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Trump-endorsed Ed Gallrein unseats Rep. Thomas Massie in Kentucky GOP primary - NBC News Justice Department expands Trump settlement to cover his tax audits - Politico Andy Barr Wins Republican Primary for McConnell’s Seat in Kentucky - The New York Times Senate advances bill aimed at ending Iran war as Cassidy, after primary loss, flips to support it - AP News Trump held meeting on Iran war plans after pausing attack - Axios Senate Republicans angry and alarmed over Trump’s Paxton endorsement - Politico Teens suspected in mosque shooting met online, where they were radicalized, FBI says - San Diego Union-Tribune Donike Gocaj dies after falling into open manhole in Midtown Manhattan, NYC - ABC7 New York NAACP calls on Black athletes to pause on southern schools over voting rights. - NBC News Trump approval drops to 35% as Republican support softens, Reuters/Ipsos poll finds - Reuters 'Ebola has tortured us': Fear as DR Congo outbreak spreads - BBC As Putin visits China, distrust simmers beneath an anti-U.S. alliance - The Washington Post Son of Mango boss arrested over father's fatal fall from cliff - BBC Far-right Israeli minister Bezalel Smotrich says ICC is seeking his arrest - The Guardian Bond Yields Hit Highest Level Since 2007 as Inflation Fears Set In - The New York Times SpaceX IPO Could Return More Than $60 Billion Each for Founders Fund, Valor - The Information Exclusive / Trump backs down from requiring banks to collect citizenship information - Semafor Mortgage Rates Jump Again, Now up 0.75% Since Start of The War - Mortgage News Daily How to use Google’s new AI agents to go beyond your standard searches - TechCrunch Sony’s 1000X The Collexion are cushy and costly - The Verge Google announces Wear OS 7 with Live Updates, widgets, more - 9to5Google Google rolling out Android 17 QPR1 Beta 3 for Pixel - 9to5Google ‘Star Wars: Mandalorian & Grogu’ Hopes To Hyper-Space To $160M Global Opening Over Memorial Day Weekend – Box Office Preview - Deadline Hayden Panettiere Says a ‘Well-Respected’ Oscar Winner Flashed His Testicles at Her When She Was 19 - Variety Gabbie Gonzalez's Hubby, Ex-Nanny Spilled About Alleged Murder for Hire Plot - TMZ ‘Grey’s Anatomy’ Spinoff Set in Texas Scores ABC Series Order for 2026-27 - The Hollywood Reporter Jason Kidd, Mavs Part Ways with 4 Years Left on HC Contract, Missed Playoffs Twice After Luka Trade - Bleacher Report Arsenal’s Premier League title winners 2025-26: player-by-player ratings - The Guardian A teen umpire tossed a baseball coach in a now-viral video. Here’s his side of the story - The New York Times Sources: Chiefs' Rice had surgery on right knee last week - ESPN Newly discovered asteroid to pass closer to Earth than the moon Monday - NBC News One Mars spacecraft, two senators, and a cloud of questions - Ars Technica NASA updated Artemis III and SpaceX’s role just got more complicated - Teslarati Scientists May Have Found the Blueprint of the Human Body at the Bottom of the Ocean - Yahoo US health officials order quarantine for 2 passengers from cruise ship with hantavirus outbreak - AP News Surprising drug combo could reshape treatment for suicide risk - The Washington Post Douglas County adult dies from hantavirus, health officials say there’s no link to cruise ship outbreak - Colorado Public Radio Michigan health officials warn of rising Salmonella outbreaks linked to backyard poultry - ClickOnDetroit | WDIV Local 4BBC News
Surrey Police investigating child sex abuse allegations after Epstein files release Was Married at First Sight UK an 'accident waiting to happen'? Twenty-two years in the making - how Arsenal celebrated title win Young drivers targeted by 'ghost brokers' selling fake car insurance online Trump-backed challenger defeats Republican rebel Massie in primary Friendship or geopolitics? BBC breaks down Xi and Putin relationship Dozens of romance scammers arrested after specialist fraud squad investigation UK should set maximum working temperature rules, advisers say BBC confirms new Strictly Come Dancing hosts Supermarkets urged to limit food prices by government Key people smuggler arrested after BBC uncovered identity Southampton expelled from Championship play-offs for spying on Middlesbrough Trump endorses Paxton in Texas, gambling on a challenger with baggage in a crucial race Faisal Islam: Why a full HS2 line could still be built despite the latest fiasco The Papers: 'Cap prices on staple foods' and 'Strictly's triple twist' Victim or enabler? Epstein girlfriend who could face questions despite plea deal Disabled man 'rotting' on a hospital ward - despite being fit to go home 'Ebola has tortured us': Fear grips eastern DR Congo as deadly virus spreads What's happening to UK petrol and diesel prices? Adverts for DNA self-swab kits banned as misleading Taiwan Travelogue, a love letter to food and adventure, wins International Booker Prize Lebanon says 19 killed in Israeli air strikes Grant Shapps quits aerospace firm after watchdog probe Father-of-eight killed in San Diego mosque shooting hailed as hero Ebola outbreak may be spreading faster than first thought, WHO doctor warns More than 60 Labour MPs call for review of UK voting system BBC News app The £100Bn HS2 Debacle Americanswers... on 5 Live! Has Zohran Mamdani achieved a miracle in New York? Boats, fire and a TikTok song - inside Arsenal's title win Title despair & Guardiola going - 24 hours of pain for Man City The crucial split-second call that could deny Spurs safety Southampton expelled from play-offs for spying Arsenal win Premier League as Man City held at Bournemouth Twenty-two years in the making - how Arsenal celebrated title win Two-time winner Alcaraz out of Wimbledon with injuryFinancial Times (World)
Trump’s ‘worst’ Republican critic loses most expensive House primary ever UK Treasury pushes supermarkets to cap food prices The stock market that outpaced Nasdaq’s dotcom-era gains Morgan Stanley issues China-only iPhones to its Hong Kong bankers Power from Sizewell C will be more expensive than Hinkley Point, says UK watchdog Nearly all UK homes will overheat by 2050 without ‘critical action’ FirstFT: Trump claims Xi promised not to send weapons to Tehran Yáng Shuāng-zi and Lin King win the International Booker Prize Trump and sons granted ‘forever’ immunity from existing tax audits Trump endorses ‘Maga warrior’ Ken Paxton in Texas Senate run-off UK considers levying ‘oligarch premium’ on overseas buyers of expensive homes Wall Street prepares for boom in tech IPOs after Cerebras’ success Shapps broke rules on ministerial appointments with role at military tech start-up Son of billionaire Mango founder released after detention over father’s fatal fall ‘Married at First Sight’ allegations shock UK TV industry Reform UK unveils candidate to challenge Andy Burnham in by-election How will Andy Burnham pay for his plans for the UK? Trump claims Xi will not arm Iran as strike threat looms UK police probe child sexual abuse claims after Epstein revelations America needs to put the renminbi back on the international agenda Israeli ultranationalist minister claims ICC is seeking his arrest Investors warn of ‘correction’ risk as high-flying stocks defy bond gloom Chanel to open more stores in China as new designer stirs ‘Blazy mania’ Putin and Xi to discuss huge gas project at China summit Xi told Trump that Putin might ‘regret’ invasion of UkraineFinancial Times (UK)
UK Treasury pushes supermarkets to cap food prices Power from Sizewell C will be more expensive than Hinkley Point, says UK watchdog Southampton kicked out of football’s richest game for spying on opponents UK considers levying ‘oligarch premium’ on overseas buyers of expensive homes Shapps broke rules on ministerial appointments with role at military tech start-up ‘Married at First Sight’ allegations shock UK TV industry Reform UK unveils candidate to challenge Andy Burnham in by-election How will Andy Burnham pay for his plans for the UK? UK police probe child sexual abuse claims after Epstein revelations Stockpicker Nick Train receives £9mn payout despite plunge in profits HS2 to cost up to £102.7bn, government admits Sweden selects French navy frigates in €3.7bn deal in blow to UK’s Babcock The best exhibitions to see in London this weekend UK job vacancies tumble to five-year low as Middle East conflict hits hiring Energy price cap to rise less than initially forecast The Labour Party’s attitude to Brexit is like the country’s view of church UK labour market March data bolsters the case to hold for now EU braces for fertiliser squeeze triggered by Iran war Why politicians struggle to read the public on immigration Labour’s lack of intellectual rigour has returned to bite it Millions of Britons not saving enough for retirement, warns Pensions Commission Worries on gilts point to wider bond market vulnerabilities Inside the luxury towers behind Manchester’s revival Belfast Harbour unveils £1.3bn growth plan to close gap with rival Dublin NHS plans to scale back recruitment drive and use AI to avoid ‘financial ruin’The New York Times
Meta Begins Laying Off 8,000 Employees Amid A.I. Transformation How Google Is Starting to Win the A.I. Race Powered by A.I., Google Changes Its Search Box for the First Time in 25 Years As OpenAI Celebrates Court Win Against Musk, Other Challenges Lie Ahead Rising Energy Costs and Data Centers at Heart of NextEra’s Dominion Bid Senate Republicans Introduce Funding Measure to Combat Online Child Abuse Tesla’s Semi Truck could Jolt the Trucking Industry Bipartisan Bill Would Impose New Annual Fee on Electric Vehicles After Elon Musk’s Court Loss Comes the Long Hot A.I. Summer Meta Reassigns 7,000 Employees to Focus on A.I. Elon Musk Loses $150 Billion Suit Against OpenAI and Sam Altman Five Takeaways From the Blockbuster Trial Pitting Elon Musk Against OpenAI What to Know About Elon Musk’s Trial Against OpenAI Here’s what was on the jury’s list for a decision. Here’s the latest. Peter G. Neumann, Who Warned of Computer Security Risks, Dies at 93 Did You Mean to Share That Selfie? What to Know About Instagram Instants. OpenAI Bought Company That Offered A.I. Tools for Cloning Voices A.I. Safety Is So Back + Mythos Mayhem with Nikesh Arora + Hot Mess Express Nvidia’s Future in China Remains Unclear After Trump-Xi Summit U.S. and China Will Start Discussing A.I. Safety, Bessent Says OpenAI Considers Legal Action Against Apple in Strained Relationship OpenAI Trial Heads to Jury After Closing Arguments in Musk vs. Altman Case What the jury had to weigh to decide the case. Microsoft’s C.E.O. testified about the company’s OpenAI investments. Why A.I. Safety Controls Are Not Very Effective Cerebras, A.I. Chip Maker, Rises 89% in Market Debut as Tech IPOs Ramp Up Elon Musk’s lawyer asked Sam Altman on the stand: Are you trustworthy? Here’s the latest. Why ‘Smart’ Products Have Started to Look Like the Dumb Choice Ishmael Reed Is Writing a Play About Elon Musk Crypto Industry Pushes a Bill to Tilt Regulation in Its Favor A Start-Up Aiming to Make Geothermal Energy Mainstream Goes Public Dozens of Polymarket Bets Show Signs of Insider Trading, The Times Finds Fuel Prices Drive Sales of E.V.s, Just Not in the U.S. Silicon Valley’s A.I. Lobbying Blitz Reaches a Fever Pitch Notable Researchers Join $4 Billion Effort to Build Self-Improving A.I. Tired of Hacked Passwords? Help Is on the Way. Andreessen Horowitz Is Playing Politics Like No Other Anduril Raises $5 Billion in Funding and Is Valued at $61 Billion Nvidia C.E.O. Jensen Huang Hitches Ride With Trump to China After Last-Minute InviteThe Guardian
Rubio criticizes WHO’s Ebola response as US continues sweeping public health cuts WHO considers use of experimental vaccines as Ebola cases and deaths rise in DRC As WHO sounds alarm over Ebola in DRC, what can be learned from previous outbreaks? US claims ‘emergency refugee situation’ as it admits 10,000 more white South Africans Calls for release of Sierra Leonean singer jailed in ‘crackdown on free speech’ Three Toronto police officers arrested over sexual assault in Barcelona Woman shot dead by police in Jamaica at protest over previous police shooting Defense department watchdog opens inquiry into US airstrikes on alleged drug boats Pressure on Mexico after two ex-officials surrender to US over alleged cartel ties Cuba warns US of ‘bloodbath’ if military action follows drone claims Vladimir Putin arrives in Beijing for state visit hot on heels of Trump Fears of new China shock as EU industry’s reliance on imports grows Trump’s shifting remarks on Taiwan are perfect for China to exploit Starbucks Korea CEO dismissed over ad evoking massacre of pro-democracy protesters Xi prepares to welcome Putin to China four days after hosting Trump Australia news live: shadow treasurer Tim Wilson promises campaign to support small businesses; AI nudify service ordered to block children’s access Kylie Minogue announces she had second cancer diagnosis in 2021 One person dead and four in hospital after alleged shooting in Sydney’s south-west Former governor general and Brisbane’s Anglican archbishop Peter Hollingworth dies at 91 ‘Foolish’ CSIRO job cuts will mean Australia unable to provide climate projections to global reports, scientists warn US warns Russia after Moscow threatens Latvia – as it happened Son of Mango fashion chain founder arrested in Spain over father’s death Russian jamming blamed after Nato jet downs Ukrainian drone over Estonia Clint Eastwood cannon from The Good, the Bad and the Ugly traced to Spanish museum Belfast harbour operator to invest £1.3bn as NI economy grows Israeli strikes on Lebanon kill at least 19 as clashes with Hezbollah continue despite ceasefire JD Vance says US remains ‘locked and loaded’ to restart military campaign as Iran warns of ‘new fronts’ – as it happened Trump turns to Middle East allies as deal to end Iran war proves elusive Trump threatens ‘a big hit’ if Tehran does not make deal soon Strike near UAE reactor revives concerns over nuclear plant safety in wartime US reportedly dropped fraud charges against Indian billionaire after he hired Trump’s lawyer Trump ally Roger Stone condemned for providing lobbying services to Myanmar’s military junta Tensions high in West Bengal after BJP aide shot dead and hundreds arrested ‘Defeated by conspiracy’: West Bengal chief minister refuses to resign after election loss Narendra Modi’s BJP wins election in West Bengal for the first time UK supermarkets urged to consider voluntary price caps on essential foods UK ‘built for climate that no longer exists’ and needs urgent changes to survive global heating, report warns Britain must think like a hot country – otherwise inequalities will only grow Spending watchdog warns £38bn cost of Sizewell C nuclear plant is ‘risky’ ‘We’ve done it’: euphoria as Arsenal win first Premier League in a generation ‘They decided to buy the seat’: Massie speaks out after losing House primary to Trump-backed challenger Ed Gallrein – live Trump critic Thomas Massie defeated in Kentucky Republican House primary Teenagers behind mass shooting in San Diego rushed at mosque ‘fully armored’ Firm finds LA county officials did not discriminate in response to Eaton fire Thousands under evacuation orders in southern California as wildfire threatens homesHacker News
GitHub is investigating unauthorized access to their internal repositories Remove–AI–Watermarks – CLI and library for removing AI watermarks from images Era: From Nature publication to catalyzing Computational Discovery OpenAI Adopts Google's SynthID Watermark for AI Images with Verification Tool Dumb ways for an open source project to die Mistral AI Acquires Emmi AI to Create the Leading AI Stack Minnesota becomes first state to ban prediction markets Disney erased FiveThirtyEight The TTY Demystified (2008) Google changes its search box Gemini Omni Gemini 3.5 Flash I’ve built a virtual museum with nearly every operating system you can think of Copy Fail, Dirty Frag, and Fragnesia kernel vulnerabilities I’ve joined Anthropic Why is almost everyone right-handed? A new study connects it to bipedalism Show HN: Forge – Guardrails take an 8B model from 53% to 99% on agentic tasks Apple unveils new accessibility features Show HN: Gaussian Splat of a Strawberry CISA Admin Leaked AWS GovCloud Keys on GitHubArxiv astro-ph.HE
Polarization Birefringence and Waveform Systematics in GW231123 The pair-instability origin of supernova 2023vbw The interaction phase of engine-driven explosions and high-energy winds A 14-year-old Mystery: The Peculiar Case of the Engine-driven SN 2012ap Neutrino Flavor Conversion Shapes the Rate of Failed Core-collapse Supernovae Is the Binary Black Hole Population Inference from Gravitational-Wave Data Robust? Probing the Mass-loss Histories of Type IIn and II-L Supernovae with Late-time Radio Observations The Torques Acting on Accreting Millisecond X-Ray Pulsars in the Outburst and Quiescent States, and During the Long-Term Evolution Multiwavelength Probes of Cosmic Ray Transport in Molecular Cloud Structures XRISM detection of the 6.4 keV Fe K$\alpha$ line in the radio galaxy Cygnus A Simulation study of the cosmic ray Sun shadow with a time-dependent solar magnetic field model SN 2023dbc in M108: Optical and Near-Infrared Observations of a Highly-Obscured, Moderately Energetic Stripped-Envelope Supernova Nonlinear electrodynamics in magnetars: systematic effects on radius constraints and timing analysis Jet-Structure Imprint on the Curvature Tail of Gamma-Ray Burst Prompt Emission Identifying observable MeV lines from the decays of weak and main $r$-process isotopes in mergers Radio Emission from Fast Blue Optical Transients Powered by Trans-relativistic Shocks in Confined Circumstellar Material Understanding corona and disk evolution in black hole X-ray binaries through a comprehensive study of their broadband variability and QPO characteristics Precise and Rapid Parameter Inference of Kilonova with Conditional Variational Autoencoder Exploring the Transitional Parameter Space of Blazars using Gamma-ray and X-ray Population Diagnostics Accretion geometry and spectral evolution in 1A 1118-61: a comparison of the 2009 and 2026 outbursts GRMHD Simulations of Magnetized Accretion Disk/Jet: Variabilities of Black Holes and Spectral Energy Distributions in Magnetic States Population synthesis of active galactic nuclei based on the radiation-regulated unification model Charged-current neutrino opacity within the relativistic Hartree-Fock framework for astrophysical simulations of core-collapse supernovae and binary neutron star mergers Diffuse gamma-ray emission in the vicinity of open cluster Berkeley 87 Classification of IGR J20084+3221 as an Intermediate Polar using X-ray and Optical Observations The First Insights into an Ultraluminous X-ray Pulsar with XRISM: Phase-Resolved High-Resolution Spectroscopy of the Fe K-shell Band of M82 X-2 Higher-order statistics of the stochastic gravitational wave background from supermassive black hole binaries Search for the Highest-energy Quasiperiodic Oscillation in the Black Hole X-Ray Binary Candidate Swift J1727.8-1613 Spectral energy-loss bump and $\gamma$-ray pulsar halos Anisotropic Ejecta from Binary Neutron Star Mergers: Self-Consistent Main Thermal and Late-Time Radio Emission of NS-Powered Kilonovae Sub-stellar Strange Quark Matter Objects: Predicting a New Class of Highly-Compact Candidates Two kinds of Galactic source populations could explain the cosmic-ray observation up to the "knee" region A Three-Dimensional Exploration of Magnetic Fields, Rotation, and Shock Revival in a $39 M_\odot$ Core-Collapse Supernova Progenitor Iron line diagnostics of the stellar wind in X1908+075 A 4200-hour HyperFlash and \'ECLAT campaign on the hyperactive FRB 20240114A: constraining energetics with the most brilliant bursts Pulse profile modelling of the 2024 outburst of the accreting millisecond pulsar SRGA J144459.2-604207 A universal framework to identify eccentric binary mergers: GW200105 case study Wide parameter-space O3 search for continuous gravitational waves from unknown neutron stars in binary systems Particle Dynamics, Shadow and Hawking Sparsity of a Kalb-Ramond Black Hole Coupled to Nonlinear Electrodynamics Halo-driven Origin and Suppression of Over-massive Black Holes and Little Red Dots Searching for the Third Wheel: High-Contrast Imaging Constraints on Tertiaries to Black Hole and Neutron Star Binaries Rapidly Rotating Neutron Star Collapse in Massive Scalar-Tensor Theories SN 2023fyq: direct detection of a Type Ibn supernova progenitor and its multi-wavelength environmental constraints A Rare Population of Intermediate-mass Helium Stars Between Hot Subdwarfs and Wolf-Rayet Stars Red novae, their progenitors, and remnants Impact of the axion-like self-interactions in gravitational atoms for LISA Pole Skipping, Avoided Crossing, and Resonant Excitation in Kerr Quasinormal Modes near Algebraically Special Frequencies Nuclear Activity and Host Galaxy Properties of Low-Luminosity AGN Identified from VLA Observations Constraining the magnetic field strength of a flaring radio core in the compact steep spectrum source 3C 138 Probing (sub-)solar-mass black holes and superspinars with current and next-generation gravitational-wave observatories Astrophysics equation of state inference with Bayesian chiral effective field theory uncertainties Towards the Deployment of the First NectarCAM, a Medium-Sized-Telescope Camera for the Cherenkov Telescope Array Observatory Method for testing diffusive shock acceleration and diffusion propagation of 1-100 TeV cosmic electrons with multiwavelength observations of the Geminga halo and pulsar wind nebula Characterizing the host galaxies and delay times of Ca-rich gap transients vs 91bg-like SNe and normal Type Ia SNe The GRB Intrinsic Duration Distribution: Progenitor Insights Across Cosmic Time Polarization Signatures of Inspiraling Hotspots around Kerr Black Holes Variable ADAF disk as the origin of Changing-Look AGN Multiwavelength Analysis of PSR J0437-4715 with Pulse Profile Modeling Gravitational Lensing of Gravitational Waves from Astrophysical Sources: Theory, Detection, and Applications Modelling DSA, FAST and CRAFT surveys in a z-DM analysis and constraining a minimum FRB energy Radiatively Cooled Binary Mass Transfer: Flow Structure, Luminosities, and L2 Outflows Across Mass Transfer Rates U-spin symmetry energy and hyperon puzzle Low-frequency radio telescopes sensitivity to light dark matter proto-Lightspeed: a high-speed, ultra-low read noise imager on the Magellan Clay Telescope Quarkyonic matter and hadron-quark crossover from an ultracold atom perspective Hot blue progenitors of stellar-mass black holes Time-of-Flight Constraints on Neutrino Millicharge from Supernova Neutrinos in Galactic Magnetic Fields Ellipsoidal modulation and multi-wavelength activity in the pre-cataclysmic binary RX J1553.0+4457Arxiv cs.LG
Systematic Optimization of Real-Time Diffusion Model Inference on Apple M3 Ultra Mirror Descent-Type Algorithms for the Variational Inequality Problem with Functional Constraints Reducing Credit Assignment Variance via Counterfactual Reasoning Paths SignMuon: Communication-Efficient Distributed Muon Optimization When Actions Disappear: Adversarial Action Removal in Self-Play Reinforcement Learning A Structural Threshold in Decision Capacity Governs Collapse in Self-Play Reinforcement Learning Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning Forecasting Medium-Horizon Alzheimer's Disease Progression: Residual Gap-Aware Transformers for 24-Month CDR-SB Change from ADNI Clinical and Biomarker Histories AdaGraph: A Graph-Native Clustering Algorithm That Overcomes the Curse of Dimensionality and Enables Scientific Discovery Language Game: Talking to Non-Human Systems Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval Phase Transitions in Driven Informational Systems: A Two-Field Perspective on Learning Theory and Non-Equilibrium Chemistry Preference Instability in Reward Models: Detection and Mitigation via Sparse Autoencoders Orth-Dion: Eliminating Geometric Mismatch in Distributed Low-Rank Spectral Optimization DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models LoopQ: Quantization for Recursive Transformers Goal-Conditioned Supervised Learning for LLM Fine-Tuning PropGuard: Safeguarding LLM-MAS via Propagation-Aware Exploration and Remediation HPC-LLM: Practical Domain Adaptation and Retrieval-Augmented Generation for HPC Support Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field Geometric Asymmetry in MoE Specialization: Functional Decorrelation and Representational Overlap Federated Nested Learning: Collaborative Training of Self-Referential Memories for Test-Time Adaptation PIMSM: Physics-Informed Multi-Scale Mamba for Stable Neural Representations under Distribution Shift Augmenting Human Evaluation with LLM Judges: How Many Human Reviews Do You Need? LEAF: A Living Benchmark for Event-Augmented Forecasting ProxyKV: Cross-Model Proxy Pruning for Efficient Long-Context LLM Inference TailedTS: Benchmark Dataset for Heavy-Tailed Time Series Prediction and Periodicity Quantification When Is Rank-1 Steering Cheap? Geometry, Granularity, and Budgeted Search ORACLE: Anticipating Scams from Partial Trajectories in Streaming App Usage Machine Learning-Based Pre-Test Risk Stratification for PCR-Confirmed Chlamydia Using Patient-Reported Data and Urine Biomarkers Lost or Hidden? A Concept-Level Forgetting in Supervised Continual Learning M$^2$FedAQI: Multimodal Federated Learning for Air Quality Prediction on Heterogeneous Edge Devices Mixing Times of Glauber Dynamics on Masked Language Models An Information-Theoretic Criterion for Efficient Data Synthesis ReTAMamba: Reliability-Aware Temporal Aggregation with Mamba for Irregular Clinical Time Series Prediction QuantFPFlow: Quantum Amplitude Estimation for Fokker--Planck Policy Optimisation in Continuous Reinforcement Learning A Theory of Training Profit-Optimal LLMs Edge-AI-Driven Learning-to-Rank for Decentralized Task Allocation in Circular Smart Manufacturing GPU-Accelerated Deep Learning for Heatwave Prediction and Urban Heat Risk Assessment Byzantine-Resilient Federated Learning via QUBO-Based Client Selection on Quantum Annealers DeepArrhythmia: Segment-Contextualized ECG Arrhythmia Classification via Selective Evidence Acquisition Two-Valued Symmetric Circulant Matrices: Applications in Deep Learning Membership Inference Attacks on Discrete Diffusion Language Models Avoiding Structural Failure Modes in Tabular Fair SSL: Online Primal-Dual Allocation under Confidence Gating Nested Spatio-Temporal Time Series Forecasting PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting Physics-Guided Geometric Diffusion for Macro Placement Generation Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Sign QuChaTeR: A Hybrid Quantum-Chaotic Temporal Framework for Earthquake Prediction Identifiable Token Correspondence for World Models Strategic Over-Parameterization for Generalizable Low-Rank Adaptation Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Hypergraph Pattern Machine: Compositional Tokenization for Higher-Order Interactions Multiscale Supervised Unbalanced Optimal Transport Flow Matching Boundedly Rational Meta-Learning in Sequential Consumer Choice Symphony for Speech-to-Text: Supporting Real-Time Medical Voice Interfaces World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems Automatic Unsupervised Ensemble Outlier Model Selection--Extended Version Wavelet Flow Matching for Multi-Scale Physics Emulation Structure-Aware Masking for Protein Representation Learning How Few-Shot Examples Add Up: A Causal Decomposition of Function Vectors in In-Context Learning Where Pretraining writes and Alignment reads: the asymmetry of Transformer weight space R2V Agent: Teaching SLMs When to Ask for Help To MRL or not to MRL: Text Embeddings are Robust to Truncation Without Matryoshka Embeddings, Except In Heavy Truncation Scenarios Tensor Cookbook: Mastering Tensors through Diagrams Learning What Evaluators Value: A Reliable Approach to Modeling Evaluator Preferences MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility SCOUT: Cyclic Causal Discovery Under Soft Interventions with Unknown Targets Does Weight Decay Enhance Training Stability? Learning How to Cube MedMIX: Modality-Internal Expert Fusion for Multimodal Medical Diagnosis Provably Shorter Scratchpads in Hybrid DeltaNet-Attention Decoders In-context learning enables continental-scale subsurface temperature prediction from sparse local observations GraViti: Graph-Level Variational Autoencoders with Relaxed Permutation Invariance Identify Then Project: Contrastive Learning of Latent Dynamics from Partial Observations with Port-Hamiltonian Structure Scalable Knowledge Editing for Mixture-of-Experts LLMs via Tensor-Structured Updates UB-SMoE: Universally Balanced Sparse Mixture-of-Experts for Resource-adaptive Federated Fine-tuning of Foundation Models EfficientTDMPC: Improved MPC Objectives for Sample-Efficient Continuous Control Your SaaS Is an Insurance Product: A Modeling Framework Convex Dataset Valuation for Post-Training Isolating Nonlinear Independent Sources in fMRI with $\beta$-TCVAE Models EmoMind: Decoding Affective Captions from Human Brain fMRI Propagation of Chaos in Contextual Flow Maps Learning Unbiased Permutations via Flow Matching Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning Lever: Speculative LLM Inference on Smartphones The Unlearnability Phenomenon in RLVR for Language Models TIER: Trajectory-Invariant Execution Rewards for Multi-Step Tool Composition PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Cross-Domain Molecular Relational Learning: Leveraging Chemical Structure-Activity Analysis FIM-LoRA: Task-Informative Rank Allocation for LoRA via Calibration-Time Gradient-Variance Estimation Cross-modal Affinity-aligned Multimodal Learning Analytics for Predicting Student Collaboration Satisfaction in Game-Based Learning Informative Graph Structure Learning Jacobian-Guided Anisotropic Noise Reshaping for Enhancing Representation Utility under Local Differential Privacy Atoms as Language: VQ-Atom: Semantic Discretization for Molecular Representation Learning Confidence Geometry Reveals Trace-Level Correctness in Large Language Model Reasoning Decoupling KL and Trajectories: A Unified Perspective for SFT, DAgger, Offline RL, and OPD in LLM Distillation PhysioSeq2Seq: A Hybrid Physiological Digital Twin and Sequence-to-Sequence LSTM for Long-Horizon Glucose Forecasting in Type 1 Diabetes SE-GA: Memory-Augmented Self-Evolution for GUI Agents Tensor Channel Equivariant Graph Neural Networks for Molecular Polarizability Prediction ArtifactLinker: Linking Scientific Artifacts for Automatic State-of-the-Art Discovery AIM: Adversarial Information Masking for Faithfulness Evaluation of Saliency Maps Emulating the Forced Response of Climate Models with Flow Matching Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons Decision-Aware Proximal Bridge Learning for Optimal Treatment Selection Ranking-Aware Calibration for Reliable Multimodal Reinforcement Learning BoLT: A Benchmark to Democratize Black-box Optimization Research for Expensive LLM Tasks Learning-Zone Energy: Online Data Selection for Efficient RL Post-Training When Dynamics Shift, Robust Task Inference Wins: Offline Imitation Learning with Behavior Foundation Models Revisited Why Do Reasoning Models Lose Coverage? The Role of Data and Forks in the Road Privacy Policy Enforcement Guardrails for Data-Sensitive Retrieval-Augmented Generation D$^2$Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning Privacy-Preserving Generation Fraud Detection for Distributed Photovoltaic Systems: A Solar Irradiance-Fused Federated Learning Framework 1GC-7RC: One Graphic Card -- Seven Research Challenges! How Good Are AI Agents at Doing Your Job? Learning Multi-Timescale Abstractions for Hierarchical Combinatorial Planning S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination Scale Determines Whether Language Models Organize Representation Geometry for Prediction Mechanism Learning: Prototype-Anchored Mechanism Inference for Scientific Forecasting Parallel Recursive LSTM DynMuon: A Dynamic Spectral Shaping View of Muon Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning An Analytical Multiple Criteria Framework for Temporal and Dynamic Business-to-Business Customer Segmentation in Manufacturing Stress-Testing Neural Network Verifiers with Provably Robust Instances When Bits Break Recourse: Counterfactual-Faithful Quantization TriAxialKV: Toward Extreme Low-Precision KV-Cache Quantization for Agentic Inference Tasks OpenJarvis: Personal AI, On Personal Devices The Geometry of Projection Heads: Conditioning, Invariance, and Collapse OPTNet: Ordering Point Transformer Network for Post-disaster 3D Semantic Segmentation Anytime and Difficulty-Adaptive PAC-Bayes for Constrained Density-Ratio Network with Continual Learning Guarantees FishBack: Pullback Fisher Geometry for Optimal Activation Steering in Transformers Dimension-Free Convergence of Discrete Diffusion Models: Adjoint Equations Induce the Right Space Active Budget Allocation for Efficient Scaling Law Estimation via Surrogate-Guided Pruning Learning in Position-Aware Multinomial Logit Bandits: From Multiplicative to General Position Effects Drift Flow Matching Fidelity Probes for Specification--Code Alignment Towards Principled Test-Time Adaptation for Time Series Forecasting When Molecular Similarity Works: Property Cliffs Reveal Hidden Errors Calibeating for general proper losses: A Bregman divergence approach State-of-the-Art Claims Require State-of-the-Art Evidence How Do Electrocardiogram Models Scale? UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models LEAP: Learnable End-to-End Adaptive Pruning of Large Language Models Step-wise Rubric Rewards for LLM Reasoning DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Compress the Context, Keep the Commitments: A Formal Framework for Verifiable LLM Context Compression Learning Higher-Order Structure from Incomplete Spatiotemporal Data: Multi-Scale Hypergraph Laplacians with Neural Refinement Leveraging Error Diversity in Group Rollouts for Reinforcement Learning Bridging the Gap between Sparse Matrix Reordering and Factorization: A Deep Learning Framework for Fill-in Reduction Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density \textsc{MasFACT}: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics Self-Supervised Learning for Sparse Matrix Reordering IVF-TQ: Streaming-Robust Approximate Nearest Neighbor Search via a Codebook-Free Residual Layer Learning Displacement-Robust Representations for Landslide Early Warning under Rainfall Forecast Uncertainty Progressive Generalization Augmentation with Deeply Coupled RND-PPO and Domain-Prioritized Noise Injection for Robust Crop Management Reinforcement Learning Radial-Angular Geometry for Reliable Update Diagnosis in Noisy-Label Learning MATE: Solving Contextual Markov Decision Processes with Memory of Accumulated Transition Embeddings DP-SelFT: Differentially Private Selective Fine-Tuning for Large Language Models ClaHF: A Human Feedback-inspired Reinforcement Learning Framework for Improving Classification Tasks TriOpt: A Scalable Algorithm for Linear Causal Discovery WinQ: Accelerating Quantization-Aware Training of Language Models Around Saddle Points Beyond Linear Superposition: Discovering Climate Features in AI Weather Models with KAN-SAE Self-Supervised On-Policy Distillation for Reasoning Language Models t-gems: text-guided exit modules for decreasing clip image encoder The Silent Brush: Evaluating Artistic Style Leakage in AI Art Generation BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation Coordinate Heterogeneity Governs Binary Quantization: From InfoNCE to Recall CasualSynth: Generating Structurally Sound Synthetic Data Q-LocalAdam: Memory-Efficient Client-Side Adaptive Optimization for Edge Federated Learning PFlow-T: A Persistence-Driven Forward Process for Topology-Controlled Generation Beyond Accuracy: Robustness, Interpretability and Expressiveness of EEG Foundation Models Structured Neural Marked Point Processes for Interpretable Event Interaction Modeling How Off-Policy Can GRPO Be? Mu-GRPO for Efficient LLM Reinforcement Learning UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts Scale-Equivariant Generative Forecasting: Weight-Tied Dilated Convolutions, Wavelet Scattering Inputs, and Spectral-Consistency Training for Self-Similar Time Series Form and Function: Machine Unlearning as a Problem of Misaligned States Venom: A PyTorch Generative Modeling Toolkit The Neural Tangent Kernel for Classification Adaptive Generate-Rank-Verify: Inference-Time Search with Costly Verification Verifier-Guided Code Translation via Meta-Step Decoding TabKDE: Simple and Scalable Tabular Data Generation with Kernel Density Estimates Counterfactual Explanations Under Concept Drift LLMForge: Multi-Backend Hardware-Aware Neural Architecture Search with Infinite-Head Attention for Edge Language Models When a Zero-Shooter Cheats: Improving Age Estimation via Activation Steering Bug or Feature$^2$: Weight Drift, Activation Sparsity, and Spikes PEIRA: Learning Predictive Encoders through Inter-View Regressor Alignment Exact Convex Reformulations of Linear Neural Networks via Completely Positive Lifting Fine-tuning Pocket-Aware Diffusion Models via Denoising Policy Optimization Agent Bazaar: Enabling Economic Alignment in Multi-Agent Marketplaces Toy Combinatorial Interpretability Models Reveal Lottery Tickets in Early Feature Space L-Drive: Beyond a Single Mapping-Latent Context Drives Time Series Forecasting Testable and Actionable Calibration for Full Swap Regret OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization Memisis: Orchestrating and Evaluating Synthetic Data for Tabular Health Datasets AURORA: Contextual Orthogonalization for Geometric Representation Learning in Healthcare Foundation Models Learning Variable-Length Tokenization for Generative Recommendation Revisiting the Adam-SGD Gap in LLM Pre-Training: The Role of Large Effective Learning Rates HydroAgent: Closing the Gap Between Frontier LLMs and Human Experts in Hydrologic Model Calibration via Simulator-Grounded RL When Accuracy Is Not Enough: Uncertainty Collapse between Noisy Label Learning and Out-of-Distribution Detection GenTS: A Comprehensive Benchmark Library for Generative Time Series Models AMO: Adaptive Muon Orthogonalization A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows One Model, Two Roles: Emergent Specialization in a Shared Recurrent Transformer Content-Style Identification via Differential Independence Agentic Cost-Aware Query Planning with Knowledge Distillation for Big Data Analytics Efficient Bilevel Optimization for Meta Label Correction in Noisy Label Learning Balancing Knowledge Distillation for Imbalance Learning with Bilevel Optimization SNLP: Layer-Parallel Inference via Structured Newton Corrections Learning over Positive and Negative Edges with Contrastive Message Passing $\boldsymbol{f}$-OPD: Stabilizing Long-Horizon On-Policy Distillation with Freshness-Aware Control DAD4TS: Data-Augmentation-Oriented Diffusion Model for Time-Series Forecasting with Small-Scale Data HINT-SD: Targeted Hindsight Self-Distillation for Long-Horizon Agents Attention Sinks and Outliers in Attention Residuals CoX-MoE: Coalesced Expert Execution for High-Throughput MoE Inference with AMX-Enabled CPU-GPU Co-Execution Lightweight Gaussian Process Inference in C++ on Metal and CUDA DCFold: Efficient Protein Structure Generation with Single Forward Pass Domain Transfer Becomes Identifiable via a Single Alignment InfoFlow: A Framework for Multi-Layer Transformer Analysis Training data attribution in diffusion models via mirrored unlearning and noise-consistent skew Enhancing the Code Reasoning Capabilities of LLMs via Consistency-based Reinforcement Learning Function graph transformers universally approximate operators between function spaces SAFE-SVD: Sensitivity-Aware Fidelity-Enforcing SVD for Physics Foundation Models MARR: Module-Adaptive Residual Reconstruction for Low-Bit Post-Training Quantization RL4RLA: Teaching ML to Discover Randomized Linear Algebra Algorithms Through Curriculum Design and Graph-Based Search Scalable Decision-Focused Learning through Cost-Sensitive Regression Uncertainty Reliability Under Domain Shift: An Investigation for Data-Driven Blood Pressure Estimation in Photoplethysmography LogRouter: Adaptive Two-Level LLM Routing for Log Question Answering in Big Data Systems Federated Learning by Utility-Constrained Stochastic Aggregation for Improving Rational Participation Unveiling Memorization-Generalization Coexistence: A Case Study on Arithmetic Tasks with Label Noise Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning FedSDR: Federated Self-Distillation with Rectification Protection Is (Nearly) All You Need: Structural Protection Dominates Scoring in Globally Capped KV Eviction FLAG: Foundation model representation with Latent diffusion Alignment via Graph for spatial gene expression prediction Improving Spatio-Temporal Residual Error Propagation by Mitigating Over-Squashing Equilibrium Selection in Multi-Agent Policy Gradients via Opponent-Aware Basin Entry The Expressive Power of Low Precision Softmax Transformers with (Summarized) Chain-of-Thought pyforce-1.0.0: Python Framework for data-driven model Order Reduction of multi-physiCs problEms Foundation Models for Credit Risk Prediction: A Game Changer? Elastic-dLLM: Position Preserving Context Compression and Augmentation of Diffusion LLMs Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method UTOPYA: A Multimodal Deep Learning Framework for Physics-Informed Anomaly Detection and Time-Series Prediction Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network Concise and Logically Consistent Conformal Sets for Neuro-Symbolic Concept-Based Models A Simplex Witness Certificate for Constant Collapse in Variational Autoencoders Are Sparse Autoencoder Benchmarks Reliable? Attacking the First-Principle: A Black-Box, Query-Free Targeted Mimicry Attack on Binary Function Classifiers Privacy Preserving Reinforcement Learning with One-Sided Feedback Temporal Task Diversity: Inductive Biases Under Non-Stationarity in Synthetic Sequence Modelling PH-Dreamer: A Physics-Driven World Model via Port-Hamiltonian Generative Dynamics Alignment Dynamics in LLM Fine-Tuning Dynamic Elliptical Graph Factor Models via Riemannian Optimization with Geodesic Temporal Regularization The Symmetries of Three-Layer ReLU Networks ISEP: Implicit Support Expansion for Offline Reinforcement Learning via Stochastic Policy Optimization Prune, Update and Trim: Robust Structured Pruning for Large Language Models Decoupled Conformal Optimisation: Efficient Prediction Sets via Independent Tuning and Calibration Proximal basin hopping: global optimization with guarantees Beyond Inference-Time Search: Reinforcement Learning Synthesizes Reusable Solvers Beyond Square Roots: Explicit Memory-Efficient Factorization for Multi-Epoch Private Learning Generating Physically Consistent Molecules with Energy-Based Models TabH2O: A Unified Foundation Model for Tabular Prediction Graph Hierarchical Recurrence for Long-Range Generalization Spherical Harmonic Optimal Transport: Application to Climate Models Comparisons Generative Adversarial Learning from Deterministic Processes Text2CAD-Bench: A Benchmark for LLM-based Text-to-Parametric CAD Generation Heterogeneous Tasks Offloading in Vehicular Edge Computing: A Federated Meta Deep Reinforcement Learning Approach Modelling Customer Trajectories with Reinforcement Learning for Practical Retail Insights Scheduling That Speaks: An Interpretable Programmatic Reinforcement Learning Framework Adaptive Experimentation for Censored Survival Outcomes GAMMA: Global Bit Allocation for Mixed-Precision Models under Arbitrary Budgets Modality vs. Morphology: A Framework for Time Series Classification for Biological Signals DBES: A Systematic Benchmark and Metric Suite for Evaluating Expert Specialization in Large-Scale MoEs DiPRL: Learning Discrete Programmatic Policies via Architecture Entropy Regularization Offline Contextual Bandits in the Presence of New Actions XCTFormer: Leveraging Cross-Channel and Cross-Time Dependencies for Enhanced Time-Series Analysis Beyond Scaling: Agents Are Heading to the Edge Probing for Representation Manifolds in Superposition Protein Fold Classification at Scale: Benchmarking and Pretraining Federated Martingale Posterior Samping Self-supervised local learning rules learn the hidden hierarchical structure of high-dimensional data scHelix: Asymmetric Dual-Stream Integration via Explicit Gene-Level Disentanglement S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs Randomized Advantage Transformation (RAT): Computing Natural Policy Gradients via Direct Backpropagation AMARIS: A Memory-Augmented Rubric Improvement System for Rubric-Based Reinforcement Learning Pointwise Generalization in Deep Neural Networks Physics-Aligned Canonical Equivariant Fourier Neural Operator under Symmetry-Induced Shifts Perfect Parallelization in Mini-Batch SGD with Classical Momentum Acceleration Stochastic Penalty-Barrier Methods for Constrained Machine Learning Aligned Training: A Parameter-Free Method to Improve Feature Quality and Stability of Sparse Autoencoders (SAE) Position: Weight Space Should Be a First-Class Generative AI Modality Data Presentation Over Architecture: Resampling Strategies for Credit Risk Prediction with Tabular Foundation Models Post-Trained MoE Can Skip Half Experts via Self-Distillation An Assessment of Human vs. Model Uncertainty in Soft-Label Learning and Calibration Pocket Foundation Models: Distilling TFMs into CPU-Ready Gradient-Boosted Trees KairosHope: A Next-Generation Time-Series Foundation Model for Specialized Classification via Dual-Memory Architecture Efficient and Noise-Tolerant PAC Learning of Multiclass Linear Classifiers A No-Defense Defense Against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More? COOPO: Cyclic Offline-Online Policy Optimization Algorithm Ensembling Tabular Foundation Models - A Diversity Ceiling And A Calibration Trap Learning Normal Representations for Blood Biomarkers Distilling Tabular Foundation Models for Structured Health Data General Preference Reinforcement Learning CPMobius: Iterative Coach-Player Reasoning for Data-Free Reinforcement Learning Quantitative Linear Logic for Neuro-Symbolic Learning and Verification Patchwork: A compact representation for 3D polygonal shapes Helping Customers in Distress: An LLM-powered Agent that Converses, Probes, and Routes MCQ Difficulty Prediction via Modeling Learner Heterogeneity Using Data-Driven Cognitive Profiling MANTA: Multi-turn Assessment for Nonhuman Thinking & Alignment ANNEAL: Adapting LLM Agents via Governed Symbolic Patch Learning A Machine Learning Framework for EEG-Based Prediction of Treatment Efficacy in Chronic Neck Pain A Production-Ready RL Framework for Personalized Utility Tuning with Pareto Sweeping in Pinterest Recommender Systems LARGER: Lexically Anchored Repository Graph Exploration and Retrieval SwordBench: Evaluating Orthogonality of Steering Image Representations Cross-Source Supervision for Bone Infection Segmentation in Dual-Modality PET-CT Kelvin v1.0: A Neural Pre-Encoder for H.264: A standards-compliant learned preprocessor with -27.62% BD-VMAF on UVG CheckSupport: A Local LLM-Powered Tool for Automated Manuscript Submission Checklist Selection and Completion Inducing Spatial Locality in Vision Transformers through the Training Protocol Overcoming the Intrinsic Performance Limitations of MEMS IMU via Diffusion-Based Generative Learning Bridging the Modality Bottleneck in Pathology MIL through Virtual Molecular Staining OrbiSim: World Models as Differentiable Physics Engines for Embodied Intelligence Beyond MMSE: Enhancing PnP Restoration with ProxiMAP Stable and Near-Reversible Diffusion ODE Solvers for Image Editing CADS: Conformal Adaptive Decision System for Cost-Efficient Image Classification Multilingual OCR-Aware Fine-Tuning and Prompt-Guided Chain-of-Thought Reasoning for Multimodal Large Language Models Reducing Hallucination in Vision-Language Models via Stage-wise Preference Optimization under Distribution Shift Diffusion Models, Denoiser Architecture and Creativity Video Reconstruction using Diffusion-based Image-to-Video Generation with Trajectory Guidance Hierarchical Two-Stage Framework for Environment-Aware Long-Horizon Vessel Trajectory Prediction Mechanistically Interpretable Neural Encoding Reveals Fine-Grained Functional Selectivity in Human Visual Cortex Dimension-Uniform Discretization Analysis of Preconditioned Annealed Langevin Dynamics for Multimodal Gaussian Mixtures Deep Learning for MRI Slice Interpolation: The Critical Role of Problem Formulation StAD: Stein Amortized Divergence for Fast Likelihoods with Diffusion and Flow SeamCam: Quantifying Seamless Camouflage via Multi-Cue Visual Detectability Attention-Aware Transformer-Based Aggregation Network for Video Periocular Recognition Isotonic Survival Regression: Calibrated Survival Distributions from Deep Cox Models Voice ''Cloning'' is Style Transfer Attend Locally, Remember Linearly: Linear Attention as Cross-Frame Memory for Autoregressive Video Diffusion fPINN-DeepONet: A Physics-Informed Operator Learning Framework for Multi-term Time-fractional Mixed Diffusion-wave Equations The Score Kalman Filter Statistical Unlearning of Distributions: A Hypothesis Testing Approach Public-Decay Homomorphic State Space Models for Private Sequence Inference Right Predictions, Misleading Explanations: On the Vulnerability of Vision-Language Model Explanations Sustainable Intelligence for the Wild: Democratizing Ecological Monitoring via Knowledge-Adaptive Edge Expert Agents Multi-Object Tracking Consistently Improves Wildlife Inference On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT Compositional Adversarial Training for Robust Visual Watermarking DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers Transformer-Based MCS Prediction for 5G Multicast-Broadcast Services (MBS) State Contamination in Memory-Augmented LLM Agents Genflow Ad Studio: A Compound AI Architecture for Brand-Aligned, Self-Correcting Video Generation VolTA-3D: Self-Supervised Learning for Brain MRI using 3D Volumetric Token Alignment Universal Graph Backdoor Defense: A Feature-based Homophily Perspective AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents Prediction-Intervention Games and Invariant Sets Learning Relative Representations for Fine-Grained Multimodal Alignment with Limited Data HYVINT: Intensity-Driven Hypergraph Generation with Variational Representations Thinking with Patterns: Breaking the Perceptual Bottleneck in Visual Planning via Pattern Induction Plan First, Diffuse Later: Extrinsic Graph Guidance for Long-Horizon Diffusion Planning Mind the Gap: Learning Modality-Agnostic Representations with a Cross-Modality UNet A Fourier perspective on the learning dynamics of neural networks: from sample complexities to mechanistic insights CAST: Causal Anchored Simplex Transport for Distribution-Valued Time Series SHED: Style-Homogenized Embedding Alignment for Domain Generalization Adversarial Fragility and Language Vulnerability in Clinical AI: A Systematic Audit of Diagnostic Collapse Under Imperceptible Perturbations and Cross-Lingual Drift in Low-Resource Healthcare Settings $\mathcal{O}(n)$ alternative to Quantum Fourier Transform with efficient neural net classical post-processing Topo-GS: Continuous Volumetric Embedding of High-Dimensional Data via Topological Gaussian Splatting Reliability and Effectiveness of Autonomous AI Agents in Supply Chain Management Empirical evaluation of Time Series Foundation Models for Day-ahead and Imbalance Electricity Price Forecasting in Belgium The Range Shrinks, the Threat Remains: Re-evaluating LLM Package Hallucinations on the 2026 Frontier-Model Cohort Taming Audio VAEs via Target-KL Regularization Visual Timelines of Police Encounters in Body-Worn Camera Footage: Operational Context and Activity Cataloging for Training and Analysis in OpenBWC HyDRA: Hybrid Dynamic Routing Architecture for Heterogeneous LLM Pools Diffusion-Based Stochastic Operator Networks for Uncertainty Quantification in Stochastic Partial Differential Equations Capturing LLM Capabilities via Evidence-Calibrated Query Clustering Principal Component Analysis for Lunar Crater Detection Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness and Safety A Systematic Survey on Deep Learning Architectures for Point Cloud Classification and Segmentation Contrastive Conceptor Activation Steering (COAST): Unlocking Vision-Language-Action Models through Hidden States Weighted Flow Matching and Physics-Informed Nonlinear Filtering for Parameter Estimation in Digital Twins Evolutionary Extreme Learning Machine of ab-initio Energy Landscapes for Crystal Structure Prediction using Manta Ray Optimization with Levy Flight Sparse Mamba Decoder for Quantum Error Correction: Efficient Defect-Centric Processing of Surface Code Syndromes From Imitation to Interaction: Mastering Game of Schnapsen with Shallow Reinforcement Learning Charon: A Unified and Fine-Grained Simulator for Large-Scale LLM Training and Inference Factorized Latent Dynamics for Video JEPA: An Empirical Study of Auxiliary Objectives Why Do Safety Guardrails Degrade Across Languages? High-dimensional Limit of SGD for Diagonal Linear Networks Sample efficient inductive matrix completion with noise and inexact side information Filter-then-Verify: A Multiphase GNN and ModernBERT Framework for Social Engineering Detection in Email Networks Toward Near-Real-Time Marine Oil Spill Detection in SAR Imagery using Quantum-Assisted SVM Integration of AI in Cybersecurity: Current Trends with a Focused Look at Intrusion Detection Applications Maximum Likelihood Decoding of Quantum Error Correction Codes An Efficient Machine Learning-based Framework for Detection and Prevention of Frauds in Telecom Networks Iterative Chow Filtering for Learning with Distribution Shift Latency-Aware Deep Learning Benchmark for Real-Time Cyber-Physical Attack and Fault Classification in Inverter-Dominated Power Grids Scalable Bi-causal Optimal Transport via KL Relaxation and Policy Gradients A Hybrid Gaussian Process Regression Framework for Stable Volatility-Covariance Estimation: Evidence from Global Equity Indices A2RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark Generation FEG-Pro: Forecast-Error Growth Profiling for Finite-Horizon Instability Analysis of Nonlinear Time Series CLAP: Contrastive Latent-space Prompt Optimization for End-to-end Autonomous Driving Deep Reinforcement Learning Framework for Diversified Portfolio Management Across Global Equity Markets Weak-to-Strong Elicitation via Mismatched Wrong Drafts Causal Anomaly Detection for Lithium-Ion Battery Degradation Position: Age Estimation Models Do Not Process Biometric Data ADR: An Agentic Detection System for Enterprise Agentic AI Security NOETHER: A Constructive Framework for Metamorphic Pattern Discovery from Operator Algebras Heterogeneous Information-Bottleneck Coordination Graphs for Multi-Agent Reinforcement Learning MiniGPT: Rebuilding GPT from First Principles Human-Flow Digital Twin for Predicting the Effects of Mobility Introduction on Visitor Circulation A semantic mutation metric for metamorphic relation adequacy in scientific computing programs Residual Semantic Decomposition of Word Embeddings DyGRO-VLA: Cross-Task Scaling of Vision-Language-Action Models via Dynamic Grouped Residual Optimization Few-Shot Network Intrusion Detection Using Online Triplet Mining Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling Evaluating Deep Research Agents on Expert Consulting Work: A Benchmark with Verifiers, Rubrics, and Cognitive Traps Stable Routing for Mixture-of-Experts in Class-Incremental Learning Topological Data Analysis combined with Machine Learning for Predicting Permeability of Porous Media AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment Longwang: Zero-Shot Global Spatiotemporal Precipitation Downscaling with a Latent Generative Prior A Feature-Driven Framework for Software Fault Prediction VeriCache: Turning Lossy KV Cache into Lossless LLM Inference SynVA: A Modular Toolkit for Vessel Generation and Aneurysm Editing Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning ML-based Fast Simulation of FARICH Responses Training Infinitely Deep and Wide Transformers On Gaussian approximation for entropy-regularized Q-learning with function approximation Online Conformal Prediction for Non-Exchangeable Panel Data How does feature learning reshape the function space? Sequential Structure in Intraday Futures Data: LSTM vs Gradient Boosting on MNQ Domain Incremental Learning for Pandemic-Resilient Chest X-Ray Analysis Divergence-Suppressing Couplings for Rectified Flow StatQAT: Statistical Quantizer Optimization for Deep Networks MV-Gate: Insider Threat Detection via Multi-View Behavioral Statistics and Semantic Modeling Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models Uncertainty-Calibrated Recommendations for Low-Active Users Is Complex Training Necessary for Long-Tailed OOD Detection? A Re-think from Feature Geometry Generating Pretraining Tokens from Organic Data for Data-Bound Scaling Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures Multi-site PPG: An In-the-Wild Physiological Dataset from Emerging Multi-site Wearables Guard: Scalable Straggler Detection and Node Health Management for Large-Scale Training Long-horizon prediction of three-dimensional wall-bounded turbulence with CTA-Swin-UNet and resolvent analysis AdaptiveLoad: Towards Efficient Video Diffusion Transformer Training Transfer Learning for Customized Car Racing Environments Universal Adversarial Triggers SVFSearch: A Multimodal Knowledge-Intensive Benchmark for Short-Video Frame Search in the Gaming Vertical Domain A More Word-like Image Tokenization for MLLMs SAS: Semantic-aware Sampling for Generative Dataset Distillation Real-time Multi-instrument Autonomous Discovery of Novel Phase-change Memory Materials New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions A note on connections between the F\"ollmer process and the denoising diffusion probabilistic model The MixCount Dataset: Bridging the Data Gap for Open-Vocabulary Object Counting Wasserstein bounds for denoising diffusion probabilistic models via the F\"ollmer process LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers Buffer-Parameterized Machine Learning Surrogate Models for Cross-Technology Signal Integrity Analysis and Optimization Canonical Regularisation of Wide Feature-Learning Neural Networks Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster SIREM: Speech-Informed MRI Reconstruction with Learned Sampling A Unified Framework for Structured Flow Modeling: From Continuous Fields to Data-Driven Representations Subject-Specific Analysis of Self-Initiated Attention Shifts from EEG with Controlled Internal and External Attention Conditions From Volume to Value: Preference-Aligned Memory Construction for On-Device RAG Geometric Dictionary Learning of Dynamical Systems with Optimal Transport DARE-EEG: A Foundation Model for Mining Dual-Aligned Representation of EEG Improved Baselines with Representation Autoencoders Lost in the Folds: When Cross-Validation Is Not a Deep Ensemble for Uncertainty Estimation QLIF-CAST: Quantum Leaky-Integrate-and-Fire for Time-Series Weather Forecasting Robust Player-Conditional Champion Ranking for League of Legends: Style Similarity, Mastery Priors, and Archetype-Constrained Discovery Hybrid Quantum-Classical Neural Architecture Search On Stability and Decomposition of Sample Quantiles under Heavy-Tailed Distributions Dynamic robotic cloth folding with efficient Koopman operator-based model predictive control EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective Generalized Functional ANOVA in Closed-Form: A Unified View of Additive Explanations What is Holding Back Latent Visual Reasoning? When Fireflies Cluster; Enhancing Automatic Clustering via Centroid-Guided Firefly Optimization Shallow ReLU$^s$ Networks in $L^p$-Type and Sobolev Spaces: Approximation and Path-Norm Controlled Generalization Flowing with Confidence Prompt2Fingerprint: Plug-and-Play LLM Fingerprinting via Text-to-Weight Generation AI4BayesCode: From Natural Language Descriptions to Validated Modular Stateful Bayesian Samplers Beyond Morphology: Quantifying the Diagnostic Power of Color Features in Cancer Classification Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise Continuous Diffusion Scales Competitively with Discrete Diffusion for Language Estimating Item Difficulty with Large Language Models as Experts GUT-IS: A Data-Driven Approach to Integrating Constructs and Their Relations in Information Systems When Outcome Looks Right But Discipline Fails: Trace-Based Evaluation Under Hidden Competitor State PACE: Geometry-Aware Bridge Transport for Single-Cell Trajectory Inference Forecasting Downstream Performance of LLMs With Proxy Metrics CATA: Continual Machine Unlearning via Conflict-Averse Task Arithmetic An Approximation Algorithm for Graph Label Selection Learning to Look Benign: Targeted Evasion of Malware Detectors via API Import Injection Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning GIM: Evaluating models via tasks that integrate multiple cognitive domains Better Together: Evaluating the Complementarity of Earth Embedding Models Learning Quantifiable Visual Explanations Without Ground-Truth Can machine learning for quantum-gas experiments be explainable? Can Adaptive Gradient Methods Converge under Heavy-Tailed Noise? A Case Study of AdaGrad EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL Learned Memory Attenuation in Sage-Husa Kalman Filters for Robust UAV State Estimation Predictable Confabulations: Factual Recall by LLMs Scales with Model Size and Topic Frequency PIXLRelight: Controllable Relighting via Intrinsic Conditioning Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation SURGE: Approximation-free Training Free Particle Filter for Diffusion Surrogate ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop A Readiness-Driven Runtime for Pipeline-Parallel Training under Runtime Variability DashAttention: Differentiable and Adaptive Sparse Hierarchical Attention Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping Corruptions of Supervised Learning Problems: Typology and Mitigations Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach Achieving Linear Speedup with ProxSkip in Distributed Stochastic Optimization Universal Time-Series Representation Learning: A Survey Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization DyDiff: Long-Horizon Rollout via Dynamics Diffusion for Offline Reinforcement Learning Decouple then Converge: Handling Unknown Unlabeled Distributions in Long-Tailed Semi-Supervised Learning $\texttt{SynC}$: Synergistic Boosting of Structure and Representation for Deep Graph Clustering Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement GUIDE-VAE: Advancing Data Generation with User Information and Pattern Dictionaries Time-Efficient Hybrid Hyperparameter Tuning Approach for Cardiovascular Disease Classification Neural equilibria for long-term prediction of nonlinear conservation laws Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation Representational Alignment with Chemical Induced Fit for Molecular Relational Learning Uncertainty Quantification as a Principled Foundation for Explainable Artificial Intelligence: A Case Study of Counterfactual Explanations CayleyPy RL: Pathfinding and Reinforcement Learning on Cayley Graphs LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion Catastrophic Overfitting, Entropy Gap and Participation Ratio: A Noiseless $l^p$ Norm Solution for Fast Adversarial Training Mirror Mean-Field Langevin Dynamics Transformers for Learning on Noisy and Task-Level Manifolds: Approximation and Generalization Insights Improving Random Forests by Smoothing FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting RAP: Runtime Adaptive Pruning for LLM Inference Learning to Reason without External Rewards Fine-grained List-wise Alignment for Generative Medication Recommendation SIPO: Stabilized and Improved Preference Optimization for Aligning Diffusion Models Weisfeiler and Leman Follow the Arrow of Time: Expressive Power of Message Passing in Temporal Event Graphs Beyond RLHF: A Unified Theoretical Framework of Alignment Scalable unsupervised feature selection via weight stability Algebraic Priors for Approximately Equivariant Networks HSG-12M: A Large-Scale Benchmark of Spatial Multigraphs from the Energy Spectra of Non-Hermitian Crystals Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods Memory-Efficient Differentially Private Training with Gradient Random Projection Missing-Modality-Aware Graph Neural Network for Cancer Classification HDTree: Generative Modeling of Cellular Hierarchies for Robust Lineage Inference LLM Agents Are the Antidote to Walled Gardens Stein Diffusion Guidance: Training-Free Posterior Correction for Sampling Beyond High-Density Regions Perovskite-R1: a domain-specialized large language model for intelligent discovery of precursor additives and experimental design JSON-Bag: A generic game trajectory representation Provable Knowledge Acquisition and Extraction in One-Layer Transformers Graph Embedding in the Graph Fractional Fourier Transform Domain Symbolic Quantile Regression for the Interpretable Prediction of Conditional Quantiles Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraints CoUn: Empowering Machine Unlearning via Contrastive Learning Machine Learnability as a Measure of Order in Aperiodic Sequences Improving MLLM Training Efficiency via Stage-Aware Sparsity ZeroSiam: An Efficient Asymmetry for Test-Time Entropy Optimization without Collapse Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity Density-Ratio Weighted Behavioral Cloning: Learning Control Policies from Corrupted Datasets Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning Learning more physically realistic dynamics in machine-learning based weather forecasting with latent-space constraints Activation Steering with a Feedback Controller Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking Truthful Calibration Errors for Multi-Class Prediction Adversarial Attacks on Downstream Weather Forecasting Models: Application to Tropical Cyclone Trajectory Prediction Preconditioned Norms: A Unified Framework for Steepest Descent, Quasi-Newton and Adaptive Methods AMORE: Adaptive Multi-Output Operator Network for Stiff Chemical Kinetics NeuroRVQ: Multi-Scale Biosignal Tokenization for Generative Foundation Models WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale Prior Knowledge Makes It Possible: From Sublinear Graph Algorithms to LLM Test-Time Methods Needles in the Landscape: Semi-Supervised Pseudolabeling for Archaeological Site Discovery under Label Scarcity Interpretable epistemic uncertainty decomposition in sequential generative models via polynomial chaos surrogates Spatially Aware Linear Transformer (SAL-T) for Particle Jet Tagging Deep sequence models tend to memorize geometrically; it is unclear why Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization Towards Migrating Neural Network Implementations From Static Constraints to Dynamic Adaptation: Sample-Level Constraint Relaxation for Offline-to-Online Reinforcement Learning Enabling Off-Policy Imitation Learning with Deep Actor Critic Stabilization Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis Convergence of Multiagent Learning Systems for Traffic control A Systematic Analysis of Out-of-Distribution Detection Under Representation and Training Paradigm Shifts MSTN: A Lightweight and Fast Model for General TimeSeries Analysis Gated KalmaNet: A Fading Memory Layer Through Test-Time Ridge Regression EvilGenie: A Reward Hacking Benchmark BlendedNet++: A dataset and benchmark for field-resolved aerodynamics and inverse design of blended wing body aircraft Goal inference with Rao-Blackwellized Particle Filters On the Accuracy of Newton Step and Influence Function Data Attributions Learning under Distributional Drift: Prequential Reproducibility as an Intrinsic Statistical Resource Constrained Policy Optimization via Sampling-Based Weight-Space Projection The Bayesian Geometry of Transformer Attention FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment for Edge Computing Geometric Scaling of Bayesian Inference in LLMs Assured autonomy: How operations research powers and orchestrates generative AI systems Learning from Historical Activations in Graph Neural Networks The Illusion of Specialization: Unveiling the Domain-Invariant "Standing Committee" in Mixture-of-Experts Models Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution DeMa: Dual-Path Delay-Aware Mamba for Efficient Multivariate Time Series Analysis Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models KASER: Knowledge-Aligned Student Error Simulator for Open-Ended Coding Tasks Beyond the Next Port: A Multi-Task Transformer for Forecasting Future Voyage Segment Durations Parallelizable memory recurrent units Distributed Perceptron under Bounded Staleness, Partial Participation, and Noisy Communication DevBench: A Realistic, Developer-Informed Benchmark for Code Generation Models PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning Beyond Superficial Unlearning: Sharpness-Aware Robust Erasure of Hallucinations in Multimodal LLMs Theory of Minimal Weight Perturbations in Deep Networks and its Applications for Low-Rank Activated Backdoor Attacks Queue Length Regret Bounds for Contextual Queueing Bandits Tracking Drift: Variation-Aware Entropy Scheduling for Non-Stationary Reinforcement Learning The Powers of Precision: Structure-Informed Detection in Complex Systems -- From Customer Churn to Seizure Onset Factored Causal Representation Learning for Robust Reward Modeling in RLHF Beyond Objective-Based Improvement: Stationarity-Aware Expected Improvement for Bayesian Optimization Transformation-Augmented GRPO for Enhancing Exploration in Reasoning of Large Language Models Full-Graph vs. Mini-Batch Training: Comprehensive Analysis from a Batch Size and Fan-Out Size Perspective On Safer Reinforcement Learning for Sedation and Analgesia in Intensive Care LaDi-RL: Latent Diffusion Reasoning Prevents Entropy Collapse in Reinforcement Learning SC3D: Dynamic and Differentiable Causal Discovery for Temporal and Instantaneous Graphs Sparse Training of Neural Networks based on Multilevel Mirror Descent Manifold Random Features Where Does Warm-Up Come From? Adaptive Scheduling for Norm-Constrained Optimizers Diamond Maps: Efficient Reward Alignment via Stochastic Flow Maps NanoQuant: Efficient Sub-1-Bit Quantization of Large Language Models T-STAR: A Context-Aware Transformer Framework for Short-Term Probabilistic Demand Forecasting in Dock-Based Shared Micro-Mobility Analyzing and Guiding Zero-Shot Posterior Sampling in Diffusion Models The Laplacian Keyboard: Beyond the Linear Span GRAFT: Decoupling Ranking and Calibration for Survival Analysis Spherical Steering: Geometry-Aware Activation Rotation for Language Models Meltdown: Circuits and Bifurcations in Point-Cloud-Conditioned 3D Diffusion Transformers Trust the uncertain teacher: distilling dark knowledge via calibrated uncertainty SWING: Unlocking Implicit Graph Representations for Graph Random Features Joint Enhancement and Classification using Coupled Diffusion Models of Signals and Logits Synthesis and Verification of Transformer Programs (Technical Report) Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization CodeScaler: Scaling Code LLM Training and Test-Time Inference via Reward Models Parameter-Efficient Domain Adaptation of Physics-Informed Self-Attention based GNNs for AC Power Flow Prediction GIST: Targeted Data Selection for Instruction Tuning via Coupled Optimization Geometry The Diffusion Duality, Chapter II: $\Psi$-Samplers Proximal-IMH: Proximal Posterior Proposals for Independent Metropolis-Hastings with Approximate Operators Flowette: Flow Matching with Graphette Priors for Graph Generation Time Series Foundation Models as Strong Baselines in Transportation Forecasting: A Large-Scale Benchmark Analysis Forgetting is Competition: Rethinking Unlearning as Representation Interference in Diffusion Models Self-Play Only Evolves When Self-Synthetic Pipeline Ensures Learnable Information Gain Geometry-Aware Attention Guidance for Diffusion Models via Modern Hopfield Dynamics Online Learnability of Chain-of-Thought Verifiers: Soundness and Completeness Trade-offs DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware Minimization Reasoning as Compression: Unifying Budget Forcing via the Conditional Information Bottleneck Spherical VAE with Cluster-Aware Feasible Regions: Guaranteed Prevention of Posterior Collapse ARROW: Augmented Replay for RObust World models Automatic Generation of High-Performance RL Environments Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs STAG-CN: Spatio-Temporal Apiary Graph Convolutional Network for Disease Onset Prediction in Beehive Sensor Networks Identifying Latent Actions and Dynamics from Offline Data via Demonstrator Diversity Off-Policy Learning with Limited Supply Best-of-Both-Worlds Multi-Dueling Bandits: Unified Algorithms for Stochastic and Adversarial Preferences under Condorcet and Borda Objectives Adaptive Layerwise Perturbation: Unifying Off-Policy Corrections for LLM RL Incentive-Aware Federated Averaging with Performance Guarantees under Strategic Participation AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization How Class Ontology and Data Scale Affect Audio Transfer Learning A Survey of On-Policy Distillation for Large Language Models Neural-network methods for two-dimensional finite-source reflector design Re-analysis of the Human Transcription Factor Atlas Recovers TF-Specific Signatures from Pooled Single-Cell Screens with Missing Controls ClawArena: Benchmarking AI Agents in Evolving Information Environments Graph Neural ODE Digital Twins for Control-Oriented Reactor Thermal-Hydraulic Forecasting Under Partial Observability DSPR: Dual-Stream Physics-Residual Networks for Trustworthy Industrial Time Series Forecasting A Mathematical Framework for Temporal Modeling and Counterfactual Policy Simulation of Student Dropout ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion Black-Box Optimization From Small Offline Datasets via Meta Learning with Synthetic Tasks Zero-Shot Scalable Resilience in UAV Swarms: A Decentralized Imitation Learning Framework with Physics-Informed Graph Interactions DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy TwinTrack: Post-hoc Multi-Rater Calibration for Medical Image Segmentation (Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models Discrete Tilt Matching Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training Characterizing Paraphrase-Induced Failures in Lean 4 Autoformalization Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks Investigation into In-Context Learning Capabilities of Transformers Super-resolution Multi-signal Direction-of-Arrival Estimation by Hankel-structured Sensing and Decomposition Dynamic Adversarial Fine-Tuning Reorganizes Refusal Geometry Kernelized Advantage Estimation: From Nonparametric Statistics to LLM Reasoning Learning from Disagreement: Clinician Overrides as Implicit Preference Signals for Clinical AI in Value-Based Care Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback Pessimism-Free Offline Learning in General-Sum Games via KL Regularization Robust Linear Dueling Bandits with Post-serving Context under Unknown Delays and Adversarial Corruptions Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution Enhancing AI-Based ECG Delineation with Deep Learning Denoising Techniques From Muscle Bursts to Motor Intent: Self-Supervised Token Modeling for Heterogeneous EMG Understanding Self-Supervised Learning via Latent Distribution Matching Multi-Dimensional Behavioral Evaluation of Agentic Stock Prediction Systems Using Large Language Model Judges with Closed-Loop Reinforcement Learning Feedback QuadraSHAP: Stable and Scalable Shapley Values for Product Games via Gauss-Legendre Quadrature Matrix-Decoupled Concentration for Autoregressive Sequences: Dimension-Free Guarantees for Sparse Long-Context Rewards MAGIQ: A Post-Quantum Multi-Agentic AI Governance System with Provable Security Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale CarCrashNet: A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation Beyond Linear Attention: Softmax Transformers Implement In-Context Reinforcement Learning FlightSense: An End-to-End MLOps Platform for Real-Time Flight Delay Prediction via Rotation-Chain Propagation Features and Agentic Conversational AI ExpThink: Experience-Guided Reinforcement Learning for Adaptive Chain-of-Thought Compression Hessian Surgery: Class-Targeted Post-Hoc Rebalancing via Hessian Spike Perturbation Transformers Can Implement Preconditioned Richardson Iteration for In-Context Gaussian Kernel Regression A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training Deterministic Decomposition of Stochastic Generative Dynamics Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement Concordia: Self-Improving Synthetic Tables for Federated LLMs When Does Non-Uniform Replay Matter in Reinforcement Learning? Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning Language Modeling with Hyperspherical Flows Efficient Adjoint Matching for Fine-tuning Diffusion Models Targeted Tests for LLM Reasoning: An Audit-Constrained Protocol MIST: Reliable Streaming Decision Trees for Online Class-Incremental Learning via McDiarmid Bound Unlocking Compositional Generalization in Continual Few-Shot Learning NOFE - Neural Operator Function Embedding Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning Split the Differences, Pool the Rest: Provably Efficient Multi-Objective Imitation Missing Old Logits in Asynchronous Agentic RL: Semantic Mismatch and Repair Methods for Off-Policy Correction Inference-Time Machine Unlearning via Gated Activation Redirection WriteSAE: Sparse Autoencoders for Recurrent State Orthrus: Memory-Efficient Parallel Token Generation via Dual-View Diffusion Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy Architecture-Aware Explanation Auditing for Industrial Visual Inspection Minimal-Intervention KV Retention via Set-Conditioned Diversity Exemplar Partitioning for Mechanistic Interpretability NodeSynth: Socially Aligned Synthetic Data for AI Evaluation An Amortized Efficiency Threshold for Comparing Neural and Heuristic Solvers in Combinatorial Optimization STS: Efficient Sparse Attention with Speculative Token Sparsity Embracing Biased Transition Matrices for Complementary-Label Learning with Many Classes Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered Going Beyond the Edge: Distributed Inference of Transformer Models on Ultra-Low-Power Wireless Devices No Free Swap: Protocol-Dependent Layer Redundancy in Transformers Mat\'ern Gaussian Processes on Graphs Cost-aware Duration Prediction for Software Upgrades in Datacenters Usenix'23 Extended Version: Smart Learning to Find Dumb Contracts Online Resource Allocation with Convex-set Machine-Learned Advice Causal Influences over Social Learning Networks The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning Lightweight CNN-Based DDoS Detection for Resource-Constrained Edge Networks Mixup Barcodes: Quantifying Geometric-Topological Interactions between Point Clouds Generalization analysis with deep ReLU networks for metric and similarity learning What is the long-run distribution of stochastic gradient descent? A large deviations analysis LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Mitigating Extrinsic Gender Bias for Bangla Classification Tasks Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation Automated Knowledge Component Generation for Interpretable Knowledge Tracing in Coding Problems TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval Long Context Modeling with Ranked Memory-Augmented Retrieval High-dimensional ridge regression with random features for non-identically distributed data with a variance profile Throughput-Optimal Scheduling Algorithms for LLM Inference and AI Agents Compass: SLO-aware Query Planner for Compound AI Serving at Scale UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities Perceptual implications of automatic anonymization in pathological speech DexWild: Dexterous Human Interactions for In-the-Wild Robot Policies InvDesFlow-AL: active learning-based workflow for inverse design of functional materials Nash: Neural Adaptive Shrinkage for Structured High-Dimensional Regression Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction Glocal Smoothness: Line search and adaptive step sizes can help in theory too! OSWorld-Human: Benchmarking the Efficiency of Computer-Use Agents CooT: Learning to Coordinate In-Context with Coordination Transformers Geometry-aware 4D Video Generation for Robot Manipulation Consistency of Learned Sparse Grid Quadrature Rules using NeuralODEs A Randomized Algorithm for Sparse PCA based on the Basic SDP Relaxation GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting CarbonScaling: Extending Neural Scaling Laws for Carbon Footprint in Large Language Models Machines Learn Number Fields, But How? The Case of Galois Groups DASH: A Meta-Attack Framework for Synthesizing Effective and Stealthy Adversarial Examples Shift Detection and Adaptation for Network Intrusion Detection Lean Meets Theoretical Computer Science: Scalable Synthesis of Theorem Proving Challenges in Formal-Informal Pairs The Loupe: A Plug-and-Play Attention Module for Amplifying Discriminative Features in Vision Transformers FedKLPR: KL-Guided Pruning-Aware Federated Learning for Person Re-Identification Lipschitz-Guided Design of Interpolation Schedules in Generative Models Ordinal Adaptive Correction: A Data-Centric Approach to Ordinal Image Classification with Noisy Labels MaskAttn-SDXL: Controllable Region-Level Text-To-Image Generation Position: AI Evaluations Should be Grounded on a Theory of Capability RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs) Parameterized Hardness of Zonotope Containment and Neural Network Verification Sparse Deep Additive Model with Interactions: Enhancing Interpretability and Predictability CoLLM-NAS: Collaborative Large Language Models for Efficient Knowledge-Guided Neural Architecture Search Prompt reinforcing for long-term planning of large language models Accelerating Inference for Multilayer Neural Networks with Quantum Computers Merlin's Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive Prompting Extracting latent representations from X-ray spectra. Classification, regression, and accretion signatures of Chandra sources WELD: The First Naturalistic Long-Period Small-Team Workplace Emotion Dataset for Ubiquitous Affective Computing ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge Beyond Neural Incompatibility: Cross-Scale Knowledge Transfer in Language Models through Latent Semantic Alignment Tongyi DeepResearch Technical Report Scales++: Compute Efficient Evaluation Subset Selection with Cognitive Scales Embeddings Good flavor search in SU(5): a machine learning approach Rethinking Generative Image Pretraining: How Far Are We From Scaling Up Next-Pixel Prediction? Sparse Autoencoders are Topic Models BioArtlas: Computational Clustering of Multi-Dimensional Complexity in Bioart Two-Dimensional Quantization for Geometry-Aware Audio Coding TPV: Parameter Perturbations Through the Lens of Test Prediction Variance Gradient Dynamics of Attention: How Cross-Entropy Sculpts Bayesian Manifolds Clipped Gradient Methods for Nonsmooth Convex Optimization under Heavy-Tailed Noise: A Refined Analysis A Critical Assessment of PINNs and Operator Learning for Geotechnical Engineering What Drives Success in Physical Planning with Joint-Embedding Predictive World Models? Meta-Learning Guided Pruning for Few-Shot Plant Pathology on Edge Devices Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking Deep Learning-Based Channel Extrapolation for Dual-Band Massive MIMO Systems Enhancing Cloud Network Resilience via a Robust LLM-Empowered Multi-Agent Reinforcement Learning Framework MirrorBench: A Benchmark to Evaluate Conversational User-Proxy Agents for Human-Likeness LURE: Latent Space Unblocking for Multi-Concept Reawakening in Diffusion Models Active learning for photonic crystals White-Box Sensitivity Auditing with Steering Vectors SynCABEL: Synthetic Contextualized Augmentation for Biomedical Entity Linking Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators ST-BCP: Tightening Coverage Bound for Backward Conformal Prediction via Non-Conformity Score Transformation Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models Adaptive Control in Autonomous Driving via Real-Time Recurrent RL Mitigating Conversational Inertia in Multi-Turn Agents Multi-layer Cross-attention is Provably Optimal for Multi-modal In-context Learning Finite-Particle Rates for Regularized Stein Variational Gradient Descent Fast Rates for Nonstationary Weighted Risk Minimization SuReNav: Superpixel Graph-based Constraint Relaxation for Navigation in Over-constrained Environments Self-Supervised Bootstrapping of Action-Predictive Embodied Reasoning AMS-HD: Hyperdimensional Computing for Real-Time and Energy-Efficient Acute Mountain Sickness Detection Beyond Accuracy: Decomposing the Reasoning Efficiency of LLMs Variational Optimality of F\"ollmer Processes in Generative Diffusions Helpful to a Fault: Measuring Illicit Assistance in Multi-Turn, Multilingual LLM Agents Could Large Language Models work as Post-hoc Explainability Tools in Credit Risk Models? Universal Pose Pretraining for Generalizable Vision-Language-Action Policies ToolMATH: A Diagnostic Benchmark for Long-Horizon Tool Use under Systematic Tool-Catalog Constraints Learning spatially adaptive sparsity level maps for arbitrary convolutional dictionaries Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving The Alien Space of Science: Sampling Coherent but Cognitively Unavailable Research Directions Unifying Contrastive and Generative Objectives for Visual Understanding and Text-to-Image Generation Interactive Benchmarks Masking Causality and Conditional Dependence RIE-Greedy: Regularization-Induced Exploration for Contextual Bandits When Marginals Match but Structure Fails: Covariance Fidelity in Generative Models Locally Coherent Parallel Decoding in Diffusion Language Models Hawkeye: Reproducing GPU-Level Non-Determinism PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning On the Expressive Power of Contextual Relations in Transformers A Comparative Study in Surgical AI: Potential and Limitations of Data, Compute, and Scaling Multi-Mode Quantum Annealing for Generative Representation Learning with Boltzmann Priors The Expert Strikes Back: Interpreting Mixture-of-Experts Language Models at Expert Level Calibration of a neural network ocean closure for improved mean state and variability Limitations of Sequence-Based Protein Representations for Parkinson's Disease Classification: A Leakage-Free Benchmark Spectral Structure in Finite Free Information Inequalities and $p$-Stam Phase Transitions SMART Fine-tuning Factor Augmented Neural Lasso CoLLM: Continuous Adaptation for SLO-Aware LLM Serving on Shared GPU Clusters Sherpa.ai Privacy-Preserving Multi-Party Entity Alignment without Intersection Disclosure for Noisy Identifiers Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection ClawGym: A Scalable Framework for Building Effective Claw Agents One-Block Transformer (1BT) for EEG-Based Cognitive Workload Assessment Anomaly-Preference Image Generation Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift Resource-Element Energy Difference for Noncoherent Over-the-Air Federated Learning UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning Predicting 3D structure by latent posterior sampling Attractor-Vascular Coupling Theory: Formal Grounding and Empirical Validation for AAMI-Standard Cuffless Blood Pressure Estimation from Smartphone Photoplethysmography MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces Causal Bias Detection in Generative Artificial Intelligence Breaking $\textit{Winner-Takes-All}$: Cooperative Policy Optimization Improves Diverse LLM Reasoning AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive The Payment Heterogeneity Index: An Integrated Unsupervised Framework for High-Volume Procurement Oversight and Decision Support A$_3$B$_2$: Adaptive Asymmetric Adapter for Alleviating Branch Bias in Vision-Language Image Classification with Few-Shot Learning KamonBench: A Grammar-Based Dataset for Evaluating Compositional Factor Recovery in Vision-Language Models KIT-TIP-NLP at MultiPride: Continual Learning with Multilingual Foundation Model Beyond Explained Variance: A Cautionary Tale of PCA Reframing preprocessing selection as model-internal calibration in near-infrared spectroscopy: A large-scale benchmark of operator-adaptive PLS and Ridge models Ready from Day 1: Population-Aware Coordination for Large-Scale Constrained Multi-Agent Systems Mistletoe: Stealthy Acceleration-Collapse Attacks on Speculative Decoding CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations Unified Simulation of Lagrangian Particle Dynamics via Transformer Imperfect World Models are Exploitable Adaptive Outer-Loop Control of Quadrotors via Reinforcement Learning Property-Guided LLM Program Synthesis for PlanningArxiv cs.AI
DeepSlide: From Artifacts to Presentation Delivery SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch Does Theory of Mind Improvement Really Benefit Human-AI Interactions? Empirical Findings from Interactive Evaluations SkillSmith: Compiling Agent Skills into Boundary-Guided Runtime Interfaces Fair outputs, Biased Internals: Causal Potency and Asymmetry of Latent Bias in LLMs for High-Stakes Decisions CAX-Agent: A Lightweight Agent Harness for Reliable APDL Automation NOVA: Fundamental Limits of Knowledge Discovery Through AI ICRL: Learning to Internalize Self-Critique with Reinforcement Learning NIMO Controller: a self-driving laboratory orchestrator based on the Model Context Protocol Verifiable Agentic Infrastructure: Proof-Derived Authorization for Sovereign AI Systems Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution SMCEvolve: Principled Scientific Discovery via Sequential Monte Carlo Evolution Context Pruning for Coding Agents via Multi-Rubric Latent Reasoning Zero-Shot Goal Recognition with Large Language Models Belief Engine: Configurable and Inspectable Stance Dynamics in Multi-Agent LLM Deliberation Ensemble Monitoring for AI Control: Diverse Signals Outweigh More Compute Beyond Partner Diversity: An Influence-Based Team Steering Framework for Zero-Shot Human-Machine Teaming From LLM-Generated Conjectures to Lean Formalizations: Automated Polynomial Inequality Proving via Sum-of-Squares Certificates X-SYNTH: Beyond Retrieval -- Enterprise Context Synthesis from Observed Human Attention CAPS: Cascaded Adaptive Pairwise Selection for Efficient Parallel Reasoning RTL-BenchMT: Dynamic Maintenance of RTL Generation Benchmark Through Agent-Assisted Analysis and Revision DRS-GUI: Dynamic Region Search for Training-Free GUI Grounding Position: Artificial Intelligence Needs Meta Intelligence -- the Case for Metacognitive AI STAR: A Stage-attributed Triage and Repair framework for RCA Agents in Microservices See Before You Code: Learning Visual Priors for Spatially Aware Educational Animation Generation TopoEvo: A Topology-Aware Self-Evolving Multi-Agent Framework for Root Cause Analysis in Microservices ColPackAgent: Agent-Skill-Guided Hard-Particle Monte Carlo Workflows for Colloidal Packing PRISM: Prompt Reliability via Iterative Simulation and Monitoring for Enterprise Conversational AI Nudging Beyond the Comfort Zone: Efficient Strategy-Guided Exploration for RLVR Can We Trust AI-Inferred User States. A Psychometric Framework for Validating the Reliability of Users States Classification by LLMs in Operational Environments ALSO: Adversarial Online Strategy Optimization for Social Agents SaaS-Bench: Can Computer-Use Agents Leverage Real-World SaaS to Solve Professional Workflows? Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design Imperfect World Models are Exploitable PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control Deterministic Event-Graph Substrates as World Models for Counterfactual Reasoning Learning Bilevel Policies over Symbolic World Models for Long-Horizon Planning Petri Net Induced Heuristic Search for Resource Constrained Scheduling ScreenSearch: Uncertainty-Aware OS Exploration Reasoners or Translators? Contamination-aware Evaluation and Neuro-Symbolic Robustness in Tax Law Sign-Separated Finite-Time Error Analysis of Q-Learning ShopGym: An Integrated Framework for Realistic Simulation and Scalable Benchmarking of E-Commerce Web Agents Property-Guided LLM Program Synthesis for Planning Look Before You Leap: Autonomous Exploration for LLM Agents An Algebraic Exposition of the Theory of Dyadic Morality Formal Methods Meet LLMs: Auditing, Monitoring, and Intervention for Compliance of Advanced AI Systems Context, Reasoning, and Hierarchy: A Cost-Performance Study of Compound LLM Agent Design in an Adversarial POMDP Confirming Correct, Missing the Rest: LLM Tutoring Agents Struggle Where Feedback Matters Most Fully Open Meditron: An Auditable Pipeline for Clinical LLMs FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast Prospective multi-pathogen disease forecasting using autonomous LLM-guided tree search Ensuring Logic in the Fog: Sound POMDP Synthesis with LTL Objectives Agent4POI: Agentic Context-Conditioned Affordance Reasoning for Multimodal Point-of-Interest Recommendation AgentStop: Terminating Local AI Agents Early to Save Energy in Consumer Devices Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels Fault tolerance estimation in digital circuits with visualised generative networks An LLM-RAG Approach for Healthy Eating Index-Informed Personalized Food Recommendations Always Learning, Always Mixing: Efficient and Simple Data Mixing All The Time Effective Harness Engineering for Algorithm Discovery with Coding Agents GenAI-Driven Approach to RISC-V Supply Chain Exploration Do Biological Structural Guarantees Earn Their Complexity? Is Agentic AI Ready for Real-World Hardware Engineering? A Deep Dive with Phoenix-bench PBT-Bench: Benchmarking AI Agents on Property-Based Testing Learning Selective Merge Policies for Deadline-Constrained Coded Caching via Deep Reinforcement Learning A3D: Agentic AI flow for autonomous Accelerator Design Hydra: Efficient, Correct Code Generation via Checkpoint-and-Rollback Support Reading the Cell, Designing the Cure: Perturbation-Conditioned Molecular Diffusion for Function-Oriented Drug Design GQLA: Group-Query Latent Attention for Hardware-Adaptive Large Language Model Decoding PDRNN: Modular Data-driven Pedestrian Dead Reckoning on Loosely Coupled Radio- and Inertial-Signalstreams Autonomous Intelligent Agents for Natural-Language-Driven Web Execution with Integrated Security Assurance Universal Approximation of Nonlinear Operators and Their Derivatives GQA-{\mu}P: The maximal parameterization update for grouped query attention GESD: Beyond Outcome-Oriented Fairness PhysBrain 1.0 Technical Report Fortress: A Case Study in Stabilizing Search Recommendations via Temporal Data Augmentation and Feature Pruning From I/O to Code with Discovery Agent HoloMotion-1 Technical Report Hidden in Memory: Sleeper Memory Poisoning in LLM Agents LEAP: Trajectory-Level Evaluation of LLMs in Iterative Scientific Design PACER: Acyclic Causal Discovery from Large-Scale Interventional Data ChangeFlow -- Latent Rectified Flow for Change Detection in Remote Sensing Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory PanoWorld: Geometry-Consistent Panoramic Video World Modeling Representation Without Reward: A JEPA Audit for LLM Fine-Tuning Breakeven complexity: A new perspective on neural partial differential equation solvers Amortized Energy-Based Bayesian Inference Diagonal Adaptive Non-local Observables on Quantum Neural Networks From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery Margin-Adaptive Confidence Ranking for Reliable LLM Judgement $f$-Trajectory Balance: A Loss Family for Tuning GFlowNets, Generative Models, and LLMs with Off- and On-Policy Data MR2-ByteTrack: CNN and Transformer-based Video Object Detection for AI-augmented Embedded Vision Sensor Nodes Runtime-Structured Task Decomposition for Agentic Coding Systems RIDE: Retinex-Informed Decoupling for Exposing Concealed Objects Differentially Private Motif-Preserving Multi-modal Hashing DrugSAGE:Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery GRLO: Towards Generalizable Reinforcement Learning in Open-Ended Environments from Zero Retrieval-Augmented Large Language Models for Schema-Constrained Clinical Information Extraction Residual Reinforcement Learning for Robot Teleoperation under Stochastic Delays Hybrid LLM-based Intelligent Framework for Robot Task Scheduling Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs Learning with Conflicts of Interest PrismQuant: Rate-Distortion-Optimal Vector Quantization for Gaussian-Mixture Sources RoPE Distinguishes Neither Positions Nor Tokens in Long Contexts, Provably DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments On the Fragility of Data Attribution When Learning Is Distributed Neural Point-Forms Process Rewards with Learned Reliability DeltaPrompts: Escaping the Zero-Delta Trap in Multimodal Distillation Tuning-free Instruction-based Video Editing Via Structural Noise Initialization and Guidance SkiP: When to Skip and When to Refine for Efficient Robot Manipulation Domain-Independent Game Abstraction using Word Embedding Techniques CTF4Nuclear: Common Task Framework for Nuclear Fission and Fusion Models Operator-Controlled 6G: From Connectivity Infrastructure to Guaranteed Digital Services AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Detecting Privilege Escalation in Polyglot Microservices via Agentic Program Analysis Embracing Biased Transition Matrices for Complementary-Label Learning with Many Classes Pretraining Objective Matters in Extreme Low-Data FGVC: A Backbone-Controlled Study Offline Reinforcement Learning with Universal Horizon Models A Few GPUs, A Whole Lotta Scale: Faithful LLM Training Emulation with PrismLLM Latent Video Prediction Learns Better World Models Sharp Spectral Thresholds for Logit Fixed Points Bridging Silicon and the Hippocampus: Algebro-Deterministic Memory "VaCoAl" as a Substrate for Vector-HaSH and TEM TFZ-Tree: An Ultra-Lightweight Waveform Classification Framework for Resource-Constrained Devices VAGS: Velocity Adaptive Guidance Scale for Image Editing and Generation VLMs Trace Without Tracking: Diagnosing Failures in Visual Path Following Interaction-Aware Influence Functions for Group Attribution ASRU: Activation Steering Meets Reinforcement Unlearning for Multimodal Large Language Models $\alpha$-TCAV: A Unified Framework for Testing with Concept Activation Vectors H-Mem: A Novel Memory Mechanism for Evolving and Retrieving Agent Memory via a Hybrid Structure Feedback World Model Enables Precise Guidance of Diffusion Policy Learning Dynamic Pick-and-Place for a Legged Manipulator Position: Early-Stage Quality Assurance in Annotation Pipelines Is More Cost-Effective Than Late-Stage Validation Bidirectional Fusion Guided by Cardiac Patterns for Semi-Supervised ECG Segmentation DiLA: Disentangled Latent Action World Models DecomPose: Disentangling Cross-Category Optimization Contention for Category-Level 6D Object Pose Estimation Structure Abstraction and Generalization in a Hippocampal-Entorhinal Inspired World Model UAM: A Dual-Stream Perspective on Forgetting in VLA Training BiomedAP: A Vision-Informed Dual-Anchor Framework with Gated Cross-Modal Fusion for Robust Medical Vision-Language Adaptation CompactQE: Interpretable Translation Quality Estimation via Small Open-Weight LLMs GRASP: Learning to Ground Social Reasoning in Multi-Person Non-Verbal Interactions Lamarckian Inheritance in Dynamic Environments: How Key Variables Affect Evolutionary Dynamics A Topology-Aware Spatiotemporal Handover Framework for Continuous Multi-UAV Tracking Grokking as Structural Inference: Transformers Need Bayesian Lottery Tickets Toward Natural and Companionable Virtual Agents via Cross-Temporal Emotional Modeling Modeling Music as a Time-Frequency Image: A 2D Tokenizer for Music Generation GAP: Geometric Anchor Pre-training for Data-Efficient Visuomotor Learning of Manipulation Tasks RoadmapBench: Evaluating Long-Horizon Agentic Software Development Across Version Upgrades Access Timing as Scaffolding: A Reinforcement Learning Approach to GenAI in Education Shapley Neuron Values for Continual Learning: Which Neurons Matter Most? FSCM: Frequency-Enhanced Spatial-Spectral Coupled Mamba for Infrared Hyperspectral Image Colorization Symplectic Neural Operators for Learning Infinite Dimensional Hamiltonian Systems CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts Uncertainty-Aware Wildfire Smoke Density Classification from Satellite Imagery via CBAM-Augmented EfficientNet with Evidential Deep Learning Generative Long-term User Interest Modeling for Click-Through Rate Prediction RaPD: Resolution-Agnostic Pixel Diffusion via Semantics-Enriched Implicit Representations Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation SLIP & ETHICS: Graduated Intervention for AI Emotional Companions LoCO: Low-rank Compositional Rotation Fine-tuning Decomposed Vision-Language Alignment for Fine-Grained Open-Vocabulary Segmentation When and Why Adversarial Training Improves PINNs: A Neural Tangent Kernel Perspective Reference-Free Reinforcement Learning Fine-Tuning for MT: A Seq2Seq Perspective Ontology for Policing: Conceptual Knowledge Learning for Semantic Understanding and Reasoning in Law Enforcement Reports Beyond Content: A Comprehensive Speech Toxicity Dataset and Detection Framework Incorporating Paralinguistic Cues Constrained latent state modeling: A unifying perspective on representation learning under competing constraints CitePrism: Human-in-the-Loop AI for Citation Auditing and Editorial Integrity Can Vision Language Models Be Adaptive in Mathematics Education? A Learner Model-based Rubric Study From Flat Language Labels to Typological Priors: Structured Language Conditioning for Multilingual Speech-to-Speech Translation Who Owns This Agent? Tracing AI Agents Back to Their Owners Learning Sim-Grounded Policies for Bimanual Rope Manipulation from Human Teleoperation Data RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents XSearch: Explainable Code Search via Concept-to-Code Alignment Looped SSMs: Depth-Recurrence and Input Reshaping for Time Series Classification Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making Misspecified Explore-then-Exploit Leads to Supra-Competitive Prices Robust Prior-Guided Segmentation for Editable 3D Gaussian Splatting AgriMind: An Ensemble Deep Learning Framework for Multi-Class Plant Disease Classification VideoSeeker: Incentivizing Instance-level Video Understanding via Native Agentic Tool Invocation Towards Foundation Models for Relational Databases with Language Models and Graph Neural Networks Towards Trustworthy and Explainable AI for Perception Models: From Concept to Prototype Vehicle Deployment Multi-level Self-supervised Pretraining on Compositional Hierarchical Graph for Molecular Property Prediction Centralized vs Decentralized Federated Learning: A trade-off performance analysis GeoGS-CE: Learning Delay--Beam Channel Priors with 3D Gaussians for High-Mobility Scenarios Federated Imputation under Heterogeneous Feature Spaces Attention Dispersion in Dynamic Graph Transformers: Diagnosis and a Transferable Fix DebiasRAG: A Tuning-Free Path to Fair Generation in Large Language Models through Retrieval-Augmented Generation GenShield: Unified Detection and Artifact Correction for AI-Generated Images Entropy Across the Bridge: Conditional-Marginal Discretization for Flow and Schr\"odinger Samplers Navigating Potholes with Geometry-Aware Sharpness Minimization Surrogate Neural Architecture Codesign Package (SNAC-Pack) Second-Order Multi-Level Variance Correction for Modality Competition in Multimodal Models paper.json: A Coordination Convention for LLM-Agent-Actionable Papers Argus: Evidence Assembly for Scalable Deep Research Agents Evaluating Design Video Generation: Metrics for Compositional Fidelity A Unified Generative-AI Framework for Smart Energy Infrastructure: Intelligent Gas Distribution, Utility Billing, Carbon Analytics, and Quantum-Inspired Optimisation No Free Swap: Protocol-Dependent Layer Redundancy in Transformers Offline Semantic Guidance for Efficient Vision-Language-Action Policy Distillation AI-Mediated Communication Can Steer Collective Opinion A Generative AI Framework for Intelligent Utility Billing CO 2 Analytics and Sustainable Resource Optimisation Designing Datacenter Power Delivery Hierarchies for the AI Era IVGT: Implicit Visual Geometry Transformer for Neural Scene Representation VideoGameBench: Can Vision-Language Models complete popular video games? Honey, I shrunk the hypothesis space (through logical preprocessing) From Guidelines to Guarantees: A Graph-Based Evaluation Harness for Domain-Specific Evaluation of LLMs Traj-CoA: Patient Trajectory Modeling via Chain-of-Agents for Lung Cancer Risk Prediction Frontier Large Language Models Rival State-of-the-Art Planners Quantum Artificial Intelligence for Mission-Critical Systems: Foundations, Architectural Elements, and Future Directions QuickLAP: Quick Language-Action Preference Learning for Semi-Autonomous Agents AI Consciousness and Existential Risk CodeDistiller: Automatically Generating Code Libraries for Scientific Coding Agents Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models When AI Persuades: Adversarial Explanation Attacks on Human Trust in AI-Assisted Decision Making Asking the Right Questions: Improving Reasoning with Generated Stepping Stones The Informational Cost of Agency: A Bounded Measure of Interaction Efficiency for Deployed Reinforcement Learning Opponent State Inference Under Partial Observability: An HMM-POMDP Framework for 2026 Formula 1 Energy Strategy MESD: A Risk-Sensitive Metric for Explanation Fairness Across Intersectional Subgroups Mecha-nudges for Machines FutureWorld: A Live Reinforcement Learning Environment for Predictive Agents with Real-World Outcome Rewards Rethinking Agentic Reinforcement Learning In Large Language Models ProCompNav: Proactive Instance Navigation with Comparative Judgment for Ambiguous User Queries Automated alignment is harder than you think Towards a Virtual Neuroscientist: Autonomous Neuroimaging Analysis via Multi-Agent Collaboration Do Linear Probes Generalize Better in Persona Coordinates? STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation A Cascaded Generative Approach for e-Commerce Recommendations A Constraint Programming Approach for n-Day Lookahead Playoff Clinching in the NHL Network-Aware Bilinear Tokenization for Brain Functional Connectivity Representation Learning SimPersona: Learning Discrete Buyer Personas from Raw Clickstreams for Grounded E-Commerce Agents CrystalReasoner: Reasoning and RL for Property-Conditioned Crystal Structure Generation Falkor-IRAC: Graph-Constrained Generation for Verified Legal Reasoning in Indian Judicial AI $\pi$-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems Learning Developmental Scaffoldings to Guide Self-Organisation Approximate and Weighted Data Reconstruction Attack in Federated Learning FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognition FlipAttack: Jailbreak LLMs via Flipping Tube Loss: A Novel Approach for Prediction Interval Estimation TrainMover: An Interruption-Resilient Runtime for ML Training Shaping Sparse Rewards in Reinforcement Learning: A Semi-supervised Approach Seeing is Understanding: Unlocking Causal Attention into Modality-Mutual Attention for Multimodal LLMs TokenButler: Token Importance is Predictable Do Chinese models speak Chinese languages? Large Language Models Could Be Rote Learners Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory Constraints COCO-Inpaint: A Benchmark for Detecting and Localizing Inpainting-Based Image Manipulations ActiveDPO: Active Direct Preference Optimization for Sample-Efficient Alignment FAR: Function-preserving Attention Replacement for IMC-friendly Inference The Hardness of Achieving Impact in AI for Social Impact Research: A Ground-Level View of Challenges & Opportunities Deep Double Q-learning Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement CIS-BWE: Chaos-Informed Speech Bandwidth Extension Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty Generalized Policy Gradient with History-Aware Decision Transformer for Reliable Routing over Graph Signals CUBE: Contrastive Understanding by Balanced Experiments Autoguided Online Data Curation for Diffusion Model Training Logic of Hypotheses: from Zero to Full Knowledge in Neurosymbolic Integration Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models Dynamic-TreeRPO: Breaking the Independent Trajectory Bottleneck with Structured Sampling BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction NoiseShift: Resolution-Aware Noise Recalibration for Better Low-Resolution Image Generation How to Train Your Advisor: Steering Black-Box LLMs with Advisor Models SAE-RNA: A Sparse Autoencoder Model for Interpreting RNA Language Model Representations UniShield: An Adaptive Multi-Agent Framework for Unified Forgery Image Detection and Localization ADMIT: Few-shot Knowledge Poisoning Attacks on RAG-based Fact Checking A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery Monotone and Separable Set Functions: Characterizations and Neural Models SemanticOpt: Towards LLM-Based Semantic Black-Box Optimization Weight Concentration Regularization for Improving Pruning Robustness Under High Sparsity Sufficient Explanations in Databases and their Connections to Database Repairs DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves Two-Dimensional Quantization for Geometry-Aware Audio Coding HAI-Eval: Measuring Human-AI Synergy in Collaborative Coding Neural Policy Composition from Free Energy Minimization Graph-Regularized Sparse Autoencoders for LLM Safety Steering Drawback of Enforcing Equivariance and its Compensation via the Lens of Expressive Power EMFusion: An Uncertainty-Aware Conditional Diffusion Framework for Frequency-Selective EMF Forecasting in Wireless Networks LASER: Language Model Regression for Semi-Structured Workflow Resource and Runtime Estimation SafeGPT: Preventing Data Leakage and Unethical Outputs in Enterprise LLM Use Structure-BiEval: A Self-Supervised, Dual-Track Framework for Decoupling Structure and Content in LLM Evaluation for Web Information Systems "Unlimited Realm of Exploration and Experimentation": Methods and Motivations of AI-Generated Sexual Content Creators ExplainerPFN: Towards tabular foundation models for model-free zero-shot feature importance estimations Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-training Antidistillation Fingerprinting Improve Large Language Model Systems with User Logs OmniVL-Guard: Towards Unified Vision-Language Forgery Detection and Grounding via Balanced RL Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis Long Range Frequency Tuning for QML Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG Flowette: Flow Matching with Graphette Priors for Graph Generation Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks Stock Market Prediction Using Node Transformer Architecture Integrated with BERT Sentiment Analysis A Unified View of Score-Based and Drifting Models Topology-Preserving Polygon Augmentation for Segmentation in Structured Visual Domains FormulaCode: Evaluating Agentic Optimization on Large Codebases IndicSafe: A Benchmark for Evaluating Multilingual LLM Safety in South Asia Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Optimization Convergent Representations of Linguistic Constructions in Human and Artificial Neural Systems DMax: Aggressive Parallel Decoding for dLLMs KV Cache Offloading for Context-Intensive Tasks Hardware Utilization and Inference Performance of Edge Object Detection Under Fault Injection Don't Retrieve, Navigate: Distilling Enterprise Knowledge into Navigable Agent Skills for QA and RAG DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework CAP: Controllable Alignment Prompting for Unlearning in LLMs Graph Construction and Matching for Imperative Programs using Neural and Structural Methods Skills as Verifiable Artifacts: A Trust Schema and a Biconditional Correctness Criterion for Human-in-the-Loop Agent Runtimes Trojan Hippo: Weaponizing Agent Memory for Data Exfiltration BFORE: Butterfly-Firefly Optimized Retinex Enhancement for Low-Light Image Quality Improvement PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models AIPO: Learning to Reason from Active Interaction Fitting Is Not Enough: Smoothness in Extremely Quantized LLMs ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts Sparsity Moves Computation: How FFN Architecture Reshapes Attention in Small Transformers Key-Value Means: Transformers with Expandable Block-Recurrent Compressed Memory Swarm Skills: A Portable, Self-Evolving Multi-Agent System Specification for Coordination Engineering HYPERPOSE: Hyperbolic Kinematic Phase-Space Attention for 3D Human Pose Estimation The Last Word Often Wins: A Format Confound in Chain-of-Thought Corruption Studies BEACON: A Multimodal Dataset for Learning Behavioral Fingerprints from Gameplay Data SURGE: Surrogate Gradient Adaptation in Binary Neural Networks Hide to See: Reasoning-prefix Masking for Visual-anchored Thinking in VLM Distillation Fill the GAP: A Granular Alignment Paradigm for Visual Reasoning in Multimodal Large Language Models Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training Representing Higher-Order Networks: A Survey of Graph-Based Frameworks ODRPO: Ordinal Decompositions of Discrete Rewards for Robust Policy Optimization Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Protocol-Driven Development: Governing Generated Software Through Invariants and Continuous Evidence PanoWorld: Towards Spatial Supersensing in 360$^\circ$ Panorama World Active Learners as Efficient PRP Rerankers ICED: Concept-level Machine Unlearning via Interpretable Concept Decomposition Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment Agentic Recommender System with Hierarchical Belief-State Memory Does RAG Know When Retrieval Is Wrong? Diagnosing Context Compliance under Knowledge Conflict Do Coding Agents Understand Least-Privilege Authorization? Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale Logging Policy Design for Off-Policy Evaluation CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving PlanningGithub Trending (Python)
Imbad0202/academic-research-skills HKUDS/CLI-Anything K-Dense-AI/scientific-agent-skills CloakHQ/CloakBrowser BigBodyCobain/Shadowbroker NVlabs/Sana ZhuLinsen/daily_stock_analysis mattzh72/articraft dograh-hq/dograh joeseesun/qiaomu-anything-to-notebooklm zinja-coder/jadx-mcp-server Light-Heart-Labs/DreamServer yichuan-w/LEANN wanshuiyin/Auto-claude-code-research-in-sleep GreyDGL/PentestGPT topoteretes/cogneeGithub Trending (C)
libsdl-org/SDL cactus-compute/cactus andreknieriem/headunit-revived containers/bubblewrap openwrt/openwrt EFeru/hoverboard-firmware-hack-FOC HansKristian-Work/vkd3d-proton dayanch96/YTMusicUltimate raysan5/raylib glfw/glfw xmrig/xmrig moonshine-ai/moonshine opa334/Dopamine brunodev85/winlator memtest86plus/memtest86plus bol-van/zapret2Nature
A multi-agent system for automating scientific discovery An AI system to help scientists write expert-level empirical software Accelerating scientific discovery with Co-Scientist AI might jeopardize the uncertainty required in science Support academic institutions under attack River oxygen levels are dropping around the world as Earth warms France’s research-primate project goes against its own ethics panel On the right track in the design of an early typewriter Airborne DNA can yield insights with the right techniques Teams of AI agents boost speed of research Why AI cannot do good science without humans Could this synthetic egg bring back extinct birds? Researchers urge caution The uncritical adoption of AI in science is alarming — we urgently need guard rails Researchers who use hallucinated references to face arXiv ban China moves AI brain implants from trials towards real-world use DNA-folding changes block production of self-directed antibodies ‘It is incredible’: How AI is transforming mathematics Publisher Correction: Microbiota-induced T cell plasticity enables immune-mediated tumour control Publisher Correction: GLP-1R–GIPR–PPARα/γ/δ quintuple agonism corrects obesity and diabetes in mice Do you hate or love AI? Take Nature’s poll Secrets of giant ancient jar in Laos unpacked at last A step-by-step guide for scientists who hate conference networking Criminals are made, not born: how when you live shapes whether you will break the law Ebola outbreak is a global health emergency: what happens next Can the ‘steroid Olympics’ show the sporting community how to support athletes better? Race begins to trial Ebola drugs amid current outbreak Birds get a bad rap: why we should look up to our feathered friends The Enhanced Games miss the point: science can clean up sport Even mild blows to the head disrupt the microbiome Briefing Chat: Hantavirus — what this outbreak reveals about the disease Bespoke DNA vaccine offers hope for treatment of notorious brain cancer Exclusive: NIH ousts infectious-disease leaders as COVID scientists face US charges Running a farm, pursuing a research career: what’s the difference? Daily briefing: Are we about to face a ‘super’ El Niño? Mouse eyes photosynthesize after plant-to-animal transplant Serebral US biology lab locked down for more than a week amid smuggling inquiry Genetic survey exposes flaws in widely used mouse models Author Correction: Postprandial lipid metabolism durably enhances T cell immunity Author Correction: The AIM2 inflammasome exacerbates atherosclerosis in clonal haematopoiesis NIH staffing shortage could slash number of new grants issued this year Does the PSA test for prostate cancer save lives? New data reverse gold-standard findings Are we really headed for a ‘super’ El Niño? What the science says Hallucinated citations highest in social sciences preprints site Daily briefing: Around seven hours of sleep slows biological ageing Immune cells in the blood drive brain ageing — blocking them improves memory Mental-health research is too often invisible — it is time to change that Procrastination, productivity and inspiration: how research is like designing video games Stereoelectronic manipulation of ligands for perovskite solar cells The hunt for the next antibiotics Red-light therapy is all the rage — does it work? Pristine Antarctic ice records the Solar System’s travels An ultra-faint, chemically primitive galaxy forming in the reionization era More concentrated precipitation decreases terrestrial water storage Efficient robot navigation inspired by honeybee learning flights Sustaining microglial reparative function enhances stroke recovery Adaptive cellular evolution in the intestine of hyperdiverse cichlid fishes Long-term editing of brain circuits using an engineered electrical synapse State media control influences large language models Enhanced response of extreme compound events to cumulative CO2 emissions Enamel proteins from six Homo erectus specimens across China Twenty-first century emergence of alpine fire in Central African mountains Ecotypes of triple-negative breast cancer in response to chemotherapy Gaussian boson sampling with 1,024 squeezed states in 8,176 modes Lineage and organ signals sequentially build organ intrinsic nervous systems SNOR promotes translation restart after dormancy Mesoscale atomic engineering in a crystal lattice Subspace communication in the hippocampal–retrosplenial axis Large-scale discovery, analysis and design of protein energy landscapes Asymmetric splitting in dividing lipid-nucleotide multilamellar droplets Sleep chart of biological ageing clocks in middle and late life Developmental gene expression patterns driving species-specific cortical features Obesity rise plateaus in developed nations and accelerates in developing nations Eosinophils drive intestinal remodelling and innate defence in reproduction A synaptic locus of song learningCNN
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
In Georgia, Republican primary for governor goes to a runoff between Trump backers U.S. government to drop tax claims against Trump in broadening of IRS settlement Endorsed by Trump, Ed Gallrein defeats Rep. Thomas Massie in GOP House primary 'Taiwan Travelogue' wins the 2026 International Booker Prize Trump endorses Ken Paxton over incumbent John Cornyn in Texas Senate primary runoff Minnesota becomes first state to ban prediction markets States sue over new student loan limits on certain nursing and healthcare degrees Can't keep a habit? This comic shares a proven formula to make it stick A study investigates: Did the abrupt end of USAID have an impact on violence? Israel's trying to expel a whole Palestinian district in East Jerusalem, activists sayThe Atlantic
Heads, Trump Wins A Star Wars Movie to Fall Asleep To It’s Maddeningly Difficult to Ban Smoking Photos: Cuba Runs out of Fuel Why Does Donald Trump Refuse to Defend America? Everlane, Shein, and the Limits of the Ethical Consumer San Diego’s Tragic Lesson About Terrorism This Ebola Outbreak Will Be Hard to Contain Trump’s $1.8 Billion Slush Fund Is Worse Than Stealing A Cheap Fix for Urban Crime How Cuban History Broke a Family Democracy Is a Racial Entitlement Now What the Pentagon Didn’t Say About a Deadly Crash ‘The Destruction of the Civil Service Is Our National Loss’ Elon Musk Gets a Reality Check Granting Tina Peters Clemency Is a Big Mistake Donald Trump’s Nixon Moment That Wasn’t The Most Interesting Part of Trump’s Prayer Rally Olivia Rodrigo’s Baby-Doll Dress Was a Rorschach Test The Great Gen Z Dividing Line Everything You Do Is Being Recorded A Perfect Gilded Age Confection AI Has Broken Containment The Richest Cat in the World A Different Kind of Fading PresidentVox
The Supreme Court just handed down two surprisingly timid Voting Rights Act decisions MAGA’s favorite psychedelic The sublime, feral pleasure of Girl Dinner Diaries Photos reveal strange sea creatures that scientists have never seen before Trump gets his slush fund The 5 most unhinged revelations from Elon Musk’s lawsuit against OpenAI An HIV-free generation is closer than you think The paradox at the heart of American meat consumption You have more time than you think. Here are 5 science-backed ways to find it Data centers could actually be good for your hometownAl Jazeera
US Senate advances resolution to curb Trump’s power to wage war on Iran Iran war live: Tehran warns of ‘many more surprises’ if conflict resumes Putin meets Xi: Why Russia and China need each other US to let DR Congo football team in for World Cup despite Ebola restrictions US authorities say missionary who contracted Ebola en route to Germany Thousands of protesters demand president’s resignation in Bolivia’s La Paz NAACP urges athletes to boycott southern US universities over voting rights Video shows oil spill on Iranian island after refinery attack last month Arsenal’s Arteta claims Premier League to step from Guardiola’s shadow Trump showcases new ‘drone-protected’ White House ballroom Arsenal crowned Premier League champions as Man City draw at Bournemouth More than 15,800 people killed in Russia’s all-out war on Ukraine: UN Norway journalist calls out Modi over avoiding media questions Does Ukraine have the advantage at the moment? Southampton expelled from world’s most lucrative football match for spying Mansour Kaziha, Nader Awad identified as victims in San Diego Mosque attack Moment Neymar brought to tears after surprise World Cup call-up Israeli forces fire ‘rubber bullets’ at activists on Gaza aid flotilla High prices in Iran’s stunted housing market leave tenants with few options Trump’s Board of Peace urges fix to ‘gap’ in funding DRC prepares Ebola treatment centres as death toll rises Trump backs Ken Paxton in crucial Texas Republican Senate run-off Somaliland to open embassy in Jerusalem, Israel in Hargeisa: Envoy Putin arrives in China for talks with Chinese leader Xi Jinping US imposes sanctions on Gaza flotilla organisers amid Israeli crackdownArs Technica
FBI seeks US-wide access to license plate cameras, wants "data in near real time" Spider-Noir final trailer gives us a classic villain "I'll buy 10 of those"—NASA science chief yearns for mass-produced satellites Plex's 200% Lifetime Pass price hike tries forcing users to another subscription Two AI-based science assistants succeed with drug-retargeting tasks Google's SynthID AI watermarking tech is being adopted by OpenAI, Nvidia, and more In stunning display of stupid, secret CISA credentials found in public GitHub repo RFK Jr. forced to withdraw charter that opened CDC panel to anti-vaccine quacks Gemini 3.5 Flash might be fast enough for gen AI to make sense The era of 1,000 Hz gaming monitors has arrived, but why? EV drivers will pay $130 a year under Congress' 2026 transportation bill Civilization VII finally lets you build a civ that stands the test of time Electrical utility megamerger is all about the data centers In addition to space stations, Vast says it will now build high-power satellites Iran demands Big Tech pay fees for undersea Internet cables in Strait of Hormuz Ebola outbreak: WHO declares emergency, US restricts travel, American infected Legal fail: Don’t use AI to sue Facebook users for calling you a bad date One Mars spacecraft, two senators, and a cloud of questions Australian Aboriginals cared for a dingo's grave for decades Elon Musk took too long to sue OpenAI, jury unanimously agreesSlashdot
Plex Triples Lifetime Subscription Cost To $750 Google Changes Its Search Box for the First Time in 25 Years NextEra and Dominion's $67 Billion Mega-Merger Is All About the Data Centers OpenAI Co-Founder Andrej Karpathy Joins Anthropic StanChart To Cut Over 7,000 Jobs, Boost AI To Replace 'Lower-Value Human Capital' CISA Admin Leaked AWS GovCloud Keys On Github Microsoft Launches Surface Pro 12, Surface Laptop 8 With Intel Chips Microsoft Surprises With Its First Server Linux Distribution: Azure Linux 4.0 Before Mass Layoffs, Meta Reassigns 7,000 Workers To Focus On AI Amazon's Alexa+ Now Produces AI-Generated Podcasts Europe Tests Laser Links As Satellite Comms Outgrow Radio PlayStation Exclusives Aren't Coming To PC Anymore FBI Wants to Buy Nationwide Access to License Plate Readers New Windows 'MiniPlasma' Zero-Day Exploit Gives SYSTEM Access, PoC Released Nintendo Tries To Obtain Touchscreen-Specific Patent On Monster CapturingSmithsonian Magazine
Likely Kicked by a Kangaroo, This Dingo Healed a Millennium Ago Thanks to Help From an Aboriginal Community That Continued to Honor It for 500 Years The Bayeux Tapestry Takes a Journey for a Fresh Perspective as the British Museum Prepares to Lay the Masterpiece Out Flat 'De-Extinction' Company Says It Hatched Chicks From Artificial Eggs, Paving the Way for Resurrecting Dodos and Other Bygone Birds Why Was This Ancient Roman Soldier's Gravestone Hidden in a Louisiana Backyard? Archaeologists Solved the Mystery—and Helped Return the Artifact to Italy 'Mona Lisa' Is Moving to a New Home. The Louvre Just Announced the Architects Who Will Design Her Private Suite From Basket Weaving to Oyster Reef Conservation, Gullah Geechee Women Are Preserving a Living Heritage Where the Movement Lives: Eight Tennessee Landmarks on the U.S. Civil Rights Trail These Ten Breathtaking Images From the 2026 Milky Way Photographer of the Year Contest Capture the Beauty of Our Galaxy Millions of Bright Blue Blobs Called 'By-the-Wind Sailors' Are Littering Beaches Along the West Coast Walk in the Footsteps of Legendary Changemakers at Eight Key Sites on Alabama’s Civil Rights TrailInfoQ
Anthropic Introduces MCP Tunnels for Private Agent Access to Internal Systems Agoda Builds Multimodal Content System to Bridge Images and Reviews in Travel Discovery Presentation: Powering the Future: Building Your GenAI Infrastructure Stack TanStack Details Sophisticated npm Supply Chain Attack That Compromised 42 Packages Article: Kernel-Level Ground Truth: Why eBPF is Replacing User-Space Agents for Security Observability Vite Version 8: Unified Rust-Based Bundler and Up to 30x Faster Builds Swiggy Improves Search Autocomplete Using Real Time Machine Learning Ranking Anthropic's Code with Claude Announces Managed Agents, Proactive Workflows, Capability Curve Java News Roundup: OpenJDK JEPs, Azul Payara, WildFly, LangChain4j, OpenXava, Google ADK Article: Building a Secure MCP Server on AWS for a Million-Company B2B Platform Podcast: Context is the Key to the Agentic Architecture Revolution: A Conversation with Baruch Sadogursky Presentation: Product Thinking for Cloud Native Engineers Cloudflare and Stripe Let AI Agents Create Accounts, Buy Domains, and Deploy to Production Navigation API Reaches Baseline Newly Available as Replacement to the History API OpenAI Open-Sources Symphony, a SPEC.md for Autonomous Coding Agent OrchestrationDynomight
What’s with all the slide decks? You’re probably taking the wrong painkiller I quit drinking for a year LLMs predict my coffee The modern formatting addiction in writing Maybe there’s a pattern here? Heritability of human life span is about 50% when heritability is redefined to be something different Why read novels? Good if make prior after data instead of before Why the chicken crossed the road, according to various entities Underrated reasons to be thankful V Make product worse, get money Dating: A mysterious constellation of facts Pointing machines, population pyramids, post office scandal, type species, and horse urine Will the explainer post go extinct? Y’all are over-complicating these AI-risk arguments Shoes, Algernon, Pangea, and Sea Peoples Dear PendingKetchup You can try to like stuff I guess I was wrong about AI persuasion Futarchy’s fundamental flaw — the market — the blog post Heritability puzzlers New colors without shooting lasers into your eyes My 9-week unprocessed food self-experiment Links for July Do blue-blocking glasses improve sleep? Scribble-based forecasting and AI 2027 The AI safety problem is wanting Thoughts on the AI 2027 discourse Moral puzzles: Man vs. machineMarginal Revolution
Old space policy vs. new space policy Tuesday assorted links Repugnant Economics “Wokeness has peaked. What followed is worse.” Monday assorted links Who is losing out in marriage market competition? What else is special about southeastern Michigan? (from my email) Why I am skeptical on the relationship between smart phones and fertility Sunday assorted links Dwarkesh in the Datacenter “Is the scientific enterprise too risk-averse?” South Korea facts of the day Revealing Life Preferences Through LLMs Saturday assorted links Ned Phelps, RIPNot Boring
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 Uncomputable Weekly Dose of Optimism #184 Weekly Dose of Optimism #183 Costless Sacrifice Weekly Dose of Optimism #182Coding 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’s Psyche Mission Images Mars’ Huygens Crater NASA’s Psyche Mission Spies Mars’ Wind-Blown Craters During Close Approach Psyche’s High-Resolution View of Mars’ South Pole NASA’s Psyche Mission Sees Mars’ South Pole After Flyby NASA’s Psyche Mission Images the Crescent of Mars NASA’s Psyche Mission Aces Mars Flyby, Targets Metal-Rich Asteroid Moon-Venus Conjunction Johnson’s Cindy Evans Prepares Artemis Teams for Lunar Science NASA’s New Shock Detectives Project Invites Volunteers to Help Study Solar Wind Farming in Ancient Lake AgassizQuanta Magazine
What Do Gödel’s Incompleteness Theorems Truly Mean? Rubin Tracks Skyscraper-Size Asteroids, Failed Supernovas, and Interstellar Visitors How the Bird Eye Was Pushed to an Evolutionary Extreme How Unknowable Math Can Help Hide Secrets Will We Ever Be Able To Forecast Volcanic Eruptions Like Weather?Science Daily
Scientists found a smarter Mediterranean diet that slashes diabetes risk by 31% Rare graves reveal a lost world of Bronze Age Europe hidden for 3,000 years Hidden earthquake faults beneath Seattle may be more dangerous than expected Scientists were wrong about this “rule-breaking” particle Scientists boosted one protein and aging mice became stronger and healthier People who lost the most weight on Ozempic saw huge health benefits A strange ripple in spacetime could be the first fingerprint of dark matter String theory suddenly emerged from simple physics rules Antarctic glacier collapses at record speed as Hektoria retreats 15 miles in just 15 months NASA’s powerful Roman Space Telescope is about to transform astronomy Forget electrons, this breakthrough uses light-matter particles to power AI The “impossible” LED that could change everything This popular fermented food may help flush microplastics from the body Plant believed extinct for 60 years suddenly reappears Scientists opened a sealed envelope after 10 years and gravity still didn’t make sense Schrödinger’s clock: Time could tick faster and slower at the same time Scientists just unlocked a cheaper way to make clean hydrogen fuel AI reveals the invisible magnetic chaos wasting energy inside electric motors Hidden sugar patterns on human cells could reveal cancer early Scientists think they’ve cracked the mystery of human right-handedness Eating grapes daily could unlock powerful skin protection Quantum ghost imaging works using only sunlight in stunning new experiment Scientists uncover surprising health benefits of watermelon Scientists reveal how seven days of fasting transforms the human body Scientists reverse Alzheimer’s in mice with breakthrough nanotechnology First-ever direct image of the cosmic web reveals the Universe’s hidden highways Scientists reversed memory loss by recharging the brain’s tiny engines Scientists find hidden brain nutrient deficit that may fuel anxiety Stunning fossil discovery in Ethiopia rewrites human origins Ancient lost ocean may have built Central Asia’s dinosaur-era mountains The real reason exercise makes you stronger isn’t what you think Scientists reveal the surprising truth about coffee and blood pressure Stunning 150-million-year-old stegosaur skull rewrites dinosaur evolution Lost 1,200-year-old manuscript contains the first English poem New study debunks the biggest fear about yo-yo dieting Scientists discover why some cancers survive chemotherapy Scientists warn that the world’s rivers are running out of oxygen Scientists discover hidden “brakes” that stop massive earthquakes Scientists discover tiny gut particles that may drive aging and chronic disease Is cannabis safe after 65? Stanford experts reveal 5 risks older adults should know Scientists discover vitamin B2 may help cancer cells survive The brain’s “feel good” chemical may be secretly fueling tinnitus One in five people may carry this hidden cholesterol risk without knowing it This silent tooth infection could be hurting your whole body Mars may have once had an ocean and this chaotic valley is a big clue NASA’s new AI space chip could let spacecraft think for themselves NASA’s Roman Space Telescope could reveal millions of invisible neutron stars Scientists say just 30 minutes of exercise a week could transform your health Scientists discover giant “last titan” dinosaur, Southeast Asia’s largest ever A grad student’s wild idea sparks a major aging breakthrough A 47-year study reveals when strength and fitness start to fade Paleontology rocked by discovery of organic molecules in 66-million-year-old dinosaur bones Who are the Japanese? Huge DNA discovery rewrites history Scientists “bottle the sun” with a liquid battery that stores solar energy Deadly “red sky” solar storm from 800 years ago discovered in ancient trees Scientists discover a mysterious asteroid breaking apart near the Sun After 100 years, scientists finally uncover hidden rule behind cosmic rays Giant squid discovery uncovers a hidden deep-sea world off Australia Colon cancer is rising in young adults and doctors don’t fully know why Giant “stealth” magma surge triggered thousands of earthquakes beneath Atlantic islandSpaceflight Now
Live coverage: SpaceX to launch 24 Starlink satellites on Falcon 9 rocket launch from Vandenberg SFB NASA, SpaceX launch Dragon mission with 6,500 pounds of science and supplies to the space station ULA confirms successful solid rocket booster test as Vulcan anomaly investigation continues SpaceX targets May 19 for debut of Starship Version 3, Launch Pad 2 For a second time, poor weather scrubs Cargo Dragon mission launch to the space station SpaceX launches intelligence-gathering satellites for the National Reconnaissance Office Rescue mission for NASA’s $500 million space telescope passes key testing milestone Rocket Lab announces five-launch Neutron deal as it continues aiming for late 2026 debut SpaceX launches 24 Starlink satellites on Falcon 9 rocket from Vandenberg SFB Lockheed Martin joins collaboration with Firefly Aerospace and Seagate for off-shore launchesSpace Daily
The bacteria living in and on your body outnumber your own cells, which means that by strict cellular count you are not majority human — and the ratio shifts noticeably depending on whether you’ve just been to the bathroom In April 2019 the Israeli spacecraft Beresheet crashed into the lunar surface carrying thousands of dehydrated tardigrades inside a “lunar library” — and later impact tests put the survival cutoff for tardigrades at around 900 metres per second, almost exactly Beresheet’s crash speed, meaning we still don’t know whether Earth life is now lying dormant on the Moon with no water to revive it. Radioactive iron from an ancient stellar explosion has been found in 80,000-year-old Antarctic ice, confirming that the Solar System is passing through the remnant debris of a supernova Technology spent 15 years removing every small resistance from your day — and a growing body of research suggests that was not as good for your brain as it was for their engagement metrics In 2007 the European Space Agency exposed dried tardigrades to the open vacuum of space for 10 days aboard the FOTON-M3 mission, and most survived the combination of vacuum and cosmic radiation, with some even surviving direct solar UV — then revived back on Earth and produced viable offspring. Japan sits on the intersection of four tectonic plates and experiences roughly 1,500 earthquakes a year, which is why the country’s building codes are the strictest on Earth — and why the Tokyo Skytree, the second-tallest structure in the world, is designed to sway rather than resist People who are truly pleasant and kind but have no close friends often spent decades being the one everyone called during a crisis — and somewhere along the way noticed almost none of those calls had reversed direction Astronauts on the ISS lose about 1-2% of their bone density per month in microgravity — meaning a six-month mission costs them as much bone mass as a postmenopausal woman loses in a year — and the countermeasures NASA developed to slow that loss are now being studied as treatments for osteoporosis patients on the ground The Antikythera mechanism was recovered from a Roman-era shipwreck in 1901 with at least 30 hand-cut bronze gears inside, and no comparable machine survives for centuries after it, as if a whole engineering tradition dropped out of history China’s Chang’e 5 mission returned lunar rocks dated to 2 billion years old — 800 million years younger than anything Apollo brought back — which means the Moon was geologically active hundreds of millions of years later than every textbook had assumed, and most of those textbooks haven’t been updated yetSpace News
SDA director Sandhoo takes on broader Space Force missile warning portfolio Startup challenging satellite industry’s multi-orbit playbook Portal Space taps Quindar for ground mission support of its maneuvering spacecraft Vast announces line of high-power satellite buses Lynk and Anterix get FCC nod to test satellite D2D for private utility networks Anderson confirmed as NASA deputy administrator ESA-China SMILE mission lifts off to deliver first global images of Earth’s magnetosphere European imaging companies step in to fill warzone gap Four NASA payloads to fly on Astrolab’s first lunar rover Inside Golden Dome’s push to court commercial tech firms and investors Tomorrow.io adds $35 million to DeepSky funding round House bill restores funding for TraCSS New CSF Report Sees Up To 7,000+ Satellites Launched Annually By Mid 2030’s, Highlights The Challenges With US Launch Infrastructure The next war will be won — or lost — in orbit Zenk Space raises $26 million, targets June debut launch NASA releases final RFP for Mars communications orbiter York Space defends growth strategy as SDA programs are reshaped Space Force awards Northrop Grumman $398 million satellite contract SpaceX launches CRS-34 cargo mission to ISS Starlink Mobile challengers back proposed telco-led D2D joint venture Joint ESA-China SMILE mission set for launch to study Earth’s magnetic shield Virgin Galactic reaffirms plans to begin commercial service this year Chinese satellite maker MinoSpace seeks $736 million in IPO Cowboy files plans for up to 20,000 orbital data centersMartin Fowler
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 Fragments: March 19 Context Anchoring Fragments: March 16 Ideological Resistance to Patents, Followed by Reluctant Pragmatism Humans and Agents in Software Engineering Loops Design-First Collaboration Knowledge Priming Bliki: Host Leadership Bliki: Agentic Email Harness Engineering Bliki: Future Of Software DevelopmentEmbedded Artistry
Practicalities of Co-locating Tests with Source Code A Practice: Satisfied on Purpose Embedded Artistry’s Essential Engineering Library Flashing Yocto Images from MacOS Convenience Gone Wrong: A C++ auto Story Battling Perfectionism in Creation Pushing Git Submodule Commits Automatically Monorepo Tooling Update: Signed Commit Support in Git 2.52 The After-Hours Consulting Trap Configuring Git Remotes: Fetch Only One Branch and No Tags What I’ve Been Up To (20251205) Life After Burnout Automating Away the Fun Parts Creating Deterministic Zip Files with Git Commit Timestamps Papers in Systems: Schön on Dynamic Conservatism Reclaim Your Data: Freeing a Wi-Fi Sensor from the Cloud 2022-2023 Quarterly Discussion Panel Archives Exploring Serverless CI/CD for Embedded Devices How to cherry-pick Specific Files from a Commit 2023 in Review Managing Issues and Improving Products After Launch Resolving Git Commit History Divergence Due to Case-Sensitive Rename Operations Responses to the Commentariat on the -Werror Article Leveraging Your Toolchain to Improve Security Best Practices for Safeguarding Your Connected Devices Q&A: How Do You Stay on the Path and Make it to “Done”? Q&A: How Many Iterations Do You Recommend for Scaling From a Prototype to Mass Production? Q&A: To What Degree Should We Understand Other Disciplines? Meson Pattern: Monorepo that Supports Individual Subproject Builds From Concept to Launch: What It Takes to Build and Ship a New DeviceAttack Magazine
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 Live Kiviak Launches WoFi LE Portable Sampler Expressive E – “We’re Not Trying To Replace Established Ways Of Working But To Extend Them” Expressive E Osmose CE 61 Review: Take Control Key Takeaways From IMS 2026 Electronic Music Industry Reaches $15.1 Billion As Global Growth AcceleratesDJ 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