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Trump urges Texas Republicans to vote for Ken Paxton as four-term senator John Cornyn fights to hold seat – live - The Guardian South Carolina’s Trump-backed redistricting push fails in the state Senate amid GOP opposition - NBC News Live Updates: Iran accuses U.S. of "grave violation" of ceasefire as Trump seeks "good deal or no deal" - CBS News At the A.I. Epicenter, Technologists Dismiss Pope Leo’s Warnings About the New Technology - The New York Times Israel Steps Up Lebanon Offensive as U.S. Pushes for Iran Peace Deal - The New York Times To stop leaks, the Trump administration wants federal workers to sign NDAs - NPR Multiple injuries, deaths after 'major chemical implosion' at Longview paper mill - KOMO Federal court blocks new Alabama congressional map - Roll Call Democratic Incumbents Run Against Each Other After Republican Redistricting in Texas - The New York Times Florida judge refuses to block new congressional map that could net 4 seats for GOP - Politico Search continues for 7 villagers trapped in a flooded Laos cave - KSL News An exceptionally early heat wave shatters records and brings deaths in Europe - NPR U.S.-wanted nephew of notorious cartel boss "El Chapo" is captured in Mexico - CBS News Ukraine: EU summons Russian envoy after call to leave Kyiv - DW.com Controversial electric Ferrari outrages transport minister (and the rest of Italy) - politico.eu Micron Stock Hits $1 Trillion. Trump and Wall Street Unite Behind the Chip Titan. - Barron's Rocket, Satellite Stocks Surge as SpaceX IPO Fuels Euphoria - Yahoo Finance Uber, Lyft drivers in Massachusetts form first US ride-share union - Reuters Apple releases first iOS 26.6 beta for iPhone - 9to5Mac Google Health is here, but a lot of people want their Fitbit app back instead - The Verge Logitech’s new desk gear makes your marathon PC sessions hurt less - PCWorld Camera Assistant support is expanding to a lot more Galaxy devices - SamMobile SpaceX IPO filing sparks a bull market in space stocks. How to buy in - CNBC Sonny Rollins, Giant of the Jazz Saxophone, Is Dead at 95 - The New York Times All of the 2026 AMAs Performances, Ranked - Billboard West and Amanda Would Rather Not - The Cut Missing a World Cup, over email? Pochettino defends communication style with tough decisions behind him - The Guardian Knicks sweep Cavs, advance to NBA Finals for first time since 1999 - Newsday NBA playoffs 2026: Live updates from Spurs-Thunder Game 5 - ESPN UFC Unveils Plans for White House Fight on Trump’s Birthday - The New York Times Nasa selects Jeff Bezos’s Blue Origin for first of three uncrewed lunar missions - The Guardian An astronaut’s mystery illness could change the way NASA plans future missions - CNN Bizarre ‘witch croc’ that looks just like a dinosaur discovered in New Mexico - BBC Wildlife Magazine Space embryos: China launches lab-grown human cells into orbit to study reproduction - Yahoo Ebola disease outbreak in the Democratic Republic of the Congo and Uganda - ECDC The cruise ship at center of a deadly hantavirus outbreak has to undergo extra cleaning - Yahoo Ebola Death Toll Rises To 220, Officials Say 11 Countries Now At Risk (Live Updates) - Forbes 6 things a neurologist does to keep his brain healthy - The Washington PostBBC News
Labour has 'no coherent plan' for country, says Blair UK's hottest May day record broken for second day in a row Body found in search for boy, 12, missing in river Iran war impact to hit household energy bills for the first time Nasa unveils next steps to build permanent Moon base Can EU find a Russia whisperer to mediate an end to war in Ukraine? Russia 'relentlessly targeting' critical infrastructure and democracy, GCHQ says 'We knew somebody would die': Teenage patients 'ignored' before fatal NHS trust failures Speed up £250 cap on leasehold ground rent, MPs urge Instagram betting ads featuring Kane and Haaland banned Iran condemns US strikes as 'gross violation' of ceasefire Woman shot outside Sheffield bar was innocent bystander Why temperature records are being not only broken but smashed Russia ramps up threats against Ukraine. What does that say about the war? Watch: UFC arena construction begins at White House ahead of fight The Papers: 'Blair: Starmer has no plan for Britain' and 'The heat's still on' Watch: Paris 'punishingly hot' as Western Europe hit by heatwave 'Shocking' rise in school suspensions for racist and homophobic abuse Post Office investigation could be delayed by five years, police warn Sentences of boys spared custody over rape referred to Court of Appeal Better WiFi for hundreds of trains under government plans Three killed and dozens injured in Israeli strike on Gaza City, medics and witnesses say BBC News app Why Did Teenage Rapists Avoid Custody? The political fight for American men Foden a 'victim' of football's packed schedule Man City ahead of Man Utd in race for Anderson Have Rangers just signed Scotland's World Cup number nine? 'Like the Eiffel Tower at night' - Osaka sparkles in French Open outfit Coventry's Lampard named LMA manager of the year Spurs launch review after season of injury woe London City pursuing Putellas after Barca exitFinancial Times (World)
Bezos’s Blue Origin secures $468mn in Nasa Moon Base contracts UK imposes sanctions on crypto exchange tied to billionaire Justin Sun FirstFT: ByteDance offers AI team special stock to combat poaching Trump’s influence on Republican Party tested in Texan run-off vote Tony Blair criticises Labour’s Andy Burnham for leftwing ‘delusion’ Iran accuses US of ‘flagrant’ ceasefire violations as back-channel talks continue Iran starts to restore internet access after months-long blackout US and Iran: the art of the possible Chipmaker ETF rides AI excitement to quickest $10bn valuation on record UK and Europe shatter heat records in ‘mind-boggling’ May Senior Reform UK figures clash over immigration plans Israel steps up attacks on Hizbollah US strikes Iranian missile sites as peace talks continue UK law firm Pinsent Masons reprimanded by court over AI error Top ECB policymakers lay groundwork for June rate rise ECB says private-credit fuelled AI boom poses risk to financial system Nine countries pull out of Ukraine ammunition coalition Warsh’s complicated inheritance Mango heir Jonathan Andic stands down over probe into father’s fatal fall Putin and Trump don’t have the cards Ford’s convenient comp comp Deregulation hands top US and UK banks $1.3tn US car dealers face backlash over practices as prices surge Fewer households should be exempt from energy bills, says regulator FirstFT: US strikes Iranian missile sitesFinancial Times (UK)
UK imposes sanctions on crypto exchange tied to billionaire Justin Sun Tony Blair criticises Labour’s Andy Burnham for leftwing ‘delusion’ UK and Europe shatter heat records in ‘mind-boggling’ May Senior Reform UK figures clash over immigration plans UK law firm Pinsent Masons reprimanded by court over AI error Turning Neets into engineers Companies are gearing up for price increases Leaving ECHR would jeopardise UK national security, say centrist Tories Real wages start to shrink in developed countries UK could join €4bn EU start-up fund this year, top official says Three ways a new Labour leader could change the politics of growth There are more important things to consider when moving countries than tax Bond Street’s loss is Sloane Street’s gain in London’s luxury retail landscape How the SNP survived scandal to keep ruling Scotland Reeves urges ministers to ‘buy British’ in critical sectors Carney warns Alberta separatists of Brexit-style regret Peter Murrell pleads guilty to embezzling £400,000 from SNP UK defence secretary’s plane has GPS jammed near Russian border The infantilism of an ‘ungovernable’ Britain HS2 paid consultancies £65mn last year in run-up to project ‘reset’ The Labour Party’s four tribes Bank lending to UK businesses falls to lowest level in nearly 30 years Duke of Norfolk to host Reform donors as Farage seeks to widen appeal Why young academics are leaving academia UK universities cut jobs, research and teaching amid squeeze in overseas studentsThe New York Times
At the A.I. Epicenter, Technologists Dismiss Pope Leo’s Warnings About the New Technology As A.I. Fever Rises in Silicon Valley, Pope Leo Has a Few Words SpaceX IPO Filing Reveals Favorable Terms for Elon Musk UK Institute Is Hunting for Dangers Lurking in AI ‘The Maids,’ With Yerin Ha, Asks: Has Life Become One Big Performance? Massachusetts Uber and Lyft Drivers Form First Union for Ride-Share Workers One Job That Is Growing in the A.I. Era? Cybersecurity Experts. Waymo Suspends Service in Six Cities After Cars Drove Into Flooded Roads Google Appeals Landmark Ruling Declaring It a Monopolist in Search Sundar Pichai Understands Why People Are Anxious About A.I. Our Field Trip to Google I/O + A Sit-Down With Sundar Pichai + System Update ‘Peanuts’ Music Owner Sues Interior Department and 3 Companies for Copyright Infringement Meta Settles a School District’s Social Media Addiction Lawsuit Trump Cancels Signing of Executive Order Granting Oversight of A.I. Models Gov. Gavin Newsom to Sign Executive Order Aimed at A.I. Job Loss Samsung Averts a Walkout With Big Bonuses, but Discord Over A.I. Profits Brews Soundtrack to 8,000 Job Cuts: A Meta Worker’s Layoff-Themed A.I. Songs Musk’s SpaceX Reveals Its Finances for the First Time as It Readies for IPO OpenAI Prepares to File for an I.P.O. in Coming Weeks Meta Lays Off 8,000 Employees, as A.I. Casualties MountThe Guardian
Spread of Ebola in DRC ‘outpacing’ response efforts, warns WHO ‘She does not back down’: the couple seeking to legalise same-sex marriage in Botswana Suspected Ebola cases in DRC pass 900 as health workers face attacks and shortages Hunger increasingly used as weapon of war as ‘food-related violence’ surges, analysis shows White House pauses removal of detainees to DRC as Ebola outbreak widens President Sheinbaum allows Iran team to stay in Mexico during World Cup after US refusal Venezuela inmates occupy prison roof and set fire to mattresses to highlight alleged abuse ‘Canada is handing people over to ICE’: refugees rejected at border face US detention US judge dismisses criminal indictment against Kilmar Ábrego García PM says Alberta ‘essential’ to Canada as separatists push for independence Thai rescuers join effort to free seven people trapped in Laos cave China mine death toll at least 82 after gas blast UN’s climate crisis vote shows political momentum is growing, say experts US arms sales to Taiwan on ‘pause’ due to Iran war, says acting navy chief Weather tracker: Heavy rain triggers flooding and landslides in parts of China Australia politics live: Hume accuses Labor of planning to ‘ram’ tax changes through Senate with help of Greens Image of ‘twin babies’ used by anti-abortion activist appears to show sugar gliders Rein in fossil fuel tax concessions, Labor MP says after BHP revelations Landlord inaction on energy upgrades stops renters saving $20bn on power bills in a decade Anti-corruption boss hits back at suggestions he contributed to robodebt victims’ suffering Seven heat-related deaths in France as May records set in several countries Turkish police fire teargas to break up protest after opposition leader ousted Moscow wants to ‘destabilise’ Europe, EU chief warns, as countries summon Russian ambassadors over Kyiv threats – as it happened Italy’s top court rules against tourist refused tap water in Dolomites hotel Czech police release Russian bishop after ‘white powder’ found in his car Middle East crisis: Iran’s foreign ministry says US broke ceasefire with overnight strikes – as it happened Iran remains in peace talks despite ‘bad faith’ US bombings of Iranian targets Iran’s access to global internet starts to resume after 88-day blackout Tehran expresses ‘resolute support’ for Hezbollah – as it happened US strikes Iran missile sites and mine laying vessels as Trump’s promised peace deal remains elusive Indians protest over ‘forever chemicals’ after relocation of scandal-hit Italian factory Starmer urged to intervene in ‘rigged’ Indian prosecution of British human rights activist Suicide bombing near railway track in Pakistan kills at least 23 people Trump to meet with US negotiators to decide on Iran’s ceasefire proposal India’s government orders handover of exclusive Delhi Gymkhana Club Russia is targeting UK’s infrastructure and democracy, GCHQ head to say Tony Blair’s essay on Labour failings gets full marks for being unhelpful Tony Blair tells Starmer and rivals: abandon net zero and move closer to Trump Inquiry into Post Office Horizon scandal faces five-year delay without extra funding Reform UK civil service plan ‘would sack more planning officers than exist’ Most polls close in Texas as Trump-backed Ken Paxton looks to win Republican runoff against incumbent US senator John Cornyn – live One person killed and at least nine injured in implosion at Washington state packaging plant UFC arena under construction on White House lawn to mark Trump’s 80th birthday Clarence B Jones, who helped MLK write ‘I have a dream’ speech, dies at 95 Jury seated as US trial of Catholic priest accused of sexual assault beginsHacker News
Agent Memory: An Anatomy Sonny Rollins, Jazz's Saxophone Colossus and Greatest Improvisor, Dead at 95 Cloudflare Flagship Big tech's anti-labor playbook has come for Wikipedia The worst job interview I ever had DeepSWE: A contamination-free benchmark for long-horizon coding agents Chemistry behind the Garden Grove chemical tank Sage Care (YC S24) Is Hiring Software Engineers The real cost of owning a home What color is your function? (2015) The Ballad of TIGIT Launch HN: Minicor (YC P26) – Windows desktop automations at scale C64 Basic: Game Map Overhead “Camera View” Dropbox CEO Drew Houston to step down Spain blocks prediction markets Polymarket, Kalshi over lack of gambling licence Outsourcing plus local AI will soon become more economical vs. frontier labs Netherlands blocks US takeover of vital digital supplier A portentous reunion Show HN: Rapel – chunked resumable downloads in unstable networks A few interesting modern pixel fontsArxiv astro-ph.HE
The Phenomenological Nature of Quasar-type Blazars (BZQ). I. Revisiting the Flat-Spectrum Paradigm Hadronic Processes, Plasma Evolution and Neutrino Emission in Magnetic Towers of Neutron-Star Merger Remnants A formation scenario of black hole-envelope systems --viscous hydrodynamics simulation in general relativity-- Discovery and Analysis of a Type II Supernova Candidate at z = 3.19 from JWST's COSMOS-Web Survey On the maximum neutrino flux of blazars in the one-zone leptohadronic model Pitch-Angle Scattering of Cosmic Rays: Confronting Theory with Observations Evidence for mass-dependent spin subpopulations in GWTC-4 Timing and Spectral Studies of PSR J2022+3842 with NICER and NuSTAR New galaxy cluster in the Zone of Avoidance SRGe CL0512.7+3712. Discovery and multi-wavelength characterization The XRISM measurements of the black-hole spin in Cyg X-1 are highly model-dependent SN~2018erx: A fast-evolving, dust-reddened Type Icn supernova with broad C II emission lines The Evolution of Cataclysmic Variables Under Various Magnetic Pulse Modulation as a Signature of the Asteroid-Neutron Star Collision Model for High-Energy Transients QPEs from Warped Disk Collisions with EMRIs: Brightness-Recurrence Diagram and Gravitational-Wave Follow-up Radio Study of G76.9+1.0 Pulsar Wind Nebula Shear Particle Acceleration in Structured Gamma-Ray Burst Jets: IV. Thermal {\em vs.} Non-thermal Emission of the Jet Cocoon Discovery of Short-Term {\gamma}-Ray Pulsed Radiation Variations Following a Glitch in PSR J0205+6449 Inverse Compton scattering occurring in a reverse-shock scenario involving a kilonova: A channel of TeV gamma-ray photons Compact dusty starbursts at cosmic noon linked to high-energy neutrinos Discovery of Molecular and Atomic Gas associated with HESS J1646-458 (Westerlund 1): Spatial TeV Gamma-Ray and Interstellar Proton Correspondence Legacy analysis of Milky Way dwarf spheroidal satellite galaxies: an update Superfluid fraction and effective ion mass in the crystalline crust of a neutron star: role of interband response Reassessing high-energy emission correlations in gamma-ray bursts using a large, homogeneous sample of X-ray afterglows The transitional Type Ibn/IIn SN 2022pda, with pre-explosion outbursts and a double-peaked light curve Core-collape supernovae and supernova neutrinos Reversible-jump MCMC reveals binary black hole subpopulations with distinct redshift evolution Compactness Peaks and Subpopulations: Probing Stellar Physics and Formation Channels of Merging Binary Black Holes X-ray Polarization Signatures from Comptonization by Magnetic Reconnection Plasmoids GRB 260310A / SN 2026fgk: A Multi-Wavelength Study of a Nearby Underluminous Long GRB and SN with a Complex Afterglow Production of Leptophilic Bosons in Ultradegenerate Relativistic Matter Neutron Star Bounds on Muonic Fifth Forces from Picometer to Kilometer Scales The Lumina Project: The Demographics of Active Galactic Nuclei from Quasars to Little Red Dots at $z\geq 3$ Solar Axions from Nuclear Transitions Mass distribution of neutron stars in binary systems Thermal Spin Polarization Driven by Nuclear Spin-Orbit Coupling in Neutron Star Pasta The nucleosynthesis of Ba in the Early Universe. Constraints from elemental abundances and isotopic ratios Turbulence in Magnetised Neutron Stars Multi-messengers from the radioactive decay of $r$-process nuclei Systematic Effects of Chaotic Magnetic Fields on Neutron Star Tidal Deformability: Implications for Gravitational Wave Constraints on Dense Matter Gamma-Ray Spectra of $R$-Process Nuclei Multi Messenger Study of GRB 221009A with VHE Gamma-ray and Neutrino Afterglow from a Gaussian Structured Jet Enhanced antineutrino emission from $\beta$ decay in core-collapse supernovae with self-consistent weak decay rates First detection of X-ray polarization from the long-period X-ray pulsar 4U 1954+319 Exploring the Limits of Machine Learning Classification of Neutron Star Matter Models IGR J12580+0134: A Possible Repeated Partial Tidal Disruption Event Inferred from Late-Time Radio Re-brightenin Stochastic Particle Acceleration during Pressure-Anisotropy-Driven Magnetogenesis in the Pre-Structure Universe Irregular Repeating Tidal Disruption Events due to Diffusive Tides A 4.5-s Quasiperiodic Spectral Oscillation in GRB 230307A: Evidence for Free Precession of a Post-Merger Magnetar? Observational Properties of Nonthermal Emission from Relativistic Jets Escaping Active Galactic Nucleus Disks Cosmic-ray boosted inelastic dark matter from neutrino-emitting active galactic nuclei Theoretical Signatures of QCD Phase Transitions in Compact Astrophysical Systems GW250114 reveals black hole horizon signatures Constraining meV Axion Dark Matter with ALMA Observations of the Galactic Center Magnetar SGR 1745-2900 BASS LV. Connecting X-ray variability with AGN physical properties and a new path to Cosmological distancesArxiv cs.LG
Algometrics: Forecasting Under Algorithmic Feedback Parameter Efficient Multi-Class Intelligent Scheduling for Multimodal Online Distributed Industrial Anomaly Detection CAFD: Concept-Aware DNN Fault Detection using VLMs Towards Verifiable Transformers: Solver-Checkable Circuit Explanations Iterative Refinement Neural Operators are Learned Fixed-Point Solvers: A Principled Approach to Spectral Bias Mitigation Hidden-State Privacy Has an Empty Middle LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs A Large-Scale Dataset and Benchmark: Do Protein-Ligand Models Learn Binding Sites or Just Binding Likelihood? Mixture of Complementary Agents for Robust LLM Ensemble Truthful Online Preference Aggregation for LLM Fine-Tuning in Mobile Crowdsourcing Cascade-KDE: Robust Time-Series Restoration under Out-of-Distribution Impulse Corruptions Feature Lottery? A Bifurcation Theory of Concept Emergence Signs Beat Floats: Low-Rank Double-Binary Adaptation for On-Device Fine-Tuning Spectral Probe-Circuits: A Three-Step Recipe for Identifying Attention-Head Circuits in Pretrained Transformers Federated Learning over Human-Body Communication for On-Body Edge Intelligence: A Survey, Taxonomy, and BODYFED-HBC Scheduling Vignette Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion Not All Transitions Matter: Evidence from PPO Verified SHAP: Provable Bounds for Exact Shapley Values of Neural Networks Overcoming "Physics Shock" in Earth Observation A Heteroscedastic Uncertainty Framework for PINN-based Flood Inference Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Knowledge Graph Modulated Deep Learning for Limited-Sample Clinical Data Analysis PromptAudit: Auditing Prompt Sensitivity in LLM-Based Vulnerability Detection Filtered Posterior Mean Collections: A Unified Framework for Analytical Models of Diffusion Generalization Characterizing the Representational Capacity of Neural Processes Agent-ToM: Learning to Monitor Autonomous LLM Agents via Theory-of-Mind Reasoning PrivFusion: A Privacy-preserving Multi-Agent Framework for Harmonizing Distributed Datasets Rethinking Continual Anomaly Detection on the Edge: Benchmarking Under Realistic Industrial Conditions Optimizing Digital Therapeutic Interventions: Online Learning under Endogenous Adherence A lift for input-convex neural network training Fourier Feature Pyramids for Physics-Informed Neural Networks Faithfulness as Information Flow: Evaluating and Training Faithful Chain-of-Thought Reasoning TUBE: Tangent Upper Bound on Evidence for Discrete Diffusion Language Models Private Adaptive Covariance Estimation via Gaussian Graphical Models LLMs Show No Signs Of Individuated Metacognition ChaosBench-Logic v2: Evaluating LLM Logical Reasoning over Dynamical Systems at Scale From One-Pass SGD to Data Reuse: Mini-Batch Scaling Laws in Sketched Linear Regression Omissive Bias in Religious Representation: Benchmarking LLM Answers to Everyday Ethical Decision-making Interdomain Attention: Beyond Token-Level Key-Value Memory CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning ChainzRule: Sample-Efficient, Robust Deep Learning Across Tabular, NLP, and Vision Tasks Evolving Robustness--Exploration Trade-off in Online Reinforcement Learning via Quantile Bayesian Risk MDPs Refined Analysis of Entropy-Regularized Actor-Critic Treatment Effect Estimation with Differentiated Networked Effect on Graph Data GEESE: Genotype-aware End-to-End Spatio-temporal Embedding for Behavioral Phenotyping Assessing the Operational Viability of Foundation Models for Time Series Forecasting Learning Laplacian Eigenspace with Mass-Aware Neural Operators on Point Clouds AvAtar: Learning to Align via Active Optimal Transport Generative OOD-regularized Model-based Policy Optimization A Unified Python Framework for Direct PPO-based Control of AHUs with Economizer Logic and CO2-Constrained Ventilation Synheart Capacity: A Theory-Driven Physiological Representation of Cognitive Capacity Dynamics from Wearable Signals LLMTabBench: Evaluating LLMs on Binary Tabular Classification From Zero to Few Shots ChainLearn: A Blockchain-Based Capacity-Aware Framework for Federated Ensemble Learning Batch Normalization Amplifies Memorization and Privacy Risks Momentum Streams for Optimizer-Inspired Transformers Representation-Guided Discrete Molecular Graph Retrosynthesis CAffNet: Hard Constraint-Affine Neural Networks Balancing Fairness, Privacy, and Accuracy: A Multitask Adversarial Framework for Centralized Data-Driven Systems The Normalized Maximum Likelihood for Regular Non-Smooth Models: Measure-Theoretic Foundations and Geometric Sampling Zeroth-Order Nonconvex Nonsmooth Optimization with Heavy-Tailed Noise Lake Detection and Water Quality Estimation in Sentinel-2 Data ECHO: Terminal Agents Learn World Models for Free MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding What Are We Actually Decoding? Source Attribution for Non-Invasive Brain-to-Language Retrieval SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Rethinking Federated Unlearning via the Lens of Memorization RL with Learnable Textual Feedback: A Bilevel Approach Deep ZakaiJ: Structured Filtering for Jump-Diffusion Time Series Forecasting Position: AI for Science Should Treat Measurement-to-Dataset Pipelines as Inference Components PILOT: Policy-Informed Learned Optimization for Adaptive Deep Network Training Polymorphism Is Rotation: Operational Mechanistic Interpretability from a Two-Layer Transformer to Pythia-70m An Effective-Rank Audit of Alignment-Induced Activation Shifts: Confound Control, Constructive Calibration, and Limits LAPLEX: The FFT of Learnable Laplace Kernels Beyond Fixed Points: Superpolynomial Capacity of Asymmetric Hopfield Networks Beyond Generative Priors: Minority Sampling with JEPA-Guided Diffusion On the Stability and Realizability of Recurrent Polynomial Surrogate Ternary Logic Gate Networks WLNO: Wavelet-Laplace Neural Operator for Solving Partial Differential Equations IterInject: Indirect Prompt Injection Against LLM Agents via Feedback-Guided Iterative Optimization Trajectory-Based Difficulty Scoring for Reliable Learning on Tabular Data Beyond the Aggregation Dilemma: Prior-Retaining Decoupled Learning for Multimodal Graphs Streaming Reinforcement Learning under Partial Observability with Real-Time Recurrent Learning Feature Learning in Wide Neural Networks under $\mu$P: Identifiability and Sparse-Dictionary Decomposition of the Mean-Field Limit Hardware-Aware Federated Learning for Speech Emotion Recognition Reinforcement Learning for Reachability: Guaranteeing Asymptotic Optimality Aligning Molecular Graph Explanations with Chemical Identity via InChIfied Invariants Bilevel Optimization of Synthetic Trajectories for Multi-Turn LLM Fine-Tuning A computational phase transition for learning-to-sample from Ising models A Contractive Feedback Semantics for Reinforcement Learning High-fidelity Modeling of Full-scale Pressurized Water Reactor Flow Fields for Machine Learning Applications Muon in Vision Transformers: Optimizer-Recipe Interactions and Gradient Spectra Hermite-NGP: Gradient-Augmented Hash Encoding for Learning PDEs Complement Submodular Information Measures for Balanced and Robust Data Selection The Perception-Physics Paradox: Probing Scientific Alignment with TC-Bench CONF-KV: Confidence-Aware KV Cache Eviction with Mixed-Precision Storage for Long-Horizon LLM Active Learning for Stochastic Contextual Linear Bandits Disentangled Double Machine Learning for Accurate Causal Effect Estimation Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning DriftingMol: Decoder-Coupled Drift for One-Pass Property-Conditional Molecular Generation Tiny Brains, Giant Impact: Uncovering the Keystone Neurons of LLM with Just a Few Prompts T2S-MPC: Time-Embedded Online Adaptive Model Predictive Control for Time-Varying Dynamics The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets A comparative study of accuracy and rollout stability of temporal surrogate models Cluster Frequency Conformal Prediction for Local Coverage Efficient DP-SGD for LLMs with Randomized Clipping On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting Explainable Retinal Imaging for Prediction of Multi-Organ Dysfunction in Type 2 Diabetes Quaternion Self-Attention with Shared Scores BandVQ: Band-Wise Vector-Quantized EEG Foundation Model Global linear convergence of entropy-regularized softmax policy gradient beyond tabular MDPs Riemannian-Manifold Steering: Geometry-Aware Generative Autoencoders for Label-Free Steering RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challenges MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification OSDTW: Optimal Shared Depth and Task Weighting for Long-Tailed Recognition TGFormer: Towards Temporal Graph Transformer with Auto-Correlation Mechanism Benchmarking non-conformity score functions in conformal prediction Selective Test-Time Compute Scaling for Click-Through Rate Prediction via Uncertainty-Triggered Feature Path Exploration Mitigating Gradient Pathology in PINNs through Aligned Constraint Metropolis-Scale Resilient and Trustworthy Traffic Flow Inference Using Multi-Source Data A perspective on fluid mechanical environments for challenges in reinforcement learning MimirRAG: A Multi-Agent RAG Framework for Financial Data Retrieval with Metadata Integration Scale When Needed: Adaptive Neuron-level Mixed Precision Quantization Aware Training GL-LFGNN:A Global-Local Dual-branch Causal Graph Neural Network Based on Liang-Kleeman Information Flow for EEG Emotion Recognition Reinforcement Learning for Laser Additive Manufacturing Scan-Order Optimisation: A Bilevel Proxy--FEA Diagnostic Framework for Reward and World-Model Diagnosis Leveraging Gauge Freedom for Learning Non-Gradient Population Dynamics of Stochastic Systems Revisiting Pre-Propagation GNNs: Robust Diffusion Operators and Hidden-State Re-Propagation Courant: a State-Adaptive Perceiver-Based Neural Surrogate with Local Support and Interpretable Field Decomposition Inference-Time Alignment of Diffusion Models via Trust-Region Iterative Twisted Sequential Monte Carlo Optimizing Multidimensional Scaling in Gini Metric Spaces Blocked Gibbs meets Diffusion Transformers: Unsupervised Learning for Constraint Optimization Theoretical Analysis of Sparse Optimization with Reparameterization, Weight Decay, and Adaptive Learning Rate ASTRO: Adaptive Spatio-Temporal Reinforcement Optimization for GNN Powered Anomly Detection in Cyber Physical Systems Abduction-Deduction Entanglement: Domain Generalization via Representation Transplants AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting Learning Treatment Effects during Resource Allocation via Priority-Queue Randomization Grow-Prune-Freeze Networks: Adaptive & Continual Learning Technique for Olfactory Navigation Directional Alignment Mitigates Reward Hacking in Reinforcement Learning for Language Models Localization then Neutralization: Gradient-guided Token Suppression against Visual Prompt Injection Attack Hide to Guide: Learning via Semantic Masking Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning Evolving Causal Regulatory Networks (ECR-Net) Personalized Federated Learning by Energy-Efficient UAV Communications Continuous-Depth Field Theory for Transformer Patching and Mechanistic Interpretability A Blended Likelihood Approach for Achieving Fairness Using Naive Bayes On the Epistemic Uncertainty of Overparametrized Neural Networks Constraint-Anchored Attribution: Feasibility-Certified Counterfactuals and Bonferroni-PAC Sufficient Subsets for Neural CO Policies Quantifying Empirical Compute-Supervision Tradeoffs in RLVR Latent Q-Barrier Shielding for Safe In-Context Reinforcement Learning Label-NTK Alignments and A Tighter Convergence Bound in the NTK Regime When Interpretability Becomes a Liability: Adversarial Attacks on CBM Concept Layers Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations UWM-JEPA: Predictive World Models That Imagine in Belief Space CausalFlow: Causal Attribution and Counterfactual Repair for LLM Agent Failures Certified Robustness from Approximate Gaussian Mixture Structures in Pretrained Latent Spaces PDEInvBench: A Comprehensive Dataset and Design Space Exploration of Neural Networks for PDE Inverse Problems Not only where, But when: Temporal Scheduling for RLVR ViroBench: Benchmarking Nucleotide Foundation Models on Viral Genomics Tasks A Context Augmented Multi-Play Multi-Armed Bandit Algorithm for Fast Channel Allocation in Opportunistic Spectrum Access EMA-Nesterov: Stabilizing Nesterov's Lookahead for Accelerated Deep Learning Optimization Autoregression-Free Neural Operators for Time-Dependent PDEs Capture-Calibrate-Coach: A Graph-Based Framework for Knowledge Monitoring Estimation and Adaptive Feedback SeqRoute: Global Budget-Aware Sequential LLM Routing via Offline Reinforcement Learning Rethinking Feature Alignment in Generalist Graph Anomaly Detection: A Relational Fingerprint-based Approach Missing Pattern Recognized Diffusion Imputation Model for Missing Not At Random BigMac: Breaking the Pareto Frontier of Compute and Memory in Multimodal LLM Training From Simulation to Enaction: Post-trained language models recognize and react to their own generations JacQuant: STE-Free Quantization-Aware Training via Learned Jacobian Surrogates SafetyRepro: Configuration-Conditional Rank Instability on Alignment Benchmarks Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators Relative Repairability: A Calibration-Based Diagnostic for High-Sparsity Post-Pruning Allocation SAE-FD: Sparse Autoencoder Feature Distillation for Continual Learning of Large Language Models DeepSeekMath Meets Order Book: Group-Aware Policy Optimization for High-Frequency Directional Trading 'Si'multaneous 'S'patial-'T'emporal Message Passing for Dynamic Graph Representation Learning Learning Permutation from Structure Without Supervision RotMoLE: Enhancing Mixture of Low-Rank Experts through Rotational Gating Mechanism Geometric Flow Matching for Molecular Conformation Generation via Manifold Decomposition Learning Latent Dynamical Causal Processes for Single-Cell Perturbation Prediction Extreme Region Policy Distillation Generalized Evidential Deep Learning: From a Bayesian Perspective Towards the Connection between Activation Sparsity and Flat Minima Courtroom Analogy: New Perspective on Uncertainty-Aware Classification Analogies between Transformer Layers and Power Method Closed-Form Node Classification with Exact Graph Unlearning Opportunistic Target Selection: Early Directional Commitment for Query-Efficient Black-Box Adversarial Attacks Stochastic Estimation of the Layer-wise Hessian Trace for Monitoring Neural-network Training Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Evaluating passing decision-making in professional football: An enhanced MPNN approach to Receiver Selection How Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws The Behavioral Credibility Trilemma: When Calibrated Autonomy Becomes Impossible Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning Invariant-Based Weight Sharing for Message Passing MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training NPSolver: Neural Poisson Solver with Iterative Physics Supervision On the Benefits of Free Exploration for Regret Minimization in Multi-Armed Bandits On Reliability of Efficient Membership Inference Vulnerability Evaluation Visual-Redundancy-Controlled Parallel Decoding for Diffusion-Based Multimodal Large Language Models Context-Instrumental Data Distillation for Kubernetes Manifest Generation: Method and Experimental Evaluation Geometric Evolution Maps: Extracting Stable Concept Probes from Transformer Residual Streams When Self-Belief Misleads: Active Label Acquisition for Reinforcement Learning with Verifiable Rewards UNATE: UNsupervised ATomic Embedding for crystal structures property prediction The Quantization Benefits of Residual-Free Transformers Conformalised imprecise inference for robust extrapolation under limited data Optimal and Order-optimal Gated Priority-based Greedy Policies for Two-layer Multi-item Order Fulfillment Merge-Bench: Resolve Merge Conflicts with Large Language Models Predicting Stock Price Direction on Earnings Announcement Days using Multi-modal Deep Learning Reading the Finetuning Prior: Verbatim Content Recovery via Contrastive Decoding Diffing Joint Optimization of Training and Inference in Federated Edge Learning via Constrained Multi-Objective Deep Reinforcement Learning Quantitative Evaluation of the Severity of Posttraumatic Stress Disorder through Transfer Learning from Specific Phobia Data From Latent Space to Training Data: Explainable Specialization in Minimal MLPs STaT: Resolving Shape Distortion in Non-Stationary Time Series via Tri-Modal Synergy Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers Step-TP: A Grounded, Step-Level Dataset with Chain-of-Thought Reasoning for LLM-Guided Tensor Program Optimization Mapping the Schedule x Bit-Width Boundary in Sub-100M Quantisation-Aware Training Hidden in Plain Tokens: Simply Robust, Gradient-Free Watermark for Synthetic Audio Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models Deployment-complete benchmarking Causal methods for LLM development and evaluation Learning in Low-Dimensional Subspaces: Orthogonal Bottlenecks for Reinforcement Learning AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models Retrieval-Augmented Detection of Potentially Abusive Clauses in Chilean Terms of Service Length Generalization with Log-Depth Recurrent Units Neuronal Stochastic Attention Circuit (NSAC) for Probabilistic Representation Learning Conditional KRR: Injecting Unpenalized Features into Kernel Methods with Applications to Kernel Thresholding Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark Active Query Synthesis for Preference Learning Global Convergence of Wasserstein Policy Gradient for Entropy-Regularized Reinforcement Learning OrpQuant: Geometric Orthogonal Residual Projection for Multiplier-Free Power-of-Two Transformer Quantization Goal-driven Bayesian Optimal Experimental Design for Robust Decision-Making Under Model Uncertainty Forgetting in Language Models: Capacity, Optimization, and Self-Generated Replay Looped Diffusion Language Models Prism: A Plug-in Reproducible Infrastructure for Scalable Multimodal Continual Instruction Tuning Confidence Calibration in Large Language Models The Model Parking Tax: Quantifying the Hidden Energy Cost of Always-On GPU Model Deployment High-Risk AI Systems and the Problem of Identity in the European AI Act How Much Thinking is Enough? Quantifying and Understanding Redundancy in LLM Reasoning Quantum Frog: Emergent Cooperation and Difficulty Scaling in a Quantized-Time Cooperative Game When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure Fuzzy, Neutrosophic, and Uncertain Graph Theory: Properties and Applications BoxLitE: A Faithful Knowledge Base Embedding Based on Convex Optimization Authority Inversion in LLM-Mediated Ubiquitous Systems: When Models Trust Users Over Sensors DRIVE: Modeling Skills at the Reasoning and Interaction Levels for Web Agents under Continual Learning Game-Theoretic Modeling of Heterogeneous Investor Interactions for Stock Price Forecasting From Accuracy to Auditability: A Survey of Determinism in Financial AI Systems QUIVER: A Formal Framework for Quantifying Perturbation Propagation and Bifurcation in Compound AI Systems Low-Cost Labels, Reliable Choices: Rollout-Calibrated Hyper-Heuristics for Job Shop Scheduling Learning Protein Structure-Function Relationships through Knowledge-guided Representation Decomposition Multimodal Alignment and Preference Optimization for Zero-Shot Conditional RNA Generation From Index to Equity: Pre-Training Transformers for Stock Return Prediction LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs Physics-Guided Concentration Inference from Resistance Transients in a Mixed-Phase SnO-SnO$_2$ Carbon Monoxide Sensor with p-n Switching TSFLora: Token-Compressed Split Fine-Tuning for Wireless Edge Networks Quantification of atmospheric carbon dioxide from the Geostationary Operational Environmental Satellite (GOES East) Nano World Models: A Minimalist Implementation of Future Video Prediction IVR-R1: Refining Trajectories through Iterative Visual-Grounded Reasoning in Reinforcement Learning Diff-Instruct with Diffused Reward: Towards Principled One-step Generator RL Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving A Tabular Schedule Abstraction for Communication-Aware Evaluation of Pipeline-Parallel LLM Training Improving Ensemble CAPE Forecasts with a Diffusion Model Incorporating Aerosol Information MGVQ: Synergizing Multi-dimensional Sensitivity-Aware and Gradient-Hessian Fusion for Vector Quantization Towards Large Model Feature Coding Volatility Surface Reconstruction using Deep Learning under No-Arbitrage Constraints Aurora Hunter: A Two-Stage Framework for Probabilistic Visibility Forecasting Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic Uncertainty in Large Language Models Seeing Inside the Storm: Improving Nowcasting by Integrating Meteorological Drivers Optimal Non-Asymptotic Edgeworth Expansions for Multivariate Neural Network Outputs Multitask learning with semiempirical orbital charges enables sample-efficient MLIPs Causality as the Statistical Conscience of Artificial Intelligence: From Pearl's Ladder to Trustworthy Machines LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Detecting Metastable Basins in High Dimensions via Marginal Trajectory Distribution Discrimination MAPLE: Multi-State Aggregated Policy Evaluation for AlphaZero in Imperfect-Information Games EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture An Interpretable CF-RL-TOPSIS Fusion Model for Skills-Aware Talent Recommendation Inference Time Context Sparsity: Illusion or Opportunity? Learning dynamical systems with biochemically informed neural ordinary differential equations Extracting Training Data from Diffusion Language Models via Infilling AvalancheBench: Evaluating Enterprise Data Agents Through Latent World Recovery Music Transcription with (Almost) No Supervision Single View Seafloor Recovery from Imaging Sonar via Differentiable Rendering When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs Incorporating Deep Learning Design in Database Queries Distributionally Robust Transfer Learning with Structurally Missing Covariates, with Application to Cross-National Cardiac Arrest Prediction Towards Evaluation Engineering: An Empirical Study of ML Evaluation Harnesses in the Wild MEDAL: Manifold Embedding Distillation via Autoencoder Learning Concept Drift Adaptation Using Self-Supervised and Reinforcement Learning In Android Malware Detection An Empirical Evaluation of LLM-Generated Code Security Across Prompting Methods Enhancing Reliability in LLM-Based Secure Code Generation Discovering Lexical Gaps Using Embeddings from Multilingual LLMs A Matched Spectral Benchmark of Quantum Inspired Feature Maps Multicalibration Boosting: Theory, Convergence, and Transferability Structure-Aware RAG: Structured Retrieval Augmented Generation from Noisy Data for Conversational Agents Gaussian Rank-Based Neighborhood Degree for Graph Neural Networks in Image Classification Fermi-Dirac machines as quantizations of neurons The Model Is Not the Product: A Dual-Pillar Architecture for Local-First Psychological Coaching Poisoning the Watchtower: Prompt Injection Attacks Against LLM-Augmented Security Operations Through Adversarial Log Content Clustering based on Stochastic Dominance with application for risk averters and risk seekers Smoother Action Chunking Flow Policy via Prior-Corrected Orthogonal Trust-Region Guidance A Reinforcement Learning Inspired Latent Yield Based Adaptive Algorithm Switching Mechanism Vision-Guided Outdoor Flight and Obstacle Evasion via Reinforcement Learning Temporal Concept Drift in Legal Judgment Prediction: Neural Baselines Across Three Epochs of Ukrainian Court Decisions Asymmetric Adaptation-based Real-time Fault Diagnosis Under Transitional Operating Conditions SPACE: Unifying Symmetric and Asymmetric Routing Problems for Generalist Neural Solver Market Regime Council for Dynamic Credit Assignment in Multi-Agent LLM Decision Systems Implicit Binarization via Complex Phase Dynamics in Combinatorial Optimization {\Phi}-Noise: Training-Free Temporal Video Conditioning via Phase-Based Noise Manipulation AnnotateMissense: a genome-wide annotation and benchmarking framework for missense pathogenicity prediction Hypothesis Generation and Inductive Inference in Children and Language Models Steering Beyond the Support: Adversarial Training on Unsupervised Jailbroken Activation Simulation AI-Driven Adaptive Adversaries and the Erosion of Cryptographic Trust in Public Key Systems Jailbreak to Protect: Buffering and Reinforcing via Temporary Jailbreaking for Safe Fine-Tuning in Large Language Models The Multilingual Curse at the Retrieval Layer: Evidence from Amharic Summoning the Oracle to Slay It: Mitigating Look-Ahead Bias in Financial Backtesting with Large Language Models EMA: Effort Metric Attention for Anatomical Effort-Guided Human Motion Diffusion HeartBeatAI: An Interpretable and Robust Deep Learning Framework for Multi-Label ECG Arrhythmia Detection Physen-Noise2Noise: Physics-Guided Self-Supervised Defocus Deblurring with Bias Correction under Low-Light Conditions Learning to Reason Efficiently with A* Post-Training CSP-Atlas: Concept-Specific Neural Circuits in a Sparse Python Transformer Lattice theory and algebraic models for deep convolutional learning based on mathematical morphology Measuring the Depth of LLM Unlearning via Activation Patching Phase-Aware Wavelet-Based-Scattering Encoder-Decoder for Dense Predictions Demystifying the Mythos or Disrupting Bugonomics? From Zero-Day Asymmetry to Defender Remediation Throughput WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains How Many Tools Should an LLM Agent See? A Chance-Corrected Answer When Mean CE Fails: Median CE Can Better Track Language Model Quality Affinity Graph Connectivity in Convex Clustering Sum of Costs Diffusion with Dynamic Guidance for Motion Planning CALIBURN: A Regime-Sensitivity Study of Operationally Calibrated Streaming Intrusion Detection MDIA: A Multi-Agent Diagnostic Intelligence Pipeline on HealthBench Professional On the Sample Complexity of Robust Binary Hypothesis Testing Deep Learning-Enabled Prediction of Geoeffective CMEs Using SOHO and SDO Observations How Neural Reward Models Learn Features for Policy Optimization: A Single-Index Analysis Motion-Compensated Weight Compression CyberMaskQA: A Privacy-Aware Benchmark for Evaluating Large Language Models in Cybersecurity Question Answering From Theory to Decision Rule: Calibrating the Noisy-Label Crossover for Vision-Language Model Weak Supervision Across Three Medical-Imaging Benchmarks Lifted Schr\"odinger Bridges for Gaussian Mixture Endpoints: Projection Gaps and Path-Space Obstructions RouteScan: A Non-Intrusive Approach to Auditing MoE LLMs Safety via Expert Routing Telemetry Spiking the training data to correct for test set contamination DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Towards a Universal Causal Reasoner IV-Net: A neural network for elliptic PDEs with random and highly varying coefficients When Reasoning Hurts: Source-Aware Evaluation of Frontier LLMs for Clinical SOAP Note Generation SEED: Semi-supervised Continual MalwarE Detection for Tackling ConcEpt Drift on a BuDget MVR-cache: Optimizing Semantic Caching via Multi-Vector Retrieval and Learned Prompt Segmentation Estimating Mixture Distributions via Stochastic Mirror Descent HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos Memory-Induced Tool-Drift in LLM Agents ARCANE-PedSynth: Synthetic Multi-Pedestrian Datasets with Behavioural Crossing Annotations Mitigating Object Hallucinations in Vision-Language Models through Region-Aware Attention Recalibration Investigating the Interplay between Contextual and Parametric Chain-of-Thought Faithfulness under Optimization Cross-Domain Generalization Limits of Vision Foundation Models in Facial Deepfake Detection Bridging the Gap: Enabling Soft Actor Critic for High Performance Legged Locomotion Large Language Model Selection with Limited Annotations Learning, locomotion, and navigation of soft synthetic snakes in three-dimensional, heterogeneous environments Self-Balancing Gradient Allocation for Heterogeneity-Aware Feature Generation in Click-Through Rate Prediction Scaling up Energy-Aware Multi-Agent Reinforcement Learning for Mission-Oriented Drone Networks with Individual Reward Convex-Neural RRT*: Fast and Reliable Learning-Guided Sampling for High-Quality Robot Path Planning TRACE: A taxonomy-grounded synthetic dataset for teaching-program generation and session interpretation in Applied Behavior Analysis Multimodality Stacking with Blockwise missing values and application to the PIONeeR biomarkers study for prediction of resistance to immunotherapy Random Neural Network Expressivity for Non-Linear Partial Differential Equations QML-PipeGuard: Drift-Aware Behavioral Fingerprinting for Quantum Machine Learning Pipeline Integrity Security in the Fine-Tuning Lifecycle of Large Language Models: Threats, Defenses,Evaluation, and Future Directions Polynomial Context-Truncation Sensitivity in Autoregressive Language Models: Sequential Wyner-Ziv Bounds for KV Cache Compression RECTOR: Priority-Aware Rule-Based Reranking for Compliance-Aware Autonomous Driving Trajectory Selection Uncertainty-DTW for Sequences and Visual Tokens Counterfactually Safe Reinforcement Learning Trust-Aware Joint Feature-Prediction Discrepancy for Robust Domain Adaptation PQDT: Pseudo-Query Dual Transformer for Robust Point Cloud Restoration Beyond the Frontier: Stochastic Backtracking for Efficient Test-Time Scaling Rejoinder: The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review Nystr\"om Kernel Stein Discrepancy Tests Growing a Neural Network in Breadth, Depth, and Time Data-Specific Hyper-Parameter Design: A Paradigm Shift in Reservoir Computing First, do no harm: Breaking suicidogenic echo chambers in media recommendation Choosing Online Experiment Designs under Interference in Ads, Recommendations, and Member-Experience Systems Eureka: Intelligent Feature Engineering for Enterprise AI Cloud Resource Demand Prediction A Principled Self-Referenced Early Stopping Approach for Deep Image Prior Algorithms with Polynomially-Improved Approximation Factors for the $2 \rightarrow q$ Norm, and Applications A general tensor-structured compression scheme for efficient large language models Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers ERNIE-Image Technical Report Parameter-Efficient CT Reconstruction via Deep Graph Laplacian Regularization Learning manifold diffusion semigroups from graph transition matrices Generating 3D models from sketches of human faces using a combined approach of Convolutional Neural Networks, Procedural Modeling, and Contour Mapping A Signal-Language Foundation Model for Broad-Spectrum Cardiovascular Assessment from Routine Electrocardiography Different Statistical Perspectives for Understanding Generalisation in Graph Neural Networks Mean-Shift PCA by Knockoff Mean Guided Flow Matching for Forward and Inverse PDE Problems with Sparse Observations: Algorithm and Theory From DPPs to $k$-DPPs: identifiability analysis via spectral decomposition A Multimodal Framework for Dementia Detection via Linguistic and Acoustic Representation Learning TopoAlign: Topology-Aware Visual Representation Alignment BC Protocol: Structured Dual-Expert Dialogue for Eliciting High-Quality Chain-of-Thought Post-Training Data Rao-Blackwellized Score Matching on Manifolds Nonstationary Generalized Linear Bandits with Discounted Online Mirror Descent Optimal Design for Multinomial Logit Model with Applications to Best Assortment Identification DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning Decoding Stimulus Reconstruction-Based Auditory Attention Robustly in Unbalanced EEG Datasets Learning Sparse Compositional Functions with Norm-Constrained Neural Networks CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents When In-Distribution Gains Fail: Evaluating Weak-to-Strong Reward Models under Preference Shift Insuring Every Action: An Authority Frontier Framework for Runtime Actuarial Control of Autonomous AI Agents Reinforcement Learning from Denoising Feedback 3D Magnetic Field Reconstruction and Mapping with Physics-Informed Neural Networks StrTransformer: Source-Wise Structured Transformers for Unsupervised Blind Source Recovery PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting PowLU: An Activation Function for Stable Pre-Training of LLMs Machine Learning Multiscale Interactions FLOATBench: A Dataset and Benchmark for Floating Offshore Wind Turbine Tower Fatigue DeGRe: Dense-supervised Generative Reranking for Recommendation Concept Unlearning via Cross-Attention Activation Projection for Diffusion Models Efficient Benchmarking Is Just Feature Selection and Multiple Regression Geometry Adaptive Counterfactual Distribution Learning with Diffusion-Guided Smoothing Branched Signature Kernel Solvers for ODEs with rough Single-Trajectory signals Clarify, Abstain or Answer? Strategising in Conversation with Belief-Augmented Generation TIAR: Trajectory-Informed Advantage Reweighting for LLM Abstention Learning Minimax Limits of k-Fold Cross-Validation via Majority The Timing Dependencies of Trust: Speed, Accuracy, and cBCI Neuro-Decoupling in Human-AI Teams Capability and Robustness Cannot Both Be Free: An Information-Theoretic Bound for Vision-Language-Action Models Universal Activation Verbalizer: A Unified Framework for Cross-Model Activation Explanation Does Continued Pretraining on a Learner Corpus Improve Automated Essay Scoring on English Proficiency Tests? Evidence from EFCAMDAT Multi-Agent Systems are Mixtures of Experts: Who Becomes an Influencer? Building an Adversarial Malware Dataset by Family and Type: Generation, Evasion, and Poisoning Evaluation QUIET: A Multi-Blank Cascaded Story Cloze Benchmark for LLM Creative Generation Capability Creative Quality Alignment: Expert Tacit Knowledge Transfer via Chain-of-Thought Fine-Tuning Statistical Inference for Stochastic Gradient Descent Beyond Finite Variance A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot Segmentation, Classification, and Deblurring Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution CITYREP: A Unified Benchmark for Urban Representations Across Cities, Tasks, and Modalities When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges Accelerating Bayesian inverse design in computational fluid dynamics using neural operators Paris 2.0: A Decentralized Diffusion Model for Video Generation DiscoverPhysics: Benchmarking LLMs for Out-of-the-Box Scientific Thinking Squeezing Capacity from Multimodal Large Language Models for Subject-driven Generation From Model Scaling to System Scaling: Scaling the Harness in Agentic AI Unbalanced Incomplete Multi-view Clustering via the Scheme of View Evolution: Weak Views are Meat; Strong Views do Eat Double Self-weighted Multi-view Clustering via Adaptive View Fusion V3H: View Variation and View Heredity for Incomplete Multi-view Clustering Variable Clustering via Distributionally Robust Nodewise Regression Forgettable Federated Linear Learning with Certified Data Unlearning On the Communication Complexity of Decentralized Stochastic Bilevel Optimization Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNets Hadamard Representation: Scaffolding Performance Across Model-free RL Transformer-based few-shot learning for modeling Electricity Consumption Profiles with minimal data across thousands of domains Relative Translation Invariant Wasserstein Distance Investigating the Effect of Network Pruning on Performance and Interpretability CHESTNUT: A QoS Dataset for Mobile Edge Environments Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Iterative Feature Space Optimization through Incremental Adaptive Evaluation GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection ReactEmbed: A Plug-and-Play Module for Unifying Protein-Molecule Representations Guided by Biochemical Reaction Networks Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs FragmentNet: Adaptive Graph Fragmentation for Graph-to-Sequence Molecular Representation Learning Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations Kolmogorov-Arnold Fourier Networks ExplainReduce: Generating global explanations from many local explanations SURGE: On the Potential of Large Language Models as General-Purpose Surrogate Code Executors How does Bayesian Sampling help Membership Inference Attacks? Lean Formalization of Generalization Error Bound by Rademacher Complexity and Dudley's Entropy Integral Neural Integral Operators for Inverse Problems: An Operator-Learning Framework for Small-Sample Spectroscopic Classification InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models Dynamic Optimization and Safety Indicator Injection for Jailbreaking Text-to-Image Models with Multimodal Safety Filters Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective On the Interaction of Batch Noise, Adaptivity, and Compression, under $(L_0,L_1)$-Smoothness: An SDE Approach Adaptive Preconditioners Trigger Loss Spikes in Adam PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models FLoRIST: Singular Value Thresholding for Efficient and Accurate Federated Fine-Tuning of Large Language Models Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMs From Reasoning to Code: GRPO Optimization for Underrepresented Languages CopulaSMOTE: A Copula-Based Oversampling Approach for Imbalanced Classification in Diabetes Prediction Norm$\times$Direction: Restoring the Missing Query Norm in Vision Linear Attention A Generative Approach for Semantic Auditing of Electronic Health Records MathOptAI.jl: Embed trained machine learning predictors into JuMP models HiTeC: Hierarchical Contrastive Learning on Text-Attributed Hypergraph with Semantic-Aware Augmentation Introduction to the Analysis of Probabilistic Decision-Making Algorithms HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment Dynamic Relational Priming Improves Transformer in Multivariate Time Series Is GPT-4o mini Blinded by its Own Safety Filters? Exposing the Multimodal-to-Unimodal Bottleneck in Hate Speech Detection Nonconvex Decentralized Stochastic Bilevel Optimization under Heavy-Tailed Noise Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media HEAPr: Hessian-based Efficient Atomic Expert Pruning in Output Space URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-Training Bayesian Distributional Models of Executive Functioning Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models Fine-Tuning Masked Diffusion for Provable Self-Correction Dale meets Langevin: A Multiplicative Denoising Diffusion Model vAttention: Verified Sparse Attention XRPO: Pushing the limits of GRPO with Targeted Exploration and Exploitation Test-Time Graph Search for Goal-Conditioned Reinforcement Learning DeepEN: A Deep Reinforcement Learning Framework for Personalized Enteral Nutrition in Critical Care Small Ensemble-based Data Assimilation: A Machine Learning-Enhanced Data Assimilation Method with Limited Ensemble Size Clustered Calibration: Representation-Aware Probability Calibration via Learned Subpopulations Bi-CoG: Bi-Consistency-Guided Self-Training for Vision-Language Models Approximating Safety Feedback Without a Safety Oracle via Model Predictive Control Byzantine-Robust Federated Learning with Learnable Aggregation Weights Flat Minima and Generalization: Insights from Stochastic Convex Optimization Next-Latent Prediction Transformers Learn Compact World Models Guaranteeing Conservation of Integrals with Projection in Physics-Informed Neural Networks Smart Timing for Mining: A Deep Learning Framework for Bitcoin Hardware ROI Prediction Intrinsically Interpretable Attention via Sparse Post-Training Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction DIVER-1: Scaling Intracranial EEG Foundation Models for Transferable Representations PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models A Learning Stability Profile for Finite-Dimensional Learning Dynamics Multimodal Functional Maximum Correlation for Emotion Recognition Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction Extreme-value forest fire prediction A study of the Loss Function in an Ordinality Scheme PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes QASA: Quality-Aware Semantic Augmentation for Robust Multimodal Sentiment Analysis PID-Guided Partial Alignment for Multimodal Decentralized Federated Learning Future-KL Regularized GRPO: Process-Level Credit Assignment from $f$-Divergence Regularization Efficient Imputation for Patch-based Missing Single-cell Data via Cluster-regularized Optimal Transport Critical Organization of Deep Neural Networks, and p-Adic Statistical Field Theories The Geometric Mechanics of Contrastive Representation Learning: Alignment Potentials, Entropic Dispersion, and Cross-modal Divergence Safety Generalization Under Distribution Shift in Safe Reinforcement Learning: A Diabetes Testbed Dynamics Reveals Structure: Challenging the Linear Propagation Assumption One-Step Bellman Alignment Enables Provably Efficient Transfer in Online RL EvoEGF-Mol: Evolving Exponential Geodesic Flow for Structure-based Drug Design Stochastic Linear Bandits with Parameter Noise Partition of Unity Neural Networks for Interpretable Classification with Explicit Class Regions Depth, Not Data: An Analysis of Hessian Spectral Bifurcation PolySAE: Modeling Feature Interactions in Sparse Autoencoders via Polynomial Decoding Generative Visual Code Mobile World Models Towards Long-Horizon Interpretability: Efficient and Faithful Multi-Token Attribution for Reasoning LLMs Logic-Guided Vector Fields for Constrained Generative Modeling SPA-Cache: Singular Proxies for Adaptive Caching in Diffusion Language Models Scalable Explainability-as-a-Service (XaaS) for Edge AI Systems Generative Neural Operators through Diffusion Last Layer Counterfactual Explanations for Hypergraph Neural Networks Learning, Solving and Optimizing PDEs with TensorGalerkin: an efficient high-performance Galerkin assembly algorithm BlitzRank: Principled Zero-shot Ranking Agents with Tournament Graphs Muon in Associative Memory Learning: Training Dynamics and Scaling Laws Discrete diffusion samplers and bridges: Off-policy algorithms and applications in latent spaces LLM-SAA: LLM-persona Generated Distributions for Decision-making F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards UniComp: A Unified Evaluation of Large Language Model Compression via Pruning, Quantization and Distillation Multi-Level Strategic Classification: Incentivizing Improvement through Promotion and Relegation Dynamics Krause Synchronization Transformers Factored Latent Action World Models The Implicit Bias of Adam and Muon on Smooth Homogeneous Neural Networks MARS: Margin and Semantic-Aware Data Augmentation for Reward Modeling MoBiQuant: Mixture-of-Bits Quantization for Token-Adaptive Any-Precision LLM Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling Learning from Trials and Errors: Reflective Test-Time Planning for Embodied LLMs Induction Meets Biology: Mechanisms of Repeat Detection in Protein Language Models Task-Driven Subspace Decomposition for Knowledge Sharing and Isolation in LoRA-based Continual Learning MultiPUFFIN: A Multimodal Domain-Constrained Foundation Model for Molecular Property Prediction of Small Molecules Improved Scaling Laws via Weak-to-Strong Generalization in Random Feature Ridge Regression Grouter: Decoupling Routing from Representation for Accelerated MoE Training NEST: Network- and Memory-Aware Device Placement For Distributed Deep Learning One-for-All Model Initialization with Frequency-Domain Knowledge Hybrid Quantum Neural Network for Multivariate Clinical Time Series Forecasting Towards Understanding Adam Convergence on Highly Degenerate Polynomials GeMPO: Generalized Measure Matching for Online Diffusion Reinforcement Learning Optimal uncertainty bounds for multivariate kernel regression under bounded noise: A Gaussian process-based dual function Do Understanding and Generation Fight? A Diagnostic Study of DPO for Unified Multimodal Models Structural Abstraction as an Inductive Bias for Non-Stationary Language Model Training Discounted Beta-Bernoulli Reward Estimation for Sample-Efficient Reinforcement Learning with Verifiable Rewards Beyond Static Uncertainty: Modeling Temporal Uncertainty Dynamics for Probabilistic Time Series Forecasting ORACAL: A Robust and Explainable Multimodal Framework for Smart Contract Vulnerability Detection with Causal Graph Enrichment Scheduling LLM Inference with Uncertainty-Aware Output Length Predictions Temporal Dropout Risk in Learning Analytics: A Harmonized Survival Benchmark Across Dynamic and Early-Window Representations Design Conditions for Intra-Group Learning of Sequence-Level Rewards: Token Gradient Cancellation $\pi$-Play: Multi-Agent Self-Play via Privileged Self-Distillation without External Data Federation over Text: Insight Sharing for Multi-Agent Reasoning Rethinking the Comparison Unit in Sequence-Level Reinforcement Learning: An Equal-Length Paired Training Framework from Loss Correction to Sample Construction Knowing When to Quit: A Principled Framework for Dynamic Abstention in LLM Reasoning Mechanistic Anomaly Detection via Functional Attribution MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Score-Repellent Monte Carlo: Toward Efficient Non-Markovian Sampler with Constant Memory in General State Spaces Complex Stochastic Gradient Descent and Directional Bias in Reproducing Kernel Hilbert Spaces Prior-Agnostic Robust Forecast Aggregation Negative Ontology of True Target for Machine Learning: Towards Evaluation and Learning under Democratic Supervision Rethinking LLM Ensembling from the Perspective of Mixture Models NeuroViz: Real-time Interactive Visualization of Forward and Backward Passes in Neural Network Training Soft-to-Hard Routing in Sparse Mixture-of-Experts Models Efficient Preference Poisoning Attack on Offline RLHF A Closed-Form Persistence-Landmark Pipeline for Certified Point-Cloud and Graph Classification From Muscle Bursts to Motor Intent: Self-Supervised Token Modeling for Heterogeneous EMG LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment Internalizing Outcome Supervision into Process Supervision: A New Paradigm for Reinforcement Learning for Reasoning Full-Spectrum Graph Neural Networks: Expressive and Scalable Reward Shaping and Action Masking for Compositional Tasks using Behavior Trees and LLMs Trade-off Functions for DP-SGD with Subsampling based on Random Shuffling: Tight Upper and Lower Bounds E = T*H/(O+B): A Dimensionless Control Parameter for Mixture-of-Experts Ecology PACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization Modulated learning for private and distributed regression with just a single sample per client device Intelligent Truck Matching in Full Truckload Shipments using Ping2Hex approach FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Memorize Theorems, Not Instances: Probing SFT Generalization through Mathematical Reasoning Follow the Mean: Reference-Guided Flow Matching Real vs. Semi-Simulated: Rethinking Evaluation for Treatment Effect Estimation SURGE: Surrogate Gradient Adaptation in Binary Neural Networks HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Data Difficulty and the Generalization--Extrapolation Tradeoff in LLM Fine-Tuning GHGbench: A Unified Multi-Entity, Multi-Task Benchmark for Carbon Emission Prediction Architecture-Aware Explanation Auditing for Industrial Visual Inspection Turning Stale Gradients into Stable Gradients: Coherent Coordinate Descent with Implicit Landscape Smoothing for Lightweight Zeroth-Order Optimization Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement Composable Crystals: Controllable Materials Discovery via Concept Learning Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Rethinking Neural Network Learning Rates: A Stackelberg Perspective Reducing Credit Assignment Variance via Counterfactual Reasoning Paths How Few-Shot Examples Add Up: A Causal Decomposition of Function Vectors in In-Context Learning Active Budget Allocation for Efficient Scaling Law Estimation via Surrogate-Guided Pruning Position: State-of-the-Art Claims Require State-of-the-Art Evidence The Neural Tangent Kernel for Classification L-Drive: Beyond a Single Mapping-Latent Context Drives Time Series Forecasting A Simplex Witness Certificate for Constant Collapse in Variational Autoencoders KairosHope: A Next-Generation Time-Series Foundation Model for Specialized Classification via Dual-Memory Architecture Simply Stabilizing the Loop via Fully Looped Transformer Lying Is Just a Phase: The Hidden Alignment Transition in Language Model Scaling The Growing Pains of Frontier Models: When Leaderboards Stop Separating and What to Measure Next HypergraphFormer: Learning Hypergraphs from LLMs for Editable Floor Plan Generation Deep Neural Sheaf Diffusion Unlocking the Potential of Continual Model Merging: An ODE Perspective ClaimDiff-RL: Fine-Grained Caption Reinforcement Learning through Visual Claim Comparison Miller-Index-Based Latent Crystallographic Fracture Plane Reasoning and generation with Vision-Language Models The General Theory of Localization Methods LT2: Linear-Time Looped Transformers Decision-Path Patterns as Tree Reliability Signals: Path-based Adaptive Weighting for Random Forest Classification The Devil is in the Condition Numbers: Why is GLU Better than non-GLU Structure? Graph Navier Stokes Networks ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models Decomposing Ensemble Spread in Lorenz '96 With Learned Stochastic Parameterizations Relational Linear Properties in Language Models: An Empirical Investigation A Tutorial on Diffusion Theory: From Differential Equations to Diffusion Models ChronoVAE-HOPE: Beyond Attention -- A Next-Generation VAE Foundation Model for Specialized Time Series Classification The Matching Principle: A Geometric Theory of Loss Functions for Nuisance-Robust Representation Learning Convex Compositional Reasoning Models Automated Random Embedding for Practical Bayesian Optimization with Unknown Effective Dimension CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view Clustering Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles Automated regime classification in multidimensional time series data using sliced Wasserstein k-means clustering Compositional Semantics for Open Vocabulary Spatio-semantic Representations Train-Free Segmentation in MRI with Cubical Persistent Homology Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms Trained quantum neural networks are Gaussian processes Spurious Stationarity and Hardness Results for Bregman Proximal-Type Algorithms Incentivized Exploration with Stochastic Covariates: A Two-Stage Mechanism Design for Recommender System MirrorCheck: Efficient Adversarial Defense for Vision-Language Models A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs Querying structural and functional niches on spatial transcriptomics data A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations Re-examining Granger Causality with Causal Bayesian Networks and Reichenbachs Principles Split-Merge: A Difference-based Approach for Dominant Eigenvalue Problem An Efficient Learning Method to Connect Observables From Sleep Staging to Spindle Detection: A Case Study on End-to-End Automated Sleep Analysis Communication-Efficient Hybrid Language Model via Uncertainty-Aware Opportunistic and Compressed Transmission PhySense: Sensor Placement Optimization for Accurate Physics Sensing Plan for Speed: Dilated Scheduling for Masked Diffusion Language Models Hybrid least squares for learning functions from highly noisy data Fredholm Neural Networks for inverse problems in elliptic PDEs ToolRegistry: A Protocol-Agnostic Tool Management Library for Function-Calling LLMs QUTCC: Quantile Uncertainty Training and Conformal Calibration for Imaging Inverse Problems Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Designing Singing Syllabi with Virtual Avatars: AI-Assisted Syllabus Reauthoring Optimizing Token Choice for Code Watermarking: An RL Approach DASH: A Meta-Attack Framework for Synthesizing Effective and Stealthy Adversarial Examples Neural Stochastic Differential Equations on Compact State Spaces: Theory, Methods, and Application to Suicide Risk Modeling WhisTLE: Deeply Supervised, Text-Only Domain Adaptation for Pretrained Speech Recognition Transformers Some Robustness Properties of Label Cleaning Equip Pre-ranking with Target Attention by Residual Quantization What Happens Next? Anticipating Future Motion by Generating Point Trajectories Equation-Free Coarse Control of Distributed Parameter Systems via Local Neural Operators VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes One-shot Conditional Sampling: MMD meets Nearest Neighbors INSIGHT: INference-time Sequence Introspection for Generating Help Triggers in Vision-Language-Action Models Agent Learning via Early Experience Which Is Better For Reducing Outdated and Vulnerable Dependencies: Pinning or Floating? FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model $\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization False Fixed Points: Kantian Feedback, Stable Miscalibration, and Representational Compression in LLMs Bridging Earth and Space: A Survey on HAPS for Non-Terrestrial Networks A Spectral Framework for Graph Neural Operators: Convergence Guarantees and Tradeoffs FairJudge: Abstention-Aware Multimodal Judges for Fairness and Alignment Evaluation in Text-to-Image Models Robust inference using density-powered Stein operators BackWeak: Backdooring Knowledge Distillation Simply with Weak Triggers and Fine-tuning IPR-1: Interactive Physical Reasoner Understanding, Accelerating, and Improving MeanFlow Training Actionable and diverse counterfactual explanations incorporating domain knowledge and plausibility constraints AGI Requires a Coordination Layer on Top of Pattern Repositories Multi-Alignment Contrastive Learning for Enzyme--Reaction Retrieval FuXi-Nowcast: Environment-conditioned deep learning for severe convection nowcasting Hyperspectral Image Data Reduction for Endmember Extraction High-Entropy Tokens as Multimodal Failure Points in Vision-Language Models Implicit geometric regularization in flow matching via density weighted Stein operators RepetitionCurse: Measuring and Understanding Router Imbalance in Mixture-of-Experts LLMs under DoS Stress AnatomiX, an Anatomy-Aware Grounded Multimodal Large Language Model for Chest X-Ray Interpretation A universal vision transformer for fast calorimeter simulations Convergence Rate Analysis of the AdamW-Style Shampoo: Unifying One-Sided and Two-Sided Preconditioning CROCS: A Two-Stage Clustering Framework for Behaviour-Centric Consumer Segmentation with Smart Meter Data Turn-Based Structural Triggers: Prompt-Free Backdoors in Multi-Turn LLMs Delayed Assignments in Online Non-Centroid Clustering with Stochastic Arrivals Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation Diverse via bounded Agreement: Geometric Regularization for Multimodal Fusion BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models Refining Context-Entangled Content Segmentation via Curriculum Selection and Anti-Curriculum Promotion MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Reward-free Alignment for Conflicting Objectives CPMobius: Iterative Coach-Player Reasoning for Data-Free Reinforcement Learning Inference-Time Backdoors via Chat Templates: From LLM Supply Chains to Agentic System Compromise Physical Analogue Kolmogorov-Arnold Networks based on Reconfigurable Nonlinear-Processing Units Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning Why Agentic Theorem Prover Works: A Statistical Provability Theory of Mathematical Reasoning Models OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization All Leaks Count, Some Count More: Interpretable Temporal Contamination Detection and Mitigation in LLM Backtesting Global Sequential Testing for Multi-Stream Auditing TorchLean: Formalizing Neural Networks in Lean AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications Detecting Cognitive Signatures in Typing Behavior for Non-Intrusive Authorship Verification Feature Resemblance: Towards a Theoretical Understanding of Analogical Reasoning in Transformers PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching Rapid mixing in positively weighted restricted Boltzmann machines Generative modeling of granular flow on inclined planes using conditional flow matching Learning Preference-Based Objectives from Clinical Narratives for Dynamic Sepsis Treatment M$^\star$: Every Task Deserves Its Own Memory Harness Towards Universal Convergence of Backward Error in Linear System Solvers Depth Registers Unlock W4A4 on SwiGLU: A Reader/Generator Decomposition Optimal Exploration of New Products under Assortment Decisions FinSTaR: Towards Financial Reasoning with Time Series Reasoning Models Sparse Tokens Suffice: Jailbreaking Audio Language Models via Token-Aware Gradient Optimization Non-intrusive Body Composition Assessment from Full-body mmWave Scans An Uncertainty-Aware Resilience Micro-Agent for Causal Observability in the Computing Continuum Keeping Score: Efficiency Improvements in Neural Likelihood Surrogate Training via Score-Augmented Loss Functions Fill the GAP: A Granular Alignment Paradigm for Visual Reasoning in Multimodal Large Language Models Yield Curves Dynamics Using Variational Autoencoders Under No-arbitrage Persona-Model Collapse in Emergent Misalignment Reducing Bias and Variance: Generative Semantic Guidance and Bi-Layer Ensemble for Image Clustering Differentiable Learning of Lifted Action Schemas for Classical Planning One Step to the Side: Why Defenses Against Malicious Finetuning Fail Under Adaptive Adversaries Judge Circuits Multilingual OCR-Aware Fine-Tuning and Prompt-Guided Chain-of-Thought Reasoning for Multimodal Large Language Models Universal Graph Backdoor Defense: A Feature-based Homophily Perspective Uncertainty-Calibrated Recommendations for Low-Active Users SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop Reducing Diffusion Model Memorization with Higher Order Langevin Dynamics Variance-Reduced Manifold Sampling via Polynomial-Maximization Density Estimation ECUAS$_n$: A family of metrics for principled evaluation of uncertainty-augmented systems Multi-Modal Machine Learning for Population- and Subject-Specific lncRNA-Type 2 Diabetes Association Analysis TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting AMEL: Accumulated Message Effects on LLM Judgments MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models Is TabPFN the Silver Bullet for Insurance Pricing? SCRIPT: Scalable Diffusion Policy with Multi-stage Training for Language-driven Physics-based Humanoid Control KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis Learning Kernel-Based MDPs from Episodic Preferential FeedbackArxiv cs.AI
In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models Confidence Calibration in Large Language Models How Much Thinking is Enough? Quantifying and Understanding Redundancy in LLM Reasoning Context: Proactive Goal-Directed Intelligence via Composable Sandboxed Programs, Declarative Wiring, and Structured Interaction Toward Reliable Design of LLM-Enabled Agentic Workflows: Optimizing Latency-Reliability-Cost Tradeoffs Quantum Frog: Emergent Cooperation and Difficulty Scaling in a Quantized-Time Cooperative Game BODHI: Precise OS Kernel Specification Inference When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure Practical Quantum CIM Empowerment via All-Domestic-Core Agentic Large Model Operationalizing Reconstructive Authority: Runtime Construction, Dependency Resolution, and Execution Gating in Autonomous Agent Systems Fuzzy, Neutrosophic, and Uncertain Graph Theory: Properties and Applications BoxLitE: A Faithful Knowledge Base Embedding Based on Convex Optimization Authority Inversion in LLM-Mediated Ubiquitous Systems: When Models Trust Users Over Sensors DRIVE: Modeling Skills at the Reasoning and Interaction Levels for Web Agents under Continual Learning Residual Drift Dominates Contradiction in Multi-Turn Constraint Reasoning MEMOR-E: In-Context and Fine-Tuned LLM Personalization for Alzheimer's Assistive Robotics A Dynamical Framework for Cognitive Processes Based on Transformations and Semantic Equivalence Spacetime Formation under Requirements: Contextual Realization and Form-Dependent Probability Right-Sizing Communication and Recommendation Set Size in AI-Assisted Search Accelerating Long-Tail Generation in Synchronous RLHF Training via Adaptive Tensor Parallelism Stop Comparing LLM Agents Without Disclosing the Harness Methods for Formal Verification of Agent Skills: Three Layers Toward a Mechanically Checkable Capability-Containment Proof Machine Psychometrics: A Mathematical Psychology of Artificial Intelligence From Accuracy to Auditability: A Survey of Determinism in Financial AI Systems QUIVER: A Formal Framework for Quantifying Perturbation Propagation and Bifurcation in Compound AI Systems Low-Cost Labels, Reliable Choices: Rollout-Calibrated Hyper-Heuristics for Job Shop Scheduling LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs Why We Need World Models for AGI: Where LLMs Fail and How World Models May Outperform Saturating Scaling Laws for Equational Discovery: A Phenomenology of Growth Dynamics in Three Toy Substrates with Two Real-World Replications Beyond Predefined Learning Objects: A Thinking-Learning Interaction Model for Up-to-Date Autonomous Robot Learning Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward Decomposition EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic Uncertainty in Large Language Models EvoCode-Bench: Evaluating Coding Agents in Multi-Turn Iterative Interactions SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills MAPLE: Multi-State Aggregated Policy Evaluation for AlphaZero in Imperfect-Information Games HyperGuide: Hyperbolic Guidance for Efficient Multi-Step Reasoning in Large Language Models Neuro-Inspired Inverse Learning for Planning and Control Palette: A Modular, Controllable, and Efficient Framework for On-demand Authorized Safety Alignment Relaxation in LLMs Inference Time Context Sparsity: Illusion or Opportunity? EPPC-OASIS: Ontology-Aware Adaptation and Structured Inference Refinement for Electronic Patient-Provider Communication Mining in Secure Messages A Sober Look at Agentic Misalignment in Automated Workflows When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs Identifying and Mitigating Systemic Measurement Bias in Production LLM Inference Benchmarks Beyond Final Answers: Auditing Trajectory-Level Hallucinations in Multi-Agent Industrial Workflows How Well Do Models Follow Their Constitutions? Toward Enactive Artificial Intelligence Safety-Oriented Routing Analysis of Mixtral MoE Under Benign and Harmful Prompts When Does Synthetic Patent Data Help? Volume-Fidelity Trade-offs in Low-Resource Multi-Label Classification Adaptive Human-AI Coordination via Hierarchical Action Disentanglement Partner-Aware Hierarchical Skill Discovery for Robust Human-AI Collaboration Distilling Game Code World Model Generation into Lightweight Large Language Models A governance horizon for ethical-use constraints in open-weight AI models Understanding and Mitigating Premature Confidence for Better LLM Reasoning ConceptM$^3$oE: Concept-Guided Multimodal Mixture of Experts for Interpretable Computational Pathology Advancing Graph Few-Shot Learning via In-Context Learning The Model Is Not the Product: A Dual-Pillar Architecture for Local-First Psychological Coaching JT-SAFE-V2: Safety-by-Design Foundation Model with World-Context Data Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork SAM: State-Adaptive Memory for Long-Horizon Reasoning Agent SPACE: Unifying Symmetric and Asymmetric Routing Problems for Generalist Neural Solver AgentFugue: Agent Scaling for Long-Horizon Tasks through Collective Reasoning TIGER: Text-Informed Generalized Enzyme-Reaction Retrieval Market Regime Council for Dynamic Credit Assignment in Multi-Agent LLM Decision Systems Reasoning as an Attack Surface: Adaptive Evolutionary CoT Jailbreaks for LLMs Hypothesis Generation and Inductive Inference in Children and Language Models DemoEvolve: Overcoming Sparse Feedback in Agentic Harness Evolution with Demonstrations Emission-Aware Reinforcement Learning for Sustainable Electric Vehicle Charging and Carbon Dioxide Reduction Under Varying Renewable Penetration Beyond Control-Flow: Integrating the Resource Perspective into Multi-Collaborative Process Modeling from Text PALoRA: Projection-Adaptive LoRA for Preserving Reasoning in Large Language Models Jailbreak to Protect: Buffering and Reinforcing via Temporary Jailbreaking for Safe Fine-Tuning in Large Language Models Summoning the Oracle to Slay It: Mitigating Look-Ahead Bias in Financial Backtesting with Large Language Models Associations between echocardiographic traits and AI-ECG predictions of heart failure HeartBeatAI: An Interpretable and Robust Deep Learning Framework for Multi-Label ECG Arrhythmia Detection Learning to Reason Efficiently with A* Post-Training Hera: Learning Long-Horizon Coordination for Device-Cloud Collaborative LLM Agents Agent-as-Peer-Debriefer: A Multi-Agent Framework with Perspective-Based Refinement for Qualitative Analysis Lattice theory and algebraic models for deep convolutional learning based on mathematical morphology GlobalDentBench: A Multinational Benchmark for Evaluating LLM Clinical Reasoning in Dentistry with Expert Calibration AVBench: Human-Aligned and Automated Evaluation Benchmark for Audio-Video Generative Models Beyond Inference-Only Deployment: Comparing Weight-Based Consolidation Against Cascading Compaction Measuring Reasoning Quality in LLMs: A Multi-Dimensional Behavioral Framework When Mean CE Fails: Median CE Can Better Track Language Model Quality Exploration of Perceptual Speech Features for Clinical Decision-Support in Mental Health Care Emotional intelligence in large language models is fragmented across perception, cognition, and interaction MDIA: A Multi-Agent Diagnostic Intelligence Pipeline on HealthBench Professional Fundamental Limitation in Explaining AI Hylos: Operability Contracts for Model-Native Spatial Intelligence Automated Detection and Classification of Delusion-related Content in Naturalistic Audio Diaries Using Multi-Agent Language Models Proper Scoring Rules for Agentic Uncertainty Quantification Uncertainty Decomposition via Cyclical SG-MCMC and Soft-label Learning for Subjective NLP PRIMA: Operational Patterns for Resilient Multi-Agent Research with Verifiable Identity and Convergent Feedback GRAIL: AI translation for scientists application workflow on satellite data PANDO: Efficient Multimodal AI Agents via Online Skill Distillation CoRe-Code: Collaborative Reinforcement Learning for Code Generation Agent Manufacturing: Foundation-Model Agents as First-Class Industrial Entities Test-Time Deep Thinking to Explore Implicit Rules Geo-Expert: Towards Expert-Level Geological Reasoning via Parameter-Efficient Fine-Tuning Solving Combinatorial Counting Problems with Weighted First-Order Model Counting Clustering as Reasoning: A $k$-Means Interpretation of Chain-of-Thought Graph Learning Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications TaBIIC2: Interactive Building of Ontological Taxonomies using Weighted Self-Organizing Maps ProActor: Timing-Aware Reinforcement Learning for Proactive Task Scheduling Agents Noise-Robust Financial Numerical Entity Attribute Tagging Energy Shields for Fairness Towards Multi-Turn Dialog Systems for Industrial Asset Operations and Maintenance Mitigating Object Hallucinations in Vision-Language Models through Region-Aware Attention Recalibration NeurIPS: Neuro-anatomical Inductive Priors for Sphere-based Brain Decoding Privacy-Preserving Local Language Models for Longitudinal Data Retrieval in Chronic Dermatologic Disease: Implementation in Pemphigus Patients AION: Next-Generation Tasks and Practical Harness for Time Series Evolutionary Enhanced Multi-Agent Reinforcement Learning for Cooperative Air Combat RECTOR: Priority-Aware Rule-Based Reranking for Compliance-Aware Autonomous Driving Trajectory Selection Trust but Verify: Prover-Verifier Deliberation for Selective LLM Prediction Beyond the Frontier: Stochastic Backtracking for Efficient Test-Time Scaling Representation Without Control: Testing the Realization Effect in Language Models SimuWoB: Simulating Real-World Mobile Apps for Fast and Faithful GUI Agent Benchmarking SpecAlign: A Semantic Alignment Framework for SystemVerilog Assertion Generation DarkForest: Less Talk, Higher Accuracy for Multi-Agent LLMs Boosting Inference with Guided Reasoning: Stochastic Exploration for Recursive Models Meta-Agent: From Task Descriptions to Verified Multi-Agent Systems FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization LipoAgent: Coordinating Fine-Tuned LLM Agents for Safer Lipid Design Whose Alignment? Comparing LLM Process Alignment Across Diverse Organizational Decision Contexts AI Cartography: Mapping the Latent Landscape of AI Benchmark Ecosystems Context-CoT: Enhancing Context Learning via High-Quality Reasoning Synthesis Second Guess: Detecting Uncertainty Through Abstention and Answer Stability in Small Language Models Towards end-to-end LLM-based censoring-aware survival analysis CODESKILL: Learning Self-Evolving Skills for Coding Agents Security of OpenClaw Agents: Fundamentals, Attacks, and Countermeasures A Signal-Language Foundation Model for Broad-Spectrum Cardiovascular Assessment from Routine Electrocardiography ATWL: A Formal Language for Representing, Comparing, and Reusing Visual Analytics Workflows Credit Assignment with Resets in Language Model Reasoning What Gets Cited: Competitive GEO in AI Answer Engines StructBreak: Structural Cognitive Overload-Induced Safety Failures in MLLMs Personalize-then-Store: Benchmarking and Learning Personalized Memory for Long-horizon Agents ADMFormer: An Adaptive-Decomposition Transformer with Time-Varying Masked Spatial Attention for Traffic Forecasting PHGNet: Prototype-Guided Hypergraph Construction for Heterogeneous Spatiotemporal Forecasting Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching Uncertainty Reasoning with Large Language Models for Explainable Disease Diagnosis Detecting Unfaithful Chain-of-Thought via Circuit-Guided Internal-External Discrepancy Back to Parsimonious Latents: Learning Task-Centric World Models from Visual Foundations CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents Insuring Every Action: An Authority Frontier Framework for Runtime Actuarial Control of Autonomous AI Agents AgentHijack: Benchmarking Computer Use Agent Robustness to Common Environment Corruptions FLOATBench: A Dataset and Benchmark for Floating Offshore Wind Turbine Tower Fatigue Learning to Search and Searching to Learn for Generalization in Planning A Deep Dive into Axiomatic Design -- Part I: Problem Formulation Agent-Centric Social Trajectory Prediction: A Free Energy Principle Perspective When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs Behind EvoMap: Characterizing a Self-Evolving Agent-to-Agent Collaboration Network MuCRASP: Multimodal Chain-of-thought Reasoning aware Structured Pruning From Accounting to Coordination: A Virtual Water-Aware Electricity-Computation-Water Nexus Framework for Data Center Dispatch $D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Explore Before You Solve: The Speed--Depth Trade-off in Epistemic Agents for ARC-AGI-3 LECTOR: Joint Optimization of Scientific Reasoning Graphs and Introduction Generation Neural Scalable Symbolic Search Framework for Complex Logical Queries with Multiple Free Variables CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists CITYREP: A Unified Benchmark for Urban Representations Across Cities, Tasks, and Modalities L2IR: Revealing Latent Intent in Graph Fraud Detection Retrying vs Resampling in AI Control VeriTrace: Evolving Mental Models for Deep Research Agents Claw-Anything: Benchmarking Always-On Personal Assistants with Broader Access to User's Digital World From Model Scaling to System Scaling: Scaling the Harness in Agentic AI MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research LETS Forecast: Learning Embedology for Time Series Forecasting Tokenizer Fertility and Zero-Shot Performance of Foundation Models on Ukrainian Legal Text: A Comparative Study Check Your LLM's Secret Dictionary! Five Lines of Code Reveal What Your LLM Learned (Including What It Shouldn't Have) AI-Driven Alpha Decay: Algorithmic Homogenization, Reflexive Signal Erosion, and the Paradox of Intelligent Markets Document Classification Pattern Recognition via Information Fusion: A Systematic Review of Multimodal and Multiview Representation Approaches Raon-Speech Technical Report VineLM: Trie-Based Fine-Grained Control for Agentic Workflows Agent-Facing Information Design in LLM Tool Registries Artificial Effort Authority Signals in Claude AI Health Citations: A Descriptive Analysis Using the Authority Signals Framework High-Risk AI Systems and the Problem of Identity in the European AI Act Catching The Correct Answer Trap: Characterising AI Tutor Blind Spots When Analysing Student Reasoning KT4EQG: Personalized Exercise Question Generation via Knowledge Tracing AI-Driven Controlled Environment Agriculture as Resilient Infrastructure for U.S. Fresh-Produce Supply Chains SODE: Analyzing Social Dynamics in LLM Agents EchoDistill:Alignment Noisy-to-Clean Self-Distillation for Robust Audio LLMs AI in the Enterprise: How People Use M365 Copilot Chat Multimodal Alignment and Preference Optimization for Zero-Shot Conditional RNA Generation Multi-market value-stacking: Battery control for combined imbalance participation and non-uniform FCR bidding TriVAL: A Tri-Validation Framework for Faithful Automatic Optimization Modeling Sensing Intelligence as a Trainable Metamaterial Property Metacognition Should Be the Scientific Framework for Bounded and Effective Self-Governance in Generative AI Parameter Efficient Multi-Class Intelligent Scheduling for Multimodal Online Distributed Industrial Anomaly Detection MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing A World Model of Radiologist Reading for Medical Image Representation Learning Nano World Models: A Minimalist Implementation of Future Video Prediction RAW: Robust Avatar Watermarking -- Benchmarking and Baseline Task-Aligned Self-Supervised Learning for Medical Image Analysis: A Systematic Review and Practical Design Guidelines IVR-R1: Refining Trajectories through Iterative Visual-Grounded Reasoning in Reinforcement Learning Diff-Instruct with Diffused Reward: Towards Principled One-step Generator RL Harnessing AtomisticSkills for Agentic Atomistic Research Remote sensing data imputation using deep learning for multispectral imagery ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models SA-Kura: An Energy-Efficient Systolic Array Accelerator for Locally-Coupled Kuramoto Drift in Diffusion Sampling Machine Intelligence that Understands Visual and Linguistic Information and Interacts with Humans and Environments WTKO-CNN: Deep Learning Reveals Sequence Motifs Distinguishing Wild-Type and Knockout ATAC-seq Peaks Mode-as-Sequence: Translating Multimodal Motion Prediction into Unified Sequential Mode Modeling Iterative Refinement Neural Operators are Learned Fixed-Point Solvers: A Principled Approach to Spectral Bias Mitigation Hidden-State Privacy Has an Empty Middle LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs A Large-Scale Dataset and Benchmark: Do Protein-Ligand Models Learn Binding Sites or Just Binding Likelihood? Mixture of Complementary Agents for Robust LLM Ensemble More Skills, Worse Agents? Skill Shadowing Degrades Performance When Expanding Skill Libraries Truthful Online Preference Aggregation for LLM Fine-Tuning in Mobile Crowdsourcing Cascade-KDE: Robust Time-Series Restoration under Out-of-Distribution Impulse Corruptions Feature Lottery? A Bifurcation Theory of Concept Emergence Signs Beat Floats: Low-Rank Double-Binary Adaptation for On-Device Fine-Tuning Spectral Probe-Circuits: A Three-Step Recipe for Identifying Attention-Head Circuits in Pretrained Transformers Federated Learning over Human-Body Communication for On-Body Edge Intelligence: A Survey, Taxonomy, and BODYFED-HBC Scheduling Vignette Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion When the Manual Lies: A Realistic Benchmark to Evaluate MCP Poisoning Attacks for LLM Agents Not All Transitions Matter: Evidence from PPO TRACER: A Semantic-Aware Framework for Fine-Grained Contamination Detection in Code LLMs Verified SHAP: Provable Bounds for Exact Shapley Values of Neural Networks The Time is Here for Just-in-Time Systems: Challenges and Opportunities Overcoming "Physics Shock" in Earth Observation A Heteroscedastic Uncertainty Framework for PINN-based Flood Inference MASt3R-Nav: WayPixel Navigation in Relative 3D Maps Empirical Analysis and Detection of Hallucinations in LLM-Generated Bug Report Summaries Understanding Conversational Patterns in Multi-agent Programming: A Case Study on Fibonacci Game Development An Interpretable CF-RL-TOPSIS Fusion Model for Skills-Aware Talent Recommendation Knowledge Graph Modulated Deep Learning for Limited-Sample Clinical Data Analysis PromptAudit: Auditing Prompt Sensitivity in LLM-Based Vulnerability Detection Extracting Training Data from Diffusion Language Models via Infilling Human-AI Collaboration in Science at Scale: A Global Large-scale Randomized Field Experiment AvalancheBench: Evaluating Enterprise Data Agents Through Latent World Recovery Filtered Posterior Mean Collections: A Unified Framework for Analytical Models of Diffusion Generalization Teaching Through Analogies: A Modular Pipeline for Educational Analogy Generation Distributionally Robust Transfer Learning with Structurally Missing Covariates, with Application to Cross-National Cardiac Arrest Prediction Towards Evaluation Engineering: An Empirical Study of ML Evaluation Harnesses in the Wild Agent-ToM: Learning to Monitor Autonomous LLM Agents via Theory-of-Mind Reasoning Unlocking Apple's Private Cloud Compute: An Analysis of Privacy-Preserving Artificial Intelligence GIBLy: Improving 3D Semantic Segmentation through an Architecture-Agnostic Lightweight Geometric Inductive Bias Layer Improving Labeling Consistency with Detailed Constitutional Definitions and AI-Driven Evaluation Attested Tool-Server Admission: A Security Extension to the Model Context Protocol CRISP -- Clustering-Based Redundancy-Reduced Instance Sampling for Pathology Case Representation and Retrieval An Interactive Paradigm for Deep Research Concept Drift Adaptation Using Self-Supervised and Reinforcement Learning In Android Malware Detection Benchmarking Patent Embeddings: A Multi-Task Evaluation of 22 Models Across Retrieval, Classification, and Clustering An Empirical Evaluation of LLM-Generated Code Security Across Prompting Methods Enhancing Reliability in LLM-Based Secure Code Generation ArtSplat: Feed-Forward Articulated 3D Gaussian Splatting from Sparse Multi-State Uncalibrated Views ChaosBench-Logic v2: Evaluating LLM Logical Reasoning over Dynamical Systems at Scale ScaleAcross Explorer: Exploring Communication Optimization for Scale-Across AI Model Training Treatment Effect Estimation with Differentiated Networked Effect on Graph Data Assessing the Operational Viability of Foundation Models for Time Series Forecasting Side-by-side Comparison Amplifies Dialect Bias in Language Models MX-SAFE: Versatile Inference- and Training-Proof Microscaling Format with On-the-Fly Exponent and Mantissa Bit Allocation VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation Generative OOD-regularized Model-based Policy Optimization Batch Normalization Amplifies Memorization and Privacy Risks Momentum Streams for Optimizer-Inspired Transformers Temporal Concept Drift in Legal Judgment Prediction: Neural Baselines Across Three Epochs of Ukrainian Court Decisions Code2UML: Agentic LLMs with context engineering for scalable software visualization Balancing Fairness, Privacy, and Accuracy: A Multitask Adversarial Framework for Centralized Data-Driven Systems Coarse-to-Fine Domain Incremental Learning with Attentive Distillation for Mining Footprint Segmentation in Multispectral Imagery Robust Fuzzy Multi-view Learning under View Conflict FoodMonitor: Benchmarking MLLMs for Explainable Compliance Analysis {\Phi}-Noise: Training-Free Temporal Video Conditioning via Phase-Based Noise Manipulation Adaptive Punishment for Cooperation in Mixed-Motive Games Grammatically-Guided Sparse Attention for Efficient and Interpretable Transformers TRAFA: Anticipating User Actions to Reduce Errors in Procedural Tasks with Predictive Feedback Is Decentralized AI Governable? From Regulative Policy to Constitutive Protocol SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors AI-Driven Adaptive Adversaries and the Erosion of Cryptographic Trust in Public Key Systems Rethinking Federated Unlearning via the Lens of Memorization PEDESTRIANQA: A Benchmark for Vision-Language Models on Pedestrian Intention and Trajectory Prediction PILOT: Policy-Informed Learned Optimization for Adaptive Deep Network Training Polymorphism Is Rotation: Operational Mechanistic Interpretability from a Two-Layer Transformer to Pythia-70m LAPLEX: The FFT of Learnable Laplace Kernels Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory Catching MRI outliers: unsupervised detection and localization of MRI artefacts and clinical anomalies using deep learning Guarded Repair for Harm-Aware Post-hoc Replacement of LLM Mathematical Reasoning Measuring the Depth of LLM Unlearning via Activation Patching Phase-Aware Wavelet-Based-Scattering Encoder-Decoder for Dense Predictions Beyond Generative Priors: Minority Sampling with JEPA-Guided Diffusion Demystifying the Mythos or Disrupting Bugonomics? From Zero-Day Asymmetry to Defender Remediation Throughput DisDop: Distillation with Domain Priors for Open-Vocabulary Aerial Object Detection On the Stability and Realizability of Recurrent Polynomial Surrogate Ternary Logic Gate Networks How Many Tools Should an LLM Agent See? A Chance-Corrected Answer CyBOKClaw: Human-in-the-Loop CyBOK Mapping for Cybersecurity Curriculum VaaWIT: Visual-Aware Adaptation of Large Language Models for Multilingual Web Image Translation Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs Beyond the Aggregation Dilemma: Prior-Retaining Decoupled Learning for Multimodal Graphs HoloFair: Unified T2I Fairness Evaluation and Fair-GRPO Debiasing The Path Matters: Learning a Token-Commitment Policy for Diffusion Language Models TS-Skill: A Benchmark for Evaluating Analytical Skills in Time-Series Question Answering World-State Transformations for Neuro-symbolic Interactive Storytelling Who judges the judges? Governance from metrics: a runtime framework for continuous LLM compliance monitoring Bilevel Optimization of Synthetic Trajectories for Multi-Turn LLM Fine-Tuning Motion-Compensated Weight Compression Spectral Retrieval: Multi-Scale Sinc Convolution over Token Embeddings for Localized Retrieval in LLM Multi-Agent Systems Leveraging pretrained RGB denoisers for hyperspectral image restoration From Theory to Decision Rule: Calibrating the Noisy-Label Crossover for Vision-Language Model Weak Supervision Across Three Medical-Imaging Benchmarks Complement Submodular Information Measures for Balanced and Robust Data Selection CONF-KV: Confidence-Aware KV Cache Eviction with Mixed-Precision Storage for Long-Horizon LLM Parameter-Efficient VLMs for Gastrointestinal Endoscopy: Medical Image Generation and Clinical Visual Question Answering Divide-and-Conquer Inference for Large-Scale Visual Recognition with Multimodal Large Language Models Zero-Shot Parkinson's Disease Detection from Speech: Comparing Large Audio and Language Models Disentangled Double Machine Learning for Accurate Causal Effect Estimation Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning Multiscale Real-Time Object Detection in the NMS-Free Era: A Comparative Performance Evaluation of YOLOv8 and YOLO26 Reflect-Guard: Enhancing LLM Safeguards against Adversarial Prompts via Logical Self-Reflection Adversarial Error Correction for Visual Autoregressive Generation Tiny Brains, Giant Impact: Uncovering the Keystone Neurons of LLM with Just a Few Prompts The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Towards a Universal Causal Reasoner When Reasoning Hurts: Source-Aware Evaluation of Frontier LLMs for Clinical SOAP Note Generation On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting Explainable Retinal Imaging for Prediction of Multi-Organ Dysfunction in Type 2 Diabetes Explainable Multi-Task Retinal Imaging Reveals Microvascular Signals for Systemic Risk Stratification in Type 2 Diabetes: A Pilot Study Quaternion Self-Attention with Shared Scores HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos Your Embedding Model is SMARTer Than You Think Riemannian-Manifold Steering: Geometry-Aware Generative Autoencoders for Label-Free Steering RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challenges APT-Agent: Automated Penetration Testing using Large Language Models SEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial Attack Investigating the Interplay between Contextual and Parametric Chain-of-Thought Faithfulness under Optimization Cross-Domain Generalization Limits of Vision Foundation Models in Facial Deepfake Detection OSDTW: Optimal Shared Depth and Task Weighting for Long-Tailed Recognition TGFormer: Towards Temporal Graph Transformer with Auto-Correlation Mechanism MinerU-Popo: Universal Post-Processing Model for Structured Document Parsing Bridging the Gap: Enabling Soft Actor Critic for High Performance Legged Locomotion Selective Test-Time Compute Scaling for Click-Through Rate Prediction via Uncertainty-Triggered Feature Path Exploration Scaling up Energy-Aware Multi-Agent Reinforcement Learning for Mission-Oriented Drone Networks with Individual Reward Interpretation, Learning, and Empathy as One Constraint: A Residual-Adequacy Architecture with Accountable Abstention Metropolis-Scale Resilient and Trustworthy Traffic Flow Inference Using Multi-Source Data Performance Comparison of Classical and Neural Sampling Algorithms for Robotic Navigation D3S2: Diffusion-Guided Dataset Distillation for Semantic Segmentation Language Bias in LVLMs: From In-Depth Analysis to Simple and Effective Mitigation TinyFormer: Preserving Tiny Objects in YOLO-DETRHybridReal-time Detectors Scale When Needed: Adaptive Neuron-level Mixed Precision Quantization Aware Training Intent Signal Theory: A Computational Framework for Intent-State Control in Human-AI Interaction GL-LFGNN:A Global-Local Dual-branch Causal Graph Neural Network Based on Liang-Kleeman Information Flow for EEG Emotion Recognition Cultivating Machine Intelligence: The OMEGA Shift from Top-Down Optimization to Autopoietic Cognitive Ecologies Security in the Fine-Tuning Lifecycle of Large Language Models: Threats, Defenses,Evaluation, and Future Directions Polynomial Context-Truncation Sensitivity in Autoregressive Language Models: Sequential Wyner-Ziv Bounds for KV Cache Compression Multi-Agent Specification-based Metamorphic Testing of FMU-Based Simulations Leveraging Gauge Freedom for Learning Non-Gradient Population Dynamics of Stochastic Systems Uncertainty-DTW for Sequences and Visual Tokens Courant: a State-Adaptive Perceiver-Based Neural Surrogate with Local Support and Interpretable Field Decomposition Trust-Aware Joint Feature-Prediction Discrepancy for Robust Domain Adaptation Evidence-Linked Radiology Reporting: A Human-Supervised Reference Architecture for Structured Imaging Intelligence Inference-Time Alignment of Diffusion Models via Trust-Region Iterative Twisted Sequential Monte Carlo Theoretical Analysis of Sparse Optimization with Reparameterization, Weight Decay, and Adaptive Learning Rate ASTRO: Adaptive Spatio-Temporal Reinforcement Optimization for GNN Powered Anomly Detection in Cyber Physical Systems LLM Agent Based Renewable Energy Forecasting Using Edge and IoT Data A Review of Solar Wind Weather and Grid Aware Decision Support Abduction-Deduction Entanglement: Domain Generalization via Representation Transplants STREAM: A Data-Centric Framework for Mining High-Value Task-Oriented Dialogues from Streaming Media K-U-KAN: Koopman-Enhanced U-KAN for 3D Dental Reconstruction from a Single Panoramic X-ray Radiograph AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting Methodology for Creating a Clinically Verified Dermoscopic Image Dataset Grow-Prune-Freeze Networks: Adaptive & Continual Learning Technique for Olfactory Navigation Knowledge Graph-Driven Expert-Level Reasoning for Neuroscience By Their Fruits You Will Know Them: Comparing Formalizations of Law by the Decisions They Encode Beyond Killer Robots: General AI Attitudes and Public Support for Military AI in Nine Countries Hide to Guide: Learning via Semantic Masking Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning Continuous-Depth Field Theory for Transformer Patching and Mechanistic Interpretability Specification-Based Code-Text-Code Reengineering for LLM-Mediated Software Evolution On the Epistemic Uncertainty of Overparametrized Neural Networks Constraint-Anchored Attribution: Feasibility-Certified Counterfactuals and Bonferroni-PAC Sufficient Subsets for Neural CO Policies JudgmentBench: Comparing Rubric and Preference Evaluation for Quality Assessment Quantifying Empirical Compute-Supervision Tradeoffs in RLVR Guess the Unified Model: How Much Can We Recover from Generated Images? First, do no harm: Breaking suicidogenic echo chambers in media recommendation Mimir: Large-scale Multilingual Concept Modeling Latent Q-Barrier Shielding for Safe In-Context Reinforcement Learning Positivity in classical enumerative geometry: a case study in synchronized AI-assisted mathematics READER: Reasoning-Enhanced AI-Generated Text Detection Neuromorphic LiDAR-based Bird's Eye View Object Detection using Energy-efficient Spiking Neural Networks Eureka: Intelligent Feature Engineering for Enterprise AI Cloud Resource Demand Prediction UWM-JEPA: Predictive World Models That Imagine in Belief Space CausalFlow: Causal Attribution and Counterfactual Repair for LLM Agent Failures A general tensor-structured compression scheme for efficient large language models Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers Parameter-Efficient CT Reconstruction via Deep Graph Laplacian Regularization Certified Robustness from Approximate Gaussian Mixture Structures in Pretrained Latent Spaces AI-Associated Lexical Shifts Across 34 Languages: Cross-Lingual Convergence and Diachronic Uptake in News Writing KYA: A Framework-Agnostic Trust Layer for Autonomous Systems with Verifiable Provenance and Hierarchical Policy Composition Adversarial Orthogonal Disentanglement for LVLM Hallucination Mitigation CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance Evo-Attacker: Memory-Augmented Reinforcement Learning for Long-Horizon Tool Attacks on LLM-MAS Subspace-Guided Semantic and Topological Invariant Registration for Annotation-Free Ultrasound Plane Quality Control Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation Autoregression-Free Neural Operators for Time-Dependent PDEs SomaliBench Eval: Measuring English-to-Somali Refusal Gaps in Open-Weight Language Models A Token/KV-Cache Communication Media Selection and Resource Allocation Strategy for Multi-Agent Collaboration SeqRoute: Global Budget-Aware Sequential LLM Routing via Offline Reinforcement Learning Binding Visual Features Point by Point A Multi-Agent LLM Framework for Rating the Quality of Surgical Feedback AI Content Moderation in Therapy Conversations From Simulation to Enaction: Post-trained language models recognize and react to their own generations IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference EXPO-FT: Sample-Efficient Reinforcement Learning Finetuning for Vision-Language-Action Models Test-Time Self-Adaptive Conditioning for Stable Audio-Driven Talking-Head Generation A Controlled Synthetic Benchmark for Educational Aspect-Based Sentiment Analysis Generative AI impacts on intra-urban inequality and skill premium in Beijing Cross-Stage Attention Multi-Expert Network for Radiologist-Inspired Breast Ultrasound Diagnosis A Tertiary Review of Large Language Model-Based Code Generating Tasks: Trends, Challenges, and Future Directions TopoAlign: Topology-Aware Visual Representation Alignment 'Si'multaneous 'S'patial-'T'emporal Message Passing for Dynamic Graph Representation Learning BC Protocol: Structured Dual-Expert Dialogue for Eliciting High-Quality Chain-of-Thought Post-Training Data Keep the Proof State Live: Snapshotting for Efficient Tactic Search in Lean 4 PennySynth: RAG-Driven Data Synthesis for Automated Quantum Code Generation Mosaic: Compositional Multi-Concept Erasure via Vector Field Blending Geometric Flow Matching for Molecular Conformation Generation via Manifold Decomposition Extreme Region Policy Distillation Acting on the Unseen: Communication-Free Collaborative Filtering for Decentralized Multi-Robot Task Allocation Toward a Benchmark for Controllable Simulation of Imperfect Students with Large Language Models Towards the Connection between Activation Sparsity and Flat Minima Fine-Tuning and Serving Gemma 4 31B on Google Cloud TPU: A Technical Comparison with GPU Baselines AutoSG: LLM-Driven Solver Generation Solely from Task Prompts for Expensive Optimization Posture Clip: Sit properly or I wont let you work Meta-Engineering Harnesses for AI-Native Software Production: A Contract-Driven Adversarial Verification Architecture with Early Deployment Report Referential Security as a New Paradigm for AI Evaluations Simulating Human Memory with Language Models Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models Profiling-Driven Adaptive Distributed Transformer Inference on Embedded Edge Deployment How Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws Multi-Agent Coordination Adaptation via Structure-Guided Orchestration DeGRe: Dense-supervised Generative Reranking for Recommendation Benchmarking Pathology Foundation Models for Spatial Domain Understanding Concept Unlearning via Cross-Attention Activation Projection for Diffusion Models MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training Efficient Benchmarking Is Just Feature Selection and Multiple Regression NPSolver: Neural Poisson Solver with Iterative Physics Supervision On the Benefits of Free Exploration for Regret Minimization in Multi-Armed Bandits SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution Fine-Tuning Over Architectural Complexity: Broad-Coverage PII Detection on PIIBench with DeBERTa OASIS: Observation-Action Space Alignment via SE(3) Trajectory Prediction for Robotic Manipulation Clarify, Abstain or Answer? Strategising in Conversation with Belief-Augmented Generation When Search Becomes Memory: Turning Robot Design Trials into Transferable Skills Context-Instrumental Data Distillation for Kubernetes Manifest Generation: Method and Experimental Evaluation TTPrint: Evidence-Grounded TTP Extraction via Diverge-then-Converge Verification Geometric Evolution Maps: Extracting Stable Concept Probes from Transformer Residual Streams TIAR: Trajectory-Informed Advantage Reweighting for LLM Abstention Learning Explaining Too Much? Understanding How Large Language Model Reasoning Traces Influence Performance and Metacognition MuNet: A Mutualistic Network for Joint 3D Human Mesh Recovery and 3D Clothed Human Reconstruction from Single Images Causal Tongue-Tie: LLMs Can Encode Causal Direction, But Their Yes/No Outputs Fail to Express Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning Quantitative Evaluation of the Severity of Posttraumatic Stress Disorder through Transfer Learning from Specific Phobia Data From Latent Space to Training Data: Explainable Specialization in Minimal MLPs EchoPilot: Training-Free Ultrasound Video Segmentation via Scale-Space Semantic Prompting and Reliability-Gated Memory Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers VEN-VL: A Visual Ensemble MoE Framework for Effective and Efficient Multi-Modal Understanding Step-TP: A Grounded, Step-Level Dataset with Chain-of-Thought Reasoning for LLM-Guided Tensor Program Optimization QUIET: A Multi-Blank Cascaded Story Cloze Benchmark for LLM Creative Generation Capability Continual Speaker Identity Unlearning with Minimal Interference Creative Quality Alignment: Expert Tacit Knowledge Transfer via Chain-of-Thought Fine-Tuning SafeCtrl-RL: Inference-Time Adaptive Behaviour Control for LLM Dialogue via RL-Driven Prompt Optimisation AI-Assisted Systematization for Evaluating GenAI Systems Learning in Low-Dimensional Subspaces: Orthogonal Bottlenecks for Reinforcement Learning AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models Retrieval-Augmented Detection of Potentially Abusive Clauses in Chilean Terms of Service A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot Segmentation, Classification, and Deblurring Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution DRScaffold: Boosting Dense-Scene Reasoning in Lightweight Vision Language Models Confidence and Calibration of Activation Oracles for Reliable Interpretation of Language Model Internals When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges Neuronal Stochastic Attention Circuit (NSAC) for Probabilistic Representation Learning Conditional KRR: Injecting Unpenalized Features into Kernel Methods with Applications to Kernel Thresholding Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark StakeBench: Evaluating Language Understanding Grounded in Market Commitment Channel-wise Vector Quantization OrpQuant: Geometric Orthogonal Residual Projection for Multiplier-Free Power-of-Two Transformer Quantization Language Models Need Sleep Beyond Summaries: Structure-Aware Labeling of Code Changes with Large Language Models Squeezing Capacity from Multimodal Large Language Models for Subject-driven Generation WorldGUI: An Interactive Benchmark for Desktop GUI Automation from Any Starting Point PCGRLLM: Large Language Model-Driven Reward Design for Procedural Content Generation Reinforcement Learning Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering FloorplanQA: A Benchmark for Spatial Reasoning in LLMs using Structured Representations Hide-and-Shill: A Reinforcement Learning Framework for Market Manipulation Detection in Symphony-a Decentralized Multi-Agent System From Multi-Agent Systems and the Semantic Web to Agentic AI: A Unified Narrative of the Web of Agents Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning Probing the Preferences of a Language Model: Integrating Verbal and Behavioral Tests of AI Welfare Teaching large language models to reason like expert diagnosticians Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents Agent Learning via Early Experience False Fixed Points: Kantian Feedback, Stable Miscalibration, and Representational Compression in LLMs Voting with the Graph: Stable RLAIF via Topological Consistency Maximization From Prompt Optimization to Multi-Dimensional Credibility Evaluation: Enhancing Trustworthiness of Chinese LLM-Generated Liver MRI Reports -- with Preliminary Extension to Lung Cancer Rewarding Structural Conformance of Reasoning using Process Mining Chain-of-Thought Hijacking Optimizing Sensor Placement for Flow Reconstruction in Urban Drainage Networks: A Digital Twin-Based Sparse Sensing Approach Learning to Trust: Bayesian Adaptation to Varying Suggester Reliability in Sequential Decision Making IPR-1: Interactive Physical Reasoner Actionable and diverse counterfactual explanations incorporating domain knowledge and plausibility constraints AGI Requires a Coordination Layer on Top of Pattern Repositories Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems SPARK: Search Personalization via Agent-Driven Retrieval and Knowledge-sharing Architecting Agentic Communities using Design Patterns MMUEChange: A Generalized LLM Agent Framework for Intelligent Multi-Modal Urban Environment Change Analysis NSR-Boost: A Neuro-Symbolic Residual Boosting Framework for Industrial Legacy Models PathWise: Planning through World Model for Automated Heuristic Design via Self-Evolving LLMs DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting Why Your Deep Research Agent Fails? On Hallucination Evaluation in Full Research Trajectory MedBeads: An Agent-Native, Immutable Data Substrate for Trustworthy Medical AI Emergent Analogical Reasoning in Transformers AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent FLINGO -- Instilling ASP Expressiveness into Linear Integer Constraints Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization JEPA-DNA: Grounding Genomic Foundation Models through Joint-Embedding Predictive Architectures All Leaks Count, Some Count More: Interpretable Temporal Contamination Detection and Mitigation in LLM Backtesting Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System INDUCTION: Finite-Structure Concept Synthesis in First-Order Logic AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications PathMem: Toward Cognition-Aligned Memory Transformation for Pathology MLLMs Characterizing Linear Alignment Across Language Models Dynamic Dual-Granularity Skill Bank for Agentic RL OASES: Outcome-Aligned Search-Evaluation Co-Training for Agentic Search SEA-Eval: A Benchmark for Evaluating Self-Evolving Agents Beyond Episodic Assessment Learning Preference-Based Objectives from Clinical Narratives for Dynamic Sepsis Treatment UniToolCall: Unifying Tool-Use Representation, Data, and Evaluation for LLM Agents The A-R Behavioral Space: Execution-Level Profiling of Tool-Using Language Model Agents in Organizational Deployment ClawTrace: Cost-Aware Tracing for LLM Agent Skill Distillation Generative structure search for efficient and diverse discovery of molecular and crystal structures Reliable AI Needs to Externalize Implicit Knowledge: A Human-AI Collaboration Perspective FinSTaR: Towards Financial Reasoning with Time Series Reasoning Models MEMTIER: Tiered Memory Architecture and Retrieval Bottleneck Analysis for Long-Running Autonomous AI Agents ScrapMem: A Bio-inspired Framework for On-device Personalized Agent Memory via Optical Forgetting Strat-Reasoner: Reinforcing Strategic Reasoning of LLMs in Multi-Agent Games Shepherd: A Runtime Substrate Empowering Meta-Agents with a Formalized Execution Trace The Many Faces of On-Policy Distillation: Pitfalls, Mechanisms, and Fixes CVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing Differentiable Learning of Lifted Action Schemas for Classical Planning CogniFold: Always-On Proactive Memory via Cognitive Folding A Two-Dimensional Framework for AI Agent Design Patterns: Cognitive Function and Execution Topology SaaS-Bench: Can Computer-Use Agents Leverage Real-World SaaS to Solve Professional Workflows? How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study Is VLA Reasoning Faithful? Probing Safety of Chain-of-Causation in Autonomous Driving Models Self-supervised Hierarchical Visual Reasoning with World Model Visualizing the Invisible: Generative Visual Grounding Empowers Universal EEG Understanding in MLLMs When Skills Don't Help: A Negative Result on Procedural Knowledge for Tool-Grounded Agents in Offensive Cybersecurity AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration ECUAS$_n$: A family of metrics for principled evaluation of uncertainty-augmented systems Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs SMDD-Bench: Can LLMs Solve Real-World Small Molecule Drug Design Tasks? Knowledge Graph Re-engineering Along the Ontological Continuum (extended version) Meta-Soft: Leveraging Composable Meta-Tokens for Context-Preserving KV Cache Compression AMEL: Accumulated Message Effects on LLM Judgments MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems SkillOpt: Executive Strategy for Self-Evolving Agent Skills Unbalanced Incomplete Multi-view Clustering via the Scheme of View Evolution: Weak Views are Meat; Strong Views do Eat Double Self-weighted Multi-view Clustering via Adaptive View Fusion Multi-Modal Cross-Domain Alignment Network for Video Moment Retrieval You Can Ground Earlier than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms MirrorCheck: Efficient Adversarial Defense for Vision-Language Models The Impact of Large Language Models on Open-source Innovation: Evidence from GitHub Copilot Uncovering Autoregressive LLM Knowledge of Thematic Fit in Event Representation The Meme Is the Message: Generative Memesis and AI Visuals in the 2024 USA Presidential Elections Fusion Embedding for Pose-Guided Person Image Synthesis with Diffusion Model FragmentNet: Adaptive Graph Fragmentation for Graph-to-Sequence Molecular Representation Learning Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations Kolmogorov-Arnold Fourier Networks ExplainReduce: Generating global explanations from many local explanations Pragmatic Reasoning improves LLM Code Generation How does Bayesian Sampling help Membership Inference Attacks? Subspace Aggregation Query and Index Generation for Multidimensional Resource Space Model Generalizable Vision-Language Few-Shot Adaptation with Predictive Prompts and Negative Learning PhySense: Sensor Placement Optimization for Accurate Physics Sensing Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email Detection Music Interpretation and Emotion Perception: A Computational and Neurophysiological Investigation PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models FLoRIST: Singular Value Thresholding for Efficient and Accurate Federated Fine-Tuning of Large Language Models Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMs From Reasoning to Code: GRPO Optimization for Underrepresented Languages CLiViS: Unleashing Cognitive Map through Linguistic-Visual Synergy for Embodied Visual Reasoning SoK: A Comprehensive Security Analysis of Jailbreak Resilience in GPT and DeepSeek Models Plan for Speed: Dilated Scheduling for Masked Diffusion Language Models Psychometric Item Validation Using Virtual Respondents with Trait-Response Mediators ToolRegistry: A Protocol-Agnostic Tool Management Library for Function-Calling LLMs QUTCC: Quantile Uncertainty Training and Conformal Calibration for Imaging Inverse Problems Page image classification for content-specific data processing HiTeC: Hierarchical Contrastive Learning on Text-Attributed Hypergraph with Semantic-Aware Augmentation Explainable Attention-Guided Stacked Graph Neural Networks for Malware Detection Designing Singing Syllabi with Virtual Avatars: AI-Assisted Syllabus Reauthoring EXOTIC: An Exact, Optimistic, Tree-Based Algorithm for Min-Max Optimization MCPXKIT: The Unified Toolkit for Analyzing Model Context Protocol Security LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis SpecPrune-VLA: Accelerating Vision-Language-Action Models via Action-Aware Self-Speculative Pruning Dynamic Relational Priming Improves Transformer in Multivariate Time Series Equip Pre-ranking with Target Attention by Residual Quantization What Happens Next? Anticipating Future Motion by Generating Point Trajectories HEAPr: Hessian-based Efficient Atomic Expert Pruning in Output Space Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes INSIGHT: INference-time Sequence Introspection for Generating Help Triggers in Vision-Language-Action Models Go witheFlow: Real-time Emotion Driven Audio Effects Modulation KAME: Tandem Architecture for Enhancing Knowledge in Real-Time Speech-to-Speech Conversational AI ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference vAttention: Verified Sparse Attention Membership Inference Attacks on Tokenizers of Large Language Models Local MAP Sampling for Diffusion Models DeepEN: A Deep Reinforcement Learning Framework for Personalized Enteral Nutrition in Critical Care Auditing medical multi-agent AI reveals risks of false consensus FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model AI-generated podcasts: Synthetic Intimacy and Cultural Mistranslation in NotebookLM's Audio Overviews BackWeak: Backdooring Knowledge Distillation Simply with Weak Triggers and Fine-tuning Bridging the Semantic-Action Gap in Visual Token Pruning for Efficient VLA Inference Understanding, Accelerating, and Improving MeanFlow Training Asking LLMs to Verify First is Almost Free Lunch E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving Smart Timing for Mining: A Deep Learning Framework for Bitcoin Hardware ROI Prediction Intrinsically Interpretable Attention via Sparse Post-Training AI as Equalizer or Amplifier? Task Complexity as the Moderating Factor for Human Expertise in Hybrid Intelligence Systems DynaPURLS: Dynamic Refinement of Part-Aware Representations for Skeleton-Based Zero-Shot Action Recognition Coupled Variational Reinforcement Learning for Language Model General Reasoning Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches Selection-Induced Contraction of Innovation Statistics in Gated Kalman Filters $M^3-Verse$: A "Spot the Difference" Challenge for Large Multimodal Models DIVER-1: Scaling Intracranial EEG Foundation Models for Transferable Representations Multimodal Functional Maximum Correlation for Emotion Recognition A Comprehensive Dataset for Human vs. AI Generated Image Detection Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts FlowPlan-G2P: A Structured Generation Framework for Transforming Scientific Papers into Patent Descriptions SentGraph: Hierarchical Sentence Graph for Multi-hop Retrieval-Augmented Question Answering AnatomiX, an Anatomy-Aware Grounded Multimodal Large Language Model for Chest X-Ray Interpretation Extreme-value forest fire prediction A study of the Loss Function in an Ordinality Scheme NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement Learning PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes RiskBridge: Turning CVEs into Business-Aligned Patch Priorities SafeGPT: Preventing Data Leakage and Unethical Outputs in Enterprise LLM Use QASA: Quality-Aware Semantic Augmentation for Robust Multimodal Sentiment Analysis Future-KL Regularized GRPO: Process-Level Credit Assignment from $f$-Divergence Regularization Pixelwise Uncertainty Quantification of Accelerated MRI Reconstruction Delayed Assignments in Online Non-Centroid Clustering with Stochastic Arrivals Safety Generalization Under Distribution Shift in Safe Reinforcement Learning: A Diabetes Testbed Unifying Speech Editing Detection and Content Localization via Prior-Enhanced Audio LLMs Dynamics Reveals Structure: Challenging the Linear Propagation Assumption Gated Relational Alignment via Confidence-based Distillation for Efficient VLMs BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment Generative Visual Code Mobile World Models MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents Reward-free Alignment for Conflicting Objectives SPA-Cache: Singular Proxies for Adaptive Caching in Diffusion Language Models Fine-Tuning Language Models to Know What They Know Agent Primitives: Reusable Latent Building Blocks for Multi-Agent Systems Scalable Explainability-as-a-Service (XaaS) for Edge AI Systems Counterfactual Explanations for Hypergraph Neural Networks F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare SoK: DARPA's AI Cyber Challenge (AIxCC): Competition Design, Architectures, and Lessons Learned Prism: Spectral-Aware Block-Sparse Attention Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards Krause Synchronization Transformers Two-Sided Time-Independent Regret for Matching Markets with Limited Interviews Adversarial Network Imagination: Causal LLMs and Digital Twins for Proactive Telecom Mitigation STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens CARL-CXR: Continual Adapter-Based Routing for Task-Unknown Chest Radiograph Classification MARS: Margin and Semantic-Aware Data Augmentation for Reward Modeling JAEGER: Joint 3D Audio-Visual Grounding and Reasoning in Simulated Physical Environments Red-Teaming Claude Opus and ChatGPT-based Security Advisors for Trusted Execution Environments MoBiQuant: Mixture-of-Bits Quantization for Token-Adaptive Any-Precision LLM Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling Learning from Trials and Errors: Reflective Test-Time Planning for Embodied LLMs Topology-Driven Transferability Estimation of Medical Foundation Models for Segmentation MultiPUFFIN: A Multimodal Domain-Constrained Foundation Model for Molecular Property Prediction of Small Molecules Non-Invasive Reconstruction of Intracranial EEG Across the Deep Temporal Lobe from Scalp EEG based on Conditional Normalizing Flow Grouter: Decoupling Routing from Representation for Accelerated MoE Training RCTs & Human Uplift Studies: Methodological Challenges and Practical Solutions for Frontier AI Evaluation UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Tasks Is Human Annotation Necessary? Iterative MBR Distillation for Error Span Detection in Machine Translation Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization Do Understanding and Generation Fight? A Diagnostic Study of DPO for Unified Multimodal Models PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching Discounted Beta-Bernoulli Reward Estimation for Sample-Efficient Reinforcement Learning with Verifiable Rewards Procedural Refinement by LLM-driven Algorithmic Debugging for ARC-AGI-2 Profiling learners' affective engagement: Emotion AI, intercultural pragmatics, and language learning Beyond Static Uncertainty: Modeling Temporal Uncertainty Dynamics for Probabilistic Time Series Forecasting UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidates AEROS: A Single-Agent Operating Architecture with Embodied Capability Modules EditCaption: Human-Refined SFT and HAE-DPO for Image Editing Instruction Synthesis Temporal Dropout Risk in Learning Analytics: A Harmonized Survival Benchmark Across Dynamic and Early-Window Representations M$^\star$: Every Task Deserves Its Own Memory Harness Cooperative Memory Paging with Keyword Bookmarks for Long-Horizon LLM Conversations Design Conditions for Intra-Group Learning of Sequence-Level Rewards: Token Gradient Cancellation Federation over Text: Insight Sharing for Multi-Agent Reasoning Rethinking the Comparison Unit in Sequence-Level Reinforcement Learning: An Equal-Length Paired Training Framework from Loss Correction to Sample Construction Depth Registers Unlock W4A4 on SwiGLU: A Reader/Generator Decomposition Copy-as-Decode: Grammar-Constrained Parallel Prefill for LLM Editing Committed SAE-Feature Traces for Audited-Session Substitution Detection in Hosted LLMs MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support Human-1 by Josh Talks: A Full-Duplex Conversational Modeling Framework in Hindi using Real-World Conversations Talking Slide Avatars: Open-Source Multimodal Communication Approach for Teaching ESIA: An Energy-Based Spatiotemporal Interaction-Aware Framework for Pedestrian Intention Prediction Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation VILAS: A VLA-Integrated Low-cost Architecture with Soft Grasping for Robotic Manipulation Soft-to-Hard Routing in Sparse Mixture-of-Experts Models Efficient Preference Poisoning Attack on Offline RLHF Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses From Muscle Bursts to Motor Intent: Self-Supervised Token Modeling for Heterogeneous EMG Auditing Stealth Sycophancy in Mental-Health Dialogue: Structured Clinical-State Diagnostics and Clean Matched Benchmarks BFORE: Butterfly-Firefly Optimized Retinex Enhancement for Low-Light Image Quality Improvement LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment Sparse Tokens Suffice: Jailbreaking Audio Language Models via Token-Aware Gradient Optimization Aes3D: Aesthetic Assessment in 3D Gaussian Splatting Internalizing Outcome Supervision into Process Supervision: A New Paradigm for Reinforcement Learning for Reasoning E = T*H/(O+B): A Dimensionless Control Parameter for Mixture-of-Experts Ecology PACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization Quality-Conditioned Agreement in Automated Short Answer Scoring: Mid-Range Degradation and the Impact of Task-Specific Adaptation Intelligent Truck Matching in Full Truckload Shipments using Ping2Hex approach Flow-OPD: On-Policy Distillation for Flow Matching Models FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models Memorize Theorems, Not Instances: Probing SFT Generalization through Mathematical Reasoning Real vs. Semi-Simulated: Rethinking Evaluation for Treatment Effect Estimation An Uncertainty-Aware Resilience Micro-Agent for Causal Observability in the Computing Continuum Break the Brake, Not the Wheel: Untargeted Jailbreak via Entropy Maximization PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks SURGE: Surrogate Gradient Adaptation in Binary Neural Networks HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series Fill the GAP: A Granular Alignment Paradigm for Visual Reasoning in Multimodal Large Language Models Persona-Model Collapse in Emergent Misalignment Data Difficulty and the Generalization--Extrapolation Tradeoff in LLM Fine-Tuning Turning Stale Gradients into Stable Gradients: Coherent Coordinate Descent with Implicit Landscape Smoothing for Lightweight Zeroth-Order Optimization One Step to the Side: Why Defenses Against Malicious Finetuning Fail Under Adaptive Adversaries SurgicalMamba: Dual-Path SSD with State Regramming for Online Surgical Phase Recognition Learning Selective Merge Policies for Deadline-Constrained Coded Caching via Deep Reinforcement Learning Reducing Credit Assignment Variance via Counterfactual Reasoning Paths How Few-Shot Examples Add Up: A Causal Decomposition of Function Vectors in In-Context Learning Position: State-of-the-Art Claims Require State-of-the-Art Evidence L-Drive: Beyond a Single Mapping-Latent Context Drives Time Series Forecasting BacktestBench: Benchmarking Large Language Models for Automated Quantitative Strategy Backtesting LivePI: More Realistic Benchmarking of Agents Against Indirect Prompt Injection A Simplex Witness Certificate for Constant Collapse in Variational Autoencoders KairosHope: A Next-Generation Time-Series Foundation Model for Specialized Classification via Dual-Memory Architecture ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop Simply Stabilizing the Loop via Fully Looped Transformer Lying Is Just a Phase: The Hidden Alignment Transition in Language Model Scaling The Growing Pains of Frontier Models: When Leaderboards Stop Separating and What to Measure Next CounterFlow: A Two-Phase Inference-Time Sampling for Counterfactual Video Foley Generation HypergraphFormer: Learning Hypergraphs from LLMs for Editable Floor Plan Generation Unlocking the Potential of Continual Model Merging: An ODE Perspective FineBench: Benchmarking and Enhancing Vision-Language Models for Fine-grained Human Activity Understanding ProcCtrlBench: Evaluating Process-Level Defects and Control Preservation in LLM Coding Agents ClaimDiff-RL: Fine-Grained Caption Reinforcement Learning through Visual Claim Comparison The Devil is in the Condition Numbers: Why is GLU Better than non-GLU Structure? Ordering Matters: Rank-Aware Selective Fusion for Blended Emotion Recognition Look-Closer-Then-Diagnose: Confidence-Aware Ultrasound VQA via Active Zooming Action with Visual Primitives TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting Contractual Skills: A GovernSpec Design Framework for Enterprise AI Agents AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild Understanding Data Temporality Impact on Large Language Models Pre-training Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models The Matching Principle: A Geometric Theory of Loss Functions for Nuisance-Robust Representation Learning KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis SSDAU: Structured Semantic Data Augmentation for Joint Entity and Relation Extraction Automated Random Embedding for Practical Bayesian Optimization with Unknown Effective Dimension CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit TestGithub Trending (Python)
anthropics/knowledge-work-plugins rohitg00/ai-engineering-from-scratch mukul975/Anthropic-Cybersecurity-Skills Fincept-Corporation/FinceptTerminal paperless-ngx/paperless-ngx shiyu-coder/Kronos microsoft/agent-governance-toolkit st-tech/ppf-contact-solver sansan0/TrendRadar 666ghj/MiroFish Datalux/Osintgram OpenBB-finance/OpenBB freqtrade/freqtrade-strategies donnemartin/system-design-primer yt-dlp/yt-dlpGithub Trending (C)
microsoft/mimalloc brunodev85/winlator vysheng/tg DeusData/codebase-memory-mcp openwrt/openwrt immortalwrt/immortalwrt curl/curl qmk/qmk_firmware nothings/stb mit-pdos/xv6-riscv pbatard/rufus flipperdevices/flipperzero-firmware Genymobile/scrcpy moonlight-stream/moonlight-android FRRouting/frr zmkfirmware/zmk EchoStretch/kstuff-lite capstone-engine/capstone nanopb/nanopbNature
Bottom-Up Synthesis of Molecular Nanodiamond from Nanographene Author Correction: In vitro characterization of the human segmentation clock Poland’s economy is thriving, but its science is dying Conservation gains should not be at the mercy of political changes A cautious voice on the closure of China’s journal ranking list Should there be a national museum of chemicals? Iran’s Internet blackout: a scholar’s month in the dark Too dangerous to release: is Mythos the start of the restricted-AI era? Hard-to-detect mutations explain how common autoimmune diseases arise Robots run this laboratory in Japan — and are changing how scientists work Innovation starts in schools — lessons from China Why AI can’t be trusted to write scientific reviews When the grid can’t keep up: how South African laboratories handle power outages How I eavesdrop on frog conversations How to breathe life back into brain theory Vanishing tongues and life on Mars: Books in brief Major Ebola outbreak is escalating: what happens next Neuroflix AI cracks 80-year-old mathematics challenge — researchers are astonished Hit a lab project glitch? Thinking about your thesis title like a storyteller can help you focus Stress impairs your brain’s ability to link memories — dampening insight De novo design of miniproteins targeting GPCRs Did a boy’s life-saving gene therapy cause his brain tumour? A star gone rogue tears through the Galaxy Ebola outbreak spirals out of control: how might it have started? Should I get a dog? What to know about pet ownership as a scientist See the clouds streaming and vanishing around this planet — 690 light years away Ebola outbreak: the data that show why researchers are so alarmed How we’re using AI tools to improve psychedelic-drug research Daily briefing: Wearable robot could help kids with neuromuscular disease stand Spinal neuromotor rehabilitation using a portable isokinetic training robot Author Correction: Inactivating SnRK1β1A promotes broad-spectrum disease resistance in rice Nearly half of the world’s Nature Index chemistry research is now done in China Red light therapy: the science behind the hype AI ‘scientists’ promise to accelerate research — how do they work? What China’s rise in chemistry means for the rest of the world Cusp-singularity-enhanced Coriolis effect for sensitive chip-scale gyroscopes A pathogen lncRNA secreted into rice sequesters a host miRNA for virulence De novo design of quasisymmetric two-component protein cages Genetic analysis of circulating metabolic traits in 619,372 individuals Nonlinear atomic tunnelling boosted by bright squeezed vacuum Dopamine drives persistent remodelling of the maternal brain Feature-specific threat coding in lateral septum guides defensive action A critical initialization for biological neural networks Neural representation of action symbols in primate frontal cortex A deep-learning framework reveals whole-body perturbations at cell level Advancing solar and wind penetration in China through energy complementarity Imaging hidden objects with consumer LiDAR via motion-induced sampling Design of one-component quasisymmetric protein nanocages Divergent urban storm response to convective, frontal and tropical systems Early fossil eukaryotes were benthic aerobes A SAUR gene enhances maize drought resilience by promoting silk elongation Mitochondrial l-2-hydroxyglutarate is a physiological signalling metabolite Forest carbon protocols underestimate climate-driven carbon loss risks Astrocyte glucocorticoid receptor signalling restricts neuronal plasticity High-fidelity identification of guest species in porous materials Monkeys that ‘draw’ reveal a neuronal population that encodes combinable actions Becoming a mother leaves long-lasting molecular memories Why are PFASs so hard to replace? Tough peer-review process? Your paper might end up being more highly cited Daily briefing: Bogus citations will get you banned from arXiv The brain’s code seems to be in constant flux. Neuroscientists are baffled The CAPTCHA protocol Cities affect small and large storms differently Wearable robot boosts strength of children with spinal muscular atrophy A guide to the Nature Index Too little or too much sleep is linked to faster ageing throughout the body Three scientists pushing chemistry in new directions NoTrue, Silence and Rubbish Communications: satirical journals give Chinese academics a pressure valve A conference taught me that scientists and journalists must work together to protect research Quantum light source boosts attosecond science A multi-agent system for automating scientific discovery An AI system to help scientists write expert-level empirical software Accelerating scientific discovery with Co-Scientist AI might jeopardize the uncertainty required in scienceCNN
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
Researchers are building AI-powered robot labs. What does this mean for science? 39 World Cup teams will be based in the U.S. Here's which squad will be closest to you To stop leaks, the Trump administration wants federal workers to sign NDAs Gulf shrimpers want help from Congress as fuel costs climb Trump-backed redistricting plan is rejected in the South Carolina Legislature Trump DOJ mass-deletes info on Jan. 6 riot cases, including violent assaults on cops A mix of veterans and newcomers will represent the United States at the World Cup Why the French Open is named after Roland Garros, who didn't play tennis An exceptionally early heat wave shatters records and brings deaths in Europe How the Trump administration uses the Bible to justify military invasions and immigration raidsThe Atlantic
Does Donald Trump Know Men Are Also Allowed to Leave His Cabinet? Why Trump Keeps Getting Rolled in Negotiations The Advice I Hope You’ll Never Need Americans Have Entered the Age of the Needle The Phrase I Texted My Kids 133 Times Trump’s Missing Ambassadors Are a Sign of a Deeper Problem The Great Depopulation A Sweeping Theory of Everything Is Revolutionizing the Democratic Party The Olympics These Were Not Pope Leo’s Unsettling Vision of the AI Future The Burden They Carry The Magician of the Kremlin The National Debt’s Unforgiving Math Trump’s War Is Staggering to an Incoherent Defeat Why Trump Lost How to Break Cuba The Man Behind the Trump Administration’s Favorite Psychedelic The Kardashians Explain It All The ‘Vibecession’ Is Over. The ‘Permacession’ Is Here. A Perfect Show That Doesn’t Make Sense I Am Begging You to Read Terry Pratchett AI-Writing Scandals Are Getting Very Confusing Hegseth’s Leadership of the U.S. Military Putin Can No Longer Hide His Catastrophe The Meanest Tradition in EntertainmentVox
Trump’s new plan to quash leaks A new Supreme Court opinion is terrible news for federal workers Trump still thinks he’s winning in Iran Somehow, the Antichrist returned When AI makes you worse at your job The global epidemic of death by cars Should you feel guilty for killing the bugs in your house? I asked a billionaire about his environmental philanthropy. It didn’t go well. The pope takes on AI The most underrated sites at our national parks — according to a guy who’s seen them allAl Jazeera
UN chief ‘deeply concerned’ by Moscow plan for Kyiv strikes Iran war live: Israel kills 31 in Lebanon; Tehran blasts US truce violation Is the viral ‘Cockroach Janta Party’ a threat to Modi’s government? Chemical tank rupture kills multiple people in US state of Washington Aftermath of deadly Israeli strikes in southern Lebanon Four people killed after minibus collides with train in Belgium Climber carries kite with Palestinian children’s dreams to Everest summit US picks potential partners for using Cold War-era plutonium as fuel Trump-led push to redraw Congress maps faces setbacks in Southern states US Senate confirms veteran naval officer Frank Garcia as top Africa envoy Did Trump oversell a broken Iran ceasefire deal? Children perform ‘mini Hajj’ in Gaza as Israel blocks pilgrims White House proposes NDAs for all US federal workers Russia slams US for not granting visa to diplomat for UN meeting Former Arsenal midfielder Partey named in Ghana squad ahead of World Cup Armenia signs strategic partnership deal with US as election approaches India’s World Cup broadcast hopes boosted by Zee Entertainment talks Lebanon latest: Netanyahu vows escalation against Hezbollah What has Pope Leo warned about AI – and why that’s significant France’s Kouame becomes youngest male Grand Slam match-winner in 17 years Albert Manifold ousted as BP chair over governance and conduct concerns Iranian fishermen struggle to survive amid Hormuz blockade Scotland fans book 20 school buses for games at ‘inaccessible’ US World Cup European countries and EU summon Russian envoys over threats on Kyiv Tehran labels US attacks ‘gross violation’, says it is prepared to respondArs Technica
Is Peter Thiel the target of Pope Leo's Gandalf quote? An investigation. Musk says US military suicide drones used Starlink in violation of SpaceX rules NASA takes steps toward building Moon Base, including discussing a "perimeter" We're starting to see some PC makers respond to Apple's MacBook Neo Millions of AI agents imperiled by critical vulnerability in open source package Want an oxygen-rich atmosphere? Stuff oxygen’s friends in the mantle. FBI agent explains how easy it is to ID people posting AI porn without consent 3D-printable humanoid legs let robotics experiments run wild Windows' classic 3D Space Cadet pinball is getting a physical re-creation Review: The Boroughs is a smart, pitch-perfect creature feature A global brand but local cars is Audi's future, says CEO Analyst on China's spent rocket stages: "Things only continue to get worse" Amazing interior, controversial exterior: Ferrari's first electric car Driving Porsche's most powerful car—and no, it's not a 911 Citing Gandalf, Pope Leo says we must "disarm" AI US's big bet on quantum computing may not be entirely legal I spent years forcing myself to finish The Witcher 3—don't repeat my mistake Whatever the mirror test tells us, beluga whales pass it SpaceX's Starship V3—still a work in progress—mostly successful on first flight Two space shuttle-era spacewalkers enter Astronaut Hall of FameSlashdot
Windows' Classic 3D Space Cadet Pinball Is Getting a Physical Re-Creation Internet Starts Coming Back In Iran After Months-Long Blackout Mythos Detected 23,000 Vulnerabilities Across 1,000 OSS Projects Spain Blocks Polymarket and Kalshi Uber, Lyft Drivers In Massachusetts Form First US Ride-Share Union Netherlands Blocks US Takeover of Vital Digital Supplier Nvidia Retires Its GeForce Control Panel App After 20 Years California Moves To Exempt Linux From Upcoming Age-Verification Law Pope Leo Warns of Risks From AI In 42,300-Word Encyclical SpaceX Launches 29 Starlink Satellites on Memorial Day Will Big Tech Layoffs Bring a Culture Shift to Anxiety and Job Insecurity? It's Like the Olympics - But Steroids Are Allowed California Executive Order Directs Businesses and State Agencies to Prepare for AI-Driven Workforce Disruption AI 'Crashes the Party' at This Year's Cannes Film Festival - Including Multi-Year Meta Partnership FreeBSD Foundation Executive Director Tries Daily Driving FreeBSD On LaptopSmithsonian Magazine
A Shipwreck, but Make It Fashion: Researchers Transformed Wooden Fragments From a 17th-Century Shipwreck Into a Pair of Stylish Maxi Dresses Scientists Detect an Elusive Giant Squid and Many Other Surprising Marine Animals Near Western Australia Thanks to DNA in the Water A 4,500-Year-Old Neolithic Hall Replica Rises at Stonehenge as Archaeologists and Volunteers Build With Prehistoric Tools and Techniques A Sudden Landslide Triggered Alaska's 2025 'Mega-Tsunami.' Now, Scientists Have Identified Warning Signs to Predict Similar Events Whistler Didn't Mean to Make His Mourning Mother an Art World Star. Today, She's a Highlight at a Major Exhibition in London The Mere Presence of Humans—Not Just Our Changes to the Land—Can Alter Wild Animals' Behaviors, a New Study Suggests Brazil Lost 80 Percent of Its National Museum Collection in One Night. Here's How It's Fighting to Rebuild An Underwater Robot Explores the Hidden 'Shipwreck City' Beneath the Surface of This Popular Urban Lake in the Pacific Northwest Paleontologists Discover an Ancient Marine Reptile They've Dubbed the T. Rex of the Sea, Crowning Another King of the Cretaceous To Mark America's 250th Birthday, See the Country's 'Most Endangered Historic Places' You've Probably Never Heard OfInfoQ
Platform Engineering Labs Expands formae with Kubernetes Support, Native Helm Integration InfoQ Online Certification Program: New AI Engineering and Organizational Architecture Cohorts Presentation: Realtime and Batch Processing of GPU Workloads Article: Architecting Cloud-Native Kafka: From Tiered Storage Towards a Diskless Future Google Expands SynthID Adoption for AI Watermarking, Previews Content Detection API TamboUI Promises to Bring Better Capabilities to Build TUIs in Java Java News Roundup: WildFly, Micronaut, Spring AI, Apache Fory, GlassFish Plugin, Open Liberty Microsoft Introduces MDASH for Large-Scale AI Vulnerability Research Article: The Schema Proliferation Problem in Kafka and Flink Pipelines: How to Solve It Presentation: From Legacy to Sovereignty: Driving the Future of Insurance through Platform Engineering Podcast: Chasing Efficient Java Development: From 1BRC to Developing Hardwood AI Natively Gemma 4 Multi-Token Prediction Delivers up to ~3x Faster Token Generation NodeJS Proposes Built-In Virtual File System, Sparking Debate over AI-Generated Contributions OpenJDK News Roundup: Vector API, Compact Object Headers and G1GC as Default in JDK 27 Google Introduces Middleware Architecture for Genkit ApplicationsDynomight
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
*How to Win a Trade War: An Optimistic Guide to an Anxious Global Economy* Quarantine sentences to ponder, that was then this is now edition… Tuesday assorted links A Beautiful Theory Falls to Ugly Data The corporate tax rate really matters What I’ve been reading *Silent Friend* New Aesthetics awards Monday assorted links Campo Grande bleg, Brazil The carousel trade (arbitrage) Emergent Ventures winners, 54th cohort Sunday assorted links Liberal Economists Score an Own Goal Against Bezos *Equality of Permission*Not Boring
Weekly Dose of Optimism #194 Cowboy Space Corporation Weekly Dose of Optimism #193 Riding the Leopard Weekly Dose of Optimism #192 Weekly Dose of Optimism #191 Scarce Assets Weekly Dose of Optimism #190 The Great Blue Frontier Weekly Dose of Optimism #189 Weekly Dose of Optimism #188 Weekly Dose of Optimism #187 Bad Analogies Weekly Dose of Optimism #186 Electromagnetism Secretly Runs the World Weekly Dose of Optimism #185 World Models: Computing the Uncomputable Weekly Dose of Optimism #184 Weekly Dose of Optimism #183 Costless SacrificeCoding Horror
Thank You For Being a Friend Launching The Rural Guaranteed Minimum Income Initiative The Road Not Taken is Guaranteed Minimum Income Let's Talk About The American Dream Stay Gold, America The Great Filter Comes For Us All I Fight For The Users The 2030 Self-Driving Car Bet Updating The Single Most Influential Book of the BASIC Era Building a PC, Part IX: Downsizing The Rise of the Electric Scooter Electric Geek Transportation Systems An Exercise Program for the Fat Web The Cloud Is Just Someone Else’s Computer What does Stack Overflow want to be when it grows up?NASA Breaking News
NASA to Announce Artemis III Crew, Provide Mission Progress Update NASA Astronauts to Answer Questions from Students in New York NASA Provides Update on Moon Base Rovers, Landers, Missions Chennai City Lights New Instrument Used Antarctic Ice Sheet to Probe Extreme Universe A Full Moon Checkup Jaclyn Kagey Shapes Humanity’s Return to the Moon An Early “Decoration Day” Celebration Call for Creatives: NASA Seeks Help Illuminating Mission Storytelling NASA Sets Coverage for Roscosmos Spacewalk Outside Space StationQuanta Magazine
When Quiet Undersea Volcanoes Turn Disruptive How Ecotypes Harbor the Genetic Memory of a Species’ Past Two Researchers Are Rebuilding Mathematics From the Ground Up How Alexander Grothendieck Revolutionized 20th-Century Mathematics What Do Gödel’s Incompleteness Theorems Truly Mean?Science Daily
Scientists say they’ve reversed brain aging with a simple nasal spray Large Hadron Collider detects strange particle behavior that could rewrite physics Queenless wasp colonies explode into chaos but hidden helpers save them Venomous Himalayan pit viper was actually 5 different species all along Deadly fungus and lung parasites are hammering wild rattlesnakes NASA’s Psyche spacecraft uses Mars as a giant slingshot toward a mysterious metal world USC scientists discover a hidden Alzheimer’s trigger and a possible way to shut it down Massive supercomputer simulations unlock cosmic magnetic mystery AI-powered spectrometer chip shrinks lab technology to the size of a grain of sand This prehistoric fish may explain how animals first walked on Earth 100-million-year-old bug had crab-like claws unlike any known insect Scientists discover a giant “planet factory” beyond Jupiter Scientists discover why Ozempic and Wegovy weight loss eventually plateaus Scientists create global treasure map pointing to hidden rare earth deposits AI won’t replace you but someone using AI might Adorable tiny blue octopus found nearly 6,000 feet beneath the Galápagos Beet juice lowers blood pressure in older adults in just 2 weeks Common heart drug taken by millions found useless — and possibly dangerous Surprising research reveals why you shouldn't add bananas to your smoothies Scientists discover hidden driver of aging — Simple supplement reversed brain decline Scientists “recharge” damaged nerves to ease chronic pain Scientists discover hidden liver switch that cuts harmful cholesterol Scientists say house cats could help unlock new cancer treatments for humans Scientists discover the oldest wooden tools ever used by humans AI scans 400,000 Reddit posts and finds hidden Ozempic side effects Scientists may have found the source of the most powerful neutrino ever detected Scientists supercharge natural killer cells to fight aggressive cancers Scientists discover why some DNA-doubled cells refuse to die Eating more beans and soy could slash high blood pressure risk by nearly 30% Scientists discover atoms suddenly spinning backward in quantum experiment Scientists warn popular vitamin D supplement may have a “previously unknown” downside Scientists discover simple way to relieve arthritis pain without pills or surgery Scientists warn that current vitamin B12 guidelines may be putting your brain at risk Scientists uncover cancer-causing chemicals hidden in everyday foods New AI body map reveals obesity’s hidden attack on facial nerves Scientists discover the perfect temperature to keep mangoes fresh much longer Wegovy linked to rare “eye stroke” that can cause sudden blindness Scientists just found a faster, cleaner way to extract lithium for EV batteries Einstein’s “wormhole” may actually reveal a hidden mirror of time Ordinary WiFi can now identify people with near perfect accuracy NASA’s Psyche spacecraft captures stunning Mars images during high-speed flyby NASA stunned as strange solar radio burst lasts 19 days Sea level rise is speeding up and scientists now know exactly why Scientists discover giant sea predator Tylosaurus rex that terrorized ancient oceans Scientists discover a two-stage aging process that may cause cancer and arthritis Surprising study finds beef doesn’t worsen blood sugar or diabetes risk Think you’re bad at languages? Experts say these 5 myths are to blame Popular weight loss drugs like Wegovy may also target arthritis inflammation Ancient chemistry trick unlocks new type of glass that traps CO2 and hydrogen “Zombie cells” aren’t always bad and that could transform anti-aging medicine Scientists discover towering red auroras reaching deep into space above Japan Ancient asteroid craters may have sparked Earth’s oxygen-producing life James Webb discovers a rare giant planet with surprisingly Earth-like temperatures Scientists discover a strange hidden state in “sandwich” molecules MIT scientists discover amino acid that helps the gut heal itself Scientists discover the nutrient that can supercharge cellular energy Common pesticide linked to hidden brain damage, scientists warn Childhood junk food may rewire the brain for life Scientists discover strange “narwhal” waves that trap light beyond known limits Physicists finally solve the strange mystery of “breathing” lasersSpaceflight Now
Preview: NASA updates progress towards established a Moon Base, Artemis 3 mission SpaceX launches 24 Starlink satellites on Falcon 9 rocket from Vandenberg SFB SpaceX launches 29 Starlink satellites on Memorial Day Musk praises “epic” Super Heavy-Starship launch Launch preview: SpaceX tries again for first launch of its Starship Version 3 rocket SpaceX’s sunrise Starlink launch adds 29 satellites to low Earth orbit megaconstellation SpaceX launches 24 Starlink satellites on Falcon 9 rocket launch from Vandenberg SFB NASA, SpaceX launch Dragon mission with 6,500 pounds of science and supplies to the space station ULA confirms successful solid rocket booster test as Vulcan anomaly investigation continues SpaceX targets May 19 for debut of Starship Version 3, Launch Pad 2Space Daily
Finland has spent decades building a tunnel 430 metres into 1.9-billion-year-old bedrock to store nuclear waste for 100,000 years — and the current plan is to seal it, leave no marker, and hope no future civilisation ever finds it When the Galileo spacecraft’s main antenna failed to unfurl on the way to Jupiter, engineers salvaged the mission by rewriting its software across deep space, compressing its data and squeezing a flagship science return through a low-gain antenna never meant to carry it. The geochemist who first measured the true age of the Earth kept finding lead everywhere it shouldn’t be in his samples, and the trail led him to a discovery that put him at war with industry for the rest of his career: modern lead exposure was overwhelmingly man-made. Ayisha Ashruf and her colleagues at Vikram Sarabhai Space Centre tracked seventeen pieces of 1960s-era space junk for 36 years and found that once the Sun’s sunspot count climbs past roughly two-thirds of a cycle’s peak, the upper atmosphere starts pulling debris down noticeably faster Voyager 2 flew past Neptune in 1989 and detected faint hints of auroras it couldn’t explain — because the magnetic field is tilted 47 degrees off the rotation axis and the auroras were glowing in entirely the wrong place In 1999, NASA lost a $125 million Mars spacecraft because of a metric-versus-imperial mix-up — the kind of conversion mistake most of us have made, only this one ended with a probe disappearing into the Martian atmosphere Two radio astronomers spent months trying to eliminate a faint hiss in their antenna, even scrubbing out pigeon droppings, before realising the noise they couldn’t get rid of was the afterglow of the early universe — the cosmic microwave background left behind by the Big Bang. In 1955, British historian C. Northcote Parkinson wrote a satirical essay about government bureaucracy. Seventy years later, the law that came from it may be more relevant than ever. In the 1980s, an Italian student invented the Pomodoro Technique — the popular timed focus method. He named it after the tomato-shaped kitchen timer sitting on his desk Quote by Bill Nye: “There’s nothing I believe in more strongly than getting young people interested in science and engineering, for a better tomorrow, for all humankind.”Space News
SpaceX wins $2.29 billion Space Force contract for military data network NASA selects four companies for initial moon base awards Open Cosmos’ CEO on what it takes to bring IoT to space Starcloud orders Starlink lasers for orbital data center network The surge in military budgets can help Europe’s entrepreneurial space sector — if spending speeds up Voyager wins DARPA contract for solid rocket propellant technology Regulations and access to capital continue to hinder Europe’s smallsat industry Chinese startup Mega Engine advances reusable staged-combustion rocket engine Orbit Fab, Thales Alenia to study refueling for electric-propulsion satellites Exolaunch and SEOPS purchase Falcon 9 launches for dedicated rideshare missions Northern Norway is ready to launch. EU Space Regulation — and its new Arctic policy – is not. Shenzhou-23 crew arrives at Tiangong as China maps path to 2030 lunar landing NASA to add missions to SpaceX commercial crew contract Blue Origin completes investigation into New Glenn launch failure SpaceX launches first Starship V3 Space Force awards Viasat, SES $437 million for military satellite network NASA unveils sweeping reorganization Leveraging AUKUS and southern geography: building Australia’s dual-use space infrastructure for strategic resilience SpaceX IPO filing casts Starlink Mobile as future wireless challenger Rocket Lab launches ninth Synspective satellite Rocket Lab wins first GEO satellite production contract from U.S. Space Force Ground equipment problem scrubs Starship launch attempt Sixth Varda mission successfully returns Space Force on path to double active-duty force by 2030Martin Fowler
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 Fragments: March 19 Context Anchoring Fragments: March 16 Ideological Resistance to Patents, Followed by Reluctant Pragmatism Humans and Agents in Software Engineering Loops Design-First Collaboration Knowledge Priming Bliki: Host Leadership Bliki: Agentic EmailEmbedded 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
What Happened At Boards of Canada’s “Inferno” Tokyo Listening Session SystemOne Unveils Major Rebuild Of Booking Agency Platform Attack Mag Podcast EP 14: Juliet Fox New SyncPlacement Platform Aims To Simplify Sync Research For Independent Artists Komplete 26: Pros, Cons & Best New Features AlphaTheta-Backed Study Examines Electronic Music’s Effect On Stress And Recovery Visualising Voices: Connecting TouchDesigner With Ableton Live Kiviak Launches WoFi LE Portable Sampler Expressive E – “We’re Not Trying To Replace Established Ways Of Working But To Extend Them” Expressive E Osmose CE 61 Review: Take ControlDJ TechTools
Engine DJ 5.0: on-board stems on the System 1, RGB waveforms for everyone Devious Pocket: a €249 open-source DVS that ditches the laptop InMusic just bought Native Instruments. So what now for Traktor? The DJM-V5 from AlphaTheta: 3 channels, 4-band EQ, V10 sound – no Beat FX or crossfader. Traktor MX2: Native Instruments’ New 2-Channel Controller Akai Launches MPC Live III Standalone With 8-Core Processor, Clip Matrix, Stems, and 3D Pads Ableton launches Live 12 Suite rent-to-own plan – and it’s not a subscription Meet the TR-1000: Roland’s new analog/digital drum machine with built-in sampling