG: A Non-parametric and Interpretable Granular-Ball Generation Method for Clustering FedGMI: Generative Model-Driven Federated Learning for Probabilistic Mixture Inference Anchoring the Eigengap: Cross-Modal Spectral Stabilization for Sample-Efficient Representation Learning Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning PRIM: Meta-Learned Bayesian Root Cause Analysis Deterministic Decomposition of Stochastic Generative Dynamics Data-driven transport modelling without overfit Compressed Video Aggregator: Content-driven Module for Efficient Micro-Video Recommendation AgentSlimming: Towards Efficient and Cost-Aware Multi-Agent Systems MicroFuse: Protein-to-Genome Expert Fusion for Microbial Operon Reasoning Inpainting physics: self-supervised learning for context-driven fluid simulation Controlling Transient Amplification Improves Long-horizon Rollouts RareCP: Regime-Aware Retrieval for Efficient Conformal Prediction BubbleSpec: Turning Long-Tail Bubbles into Speculative Rollout Drafts for Synchronous Reinforcement Learning Higher-Order Equilibrium Tracking for EM-Compressible Online Estimation TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection CoDistill-GRPO: A Co-Distillation Recipe for Efficient Group Relative Policy Optimization OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents Discrete Flow Matching: Convergence Guarantees Under Minimal Assumptions Compact SO(3) Equivariant Atomistic Foundation Models via Structural Pruning Machine Learning Research Has Outpaced Its Communication Norms and NeurIPS Should Act Bilinear autoencoders find interpretable manifolds Shapley Regression for Rare Disease Diagnosis Support: a case study on APDS Non-Monotonic Latency in Apple MPS Decoding: KV Cache Interactions and Execution Regimes Transformer autoencoder with local attention for sparse and irregular time series with application on risk estimation Physics-Informed Neural PDE Solvers via Spatio-Temporal MeanFlow When and Why Grouping Attention Heads Accelerates Muon Optimization From Mechanistic to Compositional Interpretability A Single Deep Preference-Conditioned Policy for Learning Pareto Coverage Sets Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning MolWorld: Molecule World Models for Actionable Molecular Optimization Outlier detection for patient monitoring and alerting Learning predictive models for combinations of heterogeneous proteomic data sources Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents VORT: Adaptive Power-Law Memory for NLP Transformers Muon Does Not Converge on Convex Lipschitz Functions PMCTS: Particle Monte Carlo Tree Search for Principled Parallelized Inference Time Scaling Benchmarking Compositional Generalisation for Machine Learning Interatomic Potentials When More Parameters Hurt: Foundation Model Priors Amplify Worst-Client Disparity Under Extreme Federated Heterogeneity Machine Learning-Based Graph Simplification for Symbolic Accelerators Non-Parametric Rehearsal Learning via Conditional Mean Embeddings Relative Kinetic Utility for Reasoning-Aware Structural Pruning in Large Language Models Large Language Models for Sequential Decision-Making: Improving In-Context Learning via Supervised Fine-Tuning A Geometric Perspective on Next-Token Prediction in Large Language Models: Three Emerging Phases Diagnosing and Mitigating Domain Shift in Permission-Based Android Malware Detection Spherical Boltzmann machines: a solvable theory of learning and generation in energy-based models Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration PACT: Peak-Aware Cross-Attention Graph Transformers for Efficient Storm-Surge Emulation Predicting Plasticity in Deep Continual Learning: A Theoretical Perspective FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization Bridging Spectral Operator Learning and U-Net Hierarchies: SpectraNet for Stable Autoregressive PDE Surrogates Contextual Plackett-Luce: An Efficient Neural Model for Probabilistic Sequence Selection under Ambiguity Personalized Alignment Revisited: The Necessity and Sufficiency of User Diversity A Communication-Theoretic Framework for LLM Agents: Cost-Aware Adaptive Reliability Cosine-Gated Adam-Decay: Drop-In Staleness-Aware Outer Optimization for Decoupled DiLoCo Evaluating Federated Learning approaches for mammography under breast density heterogeneity FedVSSAM: Mitigating Flatness Incompatibility in Sharpness-Aware Federated Learning AlphaExploitem: Going Beyond the Nash Equilibrium in Poker by Learning to Exploit Suboptimal Play Predicting Large Model Test Losses with a Noisy Quadratic System Revisiting Mixture Policies in Entropy-Regularized Actor-Critic Objective-Specific Privileged Bases via Full-Prefix Matryoshka Learning Sparse Layers are Critical to Scaling Looped Language Models Prediction Bottlenecks Don't Discover Causal Structure (But Here's What They Actually Do) WavesFM: Hierarchical Representation Learning for Longitudinal Wearable Sensor Waveforms Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift DARE: Difficulty-Adaptive Reinforcement Learning with Co-Evolved Difficulty Estimation Practical Scaling Laws: Converting Compute into Performance in a Data-Constrained World On Characterizing Learnability for Adversarial Noisy Bandits LBI: Parallel Scan Backpropagation via Latent Bounded Interfaces TSNN: A Non-parametric and Interpretable Framework for Traffic Time Series Forecasting Rethinking Ratio-Based Trust Regions for Policy Optimization in Multi-Agent Reinforcement Learning Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability The Pok\'emon Theorem and other Fairness Impossibility Results SMIXAE: Towards Unsupervised Manifold Discovery in Language Models ProactBench: Beyond What The User Asked For On Variance Reduction in Learning Mean Flows Intrinsic Muon: Spectral Optimization on Riemannian Matrix Manifolds Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Improving Generalization by Permutation Routing Across Model Copies Memorize Theorems, Not Instances: Probing SFT Generalization through Mathematical Reasoning Instance-Adaptive Online Multicalibration DiffATS: Diffusion in Aligned Tensor Space Uncertainty-Aware Token Importance Estimation in Spiking Transformers First Worst-Case Regret Bounds for Combinatorial Thompson Sampling in Sleeping Semi-Bandits TileQ: Efficient Low-Rank Quantization of Mixture-of-Experts with 2D Tiling Semi-Supervised Neural Super-Resolution for Mesh-Based Simulations MC$^2$: Monte Carlo Correction for Fast Elliptic PDE Solving From Regression to Inference: Meta-Learning Predictors for Neural Architecture Search dFlowGRPO: Rate-Aware Policy Optimization for Discrete Flow Models Towards Effective Theory of LLMs: A Representation Learning Approach Neural Cluster First, Route Second: One-Shot Capacitated Vehicle Routing via Differentiable Optimal Transport Discrete Langevin-Inspired Posterior Sampling Path-Dependent Denoising: A Non-Conservative Field Perspective on Order Collapse in Diffusion Language Models Hierarchical Attention-based Graph Neural Network with Relevance-driven Pruning Teaching Molecular Dynamics to a Non-Autoregressive Ionic Transport Predictor The Trap of Trajectory: Towards Understanding and Mitigating Spurious Correlations in Agentic Memory Dimension-Free Saddle-Point Escape in Muon Functional Graphs for Predicting and Explaining Goal Failure in Sparse Goal-Conditioned RL Adversary-Robust Learning from Fully Asynchronous Directional Derivative Estimates Selection Plateau and a Sparsity-Dependent Hierarchy of Pruning Features FLAME: Adaptive Mixture-of-Experts for Continual Multimodal Multi-Task Learning Function-Space ADMM for Decentralized Federated Learning: A Control Theoretic Perspective Skill-R1: Agent Skill Evolution via Reinforcement Learning Your Simulation Runs but Solves the Wrong Physics: PDE-Grounded Intent Verification for LLM-Generated Multiphysics Simulation Code Near-Optimal Last-Iterate Convergence for Zero-Sum Games with Bandit Feedback and Opponent Actions Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning Learning-Augmented Scalable Linear Assignment Problem Optimization via Neural Dual Warm-Starts D2ACE: Multi-Label Batch Selection Guided by Dual Dynamics and Adaptive Correlation Enhancement Sparsity Moves Computation: How FFN Architecture Reshapes Attention in Small Transformers Let the Target Select for Itself: Data Selection via Target-Aligned Paths GravityGraphSAGE: Link Prediction in Directed Attributed Graphs A Controlled Diagnostic Study of Hardware-Induced Distortions in Hardware-Aware Training Tabular Foundation Model for Generative Modelling FedCIGAR: A Personalized Reconstruction Approach for Federated Graph-level Anomaly Detection fmxcoders: Factorized Masked Crosscoders for Cross-Layer Feature Discovery Inverse Design for Conditional Distribution Matching Learning to Bid with Unknown Private Values in Budget-Constrained First-Price Auctions RAwR: Role-Aware Rewiring via Approximate Equitable Partition Positional LSH: Binary Block Matrix Approximation for Attention with Linear Biases SEMASIA: A Large-Scale Dataset of Semantically Structured Latent Representations CTQWformer: A CTQW-based Transformer for Graph Classification Kintsugi: Learning Policies by Repairing Executable Knowledge Bases Spectral Transformer Neural Processes Doubly Robust Proxy Causal Learning with Neural Mean Embeddings Mixture of Layers with Hybrid Attention LLM-Driven Performance-Space Augmentation for Meta-Learning-Based Algorithm Selection HS-FNO: History-Space Fourier Neural Operator for Non-Markovian Partial Differential Equations When Adaptation Fails: A Gradient-Based Diagnosis of Collapsed Gating in Vision-Language Prompt Learning Online Set Learning from Precision and Recall Feedback End-to-End Keyword Spotting on FPGA Using Graph Neural Networks with a Neuromorphic Auditory Sensor Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model Geometry Conflict: Explaining and Controlling Forgetting in LLM Continual Post-Training Minimal Filling Architectures of Polynomial Neural Networks: Counterexamples, Frontier Search, and Defects Plan2Cleanse: Test-Time Backdoor Defense via Monte-Carlo Planning in Deep Reinforcement Learning Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction Causal Parametric Drift Simulation: A Digital Twin Framework for Classifier Robustness Evaluation Learning Multi-Indicator Weights for Data Selection: A Joint Task-Model Adaptation Framework with Efficient Proxies ChaosNetBench: Benchmarking Spatio-Temporal Graph Neural Networks on Chaotic Lattice Dynamics Learning Unified Representations of Normalcy for Time Series Anomaly Detection Quantum Circuit Simulation of Compartmental Drug Dynamics: Leveraging Variational Algorithms for Nonlinear Mixed-Effects Population Pharmacokinetics Discovery of Nonlinear Dynamics with Automated Basis Function Generation Adaptive Data Harvesting for Efficient Neural Network Learning with Universal Constraints Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon Benchmarking Transformer and xLSTM for Time-Series Forecasting of Heat Consumption Model Capacity Determines Grokking through Competing Memorisation and Generalisation Speeds One for All: A Non-Linear Transformer can Enable Cross-Domain Generalization for In-Context Reinforcement Learning RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement CALYREX: Cross-Attention LaYeR EXtended Transformers for System Prompt Anchoring TIDES: Implicit Time-Awareness in Selective State Space Models Entropy-informed Decoding: Adaptive Information-Driven Branching Sequential Feature Selection for Efficient Landslide Segmentation from Multi-Spectral Data On Uniform Error Bounds for Kernel Regression under Non-Gaussian Noise WISTERIA: Learning Clinical Representations from Noisy Supervision via Multi-View Consistency in Electronic Health Records Bayesian Optimization with Structured Measurements: A Vector-Valued RKHS Framework Nectar: Neural Estimation of Cached-Token Attention via Regression LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models Learning to Compress Time-to-Control: A Reinforcement Learning Framework for Chronic Disease Management Dystruct: Dynamically Structured Diffusion Language Model Decoding via Bayesian Inference Pretraining large language models with MXFP4 Modeling Atomic Conformational Ensembles of Proteins via Test-Time Supervision of Boltz-2 on Cryo-EM Density Maps Free Energy Manifold: Score-Based Inference for Hybrid Bayesian Networks Sub-Footprint Effect Correction in FW-LiDAR Point Clouds via Intra-Footprint Target Unmixing Efficient Neural Architectures for Real-Time ECG Interpretation on Limited Hardware Exploration-Driven Optimization for Test-Time Large Language Model Reasoning Concordia: Self-Improving Synthetic Tables for Federated LLMs Flag Varieties: A Geometric Framework for Deep Network Alignment UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning Continuous Latent Contexts Enable Efficient Online Learning in Transformers Intervention-Based Time Series Causal Discovery via Simulator-Generated Interventional Distributions Key-Value Means The Geometric Wall: Manifold Structure Predicts Layerwise Sparse Autoencoder Scaling Laws Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Voice Biomarkers for Depression and Anxiety NaiAD: Initiate Data-Driven Research for LLM Advertising Verifier-Free RL for LLMs via Intrinsic Gradient-Norm Reward TeleResilienceBench: Quantifying Resilience for LLM Reasoning in Telecommunications Selection of the Best Policy under Fairness Constraints for Subpopulations From Syntax to Semantics: Unveiling the Emergence of Chirality in SMILES Translation Models Novel GPU Boruta algorithms for feature selection from high-dimensional data Generating synthetic electronic health record data using agent-based models to evaluate machine learning robustness under mass casualty incidents G-Zero: Self-Play for Open-Ended Generation from Zero Data Tensor Product Representation Probes Reveal Shared Structure Across Linear Directions Consolidation-Expansion Operator Mechanics:A Unified Framework for Adaptive Learning The Truth Lies Somewhere in the Middle (of the Generated Tokens) Chebyshev Center-Based Direction Selection for Multi-Objective Optimization and Training PINNs Attention Drift: What Autoregressive Speculative Decoding Models Learn Learning Graph Foundation Models on Riemannian Graph-of-Graphs Continual Harness: Online Adaptation for Self-Improving Foundation Agents Anchor-guided Hypergraph Condensation with Dual-level Discrimination The Value of Mechanistic Priors in Sequential Decision Making The two clocks and the innovation window: When and how generative models learn rules TrajDLM: Topology-Aware Block Diffusion Language Model for Trajectory Generation Adaptive Action Chunking via Multi-Chunk Q Value Estimation Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View Metis: Learning to Jailbreak LLMs via Self-Evolving Metacognitive Policy Optimization Unlocking air traffic flow prediction through microscopic aircraft-state modeling TopoU-Net: a U-Net architecture for topological domains CFSPMNet: Cross-subject Fourier-guided Spatial-Patch Mamba Network for EEG Motor Imagery Decoding in Stroke Patients Generating Symmetric Materials using Latent Flow Matching Scaling the Memory of Balanced Adam Explainability of Recurrent Neural Networks for Enhancing P300-based Brain-Computer Interfaces Complex-Valued Phase-Coherent Transformer Per-Loss Adapters for Gradient Conflict in Physics-Informed Neural Networks Learning to Sparsify Stochastic Linear Bandits Stable Long-Horizon PDE Forecasting via Latent Structured Spectral Propagators Unsupervised Process Reward Models jNO: A JAX Library for Neural Operator and Foundation Model Training OUIDecay: Adaptive Layer-wise Weight Decay for CNNs Using Online Activation Patterns Hyperparameter Transfer for Dense Associative Memories Balancing Efficiency and Fairness in Traffic Light Control through Deep Reinforcement Learning One-Step Graph-Structured Neural Flows for Irregular Multivariate Time Series Classification Fix the Loss, Not the Radius: Rethinking the Adversarial Perturbation of Sharpness-Aware Minimization ProteinOPD: Towards Effective and Efficient Preference Alignment for Protein Design Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration Many Needles in a Haystack: Active Hit Discovery for Perturbation Experiments Empty SPACE: Cross-Attention Sparsity for Concept Erasure in Diffusion Models Task-Aware Calibration: Provably Optimal Decoding in LLMs Unveiling High-Probability Generalization in Decentralized SGD FORGE: Fragment-Oriented Ranking and Generation for Context-Aware Molecular Optimization When Does Non-Uniform Replay Matter in Reinforcement Learning? The Benefits of Temporal Correlations: SGD Learns k-Juntas from Random Walks Efficiently When Normality Shifts: Risk-Aware Test-Time Adaptation for Unsupervised Tabular Anomaly Detection Teaching LLMs to See Graphs: Unifying Text and Structural Reasoning DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models Generalization Error Bounds for Picard-Type Operator Learning in Nonlinear Parabolic PDEs Predictive Radiomics for Evaluation of Cancer Immune SignaturE in Glioblastoma: the PRECISE-GBM study DeepLog: A Software Framework for Modular Neurosymbolic AI BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift LeapTS: Rethinking Time Series Forecasting as Adaptive Multi-Horizon Scheduling Robust Probabilistic Shielding for Safe Offline Reinforcement Learning Set Prediction for Next-Day Active Fire Forecasting Nearly-Optimal Algorithm for Adversarial Kernelized Bandits Follow the Mean: Reference-Guided Flow Matching Signature Approach for Contextual Bandits with Nonlinear and Path-dependent Rewards Active Tabular Augmentation via Policy-Guided Diffusion Inpainting Relations Are Channels: Knowledge Graph Embedding via Kraus Decompositions PowerStep: Memory-Efficient Adaptive Optimization via $\ell_p$-Norm Steepest Descent Foundations of Reliable Inference: Reliability-Efficiency Co-Design DeepL\'evy: Learning Heavy-Tailed Uncertainty in Highly Volatile Time Series PC3D: Zero-Shot Cooperation Across Variable Rosters via Personalized Context Distillation The Polynomial Counting Capabilities of Message Passing Neural Networks Causal Explanations from the Geometric Properties of ReLU Neural Networks Valid Best-Model Identification for LLM Evaluation via Low-Rank Factorization Identified-Set Geometry of Distributional Model Extraction under Top-$K$ Censored API Access Equilibrium Residuals Expose Three Regimes of Matrix-Game Strategic Reasoning in Language Models Remember to Forget: Gated Adaptive Positional Encoding Real vs. Semi-Simulated: Rethinking Evaluation for Treatment Effect Estimation Beyond Spatial Compression: Interface-Centric Generative States for Open-World 3D Structure Don't Fix the Basis -- Learn It: Spectral Representation with Adaptive Basis Learning for PDEs SlimSpec: Low-Rank Draft LM-Head for Accelerated Speculative Decoding AxiomOcean: Forecasting the Three-Dimensional Structure of the Upper Ocean QT-Net: Rethinking Evaluation of AI Models in Atomic Chemical Space Self-Attention as a Covariance Readout: A Unified View of In-Context Learning and Repetition Can Muon Fine-tune Adam-Pretrained Models? Formally Verifying Analog Neural Networks Under Process Variations Using Polynomial Zonotopes CMKL: Modality-Aware Continual Learning for Evolving Biomedical Knowledge Graphs ConfoundingSHAP: Quantifying confounding strength in causal inference HH-SAE: Discovering and Steering Hierarchical Knowledge of Complex Manifolds Higher Resolution, Better Generalization: Unlocking Visual Scaling in Deep Reinforcement Learning PhysEDA: Physics-Aware Learning Framework for Efficient EDA With Manhattan Distance Decay It's All Connected: Topology-Aware Structural Graph Encoding Improves Performance on Polymer Prediction Online Sharp-Calibrated Bayesian Optimization Controllability in preference-conditioned multi-objective reinforcement learning Fairness vs Performance: Characterizing the Pareto Frontier of Algorithmic Decision Systems MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image Hierarchical End-to-End Taylor Bounds for Complete Neural Network Verification Composing diffusion priors with explicit physical context via generative Gibbs sampling A Random-Matrix Criterion for Initializing Gated Recurrent Neural Networks A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables Active Learning for Gaussian Process Regression Under Self-Induced Boltzmann Weights BCJR-QAT: A Differentiable Relaxation of Trellis-Coded Weight Quantization Why Zeroth-Order Adaptation May Forget Less: A Randomized Shaping Theory A Spectral Framework for Closed-Form Relative Density Estimation Natural Policy Gradient as Doubly Smoothed Policy Iteration: A Bellman-Operator Framework Compander-Aligned Query Geometry for Quantized Zeroth-Order Optimization Step Rejection Fine-Tuning: A Practical Distillation Recipe Exact Unlearning from Proxies Induces Closeness Guarantees on Approximate Unlearning Is Data Shapley Not Better than Random in Data Selection? Ask NASH The finite expression method for turbulent dynamics with high-order moment recovery DANCE: Detect and Classify Events in EEG RelFlexformer: Efficient Attention 3D-Transformers for Integrable Relative Positional Encodings What should post-training optimize? A test-time scaling law perspective Heteroscedastic Diffusion for Multi-Agent Trajectory Modeling On Improving Graph Neural Networks for QSAR by Pre-training on Extended-Connectivity Fingerprints Kernel-Gradient Drifting Models XQCfD: Accelerating Fast Actor-Critic Algorithms with Prior Data and Prior Policies AdaPaD: Adaptive Parallel Deflation for PEFT with Self-Correcting Rank Discovery Provable Sparse Inversion and Token Relabel Enhanced One-shot Federated Learning with ViTs Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures Locking Pretrained Weights via Deep Low-Rank Residual Distillation Rebellious Student: Reversing Teacher Signals for Reasoning Exploration with Self-Distilled RLVR MASS-DPO: Multi-negative Active Sample Selection for Direct Policy Optimization Elucidating Representation Degradation Problem in Diffusion Model Training ConQuR: Corner Aligned Activation Quantization via Optimized Rotations for LLMs Muown: Row-Norm Control for Muon Optimization The Last Word Often Wins: A Format Confound in Chain-of-Thought Corruption Studies Mistake-Bounded Language Generation Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities Policy Gradient Methods for Non-Markovian Reinforcement Learning On periodic distributed representations using Fourier embeddings Benchmarking Sensor-Fault Robustness in Forecasting NoRIN: Backbone-Adaptive Reversible Normalization for Time-Series Forecasting SLIM: Sparse Latent Steering for Interpretable and Property-Directed LLM-Based Molecular Editing Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories Conditional anomaly detection methods for patient-management alert systems Compute Where it Counts: Self Optimizing Language Models AssayBench: An Assay-Level Virtual Cell Benchmark for LLMs and Agents Neural Weight Norm = Kolmogorov Complexity LoKA: Low-precision Kernel Applications for Recommendation Models At Scale Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why V4FinBench: Benchmarking Tabular Foundation Models, LLMs, and Standard Methods on Corporate Bankruptcy Prediction Beyond Red-Teaming: Formal Guarantees of LLM Guardrail Classifiers DataMaster: Towards Autonomous Data Engineering for Machine Learning Revisiting Policy Gradients for Restricted Policy Classes: Escaping Myopic Local Optima with $k$-step Policy Gradients Optimal and Scalable MAPF via Multi-Marginal Optimal Transport and Schr\"odinger Bridges Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices Variational Inference for L\'evy Process-Driven SDEs via Neural Tilting GONE: Structural Knowledge Unlearning via Neighborhood-Expanded Distribution Shaping Lecture Notes on Statistical Physics and Neural Networks Context-Augmented Code Generation: How Product Context Improves AI Coding Agent Decision Compliance by 49% Alice v1: Distillation-Enhanced Video Generation Surpassing Closed-Source Models Modular Retrieval-Augmented Generalization for Human Action Recognition Performance and Energy Trade-Off Analysis of Hierarchical Federated Learning for Plant Disease Classification Forecasting Source Stability in Scientific Experiments using Temporal Learning Models: A Case Study from Tritium Monitoring Self-Captioning Multimodal Interaction Tuning: Amplifying Exploitable Redundancies for Robust Vision Language Models Understanding Asynchronous Inference Methods for Vision-Language-Action Models Augmented Equivariant Mesh Networks for Anatomical Segmentation CASISR: Circular Arbitrary-Scale Image Super-Resolution Neural Posterior Estimation of Terrain Parameters from Radar Sounder Data Information Density as a Quantitative Measure for AI-enabled Virtual Sensing: Feasibility and Limits Text-Guided Multi-Scale Frequency Representation Adaptation Sparsity Hurts: Simple Linear Adapter Can Boost Generalized Category Discovery Rethinking Entropy Minimization in Test-Time Adaptation for Autoregressive Models Towards Interpretable Damage Detection based on Aerodynamic Pressure Measurements NeurIPS Should Require Reproducibility Standards for Frontier AI Safety Claims Domain-Adaptive Arrhythmia Classification Using a Hybrid Transformer on Wearable Heart Signals Where Reliability Lives in Vision-Language Models: A Mechanistic Study of Attention, Hidden States, and Causal Circuits Learning the Channel Gain from Anywhere to Anywhere via Cross-environment Transformer Estimators Test-Time Training for Visual Foresight Vision-Language-Action Models Inverse Design of Multi-Layer Sub-Pixel-Resolution RF Passives Through Grayscale Diffusion with Flexible S-Parameter Conditioning Resource-Aware Evolutionary Neural Architecture Search for Cardiac MRI Segmentation An Explainable Unsupervised-to-Supervised Machine Learning Framework for Dietary Pattern Discovery Using UK National Dietary Survey Data GPU-Accelerated Synthesis of Mixed-Boolean Arithmetic: Beyond Caching Smart Railway Obstruction Detection System using IoT and Computer Vision Research on Security Enhancement Methods for Adversarial Robust Large Language Model Intelligent Agents for Medical Decision-Making Tasks Decentralized Conformal Novelty Detection via Quantized Model Exchange Non-intrusive Body Composition Assessment from Full-body mmWave Scans Seed Hijacking of LLM Sampling and Quantum Random Number Defense FQPDR: Federated Quantum Neural Network for Privacy-preserving Early Detection of Diabetic Retinopathy CAMAL: Improving Attention Alignment and Faithfulness with Segmentation Masks On Distinguishing Capability Elicitation from Capability Creation in Post-Training: A Free-Energy Perspective Transfer Learning for Dead Fuel Moisture Prediction Using Time-Warping Recurrent Neural Networks On Observation Time for Recovering Latent Hawkes Networks Belief or Circuitry? Causal Evidence for In-Context Graph Learning Alignment as Jurisprudence The Attacker in the Mirror: Breaking Self-Consistency in Safety via Anchored Bipolicy Self-Play Active Multiple-Prediction-Powered Inference Defense effectiveness across architectural layers: a mechanistic evaluation of persistent memory attacks on stateful LLM agents HEART: A High-Efficiency Adaptive Real-Time Telemonitoring Framework for Secure Electrocardiogram Signal Transmission Using Chaotic Encryption PYTHALAB-MERA: Validation-Grounded Memory, Retrieval, and Acceptance Control for Frozen-LLM Coding Agents Sinkhorn Treatment Effects: A Causal Optimal Transport Measure A Unified Lyapunov-IQC Framework for Uniform Stability of Smooth Quadratic First-Order Accelerated Optimizers A Single Neuron Is Sufficient to Bypass Safety Alignment in Large Language Models Geometric Flood Depth Estimation: Fusing Transformer-Based Segmentation with Digital Elevation Models Human-Inspired Memory Architecture for LLM Agents Sliced Inner Product Gromov-Wasserstein Distances Learnability and Competition in High-Dimensional Multi-Component ICA VeriContest: A Competitive-Programming Benchmark for Verifiable Code Generation MC-RFM: Geometry-Aware Few-Shot Adaptation via Mixed-Curvature Riemannian Flow Matching Structure-Preserving Reconstruction of Convex Lipschitz Functionals on Hilbert Spaces from Finite Samples CONTRA: Conformal Prediction Region via Normalizing Flow Transformation Biological Plausibility and Representational Alignment of Feedback Alignment in Convolutional Networks MicroDiffuse3D: A Foundation Model for 3D Microscopy Imaging Restoration Post-hoc Selective Classification for Reliable Synthetic Image Detection Improving Generative Adversarial Networks with Self-Distillation FLARE: One-Shot PE-Level Fault Localization in Systolic Arrays via Algebraic Test Vectors Beyond Toy Benchmarks: A Systematic Evaluation of OOD Detection Methods For Plant Pathology Classification Large Language Models over Networks: Collaborative Intelligence under Resource Constraints Energy-based models for diagnostic reconstruction and analysis in a laboratory plasma device AgentCollabBench: Diagnosing When Good Agents Make Bad Collaborators Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection Attention-based graph neural networks: a survey Semantic Voting: Execution-Grounded Consensus for LLM Code Generation Core-Halo Decomposition: Decentralizing Large-Scale Fixed-Point Problems Structured Recurrent Mixers for Massively Parallelized Sequence Generation Supersampling Stable Diffusion and More: An Approach for Interpolating Neural Networks Using Common Interpolation Methods RewardHarness: Self-Evolving Agentic Post-Training Bias by Necessity: Impossibility Theorems for Sequential Processing with Convergent AI and Human Validation Control Your View: High-Resolution Global Semantic Manipulation in Learned Image Compression Single-Thread JPEG Decoder Benchmarks Mis-Evaluate ML Data Loaders Latent Geometry Beyond Search: Amortizing Planning in World Models MeshFIM: Local Low-Poly Mesh Editing via Fill-in-the-Middle Autoregressive Generation Beyond the All-in-One Agent: Benchmarking Role-Specialized Multi-Agent Collaboration in Enterprise Workflows Omni-DeepSearch: A Benchmark for Audio-Driven Omni-Modal Deep Search ProcVLM: Learning Procedure-Grounded Progress Rewards for Robotic Manipulation Measuring and Decomposing Mode Separation via the Canonical Diffusion Not All Turns Matter: Credit Assignment for Multi-Turn Jailbreaking cuRegOT: A GPU-Accelerated Solver for Entropic-Regularized Optimal Transport Curvature-Aware Captioning:Leveraging Geodesic Attention for 3D Scene Understanding Learning Theory of Transformers: Local-to-Global Approximation via Softmax Partition of Unity From pre-training to downstream performance: Does domain-specific pre-training make sense? M$^3$: Reframing Training Measures for Discretized Physical Simulations Local LMO: Constrained Gradient Optimization via a Local Linear Minimization Oracle Geometrically Constrained Stenosis Editing in Coronary Angiography via Entropic Optimal Transport Max-pooling Network Revisited: Analyzing the Role of Semantic Probability in Multiple Instance Learning for Hallucination Detection Tight Generalization Bounds for Noiseless Inverse Optimization Rennala MVR: Improved Time Complexity for Parallel Stochastic Optimization via Momentum-Based Variance Reduction FragileFlow: Spectral Control of Correct-but-Fragile Predictions for Foundation Model Robustness Enhancing Adversarial Robustness in Network Intrusion Detection: A Layer-wise Adaptive Regularization Approach PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting Self-ReSET: Learning to Self-Recover from Unsafe Reasoning Trajectories Can We Formally Verify Neural PDE Surrogates? SMT Compilation of Small Fourier Neural Operators CrystalREPA: Transferring Physical Priors from Universal MLIPs to Crystal Generative Models Survey-aware Machine Learning: A Guideline for Valid Population Health Inference based on Scoping Review Beyond the Black Box: An Interpretable Machine Learning Framework for Predicting Electronic Structure Microdescriptors and Structure-Performance Relationships in Fe-based Catalytic Systems LLiMba: Sardinian on a Single GPU -- Adapting a 3B Language Model to a Vanishing Romance Language CATO: Charted Attention for Neural PDE Operators Evolutionary Ensemble of Agents Learning Pure Quantum States in Any Dimension (Almost) Without Regret MedFL-Stress: A Systematic Robustness Evaluation of Federated Brain Tumor Segmentation under Cross-Hospital MRI Appearance Shift GAMBIT: A Three-Mode Benchmark for Adversarial Robustness in Multi-Agent LLM Collectives When Style Similarity Scores Fail: Diagnosing Raw CSD Cosine in Artist-Style Evaluation A Quantum Inspired Variational Kernel and Explainable AI Framework for Cross Region Solar and Wind Energy Forecasting UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence Nonlinear GENERIC Informed Neural Networks (N-GINNs): learning GENERIC dynamics with non-quadratic dissipation potentials A Market-Rule-Informed Neural Network for Efficient Imbalance Electricity Price Forecasting Dependency-Aware Discrete Diffusion for Scene Graph Generation Optimality of Sub-network Laplace Approximations: New Results and Methods Robust Multi-Agent LLMs under Byzantine Faults Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias Quantum Transfer Learning Shows Improved Robustness in Low-Data Regimes Transfer Learning of Multiobjective Indirect Low-Thrust Trajectories Using Diffusion Models and Markov Chain Monte Carlo WorldSpeech: A Multilingual Speech Corpus from Around the World CIVeX: Causal Intervention Verification for Language Agents Emergent Semantic Role Understanding in Language Models RigidFormer: Learning Rigid Dynamics using Transformers Kinetic theory for Transformers and the lost-in-the-middle phenomenon Learning the Preferences of a Learning Agent Flame3D: Zero-shot Compositional Reasoning of 3D Scenes with Agentic Language Models The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security Beyond Binary Scoring Privacy-Preserving Distributed Learning in IoT Systems: A Unified Threat Model and Evaluation Framework Repeated-Token Counting Reveals a Dissociation Between Representations and Outputs Micro-Defects Expose Macro-Fakes: Detecting AI-Generated Images via Local Distributional Shifts LagrangianSplats: Divergence-Free Transport of Gaussian Primitives for Fluid Reconstruction Reinforcement Learning Measurement Model Mem-W: Latent Memory-Native GUI Agents PGID: Progressive Guided Inversion and Denoising for Robust Watermark Detection Test-Time Speculation A Cross-Layered Multi-Drone Coordination for Medical Supply Delivery during Disaster Response Management Mutual Information Optimal Density Control of Linear Systems and Generalized Schr\"{o}dinger Bridges with Reference Refinement Split CNN Inference on Networked Microcontrollers Kinetic-Optimal Scheduling with Moment Correction for Metric-Induced Discrete Flow Matching in Zero-Shot Text-to-Speech Universal Feature Selection with Noisy Observations and Weak Symmetry Conditions PoHAR: Understanding Hyperlocal Human Activities with Pollution Sensor Networks Optimal Regret for Single Index Bandits Quantitative Local Convergence of Mean-Field Stein Variational Gradient Flow A Cognitively Grounded Bayesian Framework for Misinformation Susceptibility Not All Thoughts Need HBM: Semantics-Aware Memory Hierarchy for LLM Reasoning Enabling Structure-Only Initialization and Out-of-Distribution Generalization in GNN-based Molecular Dynamics Simulators Beyond Language: Format-Agnostic Reasoning Subspaces in Large Language Models Hidden Error Awareness in Chain-of-Thought Reasoning: The Signal Is Diagnostic, Not Causal Position: AI Security Policy Should Target Systems, Not Models Empirical Bayes 1-bit matrix completion Phases of Muon: When Muon Eclipses SignSGD CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics Efficient Ensemble Selection from Binary and Pairwise Feedback SmartEval: A Benchmark for Evaluating LLM-Generated Smart Contracts from Natural Language Specifications Adaptive DNN Partitioning and Offloading in Heterogeneous Edge-Cloud Continuum Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models Overcoming Catastrophic Forgetting in Visual Continual Learning with Reinforcement Fine-Tuning Workspace Optimization: How to Train Your Agent Metropolis-Adjusted Diffusion Models FreeMOCA: Memory-Free Continual Learning for Malicious Code Analysis Do multimodal models imagine electric sheep? Discriminative Span as a Predictor of Synthetic Data Utility via Classifier Reconstruction A Real-Calibrated Synthetic-First Data Engine Learning stochastic multiscale models through normalizing flows Learning from Acceptance: Cumulative Regret in the Game of Coding Accelerating Power Method with Fast Sketching for Stronger Low-Rank Approximation EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution Multi-Tier Labeling and Physics-Informed Learning for Orbital Anomaly Detection at Scale CrossVL: Complexity-Aware Feature Routing and Paired Curriculum for Cross-View Vision-Language Detection TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networks Cross-Domain Lossy Compression via Constrained Minimum Entropy Coupling Supercharging Bayesian Inference with Reliable AI-Informed Priors The Association of Transformer-based Sentiment Analysis with Symptom Distress and Deterioration in Routine Psychotherapy Care The Metacognitive Probe: Five Behavioural Calibration Diagnostics for LLMs Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI Unified Approach for Weakly Supervised Multicalibration Nautilus Compass: Black-box Persona Drift Detection for Production LLM Agents DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment Dissecting Jet-Tagger Through Mechanistic Interpretability Deep Learning under Fractional-Order Differential Privacy The Observable Wasserstein Distance Urban-ImageNet: A Large-Scale Multi-Modal Dataset and Evaluation Framework for Urban Space Perception Total Generalized Variation regularization closes the gap between neural-eld and classical methods in seismic travel-time tomography Geometric 4D Stitching for Grounded 4D Generation Prospective Compression in Human Abstraction Learning Federated Language Models Under Bandwidth Budgets: Distillation Rates and Conformal Coverage Optimizer-Induced Mode Connectivity: From AdamW to Muon Lakestream: A Consistent and Brokerless Data Plane for Large Foundation Model Training Differentially Private Sampling from Distributions via Wasserstein Projection PixelFlowCast: Latent-Free Precipitation Nowcasting via Pixel Mean Flows A Stability Benchmark of Generative Regularizers for Inverse Problems PoDAR: Power-Disentangled Audio Representation for Generative Modeling GLiNER-Relex: A Unified Framework for Joint Named Entity Recognition and Relation Extraction Rethinking Constraint Awareness for Efficient State Embedding of Neural Routing Solver GELATO: Generative Entropy- and Lyapunov-based Adaptive Token Offloading for Device-Edge Speculative LLM Inference PFN-TS: Thompson Sampling for Contextual Bandits via Prior-Data Fitted Networks APEX: Audio Prototype EXplanations for Classification Tasks Coarsening Linear Non-Gaussian Causal Models with Cycles Joint sparse coding and temporal dynamics support context reconfiguration TRACE: Distilling Where It Matters via Token-Routed Self On-Policy Alignment Extended Wasserstein-GAN Approach to Causal Distribution Learning: Density-Free Estimation and Minimax Optimality Parameterized Complexity of Stationarity Testing for Piecewise-Affine Functions and Shallow CNN Losses Stellar Age Compression Reshapes Interpretations of the Milky Way Thick-Disk Formation History MARGIN: Margin-Aware Regularized Geometry for Imbalanced Vulnerability Detection Building Korean linguistic resource for NLU data generation of banking app CS dialog system E-TCAV: Formalizing Penultimate Proxies for Efficient Concept Based Interpretability Scalable Gaussian process inference via neural feature maps Characterizing the Generalization Error of Random Feature Regression with Arbitrary Data-Augmentation Qwen Goes Brrr: Off-the-Shelf RAG for Ukrainian Multi-Domain Document Understanding Fast Training of Mixture-of-Experts for Time Series Forecasting via Expert Loss Integration Portable Active Learning for Object Detection Multifidelity Gaussian process regression for solving nonlinear partial differential equations Regret Analysis of Guided Diffusion for Black-Box Optimization over Structured Inputs Sharp feature-learning transitions and Bayes-optimal neural scaling laws in extensive-width networks DRIFT: Drift-Resilient Invariant-Feature Transformer for DGA Detection Regret Minimization in Bilateral Trade With Perturbed Markets Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning PrimeKG-CL: A Continual Graph Learning Benchmark on Evolving Biomedical Knowledge Graphs Bridging Sequence and Graph Structure for Epigenetic Age Prediction EnergyLens: Interpretable Closed-Form Energy Models for Multimodal LLM Inference Serving Affine Tracing: A New Paradigm for Probabilistic Linear Solvers Acceptance Cards:A Four-Diagnostic Standard for Safe Fine-Tuning Defense Claims Amortizing Causal Sensitivity Analysis via Prior Data-Fitted Networks A Resilient Solution for Sewer Overflow Monitoring across Cloud and Edge Reconfigurable Computing Challenge: Real-Time Graph Neural Networks for Online Event Selection in Big Science Exact Fixed-Point Constraints in Neural-ODEs with Provable Universality Hierarchical Causal Abduction: A Foundation Framework for Explainable Model Predictive Control A Single-Layer Model Can Do Language Modeling Not Blind but Silenced: Rebalancing Vision and Language via Adversarial Counter-Commonsense Equilibrium Scalable Mamba-Based Message-Passing Neural Decoder for Error-Correcting Codes Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality Data An Uncertainty-Aware Resilience Micro-Agent for Causal Observability in the Computing Continuum AllocMV: Optimal Resource Allocation for Music Video Generation via Structured Persistent State Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning On the global convergence of gradient descent for wide shallow models with bounded nonlinearities Fixed-Point Neural Optimal Transport without Implicit Differentiation Factual recall in linear associative memories: sharp asymptotics and mechanistic insights PhyGround: Benchmarking Physical Reasoning in Generative World Models LLMs for Secure Hardware Design and Related Problems: Opportunities and Challenges MaD Physics: Evaluating information seeking under constraints in physical environments Predicting 3D structure by latent posterior sampling Transcoda: End-to-End Zero-Shot Optical Music Recognition via Data-Centric Synthetic Training The Generalized Turing Test: A Foundation for Comparing Intelligence Masked Generative Transformer Is What You Need for Image Editing BEACON: A Multimodal Dataset for Learning Behavioral Fingerprints from Gameplay Data Attractor-Vascular Coupling Theory: Formal Grounding and Empirical Validation for AAMI-Standard Cuffless Blood Pressure Estimation from Smartphone Photoplethysmography RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis Quantifying Concentration Phenomena of Mean-Field Transformers in the Low-Temperature Regime ELF: Embedded Language Flows Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metrics EchoAlign: Bridging Generative and Discriminative Learning under Noisy Labels Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels Explaining Graph Neural Networks for Node Similarity on Graphs Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting Sundial: A Family of Highly Capable Time Series Foundation Models The Differences Between Direct Alignment Algorithms are a Blur PINS: Proximal Iterations with Sparse Newton and Sinkhorn for Optimal Transport Rethinking the Global Knowledge of CLIP in Training-Free Open-Vocabulary Semantic Segmentation Transformers Provably Learn Sparse XOR with Polylogarithmic Parameters Simulus: Combining Improvements in Sample-Efficient World Model Agents Structural Alignment Improves Graph Test-Time Adaptation Mixture of Experts for Recognizing Depression from Interview and Reading Tasks Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers Decoding Islamophobic Discourse: Using LLMs to Identify Tropes and Semi-Coded Hate Speech Toward General and Robust LLM-enhanced Text-attributed Graph Learning How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients Quantitative Clustering in Mean-Field Transformer Models Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy Deep-ICE: the first globally optimal algorithm for minimizing 0-1 loss in two-layer ReLU and maxout networks Streaming Sliced Optimal Transport Meta-reinforcement learning with minimum attention Data Mixing Can Induce Phase Transitions in Knowledge Acquisition Representative Action Selection for Large Action Space Bandit Families SPDEBench: An Extensive Benchmark for Learning Stochastic PDEs Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory Beyond Multiple Choice: Evaluating Steering Vectors for Summarization Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration TAH-QUANT: Effective Activation Quantization in Pipeline Parallelism over Slow Network Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Relational reasoning and inductive bias in transformers and large language models CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model Sequential Causal Discovery with Noisy Language Model Priors FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation Causal Discovery for Irregularly Time Series with Consistency Guarantees Reinforcement Learning with Action Chunking Explainable Machine Learning Framework for Cardiovascular Disease Diagnosis and Prognosis Position: Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead PA-RNet: Perturbation-Aware Residual Network for Robust Multimodal Time Series Forecasting Task complexity shapes internal representations and robustness in neural networks Robust Remote Reinforcement Learning over Unreliable Communication Channels using Homomorphic State Encoding Randomized PCA Forest for Unsupervised Outlier Detection EventTSF: Event-Aware Non-Stationary Time Series Forecasting Assessing Trustworthiness of AI Training Dataset using Subjective Logic -- A Use Case on Bias Learning to Learn the Macroscopic Fundamental Diagram using Physics-Informed and meta Machine Learning techniques Multimodal Representation Learning Conditioned on Semantic Relations Token Buncher: Shielding LLMs from Harmful Reinforcement Learning Fine-Tuning Privacy Auditing Synthetic Data Release through Local Likelihood Attacks RL Fine-Tuning Heals OOD Forgetting in SFT Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision Fully Decentralized Cooperative Multi-Agent Reinforcement Learning is A Context Modeling Problem On the Convergence of Muon and Beyond Global Optimization via Softmin Energy Minimization Frictional Q-Learning Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels Explicit and Effectively Symmetric Schemes for Neural SDEs on Lie Groups LiLAW: Lightweight Learnable Adaptive Weighting to Learn Sample Difficulty & Improve Noisy Training Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices High-probability zeroth-order online convex optimisation beyond Euclidean geometry Neuroprobe: Evaluating Intracranial Brain Responses to Naturalistic Stimuli Prophecy: Inferring Formal Properties from Neuron Activations Mechanistic Independence: A Principle for Identifiable Disentangled Representations Hermes: A Multi-Scale Spatial-Temporal Hypergraph Network for Stock Time Series Forecasting Towards a Certificate of Trust: Task-Aware OOD Detection for Scientific AI Deep set based operator learning with uncertainty quantification Less is More: Towards Simple Graph Contrastive Learning GLAI: GreenLightningAI for Accelerated Training through Knowledge Decoupling SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network PAINET: A Principled Efficient Transformer for 3D Dynamics Modeling Adaptive Memory Momentum via a Model-Based Framework for Deep Learning Optimization NEO: No-Optimization Test-Time Adaptation through Latent Re-Centering Control-Augmented Autoregressive Diffusion for Data Assimilation Black-Box Detection of LLM-Generated Text Using Generalized Jensen-Shannon Divergence Batch Bayesian Active Learning with Partial Batch Label Sampling Provable Anytime Ensemble Sampling Algorithms in Nonlinear Contextual Bandits Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring LILO: Bayesian Optimization with Natural Language Feedback ActivationReasoning: Logical Reasoning in Latent Activation Spaces Bi-CoG: Bi-Consistency-Guided Self-Training for Vision-Language Models TELL-TALE: Task Efficient LLMs with Task Aware Layer Elimination TetraJet-v2: Accurate NVFP4 Training for Large Language Models with Oscillation Suppression and Outlier Control TripleWin: Fixed-Point Equilibrium Pricing for Data-Model Coupled Markets Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks COGNOS: Universal Enhancement for Time Series Anomaly Detection via Constrained Gaussian-Noise Optimization and Smoothing MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation Adaptive Symmetrization of the KL Divergence Generative Adversarial Post-Training Mitigates Reward Hacking in Live Human-AI Music Interaction Learning Rate Scheduling with Matrix Factorization for Private Training MapFormer: Self-Supervised Learning of Cognitive Maps with Input-Dependent Positional Embeddings BRIDGE: Building Representations In Domain Guided Program Synthesis GraphBench: Next-generation graph learning benchmarking CARL: Criticality-Aware Agentic Reinforcement Learning A new initialisation to Control Gradients in Sinusoidal Neural network When Tables Leak: Attacking String Memorization in LLM-Based Tabular Data Generation Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning MIDUS: Memory-Infused Depth Up-Scaling Adaptive digital twins for predictive decision-making: Online Bayesian learning of transition dynamics A Unified Representation of Neural Networks Architectures On the Convergence Rate of LoRA Gradient Descent The Procrustean Bed of Time Series: The Optimization Bias in Point-wise Loss Functions The Ensemble Schr{\"o}dinger Bridge filter for Nonlinear Data Assimilation DUALFloodGNN: Physics-informed Graph Neural Network for Operational Flood Modeling Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation Q-learning with Adjoint Matching Beyond Hard Writes and Rigid Preservation: Soft Recursive Least-Squares for Lifelong LLM Editing VAE with Hyperspherical Coordinates: Improving Anomaly Detection from Hypervolume-Compressed Latent Space The Geometric Reasoner: Manifold-Informed Latent Foresight Search for Long-Context Reasoning The Geometric Mechanics of Contrastive Representation Learning: Alignment Potentials, Entropic Dispersion, and Cross-modal Divergence What's the plan? Metrics for implicit planning in LLMs and their application to rhyme generation and question answering Implicit Hypothesis Testing and Divergence Preservation in Neural Network Representations Supervised Guidance Training for Infinite-Dimensional Diffusion Models Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioning Signal from Structure: Exploiting Submodular Upper Bounds in Generative Flow Networks Model-Free Neural Filtering: A Comparison with Classical Filters in Nonlinear Systems ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency Curriculum Learning for LLM Pretraining: An Analysis of Learning Dynamics Why Adam Works Better with $\beta_1 = \beta_2$: The Missing Gradient Scale Invariance Principle SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization FedAdaVR: Adaptive Variance Reduction for Robust Federated Learning under Limited Client Participation Matrix Factorization for Practical Continual Mean Estimation Under User-Level Differential Privacy CoDCL: Counterfactual-Inspired Augmentation Contrastive Learning for Temporal Link Prediction in Social Networks Transformation-Augmented GRPO for Enhancing Exploration in Reasoning of Large Language Models Root Cause Analysis of Measurement and Mechanistic Anomalies Optimal Transport-Guided Adversarial Attacks on Graph Neural Network-Based Bot Detection A Minimum Variance Path Principle for Accurate and Stable Score-Based Density Ratio Estimation SAGE: Agentic Framework for Interpretable and Clinically Translatable Computational Pathology Biomarker Discovery Mixture-of-Top-k Attention: Efficient Attention via Scalable Fast Weights Hidden Heroes and Gradient Bloats: Layer-Wise Redundancy Inverts Attribution in Transformers Outlier-robust Diffusion Posterior Sampling for Bayesian Inverse Problems A Physical Theory of Backpropagation: Exact Gradients from the Least-Action Principle MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training What Structural Inductive Bias Helps Transformers Reason Over Knowledge Graphs? A Study with Tabula RASA PrAg-PO: Prompt Augmented Policy Optimization for Robust and Diverse Mathematical Reasoning Efficient Estimation of Kernel Surrogate Models for Task Attribution SEIS: Subspace-based Equivariance and Invariance Scores for Neural Representations Federated Concept-Based Models: Interpretable models with distributed supervision Beyond Accuracy: Evaluating Posterior Fidelity of Diffusion Inverse Solvers Disentangled Representation Learning via Flow Matching CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers CoreQ: Learning-Free Mismatch Correction and Successive Rounding for Quantization f-GRPO and Beyond: Divergence-Based Reinforcement Learning Algorithms for General LLM Alignment Achieving Better Local Regret Bound for Online Non-Convex Bilevel Optimization Dynamics-Aligned Shared Hypernetworks for Contextual RL under Discontinuous Shifts Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding Finding Connections: Membership Inference Attacks for the Multi-Table Synthetic Data Setting BONSAI: Bayesian Optimization with Natural Simplicity and Interpretability Breaking the Grid: Distance-Guided Reinforcement Learning in Large Discrete Action Spaces ERIS: Enhancing Privacy and Scalability in Federated Learning via Federated Shard Aggregation Laplacian Heads Improve Transformers by Smoothing Token Representations SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints Rashomon Sets and Model Multiplicity in Federated Learning When Less is More: The LLM Scaling Paradox in Context Compression The Sample Complexity of Uniform Approximation for Multi-Dimensional CDFs and Fixed-Price Mechanisms Fully First-Order Algorithms for Online Bilevel Optimization RelBench v2: A Large-Scale Benchmark and Repository for Relational Data Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity Discrete Double-Bracket Flows for Isotropic-Noise Invariant Eigendecomposition Sequential Membership Inference Attacks SCOPE: Structured Prototype-Guided Adaptation for EEG Foundation Models with Limited Labels $(\alpha,\beta)$-Stability for Boosting Vector-Valued Prediction Learning from Trials and Errors: Reflective Test-Time Planning for Embodied LLMs SymTorch: Symbolic Distillation of Neural Networks Mitigating Membership Inference in Intermediate Representations with Differentially Private Training Spectral Condition for $\mu$P under Width-Depth Scaling TiledAttention: a CUDA Tile SDPA Kernel for PyTorch Causal Discovery Should Embrace the Wisdom of the Crowd An Empirical Analysis of Calibration and Selective Prediction in Multimodal Clinical Condition Classification MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier Relational In-Context Learning via Synthetic Pre-training with Structural Prior What Does Flow Matching Bring To TD Learning? Reward-Conditioned Reinforcement Learning Cheap Thrills: Effective Amortized Optimization Using Inexpensive Labels Deterministic Differentiable Structured Pruning for Large Language Models Impact of Connectivity on Laplacian Representations in Reinforcement Learning Towards Batch-to-Streaming Deep Reinforcement Learning for Continuous Control Generalized Hierarchical Bayesian Segmentation with Irregular Designs, Multi-Sequence Hierarchies, and Grouped/Latent-Group Designs LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs VC-Soup: Value-Consistency Guided Multi-Value Alignment for Large Language Models MolRGen: A Training and Evaluation Setting for De Novo Molecular Generation with Reasonning Models Load--Reserve Wasserstein Propagation for Isotropic Diffusion Samplers ROM: Real-time Overthinking Mitigation via Streaming Detection and Intervention An Integrative Genome-Scale Metabolic Modeling and Machine Learning Framework for Predicting and Optimizing Single-Cell Protein Production in Saccharomyces cerevisiae Selective Deficits in LLM Mental Self-Modeling in a Behavior-Based Test of Theory of Mind MuonEq: Balancing Before Orthogonalization with Lightweight Equilibration Aligning Validation with Deployment: Target-Weighted Cross-Validation for Spatial Prediction Auction-Based Online Policy Adaptation for Evolving Objectives Mitigating Data Scarcity in Spaceflight Applications for Offline Reinforcement Learning Using Physics-Informed Deep Generative Models Time-Warping Recurrent Neural Networks for Transfer Learning Steerable but Not Decodable: Function Vectors Operate Beyond the Logit Lens Regime-Calibrated Fleet Repositioning with a Spatial Queue-Regret Decomposition Supervised Dimensionality Reduction Revisited: Why LDA on Frozen CNN Features Deserves a Second Look Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series MICA: Multivariate Infini Compressive Attention for Time Series Forecasting Generative Cross-Entropy: A Strictly Proper Loss for Data-Efficient Classification Sparse-Aware Neural Networks for Nonlinear Functionals: Mitigating the Exponential Dependence on Dimension Selective Neuron Amplification in Transformer Language Models SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective Distributionally Robust Token Optimization in RLHF CausalGaze: Unveiling Hallucinations via Counterfactual Graph Intervention in Large Language Models EEG-Based Multimodal Learning via Hyperbolic Mixture-of-Curvature Experts PAC-MCTS: Bias-Aware Pruning for Robust LLM-Guided Search and Planning DLink: Distilling Layer-wise and Dominant Knowledge from EEG Foundation Models Stargazer: A Scalable Model-Fitting Benchmark Environment for AI Agents under Astrophysical Constraints COSAC: Counterfactual Credit Assignment in Sequential Cooperative Teams LEPO: Latent Reasoning Policy Optimization for Large Language Models Harmful Intent as a Geometrically Recoverable Feature of LLM Residual Streams Calibrating Scientific Foundation Models with Inference-Time Stochastic Attention Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts Cover meets Robbins while Betting on Bounded Data: $\ln n$ Regret and Almost Sure $\ln\ln n$ Regret Physics-Enhanced Deep Learning for Proactive Thermal Runaway Forecasting in Li-Ion Batteries Physics-Conditioned Synthesis of Internal Ice-Layer Thickness for Incomplete Layer Traces CAP: Controllable Alignment Prompting for Unlearning in LLMs Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation Cardiac Stability Theory: An Axiomatically Grounded Framework for Continuous Cardiac Health Monitoring via Smartphone Photoplethysmography Negative Ontology of True Target for Machine Learning: Towards Evaluation and Learning under Democratic Supervision Rethinking Layer Redundancy in Large Language Models: Calibration Objectives and Search for Depth Pruning Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence Addressing Performance Saturation for LLM RL via Precise Entropy Curve Control Diversity in Large Language Models under Supervised Fine-Tuning InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees Group Cognition Learning: Making Everything Better Through Governed Two-Stage Agents Collaboration The Power of Order: Fooling LLMs with Adversarial Table Permutations AI Alignment via Incentives and Correction AsymTalker: Identity-Consistent Long-Term Talking Head Generation via Asymmetric Distillation Validity-Calibrated Reasoning Distillation A Mean Curvature Approach to Boundary Detection: Geometric Insights for Unsupervised Learning ITBoost: Information-Theoretic Trust for Robust Boosting OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization Trustworthy Federated Label Distribution Learning under Annotation Quality Disparity A geometric relation of the error introduced by sampling a language model's output distribution to its internal state KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels Neural Co-state Policies: Structuring Hidden States in Recurrent Reinforcement Learning TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models BoostLLM: Boosting-inspired LLM Fine-tuning for Few-shot Tabular Classification Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs Region Seeding via Pre-Activation Regularization: A Geometric View of Piecewise Affine Neural Networks Layer Collapse in Diffusion Language Models Edge-specific signal propagation on mature chromophore-region 3D mechanism graphs for fluorescent protein quantum-yield prediction Sparse Attention as a Range Searching Problem: Towards an Inference-Efficient Index for KV Cache Benchmarked Yet Not Measured -- Generative AI Should be Evaluated Against Real-World Utility HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents StreamPhy: Streaming Inference of High-Dimensional Physical Dynamics via State Space Models Beyond Distribution Estimation: Simplex Anchored Structural Inference Towards Universal Semi-Supervised Learning Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States Scaling Categorical Flow Maps Tree SAE: Learning Hierarchical Feature Structures in Sparse Autoencoders The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints Inductive Entity Representations from Text via Link Prediction Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions Projection-Free Functional Constrained Optimization for Risk Aversion and Sparsity Control Bayesian Reasoning for Physics Informed Neural Networks Attention-Mamba: A Mamba-Enhanced Multi-Scale Parallel Inference Network for Medical Image Segmentation FunnelNet: An End-to-End Deep Learning Framework to Monitor Digital Heart Murmur in Real-Time Quasi-Linear ICA for Motor Unit Decomposition during Dynamic Contractions Efficient Statistics With Unknown Truncation, Polynomial Time Algorithms, Beyond Gaussians Diffusion Models are Evolutionary Algorithms Hierarchical Reinforced Trader (HRT): A Bi-Level Approach for Optimizing Stock Selection and Execution Differentially Private Hyperparameter Tuning using Local Bayesian Optimization OrderFusion: Encoding Orderbook for End-to-End Probabilistic Intraday Electricity Price Forecasting Beyond the Singular: Revealing the Value of Multiple Generations in Benchmark Evaluation Why is prompting hard? Understanding prompts on binary sequence predictors FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting LLM-Augmented Chemical Synthesis and Design Decision Programs Liouville PDE-based sliced-Wasserstein flow One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory Where Do Reasoning Models Refuse? Mitigating Watermark Forgery in Generative Models via Randomized Key Selection Sliding Window Informative Canonical Correlation Analysis SpectraLLM: Uncovering the Ability of LLMs for Molecular Structure Elucidation from Multi-Spectral Data AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs Estimating Heterogeneous Causal Effect on Networks via Orthogonal Learning Elastic MoE: Unlocking the Inference-Time Scalability of Mixture-of-Experts Debiased Front-Door Learners for Heterogeneous Effects Preventing Prompt Injection with Type-Directed Privilege Separation Turning Drift into Constraint: Robust Reasoning Alignment in Non-Stationary Multi-Stream Environments Differentially Private Spectral Graph Clustering: Balancing Privacy, Accuracy, and Efficiency Less Diverse, Less Safe: The Indirect But Pervasive Risk of Test-Time Scaling in Large Language Models When a Robot is More Capable than a Human: Learning from Constrained Demonstrators Constraint-Aware Reinforcement Learning via Adaptive Action Scaling Applying Graph Analysis for Unsupervised Fast Malware Fingerprinting The Invisible Handshake: Persistent Overpricing by Adaptive Market Agents No Mean Feat: Simple, Strong Baselines for Context Compression Prompt Estimation from Prototypes for Federated Prompt Tuning of Vision Transformers Optimal Attention Temperature Improves the Robustness of In-Context Learning under Distribution Shift in High Dimensions A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher? Complete Evidence Extraction with Model Ensembles: A Case Study on Medical Coding Consensus Sampling for Safer Generative AI Robust Spectral Watermark for Synthetic Tabular Data Counting Still Counts: Understanding Neural Complex Query Answering Through Query Relaxation Comparing Two Proxy Methods for Causal Identification Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling Improved Mean Flows: On the Challenges of Fastforward Generative Models Parallel Multi-Circuit Quantum Feature Fusion in Hybrid Quantum-Classical Convolutional Neural Networks for Breast Tumor Classification Consistent Projection of Langevin Dynamics: Preserving Thermodynamics and Kinetics in Coarse-Grained Models Temporal Tokenization Strategies for Event Sequence Modeling with Large Language Models Learning Confidence Ellipsoids and Applications to Robust Subspace Recovery Schoenfeld's Anatomy of Mathematical Reasoning by Language Models Reliable LLM-Based Edge-Cloud-Expert Cascades for Telecom Knowledge Systems Incorporating rank-free coupling and external field via an incoherent modulated spatial photonic Ising machine High-Entropy Tokens as Multimodal Failure Points in Vision-Language Models IntroLM: Introspective Language Models via Prefilling-Time Self-Evaluation AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answering Efficient Evaluation of LLM Performance with Statistical Guarantees Learning When to Trust LLM Priors: A Validated Framework for Semantic Prior Integration Supervised Mixture-of-Experts for Surgical Grasping and Retraction ScholarPeer: A Context-Aware Multi-Agent Framework for Automated Peer Review Hyperspherical Autoencoder for High-Fidelity Image Reconstruction and Generation Nested Slice Sampling: Vectorized Nested Sampling for GPU-Accelerated Inference Pix2Fact: When Vision Is Not Enough -- Benchmarking Fine-Grained VQA with Web Verification on High-Resolution Real-World Scenes Restoring Exploration after Post-Training: Latent Exploration Decoding for Large Reasoning Models RIR-Former: Coordinate-Guided Transformer for Continuous Reconstruction of Room Impulse Responses Context Learning for Multi-Agent Discussion MathlibLemma: Folklore Lemma Generation and Benchmark for Formal Mathematics SpatiaLab: Can Vision-Language Models Perform Spatial Reasoning in the Wild? Agent-Omit: Adaptive Context Omission for Efficient LLM Agents Targeted Synthetic Control Method SE-Bench: Benchmarking Self-Evolution with Knowledge Internalization Tighter Information-Theoretic Generalization Bounds via a Novel Class of Change of Measure Inequalities Constructive conditional normalizing flows Revis: Sparse Latent Steering to Mitigate Object Hallucination in Large Vision-Language Models Learning to Stay Safe: Adaptive Regularization Against Safety Degradation during Fine-Tuning VeRO: An Evaluation Harness for Agents to Optimize Agents Identifying Multi-Hit Cancer Drivers Without Massive Parallelization: A CP, MIP, and Column Generation Framework Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean-Field Subsampling Upholding Epistemic Agency: A Brouwerian Assertibility Constraint for Responsible AI Interactive Benchmarks Where Do Flow Semantics Reside? A Protocol-Native Tabular Pretraining Paradigm for Encrypted Traffic Classification OpenClaw-RL: Train Any Agent Simply by Talking MESD: A Risk-Sensitive Metric for Explanation Fairness Across Intersectional Subgroups Robust Building Damage Detection in Cross-Disaster Settings Using Domain Adaptation SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and Colloquialness Behavior-Centric Extraction of Scenarios from Highway Traffic Data and their Domain-Knowledge-Guided Clustering using CVQ-VAE Spectrally-Guided Diffusion Noise Schedules Detecting Multi-Agent Collusion Through Multi-Agent Interpretability REAP: Automatic Curation of Coding Agent Benchmarks from Interactive Production Usage Generating Hadamard matrices with transformers Detection Without Correction: A Robust Asymmetry in Activation-Based Hallucination Probing AgentGA: Evolving Code Solutions in Agent-Seed Space Mechanism Design for Decentralized Risk Detection: Strict Propriety, Network Coalitions, and the Backfiring Mandat VS-DDPM: Efficient Low-Cost Diffusion Model for Medical Modality Translation Geometric and dynamical analysis of attractor boundaries and storage limits in kernel Hopfield networks RTPrune: Reading-Twice Inspired Token Pruning for Efficient DeepSeek-OCR Inference Equation-Free Digital Twins for Nonlinear Structural Dynamics CLEAR: Revealing How Noise and Ambiguity Degrade Reliability in LLMs for Medicine The Perceptual Bandwidth Bottleneck in Vision-Language Models: Active Visual Reasoning via Sequential Experimental Design Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression SplitZip: Ultra Fast Lossless KV Compression for Disaggregated LLM Serving MAGIC: Multi-Step Advantage-Gated Causal Influence for Multi-agent Reinforcement Learning FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training Heterogeneous Model Fusion for Privacy-Aware Multi-Camera Surveillance via Synthetic Domain Adaptation Dueling DDQN-Based Adaptive Multi-Objective Handover Optimization for LEO Satellite Networks Stochastic Schr\"odinger Diffusion Models for Pure-State Ensemble Generation Workspace-Bench 1.0: Benchmarking AI Agents on Workspace Tasks with Large-Scale File Dependencies PHALAR: Phasors for Learned Musical Audio Representations Multiscale Euclidean Network Trajectories: Second-Moment Geometry, Attribution, and Change Points Temporal Structure Matters for Efficient Test-Time Adaptation in Wearable Human Activity Recognition Direct From Darwin: Deriving Advanced Optimizers From Evolutionary First Principles Stability of the Monge Map in Semi-Dual Optimal Transport Spherical Flows for Sampling Categorical Data Fourier Feature Methods for Nonlinear Causal Discovery: FFML Scoring, TRFF Scoring, and FFCI Testing in Mixed Data A Refined Generalization Analysis for Extreme Multi-class Supervised Contrastive Representation Learning NSPOD: Accelerating Krylov solvers via DeepONet-learned POD subspaces Asymptotically Log-Optimal Bayes-Assisted Confidence Sequences for Bounded MeansArxiv cs.AI
Where Reliability Lives in Vision-Language Models: A Mechanistic Study of Attention, Hidden States, and Causal Circuits Spatial Priming Outperforms Semantic Prompting: A Grid-Based Approach to Improving LLM Accuracy on Chart Data Extraction Auto-Rubric as Reward: From Implicit Preferences to Explicit Multimodal Generative Criteria Embeddings for Preferences, Not Semantics On Distinguishing Capability Elicitation from Capability Creation in Post-Training: A Free-Energy Perspective MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs SkillLens: Adaptive Multi-Granularity Skill Reuse for Cost-Efficient LLM Agents PLACO: A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams CoCoDA: Co-evolving Compositional DAG for Tool-Augmented Agents Belief or Circuitry? Causal Evidence for In-Context Graph Learning Playing games with knowledge: AI-Induced delusions need game theoretic interventions Political Plasticity: An Analysis of Ideological Adaptability in Large Language Models Alignment as Jurisprudence The Attacker in the Mirror: Breaking Self-Consistency in Safety via Anchored Bipolicy Self-Play Measuring What Matters: Benchmarking Generative, Multimodal, and Agentic AI in Healthcare LLM-guided Semi-Supervised Approaches for Social Media Crisis Data Classification Behavioral Determinants of Deployed AI Agents in Social Networks: A Multi-Factor Study of Personality, Model, and Guardrail Specification Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models AI-Care: A Conversational Agentic System for Task Coordination in Alzheimer's Disease Care Latent Personality Alignment: Improving Harmlessness Without Mentioning Harms OracleTSC: Oracle-Informed Reward Hurdle and Uncertainty Regularization for Traffic Signal Control Results and Retrospective Analysis of the CODS 2025 AssetOpsBench Challenge Human-LLM Dialogue Improves Diagnostic Accuracy in Emergency Care Human-Inspired Memory Architecture for LLM Agents Log analysis is necessary for credible evaluation of AI agents Evaluating Developmental Cognition Capabilities of LLMs Why Retrying Fails: Context Contamination in LLM Agent Pipelines Biological Plausibility and Representational Alignment of Feedback Alignment in Convolutional Networks What Will Happen Next: Large Models-Driven Deduction for Emergency Instances The Echo Amplifies the Knowledge: Somatic Marker Analogues in Language Models via Emotion Vector Re-Injection Generalization Bounds of Emergent Communications for Agentic AI Networking DiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules C2L-Net: A Data-Driven Model for State-of-Charge Estimation of Lithium-Ion Batteries During Discharge MIND-Skill: Quality-Guaranteed Skill Generation via Multi-Agent Induction and Deduction Iterative Critique-and-Routing Controller for Multi-Agent Systems with Heterogeneous LLMs Reconciling Consistency-Based Diagnosis with Actual-Causality-Based Explanations SkillMaster: Toward Autonomous Skill Mastery in LLM Agents MBP-KT: Learning Global Collaborative Information from Meta-Behavioral Pattern for Enhanced Knowledge Tracing RewardHarness: Self-Evolving Agentic Post-Training AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization When Can Human-AI Teams Outperform Individuals? Tight Bounds with Impossibility Guarantees Bias by Necessity: Impossibility Theorems for Sequential Processing with Convergent AI and Human Validation 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 AHD Agent: Agentic Reinforcement Learning for Automatic Heuristic Design From Holo Pockets to Electron Density: GPT-style Drug Design with Density EvoMAS: Learning Execution-Time Workflows for Multi-Agent Systems Reasoning Compression with Mixed-Policy Distillation Not All Turns Matter: Credit Assignment for Multi-Turn Jailbreaking Mirror, Mirror on the Wall: Can VLM Agents Tell Who They Are at All? How You Begin is How You Reason: Driving Exploration in RLVR via Prefix-Tuned Priors Mental Health AI Safety Claims Must Preserve Temporal Evidence When Agents Overtrust Environmental Evidence: An Extensible Agentic Framework for Benchmarking Evidence-Grounding Defects in LLM Agents FRACTAL: SSM with Fractional Recurrent Architecture for Computational Temporal Analysis of Long Sequences SynerDiff: Synergetic Continuous Batching for Fast and Parallel Diffusion Model Inference M$^3$: Reframing Training Measures for Discretized Physical Simulations Ace-Skill: Bootstrapping Multimodal Agents with Prioritized and Clustered Evolution OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs Internalizing Safety Understanding in Large Reasoning Models via Verification PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting Self-ReSET: Learning to Self-Recover from Unsafe Reasoning Trajectories Can We Formally Verify Neural PDE Surrogates? SMT Compilation of Small Fourier Neural Operators MDGYM: Benchmarking AI Agents on Molecular Simulations Agentic AI Scientists Are Not Built For Autonomous Scientific Discovery Latency Analysis and Optimization of Alpamayo 1 via Efficient Trajectory Generation Learning to Explore: Scaling Agentic Reasoning via Exploration-Aware Policy Optimization Sufficient conditions for a Heuristic Rating Estimation Method application Re$^2$Math: Benchmarking Theorem Retrieval in Research-Level Mathematics CATO: Charted Attention for Neural PDE Operators SearchSkill: Teaching LLMs to Use Search Tools with Evolving Skill Banks UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence Containment Verification: AI Safety Guarantees Independent of Alignment CauSim: Scaling Causal Reasoning with Increasingly Complex Causal Simulators Constant-Target Energy Matching: A Unified Framework for Continuous and Discrete Density Estimation Token Economics for LLM Agents: A Dual-View Study from Computing and Economics When (and How) to Trust the Expert: Diagnosing Query-Time Expert-Guided Reinforcement Learning Data-driven Circuit Discovery for Interpretability of Language Models MCP-Cosmos: World Model-Augmented Agents for Complex Task Execution in MCP Environments BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models Do LLMs Experience an Internal Polylogue? Investigating Reasoning through the Lens of Personas FORTIS: Benchmarking Over-Privilege in Agent Skills CIVeX: Causal Intervention Verification for Language Agents Open Ontologies: Tool-Augmented Ontology Engineering with Stable Matching Alignment Agentic MIP Research: Accelerated Constraint Handler Generation Emergent Semantic Role Understanding in Language Models Evidence Over Plans: Online Trajectory Verification for Skill Distillation The Geometry of Forgetting: Temporal Knowledge Drift as an Independent Axis in LLM Representations Learning the Preferences of a Learning Agent How Much is Brain Data Worth for Machine Learning? SeePhys Pro: Diagnosing Modality Transfer and Blind-Training Effects in Multimodal RLVR for Physics Reasoning Shaping Schema via Language Representation as the Next Frontier for LLM Intelligence Expanding Towards Conversational Medical AI with Eyes, Ears and a Voice EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium A Prompt-Aware Structuring Framework for Reliable Reuse of AI-Generated Content in the Agentic Web PiCA: Pivot-Based Credit Assignment for Search Agentic Reinforcement Learning Beyond Accuracy: Evaluating Strategy Diversity in LLM Mathematical Reasoning Beyond ESG Scores: Learning Dynamic Constraints for Sequential Portfolio Optimization How LLMs Are Persuaded: A Few Attention Heads, Rerouted Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation SKG-VLA: Scene Knowledge Graph Priors for Structured Scene Semantics and Multimodal Reasoning for Decision Making Dsat: A Native SAT Solver for Discrete Logic CHAINTRIX: A multi-pipeline LLM-augmented framework for automated smart-contract security auditing The Wittgensteinian Representation Hypothesis: Is Language the Attractor of Multimodal Convergence? Position: Avoid Overstretching LLMs for every Enterprise Task Towards a Virtual Neuroscientist: Autonomous Neuroimaging Analysis via Multi-Agent Collaboration Explainable Knowledge Tracing via Probabilistic Embeddings and Pattern-based Reasoning NEXUS: Continual Learning of Symbolic Constraints for Safe and Robust Embodied Planning Do Linear Probes Generalize Better in Persona Coordinates? Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning Strategic commitments shape collective cybersecurity under AI inequality From Passive Reuse to Active Reasoning: Grounding Large Language Models for Neuro-Symbolic Experience Replay SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection Don't Click That: Teaching Web Agents to Resist Deceptive Interfaces EpiGraph: A Knowledge Graph and Benchmark for Evidence-Intensive Reasoning in Epilepsy WindINR: Latent-State INR for Fast Local Wind Query and Correction in Complex Terrain A Game Theoretic Free Energy Analysis of Higher Order Synergy in Attention Heads of Large Language Models Weighted Rules under the Stable Model Semantics Functional Stable Model Semantics and Answer Set Programming Modulo Theories Cplus2ASP: Computing Action Language C+ in Answer Set Programming LLM-Guided Monte Carlo Tree Search over Knowledge Graphs: Composing Mechanistic Explanations for Drug-Disease Pairs TIDE-Bench: Task-Aware and Diagnostic Evaluation of Tool-Integrated Reasoning PDEAgent-Bench: A Multi-Metric, Multi-Library Benchmark for PDE Solver Generation Workspace Optimization: How to Train Your Agent CodeClinic: Evaluating Automation of Coding Skills for Clinical Reasoning Agents Absurd World: A Simple Yet Powerful Method to Absurdify the Real-world for Probing LLM Reasoning Capabilities Unpredictability dissociates from structured control in language agents Ambig-DS: A Benchmark for Task-Framing Ambiguity in Data-Science Agents Medical Model Synthesis Architectures: A Case Study Primal-Dual Guided Decoding for Constrained Discrete Diffusion UTS at PsyDefDetect: Multi-Agent Councils and Absence-Based Reasoning for Defense Mechanism Classification Marrying Generative Model of Healthcare Events with Digital Twin of Social Determinants of Health for Disease Reasoning Attribution-based Explanations for Markov Decision Processes EnactToM: An Evolving Benchmark for Functional Theory of Mind in Embodied Agents Yield Curve Forecasting using Machine Learning and Econometrics: A Comparative Analysis The Metacognitive Probe: Five Behavioural Calibration Diagnostics for LLMs Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI When to Re-Commit: Temporal Abstraction Discovery for Long-Horizon Vision-Language Reasoning Cross-Family Universality of Behavioral Axes via Anchor-Projected Representations M2A: Synergizing Mathematical and Agentic Reasoning in Large Language Models The Gordian Knot for VLMs: Diagrammatic Knot Reasoning as a Hard Benchmark Separate First, Fuse Later: Mitigating Cross-Modal Interference in Audio-Visual LLMs Reasoning with Modality-Specific Chain-of-Thought RADAR: Redundancy-Aware Diffusion for Multi-Agent Communication Structure Generation expo: Exploration-prioritized policy optimization via adaptive kl regulation and gaussian curriculum sampling HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution LoopVLA: Learning Sufficiency in Recurrent Refinement for Vision-Language-Action Models Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach Prospective Compression in Human Abstraction Learning Optimizer-Induced Mode Connectivity: From AdamW to Muon From Single-Step Edit Response to Multi-Step Molecular Optimization TimeClaw: A Time-Series AI Agent with Exploratory Execution Learning Route by State, Recover from Trace: STAR with Failure-Aware Markov Routing for Multi-Agent Spatiotemporal Reasoning Strategic Exploitation in LLM Agent Markets: A Simulation Framework for E-Commerce Trust MAGE: Multi-Agent Self-Evolution with Co-Evolutionary Knowledge Graphs Active Testing of Large Language Models via Approximate Neyman Allocation Arcane: An Assertion Reduction Framework through Semantic Clustering and MCTS-Guided Rule Exploring Rethinking Constraint Awareness for Efficient State Embedding of Neural Routing Solver Useful for Exploration, Risky for Precision: Evaluating AI Tools in Academic Research FormalRewardBench: A Benchmark for Formal Theorem Proving Reward Models Benchmarking Safety Risks of Knowledge-Intensive Reasoning under Malicious Knowledge Editing Automated Approach for Solving Infinite-state Polynomial Reachability Games TRACE: Distilling Where It Matters via Token-Routed Self On-Policy Alignment Beyond Autonomy: A Dynamic Tiered AgentRunner Framework for Governable and Resilient Enterprise AI Execution Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery SciIntegrity-Bench: A Benchmark for Evaluating Academic Integrity in AI Scientist Systems Towards Autonomous Railway Operations: A Semi-Hierarchical Deep Reinforcement Learning Approach to the Vehicle Rescheduling Problem E-TCAV: Formalizing Penultimate Proxies for Efficient Concept Based Interpretability IndustryBench: Probing the Industrial Knowledge Boundaries of LLMs AgentRx: A Benchmark Study of LLM Agents for Multimodal Clinical Prediction Tasks Positive Alignment: Artificial Intelligence for Human Flourishing Verifiable Process Rewards for Agentic Reasoning EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents CORTEG: Foundation Models Enable Cross-Modality Representation Transfer from Scalp to Intracranial Brain Recordings PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents TMAS: Scaling Test-Time Compute via Multi-Agent Synergy How Mobile World Model Guides GUI Agents? Agent-ValueBench: A Comprehensive Benchmark for Evaluating Agent Values EGL-SCA: Structural Credit Assignment for Co-Evolving Instructions and Tools in Graph Reasoning Agents Autonomous FAIR Digital Objects: From Passive Assertions to Active Knowledge Agent-X: Full Pipeline Acceleration of On-device AI Agents Agentic Performance at the Edge: Insights from Benchmarking GuardAD: Safeguarding Autonomous Driving MLLMs via Markovian Safety Logic LLM4Branch: Large Language Model for Discovering Efficient Branching Policies of Integer Programs Can Agent Benchmarks Support Their Scores? Evidence-Supported Bounds for Interactive-Agent Evaluation ASIA: an Autonomous System Identification Agent SkillEvolver: Skill Learning as a Meta-Skill SLASH the Sink: Sharpening Structural Attention Inside LLMs Consistency as a Testable Property: Statistical Methods to Evaluate AI Agent Reliability PrimeKG-CL: A Continual Graph Learning Benchmark on Evolving Biomedical Knowledge Graphs A Reflective Storytelling Agent for Older Adults: Integrating Argumentation Schemes and Argument Mining in LLM-Based Personalised Narratives Bridging Sequence and Graph Structure for Epigenetic Age Prediction Agent-First Tool API: A Semantic Interface Paradigm for Enterprise AI Agent Systems Deep Arguing LLM Jaggedness Unlocks Scientific Creativity A Resilient Solution for Sewer Overflow Monitoring across Cloud and Edge LLARS: Enabling Domain Expert & Developer Collaboration for LLM Prompting, Generation and Evaluation Budget-Efficient Automatic Algorithm Design via Code Graph The Open-Box Fallacy: Why AI Deployment Needs a Calibrated Verification Regime PRISM: Generation-Time Detection and Mitigation of Secret Leakage in Multi-Agent LLM Pipelines Hierarchical Causal Abduction: A Foundation Framework for Explainable Model Predictive Control Teacher-Aware Evolution of Heuristic Programs from Learned Optimization Policies Navigating the Sea of LLM Evaluation: Investigating Bias in Toxicity Benchmarks diffGHOST: Diffusion based Generative Hedged Oblivious Synthetic Trajectories Evolving-RL: End-to-End Optimization of Experience-Driven Self-Evolving Capability within Agents GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing The Agent Use of Agent Beings: Agent Cybernetics Is the Missing Science of Foundation Agents MATRA: Modeling the Attack Surface of Agentic AI Systems -- OpenClaw Case Study TrajPrism: A Multi-Task Benchmark for Language-Grounded Urban Trajectory Understanding ComplexMCP: Evaluation of LLM Agents in Dynamic, Interdependent, and Large-Scale Tool Sandbox PathISE: Learning Informative Path Supervision for Knowledge Graph Question Answering Interpretable Machine Learning for Football Performance Analysis: Evidence of Limited Transferability from Elite Leagues to University Competition New AI-Driven Tools for Enhancing Campus Well-being: A Prevention and Intervention Approach Reasoning Is Not Free: Robust Adaptive Cost-Efficient Routing for LLM-as-a-Judge NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation Probing Cross-modal Information Hubs in Audio-Visual LLMs CLEF: EEG Foundation Model for Learning Clinical Semantics MaD Physics: Evaluating information seeking under constraints in physical environments The First Drop of Ink: Nonlinear Impact of Misleading Information in Long-Context Reasoning From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World The Generalized Turing Test: A Foundation for Comparing Intelligence BenchCAD: A Comprehensive, Industry-Standard Benchmark for Programmatic CAD Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory Shepherd: A Runtime Substrate Empowering Meta-Agents with a Formalized Execution Trace Artificial Intelligence in Number Theory: LLMs for Algorithm Generation and Ensemble Methods for Conjecture Verification Rethinking Temporal Consistency in Video Object-Centric Learning: From Prediction to Correspondence A Unified Pair-GRPO Family: From Implicit to Explicit Preference Constraints for Stable and General RL Alignment Delulu: A Verified Multi-Lingual Benchmark for Code Hallucination Detection in Fill-in-the-Middle Tasks Playing Games with My Heart: An Evaluation of AI Companion Apps MedThink: Enhancing Diagnostic Accuracy in Small Models via Teacher-Guided Reasoning Correction Crystal Fractional Graph Neural Network for Energy Prediction of High-Entropy Alloys BaLoRA: Bayesian Low-Rank Adaptation of Large Scale Models TTCD:Transformer Integrated Temporal Causal Discovery from Non-Stationary Time Series Data Context-Augmented Code Generation: How Product Context Improves AI Coding Agent Decision Compliance by 49% The Safety-Aware Denoiser for Text Diffusion Models Feature Repulsion and Spectral Lock-in: An Empirical Study of Two-Layer Network Grokking Towards Universal Gene Regulatory Network Inference: Unlocking Generalizable Regulatory Knowledge in Single-cell Foundation Models VLADriver-RAG: Retrieval-Augmented Vision-Language-Action Models for Autonomous Driving DARE: Diffusion Language Model Activation Reuse for Efficient Inference Benchmarking ResNet Backbones in RT-DETR: Impact of Depth and Regularization under environmental conditions Weight Pruning Amplifies Bias: A Multi-Method Study of Compressed LLMs for Edge AI Intelligent Autonomous Orchestration for Distributed Cloud Resources using Complex-Stability Analysis Forecasting Source Stability in Scientific Experiments using Temporal Learning Models: A Case Study from Tritium Monitoring HoReN: Normalized Hopfield Retrieval for Large-Scale Sequential Model Editing NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training Self-Captioning Multimodal Interaction Tuning: Amplifying Exploitable Redundancies for Robust Vision Language Models VT-Bench: A Unified Benchmark for Visual-Tabular Multi-Modal Learning SPECTRE: Hybrid Ordinary-Parallel Speculative Serving for Resource-Efficient LLM Inference Privacy-Preserving Federated Learning: Integrating Zero-Knowledge Proofs in Scalable Distributed Architectures LAGO: Language-Guided Adaptive Object-Region Focus for Zero-Shot Visual-Text Alignment HY-Himmel Technical Report: Hierarchical Interleaved Multi-stream Motion Encoding for Long Video Understanding WATCH: Wide-Area Archaeological Site Tracking for Change Detection MULTITEXTEDIT: Benchmarking Cross-Lingual Degradation in Text-in-Image Editing parHSOM: A novel parallel Hierarchical Self-Organizing Map implementation Digital Image Forgery Detection Using Transfer Learning Understanding Asynchronous Inference Methods for Vision-Language-Action Models Optimized Culprit Identification Using Mobilenet and Attention Mechanisms Communication Dynamics Neural Networks: FFT-Diagonalized Layers for Improved Hessian Conditioning at Reduced Parameter Count CERSA: Cumulative Energy-Retaining Subspace Adaptation for Memory-Efficient Fine-Tuning KARMA-MV: A Benchmark for Causal Question Answering on Music Videos Echo-LoRA: Parameter-Efficient Fine-Tuning via Cross-Layer Representation Injection Generalized Category Discovery in Federated Graph Learning Information Density as a Quantitative Measure for AI-enabled Virtual Sensing: Feasibility and Limits Text-Guided Multi-Scale Frequency Representation Adaptation Quantile Geometry Regularization for Distributional Reinforcement Learning Improving TMS EEG Signal Quality for Closed-Loop Neuro Stimulation via Source-Domain Denoising From Ontology Conformance to Admissible Reconfiguration: A RoSO/SMGI Adequacy Argument for Robotic Service Governance Rethinking Entropy Minimization in Test-Time Adaptation for Autoregressive Models Neuroscience-Inspired Analyses of Visual Interestingness in Multimodal Transformers A Robust Out-of-Distribution Detection Framework via Synergistic Smoothing NeurIPS Should Require Reproducibility Standards for Frontier AI Safety Claims Normalization Equivariance for Arbitrary Backbones, with Application to Image Denoising ReplaySCM: A Benchmark for Executable Causal Mechanism Induction from Interventions FairHealth: An Open-Source Python Library for Trustworthy Healthcare AI in Low-Resource Settings Weakly Supervised Concept Learning for Object-centric Visual Reasoning Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning Bangla-WhisperDiar: Fine-Tuning Whisper and PyAnnote for Bangla Long-Form Speech Recognition and Speaker Diarization NoisyCoconut: Counterfactual Consensus via Latent Space Reasoning From Historical Tabular Image to Knowledge Graphs: A Provenance-Aware Modular Pipeline TRAM: Training Approximate Multiplier Structures for Low-Power AI Accelerators When Does Value-Aware KV Eviction Help? A Fixed-Contract Diagnostic for Non-Monotone Cache Compression Resource-Aware Evolutionary Neural Architecture Search for Cardiac MRI Segmentation TinySSL: Distilled Self-Supervised Pretraining for Sub-Megabyte MCU Models An Explainable Unsupervised-to-Supervised Machine Learning Framework for Dietary Pattern Discovery Using UK National Dietary Survey Data When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models LLM Translation of Compiler Intermediate Representation Why Do DiT Editors Drift? Plug-and-Play Low Frequency Alignment in VAE Latent Space Path-Coupled Bellman Flows for Distributional Reinforcement Learning HyperTransport: Amortized Conditioning of T2I Generative Models Can LLMs Predict Polymer Physics Just by Reading Synthesis and Processing Prose? Research on Security Enhancement Methods for Adversarial Robust Large Language Model Intelligent Agents for Medical Decision-Making Tasks Computer Use at the Edge of the Statistical Precipice SLayerGen: a Crystal Generative Model for all Space and Layer Groups Execution Envelopes: A Shared Admission Contract for Backend AI Execution Requests Insider Attacks in Multi-Agent LLM Consensus Systems SAFformer:Improving Spiking Transformer via Active Predictive Filtering Bridging Modalities, Spanning Time: Structured Memory for Ultra-Long Agentic Video Reasoning Efficient Prompt Learning for Traffic Forecasting Mitigating Many-shot Jailbreak Attacks with One Single Demonstration Trapping Attacker in Dilemma: Examining Internal Correlations and External Influences of Trigger for Defending GNN Backdoors LaWM: Least Action World Models for Long-Horizon Physical Consistency from Visual Observations Beyond the False Trade-off: Adaptive EWC for Stealthy and Generalizable T2I Backdoors A Paired Point-of-Care Ultrasound Dataset for Image Quality Enhancement and Benchmarking via a cGAN Baseline HTPO: Towards Exploration-Exploitation Balanced Policy Optimization via Hierarchical Token-level Objective Control Diagnosing Spectral Ceilings in Equivariant Neural Force Fields Multi-Armed Bandits With Best-Action Queries UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable Dependencies Toward Optimal Regret in Robust Pricing: Decoupling Corruption and Time Graph Computation Meets Circuit Algebra: A Task-Aligned Analysis of Graph Neural Networks for Electronic Design Automation Hierarchical Mixture-of-Experts with Two-Stage Optimization In-Context Fixation: When Demonstrated Labels Override Semantics in Few-Shot Classification A Qualitative Test-Risk Mechanism for Scaling Behavior in Normalized Residual Networks What Cohort INRs Encode and Where to Freeze Them Do not copy and paste! Rewriting strategies for code retrieval mHC-SSM: Manifold-Constrained Hyper-Connections for State Space Language Models with Stream-Specialized Adapters Priming: Hybrid State Space Models From Pre-trained Transformers SGC-RML: A reliable and interpretable longitudinal assessment for PD in real-world DNS GNN for Structural Displacement Prediction LLMSYS-HPOBench: Hyperparameter Optimization Benchmark Suite for Real-World LLM Systems Practical Wi-Fi-based Motion Recognition Under Variable Traffic Patterns WebTrap: Stealthy Mid-Task Hijacking of Browser Agents During Navigation Seed Hijacking of LLM Sampling and Quantum Random Number Defense FlashSVD v1.5: Making Low-Rank Transformers Inference Actually Fast RDKV: Rate-Distortion Bit Allocation for Joint Eviction and Quantization of the KV Cache When Attention Beats Fourier: Multi-Scale Transformers for PDE Solving on Irregular Domains Mazocarta: A Seeded Procedural Deckbuilder for Instrumented Game Development LLM Wardens: Mitigating Adversarial Persuasion with Third-Party Conversational Oversight SDG-MoE: Signed Debate Graph Mixture-of-Experts The Reciprocity Gradient FQPDR: Federated Quantum Neural Network for Privacy-preserving Early Detection of Diabetic Retinopathy CAMAL: Improving Attention Alignment and Faithfulness with Segmentation Masks LLM Advertisement based on Neuron Auctions Interactive Critique-Revision Training for Reliable Structured LLM Generation Optimal FALQON for Quantum Approximate Optimization via Layer-wise Parameter Tuning CDS4RAG: Cyclic Dual-Sequential Hyperparameter Optimization for RAG Sanity Checks for Long-Form Hallucination Detection NeuroGAN-3D: Enhancing Intrinsic Functional Brain Networks via High-Fidelity 3D Generative Super-Resolution Reinforcement Learning for Scalable and Trustworthy Intelligent Systems What Software Engineering Looks Like to AI Agents? -- An Empirical Study of AI-Only Technical Discourse on MoltBook Decoupling Endpoint and Semantic Transition Learning for Zero-Shot Composed Image Retrieval AIPO: : Learning to Reason from Active Interaction Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models Effective Explanations Support Planning Under Uncertainty Mechanism Design Is Not Enough: Prosocial Agents for Cooperative AI A Semantic-Sampling Framework for Evaluating Calibration in Open-Ended Question Answering A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds Magis-Bench: Evaluating LLMs on Magistrate-Level Legal Tasks DUET: Optimize Token-Budget Allocation for Reinforcement Learning with Verifiable Rewards Defense effectiveness across architectural layers: a mechanistic evaluation of persistent memory attacks on stateful LLM agents Zero-shot Imitation Learning by Latent Topology Mapping Sink vs. diagonal patterns as mechanisms for attention switch and oversmoothing prevention Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency When Child Inherits: Modeling and Exploiting Subagent Spawn in Multi-Agent Networks Do Benchmarks Underestimate LLM Performance? Evaluating Hallucination Detection With LLM-First Human-Adjudicated Assessment PYTHALAB-MERA: Validation-Grounded Memory, Retrieval, and Acceptance Control for Frozen-LLM Coding Agents Transformers Can Implement Preconditioned Richardson Iteration for In-Context Gaussian Kernel Regression MathConstraint: Automated Generation of Verified Combinatorial Reasoning Instances for LLMs Multi-Level Graph Attention Network Contrastive Learning for Knowledge-Aware Recommendation Scaling Limits of Long-Context Transformers A Single Neuron Is Sufficient to Bypass Safety Alignment in Large Language Models MARLaaS: Multi-Tenant Asynchronous Reinforcement Learning as a Service Continuity Laws for Sequential Models VeriContest: A Competitive-Programming Benchmark for Verifiable Code Generation MC-RFM: Geometry-Aware Few-Shot Adaptation via Mixed-Curvature Riemannian Flow Matching ZAYA1-VL-8B Technical Report Uncovering Intra-expert Activation Sparsity for Efficient Mixture-of-Expert Model Execution Probing the Impact of Scale on Data-Efficient, Generalist Transformer World Models for Atari Slipstream: Trajectory-Grounded Compaction Validation for Long-Horizon Agents PromptDx: Differentiable Prompt Tuning for Multimodal In-Context Alzheimer's Diagnosis Kaczmarz Linear Attention Causal Stories from Sensor Traces: Auditing Epistemic Overreach in LLM-Generated Personal Sensing Explanations Lattice Deduction Transformers Reasoning-Aware Training for Time Series Forecasting PARD-2: Target-Aligned Parallel Draft Model for Dual-Mode Speculative Decoding Geometry Guided Self-Consistency for Physical AI AgentCollabBench: Diagnosing When Good Agents Make Bad Collaborators Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection Fitting Multilinear Polynomials for Logic Gate Networks Sketch-and-Verify: Structured Inference-Time Scaling via Program Sketching Explanation Fairness in Large Language Models: An Empirical Analysis of Disparities in How LLMs Justify Decisions Across Demographic Groups Attention-based graph neural networks: a survey Semantic Voting: Execution-Grounded Consensus for LLM Code Generation Core-Halo Decomposition: Decentralizing Large-Scale Fixed-Point Problems Event Fields: Learning Latent Event Structure for Waveform Foundation Models PrepBench: How Far Are We from Natural-Language-Driven Data Preparation? Structure-Centric Graph Foundation Model via Geometric Bases Gate-and-Merge: Zero-shot Compositional Personalization of Vision Language Models REAP: Reinforcement-Learning End-to-End Autonomous Parking with Gaussian Splatting Simulator for Real2Sim2Real Transfer AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems Debugging the Debuggers: Failure-Anchored Structured Recovery for Software Engineering Agents Control Your View: High-Resolution Global Semantic Manipulation in Learned Image Compression AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training Causal Dimensionality of Transformer Representations: Measurement, Scaling, and Layer Structure Narrative Landscape: Mapping Narrative Dispositions Across LLMs MeshFIM: Local Low-Poly Mesh Editing via Fill-in-the-Middle Autoregressive Generation Communicating Sound Through Natural Language Omni-scale Learning-based Sequential Decision Framework for Order Fulfillment of Tote-handling Robotic Systems Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning A Reconfigurable Multiplier Architecture for Error-Resilient Applications in RISC-V Core cuRegOT: A GPU-Accelerated Solver for Entropic-Regularized Optimal Transport Deterministic Decomposition of Stochastic Generative Dynamics PPU-Bench:Real World Benchmark for Personalized Partial Unlearning in Vision Language Models Curvature-Aware Captioning:Leveraging Geodesic Attention for 3D Scene Understanding SimReg: Achieving Higher Performance in the Pretraining via Embedding Similarity Regularization Compressed Video Aggregator: Content-driven Module for Efficient Micro-Video Recommendation FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence VECTOR-Drive: Tightly Coupled Vision-Language and Trajectory Expert Routing for End-to-End Autonomous Driving The Grounding Gap: How LLMs Anchor the Meaning of Abstract Concepts Differently from Humans Generating Leakage-Free Benchmarks for Robust RAG Evaluation Geometrically Constrained Stenosis Editing in Coronary Angiography via Entropic Optimal Transport BubbleSpec: Turning Long-Tail Bubbles into Speculative Rollout Drafts for Synchronous Reinforcement Learning Why Do Aligned LLMs Remain Jailbreakable: Refusal-Escape Directions, Operator-Level Sources, and Safety-Utility Trade-off Fitting Is Not Enough: Smoothness in Extremely Quantized LLMs FragileFlow: Spectral Control of Correct-but-Fragile Predictions for Foundation Model Robustness Shapley Regression for Rare Disease Diagnosis Support: a case study on APDS LLM-Agnostic Semantic Representation Attack DAPE: Dynamic Non-uniform Alignment and Progressive Detail Enhancement Techniques for Improving the Performance of Efficient Visual Language Models Transformer autoencoder with local attention for sparse and irregular time series with application on risk estimation Improving Lexical Difficulty Prediction with Context-Aligned Contrastive Learning and Ridge Ensembling MolWorld: Molecule World Models for Actionable Molecular Optimization Extrusion Segmentation Strategy to improve CAD Reconstruction from Point Cloud Tracking the Truth: Object-Centric Spatio-Temporal Monitoring for Video Large Language Models Benchmarking Compositional Generalisation for Machine Learning Interatomic Potentials CT-IDP: Segmentation-Derived Quantitative Phenotypes for Interpretable Abdominal CT Disease Classification Towards Backdoor-Based Ownership Verification for Vision-Language-Action Models Large Language Models for Sequential Decision-Making: Improving In-Context Learning via Supervised Fine-Tuning A Geometric Perspective on Next-Token Prediction in Large Language Models: Three Emerging Phases Evolutionary Ensemble of Agents A Quantum Inspired Variational Kernel and Explainable AI Framework for Cross Region Solar and Wind Energy Forecasting ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts Phase Transitions in Affective Meaning Divergence: The Hidden Drift Before the Break Octopus Protocol: One-Shot Hardware Discovery and Control for AI Agents via Infrastructure-as-Prompts Single-Configuration Attack Success Rate Is Not Enough: Jailbreak Evaluations Should Report Distributional Attack Success Robust Multi-Agent LLMs under Byzantine Faults FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Field-Localized Forgery Detection for Digital Identity Documents Investigating Anisotropy in Visual Grounding under Controlled Counterfactual Perturbations Contextual Plackett-Luce: An Efficient Neural Model for Probabilistic Sequence Selection under Ambiguity AI Native Asset Intelligence Personalized Alignment Revisited: The Necessity and Sufficiency of User Diversity A Communication-Theoretic Framework for LLM Agents: Cost-Aware Adaptive Reliability Internal vs. External: Comparing Deliberation and Evolution for Multi-Agent Constitutional Design From Traditional Taggers to LLMs: A Comparative Study of POS Tagging for Medieval Romance Languages Beyond Self-Play: Hierarchical Reasoning for Continuous Motion in Closed-Loop Traffic Simulation Lost in Translation? Exploring the Shift in Grammatical Gender from Latin to Occitan Revisiting Mixture Policies in Entropy-Regularized Actor-Critic WorldSpeech: A Multilingual Speech Corpus from Around the World Prediction Bottlenecks Don't Discover Causal Structure (But Here's What They Actually Do) WavesFM: Hierarchical Representation Learning for Longitudinal Wearable Sensor Waveforms Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers DARE: Difficulty-Adaptive Reinforcement Learning with Co-Evolved Difficulty Estimation RigidFormer: Learning Rigid Dynamics using Transformers Select-then-differentiate: Solving Bilevel Optimization with Manifold Lower-level Solution Sets Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability Flame3D: Zero-shot Compositional Reasoning of 3D Scenes with Agentic Language Models The Pok\'emon Theorem and other Fairness Impossibility Results Detect, Localize, and Explain: Interactive Hierarchical Log Anomaly Analytics with LLM Augmentation The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security Beyond Binary Scoring ProactBench: Beyond What The User Asked For Towards Robust Sequential Decomposition for Complex Image Editing On Variance Reduction in Learning Mean Flows Matching Meaning at Scale: Evaluating Semantic Search for 18th-Century Intellectual History through the Case of Locke Intrinsic Muon: Spectral Optimization on Riemannian Matrix Manifolds Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation Improving Generalization by Permutation Routing Across Model Copies Monocular Biomechanical Tracking of Fingers with Inverse Kinematics to Foundation Models Remix the Timbre: Diffusion-Based Style Transfer Across Polyphonic Stems Beyond Continuity: Challenges of Context Switching in Multi-Turn Dialogue with LLMs Memorize Theorems, Not Instances: Probing SFT Generalization through Mathematical Reasoning Semi-Supervised Neural Super-Resolution for Mesh-Based Simulations MC$^2$: Monte Carlo Correction for Fast Elliptic PDE Solving Towards Effective Theory of LLMs: A Representation Learning Approach Micro-Defects Expose Macro-Fakes: Detecting AI-Generated Images via Local Distributional Shifts Neural Cluster First, Route Second: One-Shot Capacitated Vehicle Routing via Differentiable Optimal Transport Hierarchical Attention-based Graph Neural Network with Relevance-driven Pruning Teaching Molecular Dynamics to a Non-Autoregressive Ionic Transport Predictor Neural Information Causality The Trap of Trajectory: Towards Understanding and Mitigating Spurious Correlations in Agentic Memory Perceptual Asymmetry Between Hue Categories: Evidence from Human Color Categorization RuPLaR : Efficient Latent Compression of LLM Reasoning Chains with Rule-Based Priors From Multi-Step to One-Step HOME-KGQA: A Benchmark Dataset for Multimodal Knowledge Graph Question Answering on Household Daily Activities Skill-R1: Agent Skill Evolution via Reinforcement Learning Your Simulation Runs but Solves the Wrong Physics: PDE-Grounded Intent Verification for LLM-Generated Multiphysics Simulation Code From Detection to Recovery: Operational Analysis on LLM Pre-training with 504 GPUs EduStory: A Unified Framework for Pedagogically-Consistent Multi-Shot STEM Instructional Video Generation LiteMedCoT-VL: Parameter-Efficient Adaptation for Medical Visual Question Answering Kinetic-Optimal Scheduling with Moment Correction for Metric-Induced Discrete Flow Matching in Zero-Shot Text-to-Speech Sparsity Moves Computation: How FFN Architecture Reshapes Attention in Small Transformers RePO-VLA: Recovery-Driven Policy Optimization for Vision-Language-Action Models Relational Retrieval: Leveraging Known-Novel Interactions for Generalized Category Discovery AtteConDA: Attention-Based Conflict Suppression in Multi-Condition Diffusion Models and Synthetic Data Augmentation Evading Visual Aphasia: Contrastive Adaptive Semantic Token Pruning for Vision-Language Models Key Coverage Matters: Semi-Structured Extraction of OCR Clinical Reports SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation RAwR: Role-Aware Rewiring via Approximate Equitable Partition When Few Steps Are Enough: Training-Free Acceleration of Identity-Preserved Generation Align and Shine: Building High-Quality Sentence-Aligned Corpora for Multilingual Text Simplification Outlier-Robust Diffusion Solvers for Inverse Problems A Cognitively Grounded Bayesian Framework for Misinformation Susceptibility CTQWformer: A CTQW-based Transformer for Graph Classification APCD: Adaptive Path-Contrastive Decoding for Reliable Large Language Model Generation LASSA Architecture-Based Autonomous Fault-Tolerant Control of Unmanned Underwater Vehicles Spectral Transformer Neural Processes Hidden Error Awareness in Chain-of-Thought Reasoning: The Signal Is Diagnostic, Not Causal Position: AI Security Policy Should Target Systems, Not Models Mixture of Layers with Hybrid Attention Assessment of RAG and Fine-Tuning for Industrial Question-Answering-Applications Governing AI-Assisted Security Operations: A Design Science Framework for Operational Decision Support TAD: Temporal-Aware Trajectory Self-Distillation for Fast and Accurate Diffusion LLM PhysHanDI: Physics-Based Reconstruction of Hand-Deformable Object Interactions KAN Text to Vision? The Exploration of Kolmogorov-Arnold Networks for Multi-Scale Sequence-Based Pose Animation from Sign Language Notation Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics Efficient Ensemble Selection from Binary and Pairwise Feedback SmartEval: A Benchmark for Evaluating LLM-Generated Smart Contracts from Natural Language Specifications Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study Adaptive DNN Partitioning and Offloading in Heterogeneous Edge-Cloud Continuum RDEx-CASK: Cauchy Mutation, Archive, and Stagnation Kick for RDEx-CSOP MedMeta: A Benchmark for LLMs in Synthesizing Meta-Analysis Conclusion from Medical Studies Causal Parametric Drift Simulation: A Digital Twin Framework for Classifier Robustness Evaluation Learning Multi-Indicator Weights for Data Selection: A Joint Task-Model Adaptation Framework with Efficient Proxies Rethinking Evaluation of Multiple Sclerosis (MS) Lesion Segmentation Models S2P-Net: A Spectral-Spatial Polar Network for Rotation-Invariant Object Recognition in Low-Data Regimes ChaosNetBench: Benchmarking Spatio-Temporal Graph Neural Networks on Chaotic Lattice Dynamics DeepTumorVQA: A Hierarchical 3D CT Benchmark for Stage-Wise Evaluation of Medical VLMs and Tool-Augmented Agents MonitoringBench: Semi-Automated Red-Teaming for Agent Monitoring Learning Unified Representations of Normalcy for Time Series Anomaly Detection Do multimodal models imagine electric sheep? Adaptive Data Harvesting for Efficient Neural Network Learning with Universal Constraints Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon Distilling 3D Spatial Reasoning into a Lightweight Vision-Language Model with CoT Security Risks in Tool-Enabled AI Agents: A Systematic Analysis of Privileged Execution Environments One for All: A Non-Linear Transformer can Enable Cross-Domain Generalization for In-Context Reinforcement Learning Trajectory Supervision for Continual Tool-Use Learning in LLMs KV-RM: Regularizing KV-Cache Movement for Static-Graph LLM Serving The Silent Vote: Improving Zero-Shot LLM Reliability by Aggregating Semantic Neighborhoods TIDES: Implicit Time-Awareness in Selective State Space Models Entropy-informed Decoding: Adaptive Information-Driven Branching Sequential Feature Selection for Efficient Landslide Segmentation from Multi-Spectral Data LEVI: Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search WISTERIA: Learning Clinical Representations from Noisy Supervision via Multi-View Consistency in Electronic Health Records Exploitation Without Deception: Dark Triad Feature Steering Reveals Separable Antisocial Circuits in Language Models EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution Multi-Tier Labeling and Physics-Informed Learning for Orbital Anomaly Detection at Scale CrossVL: Complexity-Aware Feature Routing and Paired Curriculum for Cross-View Vision-Language Detection Insight: Enhancing Mobile Accessibility for Blind and Visually Impaired Users with LLMs LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models Oracle Poisoning: Corrupting Knowledge Graphs to Weaponise AI Agent Reasoning CalBench: Evaluating Coordination-Privacy Trade-offs in Multi-Agent LLMs Pretraining large language models with MXFP4 Fashion Florence: Fine-Tuning Florence-2 for Structured Fashion Attribute Extraction Free Energy Manifold: Score-Based Inference for Hybrid Bayesian Networks ChladniSonify: A Visual-Acoustic Mapping Method for Chladni Patterns in New Media Art Creation Probing Routing-Conditional Calibration in Attention-Residual Transformers MoPO: Incorporating Motion Prior for Occluded Human Mesh Recovery Flag Varieties: A Geometric Framework for Deep Network Alignment UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning Nautilus Compass: Black-box Persona Drift Detection for Production LLM Agents Continuous Latent Contexts Enable Efficient Online Learning in Transformers Intervention-Based Time Series Causal Discovery via Simulator-Generated Interventional Distributions EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding Key-Value Means The Cartesian Shortcut: Re-evaluate Vision Reasoning in Polar Coordinate Space The Geometric Wall: Manifold Structure Predicts Layerwise Sparse Autoencoder Scaling Laws Pseudo-Deliberation in Language Models: When Reasoning Fails to Align Values and Actions Hyperbolic Distillation: Geometry-Guided Cross-Modal Transfer for Robust 3D Object Detection Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging Voice Biomarkers for Depression and Anxiety Position: Academic Conferences are Potentially Facing Denominator Gaming Caused by Fully Automated Scientific Agents NaiAD: Initiate Data-Driven Research for LLM Advertising Verifier-Free RL for LLMs via Intrinsic Gradient-Norm Reward Team-Based Self-Play With Dual Adaptive Weighting for Fine-Tuning LLMs PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Novel GPU Boruta algorithms for feature selection from high-dimensional data SDTalk: Structured Facial Priors and Dual-Branch Motion Fields for Generalizable Gaussian Talking Head Synthesis G-Zero: Self-Play for Open-Ended Generation from Zero Data HapticLDM: A Diffusion Model for Text-to-Vibrotactile Generation GLiNER2-PII: A Multilingual Model for Personally Identifiable Information Extraction Yeti: A compact protein structure tokenizer for reconstruction and multi-modal generation Geometric 4D Stitching for Grounded 4D Generation Attention Drift: What Autoregressive Speculative Decoding Models Learn Continual Harness: Online Adaptation for Self-Improving Foundation Agents Combining Mechanical and Agentic Specification Inference for Move The two clocks and the innovation window: When and how generative models learn rules Medical Incident Causal Factors and Preventive Measures Generation Using Tag-based Example Selection in Few-shot Learning Speech-based Psychological Crisis Assessment using LLMs Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RAN Personalizing LLMs with Binary Feedback: A Preference-Corrected Optimization Framework Adaptive Action Chunking via Multi-Chunk Q Value Estimation Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View Guided Streaming Stochastic Interpolant Policy Swarm Skills: A Portable, Self-Evolving Multi-Agent System Specification for Coordination Engineering Not-So-Strange Love: Language Models and Generative Linguistic Theories are More Compatible than They Appear NCO: A Versatile Plug-in for Handling Negative Constraints in Decoding Metis: Learning to Jailbreak LLMs via Self-Evolving Metacognitive Policy Optimization PoDAR: Power-Disentangled Audio Representation for Generative Modeling Retrieve-then-Steer: Online Success Memory for Test-Time Adaptation of Generative VLAs HYPERPOSE: Hyperbolic Kinematic Phase-Space Attention for 3D Human Pose Estimation ViSRA: A Video-based Spatial Reasoning Agent for Multi-modal Large Language Models CFSPMNet: Cross-subject Fourier-guided Spatial-Patch Mamba Network for EEG Motor Imagery Decoding in Stroke Patients Think as Needed: Geometry-Driven Adaptive Perception for Autonomous Driving MicroWorld: Empowering Multimodal Large Language Models to Bridge the Microscopic Domain Gap with Multimodal Attribute Graph Explainability of Recurrent Neural Networks for Enhancing P300-based Brain-Computer Interfaces Scaling Vision Models Does Not Consistently Improve Localisation-Based Explanation Quality Coarsening Linear Non-Gaussian Causal Models with Cycles Task-Agnostic Noisy Label Detection via Standardized Loss Aggregation When Reviews Disagree: Fine-Grained Contradiction Analysis in Scientific Peer Reviews When Prompts Become Payloads: A Framework for Mitigating SQL Injection Attacks in Large Language Model-Driven Applications MTA-RL: Robust Urban Driving via Multi-modal Transformer-based 3D Affordances and Reinforcement Learning One-Step Graph-Structured Neural Flows for Irregular Multivariate Time Series Classification A Comparative Study of Machine Learning and Deep Learning for Out-of-Distribution Detection Developing a foundation model for high-resolution remote sensing data of the Netherlands DynGhost: Temporally-Modelled Transformer for Dynamic Ghost Imaging with Quantum Detectors LegalCiteBench: Evaluating Citation Reliability in Legal Language Models ProteinOPD: Towards Effective and Efficient Preference Alignment for Protein Design Empty SPACE: Cross-Attention Sparsity for Concept Erasure in Diffusion Models HeteroGenManip: Generalizable Manipulation For Heterogeneous Object Interactions To Redact, or not to Redact? A Local LLM Approach to Deliberative Process Privilege Classification When Does Non-Uniform Replay Matter in Reinforcement Learning? When Normality Shifts: Risk-Aware Test-Time Adaptation for Unsupervised Tabular Anomaly Detection Knowledge Poisoning Attacks on Medical Multi-Modal Retrieval-Augmented Generation A Cold Diffusion Approach for Percussive Dereverberation MemReread: Enhancing Agentic Long-Context Reasoning via Memory-Guided Rereading DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models Drum Synthesis from Expressive Drum Grids via Neural Audio Codecs Generative AI Fuels Solo Entrepreneurship, but Teams Still Lead at the Top LeapTS: Rethinking Time Series Forecasting as Adaptive Multi-Horizon Scheduling Robust Probabilistic Shielding for Safe Offline Reinforcement Learning Qwen Goes Brrr: Off-the-Shelf RAG for Ukrainian Multi-Domain Document Understanding Active Tabular Augmentation via Policy-Guided Diffusion Inpainting Relations Are Channels: Knowledge Graph Embedding via Kraus Decompositions SCALAR: A Neurosymbolic Framework for Automated Conjecture and Reasoning in Quantum Circuit Analysis PowerStep: Memory-Efficient Adaptive Optimization via $\ell_p$-Norm Steepest Descent EvoStreaming: Your Offline Video Model Is a Natively Streaming Assistant Portable Active Learning for Object Detection RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild Phoenix-VL 1.5 Medium Technical Report AnomalyClaw: A Universal Visual Anomaly Detection Agent via Tool-Grounded Refutation Every finite group admits a just finite presentation Can Language Models Analyze Data? Evaluating Large Language Models for Question Answering over Datasets Toward an Engineering of Science: Rebalancing Generation and Verification in the Age of AI CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving Physical probes expose and alleviate chemical-environment collapse in molecular representations Real vs. Semi-Simulated: Rethinking Evaluation for Treatment Effect Estimation StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs Statistical Model Checking of the Keynes+Schumpeter Model: A Transient Sensitivity Analysis of a Macroeconomic ABM Cavity-Enhanced Collective Quantum Processing with Polarization-Encoded Qubits Formally Verifying Analog Neural Networks Under Process Variations Using Polynomial Zonotopes DeepRefine: Agent-Compiled Knowledge Refinement via Reinforcement Learning Multi-layer attentive probing improves transfer of audio representations for bioacoustics Simultaneous Long-tailed Recognition and Multi-modal Fusion for Highly Imbalanced Multi-modal Data CMKL: Modality-Aware Continual Learning for Evolving Biomedical Knowledge Graphs SoK: A Systematic Bidirectional Literature Review of AI & DLT Convergence Infinite Mask Diffusion for Few-Step Distillation DuetFair: Coupling Inter- and Intra-Subgroup Robustness for Fair Medical Image Segmentation HH-SAE: Discovering and Steering Hierarchical Knowledge of Complex Manifolds ThreatCore: A Benchmark for Explicit and Implicit Threat Detection Acceptance Cards:A Four-Diagnostic Standard for Safe Fine-Tuning Defense Claims SenseBench: A Benchmark for Remote Sensing Low-Level Visual Perception and Description in Large Vision-Language Models Guaranteed Jailbreaking Defense via Disrupt-and-Rectify Smoothing An agentic framework for gravitational-wave counterpart association in the multi-messenger era CrackMeBench: Binary Reverse Engineering for Agents Fairness vs Performance: Characterizing the Pareto Frontier of Algorithmic Decision Systems Measuring Embedding Sensitivity to Authorial Style in French: Comparing Literary Texts with Language Model Rewritings Re-Triggering Safeguards within LLMs for Jailbreak Detection Interpretable Coreference Resolution Evaluation Using Explicit Semantics Intrinsic Guardrails: How Semantic Geometry of Personality Interacts with Emergent Misalignment in LLMs Towards Understanding Continual Factual Knowledge Acquisition of Language Models: From Theory to Algorithm LLaVA-CKD: Bottom-Up Cascaded Knowledge Distillation for Vision-Language Models A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables Active Learning for Gaussian Process Regression Under Self-Induced Boltzmann Weights When Can Digital Personas Reliably Approximate Human Survey Findings? bViT: Investigating Single-Block Recurrence in Vision Transformers for Image Recognition Prompt-Activation Duality: Improving Activation Steering via Attention-Level Interventions Step Rejection Fine-Tuning: A Practical Distillation Recipe Is Data Shapley Not Better than Random in Data Selection? Ask NASH The Bystander Effect in Multi-Agent Reasoning: Quantifying Cognitive Loafing in Collaborative Interactions Why Low-Resource NLP Needs More Than Cross-Lingual Transfer: Lessons Learned from Luxembourgish An Uncertainty-Aware Resilience Micro-Agent for Causal Observability in the Computing Continuum AllocMV: Optimal Resource Allocation for Music Video Generation via Structured Persistent State iPay: Integrated Payment Action Recognition via Multimodal Networks and Adaptive Spatial Prior Learning Geospatial-Temporal Sensemaking of Remote Sensing Activity Detections with Multimodal Large Language Model Provable Sparse Inversion and Token Relabel Enhanced One-shot Federated Learning with ViTs GridProbe: Posterior-Probing for Adaptive Test-Time Compute in Long-Video VLMs Break the Brake, Not the Wheel: Untargeted Jailbreak via Entropy Maximization Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation Towards a Large Language-Vision Question Answering Model for MSTAR Automatic Target Recognition Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenizatio Can You Keep a Secret? Involuntary Information Leakage in Language Model Writing The Last Word Often Wins: A Format Confound in Chain-of-Thought Corruption Studies PhyGround: Benchmarking Physical Reasoning in Generative World Models Threat Modelling using Domain-Adapted Language Models: Empirical Evaluation and Insights Switching-Geometry Analysis of Deflated Q-Value Iteration Policy Gradient Methods for Non-Markovian Reinforcement Learning ALAM: Algebraically Consistent Latent Transitions for Vision-Language-Action Models SLIM: Sparse Latent Steering for Interpretable and Property-Directed LLM-Based Molecular Editing MMVIAD: Multi-view Multi-task Video Understanding for Industrial Anomaly Detection Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories Training-Free Cultural Alignment of Large Language Models via Persona Disagreement Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient? BEACON: A Multimodal Dataset for Learning Behavioral Fingerprints from Gameplay Data Attractor-Vascular Coupling Theory: Formal Grounding and Empirical Validation for AAMI-Standard Cuffless Blood Pressure Estimation from Smartphone Photoplethysmography CADBench: A Multimodal Benchmark for AI-Assisted CAD Program Generation AssayBench: An Assay-Level Virtual Cell Benchmark for LLMs and Agents LoKA: Low-precision Kernel Applications for Recommendation Models At Scale Shields to Guarantee Probabilistic Safety in MDPs Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why DataMaster: Towards Autonomous Data Engineering for Machine Learning Engineering Robustness into Personal Agents with the AI Workflow Store Confidence-Guided Diffusion Augmentation for Enhanced Bangla Compound Character Recognition Variational Inference for L\'evy Process-Driven SDEs via Neural Tilting ELF: Embedded Language Flows Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark DSGBench: A Diverse Strategic Game Benchmark for Evaluating LLM-based Agents in Complex Decision-Making Environments Leveraging LLMs to Automate Energy-Aware Refactoring of Parallel Scientific Codes LLM-Augmented Chemical Synthesis and Design Decision Programs Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner Efficient LLM Collaboration via Planning HAMLET: A Hierarchical and Adaptive Multi-Agent Framework for Live Embodied Theatrics Your Recourse, My Loss? Algorithmic Recourse under Shared Constraints Explicit Reasoning Makes Better Judges: A Systematic Study on Accuracy, Efficiency, and Robustness Model Merging Scaling Laws in Large Language Models Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark Measure what Matters: Psychometric Evaluation of AI with Situational Judgment Tests Consensus Sampling for Safer Generative AI Counting Still Counts: Understanding Neural Complex Query Answering Through Query Relaxation A Benchmark for Evaluating Outcome-Driven Constraint Violations in Autonomous AI Agents Recursive Language Models Batch-of-Thought: Cross-Instance Learning for Enhanced LLM Reasoning The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety Expert Evaluation and the Limits of Human Feedback in Mental Health AI Safety Testing Concise Geometric Description as a Bridge: Unleashing the Potential of LLM for Plane Geometry Problem Solving Emergence of Physical Intelligence via Controllable Information Production SayNext-Bench: Why Do LLMs Struggle with Next-Utterance Anticipation? Context Learning for Multi-Agent Discussion TodyComm: Task-Oriented Dynamic Communication for Multi-Round LLM-based Multi-Agent System Agent-Omit: Adaptive Context Omission for Efficient LLM Agents When Agents Say One Thing and Do Another: Validating Elicited Beliefs from LLMs HyPER: Bridging Exploration and Exploitation for Scalable LLM Reasoning with Hypothesis Path Expansion and Reduction MePo: Meta Post-Refinement for Rehearsal-Free General Continual Learning Revis: Sparse Latent Steering to Mitigate Object Hallucination in Large Vision-Language Models VeRO: An Evaluation Harness for Agents to Optimize Agents Metacognitive Behavioral Tuning of Large Language Models for Multi-Hop Question Answering General Agent Evaluation PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering Interactive Benchmarks Breaking Contextual Inertia: Reinforcement Learning with Single-Turn Anchors for Stable Multi-Turn Interaction Uniform Inductive Spatio-Temporal Kriging MineEvolve: Self-Evolution with Accumulated Knowledge for Long-Horizon Embodied Minecraft Agents MESD: A Risk-Sensitive Metric for Explanation Fairness Across Intersectional Subgroups AgentHER: Hindsight Experience Replay for LLM Agent Trajectory Relabeling AdaRubric: Task-Adaptive Rubrics for Reliable LLM Agent Evaluation and Reward Learning SARL: Label-Free Reinforcement Learning by Rewarding Reasoning Topology ChartDiff: A Large-Scale Benchmark for Comprehending Pairs of Charts Detecting Multi-Agent Collusion Through Multi-Agent Interpretability PHMForge: Evaluating LLM Agents on Industrial Prognostics through MCP-Native, Algorithm-Grounded Tools Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding AgentGA: Evolving Code Solutions in Agent-Seed Space HyperSpace: A Generalized Framework for Spatial Encoding in Hyperdimensional Representations LACE: Lattice Attention for Cross-thread Exploration Towards Shutdownable Agents: Generalizing Stochastic Choice in RL Agents and LLMs OpenCLAW-P2P v7.0-P2PCLAW: Resilient Multi-Layer Persistence, Live Reference Verification, and Production-Scale Evaluation of Decentralized AI Peer Review v7.0 -- Mathematical Corrections & Ecosystem Developments Edition Resolving space-sharing conflicts in road user interactions through uncertainty reduction: An active inference-based computational model ReCAPA: Hierarchical Predictive Correction to Mitigate Cascading Failures Bian Que: An Agentic Framework with Flexible Skill Arrangement for Online System Operations WaferSAGE: Large Language Model-Powered Wafer Defect Analysis via Synthetic Data Generation and Rubric-Guided Reinforcement Learning Learn where to Click from Yourself: On-Policy Self-Distillation for GUI Grounding MILD: Mediator Agent System with Bidirectional Perception and Multi-Layered Alignment for Human-Vehicle Collaboration Intervention Complexity as a Canonical Reward and a Measure of Intelligence Mitigating Misalignment Contagion by Steering with Implicit Traits Workspace-Bench 1.0: Benchmarking AI Agents on Workspace Tasks with Large-Scale File Dependencies SymptomAI: Toward a Conversational AI Agent for Everyday Symptom Assessment SDFlow: Similarity-Driven Flow Matching for Time Series Generation Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities A Versatile AI Agent for Rare Disease Diagnosis and Risk Gene Prioritization Process Matters more than Output for Distinguishing Humans from Machines Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning Towards Autonomous Business Intelligence via Data-to-Insight Discovery Agent GraphReAct: Reasoning and Acting for Multi-step Graph Inference Inductive Entity Representations from Text via Link Prediction Learning Strategic Value and Cooperation in Multi-Player Stochastic Games through Side Payments Attention-Mamba: A Mamba-Enhanced Multi-Scale Parallel Inference Network for Medical Image Segmentation Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metrics Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels Virtual Personas for Language Models via an Anthology of Backstories Explaining Graph Neural Networks for Node Similarity on Graphs Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis Automated conjecturing with \emph{TxGraffiti} LPT: Less-overfitting Prompt Tuning for Vision-Language Model Language Conditioned Multi-Finger Dexterous Manipulation Enabled by Physical Compliance and Switching of Controllers Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models Watermarking Graph Neural Networks via Explanations for Ownership Protection OrderFusion: Encoding Orderbook for End-to-End Probabilistic Intraday Electricity Price Forecasting Beyond the Singular: Revealing the Value of Multiple Generations in Benchmark Evaluation ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation Simulus: Combining Improvements in Sample-Efficient World Model Agents Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of Experts LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing REI-Bench: Can Embodied Agents Understand Vague Human Instructions in Task Planning? The Accountability Paradox: How Platform API Restrictions Undermine AI Transparency Mandates GRIT: Teaching MLLMs to Think with Images Data Mixing Can Induce Phase Transitions in Knowledge Acquisition Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate Chinese Cyberbullying Detection: Dataset, Method, and Validation One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation Where Do Reasoning Models Refuse? Causal Discovery for Irregularly Time Series with Consistency Guarantees Elite Polarization in European Parliamentary Speeches: a Novel Measurement Approach Using Large Language Models Mitigating Watermark Forgery in Generative Models via Randomized Key Selection Reinforcement Learning with Action Chunking TinyTroupe: An LLM-powered Multiagent Persona Simulation Toolkit Explainable Machine Learning Framework for Cardiovascular Disease Diagnosis and Prognosis Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding Equivariant Volumetric Grasping Position: Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead MECAT: A Multi-Experts Constructed Benchmark for Fine-Grained Audio Understanding Tasks Task complexity shapes internal representations and robustness in neural networks Randomized PCA Forest for Unsupervised Outlier Detection EventTSF: Event-Aware Non-Stationary Time Series Forecasting Assessing Trustworthiness of AI Training Dataset using Subjective Logic -- A Use Case on Bias Multimodal Representation Learning Conditioned on Semantic Relations GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs Scam2Prompt: A Scalable Framework for Auditing Malicious Scam Endpoints in Production LLMs Top-H Decoding: Adapting the Creativity and Coherence with Bounded Entropy in Text Generation AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs RL Fine-Tuning Heals OOD Forgetting in SFT Positional Encoding via Token-Aware Phase Attention Frictional Q-Learning Elastic MoE: Unlocking the Inference-Time Scalability of Mixture-of-Experts Benchmarking and Mitigating Sycophancy in Medical Vision Language Models GLAI: GreenLightningAI for Accelerated Training through Knowledge Decoupling You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models Turning Drift into Constraint: Robust Reasoning Alignment in Non-Stationary Multi-Stream Environments PAINET: A Principled Efficient Transformer for 3D Dynamics Modeling EverydayMMQA: A Multilingual and Multimodal Framework for Culturally Grounded Spoken Visual QA Control-Augmented Autoregressive Diffusion for Data Assimilation Less Diverse, Less Safe: The Indirect But Pervasive Risk of Test-Time Scaling in Large Language Models When a Robot is More Capable than a Human: Learning from Constrained Demonstrators Batch Bayesian Active Learning with Partial Batch Label Sampling Provable Anytime Ensemble Sampling Algorithms in Nonlinear Contextual Bandits Users as Annotators: LLM Preference Learning from Comparison Mode GenCellAgent: Generalizable, Training-Free Cellular Image Segmentation via Large Language Model Agents LILO: Bayesian Optimization with Natural Language Feedback ActivationReasoning: Logical Reasoning in Latent Activation Spaces EchoFake: A Replay-Aware Dataset for Practical Speech Deepfake Detection SAID: Safety-Aware Intent Defense via Prefix Probing for Large Language Models No Mean Feat: Simple, Strong Baselines for Context Compression TetraJet-v2: Accurate NVFP4 Training for Large Language Models with Oscillation Suppression and Outlier Control Forget BIT, It is All about TOKEN: Towards Semantic Information Theory for LLMs Continuum: Efficient and Robust Multi-Turn LLM Agent Scheduling with KV Cache Time-to-Live COGNOS: Universal Enhancement for Time Series Anomaly Detection via Constrained Gaussian-Noise Optimization and Smoothing MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation Energy Consumption of Dataframe Libraries for End-to-End Deep Learning Pipelines:A Comparative Analysis Auditing Data Membership in Reinforcement Learning With Verifiable Rewards Commanding Humanoid by Free-form Language: A Large Language Action Model with Unified Motion Vocabulary Parallel Multi-Circuit Quantum Feature Fusion in Hybrid Quantum-Classical Convolutional Neural Networks for Breast Tumor Classification GraphBench: Next-generation graph learning benchmarking CARL: Criticality-Aware Agentic Reinforcement Learning When Tables Leak: Attacking String Memorization in LLM-Based Tabular Data Generation RAG-HAR: Retrieval Augmented Generation-based Human Activity Recognition A probabilistic framework for crystal structure denoising, phase classification, and order parameters MIDUS: Memory-Infused Depth Up-Scaling Can LLMs Estimate Student Struggles? Human-AI Difficulty Alignment with Proficiency Simulation for Item Difficulty Prediction Selective LoRA for Visual Tokens and Attention Heads Schoenfeld's Anatomy of Mathematical Reasoning by Language Models LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Models DUALFloodGNN: Physics-informed Graph Neural Network for Operational Flood Modeling Big AI is accelerating the metacrisis: What can we do? TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer The World is Not Mono: Enabling Spatial Understanding in Large Audio-Language Models IntroLM: Introspective Language Models via Prefilling-Time Self-Evaluation Tracing Moral Foundations in Large Language Models STAGE: A Full-Screenplay Benchmark for Reasoning over Evolving Storie Spectral Characterization and Mitigation of Sequential Knowledge Editing Collapse Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answering A Scalable Entity-Based Framework for Auditing Bias in LLMs Q-learning with Adjoint Matching The Geometric Reasoner: Manifold-Informed Latent Foresight Search for Long-Context Reasoning Simulating Complex Multi-Turn Tool Calling Interactions in Stateless Execution Environments What's the plan? Metrics for implicit planning in LLMs and their application to rhyme generation and question answering Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioning On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency Curriculum Learning for LLM Pretraining: An Analysis of Learning Dynamics Why Adam Works Better with $\beta_1 = \beta_2$: The Missing Gradient Scale Invariance Principle Supervised Mixture-of-Experts for Surgical Grasping and Retraction CoDCL: Counterfactual-Inspired Augmentation Contrastive Learning for Temporal Link Prediction in Social Networks ScholarPeer: A Context-Aware Multi-Agent Framework for Automated Peer Review Hyperspherical Autoencoder for High-Fidelity Image Reconstruction and Generation Optimal Transport-Guided Adversarial Attacks on Graph Neural Network-Based Bot Detection A Minimum Variance Path Principle for Accurate and Stable Score-Based Density Ratio Estimation Calibrating Behavioral Parameters with Large Language Models Hidden Heroes and Gradient Bloats: Layer-Wise Redundancy Inverts Attribution in Transformers Functional Subspace, where language models can use vector algebra to solve problems A Physical Theory of Backpropagation: Exact Gradients from the Least-Action Principle MathlibLemma: Folklore Lemma Generation and Benchmark for Formal Mathematics What Structural Inductive Bias Helps Transformers Reason Over Knowledge Graphs? A Study with Tabula RASA PrAg-PO: Prompt Augmented Policy Optimization for Robust and Diverse Mathematical Reasoning Efficient Estimation of Kernel Surrogate Models for Task Attribution SAR-RAG: ATR Visual Question Answering by Semantic Search, Retrieval, and MLLM Generation SE-Bench: Benchmarking Self-Evolution with Knowledge Internalization CoreQ: Learning-Free Mismatch Correction and Successive Rounding for Quantization Dynamics-Aligned Shared Hypernetworks for Contextual RL under Discontinuous Shifts Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding BONSAI: Bayesian Optimization with Natural Simplicity and Interpretability Breaking the Grid: Distance-Guided Reinforcement Learning in Large Discrete Action Spaces SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive Economies Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity Formal Policy Enforcement for Real-World Agentic Systems Towards Cross-lingual Values Judgment: A Consensus-Pluralism Perspective Learning from Trials and Errors: Reflective Test-Time Planning for Embodied LLMs Exploring the AI Obedience: Why is Generating a Pure Color Image Harder than CyberPunk? Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards TiledAttention: a CUDA Tile SDPA Kernel for PyTorch ITLC at SemEval-2026 Task 11: Normalization and Deterministic Parsing for Formal Reasoning in LLMs Learning Approximate Nash Equilibria in Cooperative Multi-Agent Reinforcement Learning via Mean-Field Subsampling Relational In-Context Learning via Synthetic Pre-training with Structural Prior Upholding Epistemic Agency: A Brouwerian Assertibility Constraint for Responsible AI What Does Flow Matching Bring To TD Learning? From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration The DSA's Blind Spot: Algorithmic Audit of Advertising and Minor Profiling on TikTok Towards Batch-to-Streaming Deep Reinforcement Learning for Continuous Control Gender Fairness in Audio Deepfake Detection: Performance and Disparity Analysis EvoDriveVLA: Evolving Driving VLA Models via Collaborative Perception-Planning Distillation Where Do Flow Semantics Reside? A Protocol-Native Tabular Pretraining Paradigm for Encrypted Traffic Classification AR-VLA: True Autoregressive Action Expert for Vision-Language-Action Models OpenClaw-RL: Train Any Agent Simply by Talking Visual-ERM: Reward Modeling for Visual Equivalence Robust Building Damage Detection in Cross-Disaster Settings Using Domain Adaptation Grounding the Score: Explicit Visual Premise Verification for Reliable Vision-Language Process Reward Models VC-Soup: Value-Consistency Guided Multi-Value Alignment for Large Language Models MolRGen: A Training and Evaluation Setting for De Novo Molecular Generation with Reasonning Models ROM: Real-time Overthinking Mitigation via Streaming Detection and Intervention Agent-Sentry: Bounding LLM Agents via Execution Provenance Willful Disobedience: Automatically Detecting Failures in Agentic Traces Challenges and opportunities for AI to help deliver fusion energy Selective Deficits in LLM Mental Self-Modeling in a Behavior-Based Test of Theory of Mind AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment Understand and Accelerate Memory Processing Pipeline for Disaggregated LLM Inference An Empirical Study of Multi-Agent Collaboration for Automated Research REAP: Automatic Curation of Coding Agent Benchmarks from Interactive Production Usage Regime-Calibrated Fleet Repositioning with a Spatial Queue-Regret Decomposition Supervised Dimensionality Reduction Revisited: Why LDA on Frozen CNN Features Deserves a Second Look HighFM: Towards a Foundation Model for Learning Representations from High-Frequency Earth Observation Data Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series ADP-FL-MedSeg: Adaptive Differential Privacy for Federated Medical Segmentation Across Diverse Modalities Sparse-Aware Neural Networks for Nonlinear Functionals: Mitigating the Exponential Dependence on Dimension Generative Experiences for Digital Mental Health Interventions: Evidence from a Randomized Study Distributionally Robust Token Optimization in RLHF AffordSim: A Scalable Data Generator and Benchmark for Affordance-Aware Robotic Manipulation SCORP: Scene-Consistent Multi-agent Diffusion Planning with Stable Online Reinforcement Post-Training for Cooperative Driving ClawGuard: A Runtime Security Framework for Tool-Augmented LLM Agents Against Indirect Prompt Injection SafeHarness: Lifecycle-Integrated Security Architecture for LLM-based Agent Deployment HiVLA: A Visual-Grounded-Centric Hierarchical Embodied Manipulation System PAC-MCTS: Bias-Aware Pruning for Robust LLM-Guided Search and Planning A Nonasymptotic Theory of Gain-Dependent Error Dynamics in Behavior Cloning Benchmarking Real-Time Question Answering via Executable Code Workflows enclawed: A Configurable, Sector-Neutral Hardening Framework for Single-User AI Assistant Gateways COSAC: Counterfactual Credit Assignment in Sequential Cooperative Teams LEPO: Latent Reasoning Policy Optimization for Large Language Models Harmful Intent as a Geometrically Recoverable Feature of LLM Residual Streams Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts Physics-Enhanced Deep Learning for Proactive Thermal Runaway Forecasting in Li-Ion Batteries CAP: Controllable Alignment Prompting for Unlearning in LLMs VS-DDPM: Efficient Low-Cost Diffusion Model for Medical Modality Translation Hiding in Plain Sight: Detectability-Aware Antidistillation of Reasoning Models The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation Generative Synthetic Data for Causal Inference: Pitfalls, Remedies, and Opportunities BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Rethinking Layer Redundancy in Large Language Models: Calibration Objectives and Search for Depth Pruning Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence Faithful Autoformalization via Roundtrip Verification and Repair Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding DeepTutor: Towards Agentic Personalized Tutoring Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees CLEAR: Revealing How Noise and Ambiguity Degrade Reliability in LLMs for Medicine SiNFluD: Creating and Evaluating Figurative Language Dataset for Sindhi The Perceptual Bandwidth Bottleneck in Vision-Language Models: Active Visual Reasoning via Sequential Experimental Design AI Expert Twin: Capturing Expert Cognition for Human-Centred, Practice-Based Learning AI Alignment via Incentives and Correction SplitZip: Ultra Fast Lossless KV Compression for Disaggregated LLM Serving AsymTalker: Identity-Consistent Long-Term Talking Head Generation via Asymmetric Distillation SkCC: Portable and Secure Skill Compilation for Cross-Framework LLM Agents BFORE: Butterfly-Firefly Optimized Retinex Enhancement for Low-Light Image Quality Improvement AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics PHALAR: Phasors for Learned Musical Audio Representations Validity-Calibrated Reasoning Distillation A Mean Curvature Approach to Boundary Detection: Geometric Insights for Unsupervised Learning RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization Text Corpora as Concept Fields: Black-Box Hallucination and Novelty Measurement Governed Metaprogramming for Intelligent Systems: Reclassifying Eval as a Governed Effect SLAM: Structural Linguistic Activation Marking for Language Models X-Voice: Enabling Everyone to Speak 30 Languages via Zero-Shot Cross-Lingual Voice Cloning PersonaTeaming: Supporting Persona-Driven Red-Teaming for Generative AI Fourier Feature Methods for Nonlinear Causal Discovery: FFML Scoring, TRFF Scoring, and FFCI Testing in Mixed Data The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT $\unicode{x2013}$ Multitracer Multicenter Generalization When AI Meets Science: Research Diversity, Interdisciplinarity, Visibility, and Retractions across Disciplines in a Global Surge TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models VISD: Enhancing Video Reasoning via Structured Self-Distillation When to Trust Imagination: Adaptive Action Execution for World Action Models Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understanding Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States Operating Within the Operational Design Domain: Zero-Shot Perception with Vision-Language Models APEX: Assumption-free Projection-based Embedding eXamination Metric for Image Quality Assessment One Token Per Frame: Reconsidering Visual Bandwidth in World Models for VLA PolicyGithub Trending (Python)
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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 Chemistry in the AI era 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 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 policies Radioactive rain and proving relativity: Books in brief How a passion for baking fermented a fresh career move ‘Undruggable’ cancer proteins meet their match Briefing Chat: Can’t focus? It’s not your attention span, it’s your notifications World-leading climate centre takes Trump administration to court Goodbye GDP? 31 ways to replace the world’s favourite measure of economic health Surge in fake citations uncovered by audit of 2.5 million biomedical science papers World’s largest forest research agency faces severe cutback by Trump administration Three mental-health claims from RFK’s wellness movement: what scientists say Matter of taste A life in pictures: celebrating David Attenborough at 100 Happy 100th birthday David Attenborough! Nature salutes you Author Correction: Proteasome-guided haem signalling axis contributes to T cell exhaustion Trafficked pangolins can be traced to their source by DNA — even to a specific forest There is no vaccine for deadly hantavirus: what that means for future outbreaks Early-career researchers do more ‘disruptive’ science than veterans Why AI chatbots that follow human laws are hard to build Daily briefing: A stunningly detailed map of the Universe and the month’s best science images My English skills are hurting my chances in academic publishing — how can I improve? Author Correction: Enteric neurons increase maternal food intake during reproduction Author Correction: Multidimensional profiling of heterogeneity in supratentorial ependymomas Anaesthetized brains can still process podcasts Two-qubit logic and teleportation with mobile spin qubits in silicon Expanding the human proteome with microproteins and peptideins RNA-triggered cell killing with CRISPR–Cas12a2 Pollinators support the nutrition and income of vulnerable communities Electrocaloric effects across room temperature in multilayer capacitors Foreshock-induced slip transients set mainshock nucleation timing Non-invasive profiling of the tumour microenvironment with spatial ecotypes Plasticity and language in the anaesthetized human hippocampus Genome-wide sweeps create ecological units in the human gut microbiome Tree community resource economics control soil food web multifunctionality Prefrontal to ventral tegmental area dynamics drive contingency degradation Steric hindrance of antibody binding in an Omicron spike fusion intermediate Purcell-enhanced spin–phonon coupling with a single colour centre Predicting temporal stability and resilience from resistance and recovery HIV-1 signalling remodels nuclear pores to licence infection Specific expansion of motor cortical projections in a singing mouse Quantum coherent manipulation and readout of superconducting vortex states Imaging the flat bands of magic-angle graphene reshaped by interactions Deforestation-induced drying lowers Amazon climate threshold Molecular skeleton programming of premediators in sulfur electrochemistry A brain reward circuit inhibited by next-generation weight-loss drugs in mice Extreme galaxy-scale outflows are frequent among luminous early quasars Androgen loss accelerates brain tumour growth via HPA axis activation Two decades of PARP inhibitor synthetic lethality in cancer Systematic partisan content skews in TikTok during the 2024 US elections Multiplexed magnetic resonance imaging Origin story The lights are out but someone’s home: sensory processing in anaesthetized human brains Towards disentangling human-induced drivers of precipitation trends from naturally occurring ones 25 years of chemistry that simply clicks Revealed: the mysterious ‘dark’ proteins that might play a big role in biology J. Craig Venter obituary: maverick biotechnologist who sequenced the human genome I’m burnt out and leaving academia. How do I finish my PhD?CNN
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
Jason Collins, NBA's first openly gay player, dies at 47 of brain tumor OpenAI's Sam Altman takes the stand to fend off Elon Musk's accusations he 'stole a charity' Omaha's U.S. House race will test candidates' ability to reach beyond party lines About 7 million kids live in a home with a loaded and unlocked gun, a study finds How Americans see China now The SPLC survived firebombs and death threats. Will it survive Trump 2.0? FDA commissioner resigns after tumultuous tenure Alabama splits U.S. House primaries after court ruling; S.C. redistricting stalls Israel's government is expected to collapse over ultra-Orthodox military draft Transportation Secretary Duffy filmed a reality show, funded by firms he regulatesThe Atlantic
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 Moscow Send the Frigates Trump Has Gone From Unpredictable to Unreliable China Believes America Will Flame Out What Happens When the Tradwife Dream Goes Wrong? Rock and Roll Faces the Inevitable I Remember America Before the Measles Vaccine Stephen Miller in Retreat A Dream Movie for Tired Moms Everywhere Ten Thousand Things Arising Marty Makary Set the Conditions for His Own Downfall People Who Don’t Like People Are Making All of Our DecisionsVox
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 hotspot for wildfires Don’t freak out about hantavirus Can Trump lower gas prices? Marco Rubio is dreaming of a kinder, gentler MAGA Are humanoid robots all hype? The climate crisis is coming for your groceriesAl Jazeera
Iran war live: Trump travels to China as conflict with Tehran looms large Chinese firm unveils ‘transformer’ style manned robot Honduras mayor arrested for masterminding environmentalist’s killing Sam Altman says Elon Musk wanted 90 percent of OpenAI in high-stakes trial Basketball star Brandon Clarke, Memphis Grizzlies forward, dies at age 29 Trump downplays US-Iran differences as he heads to Beijing to meet with Xi US court pauses decision blocking Trump’s 10 percent global tariff Cannes juror denounces Hollywood boycott of actors for Gaza war views Trump backs Pakistan as Iran mediator after criticism from Lindsey Graham Why have peace efforts failed to end conflict in Sudan? Red Cross says people displaced by conflict in Colombia doubled last year Why is Iran increasingly targeting the UAE in its war messaging? Ukraine hits Russia’s distant gas facilities after Moscow’s attacks kill 6 Moment taxi driver wrestles armed man during police chase in Turkiye Macron unveils $27 billion Africa investment, urges reset with Europe Trump skirts question on US ‘red lines’ for Iran ceasefire ‘Cotton picking’: US lawmaker condemned for racist comment about Jeffries Kevin Warsh confirmed to US Federal Reserve board in close Senate vote Serbia hosts first joint military exercise with NATO Voters head to the polls in the Bahamas for high-stakes snap election Israel sent Iron Dome anti-missile batteries and personnel to UAE: US envoy US faces rising costs with Iran war driving energy prices, inflation higher Inside US Democrats’ Gaza fight – and what it means for 2028 elections EBay rejects GameStop’s $56bn bid as ‘neither credible nor attractive’ Can China counter US sanctions with its trade power?Ars Technica
The newest AI boom pitch: Host a mini data center at your home FDA chief resigns after Trump admin forced approval of fruity e-cigs Twin brothers wipe 96 gov't databases minutes after being fired “Will I be OK?” Teen died after ChatGPT pushed deadly mix of drugs, lawsuit says Microsoft will lean on your CPU to speed up Windows 11's apps and animations eBay rejects GameStop's $56B offer: "Your proposal is neither credible nor attractive" Google's Android-powered laptops are called Googlebooks, and they're coming this year Android is getting a big AI overhaul in 2026 Amazon employees are "tokenmaxxing" due to pressure to use AI tools Once again, SpaceX has set a new record for the tallest rocket ever built Linux bitten by second severe vulnerability in as many weeks Audi has a new Q9 flagship coming soon: Here's its interior After banning foreign routers, FCC says existing ones can get updates until 2029 Data center guzzled 30 million gallons of water, and nobody noticed for months Passengers from hantavirus ship arrive in US; 3 people in biocontainment Starlink shuts down its GPS-style cheat code. Researchers may unlock it anyway. iOS, macOS, and iPadOS 26.5 updates arrive with encrypted RCS messaging and more Samsung made a “mockery” of Dua Lipa by putting her picture on TV boxes, lawsuit says Pirates are already playing Forza Horizon 6 days before its launch F1 set for another engine tweak in 2027, and what's this about V8s?Slashdot
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 Tools Google Announces Its Chromebook Successor: the Googlebook Microsoft's $1 Billion AI Data Center Will 'Switch Off Half of Kenya' EU To Crack Down On TikTok, Instagram's 'Addictive Design' eBay Rejects GameStop's $56 Billion Takeover As 'Neither Credible Nor Attractive' FCC Says Foreign-Made Routers Can Get Updates Until 2029 First Real-Time Brain-Controlled Hearing Device Arts and Cultural Engagement 'Linked To Slower Pace of Biological Aging' Microsoft CEO Satya Nadella Testifies In OpenAI Trial A Data Center Drained 30 Million Gallons of Water Unnoticed Digg Tries Again, This Time As an AI News Aggregator CUDA Proves Nvidia Is a Software Company Anthropic's Bug-Hunting Mythos Was Greatest Marketing Stunt Ever, Says cURL CreatorSmithsonian Magazine
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 Favorites Marilyn Monroe Collections Assembled for Her 100th Birthday Cut Through Hollywood Glamour to Reveal the Star’s Human Side Microplastics Are Swirling Around in the Atmosphere, Where They Might Be Contributing to Climate Change Benjamin Franklin Styled Lady Liberty’s Look in This Medal He Commissioned to Honor American and French Allies in the Revolutionary War An English King Minted These Coins to Ward Off a Viking Invasion. Instead, the Seafaring Raiders Turned the Pennies Into Jewelry New Clues Help Solve the Mystery of an Enslaved Boy Pictured in a Portrait by a Leading English Artist These Singing Mice Squeak Back and Forth—and Don't Interrupt. Scientists Found the Brain Pathway Behind Their Impressive Songs Researchers Discovered the Remnants of a Secret, Illegal Whisky Distillery in a Stunning Scottish Park It Took Millions of Years for Australia's Famous Twelve Apostles Landmark to Rise Out of the SeaInfoQ
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 Druid Presentation: Evolution of a Backend for a Streaming Application Article: Local-First AI Inference: A Cloud Architecture Pattern for Cost-Effective Document Processing Podcast: From Java EE to Quarkus and LLMs: Adam Bien’s Playbook for Boring, Future‑Proof Systems New DORA Report Claims Strong Engineering Foundations Drive AI Return on Investment Netflix Introduces ‘Model Lifecycle Graph’ to Scale Enterprise Machine Learning Java News Roundup: GraalVM, Spring AI, JobRunr, GlassFish, Grails, Groovy, Quarkus Agent MCP MySQL 9.7: First Major LTS Since 8.4 Brings Enterprise Features to Community EditionDynomight
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. machine Please take my weird moral puzzles quizMarginal Revolution
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 links Will AI kill the research paper? Which are the most common everyday phenomena that we don’t properly understand? Saturday assorted links The UAP report so farNot Boring
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 Intelligence Weekly Dose of Optimism #180Coding 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?NASA Breaking News
NASA Langley Engineer Attends FAA Training Perseverance Stuns in New Selfie NASA’s Perseverance Rover Snaps Selfie in Mars’ Western Frontier NASA’s Perseverance Captures Panorama at ‘Arbot’ NASA’s Perseverance Rover Snaps Westernmost Selfie Hello Universe: NASA’s Next-Gen Space Processor Undergoes Testing I Am Artemis: Kathleen Harmon Australia’s Cloudy Beauty Curiosity Blog, Sols 4886-4892: Ingenuity and Perseverance, Curiosity Style NASA’s Curiosity Takes Close Look at Rock That Got Stuck on DrillQuanta Magazine
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 Cells A Treasure Trove of Cambrian Fossils Rewrites the Story of Early LifeScience Daily
Scientists say this algae could remove microplastics from drinking water 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 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 tests Scientists find a way to stop dangerous belly fat as we age Scientists discover why Ozempic works better for some people People once risked everything just to keep their hats on What scientists found inside coral reefs could change the future of medicine Scientists find natural compounds that hit COVID-19 from every angle Eating eggs could cut Alzheimer’s risk by 27% Webb space telescope finds a giant galaxy that doesn’t spin This strange planet pair shouldn’t exist, but it does This town found clean energy deep inside old coal mines Your DNA may predict your future success more than your upbringing Scientists finally solve 40-year-old physics puzzle about how things grow Scientists reverse diabetes in mice with lab-grown insulin cells Colon cancer breakthrough keeps patients cancer-free for nearly 3 yearsSpaceflight Now
SpaceX targets May 19 for debut of Starship Version 3, Launch Pad 2 Poor weather causes NASA, SpaceX to scrub launch attempt of 34th Cargo Dragon mission 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
People who still make handwritten to-do lists understand something many productivity apps forgot — the brain often works better when thinking slows down Russia is building engines for interstellar travel while nearly two-thirds of rural households still have no indoor plumbing — and that gap says something important about how space programs actually get funded Research suggests the ‘I think better on a walk’ cliché is real — and you don’t need to be outside for it to work Research suggests that people who feel time slipping away faster every year aren’t losing their minds, they’ve just stopped creating what neuroscientists call temporal landmarks, the small disruptions to routine that give the brain something worth remembering I spent years convinced the moon landing was faked — and the single piece of evidence that changed my mind isn’t one most conspiracy debunkers ever bring up The NRO just quietly flew its 13th mission in a constellation buildout almost nobody covers — and the real story isn’t SpaceX, it’s how spy satellites stopped being big Psychology suggests talking to yourself out loud may measurably improve cognitive performance and for people who are prone to it, stopping hinders them Adults who eat the same breakfast every morning, take the same route to work, and order the same drink at every restaurant aren’t boring, they may have built a small architecture of certainty in a life that taught them surprises rarely went their way NASA just put a political operative with zero space experience in charge of launch operations at Kennedy — and the quiet part is what it signals about who actually runs the agency now SpaceX fueled the world’s tallest rocket without incident, and the launch window may open within daysMartin 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
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” U-he Announces Zebra 3DJ TechTools
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 Spotify (finally) slides into Rekordbox, Serato, and Algoriddim djay (again) – for better or worse?