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Trump’s $1.8bn ‘anti-weaponization’ fund scrapped, acting attorney general Todd Blanche confirms – as it happened - The Guardian Tuesday is a big primary day. Here are key races to watch - NPR Rubio details U.S. demands as Iran peace talks falter - The Washington Post New Jersey Rep. Tom Kean Jr. says he's 'energized' but appears to push back timeline for return - Politico UK police under pressure after dying student was handcuffed - Reuters Fetterman calls Platner a ‘creep’ after reports of extramarital sexting - CNN Police negotiate in hostage situation at Chase Bank amid bomb threat in downtown - KMPH Polls of California Governor’s Race Show a Clear Top 3 - The New York Times Florida Property Tax Cut Raises Questions Over Who Pays the Bill - Newsweek White House correspondents’ dinner gets a second act after attempted assassination - The Washington Post Russian attack on Ukraine kills 22 people, officials say, as Moscow escalates fighting - NPR Celebration, shock and scepticism follow Colombia’s presidential election - Al Jazeera American soldier and British soldier die in training accident in Iraq - CBS News EU agrees deal for deporting migrants to third-country 'return hubs' - France 24 Victoria’s Secret Hits Record High as Bra Strategy Resonates - Yahoo Finance Exclusive | Warsh Names Two Conservative Policy Veterans as Interim Fed Advisers - WSJ Economic Fury Targets Iran’s Largest Digital Asset Exchange for Terror Finance and Sanctions Evasion - U.S. Department of the Treasury (.gov) Exclusive: SpaceX targets $1.75 trillion valuation including greenshoe option in record IPO, sources say - Reuters Microsoft's Surface RTX Spark Dev Box Will Handle Tougher AI Workloads - Engadget Microsoft testing wearable AI gadget aimed at office workers - BBC Microsoft Wants to 'Make People Addicted' to its New AI Assistant, Internal Documents Reveal - 404 Media I held the next-gen handheld - The Verge Peabo Bryson, Veteran R&B Singer of ‘Beauty and the Beast’ and ‘Whole New World,’ Dies at 75 - Variety ‘Euphoria’ Goes Out With a Whimper - The New York Times 'Love Island USA' Season 8: How to watch tonight, cast, episode release schedule and more - Yahoo ‘Masters of the Universe’: What Critics Are Saying About the He-Man Movie Starring Nicholas Galitzine and Jared Leto - The Hollywood Reporter How to watch 2026 Stanley Cup Final on ABC - ESPN How Rival Coaches Would Defend Victor Wembanyama and Jalen Brunson in NBA Finals Matchup - Sports Illustrated Eagles made play for Myles Garrett, but Browns wanted Jalen Carter - NBC Sports The Eagles’ saga with A.J. Brown is finally over. His trade to the Patriots gives way to questions for both parties. - Inquirer.com Massive boom over northeastern US was a meteor explosion as powerful as 300 tons of TNT, NASA confirms - Space Webb Telescope snaps interstellar comet – proves it's like nothing we've ever seen in our own Solar System - BBC Sky at Night Magazine NASA Crowns New Leader in Race to Colonize the Moon. It’s Not SpaceX - Yahoo Finance Bright green fireball meteor streaks over Northeast Ohio, Great Lakes region - Cleveland.com Five people have left hantavirus quarantine facility in Nebraska - The Washington Post Number of suspected Ebola cases falls by hundreds as testing ramps up - Ars Technica As Ebola Spreads, Scientists Race to Find Vaccines and Treatments - The New York Times Weight-loss jabs cut cancer risk and boost survival - The TelegraphBBC News
Henry Nowak arrest footage raises 'serious questions for police', PM says Key moments from police bodycam footage Three quarters of workers not on track for 'moderate' pension income, report suggests US says it launched 'self-defense' strikes on Iranian island More heatwaves likely as warmer-than-normal summer forecast Putin remains uncompromising on Ukraine, but is public discourse on war changing in Russia? Puffin and bumblebee among 18 creatures shortlisted to feature on banknotes Trump administration drops $1.8bn 'compensation fund' Israel strikes southern Lebanon but partial truce with Hezbollah appears to hold South West Water fined £1.8m over Devon parasite outbreak Married at First Sight UK allegations 'deeply disturbing', says watchdog 'Difficult' day for passengers due to Tube strike Could lifting weights actually help you live longer? The Papers: 'Plea for calm ignored' and 'Arrest that outraged nation' Sailors stressed and exhausted after months trapped by Strait of Hormuz blockade How pupils with special educational needs are more likely to see their schools close Five questions left unanswered by the Mandelson files Microsoft says new quantum chip 1,000 times more reliable than predecessor British couple lose Iran jail sentence appeal, family says Search operation launched after fishing boat sinks Ex-BBC presenter John Humphrys on being drunk during live Nixon resignation report Post Office scandal victim dedicates OBE to 'sub-postmasters we have lost' More black men to benefit from prostate cancer screening trial Starmer uses disappearing messages on his phone, No 10 confirms BBC News app Newscast Does the US need new laws to protect elections? Liverpool agree deal with Iraola to succeed Slot Man Utd agree £35m fee for Atalanta's Ederson Never any doubt about Knight's England spot - Edwards Sir Kenny Dalglish undergoing treatment for cancer No more delayed flag? Fifa adds new offside tech for World Cup Bashir returns to England team for first TestFinancial Times (World)
US and Iran exchange renewed fire as tensions rise over stalled peace talks Palantir should not have ‘significant role’ in UK public data systems, MPs say Premier League clubs could face legal action over sponsorship deals with crypto firms Minister condemns riots after UK rightwing leaders call for ‘rage’ over student killing Cliffwater’s flagship private credit fund redemption requests hit 17% Trump appoints real estate heir Bill Pulte as national intelligence chief Chinese investors fear missing out on SpaceX IPO after crackdown Trump signs watered-down AI vetting order after Maga infighting Kyle included ‘more positive language’ in AI speech after Mandelson advice Seven states sue US for paying $1bn to make Total exit wind power Anthropic to expand Mythos access to more than 15 countries Goldman’s David Solomon sees ‘more greed than fear’ on Wall Street Mexico rebukes US ambassador in growing narco spat Cuba’s unavoidable reckoning Labour backbench MPs say McFadden’s messages have not derailed welfare reform Starmer uses disappearing messages, admits Downing Street The China-US tech truce is fragile Shipping tycoon prefers $200,000 fee to cross Strait of Hormuz to ‘this hassle’ Jolts data shows US labour market is in stagnation not freefall Ex-SNP chief used false invoices to cover up his £400,000 embezzlement Ed Miliband calls for UK to cut greenhouse gas emissions by 87% by 2040 Israel’s Netanyahu faces backlash after Trump call Adnoc plans new UAE pipeline to bypass Strait of Hormuz Who will be Gavin Newsom’s replacement? Voters to narrow down options UK pushes ahead with zero-hours crackdown despite business warningsFinancial Times (UK)
Palantir should not have ‘significant role’ in UK public data systems, MPs say Premier League clubs could face legal action over sponsorship deals with crypto firms Minister condemns riots after UK rightwing leaders call for ‘rage’ over student killing Kyle included ‘more positive language’ in AI speech after Mandelson advice Labour backbench MPs say McFadden’s messages have not derailed welfare reform Starmer uses disappearing messages, admits Downing Street Ex-SNP chief used false invoices to cover up his £400,000 embezzlement Ed Miliband calls for UK to cut greenhouse gas emissions by 87% by 2040 UK pushes ahead with zero-hours crackdown despite business warnings Let’s stop mismeasuring inflation Martin Wolf honoured by European institutions for defending ‘open and united’ Europe Inflation and interest rates tracker: see how your country compares Submit your questions: Ten years on, what’s next for Brexit? Britain’s growth figures could use a little more seasoning Mandelson files fire up row over taxes ‘to pay benefits’ Scottish EV start-up plans new UK plant in 2027 Blair has shone a spotlight on Starmer’s growth delusion Melanie Grant, Victoria Beckham’s skincare guru, has landed in London Confidence in the value of a degree hits record low in England UK cancer services left ‘fragile’ by the pandemic Home Office bans pro-Palestinian influencers from entering the UK Britain re-entering the EU ‘an inevitability’, says Treasury minister Eight things we learnt from the latest Mandelson files Mandelson files expose criticism of Starmer’s ‘advance/buckle’ premiership Sinn Féin proposes reform to remove threat of Northern Ireland Assembly ‘collapse’The New York Times
Trump Signs Executive Order Seeking Oversight of A.I. Models Meta Expands Safety Features for Teenagers Anthropic Files to Go Public, Setting Stage for Huge I.P.O. Scientists Find Way to Supercharge Dangerous Computer ‘Worms’ With A.I. Florida Sues OpenAI Over Chatbot Safety Concerns Is A.I. Replacing Tech Workers or Providing an Excuse for Job Cuts? How Box Created 13 New Types of Jobs Because of A.I. Chinese Military Sought Nvidia Chips for Years, Report Says China Aims A.I. at Predicting Who Could Pose a Political Risk Nvidia Has a Plan to Put Its Chips in Personal Computers Joby Demonstrated its Air Taxi in Manhattan, but You Can’t Fly in It Yet Powerful A.I. Super PACs Duel Over the Midterms: ‘This Is a War’ What’s Next for Blue Origin After Rocket Explosion Interesting Times: Why Are We Still Driving? Anthropic Tops OpenAI to Become the World’s Most Valuable A.I. Start-Up A.I. Is Making Scams Hard to Spot. Here’s How to Protect Yourself. I Tried to Sell My House With A.I. Teachers Union Urges Schools to Curb A.I. Chatbots and Screen Time Spencer Pratt Wants to Be Mayor. His Fans Want Him to Be Batman. Go Ask Alice Why Tech Start-Ups Are Spending Big on Hype VideosThe Guardian
‘We don’t have another country to run to’: Kenyans fear US plan for Ebola quarantine site Mozambique says five citizens killed in ‘xenophobic attacks’ in South Africa People ‘panicking’ as Ghana passes sweeping law criminalising LGBTQ+ activity UK will not have to pay Rwanda £100m over failed asylum scheme, court rules Wildfires devastating richer areas but fewer hectares burned globally – study Trump administration proposes 25% tariffs on Brazil despite US trade surplus Cricket Canada suspended over allegations of gang-linked corruption Musket balls and a burnt hull: evidence of real pirates of the Caribbean found in Bahamas Mexico City police teargas teachers’ protest 10 days before World Cup Trump admirer’s surprise first-round win is a blow to Colombia’s traditional conservatives Typhoon Jangmi threatens Japan as Europe swelters Japan defence minister rebuffs claims of ‘new militarism’ levelled by China New Aukus drone tech to protect critical undersea cables as Marles warns: ‘seabed is a battlefield’ Four more men freed from flooded Laos cave in hazardous rescue mission Chinese dissident says he was berated by ‘pro-regime’ interpreter for UK police Australia politics live: cyclone recovery package agreed in treaty talks with Solomon Islands; Spender calls for pause on Labor’s tax bill Barnaby Joyce rallies anti-abortion activists ahead of tight NSW vote Female dolphins remember who is aggressive when choosing a mating partner, research shows Fake cigarettes and toys that are ‘essentially weapons’: Choice refers online retailers to regulator over unsafe products ‘Gateway to full-scale fracking’: Santos could drill for new gas in Northern Territory within weeks EU accused of creating ICE-style immigration enforcement system Nightclub promoter, 21, stabbed to death after brawl in Dublin’s tourism district Zelenskyy asks Trump to send missiles after Russian strikes across Ukraine Denmark’s Mette Frederiksen to lead four-party coalition after months of uncertainty ‘Catastrophic for creative industries’: Brexit barriers shut UK actors out of EU jobs US and Iran launch fresh strikes amid stalled ceasefire talks Democrats who marched in New York’s Israel Day parade decry attendance of far-right minister Smotrich Why Benjamin Netanyahu poses an obstacle to US and Iran peace deal Israel strikes southern Lebanon despite Trump’s effort to shore up ceasefire Middle East crisis: Rubio says opening the strait of Hormuz is first condition in talks with Iran – as it happened Eighteen people killed in Afghanistan truck crash, including 10 children Exam fail: Indian students complain en masse about marking errors in key final exams Blond Bangladeshi buffalo nicknamed ‘Donald Trump’ saved from Eid sacrifice Indians protest over ‘forever chemicals’ after relocation of scandal-hit Italian factory Starmer urged to intervene in ‘rigged’ Indian prosecution of British human rights activist Puffins, dolphins and bumblebees in running to feature on new UK banknotes GPs in England too ‘overloaded’ to help older people at risk of falling, say MPs Weight-loss drugs may prevent thousands of knee replacements, study suggests Protesters clash with police in Southampton over Henry Nowak murder Starmer urges calm as far right seeks to exploit Henry Nowak murder Trump endorses New Jersey Republican not seen since March Midterm primaries 2026 live: results and reaction as six states including California and Iowa cast ballots Peabo Bryson, R&B singer behind classic Disney duets, dies aged 75 Democrats backing Platner for Maine Senate despite news of sexting infidelity California: Bakersfield police respond to bomb threat as man barricades himself inside bankHacker News
My Students Can't Read More than 6 out of 10 people turn to AI for psychological support AI Outperforms Law Professors in Stanford Law Study LLMs are not the black box you were promised Use your Nvidia GPU's VRAM as swap space on Linux Show HN: Paseo – Beautiful open-source coding agent interface 4K years ago, Mohenjo-daro grew more equal over time Gleam v1.17.0 CT scans of BYD car parts Now AI agents need what RSS does My thoughts after using Clojure for about a month The advertising cartel coming to your web browser Open Repair Data Standard – Open Repair Alliance Gmail thinks I'm stupid, so I left HP re-releases classic computer science calculator: The HP-16C Launch HN: Rudus (YC P26) – AI for concrete contractors MAI-Code-1-Flash Bringing Up DeepSeek-V4-Flash on AMD MI300X QBE – Compiler Backend – 1.3 Trump signs downsized AI order after weeks of reversalsArxiv astro-ph.HE
JWST Reveals Large Reservoirs of Dust and Ongoing Circumstellar Interaction in SN Ibn/Icn 2023xgo over a Year Post-Explosion On the Faint Early-time Radio and X-ray Emissions in TDE2025aarm Far-infrared synchrotron properties of the inner lobes of the radio galaxy Centaurus A revealed with the Herschel observatory Comparative properties of X-Ray Flashes and Gamma-Ray Bursts from BeppoSAX observations of Fast X-ray Transients BBH-Genesis: Disentangling Binary Black Hole Formation Channels with GWTC-4 The Delta Resonance in the Neutrino Sky Hard X-ray Sources in Fermi UFOs Suppression of boosted relic neutrinos by photon backgrounds during ultra-high-energy cosmic ray propagation The Radio--X-ray Correlation of High-Redshift AGN: A Numerical Study of Inverse-Compton Scattering of the CMB Photons in Relativistic Jets TeV gamma-ray spectral spikes produced by magnetic reconnection in blazar jets: the case of the 2014 high state of Markarian 501 High-Synchrotron-Peaked BL Lacs as Multi-Messenger Sources: Connecting Ultra-High-Energy Cosmic Rays and Neutrinos Enhancing the Angular Resolution of Large Array of imaging atmospheric Cherenkov Telescope (LACT) at Ultra-High Energies Hunting for Compact Object Binaries from eRASS1 Optical Counterparts through ZTF Time-domain Photometry and Multi-wavelength Census Photon Escape from Slab Thomson Media: A Scattering-order-resolved Recursive Formalism for Comptonization Applications Deep Optical Follow-up Observations to IceCube Cosmic Neutrinos: a case for IC230724A with Subaru/HSC and prospects with Rubin/LSST Rapid quasi-periodic reconfiguration of the accretion column in pulsar 1A 0535+262 Reconnection-Driven Injection and Stochastic Reacceleration during Cosmological Magnetogenesis A new Chandra look at the globular cluster NGC 6540 and its peculiar X-ray flaring source A 0.03 Hz Radio Quasi-periodic Oscillation During the 2025 Flare of GRS 1915+105 Possible High-Energy Neutrino Emission from Dark Matter Annihilation in the Disrupting Dwarf Galaxy Bo\"{o}tes~III Fast radio bursts, magnetars and earthquakes: their "family feud"? Mass and Spin Growth of Very Massive Stars in Star Clusters Potentially Associated with Little Red Dots Locating the Production Sites of High-Energy Neutrinos in Blazar Jets Revealing the high redshift host galaxy of the short GRB 061201 with JWST Statistical properties of type-II bursts in Rapid Burster observed with Insight-HXMT The First Detection of Sub-Populations in the Delay-Time Distribution of Binary Black Holes in GWTC-4 of LIGO-Virgo-KAGRA Regression on Regression: Mapping Data-Driven Binary Black Hole Merger Rate Fits to Progenitor Histories Prospects of resolving and localising individual supermassive black hole binaries with pulsar timing arrays: the host ranking challenge Linear causality and stability constraints on relativistic second-order magnetohydrodynamics Coupled nuclear and leptonic longitudinal collective modes in neutron star matter : a covariant Vlasov approach A quarkyonic matter model Self-gravitating quantum stars with a globally relevant Bohm potential The Heuristic Approach to General Relativity in the Laplace-Beltrami Formalism Pitching Cosmic Curveballs: Environmental Effects on Extreme-Mass-Ratio Inspirals with Spinning Secondaries Study of Massive OBA Stars with X-ray Emission Ellis-Bronnikov Wormhole Shadows with Spherically Symmetric Accretion Flow Dyonic Quark Stars in Quasi-Topological Electromagnetism The role of the galaxy stellar mass function in determining the cosmological distribution of astrophysical transients with applications to fast radio bursts and merging binary black holes Self-lensing of moving gravitational-wave sources can break the microlensing crossing timescale degeneracy Resolving the (Debate About) Nozzle Shocks in Tidal Disruption Events Inference of Neutron Star Mass Distributions and the Dense Matter Equation of State from Multi-messenger Observations Gamma-Ray Bursts: Evidence for a Common Origin of X-ray Plateaus with Diverse Temporal Decay Index Radiation-hydrodynamics of star-disc collisions for quasi-periodic eruptions Transient X-ray Sources as Extremely Eccentric Mass-Transfer Binaries with Compact Companions Radiation GRMHD Models of Accretion onto Stellar-Mass Black Holes: III. Near-Eddington Accretion The jet-shaped pipe morphology in planetary nebulae and core-collapse supernova remnants Loop-Level Lepton Flavor Violation and Diphoton Signals in the Minimal Left-Right Symmetric Model The Progenitor of the Type II-Plateau SN 2025pht in NGC 1637: The Dustiest, Most Luminous Red Supergiant So Far? Massive hybrid stars within the extended three-flavor quark-meson diquark modelArxiv cs.LG
BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization DAStatFormer: A Hybrid Multibranch Transformer with Statistical Feature Integration for DAS-Based Pattern Recognitions Hoeffding Concept Bottleneck Models with Applications to Overhead Images From Demonstrations to Rewards: Test-Time Prompt Optimization for VLM Reward Models A Shared Valence Axis Across Modern LLMs and Human EEG: The Saturation Regularity Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Compression of Deep Neural Networks Foundation-Preserving Adaptation via Generalized Rayleigh-Quotient Optimization World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications On Effectiveness and Efficiency of Agentic Tool-calling and RL Training Generative AI and Digital Ecosystem Resilience: A Proactive Lifecycle-Based Survey Geometric Erasure by Contrastive Velocity Matching in Rectified Flows Adaptive data selection improves wearable prediction under low baseline performance BudgetDraft: Acceptance-Aware Multi-View Training for Sparse-KV Speculative Decoding RAFT: Data Refinement and Adaptive Distillation for Domain Fine-Tuning with Alleviated Forgetting Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying ChurnNet: A Optimized Modern AI for Churn Prediction Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection Agentic Transformers Provably Learn to Search via Reinforcement Learning AI-Guided Design and Optimization of Graphite-Based Anodes via Iterative Experimental Feedback Learning to Construct Practical Agentic Systems BAGEN: Are LLM Agents Budget-Aware? From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets Quantized Reasoning Models Think They Need to Think Longer, but They Do Not LithoGRPO: Fast Inverse Lithography via GRPO Reinforced Flow Matching A Pre-Training Analogue of Grokking in Language Models: Tracing Delayed Grammatical Generalization InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate ARCA: Adapter-Residual Credit Assignment When Token Signals Degenerate When Softmax Fails at the Top: Extreme Value Corrections for InfoNCE Inner Product Aware Quantization: Provably Fast, Accurate, and Adaptive Algorithms Accurate Large-sample Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo Adaptive Order Policies for Masked Diffusion FLaG: Fine-Grained Latent Grouping for Hallucination Detection Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection Rethinking the Role of Temperature in Large Language Model Distillation Large-scale Uncertainty Quantification for Latent Variable Models Using Subsampling Markov Chain Monte Carlo Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference Perturbative methods for non-parametric instrumental variable KG-Guard: Graph-Based Hallucination Detection for Knowledge Base Question Answering CHAM-net: A Contrastive Hierarchical Adaptive Meta-network for Robust Global Methane Flux Prediction Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks ROGUE: Misaligned Agent Behavior Arising from Ordinary Computer Use PE-means: Improved Differentially Private $k$-means Clustering through Private Evolution The role of class encoding in neural collapse Longitudinal Multimodal Sensing of Physical Activity and Well-Being in Older Adults (HB-ARFM) History-Bootstrapped Flow Matching for Inverse Boiling Reconstruction Drift Q-Learning GLENS: Global Search via Learning from Solver Iterates with Diffusion Models Reinforcement Learning with Pairwise Preferences in Long-Term Decision Problems How Much Orthogonalization Does Muon Need? CRMA: A Spectrally-Bounded Backbone for Modular Continual Fine-Tuning of LLMs Detector-Evasive LLM Paraphrasing via Constrained Policy Optimization PR2: Predictive Routing Replay for MoE-Based LLM Reinforcement Learning Multi-Objective Reference-Aligned Machine Unlearning Dynamic Proxy-Mixing: Transferring Replay Controllers from Small to Large Models for Continual Instruction Tuning Auditing Near-Optimal Policies Can Be Exponentially Hard: Conditional Query Lower Bounds via Occupancy Rashomon Capacity Canonicalized Stable-List Replay for Private Federated Continual Learning over Language-Model Embeddings Topology-Aware State Abstraction with Tangle Cores for Markov Decision Processes Finer Parameter Steps for Low-Rank PEFT: A Controlled Study with CP Tensor Adapters Variance-sensitive Thompson sampling for generalised linear bandits, revisited Grounded Decoding: Retrieval-Anchored Probability Fusion for Faithful RAG EST-PRM: Stress-Testing Process Reward Models Before They Become Load-Bearing Exploiting weight-space symmetries for approximating curvature ProjQ: Project-and-Quantize for Adapter-Aware LLM Compression Torus Graphs for Large Scale Neural Phase Analysis TabChange: Precise Attribute Changes in Tabular Data Saliency-Aware Model Merging Semi-Supervised Learning with Noisy Proxy Covariates: Generalization Bounds and Distribution Regression Generate in Reconstruction Space, Match in Semantic Space: Transport Geometry for One-Step Generation DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation GNMR: Runtime Stability Control for Low-Precision Large Language Model Training Rethinking Bregman Divergences in Kronecker-Factored Optimizers Escaping the Mode Lottery: Multi-Response Training Improves Language Model Generalization The Assistant as a Privileged Persona: A canonical reference in cross-persona self-recognition Normalized Relevance Measure as a Unifying Framework to Explain Neural Network Latent Structures Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain Richer Representations for Neural Algorithmic Reasoning via Auxiliary Reconstruction Interpretable Policy Distillation for Power Grid Topology Control A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models Same Payload, Different Channel: Measuring Trust Asymmetry in Tool-Using Language Models On the Recoverability of Causal Relations from Bulk Gene Expression Data On the Difficulty of Learning a Meta-network for Training Data Selection Spatiotemporal Multi-Task Graph Transformer for Trip-Level Transit Prediction LASER: Loss-Aware Singular-value Decomposition and Rank Allocation for Efficient Low-Precision Vision-Language Models Looped Transformers with Layer Normalization Provably Learn the Power Method CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts How Neural Losses Shape VAE Latents MESA: Improving MoE Safety Alignment via Decentralized Expertise Demystifying the Optimal Fair Classifier in Multi-Class Classification The Paradox of Outcome Optimization: A Causal Information-Theoretic Bound on Reasoning Shortcuts in LLMs Mapping the evolution of small reservoirs in Brazil from 1984 to 2025 using deep learning Limits of Resolution Equivariance in Fourier Neural Operators Prior-Guided Multi-Omic Transformers for Single-Cell Gene Regulatory Network Inference Dialectics of Alignment: Harnessing Unsafe Knowledge for Dynamic Safety Routing DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction COPF: An Online Framework for Deployment-Stable Counterfactual Fairness in Evolving Graphs Graph Transfer Learning via Shared Latent Geometry: Theory and Applications Multi-Agent Conformal Prediction with Personalized Statistical Validity SORA: Free Second-Order Attacks in Fast Adversarial Training Score $\times$ Decoder: A Unified View of Unsupervised Inference-Time Scaling for Hallucination Mitigation Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment A multimodal dataset of photoplethysmography and continuous behavioral responses to ASMR and nature videos RADE: Random Add-Drop Edge as a Regularizer Distributed GNEP Algorithms without Multiplier Sharing and Applications to Multi-Robot Coordination and Contextual Bandit-Based Active Learning Confidence-Adaptive SwiGLU for Mixture-of-Experts Logit Distillation on Manifolds: Mapping by Learning Latent Diffusion Pretraining for Crystal Property Prediction Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning Extending Causal Metamodeling to a non-Markovian Queue Safe-Subspace Pseudo-Label Refinement for Source-Free Graph Domain Adaptation OmniEEG-Bench: A Standardized Evaluation Benchmark for EEG Foundation Models A Comparative Analysis of Machine Learning Algorithms for Multi-Task Prediction of the Parameters of the Pectin Hydrolysis--Extraction Process Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents Beyond Independent Manipulation: Individual Fairness-aware Strategic Classification with Peer Imitation Online Packet Scheduling with Deadlines and Learning CUPID in the Model Zoo: Online Matchmaking for Selecting Your Dream LLM Enhancing LLM Metacognition via Cognitive Pairwise Training Task diversity produces systematic transfer but inhibits continual reinforcement learning Dive into Waves: Morlet Spectral Transformer for Cross-Subject Emotion Decoding from EEG Memory-Efficient LLM Training with Dynamic Sparsity: From Stability to Practical Scaling An Exploratory Study into using Machine-Learning for Fast Step-by-step Emulation of Numerical Mechanical Thrombectomy Simulations for Ischemic Stroke Accuracy, Stability, and Repeated-Run Reliability of Large Language Models on Deterministic Programming Tasks Task Structure Reverses Layerwise State Encoding in Sequence Models Cellular Sheaf Neural Operators for Structure-Preserving Surrogate Modeling of Constrained PDEs PRISM: Gauge-Invariant Tangent-Space Differentially Private LoRA Silent Failures in Federated Personalization of Foundation Models Explainable deep reinforcement learning reveals energy-efficient control strategies for turbulent drag reduction COLLIE: Guiding Skill Discovery in Semantically Coherent Latent Space When Parallelism Pays Off: Cohesion-Aware Task Partitioning for Multi-Agent Coding CryoProt: A Protein Pretraining Framework with Cross-Box Interactions on Cryo-EM Density Maps Optimal-Point Variance Reduction For Bayesian Optimization With Regret Guarantee UME: A Unified Meta-Generalization Framework for Cross-Domain ETA Profiling Privacy Preservation Against Gradient Inversion Attacks in Tabular Federated Learning Data Enrichment for Symbolic Regression Using Diffusion Models Trust Functions: Near-Lossless Weak-to-Strong Generalization by Learning When to Trust the Weak Teacher Beyond Task-Agnostic: Task-Aware Grouping for Communication-Efficient Multi-Task MoE Inference MedGym:A Unified Continuous-Time Benchmark for Dynamic Medical Treatment Reinforcement Learning OPD+: Rethinking the Advantage Design for On-Policy Distillation Plausibility Is Not Prediction: Contrastive Evidence for LLM-Based Cellular Perturbation Reasoning Interaction-Limited Safe Continuous-Time RL for Dynamical Medical Treatment Non-Vacuous Certification of Transport MCMC via Oscillation-Controlled Normalizing Flows ThinkSwitch: Context Distillation with LoRA and Weight Interpolation for Specific-Purpose Reasoning Tasks Decision-Focused On-Policy Learning for Contextual Linear Optimization with Partial Feedback MViewRouter: Internalizing Geometric Equivariance via Multi-view Alternating Attention for Combinatorial Routing Strong Stochastic Flow Maps A Fiber Criterion for Representation Identifiability in Supervised Learning Soft-NBCE: Entropy-Weighted Chunk Fusion for Long-Context LeAP: Learnable Adaptive Permutation for Feature Selection in Heterogeneous and Sparse Recommender Systems HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces A Per-Component Diagnostic Protocol for Neural HJB-PIDE Solvers under Control-Dependent L\'evy Jumps From Reward-Free Representations to Preferences: Rethinking Offline Preference-Based Reinforcement Learning STARFISH: faST Accuracy Recovery in pruned networks From Internal State Healing Local MixVR: Breaking the Communication-Sample Dependence in Distributed Learning Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies When Data Is Scarce: Scaling Sparse Language Models with Repeated Training Fairness in two-player zero-sum games with bandit feedback Revisiting Neural Processes via Fourier Transform and Volterra Series Temporal Motif Signatures for Temporal Graph Neural Networks Physics-Informed Deep Learning for Entropy Prediction in Heterogeneous Systems: Thermodynamic and Information-Theoretic Case Studies Linear Strategic Classification with Endogenous Improvements Riemannian Optimization for Hadamard Products of Low-Rank Matrices Fine-Tuning Diffusion Models for Molecular Generation via Reinforcement Learning and Fast Sampling Hybrid Imbalanced Regression Through Unified Data-Level and Algorithm-Level Balancing DAGGER: Gradient-Free Construction of Transiently Amplifying Networks under Hard Connectivity Constraints Trust Region On-Policy Distillation Beyond Sinusoids: A Morlet Wavelet Framework for Transformer Positional Encoding PALTO: Physics-Informed Active Learning for Tri-Gate FinFET Design Optimization for Vertical Power Delivery GLIDE: Graph-guided Leap Inference for Diffusion Estimation of Spatio-Temporal Point Processes RLVR without Ineffective Samples: Group Prioritized Off-Policy Optimization for LLM Reasoning AdaKernel: Learning Adaptive Kernel Parameters for Spatiotemporal Graph Neural Networks Feature to Dynamics: Feature-space to Autoregression strategy for Zero-shot Time Series Forecasting What Makes a Strong Model? A Unified Spectral Analysis of Knowledge Transfer over High-dimensional Linear Regression ChronosAD: Leveraging Time Series Foundation Models for Accurate Anomaly Detection Structure and Scale in Simplicial Sequence Modelling When Hard Negatives Hurt: Bridging the Generative-Discriminative Gap in Hard Negative Synthesis for Retrieval FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems FreqLite: A Lightweight Frequency-Decomposed Linear Model with Adaptive Reversible Normalization for Robust Long-Term Time-Series Forecasting Sample Complexity and Decision-Theoretic Guarantees for Bayesian Model Averaging over Decision Trees with Catalan-Exponential Priors All Models are Wrong, Knowing Where is Useful: On Model Uncertainty in Reinforcement Learning BRo-JEPA: Learning Modular Arithmetic in Latent Space From Performance to Viability: A Bootstrap Framework for Latent-Space Representation Learning in Adaptive Biological Systems Turning Back Without Forgetting: Selective Backward Refinement for Parameter-Efficient Continual Learning Efficient Exploration for Iterative Nash Preference Optimization Neural Network Compression by Approximate Differential Equivalence GPTQ-intrinsic LoRA: A Near-optimal Algorithm for Low-precision Quantization with Low-rank Adaptation Target localization, identification and sensing using latent symmetries Learning-based Directed Graph Abstraction of Combinatorial Spaces for Order-Preserving Search in Mixed-Combinatorial Nonlinear Optimization Leaf Spectral Reflectance Prediction Using Multi-Head Attention Neural Networks CEAR: Certified Ensemble Adversarial Robustness in DNNs UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures Truthful AI Advisors: A Pre-Specified Benchmark for Large Language Model Honesty Under Preference Misalignment Genotype-Conditioned Molecular Generation via Evidence-Grounded Multi-Objective Latent Perturbation in Diffusion Models OmniOPD: Logit-Free On-Policy Distillation via Speculative Verification MURMUR: An Efficient Inference System for Long-Form ASR CART: Context-Anchored Recurrent Transformer -- A Parameter-Efficient Architecture with Learned Stability ProbMoE: Differentiable Probabilistic Routing for Mixture-of-Experts Fast Generalization after Interpolation via Critically Damped Momentum Optimization Semi-Supervised Hyperbolic Hierarchical Clustering with Set-Level Structural Priors Near-Optimal Pure Machine Unlearning for Smooth Strongly Convex Losses Rethinking the Role of Positional Encoding: Sliding-Window Transformers without PE Remain Turing Complete TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions CRePE: Convolution-aware Relative Importance in Post-training Pruning with Efficient Search Flexible Online Representation Learning Based on Similarity Matching Everywhere Learning: Artificial Intelligence with Pointwise Constraints GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks MomentKV: Closing the Directional Gap in KV Cache Eviction for Long-Context Inference RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning Uncertainty-Calibrated Diffusion for Reliable 3D Molecular Graph Generation Estimating Mutual Information between Time Series and Temporal Event Sequences Across Diverse Analysis Tasks FedMTFI: Feature Importance Based Optimized Multi Teacher Knowledge Distillation in Heterogeneous Federated Learning Environment IMWM: Intuition Models Complement World Models for Latent Planning E4GEN: Event-level Explainable Extreme-Enhanced Time-series Generation Gate the Filter, Not the Message: Node-Channel Mixtures for Pre-Propagation GNNs Quantifying the Energy Floor: Direct Measurement and Replay Buffer Bias in SAC-Based HVAC Control on sbsim DOT-MoE: Differentiable Optimal Transport for MoEfication ATLAS: Agentic Test-time Learning-to-Allocate Scaling RDA: Reward Design Agent for Reinforcement Learning CANARY: Zero-Label Detection of Fine-Tuning Contamination in Language Models Two-Fidelity Best-Action Identification for Stochastic Minimax Tree Decentralized Instruction Tuning: Conflict-Aware Splitting and Weight Merging Fair Finetuning Mitigates Distribution Inference Attacks A Note on Stability for Orthogonalized Matrix Momentum with Client Sampling Post-Deterministic Distributed Systems: A New Foundation for Trustworthy Autonomous Infrastructure Shortcut to Nowhere: Demystifying Deep Spurious Regression Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task Streams FLARE: Diffusion for Hybrid Language Model Tree-Guided Identify-Then-Exploit: A Unified Framework of Best Arm Identification and Regret Minimization for Dueling Bandits Learning Implicit Bias in Generative Spaces for Accelerating Protein Dynamics Emulation Mos-Gen: A Generative Molecular Framework for Mosquito Insecticide Design ContinuousBench: Can Differentially Private Synthetic Text Improve Capabilities? A Theoretical Framework for Self-Play Theorem Proving Algorithms Continual Learning as a Multiphase Moving-Boundary Problem Task-Induced Representational Invariances Depend on Learning Objective in Deep RL G2LoRA: Gradient Orthogonal Low-Rank Adaptation Framework for Graph Continual Learning on Text-Attributed Graphs Beyond the Simplex: Balanced Prototype Geometry for Scorer-Agnostic Open-Set Recognition Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation Private and Stable Test-Time Adaptation with Differential Privacy HMPO: Hybrid Median-length Policy Optimization for Chain-of-Thought Compression Randomized Least Squares Value Iteration itself is Joint Differentially Private Flow-Transformed Implicit Processes for Function-Space Variational Inference A Closer Look at In-Distribution vs. Out-of-Distribution Accuracy for Open-Set Test-time Adaptation Why Do Time Series Models Need Long Context Windows? Evaluating Real-World Generalizability of Algorithm Selection Models OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Realistic noise synthesis reduces bias and improves tissue microstructure estimation with supervised machine learning Ablating Archetypes: The Stability of Archetypal SAEs is an Artifact of Initialization and Metric Design Planar Symmetric Pattern Generation Beyond $\ell_2$-norm and $\ell_\infty$-norm: A Curvature-Inspired $\ell_p$-Norm Scheme for Deep Neural Networks When Tabular Foundation Models Transfer Across Modalities: A Systematic Evaluation Across 95 Datasets, 7 Modalities, and Two Regimes How Hard Can It Be? Hardness-Aware Multi-Objective Unlearning Variational Learning for Insertion-based Generation Rethinking Evaluation Paradigms in IBP-based Certified Training Edge-aware Decoding for Neural Asymmetric Routing VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting TimeBlocks: Foundational and Continual Time-Series Blockbase -- Extended Version Hybrid Neural Ordinary Differential Equations for Data-Efficient Polymerization Modeling with Incomplete Kinetics EEG-FuseFormer: A Transformer-Driven Feature Fusion Framework for Seizure Onset Prediction Closing the Alignment-Maturity Gap in Federated Prototype Learning Low-Pass Flow Matching On the Generalization in Topology Optimization via Sensitivity-Conditioned Bernoulli Flow Matching Coherent Off-Policy Improvement of Large Behavior Models with Learned Rewards Model Multiplicity and Predictive Arbitrariness in Recidivism Risk Assessment Faster Synchronous On-Policy RL via Straggler-Aware Group Sizing Network Learning with Semi-relaxed Gromov-Wasserstein A Doeblin-Anchored Contrastive Chart for Learning Markov Transition Kernels Why Are DMD Students Lazy? Understanding the Copying Behavior in Few-Step Distillation BlockGen: Flexible Blockwise Sequence Modeling with Hybrid Samplers ArrythML: An Autoencoder-Based TinyML Approach for On-Device Arrhythmia Detection on Resource-Constrained Embedded Systems A combination of noise and bilateral filters achieve supralinear and scalable adversarial robustness in CNNs CityTrajBench: A Unified Benchmark for City-Scale Vehicle Trajectory Generation Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization Regularized Large Neighborhood Search Measurement Geometry and Design for Trustworthy Generative Inverse Problems Repurposing Adversarial Perturbations for Continual Learning: From Defense to Active Alignment Riemannian Gradient Descent for Low-Rank Architectures Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging Local Preferential Bayesian Optimization Minimax-Optimal Policy Regret in Partially Observable Markov Games FOAM: Frequency and Operator Error-Based Adaptive Damping Method for Reducing Staleness-Oriented Error for Shampoo When Do Attention Circuits Form? Developmental Trajectories of Capability and Attention-Sink Emergence Across Three 1B-ClassArchitectures TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks Policy and World Modeling Co-Training for Language Agents A Local Perturbation Theory for Cross-Domain Interference and Recovery in Multi-Domain RL On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Speculative Sampling For Faster Molecular Dynamics Expressivity of congruence-based architectures for DNNs on positive-definite matrices A Biconvex Formulation for Stable Transport of Mixture Models with a Unique Solution Drifting Preference Optimization for One-Step Generative Models IntraShuffler: A Privacy Preserving Framework for Heterogeneous DP Federated Learning Guidance for Low-Level Perceptual Editing in Unconditional Diffusion Models RuleEdit: Failure-Guided Human-AI Model Editing with Prospective Impact Preview SENSE: Semantic Embedding Navigation with Soft-gated Evaluation for Retrieval-based Speculative Decoding TrustLDM: Benchmarking Trustworthiness in Language Diffusion Models Product-Aware Deep Autoencoders for Robust Process Monitoring in Multi-Product Cyber-Physical Systems Physics-Informed Neural Networks for Radial Consolidation of Combined Electroosmotic, Vacuum and Surcharge Preloading Considering Smear Effects Reinforcement Learning for Optimal Experiment Design in Parameter Identification of Mechatronic Systems Machine Learning-Based Bitcoin Trading Under Transaction Costs: Evidence From Walk-Forward Forecasting Rare Events, Real Signals: Functional Ensembles as Units of Computation in Deep Spiking Networks CLSP-REQA: A Real-Time Quality-Aware Closed-Loop Seizure Prediction Framework with Mamba-BiLSTM and Confidence-Gated Intervention Planktonzilla: Multimodal dataset and models for understanding plankton ecosystems SentimentLens: Reconciling Sentiment and Ratings via Dual-Modality in the Hospitality Sector A Methodological Framework for Explicit Control of the Speed-Accuracy Trade-off in Brain-Computer Interfaces Motif-based morphology signatures for interpretable ECG screening and monitoring VDSB-GWSyn: Diffusion Schr\"{o}dinger Bridge for Controllable and Anatomically Feasible Guidewire Synthesis in Coronary Angiography ChWDTA: Channel-wise Wavelet-Domain Transformer Attention and Entropy Modeling for Learned Image Compression Physics from Video: Identifiability of Time-Invariant Second-Order ODEs under Minimal Trajectory Conditions Enhancing BiGRU with a KAN Block for Legal Document Classification and Summarization SpikeWFM: Spiking-Aided Wireless Foundation Model for Robust Channel Prediction CardioLens: Revealing the Clinical Reality Gap of MLLMs via Multi-Sequence Cardiac MRI Evaluations Positional Encodings Anchor Spatial Structure in Vision Transformers: A Geometric Perspective on Robustness Multimodal Music Recommendation System using LLMs AI-PROPELLER: Warehouse-Scale Interprocedural Code Layout Optimization with AlphaEvolve XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Interpreting FCDNNs via RG on Exponential Family Improving IoT Intrusion Detection Through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data Modeling Robotics Dataset Construction as an Artifact-Based Build Process PaintBench: Deterministic Evaluation of Precise Visual Editing 21cmEMUv3: a hybrid diffusion-LSTM emulator of 21cmFAST summary observables Continuous Reasoning for Vision-Language-Action TIGER: Traceable Inference with Graph-Based Evidence Routing for Mitigating Hallucinations in Multimodal Generation HOIST: Humanoid Optimization with Imitation and Sample-efficient Tuning for Manipulating Suspended Loads Per-Group Error, Not Total MSE: Fine-Tuning Vision-Language-Action Models for 11-DoF Mobile Manipulation LastAct: Trajectory-Guided Latest-Activity Localization for Real-Time Smart-Home Activity Recognition ReFLEX: Length-Generalizable CSI Denoising for MIMO-OFDM via Relative-Frequency Bias Out-of-Distribution generalization of quantile regression with heavy tailed inputs: an SVM approach KISS: Keeping it Simple and Slotted when Learning to Communicate over Wireless StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement Robust Shielding for Safe Reinforcement Learning Bit-Exact AI Inference Verification Without Performance Tradeoffs Flow Matching for Convective-Scale Precipitation Downscaling The Representation-Rationalizability Tradeoff in Reward Learning Is Zero-Shot Super-Resolution Possible in Operator Learning? Symmetric Hermite quadrature-based balanced truncation for learning linear dynamical systems from derivative data ERICA: Quantifying Replicability of Cluster Analysis How Generation Architecture Shapes Code Complexity in Multi-Agent LLM Systems: A Paired Study on HumanEval Stochastic Rounding Increases Small Singular Values Cluster Analysis with Resampling for Validation and Exploration (CARVE) Benchmarking Recursive-Collapse Warning Claims Under Matched False-Positive Control From Noise to Control: Parameterized Diffusion Policies Quantifying the Salience of Geo-Cultural Values for Pluralistic Safety Alignment The Deterministic Horizon: When Extended Reasoning Fails and Tool Delegation Becomes Necessary Behavior Cloning of MPC for 3-DOF Robotic Manipulators Data-Driven Spectral Prediction for Accelerating Large-Scale Electronic Structure Calculations Rethinking Amortized Neural Representations for High-Resolution Terrain Elevation Data Riemannian Stochastic Optimization for Sufficient Dimension Reduction Parameter-Free and Group Conditional Online Conformal Prediction UniPinRec: Unifying Generative Retrieval and Ranking at Pinterest Scale DarkVesselNet: Multi-Modal Remote Sensing and Trajectory Reasoning for Dark Vessel Detection Short-form Text Rewriting with Phi Silica On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance CodeCytos: AI-assisted spatial molecular imaging analysis via code-augmented agent action space Annotation-Informed Block-Sparse Bayesian Modeling for cis-Expression Prediction Easy, robust approximate message passing for planted spike models EnergyMamba: An Uncertainty-Aware Graph-Enhanced Selective State Space Model for Energy Consumption Prediction In-Expectation Convergence of Stochastic Gradient Methods under Heavy-Tailed Noise CAFOSat: A Strongly Annotated Dataset for Infrastructure-Aware CAFO Mapping Using High-Resolution Imagery DeepLatent: Think with Images via Parallel Latent Visual Reasoning Improving Visual Representation Alignment Generation with GRPO Spectra-Guided Neural Tucker Factorization Quality Audio Prototyping: a prototype system for unified sound retrieval and procedural generation French parsing enhanced with a word clustering method based on a syntactic lexicon Taming the Loss Landscape of PINNs with Noisy Feynman-Kac Supervision: Operator Preconditioning and Non-Asymptotic Error Bounds On Median of Incomplete U-Statistics Manifold Diffusion for Structure Generation of Transition Metal Complexes Cortex and subcortex play distinct roles over learning when cortical memory is limited AXIOM: A Trust-First Neuro-Symbolic Execution Architecture for Verifiable Mathematical Reasoning Medication-Aware Financial Exploitation Detection for Alzheimer's Patients Using Edge-Aware Interaction Risk Modeling Regularized Offline Policy Optimization with Posterior Hybrid Bayesian Belief Information-Theoretic Lower Bounds for Bit-Constrained Stochastic Optimization via a Reduction to Compressed Gaussian Mean Estimation MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition SHARP: Sleep-based Hierarchical Accelerated Replay for Long Range Non-Stationary Temporal Pattern Recognition ViBE: Co-Optimizing Workload Skew and Hardware Variability for MoE Serving Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders Causal Density Functions Internalize the Temperature: On-Policy Self-Distillation as Policy Reheater for Reinforcement Learning Statistical Testing on Directed Graphs by Surrogate Data Generation Benchmark Dataset for Catalysis on 2D MXenes DASH: Dual-Branch Score Distillation for Guidance-Calibrated Compact Diffusion Models Quality-Diversity Evolution for Discovering Diverse Vulnerabilities in LLM Safety Generative Diffusion Priors for 3D Mapping of the Dark Universe Cross-Generational Transfer of Adversarial Attacks Reveals Non-Monotonic Safety Alignment in LLMs Subliminal Learning is a LoRA Artifact Hybrid Probabilistic Forecasting of Under-Five Malaria Admissions in Ghana: A Gaussian Process Regression with Holt-Winters Smoothing Coarse-to-Fine Compositional Diffusion for Long-Horizon Planning MoEIoU: Rethinking Bounding-Box Regression as a Mixture of Experts Sympatheia: Emotionally Adaptive Voice Assistant with Continuous Affect Conditioning RefDiffNet: Learning to Expose Subtle PCB Defects Before Detection Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers A Lightweight Hybrid MLP-Based Framework for Real-Time Phishing URL Detection Using Structural URL Features Tiny Recursive Models for Solving the J2-Perturbed Lambert Problem Reason, Retrieve, Re-rank: A Zero-Shot Reasoning-Aware Framework for Composed Video Retrieval Bandit Simulation for Average Reward Inference Towards Lightweight Reliability: Using Soft Prompts for Hallucination Mitigation in Large Language Models Single-Channel Tissue Segmentation via Cross-Modal Distillation from Foundation Models Detection vs. Execution: Single-Bucket Probes Miss Half the Mamba-2 State Sink Efficient Synthetic Network Generation via Latent Embedding Reconstruction Machine Learning Surrogate Modeling for Homogenization of Hyperelastic Materials with Boolean Microstructures Lodestar: An Online-Learning LLM Inference Router Prospect-Theory Behavior from Bellman Optimality in MDPs with Catastrophic States Practical and Optimal Algorithm for Linear Contextual Bandits with Rare Parameter Updates Theoretical Analysis of Engression and Reverse Markov Engression Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation Temporally-Aligned Evaluation for Audio-Driven Talking Head Generation 3DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code MENTIS: What Belief Changes Under Alignment? Measuring Multi-Scale Latent Torsion in Language Models Leyline: KV Cache Directives for Agentic Inference Test-Time Training for Zero-Resource Dense Retrieval Reranking Measuring the Symmetry--Data Exchange Rate How (and when) can you fit examples to logic-based hypothesis classes over infinite structures? Accelerating physics-informed neural networks for full waveform inversion using a hybrid quantum-classical finite-basis architecture Context-aware child-directed speech detection from long-form recordings The Shape of Wisdom: Decision Trajectories in Language Models Feature Alignment Determines Fusion Strategy: A Comparative Study of Cross-Attention and Concatenation in Multimodal Learning Analysis of Ethnic Disparities in Autism Spectrum Disorder among Toddlers Differing Roles of Leisure and Productivity in GDP - A Machine Learning based comparative analysis of Germany and USA Training-Free Imitation Learning with Closed-Form Diffusion Policies Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to Intervention Efficient Approximation for Encoder--Decoder Neural Operators via Variation Spaces Distribution-free changepoint localization after sequential change detection KG-FairDiff: Knowledge Graph-Guided Prompt Refinement for Demographically Fair Text-to-Image Generation BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution Don't Read Everything: A Curvature-Conditioned Query for Linear Attention SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories SEArch: Optimistic Policy Selection Between Scene Noise and Drift for UAV Radar Search Towards Optimal Robustness in Learning-Augmented Paging GuidaPA: Privacy-Preserving Chatbot for Public Administration via Federated Learning Autopilot-Preserving Residual Q-Learning with HJB-Inspired Finite-Action Risk Filtering for Fixed-Wing UAV Command Supervision Differentially Private Datastore Generation for Retrieval-Augmented Inference On the Uncertainty Quantification Ability of Tabular Foundation Models Self-Revising Discovery Systems for Science: A Categorical Framework for Agentic Artificial Intelligence Spatially Distributed Task-Oriented Compression for Multi-Emitter Localization and Characterization with Spectral Overlap Transferring Information Across Interventions in Causal Bayesian Optimization An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models Computation-Aware Kalman Filtering with Model Selection for Neural Dynamics Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence Hierarchical Online Prompt Mutation with Dual-Loop Feedback for Guardrailed Evidence Document Generation: A Production-Evaluation Case Study Perception First: A Frontier Native-Video Model with Self-Consistency for Implicit Video Question Answering Semantic Retrieval for Product Search in E-Commerce Compliance-Scored Best-of-N Guardrail Orchestration for Multimodal Document Generation in Payments Dispute Defense Multi-Agent Computer Use PaCX-MAE: Physiology-Augmented Chest X-Ray Masked Autoencoder MPMWorlds: Material-Point-Method Simulations for Inferring and Extrapolating Physical Dynamics Scalable Counterfactual Risk Estimation for Rare Events in Longitudinal Data S-SPPO: Semantic-Calibrated Self-Play Preference Optimization TLG: Temporal-Logic Grounding for Video Question Answering via Source-Annotation Reconstruction and Category-Targeted Reasoning Learning Chaotic Dynamics through Second-Order Geometric Supervision Self-Improving Small Object Grounding in LVLMs ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RL Self-Regulating Annealing in Heavy-Tailed Diffusion Models MINTS: Minimalist Thompson Sampling Don't Let a Few Network Failures Slow the Entire AllReduce Off-the-Shelf LLMs as Process Scorers: Training-Free Alternative to PRMs for Mathematical Reasoning IstGPT: LLM-based Anomaly Detection for Spatial-Temporal Graph in Industrial Systems Understanding Identity Continuity in Thermal Video through Scene-Level Consistency KDH-CAD: Knowledge-data hybrid CAD learning under data scarcity Density-Aware Translation of Spurious Correlations in Zero-Shot VLMs Characterization of Multi-Model Agentic AI Systems on General Tasks via Trace-Driven Simulation Evidence-Gated LLM Priors for Multi-Objective Bayesian Optimization FlatVPR: Plug-and-play Geo-linear Residual Adapter for Geometric Rectification of Foundation Model Feature Manifolds Sensitivity as a Double-Edged Sword: A Trade-off Between Discriminability and Adversarial Robustness Accelerating Min-Max Optimization via Power-Law Stepsizes An Algebraic View of the Expressivity of Recurrent Language Models Multilinguality of Large Language Models From a Structural Perspective ProbeScale: Probing Analysis to Optimize Neural Scaling Laws for Efficient Small Language Model Inference "I've Seen How This Goes": Characterizing Diversity via Progressive Conditional Surprise Site4Drug: Predicting Drug-Binding Target Sites with an AI Agent Adaptive Sharpness-Aware Minimization with a Polyak-type Step size: A Theory-Grounded Scheduler LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models Observation, Not Prediction: Conversation-Level Disaggregated Scheduling for Agentic Serving The Lie We Tell: Correcting the Euclidean Fallacy in Vision Language Action Policies via Score Matching on Tangent Space MidSurfNet: Learnable Face Pairing and Interference Implicit Fields for Generalized Mid-surface Abstraction Resonant Context Anchoring: Decoupling Attention Routing and Signal Gain at Inference Time Learning Action-Conditional and Object-Centric Gaussian Splatting World Models for Rigid Objects Graph Edit Distance Formulation for the Vehicle Routing Problem: Theory and Analysis A Structured Benchmark for Text-Guided Anomaly Detection: When Language Stops Conditioning the Decision MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills? Machine Learning for Coding Retail Product Names to Consumer-Price Categories: A Rule-plus-Bag-of-Words Pipeline with Reliability-Weighted Human-in-the-Loop Labeling Provable Data Scaling Law for Meta Learning via Complexity Minimization Extreme Low-Bit Inference in Reasoning Models: Failure Modes and Targeted Recovery Unveiling the Entropy Dynamics of Chain-of-Thought Reasoning Ranking vs. Assignment: The Metric Mismatch in Multi-View Object Association World-Task Factorization for Robot Learning RL-ACRGNet: Reinforcement Learning-Based Chest Radiology Report Generation Network Uncertainty-Aware Graph Neural Reconstruction of Urban Temperature Fields from Sparse Sensors under Deployment Constraints Convex Distance Operator Transport: A Convex and Geometry-Preserving Formulation Query-Limited Community Recovery in Stochastic Block Models The Role of Ambiguity in Error Prediction via Uncertainty Quantification It does what it says on the tin: safe synthetic data from coarsened margins Network Distributed Multi-Agent Reinforcement Learning for Consensus Control of Quadcopters Error Bounds for a Diffusion Model-Based Drift Estimator ProbRes: Volatility Learning for Probabilistic Time-Series Forecasting Understanding-Enhanced Model Collaboration for Long-Tailed Egocentric Mistake Detection Predicting the risk of colorectal anastomotic leak based on preoperative mapping of the blood supply of the bowel Disentanglement-Based Equivariant Learning for Compositional VQA The Ghost Couple: Correlated LLM Name Priors and Their Haunting of the Web and Academic Publishing CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations Bayesian meta-learning for modeling Alzheimer's disease progression Identifiable Markov Switching Models with Instantaneous Effects and Exponential Families Towards Resolving Optimization Conflicts Between Image- and Text-Based Person Re-Identification ShaplEIG: Bayesian Experimental Design for Shapley Value Estimation Cross-modal linkage risk in clinical vision-language models Physics-Guided Recurrent State-Space Neural Networks for Multi-Step Prediction Deep Learning for Remote Sensing to Improve Flood Inundation Mapping Hallucination-Aware Diffusion Sampling for Inverse Problems via Robust Prior Updates Forget Attention: Importance-Aware Attention Is All You Need Parameter-efficient Dual-encoder Architecture with Differentiable Choquet Integral Fusion for Underwater Acoustic Classification Doing well with less! On Sampling Techniques for Empirical Pairwise Loss Estimation/Minimization SIRI: Self-Internalizing Reinforcement Learning with Intrinsic Skills for LLM Agent Training A Mathematical Conflict Framework for Contextual Data Modulation How Optimality Structures Sparse Dictionaries: A Theory for Understanding SAE Representations Investigating and Alleviating Harm Amplification in LLM Interactions GC-MoE: Genomics-Guided Cell-Type-Specific Mixture of Experts for Histology-Based Single-Cell Spatial Transcriptomics Spectral Audit of In-Context Operator Networks ODTQA-FoRe: An Open-Domain Tabular Question Answering Dataset for Future Data Forecasting and Reasoning HLL: Can Agents Cross Humanity's Last Line of Verification? Physics-Informed Residuals for Adaptive Mesh Refinement in Finite-Difference PDE Solvers Iteris: Agentic Research Loops for Computational Mathematics Towards Automated Discovery: A Review of Generative Models, Multimodal Learning and Closed-Loop Workflows in Inverse Materials Design Auditing Asset-Specific Preferences in Financial Large Language Models: Evidence from Bitcoin Representations and Portfolio Allocation Permissive Safety Through Trusted Inference: Verifiable Belief-Space Neural Safety Filters for Assured Interactive Robotics ProtoAda: Prototype-Guided Adaptive Adapter Expansion and Geometric Consolidation for Multimodal Continual Instruction Tuning Rule Extraction in Machine Learning: Chat Incremental Pattern Constructor c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization Variable Clustering via Distributionally Robust Nodewise Regression Stability Analysis of Sharpness-Aware Minimization Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning Optimizing accuracy and diversity: a multi-task approach to forecast combinations MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment AutoEval Done Right: Using Synthetic Data for Model Evaluation Perturbation Effects on Accuracy and Fairness among Similar Individuals Practical Aspects on Solving Differential Equations Using Deep Learning: A Primer Random Erasing vs. Model Inversion: A Promising Defense or a False Hope? Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Implicit Regularization for Multi-label Feature Selection Nonlinear Equilibrium Transitions in a Potential Game Model for Federated Learning A Foundation Model for Wearable Movement Data in Mental Health Research Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep Learning OP-LoRA: The Blessing of Dimensionality LeARN: Learnable and Adaptive Representations for Nonlinear Dynamics in System Identification Challenges in the calibration of tree-based models for imbalanced classification Introduction to Graph Neural Networks for Machine Learning Engineers Towards Simple and Provable Parameter-Free Adaptive Gradient Methods Quantum Reservoir Computing and Risk Bounds Efficient Weighted Sampling via Score-based Generative Models Efficient LLM Moderation with Multi-Layer Latent Prototypes Position: Neglecting the Sustainability of AI is Fuelling a Global AI Arms Race Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models Interpretable Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification using Multi-Omics Data Scalable Ride-Sourcing Vehicle Rebalancing with Service Accessibility Guarantee: A Constrained Mean-Field Reinforcement Learning Approach GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework Advancing Local Clustering on Graphs via Compressive Sensing: Semi-supervised and Unsupervised Methods Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation Byte Pair Encoding for Efficient Time Series Forecasting LLMSynthor: Macro-Aligned Micro-Records Synthesis with Large Language Models Human in the Loop Adaptive Optimization for Improved Time Series Forecasting Beyond Discreteness: Sample Complexity Analysis of Straight-Through Estimator for 1-bit Quantization RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Can LLMs Reason Structurally? Benchmarking via the Lens of Data Structures Value-Free Policy Optimization via Reward Partitioning Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension Model Parallelism With Subnetwork Data Parallelism Toward accurate RUL and SoH estimation using reinforced graph-based physics-informed neural networks enhanced with dynamic weights Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design Evaluating and Learning Robust Bandit Policies Under Uncertain Causal Mechanisms VRPRM: Process Reward Modeling via Visual Reasoning Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction TuneAgent: Agentic Operating System Kernel Tuning with Reinforcement Learning AdaptiveK: Complexity-Driven Sparse Autoencoders for Interpretable Language Model Representations Fundamental bounds on efficiency-confidence trade-off for transductive conformal prediction Towards a Physics Foundation Model VMDNet: Temporal Leakage-Free Variational Mode Decomposition for Electricity Demand Forecasting d2: Improving Reasoning in Diffusion Language Models via Trajectory Likelihood Estimation FedCF: Fair Federated Conformal Prediction Interpretable Self-Supervised Learning via Representer Landmarks and Nystr\"om Approximation Learning Hamiltonian Dynamics at Scale: A Differential-Geometric Approach T-POP: Test-Time Personalization with Online Preference Feedback Distillation of Large Language Models via Concrete Score Matching Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards Chaining 2-FWL GNNs for Combinatorial Graph Alignment Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability From Moments to Models: Graphon-Mixture Learning for Mixup and Contrastive Learning Neural Low-Discrepancy Sequences Margin Adaptive DPO: Leveraging Reward Model for Granular Control in Preference Optimization Generalization of Gibbs and Langevin Monte Carlo Algorithms in the Interpolation Regime BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining Value Flows FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning Safety Game: Inference-Time Alignment of Black-Box LLMs via Constrained Optimization Rethinking RL Evaluation: Can Benchmarks Truly Reveal Failures of RL Methods? Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Optimal Regularization for Performative Learning Learning-To-Measure: In-Context Active Feature Acquisition UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations Symmetries in PAC-Bayesian Learning Tractable Shapley Values and Interactions via Tensor Networks Symbolic Neural Generation with Applications to Lead Discovery in Drug Design The Geometry of Grokking: Norm Minimization on the Zero-Loss Manifold DuetServe: Harmonizing Prefill and Decode for LLM Serving via Adaptive GPU Multiplexing Scaling depth capacity via zero/one-layer model expansion Iterated Population Based Training with Task-Agnostic Restarts FIRM: Federated In-client Regularized Multi-objective Alignment for Large Language Models How to Correctly Report LLM-as-a-Judge Evaluations WUSH: Near-Optimal Adaptive Transforms for LLM Quantization Position: Current Benchmarking Hinders Real Progress in Deep Learning for Time Series Forecasting Early Prediction of Liver Cirrhosis Up to Two Years in Advance: A Machine Learning Study Benchmarking Against the FIB-4 and APRI Scores Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation Multigrade Neural Network Approximation Physics-Encoded Inverse Modeling for Arctic Snow Depth Prediction Robust Learning of a Group DRO Neuron Multi-Objective Reinforcement Learning for Tactical Decision Making for Trucks in Highway Traffic When Does Predictive Inverse Dynamics Outperform Behavior Cloning? SurrogateSHAP: Training-Free Contributor Attribution for Text-to-Image (T2I) Models Knowledge-Informed Kernel State Reconstruction from Heterogeneous Partial Observations GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning Quartet II: Accurate LLM Pre-Training in NVFP4 by Improved Unbiased Gradient Estimation LRAgent: Efficient KV Cache Sharing for Multi-LoRA LLM Agents Zero-Shot Off-Policy Learning Probabilistic Performance Guarantees for Multi-Task Reinforcement Learning Interpretability in Deep Time Series Models Demands Semantic Alignment naPINN: Noise-Adaptive Physics-Informed Neural Networks for Recovering Physics from Corrupted Measurement The Alignment Curse: Modality Alignment Supercharges Audio Attacks via Text Transfer Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks Causal Evaluation of Membership Inference Attacks Mixture of Concept Bottleneck Experts From Zero to Hero: Advancing Zero-Shot Foundation Models for Tabular Outlier Detection Consistency Deep Equilibrium Models Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs Equilibrium Propagation for Non-Conservative Systems Universal One-third Time Scaling in Learning Peaked Distributions Echo State Networks for Time Series Forecasting: Hyperparameter Sweep and Benchmarking From Evaluation to Design: Using Potential Energy Surface Smoothness Metrics to Guide Machine Learning Interatomic Potential Architectures Adaptive Exploration for Latent-State Bandits Inverse Depth Scaling From Most Layers Being Similar Can Vision Language Models Learn Intuitive Physics from Interaction? Tempora: Characterising the Time-Contingent Utility of Online Test-Time Adaptation Principle-Evolvable Scientific Discovery via Uncertainty Minimization Sharpness-Aware Hybrid Model Learning for Architecture-Agnostic Parameter Estimation Collaborative and Efficient Fine-tuning: Leveraging Task Similarity Vegas: Self-Speculative Decoding with Verification-Guided Sparse Attention Controllable Value Alignment in Large Language Models through Neuron-Level Editing Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction Gradient Preconditioning for Efficient and Reliable Reward-Guided Generation Learning To Sample From Diffusion Models Via Inverse Reinforcement Learning AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection Learning to Remember, Learn, and Forget in Attention-Based Models Online Learning in MDPs with Partially Adversarial Transitions and Losses Beware of the Batch Size: Hyperparameter Bias in Evaluating LoRA A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula WildCat: Near-Linear Attention in Theory and Practice Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling Both Topology and Text Matter: Revisiting LLM-guided Out-of-Distribution Detection on Text-attributed Graphs PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML You Can Learn Tokenization End-to-End with Reinforcement Learning Atomix: Timely, Transactional Tool Use for Reliable Agentic Workflows SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification PETS: A Principled Framework Towards Optimal Trajectory Allocation for Efficient Test-Time Self-Consistency Parallel Complex Diffusion for Scalable Time Series Generation Are LLMs Ready for Neural-integrated Mechanistic Modeling? A Benchmark and Agentic Framework LERD: Latent Event-Relational Dynamics for Neurodegenerative Classification Adaptive Time Series Reasoning via Segment Selection IDLM: Inverse-distilled Diffusion Language Models Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features Position: Stop Preaching and Start Practising Data Frugality for Responsible Development of AI Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited Supervision On Imbalanced Regression with Hoeffding Trees Induction Meets Biology: Mechanisms of Repeat Detection in Protein Language Models LK Losses: Direct Acceptance Rate Optimization for Speculative Decoding Flow-Based Density Ratio Estimation for Intractable Distributions with Applications in Genomics Stabilizing Policy Optimization via Logits Convexity Understanding LoRA as Knowledge Memory: An Empirical Analysis Concept Heterogeneity-aware Representation Steering Length Generalization Bounds for Transformers Improving Diffusion Planners by Self-Supervised Action Gating with Energies Step-Level Sparse Autoencoder for Reasoning Process Interpretation Flowers: A Warp Drive for Neural PDE Solvers Heterogeneous Decentralized Diffusion Models ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning A Grammar of Machine Learning Workflows: Rejecting Data Leakage at Call Time Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning Geometry-Aware Probabilistic Circuits via Voronoi Tessellations Frequentist Consistency of Prior-Data Fitted Networks for Causal Inference DAPD: Dependency-Aware Parallel Decoding via Attention for Diffusion LLMs ES-Merging: Biological MLLM Merging via Embedding Space Signals AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs What Cosine Similarity of Label Representations Can and Cannot Tell us Real-Time Sensing of Inaccessible Physical Fields via an Edge-Deployable Hardware-Portable Graph Neural Operator Automated Conjecture Resolution with Formal Verification Which Leakage Types Matter? A Quantitative Landscape Across 2,047 Benchmark Datasets A Theoretical Framework for Statistical Evaluability of Generative Models A Direct Approach for Handling Contextual Bandits with Latent State Dynamics U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting Representation over Routing: Diagnosing Temporal Routing Pathologies in Multi-Timescale PPO Mean Flow Policy Optimization Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models Efficient Diffusion Models under Nonconvex Equality and Inequality constraints via Landing Sheaf Neural Networks on SPD Manifolds: Second-Order Geometric Representation Learning Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks Consistent Diffusion Language Models Mesh Field Theory: Port-Hamiltonian Formulation of Mesh-Based Physics Possibilistic Predictive Uncertainty for Deep Learning Divergence is Uncertainty: A Closed-Form Posterior Covariance for Flow Matching Continuous Temporal Representations of Event-Based Signals via Interference-Based Wave Modeling Robust Linear Dueling Bandits with Post-serving Context under Unknown Delays and Adversarial Corruptions STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities Unsat Core Prediction through Polarity-Aware Representation Learning over Clause-Literal Hypergraphs MidSteer: Optimal Affine Framework for Steering Generative Models Why Self-Inconsistency Arises in GNN Explanations and How to Exploit It Prune-OPD: Efficient and Reliable On-Policy Distillation for Long-Horizon Reasoning Exploring and Exploiting Stability in Latent Flow Matching Learning-Augmented Scalable Linear Assignment Problem Optimization via Neural Dual Warm-Starts Language Modeling with Hyperspherical Flows Test-Time Compute for Frozen Embedding Models through Agentic Program Search OGLS-SD: On-Policy Self-Distillation with Outcome-Guided Logit Steering for LLM Reasoning Multi-Rollout On-Policy Distillation via Peer Successes and Failures RISED: A Pre-Deployment Evaluation Framework for High-Stakes AI Decision-Support Systems, with Application to Healthcare Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective Do Heavy Tails Help Diffusion? On the Subtle Trade-off Between Initialization and Training Topology-Preserving Neural Operator Learning via Hodge Decomposition OgBench: A Framework for Evaluating Graph Neural Networks on Omics Data Avoiding Structural Failure Modes in Tabular Fair SSL: Online Primal-Dual Allocation under Confidence Gating Physics-Guided Geometric Diffusion for Macro Placement Generation Privacy Policy Enforcement Guardrails for Data-Sensitive Retrieval-Augmented Generation DynMuon: A Dynamic Spectral Shaping View of Muon Balancing Knowledge Distillation for Imbalance Learning with Bilevel Optimization Lying Is Just a Phase: The Hidden Alignment Transition in Language Model Scaling Decision-Path Patterns as Tree Reliability Signals: Path-based Adaptive Weighting for Random Forest Classification Finite-Time Regret Analysis of Retry-Aware Bandits Advantage Collapse in Group Relative Policy Optimization: Diagnosis and Mitigation Graph Navier Stokes Networks PRISM: Preference-Aware Influence Function Based Data Selection Method for Efficient Fine-Tuning Dropout Universality: Scaling Laws and Optimal Scheduling at the Edge-of-Chaos Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks The Attribution Contract: Feature Attribution for Generative Language Models Treatment Effect Estimation with Differentiated Networked Effect on Graph Data Measuring Alignment-Induced Activation Shifts Correctly: A Template-Controlled Difference-in-Differences Protocol Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark GoQuant: Geometric Orthogonal Residual Projection for Multiplier-Free Power-of-Two Transformer Quantization Classification and detection of multiple UAVs using rational Gaussian wavelet neural networks RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models WINDQuant: Weight-Informed Neural Decision-Making for Global Mixed-Precision LLM Quantization Beyond Trajectory-Level Attribution: Graph-Based Credit Assignment for Agentic Reinforcement Learning Agile Online Model Selection: Resolving Adaptation Lag via Safeguarded Large Learning Rates Adversarial Dual On-Policy Distillation from Expressive Teacher CAREF: Calibration-Aware Regularization for Explanation Faithfulness Without Rationale Supervision Robust Contrastive Graph Clustering with Adaptive Local-Global Integration Dimensionality Reduction for Robust Federated Learning: A Theoretical Analysis and Convergence Guarantee Representation Signatures and Risk-Feedback Alignment in LLM Trading Agents Ensemble Score Filtering for Real-Data Energy Consumption Forecast Correction TIMEGATE: Sustainable Time-Boxed Promotion Gates for Continual ML Adaptation Under Resource Constraints BlockBatch: Multi-Scale Consensus Decoding for Efficient Diffusion Language Model Inference Robust Frequency-Calibrated Virtual EEG Channel Generation from Four Frontal Electrodes for Wearable EEG Augmentation Honest Lying: Understanding Memory Confabulation in Reflexive Agents Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention MIC: Maximizing Informational Capacity in Adaptive Representations via Isotropic Subspace Alignment Beyond MSE: Improving Precipitation Nowcasting with Multi-Quantile Regression CalArena: A Large-Scale Post-Hoc Calibration Benchmark Mean-Field Diffuser: Scaling Offline MARL to Thousands of Agents Self-Trained Verification for Training- and Test-Time Self-Improvement Beyond Additive Decompositions: Interpretability Through Separability Scalable Inference-Time Annealing with Surrogate Likelihood Estimators GottBERT: a pure German Language Model Incentivized Collaboration in Active Learning Discovering Nonlinear Static Relationships in Unlabeled Dataset using Autoencoder with Ordered Variance Synthesizing Neural Network Controllers with Closed-Loop Dissipativity Guarantees Unsupervised Cognition Interventional Processes for Causal Uncertainty Quantification Domain Adaptation with a Single Vision-Language Embedding Efficient Hamiltonian, structure and trace distance learning of Gaussian states Explainable AI Through a Democratic Lens: DhondtXAI for D'Hondt-Projected Feature Attribution Dimension Reduction via Sum-of-Squares and Improved Clustering Algorithms for Non-Spherical Mixtures Embedding-Space Diffusion for Zero-Shot Environmental Sound Classification Mirror Descent Under Generalized Smoothness FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting Learning to Reduce Search Space for Generalizable Neural Routing Solver Skill-Based Mixture-of-Experts: Adaptive Routing for Heterogeneous Reasoning via Inferred Skills Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning GIFT: Geometry-Induced Functional Transfer for Category-level Object Manipulation MARFT: Multi-Agent Reinforcement Fine-Tuning Atmospheric Predictability Beyond 30 Days with Machine Learning Erased but Not Forgotten: How Backdoors Compromise Concept Erasure EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion HR-VILAGE-3K3M: A Human Respiratory Viral Immunization Longitudinal Gene Expression Dataset for Systems Immunity Correcting Gradient-Based Circuit Localization via Interaction-Aware Backpropagation MAVL: A Multilingual Audio-Video Lyrics Dataset for Animated Song Translation Cellwise and Casewise Robust Covariance in High Dimensions ToMAP: Training Opponent-Aware LLM Persuaders with Theory of Mind React to Surprises: Stable-by-Design Neural Feedback Control and the Youla-REN Position: Stop Chasing the C-index when Evaluating Survival Analysis Models Exploiting Similarities in A/B Testing with Off-Policy Estimation Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution On the Theoretical Limitations of Embedding-based Link Prediction VERA: Variational Inference Framework for Jailbreaking Large Language Models Benchmarking Waitlist Mortality Prediction in Heart Transplantation Through Time-to-Event Modeling using New Longitudinal UNOS Dataset Position: Beyond Sensitive Attributes, ML Fairness Should Quantify Structural Injustice via Social Determinants Discrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policies Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Deep Learning as the Disciplined Construction of Tame Objects End-to-End Deep Learning for Predicting Metric Space-Valued Outputs DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole-Slide Image Survival Prediction Contrastive Representation Regularization for Vision-Language-Action Models Multimodal Function Vectors for Visual Relations Domain-Shift-Aware Conformal Prediction for Large Language Models GREAT: Generalizable Backdoor Attacks in RLHF via Emotion-Aware Trigger Synthesis A unifying Bayesian framework for adversarial robustness Are Large Reasoning Models Interruptible? CaptionFormer: Unified Segmentation, Tracking, and Captioning for Spatio-Temporal Objects Video Reasoning without Training OncoReason: Structuring Clinical Reasoning in LLMs for Robust and Interpretable Survival Prediction CARES: Context-Aware Resolution Selector for VLMs Generalized Guarantees for Variational Inference in the Presence of Even and Elliptical Symmetry Prototype Selection Using Topological Data Analysis Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations Optimizing Diversity and Quality through Base-Aligned Model Collaboration GNN-Enabled Robust Hybrid Beamforming with Score-Based CSI Generation and Denoising Measurement-Driven Early Warning of Reliability Breakdown in 5G NSA Railway Networks From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction Systematic Evaluation of Time-Frequency Features for Binaural Sound Source Localization Latent Reasoning in TRMs is Secretly a Policy Improvement Operator Latent Collaboration in Multi-Agent Systems Understanding the Effects of Distractors on Reasoning Vision-Language Models SpeedAug: Policy Acceleration via Tempo-Enriched Policy and RL Fine-Tuning Semimage: HSV-Based Semantic Image Encoding for Disentangled Text Representation Molecular Embedding-Based Algorithm Selection in Protein-Ligand Docking Safeguarded Stochastic Polyak Step Sizes for Non-smooth Optimization: Robust Performance Without Small (Sub)Gradients MINES: Explainable Anomaly Detection through Web API Invariant Inference ReasonBENCH: Benchmarking the (In)Stability of LLM Reasoning Interpreto: An Explainability Library for Transformers Design Space Exploration of DMA based Finer-Grain Compute Communication Overlap Calibrating Uncertainty for Zero-Shot Adversarial CLIP Control of a Twin Rotor using Twin Delayed Deep Deterministic Policy Gradient (TD3) Reinforcement Learning Position Control of a Quadrotor Using Soft Actor-Critic (SAC) Dynamic Entropy Tuning in Reinforcement Learning Low-Level Quadcopter Control: Stochasticity vs Determinism Uncovering Competency Gaps in Large Language Models and Their Benchmarks NOS-Gate: Queue-Aware Streaming IDS for Consumer Gateways under Timing-Controlled Evasion Sparse FEONet: A Low-Cost, Memory-Efficient Operator Network via Finite-Element Local Sparsity for Parametric PDEs Paradoxical noise preference in RNNs PFT: Phonon Fine-tuning for Machine Learned Interatomic Potentials Semantic-Geometric Task Representations for Bimanual Manipulation from Human Demonstrations to Robot Action Planning Characterizing the Effect of Noise in Language Generation in the Limit KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices Near-Optimal Private Tests for Simple and MLR Hypotheses Approximating $f$-Divergences with Rank Statistics Reconsidering Positional Supervision in Masked Diffusion Language Model Training PolarMem: A Training-Free Polarized Latent Graph Memory for Verifiable Vision-Language Models Non-Uniform Noise-to-Signal Ratio in the REINFORCE Policy-Gradient Estimator Well-Posed KL-Regularized Control via Wasserstein and Kalman-Wasserstein KL Divergences ForesightKV: Optimizing KV Cache Eviction for Reasoning Models by Learning Long-Term Contribution Statistical Guarantees for Reasoning Probes on Looped Boolean Circuits Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors Optimal Bayesian Stopping for Efficient Inference of Consistent LLM Answers Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching Deep networks learn to parse uniform-depth context-free languages from local statistics RAIGen: Rare Attribute Identification in Text-to-Image Generative Models The Entropic Signature of Class Speciation in Diffusion Models SWE-MiniSandbox: Container-Free Reinforcement Learning for Building Software Engineering Agents From Noise to Order: Learning to Rank via Denoising Diffusion HyperDet: 3D Object Detection with Hyper 4D Radar Point Clouds Prototype Transformer: Towards Language Model Architectures Interpretable by Design Jointly Optimizing Debiased CTR and Uplift for Coupons Marketing: A Unified Causal Framework Towards Sparse Video Understanding and Reasoning How Accurately Can a Gaussian Approximate Stochastic Approximation Iterates? DenseMLLM: Standard Multimodal LLMs for Dense Prediction Benchmarking at the Edge of Comprehension Knowing Isn't Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight Beyond Procedure: Substantive Fairness in Conformal Prediction LLM-WikiRace Benchmark: How Far Can LLMs Plan over Real-World Knowledge Graphs? LLM4Cov: Execution-Aware Agentic Learning for High-coverage Testbench Generation NestRL: A Nested Training Regime for Mutual Adaptation in Human-AI Teaming Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments Constitutional Black-Box Monitoring for Scheming in LLM Agents Reconstructing Content via Collaborative Attention to Improve Multimodal Embedding Quality Large Electron Model: A Universal Ground State Predictor SmartThinker: Progressive Chain-of-Thought Length Calibration for Efficient Large Language Model Reasoning Design-MLLM: A Reinforcement Alignment Framework for Verifiable and Aesthetic Interior Design Ethical Fairness in Ubiquitous Health Sensing without Known Attributes Preconditioned One-Step Generative Modeling for Bayesian Inverse Problems in Function Spaces scicode-lint: Detecting Methodology Bugs in Scientific Python Code with LLM-Generated Patterns MineDraft: A Framework for Batch Parallel Speculative Decoding ShapDBM: Exploring Decision Boundary Maps in Shapley Space {\lambda}Split: Self-Supervised Content-Aware Spectral Unmixing for Fluorescence Microscopy CRAFT: Fine-Grained Cost-Aware Expert Replication For Efficient Mixture-of-Experts Serving Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook Sim-to-Real Transfer for Muscle-Actuated Robots via Generalized Actuator Networks MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction Magnetic Indoor Localization through CNN Regression and Rotation Invariance FlowPlace: Flow Matching for Chip Placement How Can Reinforcement Learning Achieve Expert-level Placement? Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Adaptive Querying with AI Persona Priors GRPO-TTA: Test-Time Visual Tuning for Vision-Language Models via GRPO-Driven Reinforcement Learning ANDRE: An Attention-based Neuro-symbolic Differentiable Rule Extractor for Inductive Logic Programming DVD: Discrete Voxel Diffusion for 3D Generation and Editing ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations Towards a holistic understanding of Selection Bias for Causal Effect Identification Diffusion Models, Denoiser Architecture and Creativity Capturing LLM Capabilities via Evidence-Calibrated Query Clustering Evaluating Deep Research Agents on Expert Consulting Work: A Benchmark with Verifiers, Rubrics, and Cognitive Traps LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning A Unified Framework for Structured Flow Modeling: From Continuous Fields to Data-Driven Representations Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise Can Adaptive Gradient Methods Converge under Heavy-Tailed Noise? A Case Study of AdaGrad Auditing Privacy in Multi-Tenant RAG under Account Collusion B-GRTO: Bootstrapped Group Relative Tool Optimization for Referring Segmentation When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs Hypothesis Generation and Inductive Inference in Children and Language Models Beyond the Frontier: Stochastic Backtracking for Efficient Test-Time Scaling Capability and Robustness Cannot Both Be Free: An Information-Theoretic Bound for Vision-Language-Action Models Knowledge Graphs as the Missing Data Layer for LLM-Based Industrial Asset Operations Generic Interpretation Approach for Transformer Models Incorporating Heterogenous Attention Structures Probabilistic Data-Driven Modelling of Astrophysical Transients: The Neural Process Family for Ultrafast and Class-Agnostic Light Curve Reconstruction with NightLANP Latent-Conditioned Parameterized Quantum Circuits as Universal Approximators for Distributions over Quantum States EVL-ECG: Efficient ECG Interpretation With Multi-Aspect Heterogeneous Knowledge Distillation GRASP: Plan-Guided Graph Retrieval with Adaptive Fusion and Reranking on Semi-Structured Knowledge Bases Updating the standard neuron model in artificial neural networksArxiv cs.AI
Position Paper: Post-Solve Robustness in Decision Engines: Feasible Regions and Smoothness Under Perturbations Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis Deliberative Curation: A Protocol for Multi-Agent Knowledge Bases Agents on a Tree: Pathwise Coordination for Multi-Objective Molecular Optimization Optimal Transport-based Permutation-Invariant Bayesian Optimization of Offshore Wind Farm Layouts MindGames Arena Generalization Track: In2AI Solution with Delayed Per-Step Reward Attribution Universal Quantum Transformer Grokers: Bottom-Up Inductive Comprehension and Write-Time Intelligence over Typed Knowledge Graphs Product-Aware Deep Autoencoders for Robust Process Monitoring in Multi-Product Cyber-Physical Systems On the evolution of the concept of probability as a mirror of the evolution of reason Evaluating Interactive Reasoning in Large Language Models: A Hierarchical Benchmark with Executable Games A Multi-AI-agent Framework Enabling End-to-end Finite Element Analysis for Solid Mechanics Problems CAST: Non-Privileged Clipped Asymmetric Self-Teaching with Advantage Flipping for GRPO TIGER: Traceable Inference with Graph-Based Evidence Routing for Mitigating Hallucinations in Multimodal Generation MindZero: Learning Online Mental Reasoning With Zero Annotations Geodesic Flow Matching for Denoising High-Dimensional Structured Representations Capability Self-Assessment: Teaching LLMs to Know Their Limits Closed-Loop Neural Activation Control in Vision-Language-Action Models Robust Shielding for Safe Reinforcement Learning On Wednesdays, We Ask Questions: Optimizing "Active Listening" in Automated Legal Triage and Referral Evaluating Bivariate Causal Statements Based on Mutual Compatibility Model-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture Coupling Language Models with Physics-based Simulation for Synthesis of Inorganic Materials From Noise to Control: Parameterized Diffusion Policies From "Weak" Signals to Strong Models: Preference Delta Aggregation with LoRA Merging The Deterministic Horizon: When Extended Reasoning Fails and Tool Delegation Becomes Necessary VESTA: Visual Exploration with Statistical Tool Agents Weak Critics Make Strong Learners: On-Policy Critique Distillation for Scalable Oversight SDR: Set-Distance Rewards for Radiology Report Generation Doing What They Say, Not What They Reason: Locating the Faithfulness Gap in LLM Agents TAPS: Target-Aware Prefix Tree Selection for Diffusion-Drafted Speculative Decoding EnergyMamba: An Uncertainty-Aware Graph-Enhanced Selective State Space Model for Energy Consumption Prediction Threshold-Based Exclusive Batching for LLM Inference Acting with AI: An Interaction-Based Framework for Agentic Tort Liability KACE: Knowledge-Adaptive Context Engineering for Mathematical Reasoning Probe Before You Edit: Probing-Guided Molecular Optimization for LLM Agents in Structure-Based Drug Design PropLLM: Propagation-Aware Scene Reconstruction for Network Fault Diagnosis TRACE: Trajectory Risk-Aware Compression for Long-Horizon Agent Safety Efficient Test-time Inference for Generative Planning Models Hidden Thoughts Are Not Secret: Reasoning Trace Exposure in LLMs ForeSci: Evaluating LLM Agents for Forward-Looking AI Research Judgment AXIOM: A Trust-First Neuro-Symbolic Execution Architecture for Verifiable Mathematical Reasoning Medication-Aware Financial Exploitation Detection for Alzheimer's Patients Using Edge-Aware Interaction Risk Modeling Regularized Offline Policy Optimization with Posterior Hybrid Bayesian Belief MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition LLM-Driven Co-Evolutionary Automated Heuristic Design for Bi-Component Coupled Combinatorial Optimization Latent Reward Steering: An Adaptive Inference-Time Framework that Implicitly Promotes Cognitive Behaviors in Reasoning LLMs AI Sovereignty as National Learning Capacity: A Human-Centered Learning Mechanics Viewpoint on France, the United States, and China SHARP: Sleep-based Hierarchical Accelerated Replay for Long Range Non-Stationary Temporal Pattern Recognition CoMIC: Collaborative Memory and Insights Circulation for Long-Horizon LLM Agents in Cloud-Edge Systems FALAT: Tracing Failures in LLM Agent Trajectories via Dependency-Guided Search Interaction-Centered Intelligence: Toward Interaction as the Primary Unit of Analysis in Co-Creative AI and Human-AI Systems NBQ: Next-Best-Question for Dynamic Profiling Mitigating Hallucinations in Large Language Models Via Decoder Layer Skipping Subliminal Learning is a LoRA Artifact Decoupled Behavioral Cloning for Scalable Inductive Generalization in RL from Specifications Certificate-Guided Evaluation of Reinforcement Learning Generalization Ryze: Evidence-Enriched Data Synthesis from Biomedical Papers Adversarial Feeds Steer LLM Agent Decisions Against Their Defaults Relational Intervention During Functional Collapse in Large Language Models: A Lexical-Statistical Ablation and a Structure x Register Factorial Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition Prospect-Theory Behavior from Bellman Optimality in MDPs with Catastrophic States Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support Subliminal Learning Is Steering Vector Distillation Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approach Can AI Review Improve Paper Drafting? An Empirical Study on 20 Computer Architecture Submissions Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation TriLens: Per-Layer Logit-Lens Entropy for White-Box Hallucination Detection TravelEval: A Comprehensive Benchmarking Framework for Evaluating LLM-Powered Travel Planning Agents AnyEdit++: Adaptive Long-Form Knowledge Editing via Bayesian Surprise DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts MindClaw: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention Before the Model Learns the Bug:Fuzzing RLVR Verifiers CAREAgent: Clinical Agent with Structured Reasoning and Tool-Integrated for Order Generation Diagnosing LLM Arbitration Behavior over Pre-evidence Epistemic States in RAG-based Fact-Checking SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches Expected Value Alignment for Generative Reward Modeling in Formal Mathematics Verification Deft Scheduling of Dynamic Cloud Workflows with Varying Deadlines via Mixture-of-Experts "Skill issues'': data-centric optimization of lakehouse agents The Case for Model Science: Verify, Explore, Steer, Refine Can LLM Agents Sustain Long-Horizon Organizational Dynamics? The Shape of Wisdom: Decision Trajectories in Language Models Advanced Mathematics Learning Behavior Prediction and Academic Early Warning Model Based on Multimodal Data Analysis Application of Algorithms in Energy-Efficient Design Platforms for Green Building HomeFlow: A Data Flywheel for Smart Home Agent Training with Verifiable Simulation Brain-Atlas-Guided Generative Counterfactual Attention for Explainable Cognitive Decline Diagnosis Using Multimodal Connectomes SIRIUS-SQL: Anchoring Multi-Candidate Text-to-SQL in Execution Feedback Emergent Ordinal Geometry in Transformers Trained on Local Comparisons ANDES: Agent Native Data Evolving Synthesis Tool for Autonomous Instruction Alignment SkillSmith: Co-Evolving Skills and Tools for Self-Improving Agent Systems Science Earth: Towards A Planet-Scale Operating System for AI-Native Scientific Discovery Recognize Your Orchestrator: An Entropy Dynamics Perspective for LLM Multi-Agent Systems FlowTime: Towards Continuous Generative Watch Time Prediction via Flow-based Personalized Priors Early Diagnosis of Wasted Computation in Multi-Agent LLM Systems via Failure-Aware Observability GuidaPA: Privacy-Preserving Chatbot for Public Administration via Federated Learning Self-Healing Agentic Orchestrators for Reliable Tool-Augmented Large Language Model Systems GovAI-Pipe: A Layered AI Governance Pipeline for Citizen-Facing AI in Turkey's e-Government Gateway Don't Ask the LLM to Track Freshness: A Deterministic Recipe for Memory Conflict Resolution Dive into Ambiguity: A*-Inspired Multi-Agents Commonsense Obfuscation Attack on LLM Prompts Self-Revising Discovery Systems for Science: A Categorical Framework for Agentic Artificial Intelligence Transferring Information Across Interventions in Causal Bayesian Optimization An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models A Minimalist Brain-Computer Musical Interface for Real-Time Emotion-Driven Sonification: System Design and Preliminary Evaluation TERRA: Task-Embedded Reasoning and Representation Architecture for Cross-Domain Applications Joint Agent Memory and Exploration Learning via Novelty Signals RoleCDE:Benchmarking and Mitigating Role-Alignment Trade-offs in Role-Playing Agents S-SPPO: Semantic-Calibrated Self-Play Preference Optimization TRON: Targeted Rule-Verifiable Online Environments for Visual Reasoning RL Revisiting Ripple Effects in Knowledge Editing through Pressure-Aware Joint Neighborhood Optimization ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RL MobEvolve: An Agentic Self-Evolving Heuristic System for Interpretable Human Mobility Generation Characterization of Multi-Model Agentic AI Systems on General Tasks via Trace-Driven Simulation Evidence-Gated LLM Priors for Multi-Objective Bayesian Optimization TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination TriAlign: Towards Universal Truth Consistency in Personalized LLM Alignment EvoBrain: Continual Learning of EEG Foundation Models Across Heterogeneous BCI Tasks Structure-Guided Adaptive Propagation for Protein-Protein Interaction Site Prediction Stochastic convergence of parallel asynchronous adaptive first-order methods Consistency evaluation of benchmarks used for causal discovery OctoT2I: A Self-Evolving Agentic Text-to-Image Router Token Predictors Are Not Planners: Building Physically Grounded Causal Reasoners CAPF: Guiding Search-Agent Rollouts with Credit-Attenuated Privileged Feedback Evaluation of Baseline Methods for IDD-based SSD External Memory Search Does Compression Preserve Uncertainty? A Unified Benchmark for Quantized and Sparse LLMs via Conformal Prediction WorldCoder-Bench: Benchmarking Physically Grounded 3D World Synthesis EVA-Net: Subject-Independent EEG Motor Decoding with Video-Derived Motor Priors Absorbing Complexity: An Interaction-Native Knowledge Harness for Financial LLM Agents Physically-Constrained Mamba-SDE for Remaining Useful Life Prediction under Irregular Observations Community-Aware Assessment of Social Textual Engagement and Resonance: A Human-Centric Perspective on User-Generated Content Evaluation Bayesian Spectral Emotion Transition Discovery from Multi-Annotator Disagreement SMH-Bench: Benchmarking LLM Agents for Environment-Grounded Reasoning and Action in Smart Homes VET: A Framework for Analyzing AI Discourse AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Algorithmic algorithm development with LLMs: A Case Study on LLM-Usage for Contraction Order Optimization in Tensor Networks An NLP-Driven Framework for Curriculum-Labor Market Alignment: Schema-Constrained LLM Extraction, ESCO-Anchored Semantic Matching, and Multi-Dimensional Gap Quantification SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning Extreme Low-Bit Inference in Reasoning Models: Failure Modes and Targeted Recovery RL-ACRGNet: Reinforcement Learning-Based Chest Radiology Report Generation Network Topological texture analysis of microscopy images of dynamic casein gelation and its relation to rheological properties Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings eMoT: evolving Memory-of-Thought via Symbolic Anchoring and Memory Corrosion Where Do Deep-Research Agents Go Wrong? Span-Level Error Localization in Agent Trajectories BADGER: Bridging Agentic and Deterministic Evaluation for Generative Enterprise Reasoning Learning When Not to Act: Mitigating Tool Abuse in Agentic Reinforcement Learning S3TS: Stochastic Scenario-Structured Tree Search for Advanced Planning Under Uncertainty An Abstract Worlds Semantic Framework for Belief Change Operators From Capability Models to Automated Planning: An AAS-Native Approach for Automatic PDDL Generation CEON: Circular Economy Ontology Network POIROT: Interrogating Agents for Failure Detection in Multi-Agent Systems Repair Before Veto: Repair-Augmented Constraint Learning for Contextual Decisions Forget Attention: Importance-Aware Attention Is All You Need Coordination Graphs for Constrained Multi-Agent Reinforcement Learning SIRI: Self-Internalizing Reinforcement Learning with Intrinsic Skills for LLM Agent Training MOC: Multi-Order Communication in LLM-based Multi-Agent Systems COMAP: Co-Evolving World Models and Agent Policies for LLM Agents Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses Spatial Representation Learning Beyond Pixels: Unifying Raster Data and Vector Semantics for Human-Centric Geospatial Foundation Models A Mathematical Conflict Framework for Contextual Data Modulation AgentPLM: Agentic Protein Language Models with Reasoning-Augmented Decoding for Protein Sequence Design Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization LLM-Evolved Pattern Generators for Optimal Classical Planning Food Noise & False Safety: A Systematic Evaluation of How LLMs Fail to Adapt to Eating Disorder Queries with Clinician Feedback HLL: Can Agents Cross Humanity's Last Line of Verification? Beyond One-shot: AI Agents for Learning in Field Experiments AGENTCL: Toward Rigorous Evaluation of Continual Learning in Language Agents MCP-Persona: Benchmarking LLM Agents on Real-World Personal Applications via Environment Simulation Iteris: Agentic Research Loops for Computational Mathematics RASER: Recoverability-Aware Selective Escalation Router for Multi-Hop Question Answering Bridging the Last Mile of Time Series Forecasting with LLM Agents SafeSteer: Localized On-Policy Distillation for Efficient Safety Alignment Tracking the Behavioral Trajectories of Adapting Agents ClinEnv: An Interactive Multi-Stage Long Horizon EHR Environment for Agents A Novel Data Augmentation Strategy for Robust Deep Learning Classification of Biomedical Time-Series Data: Application to ECG and EEG Analysis A Lightweight Deep Learning-based Model for Ranking Influential Nodes in Complex Networks BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali Empathic and agentic artificial intelligence in nursing: perspectives on a human-centered framework for cancer care navigation in the United States RuleEdit: Failure-Guided Human-AI Model Editing with Prospective Impact Preview DraDDP: A Multimodal Multi-Party Dialogue Discourse Parsing Dataset A phenomenon of AI-conformity: how algorithms change human moral decision-making Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval SortingHat: Redefining Operating Systems Education with a Tailored Digital Teaching Assistant AEyeDE: An Attention-Based Attribution Framework for AI-Generated Text Detection Examine Clinicians' Modification of Hedging Language in Ambient AI Documentation: A Comparative Study of AI Drafts and Final Notes Understanding Stigmatizing Language in Clinical Documentation: A Paired Comparison of Ambient AI Drafts and Clinician Finalized Notes CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards SENSE: Semantic Embedding Navigation with Soft-gated Evaluation for Retrieval-based Speculative Decoding lmfaoooo at SemEval-2026 Task 1: Humor Is an Audience. Preference Modeling for Constrained Humor Generation TrustLDM: Benchmarking Trustworthiness in Language Diffusion Models A Multi-Domain Red Teaming Framework for Safety, Robustness, and Fairness Evaluation of Medical Large Language Models TCAR-Gen: Temporal Graph Retrieval with Evidence Fusion for Knowledge-Grounded Generation LLMs for Cardiovascular Risk Prediction from Structured Clinical Data Make Mechanistic Interpretability Auditable: A Call to Develop Guidelines via Continuous Collaborative Reviewing Update Opacity: Epistemic Accessibility and Governance Under AI System Change Beyond Tool Adoption: A Practical Five-Stage Developmental Continuum for AI Literacy in Higher Education Beyond Categories of Caste: Examining Caste Bias and Morality in Text-to-Image AI Models Tracing GenAI Literacy: Uncovering Student-AI Interaction Patterns in Academic Writing through Epistemic Network Analysis Improving Hospital Process Management through Process Mining: A Case Study on COVID-19 Clinical Pathways Algorithmic Authority and the Clinical Standard of Care When Jokes Cross the Line: Analyzing Regular Humor and Dark Humor in YouTube Shorts Comprehensive AI governance requires addressing non-model gains Measuring and Mitigating Bias in Code Generated by Large Language Models Business Utility of Large Language Models as Exploratory Data Analysis Agents From Human Videos to Robot Manipulation: A Survey on Scalable Vision-Language-Action Learning with Human-Centric Data Physics-Informed Neural Networks for Radial Consolidation of Combined Electroosmotic, Vacuum and Surcharge Preloading Considering Smear Effects Beyond Text and Tables: Vision-Language Model Integration in ComProScanner for Extracting Materials Data from Scientific Figures with High Accuracy Rare Events, Real Signals: Functional Ensembles as Units of Computation in Deep Spiking Networks CLSP-REQA: A Real-Time Quality-Aware Closed-Loop Seizure Prediction Framework with Mamba-BiLSTM and Confidence-Gated Intervention Improved Belief-Attention in Vision Task Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization Planktonzilla: Multimodal dataset and models for understanding plankton ecosystems DAStatFormer: A Hybrid Multibranch Transformer with Statistical Feature Integration for DAS-Based Pattern Recognitions Hoeffding Concept Bottleneck Models with Applications to Overhead Images From Demonstrations to Rewards: Test-Time Prompt Optimization for VLM Reward Models SentimentLens: Reconciling Sentiment and Ratings via Dual-Modality in the Hospitality Sector Structured Visual Evidence Decomposition for Evidence-Grounded Multimodal Screening of Obstructive Sleep Apnea-Hypopnea Syndrome Can Predicted Dynamics Exist in the Physical World? Silent Failures in Physical AI: A Literature Review of Runtime Action Authorization for Autonomous Systems DLLM-JEPA: Joint Embedding Predictive Architectures for Masked Diffusion Language Models Aligning Cellular Sheaves with Classifier Attention for Interpretable Weakly-Supervised Pathology Localization Diffusion Image Generation with Explicit Modeling of Data Manifold Geometry Bridging the 2D-3D Gap: A Hierarchical Semantic-Geometric Map for Vision Language Navigation Diversity Over Frequency: Rethinking Tool Use in Visual Chain-of-Thought Agents CoilDrop-MRI: Self-supervised physics-guided MRI reconstruction with coil dropout CoCoVideo: The High-Quality Commercial-Model-Based Contrastive Benchmark for AI-Generated Video Detection PEACE: A Planner-Executor Agent with Constraint Enforcement for UAVs Visual-Noise Guided In-Context Distillation for Multimodal Large Language Model Unlearning A Methodological Framework for Explicit Control of the Speed-Accuracy Trade-off in Brain-Computer Interfaces Motif-based morphology signatures for interpretable ECG screening and monitoring Project SPARROW and the Future of Conservation Technology VDSB-GWSyn: Diffusion Schr\"{o}dinger Bridge for Controllable and Anatomically Feasible Guidewire Synthesis in Coronary Angiography Enhancing BiGRU with a KAN Block for Legal Document Classification and Summarization V2I Work Zone Geometry Reconstruction with Pose-Conditioned UWB Range Denoising SpikeWFM: Spiking-Aided Wireless Foundation Model for Robust Channel Prediction Versatile Framework with Semantic and Structural guidance for Image Reconstruction from Brain Activity CardioLens: Revealing the Clinical Reality Gap of MLLMs via Multi-Sequence Cardiac MRI Evaluations Multimodal Music Recommendation System using LLMs A Shared Valence Axis Across Modern LLMs and Human EEG: The Saturation Regularity Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Compression of Deep Neural Networks AI-PROPELLER: Warehouse-Scale Interprocedural Code Layout Optimization with AlphaEvolve Foundation-Preserving Adaptation via Generalized Rayleigh-Quotient Optimization XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT On Effectiveness and Efficiency of Agentic Tool-calling and RL Training Generative AI and Digital Ecosystem Resilience: A Proactive Lifecycle-Based Survey Geodesics with Unified Tangent-constrained Priors and Curvature Regularization Geometric Erasure by Contrastive Velocity Matching in Rectified Flows Adaptive data selection improves wearable prediction under low baseline performance Regime-Adaptive Continual Learning for Portfolio Management BudgetDraft: Acceptance-Aware Multi-View Training for Sparse-KV Speculative Decoding Completion at the Boundary (CaB): Deployable Switching with Completion-Aware Control under Limited Calibration Multi-Contrast MRI Motion Correction via Parameter-Informed Disentanglement and Adaptive Experts RAFT: Data Refinement and Adaptive Distillation for Domain Fine-Tuning with Alleviated Forgetting StemBind: When MLLMs Get Lost Between Rules and Instances in Abstract Visual Reasoning Persona Attack: Incremental Memory Injection Jailbreak Attack against Large Language Models Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying PrivacyPeek: Auditing What LLM-Based Agents Acquire, Not Just What They Say DiffCrossGait: Trajectory-Level Alignment for 2D-3D Cross-Modal Gait Recognition via Latent Diffusion Benchmarking Multimodal LLMs on Code Generation for Complex Interactive Webpages A Protocol-Language Model for Network Intrusion (Without Deep Packet Inspection) A physics-informed foundation model for quantitative diffusion MRI Interpreting FCDNNs via RG on Exponential Family Digital-to-Physical Transfer of Adversarial Patches for Aerial Vehicle Detection DataShield: Safety-degrading Data Filtering for LLM Benign Instruction Fine-Tuning Improving IoT Intrusion Detection Through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data ChurnNet: A Optimized Modern AI for Churn Prediction UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment MyoSem: Aligning Electromyography to Natural-Language Action Semantics for Hand Action Understanding Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection The New Social Image: How AI Competency and AI Proactivity Influence Self- and Peer-Perceptions in the Workplace Agentic Transformers Provably Learn to Search via Reinforcement Learning Learning to Construct Practical Agentic Systems BAGEN: Are LLM Agents Budget-Aware? From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets SEMBridge: Tagless-Final Program Semantics with Weakest-Precondition and Bounded-Checking Interpretations Continuous Reasoning for Vision-Language-Action Civilizational Metamaterials: Engineering Coordination Under Capability Gradients and Structural Turbulence InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate Effects of Varying LLM Access on Essay Writing Behavior ARCA: Adapter-Residual Credit Assignment When Token Signals Degenerate When Softmax Fails at the Top: Extreme Value Corrections for InfoNCE StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language Models Synthetic Data from Cross-Domain Events for Large-Scale Recommendation Systems Real2SAM2Real: Generative 3D Caches as Complementary Context for Video Diffusion Bridging Reasoning Trajectories in On-Policy Distillation via Near-Future Guidance Rethinking the Role of Temperature in Large Language Model Distillation How Generation Architecture Shapes Code Complexity in Multi-Agent LLM Systems: A Paired Study on HumanEval DRL-Based Pose Control for Double-Ackermann Robots Under Actuation Uncertainties LLMs Need Encoders for Semantic IDs Too Isolating LLM Lexical Bias: A Curation-Free Triangulated Metric for Preference-Stage Learning ROGUE: Misaligned Agent Behavior Arising from Ordinary Computer Use (HB-ARFM) History-Bootstrapped Flow Matching for Inverse Boiling Reconstruction Drift Q-Learning Reinforcement Learning with Pairwise Preferences in Long-Term Decision Problems Agentic Authoring of Interactive Multiview Visualizations in Genomics SUPREME: A Multi-GPU Framework for Reproducible Image Unlearning Method Evaluation Zamba2-VL Technical Report Detector-Evasive LLM Paraphrasing via Constrained Policy Optimization PR2: Predictive Routing Replay for MoE-Based LLM Reinforcement Learning A Distribution-Free Framework for Rewrite-Based Human-text Detection via Knockoff Filtering Masking Stale Observations Helps Search Agents -- Until It Doesn't: A Regime Map and Its Mechanism AgentxGCore: Agentic AI for Next-Generation Mobile Core Network Finer Parameter Steps for Low-Rank PEFT: A Controlled Study with CP Tensor Adapters Detect Before You Leap: Mirage Detection in Vision-Language Models DarkVesselNet: Multi-Modal Remote Sensing and Trajectory Reasoning for Dark Vessel Detection GeoSAM-3D: Geodesic Prompt Propagation for Open-Vocabulary 3D Scene Segmentation from Monocular Video When Safe Skills Collide: Measuring Compositional Risk in Agent Skill Ecosystems Short-form Text Rewriting with Phi Silica On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance CodeCytos: AI-assisted spatial molecular imaging analysis via code-augmented agent action space Pre-Deployment Robustness Stress Testing for CT Segmentation Systems Using Clinically Motivated Multi-Corruption Augmentation TabChange: Precise Attribute Changes in Tabular Data V-LynX: Token Interface Alignment for Video+X LLMs Skill or Skip? Learning Selective Skill Invocation in Agentic Tasks via Dual-Granularity Preference Learning PaCo-VLA: Passivity-Shielded Compliance Prior for Contact-Rich Vision-Language-Action Manipulation CAFOSat: A Strongly Annotated Dataset for Infrastructure-Aware CAFO Mapping Using High-Resolution Imagery Richer Representations for Neural Algorithmic Reasoning via Auxiliary Reconstruction Interpretable Policy Distillation for Power Grid Topology Control A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence On the Difficulty of Learning a Meta-network for Training Data Selection Improving Visual Representation Alignment Generation with GRPO Critic-R: Improving Agentic Search using Instruction-tuned Retrievers with Natural Language Introspective Feedback SPADER: Step-wise Peer Advantage with Diversity-Aware Exploration Rewards for Multi-Answer Question Answering CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation Linguistics-Aware Non-Distortionary LLM Watermarking Pause and Think: A Dataset and Benchmark for Video-Grounded Assistive Action Suggestion MemPro: Agentic Memory Systems as Evolvable Programs Authenticity Debt and the Synthetic Content Threat Landscape: A Layered Framework for Trust, Provenance, and IP Governance in the Generative AI Era LP5X-PIM Sim: A High-Fidelity HW/SW Integrated Simulator for LPDDR5X-PIM LinguIUTics at PsyDefDetect: Iterative Imbalance-Aware Fine-tuning of Qwen3-8B for Psychological Defense Mechanism Classification MESA: Improving MoE Safety Alignment via Decentralized Expertise Scaling Behavior of Single LLM-Driven Multi-Agent Systems Demystifying the Optimal Fair Classifier in Multi-Class Classification Collaborative Few-Step Distillation and Low-Bit Quantization for Wan2.2 Dual-Expert Video Diffusion Models Beyond the Mouth: Upper-Face Affective Cues in Audiovisual Sentence Recognition under Acoustic Uncertainty The Paradox of Outcome Optimization: A Causal Information-Theoretic Bound on Reasoning Shortcuts in LLMs COPF: An Online Framework for Deployment-Stable Counterfactual Fairness in Evolving Graphs Shape Your Body: Value Gradients for Multi-Embodiment Robot Design Information-Theoretic Lower Bounds for Bit-Constrained Stochastic Optimization via a Reduction to Compressed Gaussian Mean Estimation Multi-Agent Conformal Prediction with Personalized Statistical Validity EPIC: Efficient and Parallel Inference under CFG Constraints for Diffusion Language Models WaveFilter: Enhancing the Long-Context Capability of Diffusion LLMs via Wavelet-Guided KV Cache Filtering SORA: Free Second-Order Attacks in Fast Adversarial Training Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment SkyShield: Occupancy as a Safety Interface for Low-Altitude UAV Autonomy Causal Density Functions Logit Distillation on Manifolds: Mapping by Learning GIRL-DETR: Gradient-Isolated Reinforcement Learning for Video Moment Retrieval Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning Bayesian Inference of Nonlinear Malaria Dynamics in Ghana via an Ensemble Markov Chain Monte Carlo Sampler Extending Causal Metamodeling to a non-Markovian Queue DASH: Dual-Branch Score Distillation for Guidance-Calibrated Compact Diffusion Models Dynamic Coordination Strategy Selection for Enterprise Multi-Agent Systems Certificates without Electrons? Theory and Evidence on Impacts from AI-Driven Power Demand SkillPager: Query-Adaptive Intra-Skill Navigation via Semantic Node Retrieval Beyond Independent Manipulation: Individual Fairness-aware Strategic Classification with Peer Imitation Hybrid Probabilistic Forecasting of Under-Five Malaria Admissions in Ghana: A Gaussian Process Regression with Holt-Winters Smoothing MoEIoU: Rethinking Bounding-Box Regression as a Mixture of Experts RefDiffNet: Learning to Expose Subtle PCB Defects Before Detection From Cues to Horizons: Dynamic Risk Horizon Profiling for Trajectory Prediction GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing Benchmarks for Vision-Language Models in Urban Perception Should Be Reliability-Aware and Negotiated Task diversity produces systematic transfer but inhibits continual reinforcement learning Dive into Waves: Morlet Spectral Transformer for Cross-Subject Emotion Decoding from EEG Memory-Efficient LLM Training with Dynamic Sparsity: From Stability to Practical Scaling MLLM-Microscope: Unlocking Hidden Structure Within Multimodal Large Language Models Accuracy, Stability, and Repeated-Run Reliability of Large Language Models on Deterministic Programming Tasks Benchmarking Security Risk Detection and Verification in Open Agentic Skill Ecosystems Detection vs. Execution: Single-Bucket Probes Miss Half the Mamba-2 State Sink CV-Arena: An Open Benchmark for Instructional Computer Vision Problem Solving with Human-AI Collaborative Preferences Lodestar: An Online-Learning LLM Inference Router Silent Failures in Federated Personalization of Foundation Models Explainable deep reinforcement learning reveals energy-efficient control strategies for turbulent drag reduction SS-ZKR: Spatial-Semantic Zero-Knowledge Routing for Privacy-Preserving Multi-Agent Collaboration An Open-Source Benchmark and Baseline for Multi-temporal Referring Segmentation Beyond Task-Agnostic: Task-Aware Grouping for Communication-Efficient Multi-Task MoE Inference FVSpec: Real-World Property-Based Tests as Lean Challenges Cross-Axis Feature Fusion with Joint-Wise Motion Difference Prediction for Text-Based 3D Human Motion Editing AI-IoT-Robotics Integration: Survey of Frameworks, Emerging Trends, and the Path Toward Connected Robotics PolySpeech-100: A Large-Scale Benchmark for Speech Understanding Across 100+ Languages and Dialects Hybrid Verified Decoding: Learning to Allocate Verification in Speculative Decoding ProductWebGen: Benchmarking Multimodal Product Webpage Generation Data Collection for Training Quality-Control AI in Carpet Manufacturing DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs Temporally-Aligned Evaluation for Audio-Driven Talking Head Generation OPD+: Rethinking the Advantage Design for On-Policy Distillation Plausibility Is Not Prediction: Contrastive Evidence for LLM-Based Cellular Perturbation Reasoning 3DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code MENTIS: What Belief Changes Under Alignment? Measuring Multi-Scale Latent Torsion in Language Models Leyline: KV Cache Directives for Agentic Inference Test-Time Training for Zero-Resource Dense Retrieval Reranking ThinkSwitch: Context Distillation with LoRA and Weight Interpolation for Specific-Purpose Reasoning Tasks MViewRouter: Internalizing Geometric Equivariance via Multi-view Alternating Attention for Combinatorial Routing Strong Stochastic Flow Maps A Fiber Criterion for Representation Identifiability in Supervised Learning Beyond Task Success: Behavioral and Representational Diagnostics for WAM and VLA Implicit Drifting Policy: One-Step Action Generation via Conditional Expert Geometry MiCU: End-to-End Smart Home Command Understanding with Large Language Model Soft-NBCE: Entropy-Weighted Chunk Fusion for Long-Context HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces STARFISH: faST Accuracy Recovery in pruned networks From Internal State Healing AMP: A Vendor-Neutral Wire Format for Agent Memory Operations ASE-26: a curriculum for agentic software engineering as a discipline When Data Is Scarce: Scaling Sparse Language Models with Repeated Training AI From the Margins (AIM): Rethinking Participatory AI Design Through the Lived Experience of Minoritized Communities Physics-Informed Deep Learning for Entropy Prediction in Heterogeneous Systems: Thermodynamic and Information-Theoretic Case Studies CA-BED: Conversation-Aware Bayesian Experimental Design Topological Ignorability for Structural Causal Effects Beyond Means pcbGPT: Automatic PCB Schematic Synthesis from Natural Language Requirements Low-Resource Safety Failures Are Action Failures, Not Representation Failures Implicit Geographic Inference in LLM Medical Triage: Language-Driven Disparities in Emergency Recommendations DiscourseFlip: An Oblique Discourse-Level Opinion Manipulation Attack against Black-box Retrieval-Augmented Generation TECCI: Tricky Edits of Collected and Curated Images Distilling Neuro-Symbolic Programs into 3D Multi-modal LLMs Fine-Tuning Diffusion Models for Molecular Generation via Reinforcement Learning and Fast Sampling Hybrid Imbalanced Regression Through Unified Data-Level and Algorithm-Level Balancing Connecting the Dots: Benchmarking Reflective Memory in Long-Horizon Dialogue Understanding LLM Behavior in Multi-Target Cross-Lingual Summarization IndoBias: A Dual Track Culturally Grounded Benchmark for LLMs Bias Evaluation in Indonesian Languages PALTO: Physics-Informed Active Learning for Tri-Gate FinFET Design Optimization for Vertical Power Delivery DeepIPCv3: Event-Aware Multi-Modal Sensor Fusion for Sudden Pedestrian Crossing Avoidance RLVR without Ineffective Samples: Group Prioritized Off-Policy Optimization for LLM Reasoning Knowledge-Intensive Video Generation BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution Beyond Visual Memory: Mechanistic Diagnostics of Latent Visual Reasoning Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework What Makes a Strong Model? A Unified Spectral Analysis of Knowledge Transfer over High-dimensional Linear Regression ResNet-34 with Lightweight Decoder for Accurate and Efficient Segmentation of Fetal Brain MRI ChronosAD: Leveraging Time Series Foundation Models for Accurate Anomaly Detection SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories A Communication-Centric 6G-LLM Architecture for Scalable Tactical Autonomous Defense Vehicle Networks PSG-Nav: Probabilistic Scene Graph Navigation via Multiverse Decision Making TukaBench: A Culturally Grounded Jailbreak Benchmark for African Languages DiffuSent: Towards a Unified Diffusion Framework for Aspect-Based Sentiment Analysis Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks FreqLite: A Lightweight Frequency-Decomposed Linear Model with Adaptive Reversible Normalization for Robust Long-Term Time-Series Forecasting Needles at Scale: LLM-Assisted Target Selection for Windows Vulnerability Research BRo-JEPA: Learning Modular Arithmetic in Latent Space Beyond Access: Guided LLM Scaffolding for Independent Learning in Undergraduate Statistics Efficient Exploration for Iterative Nash Preference Optimization Bridging Requirements and Architecture: Multi-Agent Orchestration with External Knowledge and Hierarchical Memory Dr. DocBench: A Comprehensive Benchmark for Expert-Level and Difficult Document Parsing Consistent and Distinctive: LLM Benchmark Efficiency via Maximum Independent Set Prompt Selection on Similarity Graphs Neural Network Compression by Approximate Differential Equivalence CEAR: Certified Ensemble Adversarial Robustness in DNNs On the Evaluation of Spiking Neural Network Configurations for Network Intrusion Detection UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures Computation-Aware Kalman Filtering with Model Selection for Neural Dynamics Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence Hierarchical Online Prompt Mutation with Dual-Loop Feedback for Guardrailed Evidence Document Generation: A Production-Evaluation Case Study Crazyflow: An Accurate, GPU-Accelerated, Differentiable Drone Simulator in JAX MURMUR: An Efficient Inference System for Long-Form ASR LLM Consortium for Software Design Refinement: A Controlled Experiment on Multi-Agent Collaboration Topologies ClawHub Security Signals: When VirusTotal, Static Analysis, and SkillSpector Disagree TimeSage-MT: A Multi-Turn Benchmark for Evaluating Agentic Time Series Reasoning Move the Query, Not the Cache: Characterizing Cross-Instance Latent Attention Redistribution Across GPU Fabrics On the Limits of Token Reduction for Efficient Unified Vision Language Training Agent Operating Systems (AOS): Integrating Agentic Control Planes into, and Beyond, Traditional Operating Systems ProbMoE: Differentiable Probabilistic Routing for Mixture-of-Experts Compliance-Scored Best-of-N Guardrail Orchestration for Multimodal Document Generation in Payments Dispute Defense TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions Self-Conditioned Positional HNSW for Overlap-Aware Retrieval in Chunked-Document RAG Systems: Method and Industrial Evidence-Quality Audit GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks Defenses & Enablers For Skill Injection Attacks on Terminal Based Agents Identifying High-Confidence Social Biases in LLMs for Trustworthy Conversational Tutoring Agents Estimating Mutual Information between Time Series and Temporal Event Sequences Across Diverse Analysis Tasks FedMTFI: Feature Importance Based Optimized Multi Teacher Knowledge Distillation in Heterogeneous Federated Learning Environment TechGraphRAG: An Agentic Graph-Augmented RAG Framework for Technical Literature Reasoning EvoPool: Evolutionary Programmatic Annotation for Label-Efficient Specialized Supervision Demystifying Multimodal Biomolecular Co-design With Intrinsic Geodesic Coupling A Framework for Graph-Conditioned Hierarchical Shapley Attribution in Patent Valuation E4GEN: Event-level Explainable Extreme-Enhanced Time-series Generation AlphaToken: Decoupling Adaptation and Stability for Path-Aware Response Token Valuation in LLM Post-Training Easier to Mislead Than to Correct: Harmful and Beneficial Revision in LLM Conformity MINTS: Minimalist Thompson Sampling DOT-MoE: Differentiable Optimal Transport for MoEfication Time-Aware Diffusion based on Preference Disentanglement for Generative Recommendation Off-the-Shelf LLMs as Process Scorers: Training-Free Alternative to PRMs for Mathematical Reasoning HAIM: Human-AI Music Datasets for AI Music Production Tracking Benchmark RPCASSM: Robust PCA State Space Model For Infrared Small Target Detection Understanding Identity Continuity in Thermal Video through Scene-Level Consistency JenBridge: Adaptive Long-Form Video Soundtracking across Scene Transitions Two-Fidelity Best-Action Identification for Stochastic Minimax Tree Fair Finetuning Mitigates Distribution Inference Attacks Post-Deterministic Distributed Systems: A New Foundation for Trustworthy Autonomous Infrastructure Shortcut to Nowhere: Demystifying Deep Spurious Regression Argument Collapse: LLMs Flatten Long-Form Public Debate THRD: A Training-Free Multi-Turn Defense Framework for Jailbreak Attacks on Large Language Models SECUREVENT: Hybrid AI/ML Security Monitoring for Distributed Event-Based Systems Construction of Historical Knowledge Graphs Based on BERT and Graph Neural Networks Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task Streams FLARE: Diffusion for Hybrid Language Model Breaking the Information Silo: Semantic Personas for Cross-Domain Recommendation STaR-KV: Spatio-Temporal Adaptive Re-weighting for KV Cache Compression in GUI Vision-Language Models Multilinguality of Large Language Models From a Structural Perspective MOSS-Audio Technical Report ProbeScale: Probing Analysis to Optimize Neural Scaling Laws for Efficient Small Language Model Inference "I've Seen How This Goes": Characterizing Diversity via Progressive Conditional Surprise Dynamic Trust-Aware Sparse Communication Topology for LLM-Based Multi-Agent Consensus Learning Implicit Bias in Generative Spaces for Accelerating Protein Dynamics Emulation Physics-Guided Attention in a Lightweight TCN for Efficient WiFi CSI-Based Human Activity Recognition LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models Suppressing Forgery-Specific Shortcuts for Generalizable Deepfake Detection Unveiling the Limits of Large Language Models in Inferring Pragmatic Meaning from Non-Verbal Responses Boosting Multimodal Federated Learning via Chained Modality Optimization RadioMaster: Multi-Agent System for Autonomous Radio Signal Generation Collaborative Space Object Detection with Multi-Satellite Viewpoints in LEO Constellations Train, Test, Re-evaluate: Schedule-Sensitive Evaluation of Generative Data for Hand Detection RA-LWLM: Retrieval-Augmented In-Context Localization with Wireless Foundation Models The Image Reconstruction Game: Drawing Common Ground Through Iterative Multimodal Dialogue KliniskVestBERT: BERT Model Specialised to Norwegian Clinical Texts Echo: A Joint-Embedding Predictive Architecture for Speaker Diarization and Speech Recognition in a Shared Latent Space Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks Rank-Constrained Deep Matrix Completion for Group Recommendation A Structured Benchmark for Text-Guided Anomaly Detection: When Language Stops Conditioning the Decision MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills? Why Do Time Series Models Need Long Context Windows? Towards 3D-Aware Video Diffusion Models: Render-Free Human Motion Control with Mesh Tokenization PlanarBench: Evaluating LLM Spatial Reasoning via Planar Graph Drawing Ranking vs. Assignment: The Metric Mismatch in Multi-View Object Association OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents Attention mechanisms and transfer learning for robust peach leaf damage classification under domain shift Fast and Lightweight Novel View Synthesis with Differentiable Multiplane Image Agentic-J: An AI Agent for Biological Microscopy Image Analysis LALE: Lightweight-Transformer Architecture for Land-Cover Estimation The Role of Ambiguity in Error Prediction via Uncertainty Quantification Network Distributed Multi-Agent Reinforcement Learning for Consensus Control of Quadcopters Jailbreaking Multimodal Large Language Models using Multi-Clip Video A Primer in Post-Training Reasoning Data: What We Know About How It Works How Hard Can It Be? Hardness-Aware Multi-Objective Unlearning Understanding-Enhanced Model Collaboration for Long-Tailed Egocentric Mistake Detection Variational Learning for Insertion-based Generation Rethinking Evaluation Paradigms in IBP-based Certified Training VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Multilingual Idioms in Sentences and Conversations Across High-, Medium-, and Low-Resource Languages Predicting the risk of colorectal anastomotic leak based on preoperative mapping of the blood supply of the bowel Multimodal Approaches for Visually-Rich Document Type Classification: A Comparative Analysis Order within Chaos: Capturing Intrinsic Energy Anomalies for AI-Manipulated Image Forgery Localization On the Generalization in Topology Optimization via Sensitivity-Conditioned Bernoulli Flow Matching Consistency Training while Mitigating Obfuscation via Rate Matching Faster Synchronous On-Policy RL via Straggler-Aware Group Sizing AgentRedBench: Dynamic Redteaming and Integration-Aware Defense for LLM Agents over SaaS Integrations Towards Resolving Optimization Conflicts Between Image- and Text-Based Person Re-Identification FW-NKF: Frequency-Weighted Neural Kalman Filters Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025 Cross-modal linkage risk in clinical vision-language models CityTrajBench: A Unified Benchmark for City-Scale Vehicle Trajectory Generation Quantitative Movement Testing: Measuring Patient Movements from a Single Smartphone Video SeClaw: Spec-Driven Security Task Synthesis for Evaluating Autonomous Agents Repurposing Adversarial Perturbations for Continual Learning: From Defense to Active Alignment Do Multimodal Agents Really Benefit from Tool Use? A Systematic Study of Capability Gains FOAM: Frequency and Operator Error-Based Adaptive Damping Method for Reducing Staleness-Oriented Error for Shampoo When Do Attention Circuits Form? Developmental Trajectories of Capability and Attention-Sink Emergence Across Three 1B-ClassArchitectures SPADE-Bench: Evaluating Spontaneous Strategic Deception in Agents via Plan-Action Divergence Policy and World Modeling Co-Training for Language Agents AutoForest: Automatically Generating Forest Plots from Biomedical Studies with End-to-End Evidence Extraction and Synthesis Evolutionary Discovery of Bivariate Bicycle Codes with LLM-Guided Search GC-MoE: Genomics-Guided Cell-Type-Specific Mixture of Experts for Histology-Based Single-Cell Spatial Transcriptomics Not All Errors Are Equal: A Systematic Study of Error Propagation in Large Language Model Inference ODTQA-FoRe: An Open-Domain Tabular Question Answering Dataset for Future Data Forecasting and Reasoning PaSBench-Video: A Streaming Video Benchmark for Proactive Safety Warning Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior MASER: Modality-Adaptive Specialist Routing for Embodied 3D Spatial Intelligence Learning When to Translate for Multilingual Reasoning Ghost Tool Calls: Issue-Time Privacy for Speculative Agent Tools Monitoring Agentic Systems Before They're Reliable Moment-Video: Diagnosing Temporal Fidelity of Video MLLMs on Momentary Visual Events Why Not Hyperparameter-Friendly Optimisation? A Monotonic Adaptive Norm Rescaling Approach For Long-Tailed Recognition SimSD: Simple Speculative Decoding in Diffusion Language Models Modeling Depth Ambiguity: A Mixture-Density Representation for Flying-Point-Free Depth Estimation From Layers to Submodules: Rethinking Granularity in Replacement-Based LLM Compression Permissive Safety Through Trusted Inference: Verifiable Belief-Space Neural Safety Filters for Assured Interactive Robotics AdaCodec: A Predictive Visual Code for Video MLLMs Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling Algebraic anti-unification Unsupervised Cognition Stop Wandering, Find the Keys: LLMs Discriminate Key States for Efficient Multi-Agent Exploration Explainable AI Through a Democratic Lens: DhondtXAI for D'Hondt-Projected Feature Attribution Safety Must Precede the Deployment of Open-Ended AI Learning to Reduce Search Space for Generalizable Neural Routing Solver Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning Finding the Minimal Parameter Budget for Implicit Reasoning: A Data Complexity Driven Scaling Law for Language Models Agent Guide: A Simple Agent Behavioral Watermarking Framework Language Model Networks: Supervision-Efficient Learning through Dense Communication EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Formally Solving Answer-Construction Problems in Lean Taming System Complexity: Demystifying Software Engineering Agents in Diagnosing Linux Kernel Faults On the Theoretical Limitations of Embedding-based Link Prediction InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Query Circuits: Explaining How Language Models Answer User Prompts ACON: Optimizing Context Compression for Long-horizon LLM Agents REBot: From RAG to CatRAG with Semantic Enrichment and Graph Routing Multimodal Function Vectors for Visual Relations Addressing Longstanding Challenges in Cognitive Science with Language Models A Unified Evaluation-Instructed Framework for Query-Dependent Prompt Optimization LocalSearchBench: Benchmarking Agentic Search in Real-World Local Life Services ReasonBENCH: Benchmarking the (In)Stability of LLM Reasoning On the Collapse of Generative Paths: A Criterion and Correction for Diffusion Steering Boosting RL-Based Visual Reasoning with Selective Adversarial Entropy Intervention MobiBench: Multi-Branch, Modular Benchmark for Mobile GUI Agents Safety Alignment of LMs via Non-cooperative Games Unplugging a Seemingly Sentient Machine Is the Rational Choice -- A Metaphysical Perspective MulFeRL: Enhancing Reinforcement Learning with Verbal Feedback in a Multi-turn Loop PolarMem: A Training-Free Polarized Latent Graph Memory for Verifiable Vision-Language Models Structure Enables Effective Self-Localization of Errors in LLMs Breaking the Reversal Curse in Autoregressive Language Models via Identity Bridge From Features to Actions: Explainability in Traditional and Agentic AI Systems ToolSelf: Unifying Task Execution and Self-Reconfiguration via Tool-Driven Emergent Adaptation Beyond End-to-End Video Models: An LLM-Based Multi-Agent System for Educational Video Generation Prototype Transformer: Towards Language Model Architectures Interpretable by Design REAL: Resolving Knowledge Conflicts in Knowledge-Intensive Visual Question Answering via Reasoning-Pivot Alignment Benchmarking at the Edge of Comprehension When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation LLM-WikiRace Benchmark: How Far Can LLMs Plan over Real-World Knowledge Graphs? LLM4Cov: Execution-Aware Agentic Learning for High-coverage Testbench Generation PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering Vision Language Models Cannot Reason About Physical Transformation On Information Self-Locking in Reinforcement Learning for Active Reasoning of LLM agents AgentProcessBench: Diagnosing Step-Level Process Quality in Tool-Using Agents OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective Intelligence Retrieval-aligned Tabular Foundation Models Enable Robust Clinical Risk Prediction in Electronic Health Records Under Real-world Constraints Rashomon Memory: Towards Argumentation-Driven Retrieval for Multi-Perspective Agent Memory FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unlearning in Diffusion Models What's Missing in Screen-to-Action? Towards a UI-in-the-Loop Paradigm for Multimodal GUI Reasoning Process Reward Agents for Steering Knowledge-Intensive Reasoning MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction Perspective on Bias in Biomedical AI: Preventing Downstream Healthcare Disparities RadAgent: A tool-using AI agent for stepwise interpretation of chest computed tomography TrafficClaw: A Generalizable LLM Agent in the Unified Physical Environment for Urban Traffic Control KnowledgeBerg: Evaluating Systematic Knowledge Coverage and Compositional Reasoning in Large Language Models Neural Decision-Propagation for Answer Set Programming Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution ANDRE: An Attention-based Neuro-symbolic Differentiable Rule Extractor for Inductive Logic Programming The Refusal--Compliance Tradeoff: A Large-Scale Safety Behavior Audit of Large Language Models Towards a Virtual Neuroscientist: Autonomous Neuroimaging Analysis via Multi-Agent Collaboration Causal state binding predicts action control in language agents RADAR: Redundancy-Aware Diffusion for Multi-Agent Communication Structure Generation CVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing MMSkills: Towards Multimodal Skills for General Visual Agents Herculean: An Agentic Benchmark for Financial Intelligence Coding Agent Is Good As World Simulator Capturing LLM Capabilities via Evidence-Calibrated Query Clustering Evaluating Deep Research Agents on Expert Consulting Work: A Benchmark with Verifiers, Rubrics, and Cognitive Traps Ethical Hyper-Velocity (EHV): A Hardware-Rooted Zero-Trust Runtime Enforcement Architecture for Agentic AI Systems LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning Towards a General Intelligence and Interface for Wearable Health Data LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward Decomposition When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs Hypothesis Generation and Inductive Inference in Children and Language Models Fundamental Limitation in Explaining AI Test-Time Deep Thinking to Explore Implicit Rules Beyond the Frontier: Stochastic Backtracking for Efficient Test-Time Scaling FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization Experiments in Agentic AI for Science BatteryMFormer: Multi-level Learning for Battery Degradation Trajectory Forecasting RULER: Representation-Level Verification of Machine Unlearning Agyn: An Open-Source Platform for AI Agents with Scalable On-Demand Execution, Agent Definition as a Code, and Zero-Trust Access Cross-Entropy Games and Frost Training Asking Is Not Enough: Protocol Sensitivity in LLM Confidence Calibration FundaPod: A Multi-Persona Agent Pod Platform with Knowledge Graph Memory for AI-Assisted Fundamental Investment Research Benchmarking AI for low-resource contexts: Thinking beyond leaderboards Cookie-Bench: Continuous On-screen Key Interaction Evaluation for Web Generation c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization Stability Analysis of Sharpness-Aware Minimization Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle Recent Advances in Multi-modal 3D Intelligence: A Comprehensive Survey and Evaluation AutoEval Done Right: Using Synthetic Data for Model Evaluation Perturbation Effects on Accuracy and Fairness among Similar Individuals DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning Agricultural Landscape Understanding At Country-Scale Implicit Regularization for Multi-label Feature Selection A Foundation Model for Wearable Movement Data in Mental Health Research Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors Introduction to Graph Neural Networks for Machine Learning Engineers Efficient Weighted Sampling via Score-based Generative Models ShapeLib: Designing a library of programmatic 3D shape abstractions with Large Language Models HiFi-KPI: A Dataset for Hierarchical KPI Extraction from Earnings Filings Efficient LLM Moderation with Multi-Layer Latent Prototypes EuroBERT: Scaling Multilingual Encoders for European Languages Skill-Based Mixture-of-Experts: Adaptive Routing for Heterogeneous Reasoning via Inferred Skills Enhancing Layer Attention Efficiency through Pruning Redundant Retrievals Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms A Lightweight Context-Driven Training-Free Network for Scene Text Segmentation and Recognition T1: Tool-integrated Verification for Test-time Compute Scaling in Small Language Models MARFT: Multi-Agent Reinforcement Fine-Tuning GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework Erased but Not Forgotten: How Backdoors Compromise Concept Erasure A Survey of 3D Reconstruction with Event Cameras DetailMaster: Can Your Text-to-Image Model Handle Long Prompts? Simulating Macroeconomic Expectations in Survey Experiments with LLM-based Economic Agents Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Can LLMs Reason Structurally? Benchmarking via the Lens of Data Structures Value-Free Policy Optimization via Reward Partitioning GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution Truth, Trust, and Trouble: Medical AI on the Edge AblationBench: Evaluating Automated Planning of Ablations in Empirical AI Research Model Parallelism With Subnetwork Data Parallelism Toward accurate RUL and SoH estimation using reinforced graph-based physics-informed neural networks enhanced with dynamic weights Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design FedS2R: One-Shot Federated Domain Generalization for Synthetic-to-Real Semantic Segmentation in Autonomous Driving From Graph Retrieval to Schema Realization: Counterfactual Validation for Text-to-SPARQL over Heterogeneous Knowledge Graphs Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning Position: Beyond Sensitive Attributes, ML Fairness Should Quantify Structural Injustice via Social Determinants TuneAgent: Agentic Operating System Kernel Tuning with Reinforcement Learning Between a Rock and a Hard Place: The Tension Between Ethical Reasoning and Safety Alignment in LLMs Language-Native Materials Processing Design by Lightly Structured Text Database and Reasoning Large Language Model Towards a Physics Foundation Model Deep Learning as the Disciplined Construction of Tame Objects End-to-End Deep Learning for Predicting Metric Space-Valued Outputs T-POP: Test-Time Personalization with Online Preference Feedback v-HUB: A Benchmark for Video Humor Understanding from Vision and Sound Distillation of Large Language Models via Concrete Score Matching Make a Video Call with LLM: A Measurement Campaign over Six Mainstream Apps Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards HRTFformer: A Spatially-Aware Transformer for Individual HRTF Upsampling in Immersive Audio Rendering Verifying Meta-Awareness via Predictive Rewards in Reasoning Models Margin Adaptive DPO: Leveraging Reward Model for Granular Control in Preference Optimization Domain-Shift-Aware Conformal Prediction for Large Language Models Value Flows SHERLOCK: Towards Dynamic Knowledge Adaptation in LLM-enhanced E-commerce Risk Management StreamingVLM: Real-Time Understanding for Infinite Video Streams Rethinking RL Evaluation: Can Benchmarks Truly Reveal Failures of RL Methods? Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Characterizing Web Search in The Age of Generative AI Generative AI and Sales Productivity: Field Experiments in Online Retail Learning-To-Measure: In-Context Active Feature Acquisition CaptionFormer: Unified Segmentation, Tracking, and Captioning for Spatio-Temporal Objects Video Reasoning without Training CARES: Context-Aware Resolution Selector for VLMs Symbolic Neural Generation with Applications to Lead Discovery in Drug Design The Geometry of Grokking: Norm Minimization on the Zero-Loss Manifold Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations Optimizing Diversity and Quality through Base-Aligned Model Collaboration NILC: Discovering New Intents with LLM-assisted Clustering RoboBenchMart: Benchmarking Robots in Retail Environment Latent Reasoning in TRMs is Secretly a Policy Improvement Operator Evaluating the Performance of Deep Learning Models in Whole-body Dynamic 3D Posture Prediction During Load-reaching Activities Latent Collaboration in Multi-Agent Systems Understanding the Effects of Distractors on Reasoning Vision-Language Models SpeedAug: Policy Acceleration via Tempo-Enriched Policy and RL Fine-Tuning From Segments to Scenes: Temporal Understanding in Autonomous Driving via Vision-Language Model ShelfAware: Real-Time Semantic Localization in Quasi-Static Environments with Low-Cost Sensors VocSim: A Training-free Benchmark for Zero-shot Content Identity in Single-source Audio InFerActive: Interactive Tree-Based Exploration of LLM Sampling for Safety Evaluation Calibrating Uncertainty for Zero-Shot Adversarial CLIP Control of a Twin Rotor using Twin Delayed Deep Deterministic Policy Gradient (TD3) Ev-Trust: An Evolutionarily Stable Trust Mechanism for Decentralized LLM-Based Multi-Agent Service Economies Agent Tools Orchestration Leaks More: Dataset, Benchmark, and Mitigation MGRegBench: A Novel Benchmark Dataset with Anatomical Landmarks for Mammography Image Registration Reinforcement Learning Position Control of a Quadrotor Using Soft Actor-Critic (SAC) Dynamic Entropy Tuning in Reinforcement Learning Low-Level Quadcopter Control: Stochasticity vs Determinism Uncovering Competency Gaps in Large Language Models and Their Benchmarks Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models Paradoxical noise preference in RNNs Prototypicality Bias Reveals Blindspots in Multimodal Evaluation Metrics FastSLM: Hierarchical Temporal Abstraction for Efficient Long-Form Speech Adaptation Safe-FedLLM: Delving into the Safety of Federated Large Language Models DSA-Tokenizer: Disentangled Semantic-Acoustic Tokenization via Flow Matching-based Hierarchical Fusion Hot-Start Chinese Language Modeling:Visual Glyphs Accelerate Sample-Efficient Learning MASCOT: Towards Multi-Agent Socio-Collaborative Companion Systems SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action Models Physics-Encoded Inverse Modeling for Arctic Snow Depth Prediction A Monosemantic Attribution Framework for Stable Interpretability in Clinical Neuroscience Transformer-Based Language Models Multi-Objective Reinforcement Learning for Tactical Decision Making for Trucks in Highway Traffic ELF: A Family of Encoder-Free ECG-Language Models ASKD-Whisper: Adaptive Self-knowledge Distillation for Efficient and Low-Latency Automatic Speech Recognition Demystifying Multi-Agent Debate: The Role of Confidence and Diversity How Much Progress Has There Been in NVIDIA Datacenter GPUs? APB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention When Does Predictive Inverse Dynamics Outperform Behavior Cloning? GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning Med-Scout: Curing MLLMs' Geometric Blindness in Medical Perception via Geometry-Aware RL Post-Training Zero-Shot Off-Policy Learning Probabilistic Performance Guarantees for Multi-Task Reinforcement Learning naPINN: Noise-Adaptive Physics-Informed Neural Networks for Recovering Physics from Corrupted Measurement The Alignment Curse: Modality Alignment Supercharges Audio Attacks via Text Transfer Mixture of Concept Bottleneck Experts Consistency Deep Equilibrium Models Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models Global Geometry Is Not Enough for Vision Representations When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs Equilibrium Propagation for Non-Conservative Systems Universal One-third Time Scaling in Learning Peaked Distributions Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors From Evaluation to Design: Using Potential Energy Surface Smoothness Metrics to Guide Machine Learning Interatomic Potential Architectures Optimal Bayesian Stopping for Efficient Inference of Consistent LLM Answers Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching Inverse Depth Scaling From Most Layers Being Similar Principle-Evolvable Scientific Discovery via Uncertainty Minimization "Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation Collaborative and Efficient Fine-tuning: Leveraging Task Similarity Principled Synthetic Data Enables the First Scaling Laws for LLMs in Recommendation SoK: DARPA's AI Cyber Challenge (AIxCC): Competition Design, Architectures, and Lessons Learned Picasso: Holistic Scene Reconstruction with Physics-Constrained Sampling When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spatial Reasoning Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection Learning to Remember, Learn, and Forget in Attention-Based Models SceneSmith: Agentic Generation of Simulation-Ready Indoor Scenes Beware of the Batch Size: Hyperparameter Bias in Evaluating LoRA Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling What Do LLMs Know About Alzheimer's Disease? Multi-loss Fine-Tuning and Probing for AD Detection SWE-MiniSandbox: Container-Free Reinforcement Learning for Building Software Engineering Agents From Noise to Order: Learning to Rank via Denoising Diffusion You Can Learn Tokenization End-to-End with Reinforcement Learning DenseMLLM: Standard Multimodal LLMs for Dense Prediction Atomix: Timely, Transactional Tool Use for Reliable Agentic Workflows Knowing Isn't Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight Visual Persuasion: What Influences Decisions of Vision-Language Models? APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL PETS: A Principled Framework Towards Optimal Trajectory Allocation for Efficient Test-Time Self-Consistency Are LLMs Ready for Neural-integrated Mechanistic Modeling? A Benchmark and Agentic Framework LERD: Latent Event-Relational Dynamics for Neurodegenerative Classification IDLM: Inverse-distilled Diffusion Language Models Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited Supervision On Imbalanced Regression with Hoeffding Trees Evaluating Reliability Asymmetries in Chinese Factual Search and AI Answers Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments Interpretable Multimodal Gesture Recognition for Drone and Mobile Robot Teleoperation via Log-Likelihood Ratio Fusion You Don't Need All That Attention: Surgical Memorization Mitigation in Text-to-Image Diffusion Models LookWise: Knowing When and Where to Look for Fine-Grained Visual Reasoning in Multimodal Large Language Models Constitutional Black-Box Monitoring for Scheming in LLM Agents Concept Heterogeneity-aware Representation Steering Large Electron Model: A Universal Ground State Predictor Improving Diffusion Planners by Self-Supervised Action Gating with Energies SPARC: Spatial-Aware Path Planning via Attentive Agent Communication One Bias After Another: Mechanistic Reward Shaping and Persistent Biases in Language Reward Models Escaping the BLEU Trap: A Signal-Grounded Framework with Decoupled Semantic Guidance for EEG-to-Text Decoding HALO: Learning Human-Robot Collaboration via Heterogeneous-Agent Lyapunov Policy Optimization Med-V1: Small Language Models for Zero-shot and Scalable Biomedical Evidence Attribution Heterogeneous Decentralized Diffusion Models DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning Geometry-Aware Probabilistic Circuits via Voronoi Tessellations Ethical Fairness in Ubiquitous Health Sensing without Known Attributes ES-Merging: Biological MLLM Merging via Embedding Space Signals ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors Context Matters: Repository-Aware Security Analysis of the Agent Skill Ecosystem scicode-lint: Detecting Methodology Bugs in Scientific Python Code with LLM-Generated Patterns MineDraft: A Framework for Batch Parallel Speculative Decoding To See or To Please: Uncovering Visual Sycophancy and Split Beliefs in VLMs Beyond String Matching: Semantic Evaluation of PDF Table Extraction AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation Failure of contextual invariance in large language models {\lambda}Split: Self-Supervised Content-Aware Spectral Unmixing for Fluorescence Microscopy Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs Limits of Spatial Imagery Reasoning in Frontier LLM Models EuraGovExam: A Multilingual Multimodal Benchmark from Real-World Civil Service Exams Incentives, Equilibria, and the Limits of Healthcare AI: A Game-Theoretic Perspective Understand and Accelerate Memory Processing Pipeline for Large Language Model Inference Acoustic and perceptual differences between standard and accented speech and their voice clones Automated Conjecture Resolution with Formal Verification CalM: A Self-Supervised Foundation Model for Population Dynamics in Calcium Imaging Data Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook AtomEval: Validity-Aware Atomic Evaluation of Adversarial Claim Rewriting in Fact Verification Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optimization U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster Frequency-Enhanced Diffusion Models: Curriculum-Guided Semantic Alignment for Zero-Shot Skeleton Action Recognition Beyond Offline A/B Testing: Context-Aware Agent Simulation for Recommender System Evaluation Genie 4D: Semantic-Prior-Guided 4D Dynamic Scene Reconstruction AffordGen: Generating Diverse Demonstrations for Generalizable Object Manipulation with Afford Correspondence Vibe-driven model-based engineering SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting TInR: Exploring Tool-Internalized Reasoning in Large Language Models Representation over Routing: Diagnosing Temporal Routing Pathologies in Multi-Timescale PPO Just Type It in Isabelle! AI Agents Drafting, Mechanizing, and Generalizing from Human Hints Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models Dual-Anchoring: Addressing State Drift in Vision-Language Navigation BEAT: Tokenizing and Generating Symbolic Music by Uniform Temporal Steps Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation FlowPlace: Flow Matching for Chip Placement How Can Reinforcement Learning Achieve Expert-level Placement? MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution Defeasible Conditional Obligation in a Two-tiered Preference-based Semantics (Extended Version) Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Possibilistic Predictive Uncertainty for Deep Learning STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems Gradients with Respect to Semantics Preserving Embeddings Tell the Uncertainty of Large Language Models MidSteer: Optimal Affine Framework for Steering Generative Models Do Joint Audio-Video Generation Models Understand Physics? Why Self-Inconsistency Arises in GNN Explanations and How to Exploit It Prune-OPD: Efficient and Reliable On-Policy Distillation for Long-Horizon Reasoning Normalization Equivariance for Arbitrary Backbones, with Application to Image Denoising Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation The Cartesian Shortcut: Re-evaluate Vision Reasoning in Polar Coordinate Space OGLS-SD: On-Policy Self-Distillation with Outcome-Guided Logit Steering for LLM Reasoning Multi-Rollout On-Policy Distillation via Peer Successes and Failures REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations RISED: A Pre-Deployment Evaluation Framework for High-Stakes AI Decision-Support Systems, with Application to Healthcare Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective CLIP Tricks You: Training-free Token Pruning for Efficient Pixel Grounding in Large VIsion-Language Models Towards a holistic understanding of Selection Bias for Causal Effect Identification Many-Shot CoT-ICL: Making In-Context Learning Truly Learn AttenA+: Rectifying Action Inequality in Robotic Foundation Models Topology-Preserving Neural Operator Learning via Hodge Decomposition Beyond AI as Assistants: Toward Autonomous Discovery in Cosmology PBT-Bench: Benchmarking AI Agents on Property-Based Testing Avoiding Structural Failure Modes in Tabular Fair SSL: Online Primal-Dual Allocation under Confidence Gating Physics-Guided Geometric Diffusion for Macro Placement Generation Privacy Policy Enforcement Guardrails for Data-Sensitive Retrieval-Augmented Generation DynMuon: A Dynamic Spectral Shaping View of Muon Balancing Knowledge Distillation for Imbalance Learning with Bilevel Optimization Lying Is Just a Phase: The Hidden Alignment Transition in Language Model Scaling Can Vision Models Truly Forget? Mirage: Representation-Level Certification of Visual Unlearning Co-Fusion4D: Spatio-temporal Collaborative Fusion for Robust 3D Object Detection Task-Aligned Self-Supervised Learning for Medical Image Analysis: A Systematic Review and Practical Design Guidelines Attested Tool-Server Admission: A Security Extension to the Model Context Protocol CRISP -- Clustering-Based Redundancy-Reduced Instance Sampling for Pathology Case Representation and Retrieval Treatment Effect Estimation with Differentiated Networked Effect on Graph Data Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark Channel-wise Vector Quantization GoQuant: Geometric Orthogonal Residual Projection for Multiplier-Free Power-of-Two Transformer Quantization Algorithmic Fragility and Persona Bias in LLM-Generated Autistic Communication Targeted Remasking: Replacing Token Editing with Token-to-Mask Refinement in Discrete Diffusion Language Models Beyond Trajectory-Level Attribution: Graph-Based Credit Assignment for Agentic Reinforcement Learning Knowledge Graphs as the Missing Data Layer for LLM-Based Industrial Asset Operations Cast a Wider Net: Coordinated Pass@K Policy Optimization for Code Reasoning Generic Interpretation Approach for Transformer Models Incorporating Heterogenous Attention Structures BenGER: Benchmarking LLM Systems on Subsumption-Based Legal Reasoning in German Law Hallucination Detection-Guided Preference Optimization for Clinical Summarization GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization TIMEGATE: Sustainable Time-Boxed Promotion Gates for Continual ML Adaptation Under Resource Constraints BlockBatch: Multi-Scale Consensus Decoding for Efficient Diffusion Language Model Inference Honest Lying: Understanding Memory Confabulation in Reflexive Agents AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling GiPL: Generative augmented iterative Pseudo-Labeling for Cross-Domain Few-Shot Object Detection HoliTok:A Coutinuous Holistic Tokenization with Robust Dual Capabilities of Speech Generation and Understanding Beyond MSE: Improving Precipitation Nowcasting with Multi-Quantile Regression Dissociative Identity: Language Model Agents Lack Grounding for Reputation Mechanisms CalArena: A Large-Scale Post-Hoc Calibration Benchmark Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments Self-Trained Verification for Training- and Test-Time Self-Improvement Updating the standard neuron model in artificial neural networks Prior Availability in Industrial Visual Sim-to-Real: A Review of CAD-Guided and CAD-Unavailable Regimes Chatterbox-Flash: Prior-Calibrated Block Diffusion for Streaming Zero-Shot TTSGithub Trending (Python)
microsoft/markitdown nesquena/hermes-webui harry0703/MoneyPrinterTurbo D4Vinci/Scrapling p-e-w/heretic TauricResearch/TradingAgents OpenBMB/VoxCPM Z4nzu/hackingtool elder-plinius/OBLITERATUS freqtrade/freqtrade anthropics/claude-code dreammis/social-auto-upload emmabostian/developer-portfoliosGithub Trending (C)
RsyncProject/rsync 86Box/86Box bol-van/zapret2 coop-deluxe/sm64coopdx HarbourMasters/Shipwright xiaojieonly/Ehviewer_CN_SXJ allinurl/goaccess systemd/systemd merbanan/rtl_433 armel/uv-k1-k5v3-firmware-custom wolfSSL/wolfCOSE kristapsdz/openrsync brunodev85/winlator pret/pokeemerald HarbourMasters/Ghostship jqlang/jq dayanch96/YTMusicUltimate libsdl-org/SDL pgvector/pgvectorNature
Author Correction: CHIT1-positive microglia drive motor neuron ageing in the primate spinal cord Publisher Correction: White matter micro- and macrostructure brain charts for the human lifespan Global plastics treaty must be built on a foundation of monitoring Chemicals meant to be eco-friendly accumulate aloft Natural capital accounting needs a way to assess uncertainty Remembering inventor and activist Hertha Ayrton Power imbalances in adviser–student relationships need safeguarding Is it time to ‘cap and trade’ credits for research-funding proposals? The future of science communication is not an article like this Bang! Exploding immune cells splatter potent toxins everywhere Will AI ruin the social sciences — or revolutionize them? First and last authors more likely to be men in leading science journals Better diagnostics could have limited this Ebola outbreak ‘Virtual cells’ aim to turn raw data into predictive models of biology Enantioselective hydrogen atom relay via non-covalent catalyst assembly Passive heart-rate monitoring during smartphone use in everyday life Polymarket vs science: why researchers are sceptical of the prediction-market hype How long can humans live? We simply don’t know Science fiction: nine lab-life novels for your holiday reading Daily briefing: What it will take to stop the spiralling Ebola outbreak Why it’s time to bin recommendation letters in science job applications Robust projections of risks to the Amazon rainforest Smartphone camera takes users’ pulse passively during device use Poor supervision is pushing young researchers out of academia Obesity doesn’t equate to ill health: why the ‘disease’ label doesn’t always fit Feynman solved the ‘restaurant dilemma’ 50 years ago — now a study confirms his mathematics Landmark cancer trial shows success against ‘undruggable’ cancer — raising hopes for future treatments Author Correction: Hidden states and dynamics of fractional fillings in twisted MoTe2 bilayers Author Correction: US oil and gas system emissions from nearly one million aerial site measurements Author Correction: Attenuated fusogenicity and pathogenicity of SARS-CoV-2 Omicron variant Surgeons in imperial China used anaesthetics — in careful doses Gold keeps glittering courtesy of surface chemistry Briefing Chat: When to trust eyewitness memory — according to science How common bacteria fasten their armour Bespoke immune cells stave off ravages of cirrhosis Sarcophagus What it will take to stop the spiralling Ebola outbreak Daily briefing: Pigeons might find their way by following their liver How jazz boosts my creativity in physics First pig liver and kidneys transplanted into a person — strategy could ease organ shortages Ebola can be stopped — but only if world leaders prioritize public health Science sleuths uncover more than 100 suspicious images in Thermo Fisher antibody catalogue Blue Origin rocket explosion rattles NASA’s mission to put humans back on the Moon Share the highs and lows of your career in science: take Nature’s global survey Bridget Ogilvie obituary: parasitologist who championed biomedical labs and scientific evidence Daily briefing: Gene-activity ‘clock’ predicts biological ageing Gene therapies to fix failing hearts gain steam after years in the doldrums Author Correction: Modelling late gastrulation in stem cell-derived monkey embryo models Author Correction: Satellite megaconstellations will threaten space-based astronomy Could a pill prevent the world’s deadliest cancer? Bohmian mechanics remains unchallenged by tunnelling experiment β-Arrestin condensates regulate G-protein-coupled receptor function Human haematopoietic stem cells remember inflammatory stress Darkness and body size shaped end-Cretaceous marine extinction patterns Sparse-to-dense coding transformation between hippocampal areas CA3 and CA1 Technology mediation in child sexual exploitation and abuse in Africa and Asia αKG-mediated carnitine synthesis drives DNA repair via histone acetylation Four ppm measurement of the antihydrogen ground-state hyperfine splitting Cellular water-potential sensing through biomolecular condensation Distinct genetic architecture in the tails of complex traits Universal transcriptomic hallmarks of mammalian ageing and mortality Substrate selectivity of the human RNA m5C methyltransferase NSUN2 Transcription factor codes patterning neuronal groundplans of the cerebrum Spatiotemporal transcriptome atlas of human embryos after gastrulation Dynamical freezing for magnetometry in an interacting spin ensemble Cavity-driven attractive interactions in quantum materials Experimental randomness amplification Redesigning algorithms to intervene on social norm misperceptions during a national election Mechanism of age-related accumulation of mtDNA mutations in human blood Rising global hail damage potential in a warming world Genetic architecture of sugarcane traits in a polyploid genomics framework Metamaterial-enhanced near-field radiative heat transfer Monolithic three-dimensional integration of silicon transistors Temporary carbon dioxide removal to offset short-lived climate forcers A direct black-hole mass measurement in a little red dot at high redshiftCNN
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
DOJ is investigating former congressman George Santos for insider trading on Kalshi Scenes from the aftermath of Russia's latest massive attack on Kyiv Trump signs AI safety order seeking voluntary review of new models 5 ways to reduce everyday exposure to 'forever chemicals' Trump appoints housing official as acting director of national intelligence Doctors checked Biden just after Trump debate as Jill Biden feared he had a stroke How Ebola kills -- and what it takes to stop it DOJ will pause $1.8 billion fund, per court order. And, key primaries to watch today Pentagon policy illegally banned transgender troops from military, appeals court rules EU strikes migration deal for more deportations and detention centers abroadThe Atlantic
What Trump Wants From Bill Pulte One Reason Trump Might Have Chosen His New Intelligence Chief AI Has Ruined the Job Market The Ordinary Miracle of Existing Trump’s Strange Choice for Director of National Intelligence Where Dogs Go On With Their Doggy Life The Art of the Joyful Tearjerker The Strange Appeal of the Solitude Influencer There Is Already a Word for the Deep Moral Failures of AI Democrats Must Learn to Talk Sports How Much of Data-Center Activism Is Really AI Slop? How Raphael Made It All Look So Easy All These Defeats Are Ruining Trump’s Birthday Why Did Donald Trump Get So Suddenly Shy? That’s Enough, Euphoria Photos: Farming in Ukraine’s War Zone The White House Is the New Green Zone Hope, Change, Troll How to Silence the Federal Workforce The Spanish Exception The Plight of the Radical’s Children Use It or Lose It D.C. Progressives’ Great Socialist Hope Memories of Green Trump’s 250th Celebration Is a FiascoVox
Trump’s least qualified appointee yet Why the US doesn’t want American Ebola patients to return home Alabama’s new congressional maps do the one thing the Supreme Court still forbids Why young men are killing their sperm This Democratic governor won in a landslide — and is now at war with her own base Is Trump giving up on his slush fund? Trump’s Freedom 250 fest crashout proves he’s the only true MAGA celebrity The fall of Ben Shapiro Vox’s homepage gets a refresh Welcome to the June issue of The HighlightAl Jazeera
Why women go to war Trump to attend delayed White House Correspondents’ Dinner after shooting Thailand cracks down on foreign companies using fig leaf of local ownership Iran war live: US hits Iran’s Qeshm, says Tehran targeted Kuwait, Bahrain Rania al‑Abbasi’s children: The truth revealed Italy celebrates 80 years of democracy Actor Idris Elba knighted by King Charles at Windsor Castle Protesters use ‘Ebola coffin’ to rally against US quarantine centre European election monitor dismisses rumours of fraud in Colombia’s election Trump berated Netanyahu? Analysts question US-Israel feud rumours Drones light up Taipei’s night sky for Computex trade show Trump administration scraps $1.8bn ‘anti-weaponisation fund’ Russia launches massive overnight attack on Ukraine ‘Milestone’: Macron opens Paris monument honouring Rwanda genocide victims What to know about Tuesday’s primaries in California, New Jersey, Montana Blue Origin failure sets back NASA lunar goals Inside the billion-dollar business of getting a visa Spain bans DR Congo World Cup warm-up due to Ebola fears Palestine weekly wrap: No respite for Eid as Israel kills dozens in Gaza Lebanon hopes crunch talks in Washington will halt an Israeli invasion Who are the best young players to watch at FIFA World Cup 2026? US says Iran’s new supreme leader alive and ‘increasingly engaging’ Israeli settlers torch Palestinian homes in village near Ramallah What Trump ‘telling off’ means for Netanyahu Ukraine’s Kostyuk blasts Russia stars in French Open outburst over warArs Technica
Male bowerbirds hope to dazzle females with bright human-made items Microsoft plans Linux tools and an RTX Spark desktop for Windows developers Microsoft's Project Solara is an Android OS designed for agents instead of apps Amazon-owned Ring should pay Americans for scanning their faces, lawsuit says If I had a hammer... it might actually be a rhino tooth Feds failing in bid to take a supercomputer from a climate research center Mathematicians warn of AI threats to profession as industry encroaches Android phones will soon be able to detect spoofed calls and impersonation scams The truth lies in the past in Silo S3 trailer Number of suspected Ebola cases falls by hundreds as testing ramps up Why a Neo Geo port of Doom is functionally impossible In a surprise launch, China debuts another big rocket designed for reusability Blue Origin has set a very aggressive return-to-flight timeline Slate Auto gets serious about privacy for its bare-bones EV pickup Trump's DOE restarts energy rebate program with dumb conditions Impulse Space raises $500 million as orbital maneuvering race heats up AI costs how much? GitHub Copilot users react to new usage-based pricing system. Why cats prefer silver vine to catnip and other May highlights Moderna gets $50 million to develop mRNA Ebola vaccine against Bundibugyo Hackers duped Meta AI support chatbot to steal celebrity Instagram accountsSlashdot
Mathematicians Warn of AI Threats to Profession As Industry Encroaches European Parliament Ditches Google For French Search Firm Russian Spy Agency Says Foreign Spies Turned Officials' Smartphones Into Surveillance Devices Microsoft Deliberately Bricking All Office For Mac 2019/2021 Installations Microsoft Unveils Scout, an Autonomous AI Agent Built On OpenClaw Trump Signs AI Executive Order Asking Companies To Give Government Early Access To Models Adafruit Pauses Blog After Demand Letter From Flux.ai's Lawyers User-Replaceable Batteries Are Coming Back In a Big Way GitHub Copilot Users React To New Usage-Based Pricing System Google Requests Permission to Release 32 Million Mosquitoes In California and Florida Texas Adds Another Huge Solar Farm As ERCOT Grid Demand Soars Remote Work, Not AI, Has Sidelined Recent College Graduates, Research Finds The Pirate Bay Remains Resilient, 20 Years After The Raid Hackers Simply Asked Meta's AI To Take Over High-Profile Instagram Accounts Florida Sues OpenAI and CEO Sam Altman, Accusing Them of Putting Profit Over SafetySmithsonian Magazine
How Do Pigeons Find Their Way Home? New Research Suggests the Birds' Remarkable Navigational Skills Come From Their Livers A Century After Causing Controversy, Red Cave Markings in Wales Are Classified Again as Britain's Oldest Rock Art Scientists Say They've Discovered 'Little Lab Zombies'—Seemingly Immortal Tissue Taken From Sea Cucumbers This Remarkable Statue of Liberty Model Made by the Sculptor of the Original Has a New Summer Home at the Smithsonian Castle Someone Stole a Banana Duct-Taped to the Wall of a French Museum. One of Its Duplicates Fetched More Than $6 Million at Auction These Experimental Ebola Treatments and Vaccines Might Help Slow the Outbreak Spreading in Congo and Uganda, WHO Says Did Human Ancestors Walk on Their Knuckles Like Today's Chimpanzees? New Research Adds More Evidence to the Debate The Gin and Tonic Is a Cocktail With a Storied History. Don't Overlook Scotland's Connection to the Classic 'Playful Youngster': See the Rare, Endangered Przewalski's Horse Born at the Bronx Zoo The Gouged-Out Testicles of This Bull Mosaic in Italy Are Just Two More Victims of Tourists Abusing Monuments for LuckInfoQ
Presentation: The Human Toll of Incidents & Ways To Mitigate It OpenTelemetry Launches “Blueprints” Initiative to Simplify Enterprise Observability Adoption Article: Why Vector Search Alone Isn't Enough: Hybrid Retrieval for RAG Google Workspace CLI: Unified Command-Line Tool Built for Humans and AI Agents Java News Roundup: OpenJDK JEPs, Hazelcast, Quarkus, Hibernate, Koog, JHipster, Introducing Endive Claude Code Adds Dynamic Workflows for Parallel Agent Coordination Shopify Reports 15X Faster Graphql Execution with Breadth First Engine BadHost Vulnerability Exposes AI Agents, Evaluators, and LLM Gateways Presentation: Theme Systems at Scale: How To Build Highly Customizable Software Article: The AI Productivity Paradox in Test Automation: Moving Beyond Structural Validation to Perception and Intent Podcast: Requirements Analysis for Architects: A Conversation with Sonya Natanzon A Trailing Slash Bypassed AWS API Gateway Authorization DuckDB Quack: Client/Server Protocol over HTTP for Multi-User Analytics Arm Open-Sources Metis, an AI Security Framework Outperforming Traditional SAST Tools Google Cloud Suspends Railway's Production Account, Causing Eight-Hour Platform-Wide OutageDynomight
Is “colorectal cancer” rising in “young people”? What’s with all the slide decks? You’re probably taking the wrong painkiller I quit drinking for a year LLMs predict my coffee The modern formatting addiction in writing Maybe there’s a pattern here? Heritability of human life span is about 50% when heritability is redefined to be something different Why read novels? Good if make prior after data instead of before Why the chicken crossed the road, according to various entities Underrated reasons to be thankful V Make product worse, get money Dating: A mysterious constellation of facts Pointing machines, population pyramids, post office scandal, type species, and horse urine Will the explainer post go extinct? Y’all are over-complicating these AI-risk arguments Shoes, Algernon, Pangea, and Sea Peoples Dear PendingKetchup You can try to like stuff I guess I was wrong about AI 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 discourseMarginal Revolution
Big if true Tuesday assorted links The US Exports Intelligence *The Republic of Love* The chimera of universal coverage in a large, diverse country Monday assorted links Europe Demands Family Dynasties UK facts of the day The political right continues to gain ground in Latin America The returns to good data are rising A new American exceptionalism? Sunday assorted links Lifestyle and living standards arbitrage Saturday assorted links 80,000 Hours: The BookNot Boring
America Spins on Westmag Weekly Dose of Optimism #195 Thank God For Data Centers Weekly Dose of Optimism #194 Cowboy Space Corporation Weekly Dose of Optimism #193 Riding the Leopard Weekly Dose of Optimism #192 Weekly Dose of Optimism #191 Scarce Assets Weekly Dose of Optimism #190 The Great Blue Frontier Weekly Dose of Optimism #189 Weekly Dose of Optimism #188 Weekly Dose of Optimism #187 Bad Analogies Weekly Dose of Optimism #186 Electromagnetism Secretly Runs the World Weekly Dose of Optimism #185 World Models: Computing the UncomputableCoding 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 Space Roboticist Challenge Look Up! NASA Testing Wastewater Treatment Facility for Future Moon Base Be a Clump Scout and Help Reveal Secrets of Stellar Nurseries Spacewalking With Scott Wray, Artemis EVA Training Lead Fire’s Footprint on Santa Rosa Island NASA Awards Modification Contract for Reduced Gravity Test Aircraft NASA Invites Media to See Roman Space Telescope Arrive at Kennedy NASA to Conduct Low-Altitude Flights Near Houston What’s Up: June 2026 Skywatching Tips from NASAQuanta Magazine
The Dirt That Refused To Die Key Chemistry Question Answered, No Quantum Computer Required How We See the Beautiful, Violent Sun When Quiet Undersea Volcanoes Turn Disruptive How Ecotypes Harbor the Genetic Memory of a Species’ PastScience Daily
A hidden pollutant is changing how the world's forests breathe The secret underground system keeping the Grand Canyon alive Scientists discover gut bacteria that may help protect against autism and ADHD A single protein may be holding back CAR T cancer therapy This blood-feeding fly sacrifices its sight after finding a host A stellar “Rosetta stone” reveals the source of mysterious cosmic signals Your brain starts making social decisions before you do Your kitchen sponge is releasing microplastics every time you wash dishes The forgotten organ that could predict how long you live One fat helped pancreatic cancer grow while another cut disease in half New hydrogen breakthrough turns waste heat into clean fuel New light-powered chip could accelerate AI and quantum computing NASA’s X-59 is about to break the sound barrier for the first time NASA’s Roman telescope could reveal 100,000 hidden worlds Hubble captures M88 on a perilous journey that could change it forever Why Sweden’s wolverine conservation success story is unraveling This strange crystal acts like metal and glass at the same time Chimpanzees and bonobos have human-like friend circles, study finds This common amino acid helped mice survive deadly inflammation This drug delayed rheumatoid arthritis for years after treatment ended Scientists found the hidden switch fueling alzheimer’s brain inflammation Why cancer spreads more in middle age than in old age Scientists discover inherited traits that break Mendel’s Laws of genetics New solar desalination breakthrough makes fresh water without toxic brine A quantum metasurface breakthrough could finally close the terahertz gap The ocean's health may depend on a tiny microbe inside fish New 3D silicon chip breakthrough could extend Moore’s Law for years Omega-3 fish oil shows promise against type 2 diabetes Intermittent fasting triggers surprising changes in the brain Repairing DNA damage: Scientists discover a surprising new benefit of melatonin Astronomers finally solve Saturn’s decades-long spin mystery Hidden driving danger when edible cannabis and alcohol mix Caffeine reversed memory problems caused by sleep deprivation Ancient DNA reveals how women helped transform prehistoric Europe This tomato-soy juice reduced inflammation in just four weeks This bizarre crocodile relative from the Triassic looked like an ostrich dinosaur The secret to pigeons’ incredible navigation was hiding in their liver This strange new phase of matter could transform quantum technology This newly discovered raptor may have hunted like a giant heron Scientists say evolution may work differently than we thought A silent kidney crisis is spreading far faster than experts expected Twisted graphene reveals a hidden superconductivity switch Rogue planet moons could harbor alien life for billions of years CBD may slow Alzheimer’s by calming the brain’s immune system Protein traffic jams may explain aging, memory loss, and Alzheimer’s DNA solves 250-year-old mystery of the Seychelles’ lost crocodiles Vitamin B12 and folate deficiencies linked to chronic fatigue Human organoids reveal how to reverse “irreversible” nerve damage Arctic Ocean passed a tipping point and scientists say it may never recover Antarctica’s ice sheet hit a climate tipping point 1 million years ago Scottish wrens may be evolving into new species through island gigantism Forget LASIK: Safer, cheaper vision correction without lasers or surgery Stanford quantum computing breakthrough uses twisted light to work without extreme cooling A 100-year-old piano mystery has finally been solved Scientists break 30-year superconductivity record at normal pressure A New York cemetery was hiding 5.5 million bees underground Earth’s orbital wobble triggered rapid climate chaos during the dinosaur age Researchers block key protein that helps Parkinson’s spread through the brain NASA’s Webb telescope discovers a planet where rock clouds vanish every night NASA’s Fermi telescope reveals the power source behind monster supernovaeSpaceflight Now
Live coverage: SpaceX to launch 29 Starlink satellites on Falcon 9 rocket from Cape Canaveral SpaceX launches 50th Starlink mission of 2026 ULA launches 29 Amazon Leo satellites on Atlas 5 rocket from Cape Canaveral Blue Origin’s New Glenn rocket explodes during prelaunch testing at Cape Canaveral SpaceX launches 29 Starlink satellites on Falcon 9 rocket from Cape Canaveral FAA requires SpaceX-led mishap investigation before resumption of Starship launches NASA outlines nearly $1 billion investment into initial Moon Base missions Preview: NASA updates progress towards established a Moon Base, Artemis 3 mission SpaceX launches 24 Starlink satellites on Falcon 9 rocket from Vandenberg SFB SpaceX launches 29 Starlink satellites on Memorial DaySpace Daily
Almost everyone assumes Venus is our nearest neighbour, but averaged across its orbit the planet closest to Earth is actually Mercury Much of what we know about the scale of the universe rests on a method worked out by a woman employed as a human computer at Harvard for a few cents an hour The conversation women aren’t having with their doctors about menopause and memory loss isn’t just overdue — it may be one of the most important health decisions of their fifties The light from the Andromeda Galaxy — the most distant object visible to the naked human eye — left its source about 2.5 million years ago, which means when you look at it on a clear night, you are seeing light that began its journey to Earth around the time the first members of our genus, Homo, were learning to use stone tools Laughter activates many of the same brain reward circuits as food and sex, and a 2025 study finds it measurably lowers cortisol and may restructure how the developing brain builds resilience to stress Tomatoes were considered poisonous in much of Europe for nearly two centuries after they were introduced from the Americas — not because of anything dangerous in the fruit itself, but because the plant belongs to the same botanical family as deadly nightshade, with leaves and stems that really do contain toxic alkaloids, and the misunderstanding kept the fruit out of European cuisine until the late 1700s Saudi Arabia imports sand — despite being a country dominated by desert, the sand of the Arabian Peninsula is too smooth and round for use in construction concrete, because thousands of years of wind erosion have polished the grains to a shape that does not bond well with cement, and most construction sand must be imported from countries like Australia Sequoia and redwood trees alive today were already mature when the Roman Empire was at its peak — the oldest living giant sequoias are over 3,000 years old, which means they were standing in California before the Parthenon was built in Athens, before Julius Caesar was born, and before the Roman Empire even existed A lost continent lies in pieces beneath southern Europe. Geologists call it Greater Adria: a Greenland-sized landmass that was crushed under Europe, leaving its scraped-off remains scattered through the mountains of Italy, Greece and the Balkans. There is a planet 63 light-years from Earth where the rain is made of molten glass, the winds blow at 7,000 kilometres per hour, the daytime temperature is over 1,000 degrees Celsius, and the planet itself, viewed from space, is the same deep blue as Earth.Space News
NRO nominee says commercial space, AI are reshaping spy satellite agency Global SSA Market to Reach $61B as Governments Prioritize Space Security, Resilience, and Orbital Safety The importance of determining an equilibrium state for space traffic management UK explores Vast space station mission for astronaut with physical disability Impulse Space raises $500 million Voyager to acquire lunar lander developer Astrobotic Researchers call for regulations to protect low Earth orbit environment NASA abandons ‘core module’ concept for commercial space station development France to fly two astronauts on Vast missions Northrop Grumman partners with Apex on space-based interceptors for Golden Dome Spaceport facility bonds are now law – and they fundamentally change space infrastructure finance China conducts surprise launch of Long March 12B, delivers Qianfan satellites on debut flight New Glenn failure worsens constrained launch market China launches test direct-to-device satellites for multiple projects FAA documents outline SpaceX plans for Starfall reentry vehicles Blue Origin gets national security launch task order hours before New Glenn explosion Space Force awards SpaceX $4.16 billion to build satellite network for airborne target tracking Space Force’s commercial gatekeeper offers a playbook for startups seeking defense business Bellatrix and TelePIX plan 2028 air-breathing VLEO imaging demonstration Spatial data has become a weapon of war in the US-Iran war China’s latest batch of new and reusable rockets are close to launch New Glenn rocket explodes on Cape Canaveral pad Space Force plans nationwide network of ‘resilient operations centers’ Observable Space raises $90 million and wins Space Force contract for optical systemsMartin Fowler
Fragments: June 2 Fragments: May 27 The test suite as a regression sensor The VibeSec Reckoning Bliki: Vibe Coding Three more static code analysis sensors Maintainability sensors for coding agents Fragments: May 14 Bliki: Interrogatory LLM 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 Context Anchoring Ideological Resistance to Patents, Followed by Reluctant Pragmatism Humans and Agents in Software Engineering Loops Design-First Collaboration Knowledge PrimingAttack Magazine
Ableton Extensions SDK Turns Live Suite Into An Experimental Development Platform LabelWorx Unveils Elevate Funding Programme for Independent Labels Kaitlyn Aurelia Smith With London Contemporary Orchestra, Barbican Review What Happened At Boards of Canada’s “Inferno” Tokyo Listening Session SystemOne Unveils Major Rebuild Of Booking Agency Platform Attack Mag Podcast EP 14: Juliet Fox New SyncPlacement Platform Aims To Simplify Sync Research For Independent Artists Komplete 26: Pros, Cons & Best New Features AlphaTheta-Backed Study Examines Electronic Music’s Effect On Stress And Recovery Visualising Voices: Connecting TouchDesigner With Ableton LiveDJ TechTools
Engine DJ 5.0: on-board stems on the System 1, RGB waveforms for everyone Devious Pocket: a €249 open-source DVS that ditches the laptop InMusic just bought Native Instruments. So what now for Traktor? The DJM-V5 from AlphaTheta: 3 channels, 4-band EQ, V10 sound – no Beat FX or crossfader. Traktor MX2: Native Instruments’ New 2-Channel Controller Akai Launches MPC Live III Standalone With 8-Core Processor, Clip Matrix, Stems, and 3D Pads Ableton launches Live 12 Suite rent-to-own plan – and it’s not a subscription Meet the TR-1000: Roland’s new analog/digital drum machine with built-in sampling