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U.S. strikes Iran in response to helicopter downing: CENTCOM - Axios June 9 Primary Election Live Updates: Key races, results and turnout across 4 states - Fox News Karmelo Anthony found guilty of murder over Texas track meet stabbing - ABC News - Breaking News, Latest News and Videos Republican Steve Hilton to face Democrat Xavier Becerra in California governor’s race - NBC News Christian leaders in Lebanese city of Tyre call for quick international action after Israeli warning - AP News Trump ‘inventing fraud’ in California, experts warn as president ramps up baseless claims - The Guardian House passes $70B bill to fund immigration enforcement for 3 years, sending to Trump - AP News 20 House Republicans cross party lines to pass pro-union bill - Live Updates - Politico Largest ICE detention facility wasted millions and put detainees at risk, report finds - AP News Californians didn’t buy billionaire Tom Steyer’s ‘class traitor’ message - Politico Xi Cements Sway Over North Korea as Kim Names China Top Priority - Bloomberg.com Man Arrested in ‘Brutal’ Stabbing in Belfast, Police Say - The New York Times Why there's a debate over the new quarantine center for Americans at risk of Ebola - NPR After FCAS demise, Germany’s options include ordering more F-35 warplanes - Defense News Social Security shortfall expected to accelerate, with funds at critical low in 2032 - The Washington Post Anthropic rolls out public version of Mythos without cybersecurity capability - Reuters OpenAI’s Paradox: ChatGPT Owner Files for IPO But Wants to Stay Private for ‘A While’ - Barron's G.M. Plans to Develop Energy Storage Batteries as E.V. Sales Flag - The New York Times WWDC 2026: Everything announced on Siri AI, iOS 27, Apple Intelligence, and more - TechCrunch Google announces Gemini 3.5 Live Translate for instant voice-to-voice translation - Ars Technica Starlink Quietly Introduces Monthly Hardware Rental Fee - Mirage News Motorola Razr Ultra Review: Too Much For Too Little - Engadget With ‘Disclosure Day,’ Steven Spielberg Aims to Prove He’s Still the King of the Summer Box Office - Variety Knicks, Spurs set to add a new chapter to Madison Square Garden lore - NBA.com Look of the Week: Teyana Taylor gives Chanel the Harlem treatment - CNN Why Ariana Grande and Ethan Slater Broke up After Nearly 3 Years of Dating - instyle.com KSR Today: NBA Finals, Bearded Mark Pope, Football Recruiting - On3 Stephen A. Smith Taunts Trump Over IQ Insult, Knicks Loss, Falling Asleep - Deadline Texas Tech boycott tracker: Here are the schools considering refusal to play Brendan Sorsby after 'bulls—' ruling - Yahoo Sports 8 Arrested After Ruckus Near Knicks Watch Party at Bryant Park - The New York Times ‘Earth’s first starfleet’: Nasa reveals Artemis III crew and project’s next steps - The Guardian Watch the Jupiter-Venus conjunction unfold live online today - Space Woolly mammoth among trove of ancient DNA found in squirrel poo - Yahoo A Falcon 9 booster turns 5 years old—and just set a remarkable reuse record - Ars Technica Congo's Ebola outbreak rises to over 100 deaths out of 550 cases as conflict slows response - AP News Alcohol study discarded by Trump officials is published in scientific journal - statnews.com Why the U.S. Is Unprepared for a Potential Public Health Outbreak at the World Cup - Sports Illustrated 5 Tick Infested Areas In Michigan - WorldAtlasBBC News
Disorder breaks out in Belfast after man charged with knife attack David Sullivan banned from contact with West Ham women's and youth teams since 2023 Inside Myanmar, rebels are losing ground as military forces men into army The rebels at the front line of Myanmar's civil war US strikes Iran in response to downing of helicopter, military says Bowen: Trump and Netanyahu wanted to reshape the Middle East - now they risk a permacrisis Advanced radiotherapy for prostate cancer to cut sessions from 20 to five Bill debt soars but many don't know help is available Men jailed for violence at Henry Nowak police protest Hidden homeless women are being missed from official figures, charities warn Beauty Pie LED mask ad banned over misleading anti-wrinkle claim Fifa working to resolve revoked Iran tickets How to enjoy the World Cup - and keep your boss on side Does referee case show Fifa has lost control of its own World Cup? Twenty new players to look out for Why super-sized and politicised World Cup comes at a cost Play BBC Sport's new predictor game Nasa has named the Artemis III crew - what is their mission? The Papers: 'Violence in Belfast' and Trump's 'war words' Identical twin given six months to live says leaving sister is 'unthinkable' Murder of Lyhanna, 11, enrages France and turns up heat on government Scrapping of Franco-German fighter jet leaves allies at odds on defence future Man who killed partner 'resented how revered she was' What now for West Ham after Sullivan allegations? Israeli air strikes hit Lebanese city of Tyre despite Iranian warning to stop attacks Farage says Reform has contacted X 'to highest level' over fake AI ads Nasa names next astronauts for Artemis Moon programme Serena Williams rolls back the years on return at Queen's World's largest chipmaker does not rule out price rises as costs increase Two reportedly killed as women take part in rare protest in Afghanistan Version of AI tool 'too powerful for public' released to public BBC News app What We Know About The Belfast Knife Attack So Far Americanswers… on 5 Live! Why did Trump walk out of his TV interview with Meet The Press? Caution over Saka as Tuchel says England must dare to dream Does referee case show Fifa has lost control of its own World Cup? Why England missed out on automatic World Cup spot 'Maybe a C-minus?' - how good was Williams' winning return? Real Madrid's £130m Alvarez bid laughed off by Atletico Stokes and alcohol give England another headache Williams makes winning return at Queen'sFinancial Times (World)
Apollo and Blackstone raise $35bn in chip financing deal for Anthropic Northern Ireland battles to contain disorder after Belfast knife attack Magistrate shortage threatens English court reforms, MPs warn Pope Leo meets Trump foe Bad Bunny FirstFT: KMT leader urges US and China not to treat Taiwan as ‘pawn’ US launches strikes on Iran after downing of American helicopter Oil slides as US official says Hormuz transits are ‘meaningfully’ climbing Apollo hunts for Japanese life insurer to boost growth GM bets on homegrown battery tech to challenge Chinese dominance Taiwan’s opposition leader tells US and China not to use her country as ‘pawn’ Nasdaq slips in volatile trading as 2026 high-flyers pull back The hard truths about England’s receding coastline Starmer to tell ministers to quit if they back Burnham The Fed is going to have to rethink its global role Pentagon restores Alibaba, Baidu and BYD to Chinese military groups blacklist GSK to buy US cancer biotech Nuvalent for $10.6bn Lessons from Germany’s (entirely predictable) UN Security Council defeat EU considers suspending rise in Russian oil price cap VodafoneThree bids for TalkTalk consumer business Trump and Netanyahu’s paths diverge Warsh’s narrow path to success as Fed chair Trump is becoming Jimmy Carter How Poland’s Orlen kept supplies flowing during the Middle East war Fintechs seek to capitalise on rent-burdened US consumers Too few women in leadership? Try rewriting your job postingsFinancial Times (UK)
Northern Ireland battles to contain disorder after Belfast knife attack Magistrate shortage threatens English court reforms, MPs warn The hard truths about England’s receding coastline Starmer to tell ministers to quit if they back Burnham VodafoneThree bids for TalkTalk consumer business Too few women in leadership? Try rewriting your job postings So long Tate & Lyle, stock market trivia titan Will Starmer fight or fold? Christopher Bailey acquires Burleigh pottery Gender divides emerge as big factor in Burnham by-election How the Natural History Museum became Britain’s most popular attraction UK turns to imported chicken as demand surges Investors warn Scotland to avoid long-term debt to limit independence premium UK’s Ajax armoured vehicles set for £250mn funding boost despite delays New Covent Garden’s fruit and veg have gone upmarket Unpaid carers could get maternity-style ‘right to return’ to work London mansion with mystery owner close to £190mn sale Starmer rallies ministers in attempt to build support against Burnham Raiding infrastructure budgets to fund defence stores up trouble What the MPC is really debating at the Bank of England A ‘big bang’ reversal of Brexit is both unrealistic and unnecessary Steel tariffs will delay housebuilding, warns UK construction industry Will the UK embrace electoral reform? Santander chief Ana Botín: UK bank taxes make ‘no economic sense’ UK employers hiring more temps as staff costs riseThe New York Times
Dutch Authorities Block $115 Million Deal by a U.S. Tech Company Why Apple’s A.I. Upgrade for Siri Won’t Be Available in Europe OpenAI Files Confidentially for IPO as AI Companies Rush to Wall St. In the Hybrid A.I.-Human Work Force, Who Will Actually Thrive? G.M. Plans to Develop Energy Storage Batteries as E.V. Sales Flag Meta A.I. Bug Allowed Hackers to Take Over Instagram Accounts Anthropic Releases ‘Safe’ Version of Its Mythos A.I. Technology Apple Reveals New A.I.-Powered Version of Its Siri Digital Assistant Sam Bankman-Fried Has Applied for a Pardon From Trump How Elon Musk’s Friendship With the F.C.C. Smooths the Way for SpaceX’s I.P.O. The Iran War is Forcing Energy-Importing Countries to Turn Inward Apple Expected to Detail Its A.I. Plans at Conference Two New Studies Ask: Did the iPhone Cause Birthrates to Decline? B.F.I. Preserves ‘Charlie Bit My Finger’ and 430 Videos in Archive of Viral Moments People Love to Hate This Fake Private Equity Guy SpaceX Has $30 Billion Deal to Provide Google With A.I. Computing Power Reid Hoffman to Leave Microsoft’s Board of Directors Why the SpaceX IPO Will Affect Your 401(k), Like It or Not Hot I.P.O. Summer + What Is A.I. Doing to Math? + HatGPT From Cow-Milking Robots to Weed-Zapping Lasers, Farmers Are Embracing A.I. Wary of U.S., Carney Bets on AI Strategy for Canada What Are A.I. Agents Actually Doing? How LinkedIn Found Its Social Platform Era Who’s Excited for SpaceX’s I.P.O.? Space Nerds. Gwynne Shotwell, Elon Musk’s No. 2 at SpaceX, Is the Company’s Steady Hand The Do’s and Don’ts of Buying Used Tech Gadgets The Small-Business Owners Managing Whole Armies of A.I. Employees Can These ChatGPT Ads Make You Love A.I.? ‘Teachers Are Going to Hate It’: How Social Media Apps Hooked Teens at School SpaceX IPO to Be Largest Ever at $135 Share Price European Union Outlines Plan to Reduce Dependence on American TechThe Guardian
Man shot dead during protest against proposed US Ebola quarantine facility in Kenya Bandits in north-west Nigeria abduct villagers they invited to discuss peace talks ‘Extreme fear’ among immigrants as backlash sweeps South Africa Ebola spread in central Africa could match 2014 record outbreak, US health officials say ‘Family values’ African charter condemned by rights groups as regressive and dangerous Former Air Canada pilot charged after allegedly flying without proper license for 16 years Florida shaken by 6.1-magnitude earthquake off coast of Cuba The criminal cartels cashing in on the World Cup – podcast Two US pilots killed after plane bound to pick up former MLB star crashes Peru’s discontented voters face straight left-right choice in election runoff Powerful earthquake in southern Philippines leaves at least 37 dead Xi Jinping arrives in Pyongyang on trip to revitalise China-North Korea ties Weather tracker: Monsoon season brings vital rainfall to parts of Asia Japanese city shuts down nearly 100 schools after unprecedented bear sighting Author of Home Office report on China reveals attempts to compromise him Australia news live: Albanese says ‘we need to do more’ on house prices; Australia joins sanctions against ‘extremist settlers’ in West Bank Prisoners in Western Australia are living in ‘cruel, inhuman or degrading’ conditions, report warns Concerns over US company’s plan to frack world’s most intact tropical savanna in WA revealed Rich countries do better in women’s football but understanding why matters, not just for the Matildas ‘Osprey cam’ streams life of nesting seabirds perched at tip of 55 metre-long Queensland rainforest canopy crane Lawyer for murdered French girl’s family calls for more justice system funding ‘Earth’s first starfleet’: Nasa reveals Artemis III crew and project’s next steps Is the pope a Real Madrid fan? Leo’s admission upsets Barcelona faithful EU plans to ban Russian soldiers from bloc in fresh sanctions on Moscow Jersey teenage politician congratulated by Trump says he is not a fan Trump launches strikes against Iran after downing of US army helicopter Israeli attack on Tyre in Lebanon kills eight as evacuation ordered for Christian quarter Israel puts Palestinian doctor in solitary confinement after 17 months held without charge Lebanon’s president refuses to meet Netanyahu until war ends – as it happened Israel and Iran step back from renewed conflict after Trump calls for halt ‘What if all cockroaches came together?’ The youth movement threatening to shake up India’s politics Missing Sherpa guide found alive on Everest after funeral rites had begun Cricket Canada suspended over allegations of gang-linked corruption Eighteen people killed in Afghanistan truck crash, including 10 children Exam fail: Indian students complain en masse about marking errors in key final exams Anti-immigration protesters in Belfast set bins and vehicles on fire amid unrest over knife attack – live Staff at immigration detention centre wore England flags, report finds Grim reality of prison conditions laid bare in damning report Lammy’s cuts to jury trials could have ‘far-reaching’ effect on race relations, say MPs Cattle in England to get tuberculosis vaccine from 2030 as badger cull to end Karmelo Anthony found guilty of murder and sentenced to 35 years How Spencer Pratt’s ‘patently absurd’ bid for Los Angeles mayor fell flat Seattle enacts year-long ban on new AI datacenters US federal judge blocks Alabama from executing man by nitrogen gas Republican Steve Hilton advances in tight California governor’s raceHacker News
Starlink shifts hardware from one-time purchase to $10/month rental It's Death AI misidentification results in wrongful arrest; man seeks justice RIP software hackathons. Long live the hardware hackathon If Claude Fable stops helping you, you'll never know Exif Smuggling Company Will Add Phone, AirPod, and Smartwatch Trackers to ALPRs Upcoming breaking changes for NPM v12 Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks CEOs Who Think AI Replaces Their Employees Are Just Bad CEOs The LD_DEBUG environment variable (2012) Claude Fable 5 Launch HN: Transload (YC P26) – Measuring freight items with CCTV Apple decided not to roll out Siri in EU after denied request for exemption Biff.core: system composition for Clojure web apps FCC wants to kill burner phones by forcing telecoms to get all customers' IDs Is Grep All You Need? How Agent Harnesses Reshape Agentic Search Emerge Career (YC S22) Is Hiring a Founding Growth Marketer Show HN: Gravity – interactive solar-system simulator, from Newton to Einstein Test-case reducers are underappreciated debugging toolsArxiv astro-ph.HE
The X-ray-to-UV relation does not evolve in homogeneous quasar samples The Effects of Cosmic Ray Protons on Galactic Nonthermal Filaments Isolated neutron star candidates from the fourth generation XMM-Newton catalogues Population synthesis of Galactic middle-aged pulsar wind nebulae II. Observational signatures of superefficiency Old pulsar wind nebulae and the role of the thermal filaments Post-Merger Gravitational-Wave Uncertainties of Binary Neutron Stars under Multi-Messenger EOS Constraints Discovery of a Candidate 2 keV Cyclotron Resonance Scattering Feature in the HLX NGC 3583 X-1 Thermal emission from dark matter-heated neutron stars in the Galactic Center On The Nature of Einstein Probe Transient EP250916a: Insights from X-ray, Optical, and Radio Observations Disk reflection as the origin of the X-ray polarization of NGC 4151 with IXPE Relativistic Thermal Emission from Accretion Disks in Kerr-MOG Spacetimes Discovery of CO Clouds Associated with the X-ray Jets of SS 433: Evidence for Shock-Cloud Interaction Enhancing Nonthermal X-ray Emission Precise scaling relations for self-interacting bosonic dark matter stars GRB 250706B/C: Insight-HXMT Discovery of a High-Luminosity Burst as a Candidate for Fallback-Regulated Accretion in the Prompt Emission Bayesian analysis of the shear modulus in the neutron-star crust Fast Radio Bursts produced during collapse of macroscopic X-mode in magnetized pair plasma A thousand looks at X Persei: X-ray spectroscopy at high time resolution Modelling Galactic neutrino emission: contributions from massive star clusters and interstellar cosmic rays Measuring the radii of merging neutron stars with asteroseismology PyCBC Live Search for Compact Binary Mergers in Advanced LIGO and Virgo's Fourth Observing Run NICER Constraints on Low density Interpolation and High density Continuation in Neutron Star Equations of State Core Composition Effects on the QCD Axion Mass Limit from Neutron Star Cooling XRISM Observations of Abell 1795: Evidence for Low Turbulence and Resonant Scattering On the effect of higher order symmetry energy corrections in Skyrme models for neutron star matter Dust to Dust: Prospects for Passive Technosignatures as Relics of ETI Mapping the Landscape of M Dwarf X-ray Flares: New Discoveries in Context Line-of-sight acceleration in compact binaries with higher harmonics and eccentricity Mock Catalogs of Strongly Lensed Gravitational Waves via a Halo Model Approach with Space-borne Detectors On the Nonlinear Dependence of Underground Muon Rate on Atmospheric Temperature Observed at Daya Bay Modifying $\Lambda$CDM dynamics via out-of-equilibrium axions: reconciling SH0ES and DESI $H_0$ values A Scaling Relation of LRDs between Broad H$\alpha$ and Bolometric Luminosities: Enhanced Broad H$\alpha$ Emission Relative to Low-$z$ Type 1 AGN Neutron stars in Poincar\'e gauge gravity with quadratic torsion The 2MIG isolated AGNs -- 2. X-ray general properties and peculiarities X-ray polarization of reflected thermal emission Dark Matter and the Early Formation of Supermassive Black Holes Aligned hierarchical black hole mergers in active-galactic-nuclei disks revealed by GWTC-4 Searching for Electromagnetic Counterpart Candidates to GW231123 Ultra-extreme high-frequency-peaked BL Lacs: A potential population of MeV synchrotron blazars Impact of Cosmic Ray Distribution on the Growth and Saturation of Bell Instability NICER Perspective on TeV Blazar Mrk~421: X-ray Variability and Particle Acceleration Assessing systematic uncertainties from spectral re-analysis of Cyg X-1 with different coronal geometries MeV absorption in gamma-ray bursts as a probe of their progenitor environments The spectral state transition of Mkn 590, a potential link between AGNs and X-ray binaries? ATLAS100 -- I. A volume-limited sample of supernovae and related transients within 100 Mpc Probing the Dispersion and Rotation Measure Contributions from Supernova Remnants in Fast Radio Burst Source Environments with 1D SNR Simulation Sensitivity to Axion-like Particle dark matter with very-high-energy gamma-ray observations of Active Galactic Nuclei located behind Galaxy Clusters Joint Multi-Period Fermi-LAT and LHAASO Constraints on Axion-Like Particles from Mrk 421 Using Profile Likelihood with Gaussian Copula Correlation Resolving Star Cluster Formation in Galaxy Simulations with Cosmic Ray Feedback Prospects for Neutrino Observation and Mass Measurement from Binary Neutron Star MergersArxiv cs.LG
Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark MedicalRec: Medical recommender system for image classification without retraining SPIN: Decentralized Swarm Control via Tensorized Policy Coordination Boundary Variance Inflation Causes Acquisition Bias in Gaussian Processes Emergence via Phase Transitions: Mechanism Landscapes and Universal Convergence Across Complex Systems STARIXNet: Multivariate and Multi-attribute Deep Learning Approach to Real-Time Resource Allocation in Cloud Platforms TriHead-GAN: A Generative Adversarial Network with Triple-Head Discriminator for Carbon Emission Time Series Generation Enabling KV Caching of Shared Prefix for Diffusion Language Models When Should an AI Scientist Stop? Verifiable Experiment Steering and Refusal for Autonomous Discovery MST-Direct at Scale: Multivariate and Conditional Geostatistical Simulation via Sinkhorn Optimal Transport Training-Inference Kernel Contracts: Bounding Divergence in Post-Training and Deployment Customer Churn Prediction on Structured Data Using FT-Transformer and Stacking Ensembles Outage Detection in Self-Healing Smart Grids Using Reinforcement Learning with Spectral Graph Neural Networks From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUs The Routing Plateau: Understanding and Breaking the Accuracy Limits of LLM Routers Optimality of Sequential Filtering Under Independent Cost and Selectivity Models ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research UNIQ: Conformal Calibration for Adaptive Conservatism in Offline Reinforcement Learning Shortcuts in the Tail: Debiasing via Post-Hoc Spectral Compression of Fine-Tuning Updates Repetition Mismatch: Why Data Mixture Experiments Don't Scale and How to Fix Them A Topological Characterization of Graph Neural Networks via Stochastic Block Model Embeddings on the n-Sphere DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression Reachability and asymptotics of Gaussian Transformer dynamics LFNO: Bridging Laplace and Fourier via Transient-Steady Decomposition Sample-Efficient Post-Training for LEGO Spatial-Physics Reasoning MetaEvo: A Meta-Optimization Framework for Experience-Driven Agent Evolution Contribution Weights: A Geometrical Analysis of Self-Attention Transformers SRT: Super-Resolution for Time Series via Disentangled Rectified Flow QDSP: An Interpretable Structured Learning Framework for Predicting Death or Cerebral Palsy in Very Low Birth Weight Infants Position: Genomic Model Research Must Move Beyond Anecdotal Evaluation of Interpretability Methods LEAF: Growing Trees Without Branching for Speech-Aware Large Language Model Post-Training Measuring Poverty and Inequality with Reduced Data: A Machine Learning Approach Using Nigerian Household Data Structured Neuron Pruning in Deep Neural Networks Using Multi-Armed Bandits Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation Query Lens: Interpreting Sparse Key-Value Features with Indirect Effects ScaleSweep: Accurate NVFP4 Post-Training Quantization of LLMs via Block Scale Initialization Graph Neural Networks for Predicting Solvability of Finite Groups HASA: Subnet Allocation for Compute-Constrained Model-Heterogeneous Federated Learning Airport Terminal Passenger Queue Forecasting for Departure Gates and Security Checkpoints Finite Certificates for In-Context Determinacy and a Threshold Theory of Emergence in Language Models Sequential statistical inference for Large Language Models: Representation, validity, and monitoring Learning Transfers: Kan Extensions for Neural Invariants Large Language Models Should Learn Personalized Rather Than Aggregated Human Preferences Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance Trait-space Monitoring for Emergent Misalignment During Supervised Finetuning Evaluation of ML Resource Utilization Requires Model Life Cycle Assessment KITE: A Tri-Modal Transformer Integrating Text, Images, and Knowledge Graphs for Fake News Detection DOG-DPO:Dynamic Optimization in Geometry for Safety Alignment Semantic Cache Distillation: Efficient State Transfer via Reuse and Selective Patching Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Knowledge-Inclusive Adaptive Physics-Informed Neural Network for Microbial Interaction Modelling HARP: Efficient Data Selection for Finetuning Large Language Models BCG-FM: A Foundation Model for Ambient Cardiac Health Sensing Vessel Traffic Flow Prediction on Sparse Data via Spatio-Temporal Graph Neural Networks with a Learnable Tweedie Head DSFNet: Learning Dual-Domain Spectral Operators for Multi-Modality Spatio-Temporal Forecasting in Urban Transportation Systems Adversarial Robustness of Activation Steering in Large Language Models Pharmacogenomic Knowledge Graph Augmentation for Graph Neural Network-Based Drug-Drug Interaction Prediction EssentialGIN: a new approach for gene essentiality prediction based on graph isomorphism neural networks EvoCSFL: Surrogate-Assisted Evolutionary Client Selection for Efficient and Robust Federated Learning How Much Dense Attention is Necessary? Oracle-Guided Sparse Prefill for Full/GQA Layers in Hybrid Long-Context Models FunctionEvolve: Structure-Guided Symbolic Regression with LLMs SAW: Stage-Aware Dynamic Weighting for Multi-Objective Reinforcement Learning in Large Language Models Decoding Naturalistic Emotion Dynamics from the Brain: An LLM-Enhanced Regression Framework WhiFlash: Accelerating Speculative Decoding with Token-Level Cross-Paradigm Routing Rosetta Memory: Adaptive Memory for Cross-LLM Agents Attention at the Theoretical Minimum: A Mathematics of Arrays Framework for Memory-Optimal Transformer Kernels Beyond Accuracy: Interpreting Topic Representation in Suicide Ideation Detection Models A Geometry-Aware Triplane Field Network for Vehicle Aerodynamic Prediction Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity Characterizing the Discrete Geometry of ReLU Networks scCBGM: Interpretable Single-Cell Counterfactual Editing Contrast encodes inductive bias: separating slow noise from dynamics in predictive representation learning A Framework for Evaluating and Benchmarking Concept Drift Detection Methods Byzantine Cheap Talk: Adversarial Resilience and Topology Effects in LLM Coordination Games Mitigating the Contractivity Trap in Diffusion ODEs via Stein Stabilization Teacher-Free Self-Training Amplifies but Does Not Compound: A Pass@$K$ Crossover on a Free-Verifier Domain Instrumented data for causal scientific machine learning Still: Amortized KV Cache Compaction in a Single Forward Pass Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency Strained Coherence: A Pre-Failure Signal in Coding Agent Execution Trajectories Partially Performative Prediction Temporal Coverage over Density: Parsimonious Training-Set Design for ML Climate Downscaling Layer-wise Derivative Controlled Networks Achieve Competitive Accuracy and Gradient Stability Across Data Regimes CAAL: Contextual Bandits based Online Hand-Craft Active Learning Strategy Selection The Easy, the Hard, and the Learnable: Confidence and Difficulty-Adaptive Policy Optimization for LLM Reasoning Minibatch Selection via Partition Matroid Constrained Gradient Matching Overcoming the Limits of Finite Difference Method; Physics-Informed Neural Network for Noisy High-Dimensional Heat Diffusion Enhancing AI Interpretability and Safety through Localised Architectures Evaluating the Impact of Task Granularity on Catastrophic Forgetting in Continual Learning Semantic Quorum Assurance: Collective Certification for Non-Deterministic AI Infrastructure CausShield: Sample Reconstruction-Resilient Vertical FL via Causal Representation Learning Noise-Adaptive High-Probability Regret Bounds for Online Convex Optimization SafeECGMatch: Calibration-Aware Joint Frequency and Time Space Semi-Supervised Learning for Open-Set ECG Classification When Behavioral Safety Evaluation Fails: A Representation-Level Perspective Beyond Homophily: Towards Generalized Graph Reconstruction Attack and Defense DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination ConSteer-RL: Steering Reasoning Capabilities in Large Language Models via Confidence-Aware Reinforcement Learning Constraint-Aware Optimization for Robust Protein Stability Prediction A Unifying View of Attention Sinks: Two Algorithms, Two Solutions Conditional Random Ordered Transport Spaces TRUST-SCF: Transformer-based Risk Understanding and Scoring for Transactional Supply Chain Finance LogNEO: A GPT-Neo Reinforcement Learning Framework for Accurate Real-Time Log Anomaly Detection Have I Solved This Before? Retrieving Similar Segmentation Problems for Evolutionary Learning AttentionCap: Transformer Based Capacitance Matrix Learning Toward Full-Chip Extraction Explaining Data Mixing Scaling Laws Frequency-Domain Latent Attention Gating for Cross-Domain Token Aggregation Neural Field Tokenizations with Hierarchy and Spatial Locality Priors Public Machine Learning Solver Framework for Novices in the Machine Learning Domain How Deep Are Deep GPs, Really? A Sharp Threshold and a Non-Gaussian Limit for Compositional GPs De novo molecular generation with optical property preconditioning at the token level GPT-Micro: A large language paradigm for accelerated, inexpensive, and thermodynamics-consistent discovery of constitutive models in manufacturing Differentially Private Synthetic Data via APIs 4: Tabular Data Causal Semantic Alignment for LLM-based Time Series Forecasting Causal Agent Replay: Counterfactual Attribution for LLM-Agent Failures Mesh Graph Neural Network Framework for Accelerating Finite Element Simulation for Arbitrary Geometries On solving symmetric multi-type orthogonal non-negative matrix tri-factorization problem QueryWeaver: Reliable Multi-Tool Query Execution Planning via LLM-Based Graph Generation GeoGNN: Time Series Geo-Localization using Two-Tower Graph Neural Networks Towards Graph Foundation Models for Dynamics in Complex Networked Systems: Lessons from Super-Spreader Identification in Multilayer Networks Fourier fractal dimension to predict the generalization of deep neural networks Where the Score Lives: A Wavelet View of Diffusion Orthogonality and Dimensionality in Airline Cluster Analysis using PCA and Kernel PCA GENERIC-FNO: Embedding Energy Conservation and Entropy Production into Fourier Neural Operators Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Pre-Intervention Prediction of Sparse Autoencoder Steering Side Effects An Information-Theoretic Definition for Open-Ended Learning Few-step Cofolding with All-Atom Flow Maps RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations STAR-KV: Low-Rank KV Cache Compression via Soft Thresholding for Adaptive Rank Control The Spectral Dynamics and Noise Geometry of Muon When Are Neural Interaction Discoveries Real? Identifiability, Recoverability, and a Pre-Fit Diagnostic Provably Efficient Personalized Multi-Objective Bandits with Proactive Conversational Queries Sparrow: Sparse Rollout for Stable and Efficient Long-context RL of Large Language Models Not Just After One: Sleep-Inspired Replay Prevents Catastrophic Forgetting After Sequential Tasks Theoretical Foundations of Continual Learning via Drift-Plus-Penalty Beyond Linear Activation Steering: Invertible Latent Transformations for Controlling LLM Behavior The Confidence Trap: Calibration Attacks for Graph Neural Networks Physically Consistent Null Space Alignment for Detection of Low-Magnitude False Data Injection Attacks Inferring hidden forcing in a biological oscillator using Kolmogorov-Arnold networks Adaptive Loss Balancing for Noise-Robust GRPO in Generative Recommendation PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems STELLAR: Spatio-Temporal Environmental Learning with Latent Alignment and Refinement for Long-Tailed Species Distribution Modeling A Joint Finite-Sample Certificate for Adaptive Selective Conformal Risk Control Autonomous Aerial Manipulation via Contextual Contrastive Meta Reinforcement Learning Routine laboratory trajectories encode the onset of organ-level complications in cancer A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Physics-Guided Dual Decoding and Spectral Supervision for Global 3D Hydrometeor Prediction EinSort: Sorting is All We Need for Tensorizing LLM Titans-as-a-Layer: Test-Time Memory for Conversational Speech Emotion Recognition OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model? A spectral audit framework reveals task-dependent aperiodic reliance across EEG and ECG deep learning Convolutional Sparse Coding via the Locally Competitive Algorithm on Loihi 2 Quantum Global Variational Learning for Quantum Error Correction How Much Capacity Does EEG Denoising Need? Ultra-Compact Networks reveal Benchmark Saturation and Metric-Utility Gap Reinforcement Learning for Flow-Matching Policies with Density Transport Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting SpectrumKV: Per-Token Mixed-Precision KV Cache Transfer for Prefill-Decode Disaggregated LLM Serving Operator learning for the 2D incompressible Navier-Stokes equations: a conformal prediction approach in the data-scarce regime SkillHone: A Harness for Continual Agent Skill Evolution Through Persistent Decision History Activation Steering Induces Emergent Misalignment: A More Comprehensive Evaluation Hierarchical Projection for Adaptive Knowledge Transfer Agentic Search for Counterfactual Recourse under Fixed LLM Budgets SNR-ST-Mix: Sample-specific Neighborhood Regression Mixup for Augmented Spatial Transcriptomics Imputation with Deep Neural Network Deep Active Re-Labeling: Toward Noise-Resilient Annotation Efficiency A Geometric Measure of Linear Separability for Neural Representations Declarative Outcome-Conformant Synthesis: Exact, Closed-Form Specification Satisfaction and a Conformance Benchmark Understanding the Parameter Space Geometry of Transformers Encoding Boolean Functions How Many Counterfactuals Does It Take? Probing VLM Hallucinations Through Circuits and Causal Effects Reformulate LLM Reinforcement Learning for Efficient Training under Black-box Discrepancy Scaling Decision-Focused Learning to Large Problems with Lagrangian Decomposition Active Flow Expansion for Out-of-Distribution Discovery: from Theory to Molecules Knowledge Graphs and Reasoning LLMs for Finding Simple Yet Effective Transcriptomic Perturbation Predictors Intrinsic Selection and Particle Resampling for Inference-Time Scaling Beyond Domain Verifiability sGPO: Trading Inference FLOPs for Training Efficiency in RLVR Diffuse AI Control on Fuzzy Tasks Cheap Reward Hacking Detection Synthetic but Not Realistic: The Evaluation Challenge in Generative Modelling for Structured Electronic Medical Records Generalized Rank-based Evaluation for Knowledge Graph Completion: Perspectives, Framework, and Analyses PROBE-Web: An Interactive System for Probing Evaluation Landscapes of Knowledge Graph Completion Models Backward Coherence and Hidden-State Stability in Recurrent Neural Networks: A Quasi-Reverse-Martingale Theory PAI: Preserving Amplitude Information in Representation-Based Time-Series Anomaly Detection From Hazard Functions to Language Space: Cox-Supervised Distillation of Survival Risk into a Large Language Model Self-Consistent Generative Paths via Admissible Random Variational Transport From inverse problems to neural operators: prediction, mechanism, and generalization of data-driven models C$^3$ache: Accelerating World Action Models with Cross Inference Chunk Cache Online Learning with Recency: Algorithms for Sliding-window Streaming Multi-armed Bandits Heterophily-Aware Adaptive Knowledge Distillation for Hypergraph Neural Networks Beyond Neural Collapse: Task-Intrinsic Geometry Governs Neural Representations in Modular Arithmetic LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization Understanding Quantization-Aware Training: Gradients at Quantized Weights Bias to the Low-Loss Basin Structural Grid Descriptors Predict Within-Task Solver Success on ARC-AGI TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs DynaCF: Mitigating Shortcut Learning in Reward Models via Dynamic Counterfactual Sensitivity Decoy-Calibrated Failure Audits for Language Models Beyond Convolution: Advancing Hypergraph Neural Networks with Hypergraph U-Nets INFUSER: Influence-Guided Self-Evolution Improves Reasoning Stage-1 Controls the Entropy Regime, Not the Outcome OnlyDense: Reduced-Order Modeling for Lagrangian simulation A Unifying Lens on Reward Uncertainty in RLHF Neural Legendre-Fenchel transform with Hessian Preconditioning The Hidden Bias of Process Reward Models:PRISM for Rewarding the Right Reasoning FlashMemory-DeepSeek-V4: Lightning Index Ultra-Long Context via Lookahead Sparse Attention Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Stabilizing On-Policy Distillation for MLLM Reasoning with Global Normalization From Shortcuts to Reasoning: Robust Post-Training of Theory of Mind with Reinforcement Learning Addressing Market Regime Changes and Heavy-Tailed Returns in Portfolio Optimization via Bayesian VAR and Elliptical Black-Litterman Hybridizing Equilibrium Propagation with Ising Machines for Efficient Energy-Based Learning Counterfactual Transport Flows for Offline Conservative Trajectory Refinement Optimizing Energy-based Neural Network Training with Coherent Ising Machine Claw-R1: A Step-Level Data Middleware System for Agentic Reinforcement Learning Improved Convergence Analysis of Topology Dependence in Decentralized SGD Crop Recommendation and Agricultural Query Answering System Using Spatio-Temporal Graph Neural Networks and Hybrid Retrieval Augmentation CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Asymptotic Optimality of Thompson Sampling for Risk-Averse Bandits with Sub-Gaussian Rewards The Injection Paradox: Brand-Level Suppression in Safety-Trained LLM Recommendations via RAG Context Injection Orange Lab: Lowering Barriers to Data Mining through Embedded Interactive Workflows BSTabDiff: Block-Subunit Diffusion Priors for High-Dimensional Tabular Data Generation ERBench: A Benchmark and Testsuite for Equation Discovery Algorithms Internalizing Geometric Law: Learning from Solver Residuals for Precision-Critical Generation Trajectory Geometry of Transformer Representations Across Layers Intention Driven Identification of In-Possession Match Phases in Association Football through Temporal Graph Learning PRISM: Topology-Aware Cross-Modal Imputation for Modality-Deficient Federated Graph Learning Toward Compiler World Models: Learning Latent Dynamics for Efficient Tensor Program Search Machine-Learning Emulation of Satellite Greenhouse Gas Retrievals: Stability over Time A Universal Dense Football Event Representation Based on TabTransformer Thresholded Local Hyper-Flow Diffusion PBSD: Privileged Bayesian Self-Distillation for Long-Horizon Credit Assignment Scaling Neural Network Verification with Tensor Parallelism and Fully Sharded Data Parallelism Reasoning Arena: Trace Tournaments When Verifiable Rewards Fall Short Distilling Safe LLM Systems via Soft Prompts for On Device Settings Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models LargeMonitor: Monitoring Online Task-Free Continual Learning via Large Pretrained Models Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems Operator learning for solving Fokker-Planck equations with various initial conditions Breaking the Tokenizer Barrier: On-Policy Distillation across Model Families Escaping the KL Agreement Trap in On-Policy Distillation Loss-Guided Adaptive Scale Refinement for Molecular Force Prediction BUDDY: BUdget-Driven DYnamic Depth Routing for Adaptive Large Language Model Inference Investigating Calibration Challenges in Probabilistic Electricity Price Forecasting Efficient Traffic Prediction at Scale: A Systematic Study of STGCN Architectural Depth Safe-RULE: Safe Reinforcement UnLEarning On Choosing the $\mu$ Parameter in Gaussian Differential Privacy Assessing Sample Quality in Conditional Generation under Compositional Shift Closure-Validated Circuit Discovery in Attention Heads: Co-activation Proposes, Ablation Disposes Constrained user-item allocation for e-commerce marketing campaigns Data-driven discovery of governing differential equations across physical systems A Unifying Framework for Concept-Based Representational Similarity Muon Learns More Robust and Transferable Features than Adam In-Context Learning for Latent Space Bayesian Optimization Algorithm for Contextual Queueing Bandits with Rate-Optimal Queue Length Regret Transition-Based Digital Twin Modelling for Alzheimer's Disease under Sparse Longitudinal Data AutoMegaKernel: A Statically-Checked Agent Harness for Self-Retargeting Megakernel Synthesis When Do Local Score Models Extrapolate Across Size? A Diagnostic Theory and Benchmark BrainSurgery: Reproducible and Reliable Declarative Weight Manipulations for Model Editing and Upcycling Evaluating the Representation Space of Diffusion Models via Self-Supervised Principles Disentanglement with Holographic Reduced Representations Tight Sample Complexity of Transformers Learning Dynamics Reveal a Hierarchy of Weight-Induced Layerwise Gram Metrics Perturbative Contrastive Physical Learning Preserving Plasticity in Continual Learning via Dynamical Isometry iOSWorld: A Benchmark for Personally Intelligent Phone Agents Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Bandits for Efficient Experimentation: Adapting to Control Group, Preferences, and Context Drifts Topological Neural Operators Rethinking the Divergence Regularization in LLM RL An Agency-Transferring Model-Free Policy Enhancement Technique TinyJudge: Unverifiable Constraint Alignment via Lightweight Specialist Ensembles Community-Specific Slang and Entity Detection via Semantic Shift in Fine-Tuned Language Models Post-training is (Massive) Supervised Learning BEACON: Behavioral Entropy Aggregation for Cross-Model Hallucination Detection in Large Language Models CAPruner: Conceptual-Adjacent Scene Graph Pruner for Enhancing 3D Spatial Reasoning of Large Language Models Beyond Item IDs: Scaling Short-Form-Video Recommendation via Semantic-Native Long Sequence Modeling Symbolic Reasoning Frameworks Modulate LLM Risk Aversion in Multi-Agent Strategic Settings Priors Persist Through Suppression: A Stroop Paradigm for Lexical Override Function-Vector Heads Are Two Populations: Writers and Cancellers in In-Context Learning A Systematic Study of Behavioral Cloning for Scientific Data Annotation Can LLMs extract scientific consensus? A case study in high-temperature superconductivity Forecasting Japanese elections: A nonlinear machine-learning approach Accelerating Birkhoff Projection for Manifold-Constrained Hyper-Connections Forward-Looking Stress Testing Under Macro Scenarios: Stable SVaR Estimation Using a Hybrid GPR-HS Framework with SACS Quantifying Uncertainty in Space Debris Capture with Active Tether-Net Systems Caused by Noisy Observations Information-Geometric Optimization on Spheres Syll: Open-Source Personal Automation with Cross-Surface Execution Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Benchmark Contamination, Convention Mismatch, and an Honest Baseline at 25.6% WER (13.8% cWER) MIRAGE: Metadata-Integrated Repository Analysis and Guided Enhancement for MSR Datasets Position: Anthropomorphic Misalignment Research Needs Stronger Evidence SENTRY: Statistical Reliability Analysis of Vision Transformers Under Soft Errors No Free Lunch for Synthetic Images under Data Scarcity Conditions Steer Where It Matters: Token-Level Visual-Sensitivity Steering for LVLMs Hallucination Mitigation SC3: The Multi-Solvent Solubility Challenge and Benchmark QDS-SNN: Energy-efficient Quantum Deeply-Supervised Spiking Neural Network Algorithm for Traffic Sign Recognition What neurosurgeons need to see: synthetic intra-operative MRI from ultrasound for brain-shift compensation in brain tumour surgery Need We Teach Foundation Models What is a Generative Image? Gradient-Free Generative Artifact Detection via Analytic Spectral Adaptation Hardware-aware Low-latency Quantum Compilation with Data-driven Lightweight Error Detection for Early Fault-Tolerant Systems A Hierarchical Feature Engineering Framework for Automated Classification of Phonotraumatic and Non-Phonotraumatic Vocal Hyperfunction The Need for Neural ISP in the Small-Pixel Era: How Shrinking Pixels Push Optics to the Limit and Neural Restoration Pushes Back Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference TRACER: Token ReAssignment for Concept ERasure in Generative Recommendation Transfer learning for causal forest SHIELD-IDS: Structurally Heterogeneous Ensemble with Integrated Layered Defense for Intrusion Detection Systems A case study of evaluating AI agents on a neuroscience data-to-discovery pipeline Why Limit the Residual Stream to Layers and Not Tokens? Persistent Memory for Continuous Latent Reasoning GNSS-FM: A Self-Supervised Foundation Model for Daily GNSS Displacement Time Series Land cover and flood type govern the detection limits of satellite-based flood mapping across diverse global flood events Non-Archimedean Polydisc Spaces and Applications to Optimisation MOLOT System Card: Malicious Operational Logic Observation Transformer Reconstructing and forecasting disease trajectories of patients with Alzheimer's disease using routine data in resource-constrained settings SLMJury: Can Small Language Models Judge as Well as Large Ones? Joint Structural Pruning and Mixed-Precision Quantization for LLM Compression The ACUTE Protocol: Operationalizing Language Model Activations for Better Calibration, Utility, and Trust Large-scale empirical tuning and comparison of default optimizers for variational inference RACT: Retrieval Augmented Column-Table Learning and Prediction for Multi-Table Schema Matching GRPO Does Not Close the Multi-Agent Coordination Gap Identifiability and Estimation for Unlabeled Finite Mixtures under Marginal Independence Larch: Learned Query Optimization for Semantic Predicates Decoupling Semantics and Logic: A Training-Free Coarse-to-Fine Pipeline for Video Retrieval-Augmented Generation Barycentric Projections of Optimal Transport Plans on Riemannian Manifolds Pointwise Complexity for Gaussian Fields: Upper Envelopes, Algorithmic Lower Bounds, and Separation From `May' to `Is': Certainty Distortion in Language Model Rewriting Variational Proximal Policy Optimization Balancing Real and Synthetic Data for CNN-based Masonry Crack Detection OSMGraphCLIP: Learning Global Location Representations from OpenStreetMap Graphs How Small Can You Go? LoRA Fine-Tuning 270M-8B Models for Merchant Information Extraction in Financial Transactions vla.cpp: A Unified Inference Runtime for Vision-Language-Action Models When Does Delegation Beat Majority? A Delegation-Based Aggregator for Multi-Sample LLM Inference New Fractional Ambiguity Function Integrated with CNN-Based Machine Learning for Signal Classification Phase Marginalization for Patch-Grid Instability in Vision Transformers Biological Reasoning-Informed Regression for Interpretable Regulatory DNA Activity Prediction Inverse design of bespoke interatomic potentials via active learning by information-matching CLASP: Language-Driven Robot Skill Selection and Composition using Task-Parameterized Learning AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation Differentially Private Range Subgraph Counting Latent Structural Categorical Matrix Completion with Application to Quasispecies Analysis Beyond Additivity: Causal Discovery in Location-Scale Noise Models with Hidden Variables Online Agent-as-a-Judge: Situation-Generating Evaluation for Interactive Agents Vector Space of Cycles Stable and Scalable Probabilistic Numerical Solvers for Stiff and High-Dimensional ODEs SegmentAnyTreeV2: Scaling Transformer-Based Tree Instance Segmentation Across Sensors, Platforms, and Forests Post-Rejection Follow-up Sampling: A Methodology for Counterfactual Outcome Measurement in Algorithmic DEX Trading Shared Semantics, Divergent Mechanisms: Unsupervised Feature Discovery by Aligning Semantics and Mechanisms AeroSpectra Sentinel: An Auditable LLM Prompt-Chaining Decision-Support Workflow for Acute Asthma Risk Assessment from Respiratory Sounds and Clinical Signals Disturbance-Aware Aerial Robotics for Ethical Wildlife Monitoring Mind Your Steps: A General Learning Framework for Accurate Humanoid Foothold Tracking MS-COOT: Comparing Morse-Smale Complexes with Co-Optimal Transport QnRL: Quantum-Native Reinforcement Learning Revisiting the shutdown problem MEC-Cox: Machine-Learning-Assisted Generalized Entropy Calibration for ATT Marginal Hazard-Ratio Estimation Chiaroscuro Attention: Spending Compute in the Dark Benchmarking Open-Ended Multi-Agent Coordination in Language Agents CATPO: Critique-Augmented Tree Policy Optimization Tensorizing Engram: Sharing Latents Across N-Gram Embeddings is Beneficial in LLMs SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC) Predictive Coding with Bayesian Priors via Proximal Gradients TT-DAC-PS: Twin-Target Deterministic Actor-Critic with Policy Smoothing for Optimal Trade Execution Improving Bayesian Optimization via Training-Aware Conditional Diffusion Models LOTTERY: Learning from Reference-Only Samples in Two-Sample Testing under Size Asymmetry Querying Counterfactuals on Tissue Graphs with Supervised Disentanglement SAEExplainer: Interpreting SAE Features with Activation-Guided Preference Optimization Towards End to End Motion Planning and Execution for Autonomous Underwater Vehicles Using Reinforcement Learning Scaffold Effects on GAIA: A Controlled Comparison Calibration of Structured Ignorance Certificates for Diagnosing Unknown Unknowns in Reasoning Models Improving the sharpness in neural network-based parametric post-processing of ensemble forecasts Bayesian Optimization of a Multi-Product Chemical Reactor Using Composite Models and Partial Physics Knowledge Towards Long-Horizon Vessel Trajectory and Destination Forecasting with Reasoning Large Language Models Parameter Tuning with Generalization Guarantees for GPU-Accelerated Linear Programming FiberTune: Preserving Action-Fiber Visual Residuals in Vision-Language-Action Fine-Tuning A Comparison of SSL-Based Feature Extractors and Back-End Classifiers for Spoofing Detection: A Multi-Corpus Training and Cross-Linguistic Analysis Learning to Solve Generative ODEs Beyond the Linear Span Speaker-Invariant Representation Learning for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck Rank Intervals for Leaderboards: A Hierarchical Framework for Model Evaluation Discovering and decoding latent mean-field structure with variational autoencoders Hybrid Neural Network and Conventional Controller Approach for Robust Control of Highly Unstable Systems: Application to Tilt-Rotor Control Compositional Approximation Can Strictly Outperform Superpositional Approximation Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery IR-SIM: A Lightweight Skill-Native Simulator for Navigation, Learning, and Benchmarking TeamHerald@CHIPSAL 2026: Hate Speech Detection and Sentiment Analysis of Nepali Memes using Transformer-based Architectures and Ensemble Learning OptMuon: Closed-Loop Orthogonalized Momentum Methods for Stochastic Optimization with Zero-Noise Optimality Generalization in Nonlinear Least Squares via Learned Feature Geometry Q-Delta: Beyond Key-Value Associative State Evolution Continuous Language Diffusion as a Decoder-Interface Problem Aperon Technical Report: Hierarchical No-Pointer Tangent-Local Search for High-Dimensional Approximate Nearest Neighbors STAR: Rethinking MoE Routing as Structure-Aware Subspace Learning Momentum for Reasoning: Dense Intrinsic Signals in Policy Optimization From A to B to A: Palindromic Zero-Shot Voice Conversion with Non-Parallel Data BLM-SGAN: Bidirectional Language Modeling for Semantic-Spatial Text-to-Image Generation CHROMA: Detecting AI-Generated Images through Inter-Channel Color-Space Correlations Fourier Neural Operators with rank-1 lattice points and hyperbolic cross Few-shot Class-variable Incremental Audio Classification via Prototype Adaptation and Pseudo Class-variable Training Oversight Has a Capacity: Calibrating Agent Guards to a Subjective, Fatiguing Human Estimate Collapsibility of Causal Effects in Completed Partial DAGs via Strong d-Convex Hulls Hardening Agent Benchmarks with Adversarial Hacker-Fixer Loops A systematic investigation of molecular encoding methods for drug property predictions across neural network and Transformer encoder-based model Structure-Aware Modeling of Multiple-Choice Questions Improves Automatic Difficulty Estimation Multi-Armed Bandits with Arriving Arms: Sequential Screening, Dynamic Regret, and Sublinear Guarantees Families of Control-Cost-Parametrized Inverse-Optimal Universal Stabilizers Data augmented bootstrap: Unifying confidence interval construction by approximate invariance MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation Alcmean's: Unsupervised community detection using local Laplacian, automatic detection of the number of centers RAM: Reachability Across Morphologies Driving Video Retrieval for Complex Queries with Structured Grounding Late-Layer Fusion is Enough: Dual-Path Vision Token Routing for Multimodal Large Language Models under Visual Saturation Counterfactual Reasoning for Fine-Grained Evidence Disentanglement in VideoQA SNN-MLIR: An MLIR Dialect for Compiling Neuromorphic SNNs from NIR to Bare-Metal C Multi-View Speech Representation Learning for Parkinson's Disease Detection Using Context-guided Cross-modal Attention SG-OPD: Sign-Gated On-Policy Distillation via Sign-Consistency Gating and Phased Teacher Sampling Conan-embedding-v3: Fusing Modality-Specific Models for Omni-Modal Embedding Zero-Shot Semantic Re-Identification for Autonomous Driving: A VLM Baseline Study PriFT: Prior-Support Guided Supervised Fine-Tuning SAILS: Surrogate-based Analysis of Interactions via Local Effect Smooths Correct Looks Better: Pairwise Comparisons Reveal Accuracy Rankings Now You (Still) See Me: Detecting Evasive Steganographic Payloads in LLMs Dense Force Estimation with an Event-based Optical Tactile Sensor Report the Floor: A Training-Free Conformal Interval Is a Mandatory Baseline for Probabilistic Time-Series Forecasting Emergent alignment and the projectability of ethical personas Automating the Expert Eye: A System-Agnostic Deep Learning Framework for Rare Event Discovery in Imbalanced Force Spectroscopy Streaming Interventions: Can Video Large Language Models Correct Mistakes as They Occur? Integrating gene regulatory priors into Transformer attention with scTransformer for interpretable scRNA-seq analysis PRISM: Recovering Instruction Sets from Language Model Activations Code Is More Than Text: Uncertainty Estimation for Code Generation ReCoVLA: VLM-Guided Reward Compilation for Failure Recovery in Vision-Language-Action Policies FMplex: Model Virtualization for Serving Extensible Foundation Models Do Video Foundation Models Understand Intuitive Physics? A Layerwise Probing Analysis End-to-End Context Compression at Scale Correlation Is Not Enough: Embedding Human Metadata for Individual Causal Discovery What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks Learning to Attack and Defend: Adaptive Red Teaming of Language Models via GRPO Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization Adaptive directional gradients for parameterised quantum circuits Hybrid Robustness Verification for Spatio-Temporal Neural Networks Multi-Turn Evaluation of Deep Research Agents Under Process-Level Feedback Your Model Already Knows: Attention-Guided Safety Filter for Vision-Language-Action Models Difference-Aware Retrieval Policies for Imitation Learning Data Synthesis and Parameter-Efficient Fine-Tuning for Low-Resource NMT: A Case Study on Q'eqchi' Mayan Discovering Functionally Selective Brain Regions with a Deep Topographic Multimodal Model Echo-Memory: A Controlled Study of Memory in Action World Models Weighted universal approximation of differentiable maps on infinite-dimensional manifolds Learning from flowsheets: A generative transformer model for autocompletion of flowsheets TAMUNA: Doubly Accelerated Distributed Optimization under Partial Participation Deep reinforcement learning for process design: Review and perspective Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Toward autocorrection of chemical process flowsheets using large language models Generalization Error Curves for Analytic Spectral Algorithms under Power-law Decay The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes Investigating the Histogram Loss in Regression Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape Mean Teacher based SSL Framework for Indoor Localization Using Wi-Fi RSSI Fingerprinting Federated Large Language Models: Current Progress and Future Directions Communication-Efficient Federated Learning under Dynamic Device Arrival and Departure: Convergence Analysis and Algorithm Design Discovering Data Structures: Nearest Neighbor Search and Beyond Modeling Stochastic Conditional Dynamics from Sparse Observations via Kernel-Stabilized Flow Matching Zero and Few Shot Load Forecasting with Large Language Models BlendServe: Optimizing Offline Inference for Auto-regressive Large Models with Resource-aware Batching Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder Adaptive Prior Selection in Gaussian Process Bandits with Thompson Sampling AccioScene: Compositional 3D Scene Generation via Graph Diffusion and Interaction-driven Critics In-Context Learning of Stochastic Differential Equations with Foundation Inference Models phepy: Visual benchmarks and improvements for out-of-distribution detectors LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty Enhancing Strawberry Yield Forecasting with Backcasted IoT Sensor Data and Machine Learning LLMSynthor: Macro-Aligned Micro-Records Synthesis with Large Language Models SpectraLDS: Provable Distillation for Linear Dynamical Systems ePC: Fast and Deep Predictive Coding in Digital Simulation A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching Robust In-Context Reinforcement Learning Under Reward Poisoning Attacks Formalizing Learning from Language Feedback with Provable Guarantees The Sample Complexity of Parameter-Free Stochastic Convex Optimization Structural Decoupling: A Scaffold-Flow Theory of Generalization and Alignment How Reliable are Fairness Audits with Unreliable Data? Convergence Bound and Critical Batch Size of Muon Optimizer Learning Task Mixtures from Task Affinities: A Probabilistic Graphical Model for Supervised Fine-Tuning Are Two Datasets Close Enough With Statistical Significance? A Kernel Distributional Closeness Testing Approach Disjoint Generation of Synthetic Data Unsupervised Partner Design Enables Robust Ad-hoc Teamwork In-Context Reinforcement Learning via Communicative World Models Quantum latent distributions in deep generative models Causal Representation Learning from Network Data Decoupling the "What" and "Where" With Polar Coordinate Positional Embeddings Similarity-Distance-Magnitude Activations LiMuon: Light and Fast Muon Optimizer for Large Models Multi-resolution Enhancement for Full Spectrum Neural Representations MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Generation Properties of Stochastic Interpolation under Finite Training Set Interpretable Self-Supervised Learning via Representer Landmarks and Nystr\"om Approximation In-Context Learning of Temporal Point Processes with Foundation Inference Models Normality Calibration in Semi-supervised Graph Anomaly Detection VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Large Language Models for Imbalanced Classification: Diversity makes the difference Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization SmartMixed: A Two-Phase Training Strategy for Adaptive Activation Function Learning in Neural Networks Bulk-boundary decomposition of neural networks Benchmark Datasets for Lead-Lag Forecasting on Social Platforms Decomposable Neuro Symbolic Regression SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning Learning Quantized Continuous Controllers for Integer Hardware Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks Model-Based Learning of Whittle indices Self-Supervised Dynamical System Representations for Physiological Time-Series Differentiable Weightless Controllers: Learning Logic Circuits for Continuous Control SVRG and Beyond via Posterior Correction Observation-driven correction of numerical weather prediction for marine winds Developing Distance-Aware Physics-Constrained Probabilistic Frameworks for Industrial Prognostics Exposing Hidden Biases in Text-to-Image Models via Automated Prompt Search Token Sample Complexity of Attention FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives ATLAS: Verifier-Guided Adaptive Latent Activation Steering for Efficient LLM Reasoning IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation Revisiting Training Scale: An Empirical Study of Token Count, Power Consumption, and Parameter Efficiency MMR-GRPO: Accelerating GRPO-Style Training through Diversity-Aware Reward Reweighting Enhancing Spatial Reasoning in Large Language Models for Metal-Organic Frameworks Structure Prediction Lattice: A Confidence-Gated Hybrid System for Uncertainty-Aware Sequential Prediction with Behavioral Archetypes Towards Automated Kernel Generation in the Era of LLMs Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates Bellman Residual Minimization for Control: Geometry, Stationarity, and Convergence Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD) Nonparametric LLM Evaluation from Preference Data Latent Spherical Flow Policy for Reinforcement Learning with Combinatorial Actions Beyond Fixed Rounds: Data-Free Early Stopping for Practical Federated Learning UA-DCM: Uncertainty-aware Causal Decision Making via Effect Bound Decomposition Optimal Fair Aggregation of Crowdsourced Noisy Labels using Demographic Parity Constraints Your Self-Play Algorithm is Secretly an Adversarial Imitator: Understanding LLM Self-Play through the Lens of Imitation Learning Reward Shaping for (Inference-Time) Alignment: A Stackelberg Game Perspective The Label Horizon Paradox: Rethinking Supervision Targets in Financial Forecasting On the Superlinear Relationship between SGD Noise Covariance and Loss Landscape Curvature Variational Speculative Decoding: Rethinking Draft Training from Token Likelihood to Sequence Acceptance Foundation Inference Models for Ordinary Differential Equations A Graphop Analysis of Graph Neural Networks on Sparse Graphs: Generalization and Universal Approximation On the Complexity of Offline Reinforcement Learning with $Q^\star$-Approximation and Partial Coverage Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics Prescriptive Scaling Reveals the Evolution of Language Model Capabilities Operationalising the Superficial Alignment Hypothesis via Task Complexity Geometry-Aware Uncertainty Quantification via Conformal Prediction on Manifolds Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification Insertion Based Sequence Generation with Learnable Order Dynamics CTS-Bench: Benchmarking Graph Coarsening Trade-offs for GNNs in Clock Tree Synthesis POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation Integral Formulas for Vector Signal Tensor Products Graph-GRPO: Training Graph Flow Models with Reinforcement Learning RetroReasoner: A Reasoning LLM for Strategic Retrosynthesis Prediction CHIMERA-Bench: A Benchmark Dataset for Epitope-Specific Antibody Design GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation Vision Hopfield Memory Networks for Image Recognition Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model Stochastic Dimension Implicit Functional Projections for Global Integral Conservation in High-Dimensional PINNs Curvature-Guided LoRA: Matching Full Fine-Tuning in Function Space SPAMoE: Spectrum-Aware Hybrid Operator Framework for Full-Waveform Inversion Information-Theoretic Requirements for Gradient-Based Task Affinity Estimation in Multi-Task Learning Muon$^2$: Boosting Muon via Adaptive Second-Moment Preconditioning Models Know Their Shortcuts: Deployment-Time Shortcut Mitigation Capacity-Controlled Global Attention for Graph Transformers ML-Guided Primal Heuristics for Mixed Binary Quadratic Programs Advancing Ligand-based Virtual Screening and Molecular Generation with Pretrained Molecular Embedding Distance Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction Simple Self-Conditioning Adaptation for Masked Diffusion Models Hyper-Dimensional Fingerprints as Molecular Representations Label-Conditioned Cross-Modal Fusion for Adult-to-Pediatric ECG Transfer via Curriculum-Gated Contrastive Alignment Learning Behavioral Signals from Encrypted Smartphone Network Traffic Kernel Affine Hull Machines as Compute-Efficient Encoders for Frozen Semantic Spaces Neuron-Anchored Rule Extraction for Large Language Models via Contrastive Hierarchical Ablation Self-Mined Hardness for Safety Fine-Tuning Population-Aware Imitation Learning in Mean-field Games with Common Noise MinMax Recurrent Neural Cascades PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents Improving the Performance and Learning Stability of Parallelizable RNNs Designed for Ultra-Low Power Applications High-Rate Quantized Matrix Multiplication II Margin-Adaptive Confidence Ranking for Reliable LLM Judgement Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs FRWKV+: Periodic-Aware Adaptive Gating for Frequency-Space Linear Time Series Forecasting VQ-Atom: Semantic Discretization of Local Atomic Environments for Molecular Representation Learning LEAP: Learnable End-to-End Adaptive Pruning of Large Language Models Adaptive Generate-Rank-Verify: Inference-Time Search with Costly Verification Post-Trained MoE Can Skip Half Experts via Self-Distillation SPHERICAL KV: Angle-Domain Attention and Rate-Distortion Retention for Efficient Long-Context Inference Causal Unlearning in Collaborative Optimization: Exact and Approximate Influence Reversal under Adversarial Contributions Latent Cache Flow: Model-to-Model Communication Without Text Accelerating Divisible Load Processing Through Machine Learning: A Practical Framework for Large-Scale Workloads Learning to Evaluate: Cost-Effective Model Evaluation on Unlabeled Data with Meta-Learning Riemannian-Manifold Steering: Geometry-Aware Generative Autoencoders for Label-Free Steering Global Convergence of Wasserstein Policy Gradient for Entropy-Regularized Reinforcement Learning The Strongest Teacher Is Not Always the Best Teacher: Student-Centric Answer Selection Locality-Aware Redundancy Pruning for LLM Depth Compression Mechanistic origins of catastrophic forgetting: why RL preserves circuits better than SFT? Cycle-Space Informed Detection of Autoencoded Blind False Data Injection Attacks on Power Systems Midpoint Generative Models Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Cross-Layer Subspace Coupling for LLM Compression: A Unifying Framework and Its Empirical Limits SDM-Q: Cost-Aware Staged Decision-Making for Multi-Omics Classification with Deep Q-Learning Scalable Inference-Time Annealing with Surrogate Likelihood Estimators On the Recoverability of Causal Relations from Bulk Gene Expression Data Beyond Independent Manipulation: Individual Fairness-aware Strategic Classification with Peer Imitation When Hard Negatives Hurt: Bridging the Generative-Discriminative Gap in Hard Negative Synthesis for Retrieval Turning Back Without Forgetting: Selective Backward Refinement for Parameter-Efficient Continual Learning Flexible Online Representation Learning Based on Similarity Matching Local Preferential Bayesian Optimization Calibration Data Trade-offs Across Capability Dimensions: Why Multi-Source Mixing Matters for High-Sparsity LLM Pruning Position: Deployed Reinforcement Learning should be Continual An Empirical Audit of Input Encoders for Multi-Channel Signal Transformers The Right Measure for Physics-Constrained Generation: A Co-Area Correction for Posterior-Consistent PDE Inverse Problems Toward Multi-Domain and Long-Tailed Quantization via Feature Alignment and Scaling STaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models GOTabPFN: From Feature Ordering to Compact Tokenization for Tabular Foundation Models on High-Dimensional Data Field Validation of a Multi-Resolution ConvLSTM Framework for Retaining Wall Deformation Prediction Domain-Adapted Small Language Models with Hybrid Post-Processing: Achieving Cost-Efficient, Low-Latency Multi-Label Structured Prediction via LoRA Fine-Tuning on Scarce Data Causal Longitudinal Prior-Fitted Networks for Counterfactual Outcome Prediction OPRD: On-Policy Representation Distillation Multi-Scale Feature Attention Network for Polymer Classification Using Terahertz Spectroscopy RECAP: Regression Evaluation for Continual Adaptation of Prompts Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests Measuring a hate speech spectrum with faceted Rasch item response theory and perspective-aware, explainable-by-design deep learning SFILES 2.0: An extended text-based flowsheet representation Spectral Truncation Kernels: Noncommutativity in $C^*$-algebraic Kernel Machines Phase transition in large language models and the criticality of natural languages Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasets Strategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer IDEQ -- Improving Diffusion Models for the Traveling Salesman Problem (TSP) by Leveraging the Structure of the Solution Space Robust Random Graph Matching in Dense Graphs via an Approximate Message Passing Type Algorithm FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Dealing with Annotator Disagreement in Hate Speech Classification Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling Hyperflux: Pruning Reveals Importance Statistical Decision Theory with Counterfactual Loss Can Global XAI Methods Reveal Injected Behaviours in LLMs? SHAP vs Rule Extraction vs RuleSHAP On the Wasserstein Geodesic Principal Component Analysis of probability measures LARP: Learner-Agnostic Robust Data Prefiltering Disentangled Feature Importance Analysis of Information Theory for Explainable AI Locally Adaptive Conformal Inference for Operator Models A Survey on Deep Multi-Task Learning in Connected Autonomous Vehicles Decentralized Online Riemannian Optimization Beyond Hadamard Manifolds Video Understanding by Design: How Datasets Shape Video Models I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation Cryptographic Backdoor for Neural Networks: Boon and Bane Quantum feature-map learning with reduced resource overhead Projection and Quantisation: A Unifying View of Learning to Hash, from Random Projections to the RAG Era Mitigating Diffusion Model Hallucinations with Dynamic Guidance Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency Without Model Sweeps Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks PLAGUE: Plug-and-play framework for Lifelong Adaptive Generation of Multi-turn Exploits A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection The Value of Personalized Recommendations: Evidence from Netflix RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Correcting Mean Bias in Text Embeddings: A Refined Renormalization with Training-Free Improvements on MMTEB DHAuDS: A Dynamic and Heterogeneous Audio Benchmark for Test-Time Adaptation A Geometric Unification of Concept Learning with Concept Cones GenTSE: Enhancing Target Speaker Extraction via a Coarse-to-Fine Generative Language Model State Backdoor: Towards Stealthy Real-world Poisoning Attack on Vision-Language-Action Model in State Space Improving User Experience with Personalized Review Ranking and Summarization One if by Land, Two if by Sea, Three if by Four Seas, and More to Come -- Values of Perception, Prediction, Communication, and Common Sense in Decision Making Conditional Normalizing Flows for Forward and Backward Joint State and Parameter Estimation Multimodal Generative Engine Optimization: Rank Manipulation for Vision-Language Model Rankers The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models CURE: Curriculum-guided Multi-task Training for Reliable Anatomy Grounded Report Generation Learning to Optimize by Differentiable Programming Payoff scaling shapes cooperation in LLM agents across languages Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units Solving Inverse Problems with Flow-based Models via Model Predictive Control VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation DIVERGE: Diversity-Enhanced RAG for Open-Ended Information Seeking Zero-Flow Encoders Full-Batch Gradient Descent Outperforms One-Pass SGD: Sample Complexity Separation in Single-Index Learning TAME: A Trustworthy Test-Time Evolution of Agent Memory with Systematic Benchmarking Improved Analysis of the Accelerated Noisy Power Method with Applications to Decentralized PCA Performative Learning Theory Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity Optimizing Few-Step Generation with Adaptive Matching Distillation AMS-HD: Hyperdimensional Computing for Real-Time and Energy-Efficient Acute Mountain Sickness Detection Towards Personalized Bangla Book Recommendation: A Large-Scale Heterogeneous Book Graph Dataset Partial Identification under Missing Data Using Weak Shadow Variables from Pretrained Models Helpful to a Fault: Measuring Illicit Assistance in Multi-Turn, Multilingual LLM Agents Quantum Maximum Likelihood Prediction via Hilbert Space Embeddings Efficient Scaling of LLM Training with Flexible Context Parallelism 2-Step Agent: A Framework for the Interaction of a Decision Maker with AI Decision Support Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments CodeTaste: Can LLMs Generate Human-Level Code Refactorings? Generalizing Fair Top-$k$ Selection: An Integrative Approach RepoLaunch: Automating Build and Management of Code Repositories across Languages and Platforms Few Tokens, Big Leverage: Preserving Safety Alignment by Constraining Safety Tokens during Fine-tuning ReTabSyn: Realistic Tabular Data Synthesis via Reinforcement Learning A Machine Learning-Enhanced Hopf-Cole Formulation for Nonlinear Gas Flow in Porous Media An Alternative Trajectory for Generative AI Online Learning for Supervisory Switching Control Component Ablation for Efficient Hybrid Language Model Architectures: Performance, Resilience, and Compression Implications LLM Inference at the Edge: Mobile, NPU, and GPU Performance Efficiency Trade-offs Under Sustained Load MC-CPO: Mastery-Conditioned Constrained Policy Optimization for Pedagogically Safe Intelligent Tutoring Systems Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook Energy-Regularized Spatial Masking: A Novel Approach to Enhancing Robustness and Interpretability in Vision Models Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation Learning What's Real: Disentangling Signal and Measurement Artifacts in Multi-Sensor Data, with Applications to Astrophysics Medial Axis Aware Learning of Signed Distance Functions Bit-Flip Vulnerability of Shared KV-Cache Blocks in LLM Serving Systems Explainable AML Triage with LLMs: Evidence Retrieval and Counterfactual Checks Knee-xRAI: An Explainable AI Framework for Automatic Kellgren-Lawrence Grading of Knee Osteoarthritis Adversarial Robustness of NTK Neural Networks State-Dependent Lyapunov Analysis of Rank-1 Matrix Factorization CADFit: Precise Mesh-to-CAD Program Generation with Hybrid Optimization Anomaly-Preference Image Generation Sparse Memory Finetuning as a Low-Forgetting Alternative to LoRA and Full Finetuning APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Music Rethinking Local Learning: A Cheaper and Faster Recipe for LLM Post-Training ASH: Agents that Self-Hone via Embodied Learning ForcingDAS: Unified and Robust Data Assimilation via Diffusion Forcing SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland ANNEAL: Adapting LLM Agents via Governed Symbolic Patch Learning Diagnosing Multi-step Reasoning Failures in Black-box LLMs via Stepwise Confidence Attribution OpenCompass: A Universal Evaluation Platform for Large Language Models Lowering the Barrier to IREX Participation: Open-Source Algorithms, Toolkit, and Benchmarking for Iris Recognition Playing Devil's Advocate: Off-the-Shelf Persona Vectors Rival Targeted Steering for Sycophancy LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs How Many Tools Should an LLM Agent See? A Chance-Corrected Answer Polynomial Context-Truncation Sensitivity in Autoregressive Language Models: Sequential Wyner-Ziv Bounds for KV Cache Compression CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents Robust Koopman Control Barrier Filters for Safe Actor-Critic Reinforcement Learning Proper Calibeating Zero-shot Quantum Neural Architecture Search A Unified Structured Query Understanding Framework for Industrial Semantic Search Pruning and Distilling Mixture-of-Experts into Dense Language Models Privacy-Enhanced Zero-Order Federated Learning via xMK-CKKS over Wireless Channels Exploring Autonomous Agentic Data Engineering for Model Specialization Light Interaction: Training-Free Inference Acceleration for Interactive Video World Models Continuous Reasoning for Vision-Language-Action VESTA: Visual Exploration with Statistical Tool Agents Parameter-Free and Group Conditional Online Conformal Prediction MENTIS: What Belief Changes Under Alignment? Measuring Multi-Scale Latent Torsion in Language Models Towards Optimal Robustness in Learning-Augmented Paging ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RL Parameter-efficient Dual-encoder Architecture with Differentiable Choquet Integral Fusion for Underwater Acoustic Classification See Less, Specify More: Visual Evidence Budgets for Generalizable VLAs One Transit Is All You Need: Detecting Exoplanets Through Learned Stellar Behaviour with EXOVEIL Cosmos 3: Omnimodal World Models for Physical AI An Empirical Study of Data Scale, Model Complexity, and Input Modalities in Visual Generalization Trivium: Temporal Regret as a First-Class Objective for Causal-Memory Controllers Should Demand Models Incorporate Competitor Prices? Oblivious Learning and Algorithmic Collusion A Pre-Registered Causal Partition of Self-Consistency Elicitation and Reward Design in RLVR A Vision-language Framework for Comparative Reasoning in Radiology HANDOFF: Humanoid Agentic Task-Space Whole-Body Control via Distilled Complementary Teachers Characterizing the Impact of NVFP4 Quantization for Low-Power Edge AI Deployment ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning FLOWREADER: Min-Cost Flow Optimization for Multi-Modal Long Document Q&AArxiv cs.AI
PathoSage: Towards Multi-Source Evidence Adjudication in Pathology via Experience-Aware Agentic Workflow OmniMem: Perturbation-aware Memory Compression for Streaming Audio-Visual LLMs Syll: Open-Source Personal Automation with Cross-Surface Execution A case study of evaluating AI agents on a neuroscience data-to-discovery pipeline Why Limit the Residual Stream to Layers and Not Tokens? Persistent Memory for Continuous Latent Reasoning Automatic Extraction of Structured Information from Brain MRI Reports Using an Open-Weight Large Language Model Some hypotheses on how chatbots work in problem-solving-driven conversations. Large Language Models as confirmation of the Innovation Illusion Land cover and flood type govern the detection limits of satellite-based flood mapping across diverse global flood events Reconstructing and forecasting disease trajectories of patients with Alzheimer's disease using routine data in resource-constrained settings Improving Multimodal Reasoning via Worst Dimension Optimization Beyond Goodhart's Law: A Dynamic Benchmark for Evaluating Compliance in Multi-Agent Systems Where Instruction Hierarchy Breaks: Diagnosing and Repairing Failures in Reasoning Language Models Scaling Participation in Modular AI Systems Joint Structural Pruning and Mixed-Precision Quantization for LLM Compression Overcoming the Regulatory Bottleneck via Agent-to-Agent Protocols: A Nuclear Case Study Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators The AI Epistemic Deference Index: A Continuous Measure of Sycophancy Contract2Tool: Learning Preconditions and Effects for Reliable Tool-Augmented LLM Agents MemToolAgent overview with a simple restaurant booking scenario where the agent retrieves similar memories, receives feedback on an invalid time format, and generates a reflection to update its memory EditSR: Enhancing Neural Symbolic Regression via Edit-based Rectification The CIFAR Synthetic Evidence Corpus for Detecting AI-Generated Evidence Stress-testing medical large language models reveals latent safety pathology beyond benchmark accuracy Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines Shared Latent Structures Enable Unified Backdoor Detection and Mitigation in LLMs Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline PAFO: Pareto Fairness Optimization for Personalized Reward Modeling VATS: Exploiting Implicit Authority in Error-Path Injection via Systematic Mutation Efficient Skill Grounding via Code Refactoring with Small Language Models UniQL: Towards Dialect-Universal Benchmarking for Text-to-SQL OSMGraphCLIP: Learning Global Location Representations from OpenStreetMap Graphs SKILL.nb: Selective Formalization and Gated Execution for Durable Agent Workflows How Small Can You Go? LoRA Fine-Tuning 270M-8B Models for Merchant Information Extraction in Financial Transactions A Multi-modal Agentic Co-pilot for Evidence Grounded Computational Pathology When Does Delegation Beat Majority? A Delegation-Based Aggregator for Multi-Sample LLM Inference PACE: Anytime-Valid Acceptance Tests for Self-Evolving Agents Think Before You Act: Intention-Guided Reasoning for LLM-Based Location Prediction Cross-LLM Consistency in Inference: Evidence from Shared Interactions SAGE: An LLM-driven Self Reflective Agentic Framework for Fraud Detection Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents Online Agent-as-a-Judge: Situation-Generating Evaluation for Interactive Agents SciTrace: Trajectory-Aware Safety Reasoning for Scientific Discovery Agents When No Answer Is Correct: Diagnosing Absent Answer Detection for MLLMs in Video Understanding Traxia: A Framework for Verifiable, Agent-Native Scientific Publishing From Validator Selection to Portfolio Collection Optimization in Proof-of-Stake Blockchains Beyond Agent Architecture: Execution Assumptions and Reproducibility in LLM-Based Trading Systems Ablation-Reversible Heads Don't Transfer: A Stress Test for Mechanistic Role Claims in Transformers Revisiting the shutdown problem To Nuke or Not to Nuke: LLMs' (Missing) Ethical Reasoning and Actions in a High-Stakes Decision-Making Simulation Curation of a Cardiology Interface Terminology for Highlighting Electronic Health Records using Machine Learning Neuro-Symbolic Injection of LTLf Constraints in Autoregressive Reinforcement Learning Policies Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Benchmarking Open-Ended Multi-Agent Coordination in Language Agents TT-DAC-PS: Twin-Target Deterministic Actor-Critic with Policy Smoothing for Optimal Trade Execution Self-Evolving Scientific Agent Discovers Generalizable Physically-Reasoned Fluid Control Trajectory-Refined Distillation GIFT: LLM-Guided State-Reward Interface for Financial Reinforcement Learning A Variability-Based Framework for Interpretable Naming in Formal and Relational Concept Analysis Testing the Black Box: Structural Barriers to Independent Evaluation of Consumer-Facing Health LLMs What Makes a Desired Graph for Relational Deep Learning? Explaining Black-Box Language Models: Learning to Optimize Linguistically-Structured Word Subsets Standpoint Logics with Defeasible Beliefs Scaffold Effects on GAIA: A Controlled Comparison VESTA: A Fully Automated Scenario Generation and Safety Evaluation Framework for LLM Agents DN-Hypo-Pipeline: An AI-Driven Workflow for Hypothesis Generation via Large Language Models and Scientific Explanations AgentTrust: A Self-Improving Trust Layer for AI-Agent Actions PAEC: Position-Aware Entropy Calibration for LLM Reasoning in RLVR Quantitative Promise Theory: Intentionality and Inference in Autonomous Agents Distilling LLM Reasoning into an Interpretable Policy Tree for Human-AI Collaboration InA-Probe: Instruction-Aware Active Probing for Time Series Forecasting with LLMs Towards Long-Horizon Vessel Trajectory and Destination Forecasting with Reasoning Large Language Models Extending Ontologies: From Dense Embeddings to Hybrid Quantum-Fuzzy Systems ConMem: Structured Memory-Guided Adaptation in Training-Free Multi-Agent Systems Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery Structure-Conditioned Actor-Critic Branches for Quality-Diversity Reinforcement Learning RAILS: Verification-Native Clearing For Agentic Commerce Bridging Expert Knowledge and Automated Feature Engineering via Self-Evolution Q-Delta: Beyond Key-Value Associative State Evolution STAR: Rethinking MoE Routing as Structure-Aware Subspace Learning Momentum for Reasoning: Dense Intrinsic Signals in Policy Optimization Inference-Time Conformal Reasoning with Valid Factuality Control for Large Language Models Instrumental convergence and power-seeking Beyond Pass Rate: A Multilingual, Execution-Grounded Evaluation of Open Code LLMs ZIPP:Zero-shot Image Personalization from Personas A Resilience-as-a-Service assessment framework for coordinated disruption response in interdependent urban transit systems Hybrid E-Assessment in Higher Education: Semi-Automated Grading of Paper-Based Written Examinations Can the Environment Speak for Itself? $T^{2}$-GRPO: A Turn-Trajectory Group Relative Policy Optimization for Caregiver Agents FAME: Forecastability-Aware Mixture of Experts for Heterogeneous Time Series Forecasting Order Matters: Unveiling the Hidden Impact of Macro Placement Sequences via Proxy-Guided LLM Evolution Oversight Has a Capacity: Calibrating Agent Guards to a Subjective, Fatiguing Human AlloSpatial: Agentic Harness Framework for Spatial Reasoning in Foundation Models An Effective Router for Vision-Language Model Selection Diverse Thinking Schemata Elicit Better Reasoning in Large Language Models RTL-BenchLS: A Large-Scale Benchmark for RTL Reasoning and Generation with Large Language Models Baichuan-M4: A Clinical-Grade Medical Agent System for Continuous Care The Token Not Taken: Sampling, State, and the Variability of AI Agent Outputs LATTEArena: An Evaluation Framework for LLM-powered Tabular Feature Engineering (Extended Version) A Multi-Agent System for IPMSM Design Optimization via an FEA-AI Hybrid Approach Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs Agent Economics: An Entropy-Controlled Pluralistic Alignment Framework for Preventing Artificial Hivemind in Autonomous Agents REFLECT: Intervention-Supported Error Attribution for Silent Failures in LLM Agent Traces DynaOD: Dynamic Origin-Destination Flow Generation with Discrete-to-Continuous Temporal Semantic Modeling Graph2Idea:Retrieval-Augmented Scientific Idea Generation with Graph-Structured Contexts ComplexConstraints and Beyond: Expert Rubrics for RLVR A Regret Minimization Framework on Preference Learning in Large Language Models Late-Layer Fusion is Enough: Dual-Path Vision Token Routing for Multimodal Large Language Models under Visual Saturation Vision Language Model Helps Private Information De-Identification in Vision Data Reliable to Expressive: A Curriculum for Rubric-Following Safety Judges IMUG-Bench: Benchmarking Unified Multimodal Models on Interleaved Understanding and Generation MASS: Deep Research for Social Sciences with Memory-Augmented Social Simulation FF-JEPA: Long-Horizon Planning in World Models with Latent Planners Anything2Skill: Compiling External Knowledge into Reusable Skills for Agents TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders Leveraging Structural Constraints for Diffusion-based Neural TSP Solvers Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs From Coarse to Fine: Managing Temporal Granularity in Spatio-Temporal Data for Fine-Grained Traffic Prediction RunAgent SuperBrowser: A Theory of Autonomous Web Navigation Grounded in Human Browsing Behaviour Correct Looks Better: Pairwise Comparisons Reveal Accuracy Rankings Capacity, Not Format: Rethinking Structured Reasoning Failures WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces Bayesian Selective Latent Inference for Wastewater-First Influenza Monitoring SIFT: Selective-Index For Fast Compute of RAG Prefill by Exploiting Attention Invariance AliyunConsoleAgent: Training Web Agents in Real-World Cloud Environments via Distillation and Reinforcement Learning TheoremBench: Evaluating LLMs on Theorem Proving in Formal Mathematics Emergent alignment and the projectability of ethical personas LLM-Orchestrated Conformance Checking in Stroke Care Without Computer-Interpretable Guidelines Deterministic Integrity Gates for LLM-Assisted Clinical Manuscript Preparation: An Auditable Biomedical Informatics Architecture From Rigid to Dynamic: Entropy-Guided Adaptive Inference for Long-Context LLMs AI Scientists Are Only as Good as Their Evidence: A Stratified Ablation of Proprietary Data and Reasoning Skills in Drug-Asset Valuation PRISM: Recovering Instruction Sets from Language Model Activations Self-Explainability in Self-Adaptive and Self-Organising Systems: Status and Research Directions TABVERSE: Benchmarking Cross-Format Table Understanding in LLMs and VLMs Optical Reasoning: Rethinking Images as an Expressive Reasoning Medium Beyond Text Next-Token Prediction Learns Generalisable Representations of Sleep Physiology From 0-to-1 to 1-to-N: Reproducible Engineering Evidence for MetaAI Recursive Self-Design Frequency-based Constrained Sampling for Interval Patterns SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks Correlation Is Not Enough: Embedding Human Metadata for Individual Causal Discovery (Auto)formalization is supposed to be easy: Trellis process semantics for spelling out rigorous proofs Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization Beyond Probabilistic Similarity: Structural, Temporal, and Causal Limitations of Retrieval-Augmented Generation in the Legal Domain SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research Multi-Turn Evaluation of Deep Research Agents Under Process-Level Feedback Collaborative Human-Agent Protocol (CHAP) SIGA: Self-Evolving Coding-Agent Adapters for Scientific Simulation Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks Blockchain Infrastructure for Intelligent Cyber--Physical--Social Systems:Post-Quantum Security, Interoperability, and Trustworthy Data Economies in the Era of Embodied AI Bidirectional Small-Granularity Search between Code and Text Evaluating Hallucinations in Domain-Adapted Large Language Models Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding Implicit Causal Graph Construction in Text via Chain Discovery GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model Recommendation Post-training is (Massive) Supervised Learning BEACON: Behavioral Entropy Aggregation for Cross-Model Hallucination Detection in Large Language Models CAPruner: Conceptual-Adjacent Scene Graph Pruner for Enhancing 3D Spatial Reasoning of Large Language Models mllm-shap: A Shapley Value Explainability Platform for Text-Audio Multimodal Large Language Models Principled Agent Debate: Adversarial Arbitration for Sycophancy Reduction in Large Language Models Bridging Traditional Explainability Methods and Multimodal Multilingual Models: An XAI-Based Analysis Beware of GeeksBearing Gifts: Building True EU Frontier AI Sovereignty Bidirectional Semantic Complementary Tool Retrieval for Remote Sensing Agents Multimodal Large Language Models as Synthetic Participants in Video-Based Studies: An Evaluation DIYHealth Suite: Dataset, Model, and Benchmark for Health Management at Home Concerns and Strategic Responses of Older Workers Navigating Generative AI in Bridge Employment AI-Integrated Learning Management System for Middle School: A Longitudinal Study of Learning Outcomes Through High School and Beyond Beyond Item IDs: Scaling Short-Form-Video Recommendation via Semantic-Native Long Sequence Modeling Liberating LLM Capabilities in Full-Duplex Speech Models Evaluating Advanced Prompting on Gemini Flash for Multi-Hop Biomedical QA Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark Symbolic Reasoning Frameworks Modulate LLM Risk Aversion in Multi-Agent Strategic Settings MedicalRec: Medical recommender system for image classification without retraining Selecting New Measurement Locations to Diversify Traffic-Pattern Coverage: A Real-World Evaluation for Total Traffic Volume Estimation Page image classifier fine-tuned on century-spanning archives of scanned documents for further content-specific processing Phantom transitions in language model fine-tuning The Montparnasse Algorithm for RNA Design Emergence via Phase Transitions: Mechanism Landscapes and Universal Convergence Across Complex Systems Considerations for an Integrated Detector Design at FCC-ee: A Human-AI Exploration SurfDesign: Effective Protein Design on Molecular Surfaces A Systematic Study of Behavioral Cloning for Scientific Data Annotation Enabling KV Caching of Shared Prefix for Diffusion Language Models Accelerating Birkhoff Projection for Manifold-Constrained Hyper-Connections Training-Inference Kernel Contracts: Bounding Divergence in Post-Training and Deployment Customer Churn Prediction on Structured Data Using FT-Transformer and Stacking Ensembles Outage Detection in Self-Healing Smart Grids Using Reinforcement Learning with Spectral Graph Neural Networks Multimodal Group Emotion Recognition In-the-Wild Towards a Privacy-Safe Non-Individual Approach From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUs SlideCheck: Guiding Self-Supervised Pretraining of Pathology Foundation Models via Dataset Distributions ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research A Mechanistic Analysis of Adversarial Fine-tuning of Vision Transformers VisualLeakBench: Reproducible Action-Boundary Propagation Failures in Vision-Language Agents Repetition Mismatch: Why Data Mixture Experiments Don't Scale and How to Fix Them A Topological Characterization of Graph Neural Networks via Stochastic Block Model Embeddings on the n-Sphere DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression Reachability and asymptotics of Gaussian Transformer dynamics LFNO: Bridging Laplace and Fourier via Transient-Steady Decomposition Sample-Efficient Post-Training for LEGO Spatial-Physics Reasoning MetaEvo: A Meta-Optimization Framework for Experience-Driven Agent Evolution Contribution Weights: A Geometrical Analysis of Self-Attention Transformers SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Benchmark Contamination, Convention Mismatch, and an Honest Baseline at 25.6% WER (13.8% cWER) LEAF: Growing Trees Without Branching for Speech-Aware Large Language Model Post-Training MIRAGE: Metadata-Integrated Repository Analysis and Guided Enhancement for MSR Datasets Position: Anthropomorphic Misalignment Research Needs Stronger Evidence Can You Trust What You See? Human and AI Detection of Synthetic Legal Evidence Structured Neuron Pruning in Deep Neural Networks Using Multi-Armed Bandits Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation Query Lens: Interpreting Sparse Key-Value Features with Indirect Effects ScaleSweep: Accurate NVFP4 Post-Training Quantization of LLMs via Block Scale Initialization SENTRY: Statistical Reliability Analysis of Vision Transformers Under Soft Errors HASA: Subnet Allocation for Compute-Constrained Model-Heterogeneous Federated Learning Eyes All Around: Design and Analysis of 360-Degree LiDAR Perception Using Equivariant Feature Learning in Unstructured Traffic Large Language Models Should Learn Personalized Rather Than Aggregated Human Preferences Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance Trait-space Monitoring for Emergent Misalignment During Supervised Finetuning AMN: An Adaptive Multi-Scale Fusion Network with Boundary and Uncertainty Modeling for Nuclei Segmentation NeuroAlign: Hierarchical Multimodal Fusion of Dynamic and Structural Neuroimaging for MCI Analysis Anchor-Conditioned Compositional Control for Landscape Image Generation MOSS-Video-Preview: Toward Real-Time Video Understanding via Cross-Attention No Free Lunch for Synthetic Images under Data Scarcity Conditions AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs FineGen: A VLM-based Multi-Agent Framework for Fine-Grained Image-Text Dataset Construction DOME: Learning Transferable Domain Variables from Sparse Supervision for Test-Time Adaptation AQIFormer: A Transformer-Based Multi-View Architecture for Cross-City Air Quality Classification ViMax: Agentic Video Generation A Dataset for Dynamic Human Preferences for Vision Language Models MM-Matryoshka: Towards Budget-Elastic Visual Document Retrieval via a 2D Multimodal Matryoshka Training Framework Seq103: A Unified Neuroevolution Framework for Compact Sequence Architecture Discovery AgentCompile: An LLM-Guided Compiler for Direct CUDA Inference MemoVAD: Resource-Efficient Video Anomaly Detection via Dynamic Semantic Memory in Edge Computing Scenarios Liquid Neural Networks as a Drop-in Continuous-Time Deformation Field for Dynamic 3D Gaussian Splatting A Hierarchical Feature Engineering Framework for Automated Classification of Phonotraumatic and Non-Phonotraumatic Vocal Hyperfunction Single-Cell Cross-Modal Transfer by Adversarial Fine-Tuning of Foundation Models DOG-DPO:Dynamic Optimization in Geometry for Safety Alignment Systematic LLM Translation of Legacy Scientific Code to Differentiable Frameworks: Application to a Land Surface Model SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work? Semantic Cache Distillation: Efficient State Transfer via Reuse and Selective Patching Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments Knowledge-Inclusive Adaptive Physics-Informed Neural Network for Microbial Interaction Modelling What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction TRACER: Token ReAssignment for Concept ERasure in Generative Recommendation HARP: Efficient Data Selection for Finetuning Large Language Models BCG-FM: A Foundation Model for Ambient Cardiac Health Sensing DSFNet: Learning Dual-Domain Spectral Operators for Multi-Modality Spatio-Temporal Forecasting in Urban Transportation Systems Adversarial Robustness of Activation Steering in Large Language Models TianJi-Environ: An Autonomous AI Scientist for Atmospheric Environmental Research Pharmacogenomic Knowledge Graph Augmentation for Graph Neural Network-Based Drug-Drug Interaction Prediction EssentialGIN: a new approach for gene essentiality prediction based on graph isomorphism neural networks EvoCSFL: Surrogate-Assisted Evolutionary Client Selection for Efficient and Robust Federated Learning How Much Dense Attention is Necessary? Oracle-Guided Sparse Prefill for Full/GQA Layers in Hybrid Long-Context Models FunctionEvolve: Structure-Guided Symbolic Regression with LLMs SAW: Stage-Aware Dynamic Weighting for Multi-Objective Reinforcement Learning in Large Language Models MLingualFC: Evaluating Jailbreak Vulnerabilities in Multilingual Vision-Language Models Cross-View Urban Traffic Dataset: Drone-Supervised Ground Truth for Monocular Bird's-Eye View Localization WhiFlash: Accelerating Speculative Decoding with Token-Level Cross-Paradigm Routing Rosetta Memory: Adaptive Memory for Cross-LLM Agents MatMind: A Structure-Activity Knowledge-Driven Generative Foundation Model for Materials Science Attention at the Theoretical Minimum: A Mathematics of Arrays Framework for Memory-Optimal Transformer Kernels Beyond Accuracy: Interpreting Topic Representation in Suicide Ideation Detection Models SHIELD-IDS: Structurally Heterogeneous Ensemble with Integrated Layered Defense for Intrusion Detection Systems Multi-planar 2D-U-Net Segmentation of 3D-CT Abdominal Organs augmented by Spatial Occurrence Maps Quantum-Enhanced Similarity Measures for Polarimetric Materials Classification Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model Memetic Capture: A Pluralistic Policy Framework for Governing AI-Driven Cultural Disempowerment SLMJury: Can Small Language Models Judge as Well as Large Ones? The ACUTE Protocol: Operationalizing Language Model Activations for Better Calibration, Utility, and Trust Jas: AI-Paired Engineering as a Revival of N-Version Programming Beyond Pass/Fail: Using Process Mining to Understand How LLMs Resist (and Fail) Red Team Attacks Cherry-pick Override: Unsafe Directional Commitment in LLM Judges under Mixed Evidence Agentic multi-fidelity learning of quasiparticle and excitonic properties Does Persona Make LLMs K-pop Fans? A Pilot Study of LLM-Based Online Concert Audience Agents Cost-Aware Speculative Execution for LLM-Agent Workflows: An Integrated Five-Dimension Method Beyond English benchmarks: clinical llm evaluation in Brazilian Portuguese Model Multiplicity for Adversarial Detection in Small Language Model Training on Edge Devices The Last Visible Pixel: Probing Fine-Scale Perception in Vision-Language Models Instrumented data for causal scientific machine learning The Cross-Architecture Substrate: A Domain-Transcendent, Calibration-Surviving Geometric Invariant of Modern Vision Encoders Strained Coherence: A Pre-Failure Signal in Coding Agent Execution Trajectories 3D Oral Modelling with Improved Vertex Distribution Using Matching-Based Learning Larch: Learned Query Optimization for Semantic Predicates Decoupling Semantics and Logic: A Training-Free Coarse-to-Fine Pipeline for Video Retrieval-Augmented Generation Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation POISE: Position-Aware Undetectable Skill Injection on LLM Agents From `May' to `Is': Certainty Distortion in Language Model Rewriting Minibatch Selection via Partition Matroid Constrained Gradient Matching RecurGuard: Runtime Monitoring for Reasoning-Token Consumption Attacks Neutrality Bites: Gender Representation in AI-Generated Animal Stories Defending Against Malicious Finetuning by Scaling Train-time Adversarial Attacks PRISM: PRior-guided Imagination Sampling in world Models MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models Enhancing AI Interpretability and Safety through Localised Architectures Summarization is Not Dead Yet Rewrite to Translate, Translate to Reward: Reinforcement Learning for Source Rewriting in Machine Translation GVC-Seg: Training-Free 3D Instance Segmentation via Geometric Visual Correspondence IEA: Amateur-Friendly Conversational Image Editing Agent via Three Stages of Multitask Alignment Repair Before Veto, When Repair Is Hidden: Quantum-Accessible Features for Repair-Augmented Constraint Learning Semantic Quorum Assurance: Collective Certification for Non-Deterministic AI Infrastructure CausShield: Sample Reconstruction-Resilient Vertical FL via Causal Representation Learning Voting Protocols as Coordination Mechanisms for Role-Constrained Multi-Agent Tutoring Systems Sci-Rho: A Multilingual Visually-Grounded Symbolic Benchmark for STEM Problems GIScholarBench: Benchmarking LLM Overconfidence in GIS Research SafeECGMatch: Calibration-Aware Joint Frequency and Time Space Semi-Supervised Learning for Open-Set ECG Classification When Behavioral Safety Evaluation Fails: A Representation-Level Perspective What's the Point? Spatial Grammar & Index Resolution for Sign Language Processing EgoAERO: Learning Dexterous Manipulation from a Single Egocentric Video without Object Assets Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding? "I understand your perspective": LLM Persuasion and Sycophancy through the Lens of Communicative Action Theory Aligned but Not Partner-Specific: Distinguishing How Multimodal LLM Agents Succeed in Reference Games Without Human-Like Conventions Fast LLM-Based Semantic Filtering: From a Unified Framework to an Adaptive Two-Phase Method vla.cpp: A Unified Inference Runtime for Vision-Language-Action Models Continual Quadruped Robots Coordination via Semantic Skill Discovery Ego-Pi: VLA Fine-Tuning for Ego-Centric Human and Robot Data Human-Centered Benchmarking of Driver Monitoring Models LCAM: A Framework for Diagnosing Interactional Alignment Failures in Con-versational AI LogNEO: A GPT-Neo Reinforcement Learning Framework for Accurate Real-Time Log Anomaly Detection RAPID: Layer-Wise Redundancy-Aware Pruning and Importance-Driven Token Merging for Efficient ViT Constrained Paraphrase Consistency for LLM Hallucination Detection Explaining Data Mixing Scaling Laws Closing the Sim-to-Real Gap: An Evaluation Framework for Autonomous Cyber Defense Configuration of Commercial EDR CLASP: Language-Driven Robot Skill Selection and Composition using Task-Parameterized Learning The Governance of Human-LLM Interaction: Safety Gating, Civility Steering, and Affective Default Lock-In Frequency-Domain Latent Attention Gating for Cross-Domain Token Aggregation GlobeAudio: A Multilingual Multicultural Benchmark for Naturalistic Evaluation of Large Audio-Language Models Beyond Additivity: Causal Discovery in Location-Scale Noise Models with Hidden Variables How Deep Are Deep GPs, Really? A Sharp Threshold and a Non-Gaussian Limit for Compositional GPs AeroSpectra Sentinel: An Auditable LLM Prompt-Chaining Decision-Support Workflow for Acute Asthma Risk Assessment from Respiratory Sounds and Clinical Signals Contemporary AI lacks the imagination to diverge or negate in science Post-AGI Economies: Superposition and the Second Fundamental Theorem of Welfare Economics An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response AgriGov: A Structured Multilingual Dataset Curation for Indian Government Schemes for Farmers Causal Agent Replay: Counterfactual Attribution for LLM-Agent Failures "So There's a Catch-22 Here": How Early Adopters Who Build Multi-Agent LLM Systems Conceptualize Transparency Set-Based Transformer for Atmospheric Compensation in Standoff LWIR Hyperspectral Imaging Chiaroscuro Attention: Spending Compute in the Dark Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals Self-Supervised Vision Transformers for CBCT-Based Detection of Temporomandibular Joint Osteoarthritis Pre-Intervention Prediction of Sparse Autoencoder Steering Side Effects Emergence World: A Platform for Evaluating Long-Horizon Multi-Agent Autonomy An Information-Theoretic Definition for Open-Ended Learning RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations Auditing Proprietary Alignment in Large Language Models: A Comparative Framework Without a Ground-Truth Standard STAR-KV: Low-Rank KV Cache Compression via Soft Thresholding for Adaptive Rank Control Impacts of Histories and Models on LLM Grading: A Study in Advanced Software Engineering Courses SceneConductor: 3D Scene Generation from Single Image with Multi-Agent Orchestration Hiding in Plain Floats: Steganographic Carriers for Indirect Prompt and Content Injection TimpaTeks: Automatic In-place Text Sequence Modification via Diffusion Language Model Steering Provably Efficient Personalized Multi-Objective Bandits with Proactive Conversational Queries PACT: Self-Evolving Physical Safety Alignment for Diffusion Policies in Embodied Manipulation CoVEBench: Can Video Editing Models Handle Complex Instructions? Hacking Generative Perplexity: Why Unconditional Text Evaluation Needs Distributional Metrics AI Code Sandboxes: A Comparative Security Study. Part 1 of 2 -- Engine-Level Properties (Attack Surface, Leakage, Stackability, CVE History, Patch Cadence, Fuzzing) Segment-level Tree Search for Long Meeting Document Summarization Sparrow: Sparse Rollout for Stable and Efficient Long-context RL of Large Language Models Not Just After One: Sleep-Inspired Replay Prevents Catastrophic Forgetting After Sequential Tasks Sycophancy as a Multilingual Alignment Failure: How Safety Degrades Across Languages, Topics, and Models The Confidence Trap: Calibration Attacks for Graph Neural Networks More Yap Less Meaning: Uncovering Self-Improvement Behavior in SLMs FlashCP: Load-Balanced Communication-Efficient Context Parallelism for LLM Training Adaptive Loss Balancing for Noise-Robust GRPO in Generative Recommendation PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems STELLAR: Spatio-Temporal Environmental Learning with Latent Alignment and Refinement for Long-Tailed Species Distribution Modeling Seeing is Believing: Aligning Prompt Rewriting with Visual Anchors for Text-to-Image Generation Projecting the Emerging Mindset of SWE Agent by Launching a Wild Code Understanding Journey ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies GEAR-VLA: Learning Geometry-Aware Action Representations for Generalizable Robotic Manipulation When Video Misreads: Closed-Loop Distillation of Reading Heuristics for Exploratory Manipulation Trace QA EinSort: Sorting is All We Need for Tensorizing LLM Calibration of Structured Ignorance Certificates for Diagnosing Unknown Unknowns in Reasoning Models Auditable Graph-Guided Root Cause Analysis for Kubernetes Incidents Reinforcement Learning for Flow-Matching Policies with Density Transport HARBOR: A Harness Framework for Agentic Robot Reinforcement Learning Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting A retrieval conditioned rebinding circuit for dynamic entity tracking in large language models Sample-Efficient LLM-Based Detection of Malicious Web Server Logs with Forensically Explainable Reasoning Reconstructing Synthetic SDO/AIA 193 A EUV Images from He I 10830 A Observations with Diffusion Model Translator FiberTune: Preserving Action-Fiber Visual Residuals in Vision-Language-Action Fine-Tuning Latent Diffusion Policy: Shaping Latent Spaces for Diffusion-Based Robotic Manipulation Data Agents Under Attack: Vulnerabilities in LLM-Driven Analytical Systems BioVid: Autoregressive Video Generation with Biological Behavior Semantic Comprehension Lost in the Flow with Code Talkers: Unveiling the Instruction-Tuning Tax of Large Language Models in Code Tasks Activation Steering Induces Emergent Misalignment: A More Comprehensive Evaluation Agentic Search for Counterfactual Recourse under Fixed LLM Budgets Structuring agentic AI for HPC code modernization SNR-ST-Mix: Sample-specific Neighborhood Regression Mixup for Augmented Spatial Transcriptomics Imputation with Deep Neural Network Hybrid Neural Network and Conventional Controller Approach for Robust Control of Highly Unstable Systems: Application to Tilt-Rotor Control Deep Active Re-Labeling: Toward Noise-Resilient Annotation Efficiency APEX4: Efficient Pure W4A4 LLM Inference via Intra-SM Compute Rebalancing RadOT-Eval: Auditable Structured-Evidence Transport for Radiology Report Evaluation TeamHerald@CHIPSAL 2026: Hate Speech Detection and Sentiment Analysis of Nepali Memes using Transformer-based Architectures and Ensemble Learning Unifying Object-Centric World Models and Diffusion Policy: A Hierarchical Framework for Multi-Stage Robotic Tasks How Many Counterfactuals Does It Take? Probing VLM Hallucinations Through Circuits and Causal Effects Evaluating AI Investment Strategies AI-Augmented Closed-Loop Quality Engineering: A Reference Architecture for Continuous Software Quality Intelligence Scaling Decision-Focused Learning to Large Problems with Lagrangian Decomposition Governance Controls for AI-Generated Test Artifacts in Autonomous Software Testing Knowledge Graphs and Reasoning LLMs for Finding Simple Yet Effective Transcriptomic Perturbation Predictors BLM-SGAN: Bidirectional Language Modeling for Semantic-Spatial Text-to-Image Generation Intrinsic Selection and Particle Resampling for Inference-Time Scaling Beyond Domain Verifiability sGPO: Trading Inference FLOPs for Training Efficiency in RLVR Intelligent Character Recognition of Handwritten Forms with Deep Neural Networks Benchmarking Vision-Language-Action Models on SO-101: Failure and Recovery Analysis Cheap Reward Hacking Detection A multi-agent system for spine MRI report generation from multi-sequence imaging Few-shot Class-variable Incremental Audio Classification via Prototype Adaptation and Pseudo Class-variable Training Failure-Aware Refinement of Vision-Language Model for Lithography Defect Detection PolyBuild: An End-to-End Method for Polygonal Building Contour Extraction from High-Resolution Remote Sensing Images From Statute to Control Flow: Span-Grounded Deontic Trees for Defeasible Scope Parsing PAI: Preserving Amplitude Information in Representation-Based Time-Series Anomaly Detection Report on CHIIR 2026 Workshop on Generative AI and Academic Search (GAI&AS) PACT: Learning Diverse Diagnostic Strategies via Privileged Synthesis and Branch Consensus NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient Analysis Hardening Agent Benchmarks with Adversarial Hacker-Fixer Loops CARE: A Conformal Safety Layer for Medical Summarization SpaceVLN: A Zero-Shot Vision-and-Language Navigation Agent with Online Spatial Cognitive Memory and Reasoning Sustainability and Artificial Intelligence: Necessary, Challenging, and Promising Intersections Understanding Quantization-Aware Training: Gradients at Quantized Weights Bias to the Low-Loss Basin TLDR: Compressing Audio Tokens for Efficient Autoregressive Text-to-Speech SafeRun: Enabling Determinism in LLM Planning for Running ATM: Action-Consistency Transfer Matrix for Diagnosing and Improving Latent World Models TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs BareWave: Waveform-Native Flow-Matching Text-to-Speech INFUSER: Influence-Guided Self-Evolution Improves Reasoning Stage-1 Controls the Entropy Regime, Not the Outcome See More, Think Deeper: Query-Expanded Visual Evidence and Answer-Clue Guided Reflection for Long Video Understanding OnlyDense: Reduced-Order Modeling for Lagrangian simulation A Unifying Lens on Reward Uncertainty in RLHF FlashMemory-DeepSeek-V4: Lightning Index Ultra-Long Context via Lookahead Sparse Attention Context-Fractured Decomposition Attacks on Tool-Using LLM Agents: Exploiting Artifact Provenance Gaps Context Rot in AI-Assisted Software Development: Repurposing Documentation Consistency for AI Configuration Artifacts Addressing Market Regime Changes and Heavy-Tailed Returns in Portfolio Optimization via Bayesian VAR and Elliptical Black-Litterman Hybridizing Equilibrium Propagation with Ising Machines for Efficient Energy-Based Learning Optimizing Energy-based Neural Network Training with Coherent Ising Machine Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations An Enhanced Geometric-Spectral Feature Learning Framework for Airborne Multispectral Point Cloud Classification Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges From USD Scenes to Knowledge Graphs: Zero-Shot Ontology Grounding with LLMs Steganography Without Modification: Hidden Communication via LLM Seeds Decoding Pedestrian Crossing Intention from Egocentric Vision via Vision Language Models SEF-CLGC at SemEval-2026 Task 11: Logical Notation Impact on Language Model Performance Unified Energy for Invariant and Independent Decoding in Diffusion Language Models Crop Recommendation and Agricultural Query Answering System Using Spatio-Temporal Graph Neural Networks and Hybrid Retrieval Augmentation CANS: Accelerating Multiuser Collaborative Edge Inference via Cooperative Autodidactic NeuroSurgeon Culturally-Adapted Red-Teaming Across East and Southeast Asian Contexts: A Methodological and Comparative Analysis Pretrained, Frozen, Still Leaking: Auditing Cross-Encoder Attribute Transfer in EEG Foundation Models Resource-aware Computation-Communication Overlap for multi-GPU ML Workloads Trustworthy Smart Fabs via Professional Proxies: Scaling Safe and Sustainable by Design (SSbD) through Industrial Data Spaces End-to-End Training for Discrete Token LLM based TTS System Self-Paced Curriculum Reinforcement Learning for Autonomous Superbike Racing in Simulation EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video Proposal Refinement for Few-Shot Object Detection BSTabDiff: Block-Subunit Diffusion Priors for High-Dimensional Tabular Data Generation Physics-Guided Sequence-Based Generative Framework for Acoustic Metamaterial Inverse Design Internalizing Geometric Law: Learning from Solver Residuals for Precision-Critical Generation Brain-Prompt Injection: A Route-Safety Audit for BCI-LLM Agents A Universal Dense Football Event Representation Based on TabTransformer Conan-embedding-v3: Fusing Modality-Specific Models for Omni-Modal Embedding Beyond Humans: Multispecies Animal Face Recognition Using Transfer Learning PhysScene: A Scene Graph Dataset for Scientific Visual Reasoning in Physics Experiments Scaling Neural Network Verification with Tensor Parallelism and Fully Sharded Data Parallelism Reasoning Arena: Trace Tournaments When Verifiable Rewards Fall Short Real-time body pose non-verbal communication with a consistency-based reliability measure SAILS: Surrogate-based Analysis of Interactions via Local Effect Smooths Can Data Work be Reparative? AI Assurance in UK Defence: Challenges in Operationalising JSP 936 Harness Engineering for Physical AI: Robot Middleware Is the Harness Layer Context-Aware Deep Learning for Defect Classification in Atomic-Resolution STEM LargeMonitor: Monitoring Online Task-Free Continual Learning via Large Pretrained Models A Finetuned SpeechLLM for Joint Multi-Granular L2 Assessment and Natural-Language Rationales Memory Beyond Recall: A Dual-Process Cognitive Memory System for Self-Evolving LLM Agents Targeting World Models to Compromise Robot Learning Pipelines Closing the Prior-Posterior Loop: Self-Reflective Molecular Design with Analysis-Driven LLM Iteration Emergence of Context Characteristics Sensitivity in Large Language Models Model Poisoning Against Federated Model Adaptation with Chain of Bit-Flips SecureClaw: Clawing Back Control of LLM Agents FuseFSS: Efficient Secure LLM Inference with Function Secret Sharing Safe-RULE: Safe Reinforcement UnLEarning CT-VAM: A Cerebello-Thalamic-Inspired Vision-Action Model for Efficient Visuomotor Control Seeing the Hivemind: A Consensus-Aware Interaction Technique for Mitigating AI Homogenization I Was Scrolling and Then I Saw a Pregnant Strawberry Closure-Validated Circuit Discovery in Attention Heads: Co-activation Proposes, Ablation Disposes Shape Formation for the Cooperative Transportation of Arbitrary Objects Using Multi-Agent Reinforcement Learning AGENTSERVESIM: A Hardware-aware Simulator for Multi-Turn LLM Agent Serving Powering the Future of AI: Navigating the Trade-offs for Europe's Energy Transition and Net-Zero Goals ReCoVLA: VLM-Guided Reward Compilation for Failure Recovery in Vision-Language-Action Policies ATN3D: Density-Aware LiDAR-Radar Early 3D Object Detection Under Extreme Sparsity FMplex: Model Virtualization for Serving Extensible Foundation Models Do Video Foundation Models Understand Intuitive Physics? A Layerwise Probing Analysis ArtiFact: A Large-Scale Multi-Modal Cultural Heritage Dataset Muon Learns More Robust and Transferable Features than Adam End-to-End Context Compression at Scale Visual Prompting Meets Feature Reconstruction-Based Anomaly Detection with Dual-Teacher Supervision Transition-Based Digital Twin Modelling for Alzheimer's Disease under Sparse Longitudinal Data MeCo: One-Step MeanFlow-based Corrector for Multi-Channel Speech Separation An 84-Format Numeric Catalog with Bit-Exact Conformance Vectors: A Vendor-Neutral Reference for FP8, BF16, MXFP4, and Microscaling Formats Observability for Delegated Execution in Agentic AI Systems Learning to Attack and Defend: Adaptive Red Teaming of Language Models via GRPO Hybrid Robustness Verification for Spatio-Temporal Neural Networks Difference-Aware Retrieval Policies for Imitation Learning Preserving Plasticity in Continual Learning via Dynamical Isometry Data Synthesis and Parameter-Efficient Fine-Tuning for Low-Resource NMT: A Case Study on Q'eqchi' Mayan Who Earns the Safety? Intervention-Aware Quantum Predictive Control with Safety Attribution FASE: Fast Adaptive Semantic Entropy for Code Quality Bandits for Efficient Experimentation: Adapting to Control Group, Preferences, and Context Drifts Topological Neural Operators AHA-WAM:Asynchronous Horizon-Adaptive World-Action Modeling with Observation-Guided Context Routing PTL-Diffusion: Manifold-Aware Diffusion with Periodic Terminal Laws An Agency-Transferring Model-Free Policy Enhancement Technique OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics A Survey on Large Language Model-Based Game Agents TQA-Bench: Evaluating LLMs for Multi-Table Question Answering IDEQ -- Improving Diffusion Models for the Traveling Salesman Problem (TSP) by Leveraging the Structure of the Solution Space HA-VLN 2.0: An Open Benchmark and Leaderboard for Human-Aware Navigation in Discrete and Continuous Environments with Dynamic Multi-Human Interactions Can Global XAI Methods Reveal Injected Behaviours in LLMs? SHAP vs Rule Extraction vs RuleSHAP FieldWorkArena: Agentic AI Benchmark for Real Field Work Tasks Modeling the Diachronic Evolution of Legal Norms: An LRMoo-Based, Component-Level, Event-Centric Approach to Legal Knowledge Graphs Sound and Complete Neurosymbolic Reasoning with LLM-Grounded Interpretations Discovering heuristics in a complex SAT solver with large language models CLPO: Curriculum Learning meets Policy Optimization for LLM Reasoning MixReasoning: Switching Modes to Think MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library TempoBench: Evaluating Temporal Causal Reasoning in Large Language Models QuickLAP: Quick Language-Action Preference Learning for Semi-Autonomous Agents Knowing How to Edit: Reliable Evaluation Signals for Diagnosing and Optimizing Prompts at Query Level A Geometric Unification of Concept Learning with Concept Cones A Geometric Theory of Cognition for Machine Intelligence MAR:Multi-Agent Reflexion Improves Reasoning Abilities in LLMs ReTreVal: Reasoning Tree with Validation and Cross-Problem Memory for Large Language Models Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybrid Reasoning Models via Reinforcement Learning Dynamic Distributed Constraint Optimization and Metareasoning for Continual, Large-Scale Satellite Operations Payoff scaling shapes cooperation in LLM agents across languages Language-based Trial and Error Falls Behind in the Era of Experience TAME: A Trustworthy Test-Time Evolution of Agent Memory with Systematic Benchmarking Weak-Driven Learning: How Weak Agents make Strong Agents Stronger Web Agents Should Use Typed Actions Instead of Click-Based Browsing NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning 2-Step Agent: A Framework for the Interaction of a Decision Maker with AI Decision Support An Alternative Trajectory for Generative AI IRAM-Omega-Q: A Computational Framework for Uncertainty Regulation in Adaptive Agents Reflection in the Dark: Exposing and Escaping the Black Box in Reflective Prompt Optimization Counterfactual Credit Policy Optimization for Multi-Agent Collaboration Signals Are Not States: Neuro-Symbolic Safeguards for Culturally Aware Classroom AI MC-CPO: Mastery-Conditioned Constrained Policy Optimization for Pedagogically Safe Intelligent Tutoring Systems EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scale The Topological Dual of a Dataset: A Logic-to-Topology Encoding for AlphaGeometry-Style Data Explainable AML Triage with LLMs: Evidence Retrieval and Counterfactual Checks Deconstructing Superintelligence: Identity, Self-Modification and Diff\'erance Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond Correct Is Not Enough: Training Reasoning Planners with Executor-Grounded Rewards Executable World Models for ARC-AGI-3 in the Era of Coding Agents Engagement Process: Rethinking the Temporal Interface of Action and Observation Goal-Oriented Reasoning for RAG-based Memory in Conversational Agentic LLM Systems ASH: Agents that Self-Hone via Embodied Learning ANNEAL: Adapting LLM Agents via Governed Symbolic Patch Learning CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach Beyond Rational Illusion: Behaviorally Realistic Strategic Classification Playing Devil's Advocate: Off-the-Shelf Persona Vectors Rival Targeted Steering for Sycophancy MBABench: Evaluating LLM Agents on End-to-End Spreadsheet Tasks in Finance Advancing Mathematics Research with AI-Driven Formal Proof Search LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents Neural Scalable Symbolic Search Framework for Complex Logical Queries with Multiple Free Variables Quantifying and Optimizing Simplicity via Polynomial Representations VESTA: Visual Exploration with Statistical Tool Agents ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RL WorldCoder-Bench: Benchmarking Physically Grounded 3D World Synthesis ChatHealthAI: Aligning Electronic Health Record Representations with Large Language Models for Grounded Clinical Reasoning The Shadow Price of Reasoning: Economic Perspective on Optimal Budget Allocation for LLMs Trivium: Temporal Regret as a First-Class Objective for Causal-Memory Controllers MIRAGE: Mobile Agents with Implicit Reasoning and Generative World Models Entropy-Based Evaluation of AI Agents: A Lightweight Framework for Measuring Behavioral Patterns A Pre-Registered Causal Partition of Self-Consistency Elicitation and Reward Design in RLVR Learning Visual Spatial Planning from Symbolic State via Modality-Gap-Aware Self-Distillation Towards Healthy Evolution: Exploring the Role and Mechanisms of Human-Agent Interaction in Self-Evolving Systems An Infectious Disease Spread Simulation Based on Large Language Model Decision Making Humans' ALMANAC: A Human Collaboration Dataset of Action-Level Mental Model Annotations for Agent Collaboration A Study of Parallel Continuous Local Search Front-to-Attractors: Modifying the Front-to-Front Heuristic in Bidirectional Search DyCon: Dynamic Reasoning Control via Evolving Difficulty Modeling Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Toward autocorrection of chemical process flowsheets using large language models Investigating the Histogram Loss in Regression Strategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer Discovering Data Structures: Nearest Neighbor Search and Beyond Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence Complement or substitute? How AI increases the demand for human skills FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Dealing with Annotator Disagreement in Hate Speech Classification Deep Tree Tensor Networks Audio-FLAN: An Instruction-Following Dataset for Unified Audio Understanding and Generation of Speech, Music, and Sound Rule-based autocorrection of Piping and Instrumentation Diagrams (P&IDs) on graphs LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty Brain2Text Decoding Model Reveals the Neural Mechanisms of Visual Semantic Processing Hyperflux: Pruning Reveals Importance Robust Renal Mass Segmentation on CT: A Validation Study of an AI-Based Framework Harmonia: End-to-End RAG Serving Optimization ePC: Fast and Deep Predictive Coding in Digital Simulation ACTIVE-o3: Empowering MLLMs with Active Perception via Pure Reinforcement Learning dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model Learning Task Mixtures from Task Affinities: A Probabilistic Graphical Model for Supervised Fine-Tuning CLONE: A 3DGS-Based Closed-Loop Differentiable Optimization Framework for Single-Image Normal Estimation Unsupervised Partner Design Enables Robust Ad-hoc Teamwork In-Context Reinforcement Learning via Communicative World Models Discovering Expert-Level Nash Equilibrium Algorithms with Large Language Models Video Understanding by Design: How Datasets Shape Video Models I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation Decoupling the "What" and "Where" With Polar Coordinate Positional Embeddings MVCL-DAF++: Enhancing Multimodal Intent Recognition via Prototype-Aware Contrastive Alignment and Coarse-to-Fine Dynamic Attention Fusion Understanding Benchmark Language Under Weakened Formal Semantics Generation Properties of Stochastic Interpolation under Finite Training Set SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Projection and Quantisation: A Unifying View of Learning to Hash, from Random Projections to the RAG Era Large Language Models for Imbalanced Classification: Diversity makes the difference Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks PLAGUE: Plug-and-play framework for Lifelong Adaptive Generation of Multi-turn Exploits SmartMixed: A Two-Phase Training Strategy for Adaptive Activation Function Learning in Neural Networks Learning Quantized Continuous Controllers for Integer Hardware Correcting Mean Bias in Text Embeddings: A Refined Renormalization with Training-Free Improvements on MMTEB SMART: Shot-Aware Multimodal Video Moment Retrieval with Audio-Enhanced MLLM AttnRegDeepLab: A Two-Stage Decoupled Framework for Interpretable Embryo Fragmentation Grading SAGE: Shape-Adapting Gated Experts for Adaptive Histopathology Image Segmentation MedVision: Benchmarking Quantitative Medical Image Analysis SVRG and Beyond via Posterior Correction Developing Distance-Aware Physics-Constrained Probabilistic Frameworks for Industrial Prognostics Unambiguous Representations in Neural Networks: An Information-Theoretic Approach to Intentionality FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation Collaborative Edge-to-Server Inference for Vision-Language Models Exploring the Effect of Basis Rotation on NQS Performance GenTSE: Enhancing Target Speaker Extraction via a Coarse-to-Fine Generative Language Model Supracompetitive Pricing Under AI Monoculture Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives Vision-Based Early Fault Diagnosis and Self-Recovery for Strawberry Harvesting Robots A large-scale nanocrystal database with aligned synthesis and properties enabling generative inverse design One if by Land, Two if by Sea, Three if by Four Seas, and More to Come -- Values of Perception, Prediction, Communication, and Common Sense in Decision Making How Context Shapes Truth: Geometric Transformations of Statement-level Truth Representations in LLMs Revisiting Training Scale: An Empirical Study of Token Count, Power Consumption, and Parameter Efficiency DYCP: Dynamic Context Pruning for Long-Form Dialogue with LLMs MMR-GRPO: Accelerating GRPO-Style Training through Diversity-Aware Reward Reweighting A Comparative Study of Student Perspectives on Technical Writing Feedback Quality: Evaluating LLMs, SLMs, and Humans in Computer Science Topics Multimodal Generative Engine Optimization: Rank Manipulation for Vision-Language Model Rankers XCR-Bench: Benchmarking Cross-Cultural Reasoning in LLMs via Culture-Specific Items and Hall's Triad The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models CURE: Curriculum-guided Multi-task Training for Reliable Anatomy Grounded Report Generation Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT Comparative evaluation of training strategies using partially labelled datasets for segmentation of white matter hyperintensities and stroke lesions in FLAIR MRI Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD) Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units UA-DCM: Uncertainty-aware Causal Decision Making via Effect Bound Decomposition MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation How Hyper-Datafication Impacts the Sustainability Costs in Frontier AI DIVERGE: Diversity-Enhanced RAG for Open-Ended Information Seeking Reward Shaping for (Inference-Time) Alignment: A Stackelberg Game Perspective Performative Learning Theory Variational Speculative Decoding: Rethinking Draft Training from Token Likelihood to Sequence Acceptance Implementing Grassroots Logic Programs with Multiagent Transition Systems and AI (Full Version) Generative Reasoning Re-ranker When Benign Inputs Lead to Severe Harms: Eliciting Unsafe Unintended Behaviors of Computer-Use Agents Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems through Unified Architecture Design Cosmo3DFlow: Wavelet Flow Matching for Spatial-to-Spectral Compression in Reconstructing the Early Universe Transforming Police-Car Swerving for Mitigating Isolated Stop-and-Go Traffic Waves: A Practice-Oriented Jam-Absorption Driving Strategy On the Complexity of Offline Reinforcement Learning with $Q^\star$-Approximation and Partial Coverage Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models Prescriptive Scaling Reveals the Evolution of Language Model Capabilities Condition-Gated Reasoning for Context-Dependent Biomedical Question Answering Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments A Mixed Diet Makes DINO An Omnivorous Vision Encoder From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG CodeTaste: Can LLMs Generate Human-Level Code Refactorings? POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation Context Over Compute Human-in-the-Loop Outperforms Iterative Chain-of-Thought Prompting in Interview Answer Quality RetroReasoner: A Reasoning LLM for Strategic Retrosynthesis Prediction How Transformers Reject Wrong Answers: Rotational Dynamics of Factual Constraint Processing CHIMERA-Bench: A Benchmark Dataset for Epitope-Specific Antibody Design AgroOmni: A Large-Scale Multi-view Agricultural Dataset for Cross-Scale Multimodal Reasoning Component Ablation for Efficient Hybrid Language Model Architectures: Performance, Resilience, and Compression Implications DecepGPT: Schema-Driven Deception Detection with Multicultural Datasets and Robust Multimodal Learning Vision Hopfield Memory Networks for Image Recognition Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model UnWeaving the knots of GraphRAG -- turns out VectorRAG is almost enough Automated Framework to Evaluate and Harden LLM System Instructions against Encoding Attacks Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook Securing Retrieval-Augmented Generation: A Taxonomy of Attacks, Defenses, and Future Directions SatIR: Scalable High-Recall Constraint-Satisfaction-Based Information Retrieval for Clinical Trials Matching Muon$^2$: Boosting Muon via Adaptive Second-Moment Preconditioning Resilient Write: A Six-Layer Durable Write Surface for LLM Coding Agents Capacity-Controlled Global Attention for Graph Transformers Multilingual Training and Evaluation Resources for Vision-Language Models Watts-per-Intelligence Part II: Algorithmic Catalysis Knee-xRAI: An Explainable AI Framework for Automatic Kellgren-Lawrence Grading of Knee Osteoarthritis Speech Enhancement Based on Drifting Models RAS: a Reliability Oriented Metric for Automatic Speech Recognition Skill Retrieval Augmentation for Agentic AI Simple Self-Conditioning Adaptation for Masked Diffusion Models When Do Diffusion Models learn to Generate Multiple Objects? DynamicPO: Dynamic Preference Optimization for Recommendation Learning Behavioral Signals from Encrypted Smartphone Network Traffic Kernel Affine Hull Machines as Compute-Efficient Encoders for Frozen Semantic Spaces Neuron-Anchored Rule Extraction for Large Language Models via Contrastive Hierarchical Ablation Self-Mined Hardness for Safety Fine-Tuning APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Music NavOne: One-Step Global Planning for Vision-Language Navigation on Top-Down Maps MinMax Recurrent Neural Cascades From Detection to Recovery: Operational Analysis on LLM Pre-training with 504 GPUs CalBench: Evaluating Coordination-Privacy Trade-offs in Multi-Agent LLMs Quantifying Rodda and Graham Gait Classification from 3D Markerless Kinematics derived from a Single-view Video in a Heterogeneous Pediatric Clinical Cohort Improving the Performance and Learning Stability of Parallelizable RNNs Designed for Ultra-Low Power Applications High-Rate Quantized Matrix Multiplication II Margin-Adaptive Confidence Ranking for Reliable LLM Judgement Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs Evaluating Design Video Generation: Metrics for Compositional Fidelity Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps WhiteTesseract: Reframing the Interpretation of Cultural Heritage through XR and Conversational AI LEAP: Learnable End-to-End Adaptive Pruning of Large Language Models ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation Post-Trained MoE Can Skip Half Experts via Self-Distillation Diagnosing Multi-step Reasoning Failures in Black-box LLMs via Stepwise Confidence Attribution FormalASR: End-to-End Spoken Chinese to Formal Text Causal Unlearning in Collaborative Optimization: Exact and Approximate Influence Reversal under Adversarial Contributions DySink: Dynamic Frame Sinks for Autoregressive Long Video Generation CrossVLA: Cross-Paradigm Post-Training and Inference Optimization for Vision-Language-Action Models DeltaBox: Scaling Stateful AI Agents with Millisecond-Level Sandbox Checkpoint/Rollback Learning to Evaluate: Cost-Effective Model Evaluation on Unlabeled Data with Meta-Learning How Many Tools Should an LLM Agent See? A Chance-Corrected Answer Riemannian-Manifold Steering: Geometry-Aware Generative Autoencoders for Label-Free Steering Polynomial Context-Truncation Sensitivity in Autoregressive Language Models: Sequential Wyner-Ziv Bounds for KV Cache Compression The Strongest Teacher Is Not Always the Best Teacher: Student-Centric Answer Selection Locality-Aware Redundancy Pruning for LLM Depth Compression Pruning and Distilling Mixture-of-Experts into Dense Language Models Efficient and Scalable Provenance Tracking for LLM-Generated Code Snippets S3Mem: Structured Spatiotemporal Scene-Event Memory for Long-Horizon Interactive Question Answering Mechanistic origins of catastrophic forgetting: why RL preserves circuits better than SFT? MOOSE-Copilot: A Web-Based Interactive Assistant for Unified Exploratory and Fine-Grained Scientific Hypothesis Discovery BORA: Bridging Offline Reinforcement Learning and Online Residual Adaptation for Real-World Dexterous VLA Models Exploring Autonomous Agentic Data Engineering for Model Specialization Diffusion Image Generation with Explicit Modeling of Data Manifold Geometry Continuous Reasoning for Vision-Language-Action Beyond Independent Manipulation: Individual Fairness-aware Strategic Classification with Peer Imitation MENTIS: What Belief Changes Under Alignment? Measuring Multi-Scale Latent Torsion in Language Models Crazyflow: An Accurate, GPU-Accelerated, Differentiable Drone Simulator in JAX Defenses & Enablers For Skill Injection Attacks on Terminal Based Agents Easier to Mislead Than to Correct: Harmful and Beneficial Revision in LLM Conformity Argument Collapse: LLMs Flatten Long-Form Public Debate See Less, Specify More: Visual Evidence Budgets for Generalizable VLAs Cosmos 3: Omnimodal World Models for Physical AI Calibration Data Trade-offs Across Capability Dimensions: Why Multi-Source Mixing Matters for High-Sparsity LLM Pruning Optimizing Explicit Unit-Distance Lower-Bound Certificates Position: Deployed Reinforcement Learning should be Continual Incremental Sheaf Cohomology on Cellular Complexes: O(1)-in-n Lazy Edit Processing under Bounded Local Geometry An Empirical Study of Data Scale, Model Complexity, and Input Modalities in Visual Generalization Multi-SPIN: Multi-Access Speculative Inference for Cooperative Token Generation at the Edge An Empirical Audit of Input Encoders for Multi-Channel Signal Transformers GOTabPFN: From Feature Ordering to Compact Tokenization for Tabular Foundation Models on High-Dimensional Data Emotion-Aware Image Generation from Korean Diary Text via LLM-based Prompt Translation and LoRA Fine-Tuning OPRD: On-Policy Representation Distillation HANDOFF: Humanoid Agentic Task-Space Whole-Body Control via Distilled Complementary Teachers Multi-Scale Feature Attention Network for Polymer Classification Using Terahertz Spectroscopy ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized TestsGithub Trending (Python)
mvanhorn/last30days-skill RyanCodrai/turbovec google/skills Panniantong/Agent-Reach Andyyyy64/whichllm MemPalace/mempalace roboflow/supervision luongnv89/claude-howto alistaitsacle/free-llm-api-keys magenta/magenta-realtime xerrors/Yuxi marin-community/marin microsoft/VibeVoice ashishpatel26/500-AI-Agents-Projects yt-dlp/yt-dlp langchain-ai/deepagents TauricResearch/TradingAgents Imbad0202/academic-research-skillsGithub Trending (C)
dayanch96/YTMusicUltimate jtenniswood/espcontrol libsdl-org/SDL nginx/nginx meshcore-dev/MeshCore apache/httpd git/git DeusData/codebase-memory-mcp acidanthera/OpenCorePkg betaflight/betaflight erincatto/box2d mpv-player/mpv DarkFlippers/unleashed-firmware ImageMagick/ImageMagick zmkfirmware/zmk HarbourMasters/Ghostship glfw/glfw curl/curl X11Libre/xserverNature
Author Correction: De novo design of quasisymmetric two-component protein cages Author Correction: PTC-bearing mRNA elicits a genetic compensation response via Upf3a and COMPASS components Author Correction: A broadly protective antibody targeting gammaherpesvirus gB A unicellular relative links aggregative multicellularity to animal origins AI technology must serve human cognitive development, not the other way around A treasure trove of Neolithic necklace beads Arson attacks at Ebola hospitals are a cry for regional development Science must be seen as a viable profession for the many, not the few Preventing cancer requires more than a list of carcinogens Ocean ‘cold blob’ is evidence for a troubling climate trend World-first: therapy to make cells young again trialled in a person People are turning to AI chatbots to plug gaps in health information Let’s talk about biomedical research kits Don’t compete, collaborate: why collective funding applications are the future The best way to start your day? The science backs naked cartwheels in the sun Scientists have a bad case of AI FOMO, Nature poll reveals TB vaccine from the 1920s shows promise in diabetes trial Good recycling starts at home — and benefits the world My overseas job offer was rescinded. Here’s how I bounced back Seven steps for critically analysing research papers Ancient ground squirrels feasted on carcasses like ‘zombies of the Pleistocene’ How ice forms is a mystery — now scientists are cracking the case GPR15-guided CD8+ T regulatory cells control intestinal inflammation Distributed control circuits across a brain-and-cord connectome Targeting Cancer-Specific Mutations with RNA-Triggered Chromatin Shredding Daily briefing: Human embryo genomes precisely altered Fifty years since a simple equation described the chaos of biology How AI is reshaping discovery in maths and physics Why are so many young people getting cancer? What researchers do and don’t know Bots are scraping open data — how should researchers respond? AI is taking on antibiotic resistance — here’s how Nuclear-fusion firm says plant will deliver electricity to grid — but big questions remain Sustainability or dystopia? What past patterns tell us about where society is heading Briefing chat: Spinosaurs with salt glands could have lived in marine environments Precise genome editing of human embryos triggers praise and alarm Europe is ditching US tech — what does this mean for researchers? Daily briefing: A spectacular flowery frame for the Milky Way See a helicopter destined for Mars and a spectacular flowery frame for the Milky Way — May’s best science images Electric vehicles cut pollution in China — and prevent 260,000 premature deaths Author Correction: Physiology and immunology of a pig-to-human decedent kidney xenotransplant Device could sniff out fusion reactors secretly making material for a nuclear bomb Babies’ birth weight improves with help of payments to parents This mysterious lung disease affects millions of people — but a drug tested in mice shows promise Science with military applications is cited more than civilian-only research Daily briefing: Lung microbiome linked to a mysterious tissue-scarring condition What’s behind China’s historically high counts of corresponding authors? Editorial Expression of Concern: Functional proteomic identification of DNA replication proteins by induced proteolysis in vivo AI in science recruitment: friend or foe? Join our free webinar Your phone can use tiny skin-colour changes to measure your heart rate Reply to: The size of tropical vegetation gross primary production The size of tropical vegetation gross primary production A natural depsipeptide antibiotic binds the E-site of the bacterial ribosome Earth’s east–west albedo symmetry Relativistic electron acceleration at the bow shock of Jupiter and beyond Acquired genetic and cell-state changes in IDH-mutant glioma progression Mining triggers extensive additional deforestation in sub-Saharan Africa Cold-induced peptide signalling secures pollen resilience and crop yield Teosinte alleles enhance nitrogen assimilation and seed protein in maize Cell-type-resolved genetic variation shapes inflammatory bowel disease risk Plastoglobules compartmentalize nitrogen assimilation in maize Analysis of trade-offs of post-sorting plastic packaging Spermine is an endogenous iron chelator that inhibits ferroptosis Chiral superfluorescence from perovskite superlattices at room temperature Mechanophore cross-linking enhances ballistic energy dissipation of polymers Commensal-derived acetylcholine enhances mucosal immune education Nuclear shell structure governs short-range nucleon pairing High-pulse-energy integrated mode-locked laser using a Mamyshev oscillator LASER couples damage sensing to ESCRT assembly for lysosome repair Cooperation conflicts with equality when allocating public goods Enamel nanocrystal misorientation increased with meat-eating and agriculture High-fidelity modular skeletons authenticate a Cambrian origin for Bryozoa Centromeric footprints preserve telomere integrity in ALT cancers Queen cell architecture shapes honey bee queen development Why a synthetic human genome is still worth building Book of Cron JobCNN
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
House approves labor-friendly bill with support from 20 Republicans Three judges, three scandals and new scrutiny of judicial accountability House passes bill to fund ICE and Border Patrol through the remainder of Trump's term A warm World Cup welcome? U.S. immigration policies have chilling effect Why there's a debate over the new quarantine center for Americans at risk of Ebola NASA names 4 astronauts on the 'highly complex' Artemis III lunar training mission To find the World Cup's Cinderellas, we have to start with the group stage U.S. strikes Iran in response to downed helicopter Big tobacco hooked us on ultra-processed foods. It might teach us how to cut back Social Security funds could run short by 2032, program's Trustees warnThe Atlantic
The Screwworm Is Messing With America’s Beef A Disorienting Weekend With the Women of Turning Point Driving in America Is Headlight Hell The Revolutionary Gordon Wood Obama’s and Trump’s Presidential Centers Have One Thing in Common An Alien Movie for a Post-Truth Moment Actually, the SAT Was Necessary After All Why This Summer’s Airfares Are Unaffordable—And Unpredictable The Only Way to Be Absolutely Sure You Are Drawing a Fair Congressional Map The Defiance of Marjane Satrapi What Donald Trump Will Never Understand About Fighting Being Black in Pete Hegseth’s Military The Americans Shelling Out Five Figures for a Coat of Arms Why the Public Is Gravitating Toward the Hunter Biden Approach Why Republicans Aren’t Condemning Trump’s Meet the Press Walkout The Unglamorous Truth About the Average Tradwife The Atlantic’s July Issue: How to Tell the American Story The White Identitarians Are Having a Moment The Two Kinds of American Patriotism The ‘Battle Hymn’ Can’t Be Ignored America’s Promise How America Gave Up on Its Own History The Absurd World Cup The Road Wound Upward The Liberal District That Could Oust a Trump-Defying DemocratVox
Trump’s California election conspiracy The US just got its first new sunscreen in almost 30 years Can this little truck solve America’s big EV problem? There’s a new threat to the World Cup. FIFA might not be ready. The couples using ChatGPT as their therapist How the Pentagon picked a fight with Mormons The World Cup has a Trump problem The country that’s become indispensable for Trump’s foreign policy The growing US-Israel split over Iran We don’t know how the Ebola outbreak started. That’s a problem.Al Jazeera
Brazil intercepts 108 Cuban immigrants amid growing asylum applications Iran war live: US strikes after downing of helicopter, Tehran vows response US military launches ‘self-defence strikes’ targeting Iran Afghan authorities open fire on protesters over women’s dress code US judge halts execution by nitrogen gas, ruling it unconstitutional Mississippi residents sue Musk’s xAI and SpaceX over data centre ‘nuisance’ Deadly protests in Pakistan-administered Kashmir: What’s going on? Trump vows retaliation after claiming Iran shot down Apache helicopter Israeli forces kill nine in Tyre after issuing forced displacement orders Canada confirms opening of Gordie Howe Bridge, despite Trump’s threats Bear captured after days of panic and school closures in Japan Iran conflict: Why has oil stayed near $100 a barrel? What will the fallout be from the unrest in Pakistan-administered Kashmir? Why so many Americans haven’t heard about the USS Liberty NASA announces astronauts for Artemis III spaceflight, scheduled for 2027 Israel preventing more than 16,500 Palestinians from accessing medical treatment ‘Anything but normal’: Uncertainty as Iranians try to get by amid US war Palestinians confront Israeli settlers over land grab near Hebron Mexico prepares for World Cup opening match amid protests After Nagorno-Karabakh, Armenians vote for peace over nationalism US attacks Iran after Trump calls for response to Apache helicopter downing Kenya’s police crack down on protest against US Ebola centre in Nanyuki Nigeria plays Portugal in international World Cup friendly: All to know Six countries sanction enablers of settler violence in occupied West Bank Does Trump have real leverage over Netanyahu — and could he use it?Ars Technica
Starlink charges $10 monthly hardware fee in move away from one-time purchases Locked in heated rivalry with researcher, Microsoft fixes 0-day they disclosed Three key vital signs make up the "urban pulse" of a city Commonwealth Fusion makes the physics case for its 400 MW reactor Paramount accuses Netflix of "scorched-earth campaign" against WBD merger Anthropic says these topics are too dangerous to let its Fable 5 model talk about Google announces Gemini 3.5 Live Translate for instant voice-to-voice translation NASA assigns crew for Artemis III, sets aggressive timeline for flying it Screwworms in US: Human risk is low—but they can burrow through your skull One day after discovery, Meta pulls facial recognition code from its smart glasses Drone boat picked up downed US Army helicopter pilots—a first for sea rescues High-severity vulnerability in Linux caused by a single faulty character Gold isn’t inert, it just has bodyguards protecting it Here's Audi's next Q7 SUV and US-only SQ7, now with an RS V8 Apple says its AI is still private, even when it's running on Google's servers First Drive: The 2027 Rivian R2 entirely changes the EV game FCC lifts looming deadline for Amazon Leo satellite broadband constellation Tests suggest Russian satellites can jam GPS on a continental scale macOS 27 requires Apple Silicon, as Apple draws down the Intel Mac era iOS 27 and iPadOS 27 don't drop support for any iPhones—and just a few iPadsSlashdot
US Labels BYD, Baidu, Alibaba and Other Tech Giants As Aiding China's Military EU Orders Meta To Open WhatsApp To Rival AI Chatbots Anthropic Releases Claude Fable, a 'Safe' Version of Mythos High-Severity Vulnerability In Linux Caused By a Single Errant Character EU Says Decision Not to Launch Siri AI in Europe Is Apple's Alone Meta Will Use Your Activity On Other Websites To Personalize Your Feeds Microsoft Hacked To Deliver Malware To Claude and Gemini Users NHS Prescribes Half a Million Copilot Licenses For Its Paperwork Headache UK PM Gives Tech Firms Ultimatum To Block Explicit Images on Children's Phones Tests Suggest Russian Satellites Can Jam GPS On a Continental Scale Donut Lab's 'Solid-State' Battery Exposed As Regular Li-Ion 'Severe' Stress On Oceans As Rate of Sea Level Rise Doubles In 10 Years, UN Warns OpenAI Files For IPO Meta Deletes Face-Recognition System From Its Smart Glasses App Xbox Game Exclusivity Will Be Decided on a 'Case-by-Case' Basis, Microsoft SaysSmithsonian Magazine
NASA Announces the Crew of Artemis 3, Four Astronauts Who Will 'Take Calculated Risks' in Low-Earth Orbit and Pave the Way for a Future Moon Landing This Rare, Intricate Brooch Represents the Roman Empire's Long, Disjointed Attempt to Conquer Scotland People Across Cultures Find Women's Faces to Be More Attractive Than Men's, a New Study Suggests 'Cute Little Guy': Scientists Discover a Tiny Blue Species of Octopus by the Galápagos Islands Some Presidents Offer More Than Just Policy. Here Are Five Who Brought Their Innovative Spirit to the Office More Than 100,000 Illegal Exotic Cockroaches Were Seized by Australian Authorities in a Record-Setting Bug Bust When a Photographer Turned His Focus on Social Injustice, It Helped Usher in the First Child Labor Laws Theodore Roosevelt Survived an Assassination Attempt Because a Speech Tucked Inside His Pocket Slowed the Bullet. He Insisted on Delivering His Remarks Anyway These Ten Remarkable Objects From the Smithsonian Collections Make the Case for America’s Status as the Innovation Nation At a Pivotal Moment of the Civil War, Frederick Douglass Delivered a Speech That Reframed What Was at Stake if Slavery StoodInfoQ
Presentation: Confidently Automating Changes Across a Diverse Fleet IBM Vault Enterprise 2.0 Brings Automated LDAP Secrets Management to Enterprise Identity Security Microsoft Foundry Adds Runtime, Tooling, and Governance for Production Agents AWS Releases Next Generation of Amazon OpenSearch Serverless Pinterest Uses Content Fingerprints for URL Deduplication across Millions of Domains Java News Roundup: JDK 27 in Rampdown, JDK 28 Expert Group, GlassFish, Infinispan, Kotlin Gemma 4 12B Enables On-Device, Multimodal Agentic Workflows with an Encoder-free Architecture Celebrating 20 Years of InfoQ Article: Artificial Intelligence-Driven Phishing: How Phishing Technique Is Evolving and Implemented Podcast: From MCP and Vibe Coding to Harness Engineering: How Did AI Native Engineering Evolve in One Year Presentation: Mitigating Geopolitical Risks with Local-First Software and atproto Presentation: Beyond Speed Limits: Exploring the Performance Power of Valkey Microsoft Discovery Reaches GA on Azure, Powering the Agentic AI behind Majorana 2 Quantum Chip Article: The Technology Adoption Curve, Twenty Years On Microsoft Launches Logic Apps Automation at Build 2026Dynomight
Is “colorectal cancer” rising in “young people”? What’s with all the slide decks? You’re probably taking the wrong painkiller I quit drinking for a year LLMs predict my coffee The modern formatting addiction in writing Maybe there’s a pattern here? Heritability of human life span is about 50% when heritability is redefined to be something different Why read novels? Good if make prior after data instead of before Why the chicken crossed the road, according to various entities Underrated reasons to be thankful V Make product worse, get money Dating: A mysterious constellation of facts Pointing machines, population pyramids, post office scandal, type species, and horse urine Will the explainer post go extinct? Y’all are over-complicating these AI-risk arguments Shoes, Algernon, Pangea, and Sea Peoples Dear PendingKetchup You can try to like stuff I guess I was wrong about AI persuasion Futarchy’s fundamental flaw — the market — the blog post Heritability puzzlers New colors without shooting lasers into your eyes My 9-week unprocessed food self-experiment Links for July Do blue-blocking glasses improve sleep? Scribble-based forecasting and AI 2027 The AI safety problem is wanting Thoughts on the AI 2027 discourseMarginal Revolution
The new Mythos release How well does current AI find errors in economics papers? Tuesday assorted links Séb Krier Sao Paulo notes Monday assorted links Virginia Postrel and Charles C. Mann have a new podcast Hayekian Literary Criticism New paper on the iPhone and fertility Might AI hurt corporate profits? (from my email) Sunday assorted links How High-Skill Immigration Restrictions Eroded Regional Productivity: Evidence from the 2017 BAHA Executive Order Let Me Disinherit My Children, S’il vous plaît Why drugs are here to stay (from my email) Is work from home bad for your mental health?Not Boring
Expanding the Radius of Daily Life Weekly Dose of Optimism #196 America Spins on Westmag Weekly Dose of Optimism #195 Thank God For Data Centers Weekly Dose of Optimism #194 Cowboy Space Corporation Weekly Dose of Optimism #193 Riding the Leopard Weekly Dose of Optimism #192 Weekly Dose of Optimism #191 Scarce Assets Weekly Dose of Optimism #190 The Great Blue Frontier Weekly Dose of Optimism #189 Weekly Dose of Optimism #188 Weekly Dose of Optimism #187 Bad Analogies Weekly Dose of Optimism #186 Electromagnetism Secretly Runs the WorldCoding 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
Flight Dynamics Research Facility Characteristics Artemis III Crew Announced La NASA avanza hacia la misión Artemis III en 2027 y anuncia a su tripulación NASA Marches Toward Artemis III Mission in 2027, Names Crew Members June 2026 Satellite Puzzler NASA Knows: What Is Mass Distribution? San Francisco’s Metropolitan Mosaic How NASA Science and Artemis Are Shaping the 2026 FIFA World Cup Supersonic! NASA’s INCUS Satellites Progress Toward LaunchQuanta Magazine
How Terry Tao Became an Evangelist for AI in Math Are Memories Transferable — or Edible? More Conversations, Complex Questions, and Bold Ideas in Season Five of ‘The Joy of Why’ Entanglement Builds Space-Time. Now “Magic” Gives It Gravity. The Dirt That Refused To DieScience Daily
Planet nine mystery deepens as new discovery challenges hidden planet theory NASA updates worsening ISS leak after crew safety alert Scientists found a new Alzheimer’s trigger and a drug that stops it Scientists discover the brain chemical that helps you break bad habits What is space-time? A mystery at the heart of reality Scientists may have debunked one of humanity's oldest habits Dementia risk linked to nitrate in drinking water, study finds South Australia’s koala boom could end in mass starvation Everyone thought these helmets were Roman until scientists uncovered the truth Doctors thought this kidney drug helped some patients. It may help millions more. Heat breaks the rules at the nanoscale and scientists used it to their advantage Scientists found a surprisingly simple way to create powerful quantum states Tiny X-ray telescope could unlock the Moon's hidden chemistry Ancient Chinese medicine could transform hair loss treatment Scientists finally complete Schrödinger’s 100-year-old color theory Scientists sound the alarm as dangerous amoebas spread globally Giant fire tornadoes could clean up oil spills faster with less pollution Hidden supermassive black hole pairs may finally have a visible signal Scientists discover why ozempic may not work for some people A tiny atomic shift gives scientists powerful control over metals The supplements older adults actually need and the ones they don't NASA just proved spacecraft can switch between multiple satellite networks Octopuses use mirrors to find food they cannot see Ozempic and similar weight-loss drugs linked to 30% lower breast cancer risk AI-designed universal coronavirus vaccine passes first human trial Magnetic fields may be the secret behind binary star formation A study of 8,300 older adults revealed a surprising salt habit The biggest collagen study yet reveals what actually works Scientists are seriously asking if bees and ChatGPT are conscious Scientists discover a hidden quantum world inside cobalt Goethe never knew this 40-million-year-old ant was hidden in his collection Scientists finally crack an “undruggable” pancreatic cancer target and nearly double survival Scientists discover vast hidden structure beneath Antarctica’s ice After 20 years, scientists finally shrink a powerful laser onto a chip Rising seas could drown mangroves and release vast stores of carbon Scientists discover the master clock that controls biological growth and development Beluga whales keep switching mates and it may be saving their species Popular GLP-1 weight-loss drugs linked to lower risks of addiction and overdose Scientists discover a quantum effect that could eliminate batteries A child's tooth and strange green stones uncover a 5,500-year-old mystery Cancer’s favorite escape trick may actually make it easier to kill NASA's Webb detects methane and strange chemistry on interstellar comet 3I/ATLAS Super Typhoon Sinlaku triggered atmospheric gravity waves visible from space Typhoon Jangmi’s giant eye lights up the night as it approaches Japan Venus will disappear behind the Moon in a rare June sky event Scientists simulated a nuclear fireball and found a surprise in the fallout This new diabetes pill burns fat without the downsides of Ozempic Scientists reverse anxiety by fixing a tiny brain circuit Scientists discovered something surprising about french fries and diabetes A hidden pollutant is changing how the world's forests breathe New discovery upends an 80-year-old theory of turbulence The secret underground system keeping the Grand Canyon alive Scientists discover gut bacteria that may help protect against autism and ADHD A single protein may be holding back CAR T cancer therapy Scientists confirm a deep earthquake that shouldn't exist Brain scans reveal two distinct types of autism This blood-feeding fly sacrifices its sight after finding a host A stellar “Rosetta stone” reveals the source of mysterious cosmic signals Your brain starts making social decisions before you do Your kitchen sponge is releasing microplastics every time you wash dishesSpaceflight Now
NASA names four-man crew to Artemis 3 mission Preview: NASA to unveil Artemis 3 crew, provide updates on mission SpaceX launches Falcon 9 rocket booster on record-breaking 35th flight SpaceX launches 2 Starshield satellites during Saturday night Starlink mission NASA crew briefly shelters inside Dragon capsule as Russia addresses new space station leaks NASA head urges new launcher for Blue Origin’s moon landers to meet Artemis mission deadlines SpaceX launches 24 Starlink satellites on Falcon 9 rocket from Vandenberg Blue Origin vows to resume New Glenn flights by year’s end SpaceX launches sunrise Starlink mission following weather scrub SpaceX launches 50th Starlink mission of 2026Space Daily
Carl Jung suggested life splits into two halves, and the surprise is what the second is for — not more career or identity, but an inward turn he called individuation, reclaiming the parts of yourself the first half left behind Engineers trying to warn people 10,000 years from now about buried nuclear waste realised that no language could be trusted to last that long. So they imagined warnings that would not depend on words alone: fields of jagged concrete thorns, hostile earthworks and monuments designed to feel dangerous before they were understood. The message they wanted to send was almost anti-monumental: this is not a place of honour, and nothing valued is buried here. It feels obvious that heavy things fall faster than light ones, but drop a hammer and a feather where there is no air to slow them and they hit the ground at the exact same instant, the same result an astronaut proved by releasing both on the airless surface of the Moon. We tend to define boredom as the feeling of having nothing to do, but it might really be a failure of attention — a restless ache of wanting to engage your mind and being unable to. Everest is the highest mountain above sea level, but most of Mauna Kea in Hawaii is hidden beneath the Pacific, and measured from its base on the ocean floor to its summit it stands more than a kilometre taller than Everest, making it the tallest mountain on Earth. By 2030, Korean women are projected to become the first population in human history with an average life expectancy above 90 years — exceeding even Japan — according to a Lancet study of 35 industrialized nations, in a demographic shift driven by improvements in cardiovascular health and near-universal healthcare access Thought of the day from novelist and essayist Annie Dillard: “How we spend our days is, of course, how we spend our lives.” Thought by Carl Sagan: “All of human history happened on a mote of dust suspended in a sunbeam.” Apple-sized rocks four kilometres below the central Pacific Ocean contain more cobalt and manganese than all known land deposits combined, and mining companies are now racing to extract them from one of the least-explored ecosystems on Earth, where over 90 per cent of the local species are still undescribed. After tracking how people formed new friendships, a researcher estimated the hours it quietly takes — about 50 to feel like casual friends, but more than 200 before someone becomes a close oneSpace News
NASA names crew for Artemis 3 mission to test lunar landers Warren AI™ Risk analysis engine Is now Live: Building The Risk Intelligence Infrastructure Layer for The Space Economy BlackSky to accelerate broad-area collection work under NRO contract modification New Glenn forced an explosive rewrite for NASA’s plans to build a moon base Iceye raises 1 billion euros to expand SAR satellite systems Isar Aerospace raises 270 million euros for global launch expansion Commercial launch providers shortlisted for China’s low-cost cargo spacecraft Let’s procure in-orbit services like Earth observation data and services FCC lets Amazon Leo miss deployment deadline with temporary spectrum penalty Russia is jamming GPS from space Quantum Space to go public in SPAC deal WRC-27: the next arena for U.S.-China space competition Axiom and Prada advance design of spacesuit Speed as a Strategic Advantage in Border Monitoring UK startup NewOrbit raises $18.5 million in Series A round OQ Technology plans direct-to-smartphone demo with cellular spectrum NASA to select new headquarters building by end of year Rounding up the space unicorns NASA interested in Hubble reboost if costs can be reduced NASA concerns about Russian repairs prompted ISS safe haven decision Leaf Space partners with D-Orbit and EnduroSat to test connectivity service Astronauts briefly shelter in Dragon during ISS leak repair Next Ariane 6 launch to carry 36 Amazon Leo satellites using upgraded boosters Let’s build the moon base, but not lose sight of MarsMartin Fowler
Fragments: June 2 Fragments: May 27 The test suite as a regression sensor The VibeSec Reckoning Bliki: Vibe Coding Three more static code analysis sensors Maintainability sensors for coding agents Fragments: May 14 Bliki: Interrogatory LLM What is Code Fragments: May 5 Bliki: Mythical Man Month Fragments: April 29 Structured-Prompt-Driven Development (SPDD) Fragments: April 21 Fragments: April 14 Alan Turing play in Cambridge MA Fragments: April 9 Feedback Flywheel Principles of Mechanical Sympathy Fragments: April 2 Harness engineering for coding agent users Encoding Team Standards Fragments: March 26 Bliki: Architecture Decision Record Context Anchoring Ideological Resistance to Patents, Followed by Reluctant Pragmatism Humans and Agents in Software Engineering Loops Design-First Collaboration Knowledge PrimingEmbedded 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
Inventing Your Own Patch From Scratch With Zebra 3 CRSSD Festival Reveals Lineup For Fall 2026 Return To San Diego Ten of the Best: Budget Drum Machines Under $500 Ableton Extensions SDK Turns Live Suite Into An Experimental Development Platform LabelWorx Unveils Elevate Funding Programme for Independent Labels Kaitlyn Aurelia Smith With London Contemporary Orchestra, Barbican Review What Happened At Boards of Canada’s “Inferno” Tokyo Listening Session SystemOne Unveils Major Rebuild Of Booking Agency Platform Attack Mag Podcast EP 14: Juliet Fox New SyncPlacement Platform Aims To Simplify Sync Research For Independent ArtistsDJ TechTools
Farewell, Juno Download Midi Fighter Utility 2.91 Is Out; Our Biggest Update in Years Engine DJ 5.0: on-board stems on the System 1, RGB waveforms for everyone Devious Pocket: a €249 open-source DVS that ditches the laptop InMusic just bought Native Instruments. So what now for Traktor? 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