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House passes sweeping bill to lower housing costs, sending it to Trump’s desk - NBC News Congress passes war powers measure for first time, rebuking Trump's war with Iran - BBC New York House primaries test Mamdani's influence, and more races to watch in South Carolina, Maryland, Utah - CBS News Man arrested near Trump’s reflecting pool plans to fight obscenity charge - The Guardian Appeals court allows Trump to fast-track deportation process nationwide - The Guardian Trump ranted about trucks and revealed how desperate he really is - The Independent Leader of group convicted in antifa-inspired attack on Texas ICE facility handed 100-year prison sentence - CBS News Judge vacates Trump policy allowing arrests at immigration courts - Politico Supreme Court rules that prison guards can't be sued for shaving Rastafarian’s head - NPR San Francisco ABC affiliate KGO-TV at risk of losing FCC license - SFGATE France records hottest-ever day as 40 drown trying to escape heatwave - Al Jazeera Iran reports progress in US talks but rules out nuclear inspections - NewsNation Russia Pressures Belarus in Bid to Open New Front in Ukraine War - WSJ Trump's America faces global side-eye - Axios Wall Street ends lower on semiconductor selloff as AI spending concerns mount - Reuters Alphabet added to Dow Jones Industrial Average, replacing Verizon - CNBC SpaceX Draws $89 Billion Demand for Debut High-Grade Bond Sale - Bloomberg Energy secretary says $17.5B in loans will help 'unleash the next American nuclear renaissance' for reactors - Fox Business Prime Day deals are officially live: Shop the best tech sales from Apple, Sony, Bose, Anker and others for up to 54% off right now - Yahoo Tech Meta Glasses ditch the Ray-Ban name for a lower price, three styles now available - 9to5Google Pre-RAMpocalypse Steam Machine Pricing was ~30% Cheaper - TechPowerUp Don't Let The Star Wars Branding Put You Off Galactic Racer - Engadget Oprah reveals Whitney Houston moment she begged audience not to share - USA Today Netflix Sets Immersive Horror Video Game ‘Unhinged’ Starring Zoë Kravitz, Sadie Sink and Troy Baker - Variety ‘Blair Witch’ Movie Reboot Lands 2027 Release - The Hollywood Reporter Disneyland guest climbs out of moving ride, slides down 52-foot drop on Tiana's Bayou Adventure - Entertainment Weekly NBA Draft 2026 results: Grades, analysis, fits for every pick - The New York Times What 15 analysts, national voices are saying about Heat trade for Antetokounmpo - Miami Herald Lafayette UFC legend Dustin Poirier arrested in Georgia: reports - KLFY.com The Golden Boot Race Has Already Gotten Ridiculous - Defector What is Starfall? A look at SpaceX's mysterious new return capsule - Space All-male NASA Artemis crew creates backlash as priorities shift - Los Angeles Times Strange interstellar comet speculated to be alien spacecraft is older than Solar System - Yahoo Another hydrothermal explosion has occurred at Yellowstone National Park - ABC News - Breaking News, Latest News and Videos COVID-19 vaccine study that was blocked from CDC journal is published elsewhere - AP News Hantavirus quarantine ends for Americans held for six weeks in Nebraska - The Guardian Ebola cases in Congo reach highest first-month total of any outbreak, WHO says - Reuters Doctors Thought It Was Asthma. A.I. Flagged a Serious Heart Problem. - The New York TimesBBC News
Hundreds of schools plan closures ahead of red heat alerts The UK's summers are getting hotter - but how prepared are we? Starmer holds talks with Burnham as he seeks 'orderly' transition Ten years on, Brexit's economic impact is becoming clearer UN says it will evacuate sailors stranded in Strait of Hormuz, as Rubio warns against tolls Want to feel happier at work? Take a five-minute walk Congress passes war powers measure for first time, rebuking Trump's war with Iran Teen boy arrested on suspicion of murder after 14-year-old girl reported missing Germany rail network briefly halted nationwide due to IT malfunction Largest maternity review in NHS history to be published Heat pump growth stalls as government support cut, warns climate watchdog Should Ghana have been awarded a penalty against England? England held to goalless draw by Ghana Who failed to make an impact? England player ratings Spence appears not to shake hands with Partey From cool-down spots to chalk on windows - how Europe is coping with the heat Drowning deaths soar in France as Europe buckles in peak of heatwave What are the signs of heatstroke in dogs? Weather for the week ahead Temperatures hit record levels in western Europe The economic challenges facing the next prime minister Stanford was their golden ticket - could AI help or hinder that? The Papers: 'Heat engulfs UK' and 'Ghana be alright' How Washington DC's Reflecting Pool became a global talking point New pictures show dozens of items bought illegally by Peter Murrell Stop pretending EU's new border system is working, says airports chief Nineteen injured after bus overturns in Wales UN commission of inquiry says Israel committing genocide in Gaza by deliberately targeting children Tech stocks tumble on concerns over AI spending PM to push ahead with controversial defence plan despite resignation US top court says Rastafarian man cannot sue prison guards who cut his dreadlocks Prince William arrives by electric bus for climate event BBC News app Will Anyone Challenge Burnham For PM? The Climate Question: Is climate change ruining our sleep? Should Ghana have been awarded a penalty against England? 'I'm back' - record-breaking Ronaldo answers critics Spence appears not to shake hands with Partey Who failed to make an impact? England player ratings England held to goalless draw by GhanaFinancial Times (World)
Red alerts across UK and Europe as heatwave takes a grip Burnham set to demote Reeves to lesser cabinet role British households not electrifying fast enough, says government climate adviser Hormuz closure strands almost 1,200 cargo ships with $125bn worth of goods Germany set to scrap plans to build its biggest warship since second world war Senate approves war powers resolution aimed at reining in Trump on Iran war FirstFT: Alibaba sues US defence department over inclusion on Chinese military blacklist US eases travel restrictions on Iran World Cup team AI money floods NY primary race in test of Big Tech’s political power US chipmakers lead Wall Street slide on rate rise worries Acclaimed bankruptcy lawyer James Sprayregen set to join Paul Weiss Alibaba sues Pentagon over inclusion on Chinese military blacklist SpaceX pitches investors juicy yields in $25bn bond deal UK tax loophole used by Shein will not be closed until October 2028 Starmer risks clash with Burnham over defence funding plan Eli Lilly and Bayer hit out at Germany’s spending on new medicines US Supreme Court limits scope of foreign human rights claims The US Treasury market rests on shakier ground HMRC reveals tax charge in new Isa rules Can anyone challenge Andy Burnham for PM? SpaceX tests its reality-warping powers on the bond market US manufacturing jobs fall at fastest rate since the pandemic Rejoining EU is ‘mirage’ but UK must get closer to bloc, says minister Stream of cabinet ministers throw weight behind Andy Burnham UK tax gap widens despite government crackdownFinancial Times (UK)
Red alerts across UK and Europe as heatwave takes a grip Burnham set to demote Reeves to lesser cabinet role British households not electrifying fast enough, says government climate adviser Germany set to scrap plans to build its biggest warship since second world war UK tax loophole used by Shein will not be closed until October 2028 Starmer risks clash with Burnham over defence funding plan HMRC reveals tax charge in new Isa rules Can anyone challenge Andy Burnham for PM? Rejoining EU is ‘mirage’ but UK must get closer to bloc, says minister Stream of cabinet ministers throw weight behind Andy Burnham UK tax gap widens despite government crackdown The 10 headaches Starmer is handing to Burnham Fairytale economics holds the UK back UK fiscal watchdog picks former BoE rate setter as its new chair Parents fund aircon for schools as UK heatwave forces classes to end early Peter Murrell sentenced to five years in jail for embezzling SNP funds Labour’s Burnham sceptics don’t have the numbers to stop him Why Denmark’s centre-left PM accepts far-right support for her migration plans Burnham might just have what it takes to see off Farage UK businesses reject calls to rejoin EU, says CBI chief How London fell back in love with trattorias Draw your own chart game: how well do you know Brexit? What’s next for the UK after Starmer? Burnham poised to succeed Starmer as UK prime minister Starmer resignation as it happened: Burnham poised to become UK prime ministerThe New York Times
Meta Has Created a Prediction Markets App U.S. Presses Meta to Agree to A.I. Reviews China Takes Supercomputer Crown From U.S. For First Time Since 2017 Tesla Crash That Killed a Texas Woman Will be Investigated by Federal Regulators N.S.A. Lost Access to Powerful A.I. Model Amid Anthropic Dispute Tesla Driver Using Autopilot Crashes Into Home in Texas and Kills a Woman, Officials Say A Humble 3-Wheel Electric Vehicle Lands Toyota in Federal Court ‘Hard Fork’ Live, Part 3: Differing Visions of an A.I. Future The Ageless and Undefeated Champs of Tulsa’s Wii Bowling League Have You Bought a Tesla Recently? We Want to Hear From You. Amazon Retaliated Against Workers Who Supported Regulating Data Centers, Complaint Says Trump Says Apple to Buy Computer Chips from Intel Tech Workers Maxed Out Their A.I. Use. Now They’re Trying to Minimize It. As India Temporarily Bans Telegram, Which Other Countries Have Restricted the Messaging App? New Super PAC, the Guardrails Alliance, Aims to Rally Tech Workers to Help Limit A.I. Elon Musk’s Next Move May Be a Mega-Merger of SpaceX and Tesla How the ‘Hard Fork’ Hosts Bring Their Tech Podcast to a Live Audience Anthropic Employees Accuse Trump Administration of Targeting Them Why Waymo’s Driverless Taxis Won’t Be on Your Streets Anytime Soon ‘Hard Fork’ Live Part 2: Dylan Field on Standing Out in the A.I. Era The Cloud Has Sound: The Unrelenting and Unseen Cost of A.I. Data CentersThe Guardian
Kenyan minister orders halt to construction of US Ebola facility UK prioritised ties with UAE over averting mass atrocities in Sudan, MPs to be told Sweat, tears and camaraderie as 20,000 runners take on world’s largest ultramarathon Ghana conference calls for formal apology for transatlantic slave trade CDC to tap $107m in emergency funding for Ebola response in DRC and Uganda Canadian police warn of possible copycat attacks after deadly shootout in Montreal Former Pinochet agents convicted over 1976 Washington DC carbomb murder Whistleblower investigating Ecuadorian president’s family business was murdered, activists say Montreal mayor calls for end to random police checks amid racial profiling investigation ‘Cruel hoax’: Canadian healthcare staff decry employer’s email promising fake day off Lost memoir of Hiroshima survivor found after decades in US archive Dutch PM apologises for Moluccan soldiers’ mistreatment after Indonesian independence Weather tracker: Severe thunderstorms sweep Europe and east Asia Lululemon apologises after Japanese drum row at Great Wall yoga event Vietnam police rescue hundreds of cats stolen for meat by crime ring Australia politics live: Energy minister asks regulator to investigate big jump in power companies’ supply fees Multiple Airbus A380 planes to be grounded for urgent inspections after cracks found in wings Scientists find ‘smoking gun’ evidence of world’s oldest meteorite strike in Western Australia Karl Stefanovic podcast interview with UK far-right activist Tommy Robinson removed from YouTube Labor’s tax deal with the Greens is a crucial win – but its NDIS changes could pay the price Europe’s heatwave drives electricity prices to new highs as demand soars Searing UK heat leaves schools, hospitals and transport networks struggling to cope Forty people drown in France; Met Office warns UK temperatures could reach 39C – as it happened Volodymyr Zelenskyy to skip postwar conference amid tensions with Poland France records hottest day ever as 40 people drown across country Israel continues to commit genocide by targeting children in Gaza, UN inquiry finds Rubio insists strait of Hormuz will be toll-free as he arrives for Gulf meeting Department of Homeland Security will allow Iran to travel to US early for World Cup match Middle East crisis: Rubio and Vance hold call with Lebanon’s president; Trump claims Iran has agreed to nuclear inspections ‘long into future’ – as it happened US-Iran talks laid ‘very good foundation for a successful final deal’, says Vance – as happened EU faces fierce criticism over plans to host Taliban in Brussels Taliban order ban on smartphones as officials shown destroying devices ‘Period tax’ on sanitary products to be abolished, says Pakistan minister Sri Lanka sees ‘alarming’ rise in cybercrime as scam networks relocate from south-east Asia Indian outrage over US killing of sailors mounts as leaders attend G7 summit Weakening UK net zero policy would damage economy, chief climate adviser says Deaths linked to London air pollution have fallen 40%, study estimates Adidas, Uniqlo and Calvin Klein ads in UK banned over ‘recycled’ clothing claims Andy Burnham picks former Blair minister James Purnell as chief of staff Card payments outage hits pubs and shops during England match House gives final approval to bipartisan housing bill aimed at lowering costs Trump’s acting intelligence chief fires dozens of staff members – report Man arrested near Trump’s reflecting pool plans to fight obscenity charge California teen plotted Columbine-type shooting at library that left two dead, officials say US Senate passes war powers resolution challenging Trump’s Iran war authorityHacker News
Vulnerability reports are not special anymore Extreme Heat conference cancelled due to extreme heat warning California AB 2047 makes 3D printers off-limits to students, educators, business Trains halted across Germany because of communication system problem Don't verify email addresses by sending spam to them Jerry's Map Fired by Google for creating the Google workspace CLI In memory of the man who put red and green squiggles under words Swift Package Index joins Apple FUTO Swipe – A new swipe typing model The worthlessness of Vitamin D is mildly exaggerated Show HN: TikZ Editor – WYSIWYG editor for figures in LaTeX The Low-Tech AI of Elden Ring Unlimited OCR: One-shot long-horizon parsing The Coming Loop AI has already killed academia as we know it? Five monitors on a Commodore 128 [video] Wolves are reconquering Europe. Can people learn to live with them? A man was gifted his dream car by Kevin Mitnick, who he helped put in prison Rhombus Language 1.0Arxiv astro-ph.HE
Old and Bright: The Remarkable Radio Brightening of the Engine-driven SN 2012au Several Years After Explosion Signals the Birth of a PWN Radio Follow Up of a Sub-threshold GRB in the Sky Localization Area of GW241125 Little Red Dots as Supermassive Analogs of SS 433 XRISM Time-resolved Fe K$\alpha$ Spectroscopy of NGC 4395: Time-variable Inner-disk Emission Probing dipole and quadrupole anisotropy in Gamma-ray bursts from Swift dataset A broadband view of the thermal and non-thermal emission from the embedded massive star cluster RCW 38 A New Scaling of Neutron Star Tidal Deformability for Directly Probing the Core Equation of State The Fundamental Planes of Black Hole Activity for High-Synchrotron-Peaked BL Lacertae Objects Subgrid Modelling for Relativistic Magnetohydrodynamics with Machine Learning Getting Tilted: Random Walk of Binary Black Hole Spin-Orbit Alignment in Dense Star Clusters A grid of fast-rotating, chemically-homogeneous, supernova and/or long-GRB progenitors Do Prompt Gamma-ray Burst Fireball Composition Impact on Afterglow Emission? Cases Study for Long GRBs 080916C/090902B and Short GRBs 090510/130603B Intraday Optical Variability of BL Lacertae during its Highly Active 2020-2024 Phase Fast Optical Variability of the TeV Blazar PKS 1725+123 Observed by SVOM-VT and Insights from Multi-wavelength Follow-up Observations Multiwavelength variability of the high-energy neutrino candidate PKS 0735+178 over three decades Crust glass formation reveals the neutron star birth properties in IGR J17480-2446 Fast targeted gravitational-wave followup search for compact binary mergers using GSTLAL pipeline EMU discovery of Thunder: a bow-shock PWN powered by PSR J1631-4722 escaping Nimbus SNR (G336.7+0.5) Fermi bubbles detected in $\sim$100 TeV neutrinos Unified Mass-Scaled QPO Signatures of Kerr Sen Black Holes from Stellar Mass to Supermassive Sources Polarization Angle Geodesics in PSRs B1133+16 and B2016+28 Finite-volume scheme for first-order viscoresistive relativistic magnetohydrodynamics Testing the Generalization and Domain Stability of Compact Feature Representations for Photometric Supernova Classification Are most detected tidal disruption events partial? On the assessment of the disk truncation and detection of type-II bursts from the accreting millisecond X-ray Pulsar IGR J17062-6143 When the black holes align: a subpopulation of aligned massive binary black holes observed via gravitational waves Galactic Cosmic Ray Transport in the Giant Circumgalactic Medium Halo Reverberation in the Narrow Fe K${\alpha}$ Line in the Seyfert Galaxy NGC 4151 with XRISM Neutron Star Mass-Radius Constraints for EXO 0748$-$676 from 2008-2025 Quiescent X-ray Spectra TeV-PeV Gamma-ray and Neutrino Emission in the Galactic Plane A Tentative Double Excess in the Gamma-Ray Spectrum of the Fermi Blazar 4FGL J0604.9-0000 Spectral and timing variability of the transient ultraluminous X-ray source NGC 4631 X-4 Gas-induced perturbations on the gravitational wave in-spiral of live post-Newtonian LISA massive black hole binaries: 0.1 disk aspect ratio Minimal Proton-Mass Dark Matter Out-of-Equilibrium Effects in Non-Radial Relativistic Stellar Perturbations: A Model-Agnostic Formulation and Mode Analysis Population-level correlations in Bayesian statistics: an illustrative model for gravitational-wave astronomy Is the coexistence of strange quark stars and hadronic stars favored by astrophysical data? A Bayesian analysis Relativistic effects in extreme-mass-ratio inspirals within scalar clouds: Eccentric and inclined orbits Wave-optics imprints of dark matter subhalos on strongly lensed gravitational waves. II. Saddle images and detectability Hyperonic equation of state for neutron stars: A systematic Bayesian comparison of density-dependent and non-linear relativistic mean-field models Plasma Flow Generation and Particle Acceleration from Expanding Magnetic Bubbles Determining Kerr black hole spin and inclination from a segment of the critical curve in black hole images The local ultraviolet signature of Type Ia supernova environments from HST and MUSE Fast Radio Burst Cosmology: Hubble Tension and Dark Energy Characterization of Numerical Dissipation in Simulations of Magnetohydrodynamic Turbulence Migration Traps as Variability Attractors: Optical/UV Signatures of Embedded Stellar-Mass Black Holes in Active Galactic Nucleus Disks Comparative Study of Two Luminous Red Novae I. Progenitor Modeling and Dust Formation Remarks on atmospheric effect of D-foam in light of muon puzzle Diffuse Supernova Neutrinos with Secret Neutrino Interactions Signatures of gravity-mediated dark matter interaction in theories with large extra dimensions Observables and conformal properties of dark matter admixed isentropic neutron stars Gravitational Shapiro Telescope on the PSR's period to discover Dark Planets and Machos Investigating the Correlation between ZTF Tidal Disruption Events and IceCube High-energy Neutrinos Observation of Galactic center in the sub-MeV gamma-ray band with electron-tracking Compton camera Impact of the nuclear equation of state on the explodability of massive stars Cosmological Evolution of Gamma Ray Bursts Search for GeV-scale Dark Matter from the Galactic Center with IceCube-DeepCore Pulsar electrodynamics inferred from frequency-dependent circular polarization diversity Impact of the EPOS.LHC-R hadronic interaction model on the Centaurus A ultrahigh-energy cosmic-ray scenario Proton Acceleration by Collisionless Shocks in Supermassive Black Hole Coronae: Implications for High-Energy Neutrinos Multiwavelength Modeling of the Luminous Fast Blue Optical Transient AT2024wpp Progenitor of the recoiling super-massive black hole RBH-1 identified using HST/JWST imaging An infrared echo from a circumstellar disk in the hydrogen- and helium-poor SN 2024aecx Ballistic Surfing Acceleration as a Coherent Mechanism for Electron Acceleration in Galaxy Cluster Shocks Gravitational Wave Measurement of the $M_\mathrm{BH}$-$M_\mathrm{bulge}$ Intrinsic Scatter at High Redshift Recoil kicks from binary black hole mergers in GWTC catalogs: implications for retention and hierarchical mergers Data-Driven Constraints on Magnetar Population: No Evidence for a Distinct White Dwarf Channel Galactic Diffuse Gamma-Ray and Neutrino Emission from Cosmic-Ray Interactions in Stellar Atmospheres SAETASS: Solver for Astroparticle Equation of Transport Analysis in Spherical Symmetry A Pilot Study of Mildly Recycled Pulsars: A Case Study of PSR J2338+4818 A Note on QPE Timing: False Alarms in O-C Data-driven extraction, phenomenology and modeling of eccentric harmonics in binary black hole merger waveforms New Constraints on Neutrino-Dark Matter Interactions: A Comprehensive Analysis Implications of modern mass-loss rates for massive stars Hubble constant constraint using 117 FRBs with a more accurate probability density function for ${\rm DM}_{\rm diff}$ Renormalization-Group Invariant Parity-Doublet Model for Nuclear and Neutron-Star Matter Radial dust distributions and obscuring geometry in AGN from JWST/MIRI spectroscopy Chiral three-nucleon forces for the new local position-space two-nucleon potential in $\textit{ab initio}$ many-body calculations Prospects for the detection of gamma rays using Cherenkov telescopes enhanced by a ground array observatory Modern tidal interaction models for rapid binary population synthesis: I. Methods The effects of non Bunch-Davies initial conditions on gravitationally produced relics Local Origin of Hidden Symmetry in Rotating Spacetimes Compact and Physically Interpretable Feature Models for Photometric Type Ia Supernova Classification Magnetar counterparts, kinematics and birth sites with HST and JWST On the Universal Cuspy Behavior in Black Hole Shadows Self-gravitating quantum stars with a globally relevant Bohm potential Pitching Cosmic Curveballs: Environmental Effects on Extreme-Mass-Ratio Inspirals with Spinning Secondaries Are Primordial Black Holes a Natural Dark Matter Candidate? A HINSA view of cosmic-ray ionization in IC 348 and NGC 1333: evidence for a strong low-energy cosmic-ray disparityArxiv cs.LG
Towards CSI-Native Foundation Models: A Channel-Adaptive Roadmap for 6G NeuroShield: A Device-Agnostic Foundation Model for EEG Authentication Massive Activations Are Architecturally Robust: A Controlled Scratch/Commitment Residual Stream Test CIExplainer++: Generating Causal and Interpretable Explanations for Graph Neural Networks Evidential Fusion Network for Multimodal Survival Prediction under Missing Modalities ELADO: Elliptic PDE Assessment Datasets for Operator Learning B[FM]$^2$: Brain Foundation Model via Flow Matching with SplitUNet CELEUS: Certifiable and Efficient LLM Evaluation via E-Processes Evolutionary Discovery of Developmental Reward Schedules in Deep Reinforcement Learning Machine Learning Classification of Cryopathy Syndromes: A Comprehensive Comparative Study Understanding Latent Flow Models for Tabular Data Synthesis: Targets, Paths, and Sampling Temporal Causal Prior-Data Fitted Networks for Panel Data with Learned Reliability Signals MMGNN: Multi-level, multi-color graph neural networks for molecular property prediction Physics-Guided Dual-Stream Heterogeneous Graph Neural Network for Predicting Full-Field Structural Response of Stiffened Panels Short-Term Electricity Demand Forecasting for New England Using a Hybrid Transformer-XGBoost Framework with Weather, Calendar, and COVID-19 Indicators $\Omega$: Operator-based Mixture Ensemble for Generative Assimilation Hierarchical Pooling for Sheaf Neural Networks Towards Robust Training in NNGPT AutoML Pipeline: A Loss-Optimizer Pairing Selection Study Learning through Internalization Grouped Query Experts: Mixture-of-Experts on GQA Self-Attention A Gated Graph Neural Network Approach to Fast-Convergent Dynamic Average Estimation Right Knowledge, Wrong Answer: Test-Time Steering for Temporal Fact Conflicts in Open-Weight Language Models Is Our Benchmark Enough? An Analysis of Continual Learning for MLLMs Formalizing Task-Space Complexity for Zero-Shot Generalization Detecting Satellites in Radio-Frequency Data via Semi-Supervised Learning Physics-Guided Fully Convolutional Spatiotemporal Learning Toward Digital-Twin-Enabled Microstructure Evolution Prediction Continuous-Time Probabilistic Correctors for Uncertainty-Aware Physics-Based Spacecraft Trajectory Forecasting Structure-Aware Graph Multi-Task Learning for Dynamic Sparse OD Demand Prediction Demystifying Numerical Instability in LLM Inference: Achieving Reproducible Inference for Mission-Critical Tasks with HEAL An Efficient and Effective Architecture for Large-Scale Traffic Prediction via Geometry-Adaptive Square Partitioning Sim2O: Efficient Offline-to-Online MARL via Joint Action Composition BASIL: Bayesian Application for Scientific Iteration and Learning SLeDGe: Semi-Supervised Learning on Data Streams with Graph Structure Learning Enhancing Differentially Private Mechanisms via Empirical Bayes Chem2Gen-Bench: Benchmarking Chemical-to-Genetic Translation in Perturbation Response Space What Accuracy and Gradient Cosine Miss: Evaluating Feedback Alignment via Scale Stability, Reference Validity, and Depth Utility Horizon Adaptive Offline Policy Learning via Value Stitching Dead-Direction Signatures: A Cheap Spectral Reading of Singular Complexity Inverting the Bellman Equation: From $Q$-Values to World Models Rejections Based on Predictive Uncertainty Enable Reliable Routine Soil Spectroscopy TF-SNO: Time-Frequency Gated Spectral Neural Operators for Learning Non-Stationary Partial Differential Equations DCD-PFN: A Decoupling-Aware Foundation Model for Causal Discovery Sakana Fugu Technical Report Comparative Evaluation of Machine Learning and Deep Learning Models for Wound-Rotor Synchronous Motor Performance Prediction Does RoPE Prevent or Degrade Retrieval Heads? A Mechanistic Analysis Across Model Families Gradient-Free Warm-Start Library Recovery: an Amortized-Regret Separation Intrinsic Flow Matching on Quantum Pure-State Manifolds with Phase-Aligned Transport An Empirical Study of OpenPangu Quantization on Ascend NPUs Reward-free Pretraining for Reinforcement Learning via Occupancy Coverage Maximization Reconstructing Randomly Masked Spectra Helps DNNs Identify Discriminant Wavenumbers Topological Neural Dynamics: A Neuron-wise Framework for Sequence Modeling NASDAQ: Normalized Observation Space Dynamics-Augmented Q-Learning Task-Differentiated Atomic Skill Expansion and Routing for Continual Learning Across Highly Heterogeneous Tasks Objective-Behavior Alignment: Diagnostics for MORL Policy Selection Distinguishing indistinguishable attractors: Unsupervised anomaly detection with reservoir computers MedTS-TTT: Test-Time Training for Medical Time Series Classification Ramanujan Graph Rewiring with Non Negative Resistance Curvature DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams A Reward-Petri-Net Interpretation of Temporal Behavior Trees Urban Power Grid Topology and Hierarchy Identification from Open Data SOHET: Sequence Of Heterogeneous Events Transformer with Self-Supervised Pre-Training Predictive Repair Management Using a Multi-Head Attention Transformer and Online Learning Enhancing Creativity in 3D Generative Design via a TRIZ-Inspired Text-to-CAD Framework Unsupervised Disentanglement Without Compromises : How Functional Orthogonality Enforces Identifiability VLA-FAIL: Efficient Task Failure Detection for Finetuned Vision-Language-Action Models Atomistic Language Models Understand and Generate Materials One Size does not Fit All: Heterogeneous Latent Space Alignment for Unsupervised Domain Adaptation Federated Temporal Attention Intelligence for Cyber-Resilient IoMT: Lightweight Digital Twins and PPO-Driven Honeypot Deception Dual-Attention Convolution Experts for Sparse Tensor Completion Universal Encoders for Modular Relational Deep Learning Fusing Backdoors, Machine Learning, and Optimization for Large-Scale Parametric Mixed-Integer Programs Fast-TurboQuant: A Multiplier-Free Online Vector Quantization Approach Post-Training Speech Enhancement Language Models with Perceptual Rewards Deep Learning for Soil Moisture Estimation: Fusing Satellite Data with Optimally-Lagged Meteorological Features Robustness Cannot be Reduced to Regularization: Studying Adversarial Training Beyond the Linear Case Predicting High-Risk Colorectal Polyps in African Americans Using Pre-Colonoscopy Clinical Features: Machine Learning Model Development and Temporal Validation Breaking chains with trees: Deep learning with $\mathcal{O}(\log N)$ parallel time complexity Privacy-Preserving Federated Temporal Graph Learning with Digital Twin--Guided Adaptive Deception for Cyber-Resilient IoMT Towards Understanding the Power and Limits of the Muon Optimizer: A River-Valley Perspective Backpropagating Through Simulation: Analytic Policy Gradients for Sample and Learning Efficient Differentiable Continuous Control Memory Is No Longer a Bottleneck: Memory-Efficient Graph Filtering for Scalable Collaborative Filtering LIG: Layer-wise Integrated Gradients for Within-Layer Flow Analysis in Transformers The Cost Geometry of Belief: finite-resource inference under noisy observation FAST: A Framework for Aligned Sampling and Training in Parallel Reinforcement Learning for Autonomous Driving Geometric and Information Compression of Representations in Deep Learning Learning to Place Guards by Reinforcement: A Geo-Free Neural Policy for the Vertex-Guard Art Gallery Problem The Two-Hump Problem: Bridging the Difficulty Gap in Mathematical Reinforcement Learning HERALD: High-Throughput Block Diffusion LLM Serving via CPU-GPU Cooperative KV Cache Retrieval A new classification method based on Minimum Spanning Trees When Is an LLM Worth It for Hyperparameter Optimization? A Budget-Matched Study on Tabular Data Finds the Warm-Start Is a Default Configuration, Not the Model A Framework for Directed Acyclic Hypergraph Learning Decodable but Not Faithful: Coupling Natural-Language Rationales to Programmatic Verifiers Expressivity Saturation: Reduced Affine Region Usage Under Increasing Task Complexity Embedding Linear Equality Constraints in Probabilistic Neural Networks for Dynamic Modelling AdaPrivate-TS: Private Thompson Sampling for Contextual Bandits with Privacy Amplification Decision-Focused Learning: When and Why Traditional Prediction Models Fail Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning A Causal DAG Prior for Synthetic Time-Series Classification Datasets RocketPFN: Accurate Time Series Classification via In-Context Learning What Do Lorentz-Equivariant Jet Taggers Learn? Discretizing Reward Models Causal Variational Deep Embedding: A Family of Interventional Generators for Confounded Images Causal Gaussian Processes for Robust Treatment Effect Evaluation with Unobserved Confounding Local Causal Attribution of Chain-of-Thought Reasoning Mat-Pref: Verifiable-Reward Training Improves Compositional Reasoning in Inorganic Materials UniRank: Unified Rank Allocation for Low-Rank LLM Compression WiSP: A Working-Set View of Mixture-of-Experts Serving on Extremely Low-Resource Hardware Protein contacts are already in the attention: a single-forward-pass alternative to the Categorical Jacobian A Verifiable Search Is Not a Learnable Chain-of-Thought Cohort-Anchored Foundation Models for Electronic Health Records: From Risk Scores to Auditable Peer Cohorts Ranking-and-Selection with Multiple Correct Answers and Non-Answerable Estimates AgroSense 2.0: Cross-Modal Transformer Fusion with Geospatial Raster Integration and Interpretable Multi-Task Learning for Precision Crop Recommendation Data Pruning: Redundant, Problematic, and Interdependent Samples Selective Ensemble Based on Preference-Directed Multi-Objective Bandits DevoTG: Temporal Graph Neural Networks for Modeling C. elegans Developmental Connectomics Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning On the Curse of Dimensionality in Private Sparse Covariance Estimation and PCA Learning by Shifting: Temporal View Construction for Time Series Contrastive Learning A Standard Processing Pipeline for High-accuracy Measurement of Few-shot Regression on Laser Induced Breakdown Spectroscopy VegSim: A Geospatial World Model for Scenario-Conditioned Vegetation Simulation SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning Prefix-Guided On-Policy Distillation: Mining Golden Trajectories from Rollouts Load Testing for Machine Learning Model Serving Systems at Scale Channel Location Constrains the Auditability of Subliminal Learning Cluster-Specific Localized Drift Detection for Efficient Batch Model Adaptation under Controlled Distribution Shift A Completion-Aware Framework for Impactful Counterfactual Explainability in Graph Neural Networks Gradient-Descent Steps to Success over Mean Accuracy: A Paradigm Shift for ML Provably Efficient Policy-Reward Co-Pretraining for Adversarial Imitation Learning New Smooth Loss functions for Robust Regression that Closely Approximate Absolute Error and Provide Improved Performance on Datasets With Significant Outliers Frequency-Domain Neural ODEs for Modeling Non-Linear Dynamical Systems OphthaDT: Generative Digital Twins for Forecasting Visual Acuity Trajectories in Ophthalmology Meta-Reinforcement Learning via Evolution for Multi-Objective Combinatorial Supply Chain Optimisation Parameterized Representations via Implicit Stochastic Modulation for High-Dimensional and High-Order Neural PDE Solvers Drowning in Routine: Signal Dilution in Multi-Turn Agent Training Early-Exit Graph Neural Networks for Link Prediction Beyond Time Series: Spatial Reasoning for Epidemic Forecasting via Multimodal Learning Gated MLPs as Symmetry-Broken Rank-1 Bilinear Attention Residue-Level Attributions in Protein Language Models Do Not Recover Allergen Epitopes Bayesian Adaptation Gym: A Benchmark for the Bayesian Low-Rank Adaptation of Multi-Modal Language Models L20-Edu-135M: An Auditable Single-GPU Study of Data-Efficient Small Language Modeling Neural Conjugate Aggregation: Identifiable Unsupervised Multi-Sensor Regression under Heterogeneous Sensor Bias Sequential Minimal Optimization Algorithm for One-Class Support Vector Machines With Privileged Information SamatNext v0.2-B: An Exploratory Study of RMS-Normalized Hybrid Decoders for Curriculum Retention in Small Code Models On the Expressive Power of Weight Quantization in Large Language Models Evolving Spatial Weights for Cartographic Synthesis From Handcrafted Features to Functional Edge Learning: Evolution of EEG Seizure Detection Frameworks Learning a Normal World Model for Few-Shot Boundary-Calibrated Abnormality Detection SCENIC: Semantic-Conditioned Edge-Aware Neural Framework for Structured IoT Command Generation Encoder-Decoder Manifold Alignment for Idempotent Generation Enhancing Protein Representation Learning via Manifold Restore Mixing Diffusion Integrated Gradients: Controllable Path Generation for Flexible Feature Attribution Curriculum Reinforcement Learning Can Incentivize Reasoning Capacity in LLMs Beyond the Base Model All Routes Lead to Collapse Select-to-Act: Hierarchical Reinforcement Learning via Adaptive Language Guidance Reliability-Guided Adaptive Ensembling for Robust Test-Time Adaptation On the Sparsity-Storage-Accuracy Tradeoff in Parsimoniously Activated Dictionary Learning Multigrid Training for Molecular Generation using Graph Neural Networks Bypassing Minimization Bias: A Shift-Invariant Variance Estimator for Off-Equilibrium Local Learning Coefficients Asymptotic Signal Subspace Recovery in Softmax Attention Models QeHDC: Hyperdimensional Computing based on Quantum-enhanced binding and SuperClass Construction Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation Escaping the Variance Trap: Jacobian-Free Dynamics for Root-Finding Bilevel Optimization Distribution-Aware Robust Bilevel Optimization: Quantile-Guided Huber Updates in Two-Timescale Stochastic Approximation Adaptive Recurrent Message Passing for Test Time Computing on Graphs Federated learning with heavy-tailed gradient noise and communication noise: a variance-reduction based algorithm Fed-CausalDiff: Decoupled Synchronization for Federated Do-Simulation and Policy Evaluation The Scissors Effect: When Resize-Based Input Diversity Helps or Hurts Transfer Attacks Generative Robust Optimisation Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation Stationary Robust Mean-Field Games under Model Mismatches Training-free Task Classification for Multi-Task Model Merging On the Position Bias of On-Policy Distillation Federated Learning for Global Carbon Emission Forecasting: A Hybrid Time-Series Approach with Statistical and Neural Models Scalable Maximum Entropy Reinforcement Learning for Diffusion Policies via Adjoint Matching A Markov Chain Approach to Preference Alignment Foundation Models for Epileptogenic Zone Identification in Drug-Resistant Epilepsy LSTM Variants for Chaotic Dynamical Systems: An Empirical Study on the Lorenz Attractor Clipping the Price of Adaptivity at the Tail SCRUB-FL: Sanitizing and Cleansing Representations via Unlearning of Backdoors Subspace-Constrained Federated Learning with Low-Rank Adaptation GRADE: Graph Representation of LLM Agent Dependency and Execution Error Highways: Scaling Predictive Coding to Very Deep Networks One-Step Flow Matching for Generative Modeling of Path-Dependent Physical Fields Factored Gossip DiLoCo: Reducing Blocking Communication in DiLoCo Noise is Signal: Density-Based Outliers as Leading Indicators of Occupational Emergence in Labor Market Text Statistical Matching via Schr\"odinger Bridge beyond Conditional Independence GeoRouteNet: Geometry-Enhanced Non-Autoregressive Neural Solver for the Traveling Salesman Problem Explainable AI for Mental Health Prediction in Drug-Affected Populations with Dragonfly Algorithm and GAN Oversampling Towards Robust Personalized Federated Learning: Vulnerability Assessment and Defense Co-Design Retrieval-Augmented Multimodal Learning for Enzyme-Substrate Interaction Prediction Under Low-Homology Shift BranchShine: Compact Raw-Audio-to-IPA Transcription with a RoPE E-Branchformer Encoder CLIP-guided Diffusion Model for Backdoor Generation in Sensor-based Human Activity Recognition RLM-Cascade: Response-Level Speculative Decoding for Cost-Efficient LLM API Serving The Unseen Hand: Manipulating Model Fairness and SHAP with Targeted Identity Re-Association Attacks When AUC 0.998 Is Not Enough: A Candidate Evaluation Protocol for Hidden-State Probes of Indirect Prompt Injection in Multimodal Computer-Use Agents Discovering Crystal Structure Prediction Algorithms with an AI Co-Scientist SpotAttention: Plug-In Block-Sparse Routing for Pretrained Long-Context Transformers Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning Physiology-Aware CNN and Zero-Shot Multimodal LLMs for ECG Image Classification: A Comparative Study Learning Graphs through Continuous Information Entropy Fields PromptDyG: Test-Time Prompt Adaptation on Dynamic Graphs GRAIN: Group Aggregation via Min-Norm Objective Hierarchical Reinforcement Learning for Sparse-Reward Search in Commutative Algebra EEG Benchmarking Needs a Task Specification Layer: NeuroDoc for Rulebook-Guided, Executable Benchmark Construction FORGE: Fused On-Register Gradient Elimination for Memory-Efficient LLM Training Provable Benefits of RLVR over SFT for Reasoning Models: Learning to Backtrack Efficiently Neural Operator Processes for Probabilistic Operator Learning under Partial Observations DT-GOL: Dual-Track Geometric Online Learning in Nonstationary Environment with Label Delay PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models Attacking the Trusted Imagination: Oracle-Level Integrity Attacks on Imagine-then-Act World Models Topological Out-of-Domain Generalization in Dynamical Systems Reconstruction TaLK: Text-attributed Graph Dataset Distillation via Coupling Language Model with Graph-Aware Kernel Understanding Parallel Samplers in Masked Diffusion via Random Walks on Graphs Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift Do Sparse Autoencoders Learn Meaningful Concept Hierarchies? Group-Graph Policy Optimization for Long-Horizon Agentic Reinforcement Learning A Novel Approach to Temporal QoS Estimation via Extended Kalman Filter-Incorporated Latent Feature Analysis Counterfactual learning of new adaptive instructional policies using logged data EvoRubrics: Dynamic Rubrics as Rewards via Adversarial Co-Evolution for LLM Reinforcement Learning Prime Fourier Embeddings: A Principled Basis for Modular Arithmetic PeLAP-A: Adaptive Latent Pruning for Lightweight Latent Diffusion Models FlowTrain: Flow-Based Decoupled Training for Industrial-Grade Vision-Language Models FLFL: Federated Latent Factor Learning for Private Recovery of Spatio-Temporal Signals Minimax Quantile Lower Bounds for Interactive Statistical Decision Making with Privacy ReNIO: Reweighting Negative Trajectory Importance for LLM On-Policy Distillation Self-Evolution for Multi-Turn Tool-Calling Agents via Divergence-Point Preference Learning Temporal-Spectral Alignment with Frequency Adaptation for Source-Free Time-Series Adaptation The Fractal Neural Operator: Overcoming Spectral Bias in Chaotic Attractors via Prime-Harmonic Weierstrass Encodings Weighted Score-Oriented Losses for Temporally Localized Event Prediction Substitution-Based Analysis of Structural Novelty for Generative Models of Materials Position: Correct Answer, Wrong Mechanism -- When AI Scientists Defend General Claims Their Own Data Contradicts EML Trees Are Universal Approximators Stage-dependent integer-binary encoding in factorization-machine black-box optimization Memory Contagion: Cross-Temporal Propagation of Evaluator Bias via Agent Memory Bridge the Gaps: Heterogeneous Attributed Graph Clustering via Quaternion Representation Learning Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks Efficient Network Inference via Hardware-Aware Architecture Search, Model Pruning & Quantization Deep learning-based detection of cessation of breathing in pre-term infants Unlocking In-Context Learning in Audio-Language Models from Decentralized Medical Audio Dynamic multi-agent deep reinforcement learning-based pricing and incentivization approach in multimodal transportation networks Exposing the Illusion of Erasure in Knowledge Editing for LLMs Non-asymptotic estimates of the minimal risk in statistical learning GRIMIP: A General Framework for Instance-Specific Configuration of MIP Solvers Using LLMs Superhuman AI for Generals.io Using Self-Play Reinforcement Learning SOAP-Bubbles: Structured Weight Uncertainty for Neural Networks Adaptive Hard-Soft Physics-Informed Neural Networks for Robust Boundary-Constrained PDE Solving Rethinking Molecular Graph Backdoors under Chemistry-aware Admission Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime Distribution-Aware Diffusion-LLM for Robust Ultra-Long-Term Time Series Forecasting Physics-Informed Modeling for Wood Thermal Analysis and Prediction HyperQuant: A Rate-Distortion-Optimal Quantization Pipeline for Large Language and Diffusion Models Differential Spectral Damping Gap Adaptive Regularization for Ill-Conditioned Kernel Methods Leveraging Similarities in Multi-Armed Bandits GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation Interpretable Kolmogorov-Arnold Network with Feature-Isolated Temporal Attention Mechanism for Electricity Load Forecasting What Does a Chemical Language Model Know About Molecules? Selective Time Series Forecasting via Metalearning Do Location Encoders Capture Spatial Effects? A GeoShapley Benchmark Across Scales TROPT: An Open Framework for Unifying and Advancing Discrete Text Optimization Collapsed Effective Operators for Higher-order Structures Simulation-Free Estimation of Traffic Flows from Sparse Count Data The Energy Consumption of Transformer Fine-Tuning: A Roofline-Inspired Scaling Model Scheduling Thoughts: Learning the Order of Thought in Diffusion Language Models SVD-Surgeon: Optimal Singular-Value Surgery for Large Language Model Compression Patient-Aware Contrastive Learning Preserves Per-Patient Structure in RR-Interval Representations A Spectral Theory of Normalized Corrected GNN Propagation Solve for the Hyperparameter, Skip the Search: Kolmogorov-Optimal Scaling Laws for Spline Regression It's Much Easier for Neural Networks to learn Game of Life Dynamics with the Right Activation Function: Polynomial Kolmogorov-Arnold Networks Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior MORL-A2C: Multi-Objective Reinforcement Learning Reranker for Optimizing Healthiness in MOPI-HFRS Scaling Linear Mode Connectivity and Merging to Billion Parameter Pretrained Transformers Discovering Latent Groups for Robust Classification DiT-Reward: Generative Representations for Text-to-Image Reward Modeling Muown Implicitly Performs Angular Step-size Decay Learning Process Rewards via Success Visitation Matching for Efficient RL Dynamic estimation of slowly varying sequences MAS-PromptBench: When Does Prompt Optimization Improve Multi-Agent LLM Systems? On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners Tapered Language Models Open Problem: Is AdamW Effective Under Heavy-Tailed Noise? A geometric and deep learning reproducible pipeline for monitoring floating anthropogenic debris in urban rivers using in situ cameras Protocol-Aware Tokenization and Architecture Co-Design for Wireless Packet Foundation Models Empowering Embodied AI in 6G Networks: Architecture, Enablers, and Open Challenges Beyond Fixed Budgets: Characterizing the Inelasticity and Limitations of Tree-of-Thought Reasoning Strategies The New Associationism: Lessons from Deep Learning Estimating Learners' Skill Acquisition Without Temporal Information Analysis and Prediction of At-Risk Students Using Machine Learning Algorithms PEAR: Permutation-Equivariant Adaptive Routing Multi-Agent Debate Darwin Mobile Agent: A Roadmap for Self-Evolution Path-dependent program induction under resource constraints explains human sequence learning In LLM Reasoning, there is Irrationality on top of Value Misalignment AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents Latent Goal Prediction from Language for Model-Based Planning Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Harnessing Agent Skills: Architectural Patterns and a Reference Architecture for Skill-Mediated LLM Agents SkillHarness: Harnessing Safe Skills for Computer-Use Agents RIZZ: Routing Interactions to Near Zero-Interference Zones for Continual Adaptation of Black-Box Agents An LLM-Explainable DRL Framework for Passenger-Directed Autonomous Driving MAGNIFIED: RL Fine-tuning of Multimodal Large Language Models for Motion Planning Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory Platooning Connected, Autonomous, and Human-Driven Vehicles: A Deep Reinforcement Learning-based Approach Input-schema identifiability limits in physics-informed surrogates for mechanics-governed flow A-Evolve-Training: Autonomous Post-Training of a 30B Model Expected Free Energy-based Planning as Variational Inference Skill Coverage: A Test Adequacy Metric for Agent Skills From Knowing to Acting: Benchmarking Self-Awareness Capability of LLM Agents DrugBench: Evaluating AI Control Protocols for Medication Harm Mitigation Robust Auto-associative Memory via Convolutional Restricted Hopfield Networks BELLS-O: Evaluating the Operational Trade-offs of LLM Supervision Systems Beyond Importance: Interchange-Sobol Sensitivity Reveals Task-Specific Content Channels in Transformer Components A UAV-Based Multi-Modal Vision System for Automated Sideslope Deformation Monitoring and Hazard Detection Open Annotations and Synthetic Data for Field Localisation in Indian Bank Cheques NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation Spatio-Temporal Wildfire Spread Prediction in Canada using a Video Swin-Hybrid-U-Net and Satellite Imagery BARD-MARL: Byzantine-Agent Detection for Learned Communication in Multi-Agent Reinforcement Learning Beyond Templates: Revisiting Zero-Shot Remote Sensing through Meta-Prompting A Generalized Formalism of Auto-Regressive Decoding for Speech Processing Multimodal Image Colorization: Quantifying the Impact of Text-Conditioned Guidance on Grayscale-to-Color Translation When Web Agents Finish but Still Fail: Reproducible Triggers and Trace Diagnostics for Parallel Web Exploration FPGA-Accelerated Neuromorphic Vision System for Real-Time Orbital Object Detection LLM-Guided Test-Time Discovery of Quantum-Chemical Approximation Algorithms Repeated Shared Access Enables Grokking, but Edit Propagation Depends on a Fine-Grained Addressable Memory VeriBound: PAC-Bayesian Generalization Bounds for Process Reward Models Trained with Formal Verification Tools A large-scale foundation model enables simulation-to-real adaptation for nuclear magnetic resonance-based molecular structure analysis One Image is All You Need: Agentic One-Shot Image Generation via Text-Based World Models for Long-Tail Spatial Perception Dataset-Aware Cold-Start Active Learning for Annotation-Efficient 3D Medical Image Segmentation FirstPass: Grounding AI Scientific Judgment in Multi-Round Editorial Outcomes Beyond 'One Language, One Script': Quantifying Orthographic Bias in Multilingual VLMs with PuMVR Fara-1.5: Scalable Learning Environments for Computer Use Agents Eigenspace-Based Clustering for Personalized System Identification What Shapes Emergent Misalignment? Insights from Training Dynamics, Model Priors, and Data Provably Sub-Linear Two-Timescale NeuroEvolution with Online Plasticity ReLaTS: a Reinforcement Learning-based method for dynamically determining the coupling Time Step in multi-scale simulations of self-gravitating systems Stochastic Signed Distance Processes SignVLA: Real-Time Sign Language-Guided Robotic Manipulation via Attention LSTM and Vision-Language-Action Models Betting on Moments: Legendre Jumper Martingales for Online Exchangeability Testing Synthetic Network Packet Generation through Statistical Learning and Genetic Algorithms Adversarial observations in probabilistic State-Space Models for robust Reinforcement Learning Go-with-the-Track: Video Compositing and Motion Control with Point Tracking PROTON: Prototype-Based Test-Time Online OOD Detection for Medical VLMs Equilibrium with Internal Transfers Inductive Generalization for Robotic Manipulation The Metanym Game: A Self-Contained, Self-Consistent LLM Peer-Community Benchmark for Structural Intelligence Agentic Time Machine as an Infrastructure for Future-Event Forecasting LK Jam: System Architecture and Implementation of a Real-Time Human-AI Interactive Music Generation System using Role-Aware GRU Negative Knowledge as Failure-aware Shared Memory for AutoResearch Diffusion-Driven State Space Models OVIG: Optimistic Verification of AI Training Integrity via Gradient Signals FiLM-Coordinated Dual-Branch Transformer for Global-Local Dependency Modeling in Language Modeling Bayesian Model Averaging under Predictor Redundancy via Density-Ratio Posterior Compression Coherence Under Commitment: Probing Generalization and Vacuous Memorization in LLM Logical Reasoning Self-Improvement Can Self-Regress: The Rise-and-Collapse Failure Mode of LLM Self-Training GRAG: Generic Response-Augmented Generation Framework for Personalized Conversational Systems Object-Centric Dataset Resources for Constrained-Data Image Generation and Augmentation PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity Two Layers of Instability in Causal Estimation Extraction and Analysis of Multimodal Concepts in Vision Language Models through Sparse Autoencoders Orthogonal Discrepancy Kernels for Learning with Partial Physics Real-time pedestrian attribute recognition with YOLOv8 and ResNet18 Recency/Frequency Adaptive KV Caching for Large Language Model Serving Subsampling for supervised learning in reproducing kernel Hilbert spaces Sea-Scan: High-Accuracy, ML-based Dark Vessel Detection and Localisation via Weakly Supervised DAS Monitoring Direct Raw Audio Signal Processing via Reservoir Computing: An Investigation into 'Feature-Free' Architectures Mind the Noise: Sensitivity of Transformer-based Interaction-Aware Trajectory Prediction Models to Noisy Data Graph-of-Differences: Anatomy-Structured Difference Alignment for Medical Image Re-Identification NAC: Neural Action Codec for Vision-Language-Action Models CAT-Translate: Building Compact Open-Source Models for Japanese-English Translation Central limit theorem for the averaged Adam optimizer Native space based pipelines outperform template space based pipeline in subcortical segmentation ASCII Art Turns LLMs into VLA Controllers Decoupling the Declarative from the Procedural in Vision-Language-Action Models Balancing Performance and Diversity in GRPO Autoregressive Text-to-Image Post-Training Accelerated and Stable Convergence with Anchored Optimistic Method Compressing Observation History into Agent Memory: Distilling Transformers into Recurrent Transformers Radial Basis Function Networks as Projection Heads in Self-Supervised Learning The Alignment Problem in Constrained Code Generation Evaluating Document-Tuned Transformer Representations for Person-level Mental Health Assessment Counsel: A Meta-Evaluation Dataset for Agentic Tasks CuratorKIT : Data Curation and Synthetic Data Generation for LLM Post-Training Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Improving Text-to-Music Generation with Human Preference Rewards Imitation from Heterogeneous Demonstrations using Grounded Latent-Action World Models Finite-Sample Performance of Gradient Descent in Logistic Regression with Gaussian Design A Hybrid, Multi-Layered Pipeline for Phishing and Threat Classification: Independently Validated URL and NLP Engines with a Calibrated Multi-Channel Fusion Stage ARCO-Mars: A Unified Cloud-Optimized Archive of Mars Atmosphere Reanalysis BatchGen: An Architecture for Scalable and Efficient Batch Inference Leveraging LaBSE with Progressive Curriculum Learning for Multicultural Polarization Physics-Informed Neural Networks for Computing the Morse Index of the Critical Catenoid Physics-Preserving Latent Compression for Zero-Shot Resolution Transfer in 3D Turbulence Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network Steer, Don't Solve: Training Small Critic Models for Large Code Agents Spectrally Safe Neural Operator Warm-Starts for Large-Scale Newton Solvers Beyond Flat Labels: Level-Restricted Contrastive Learning for Hierarchical Fine-Grained Vision Classification Signed Evidence Flow: Conflict-Aware and Stability-Calibrated Data Analysis Prediction of Solar Flares Using Photospheric Magnetic Field Parameters with Deep Learning Continuous Behavioral Authentication via Multi-Expert BERT Log Analysis for Secure Data Sharing The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders Pre-Generation Hallucination Detection in Large Language Models via Soft-Target Attention Probing IRumAI: Reinforcement Learning for Indian Rummy Can LLMs Control Readability? A Multi-Dimensional Evaluation Framework for CEFR-Controlled Arabic Generation CFAgentBench: A Reproducible Environment and Benchmark for Autonomous Construction-Finance Agents One-Shot Data Selection for Medical Image Classification via Graph Coverage What Do Neural Networks Learn for TDOA Estimation? A Cross-Architecture Probing Study Nous: A Predictive World Model for Long-Term Agent Memory When Does a Video-Language Model Stop Watching? Reward Strength Controls the Formation and Reversal of Visual Shortcuts in Multimodal RLVR Anticipating the Optimism Gap: Predicting Distribution-Shift Degradation of RF-Impairment Detectors from In-Distribution Statistics How Should a Simulation-to-Reality Transfer Budget Be Spent? Where Does the Signal Live? A Web Data Recipe for Medical Encoder Pretraining Patched Flow Matching: Generative Wall-Pressure Reconstruction Beyond Training-Domain Scales from Sparse Sensors Can Reasoning Models Detect Changes to their Chains of Thought? Reinforcement Learning-Based Traffic Signal Control for IoT-Enabled Intersections Accurate identification and measurement of the precipitate area by two-stage deep neural networks in novel chromium-based alloys BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language Physics-Informed Eikonal Caging for Whole-Arm Manipulation Planning Deep RL for Fast Long-Horizon Operations Scheduling on NASA's Carruthers Geocorona Observatory Mission Rebuttals Move Peer-Review Scores, but Initial-Review Structure Bounds the Movement How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism An Analysis of Untrained Deep Reservoir Networks for Audio Surveillance MultiMem: Measuring and Mitigating Memorization in Multi-Modal Contrastive Learninga Variance-Tilted Diffusion Models for Diverse Sampling Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Evaluating Large Language Models for Hausa and Fongbe Machine Translation: Benchmarks, Failures, and Metric Reliability From Speech to Text Corpora: Evaluating ASR-Based Data Acquisition for Low-Resource Fongbe and Hausa Active Sensing and Deferred-Decision Trajectory Optimization for Robust Target Identification Any-Body Guard: Universal Safeguarding for Manipulation Policies via Action Masking Specificity- and Calibration-Aware Breast Ultrasound Segmentation via Entropy-Guided Boundary Supervision Adam Converges in Nonsmooth Nonconvex Optimization No Reference-Free Generalization in Quantum Machine Learning Towards Whole Hand and Wrist Kinematic Tracking with a Wearable A-Mode Ultrasound Probe Null-Calibrated Conformal Selection via Target-Membership Scores Benchmarking Robot Memory Under Interference Flow Annealing Posterior Sampling for Function-Space Regression and Inverse Problems ORBIT: Training-Free Multi-Attribute Behavioral Steering via Orthogonal Subspace Rotation Reference-Free Assessment of Physical Consistency in World Model-based Video Generation Kiwano: A Cutting-Edge Open-Source Toolkit for Speaker Verification Structured Hyperedge Adaptation for Parameter-Efficient Fine-Tuning of Vision Transformers Multi-cancer detection using a computationally efficient CNN with transfer learning Reinforcement learning to improve large language model-based automated code compliance systems Words as Difference Makers: How Large Language Models Determine Causal Structure in Text A Differentiable Atari VCS:A Complex, Fully Known Ground Truth for Explainable AI Music Playlist Captioning at Scale with Large Language Models Interleaved Speech Language Models Latently Work In Text All Green, Still Broken: Real-Flow Verification Lessons from an LLM-Integrated, Multi-Market Web Application Deep Learning-Based Sign Language Recognition from Videos and Cross-Lingual Translation to Indian Vernaculars Enabling Cloud-Level Accuracy in Edge AI through IoT Data Preprocessing Detecting and Understanding Vulnerabilities in Fully Homomorphic Encryption Frameworks Robust Diffusion Models via Divergence-Induced Weighted Denoising Deep material network for homogenization of piezoelectric composites Scalable Bayesian Additive Models for Stellar Flare Detection via Amortized Gaussian Process Inference and Hidden Markov Models Sub-Billion, Super-Frontier: Small Language Models Rival Zero-Shot Frontier LLMs on General and Literary Relation Extraction Learning Entropy Signature for Image Representation and Classification Statistical Inference for Misspecified Contextual Bandits RAVEN: Agentic RAG for Automated Vulnerability Repair MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring Confidently Wrong: Severity-Aware Calibration of Prompt-Injection Detectors under Attack Shift From Complaint Narratives to Monetary Relief: A Hybrid Machine Learning Framework for CFPB Consumer Complaints Data Evolution by Wittgenstein's Rule Following The Geometry of Refusal: Linear Instability in Safety-Aligned LLMs GARIP: A Running-Average Moving Reference for Last-Iterate Self-Play in Two-Player Zero-Sum Games Evolutionary Optimization Reveals Structural Constraints on Reservoir Architecture for Spatiotemporal Chaos Target-Aware Linear Regression Under Distribution Shift Learning-Augmented Algorithms for Online Vertex Cover IndicGuard: A Multilingual Safety Guard Model and Dataset for Indic Languages Chains That See, Answers That Don't: A Multi-Aspect Evaluation Recipe for Forced Chain-of-Thought on Video-MME Tensor Train Decomposition-based 3D Implicit Full Waveform Inversion with Multi-scale Structural Similarity ThermoLLM: Thermodynamics-Aware HVAC Control with Spatial-Semantic Knowledge Graph CITADEL: CSI-Based Jamming Detection and Open-Set Classification for IIoT Networks Domain-incremental audio classification using domain-specific experts and prototype classifier Scalable Physics-Inspired Transformers for Spin Glasses Subject-Level Unknown-Identity Identification from Leap Motion Controller 2 Hand Landmarks Generalized nonparametric regression in reproducing kernel Hilbert spaces: Consistency and rates of convergence From Point Estimates to Distributions: GMM Pooling for MIL in Preterm Birth Prediction Domain Adaptation Under Wireless Network Constraints: When Does It Become Green? Who Owns the AI Recommendation? A Multi-Industry Empirical Map of Brand Category Ownership Across Large Language Models LOLLA: Deep Reinforcement Learning for Closed-Loop Link Adaptation Towards a GPU-Accelerated AI-RAN Spectral Gating via Damped Oscillations for Adaptive Implicit Neural Representations LLM-Aided A* Search in Non-Geometric Network Graphs Neural Parameter Calibration for Finite-State Mean Field Games Incremental Learning in Mirror Flows Attention mechanism for scalable mesh-based neural surrogates of free-surface fluids Transfer learning-based method for automated ewaste recycling in smart cities The Anatomy of the CTC Oracle Gap: Acoustic Exhaustion and Linguistic Recovery Ultra-Peripheral Collisions as a Nuclear-Structure Interferometer with Interpretable Multitask Deep Learning Changing Modalities: Adapting Remote Sensing Models to New Satellites and Sensors FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource Isolation Quantum Convolutional Neural Networks for Groundwater Heat Plume Prediction: A Surrogate Modeling Approach Rethinking Object-Centric Representations for Video Dynamics Modeling SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors Time Series Classification through Diffeomorphic Time Warping (DiffTW) Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions Development and Design of FLKit: A Structured Onboarding Toolkit for Federated Learning in Health and Life Sciences FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data Concordia: JIT-Compiled Persistent-Kernel Checkpointing for Fault-Tolerant LLM Inference SQLConductor: Search-to-Policy Learning for Step-wise Text-to-SQL Orchestration VeriEvol: Scaling Multimodal Mathematical Reasoning via Verifiable Evol-Instruct SuperCond-GNN: Scalable Graph Neural Network Surrogate for Superconducting Circuit Simulations Approximating velocity fields with planted attractors via Neural-ODEs for classification purposes Neural Networks as Linear Regression: An Introduction for Statisticians Causal Discovery in the Era of Agents Data Selection Through Iterative Self-Filtering for Vision-Language Settings Hedgementation = Hedgerow Segmentation: A Remote Sensing Benchmark RECALL: Recovery Experience Collection for Active Lifelong Learning in Vision-Language-Action Models Diffusion Models Adapt to Low-Dimensional Structure Under Flexible Coefficient Choices Action-BED: Task-Driven Bayesian Experimental Design with Singly Intractable Objectives PsyBridge: A Hybrid Intelligent Framework for Multi-Dimensional Mental Health Assessment and Decision Support Semantic Browsing: Controllable Diversity for Image Generation CoorDex: Coordinating Body and Hand Priors for Continuous Dexterous Humanoid Loco-Manipulation AutoDex: An Automated Real-World System for Dexterous Grasping Data Collection XConv: Low-memory stochastic backpropagation for convolutional layers Parametrized Power-Iteration Clustering for Directed Graphs Detection and Evaluation of Clusters within Sequential Data Provable Filter for Real-world Graph Clustering Measuring Model-Induced Discrimination via Efficient Fairness Approximation A Generalization Bound for Nearly-Linear Networks A polarity-aware multi-relational model for the signed interaction prediction in biological networks Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis Revealing the Pitfalls and Re-Evaluating the Advancement of Heterophilic Graph Learning LAYUP: Asynchronous decentralized gradient descent with LAYer-wise UPdates Aligning AI-driven discovery with human intuition CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching Convergence Rate Analysis of LION Enhancing Symbolic Regression and Universal Physics-Informed Neural Networks with Dimensional Analysis Learning Expressive Random Feature Models via Parametrized Activations Is Oracle Pruning the True Oracle? Generating Rectifiable Measures through Neural Networks Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection HEM: a margin-based loss for visual categorisation tasks From Markov to Laplace: How Mamba In-Context Learns Markov Chains Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks ACTIVA: Amortized Causal Effect Estimation via Transformer-based Variational Autoencoder FairSAM: Fair Classification on Corrupted Image Data Through Sharpness-Aware Minimization Efficient Reinforcement Finetuning via Adaptive Curriculum Learning Gaussian process policy iteration with additive Schwarz acceleration for forward and inverse HJB and mean field game problems Causally Fair Node Classification on Non-IID Graph Data Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Hierarchical Adversarial Bandits for Online Configuration Optimization Double-Diffusion: Balancing Speed, Accuracy, and Uncertainty in Probabilistic Forecasting for Urban Sensor Networks Structure-Aware Compound-Protein Affinity Prediction via Graph Neural Networks with Group Lasso Regularization Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings DPO Unchained: Your Training Algorithm is Secretly Disentangled in Human Choice Theory (and its Loss' Convexity is Dispensable) FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting The Ratchet Effect in Silico: How Interaction Drives Cumulative Intelligence in Large Language Models VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training Let's Measure Information Step-by-Step: AI-Based Evaluation Beyond Vibes FAIRVAR: Fair Federated Learning via Variance Regularization L-SR1: Learned Symmetric-Rank-One Preconditioning Energy Injection Identification enabled Disaggregation with Deep Multi-Task Learning Turning Tabular Foundation Models into Graph Foundation Models Lane Change Intention Prediction of two distinct Populations using a Transformer Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication GraphPFN: A Prior-Data Fitted Graph Foundation Model Task-Agnostic Federated Continual Learning via Replay-Free Gradient Projection OFMU: Optimization-Driven Framework for Machine Unlearning Explore-Execute Chain: Towards an Efficient Structured Reasoning Paradigm On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs Gradual Capacity Growth for Sparse Network Discovery VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation Black-Box Detection of LLM-Generated Text Using Generalized Jensen-Shannon Divergence CHUCKLE -- When Humans Teach AI To Learn Emotions The Easy Way Don't Tell the Answer, Truly Guide the Reasoning During RL Rollouts Interpretable Machine Learning for Predicting Startup Funding, Patenting, and Exits Learning Bug Context for PyTorch-to-JAX Translation with LLMs Discrete State Diffusion Models: A Sample Complexity Perspective CQD-SHAP: Explainable Complex Query Answering via Shapley Values Strengthening LLMs for Tabular Prediction with Structural Priors The Optimization Landscape of Carath\'eodory Decomposition of Toeplitz Covariances Revisiting the Neural Tangent Kernel: the role of large width and depth Decision-Focused Continual Learning for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks MedFedPure: A Medical Federated Framework with MAE-based Detection and Diffusion Purification for Inference-Time Attacks DUPLE: An Intelligent Cross-Deployment Recognition Framework for Fiber-Optic Perimeter Security under Scarce Target Labels QuantKAN: A Unified Quantization Framework for Kolmogorov Arnold Networks Training Diffusion Policies via Prior-Mapping Co-Evolution GeoTransolver: Learning Physics on Irregular Domains Using Multi-scale Geometry Aware Physics Attention Transformer ATLAS: Verifier-Guided Adaptive Latent Activation Steering for Efficient LLM Reasoning DP-FedSOFIM: Differentially Private Federated Stochastic Optimization using Regularized Fisher Information Matrix Hierarchical Sparse Circuit Extraction from Billion-Parameter Language Models through Scalable Attribution Graph Decomposition NewPINNs: Physics-Informing Neural Networks Using Conventional Solvers for Partial Differential Equations Provable Learning of Random Hierarchy Models and Hierarchical Shallow-to-Deep Chaining Spark: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning Rate-Distortion Optimization for Transformer Inference Boosting CVaR Policy Optimization with Quantile Gradients Temporal Graph Pattern Machine Stabilizing Consistency Training: A Flow Map Analysis and Self-Distillation Improved Algorithms for Nash Welfare in Linear Bandits OGD4All: A Framework for Accessible Interaction with Geospatial Open Government Data Based on Large Language Models Active Causal Experimentalist (ACE): Learning Intervention Strategies via Direct Preference Optimization Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL Robust Representation Learning in Masked Autoencoders Efficient Training of Boltzmann Generators Using Off-Policy Log-Dispersion Regularization Disentangling Intrinsic Importance from Emergent Structure in Multi-Expert Orchestration Gradient Flow Through Diagram Expansions: Learning Regimes and Explicit Solutions The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity Next-Gen CAPTCHAs: Leveraging the Cognitive Gap for Scalable and Diverse GUI-Agent Defense Learning with Multiple Correct Answers -- Regret Bounds under Different Feedback Models Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance A Jointly Efficient and Optimal Algorithm for Heteroskedastic Generalized Linear Bandits with Adversarial Corruptions Using predictive multiplicity to measure individual performance within the AI Act Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis MAVRL: Learning Reward Functions from Multiple Feedback Types with Amortized Variational Inference Generative Modeling via Kernelized Stochastic Interpolants Model Merging in the Essential Subspace Compress the Easy, Explore the Hard: Difficulty-Aware Entropy Regularization for Efficient LLM Reasoning Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study NNiT: Width-Agnostic Neural Network Generation with Structurally Aligned Weight Spaces GAC: Stabilizing Asynchronous RL Training for LLMs via Gradient Alignment Control Probabilistic Retrofitting of Learned Simulators mlx-vis: GPU-Native Dimensionality Reduction on Apple Silicon Jacobian-Adaptive Weighting for Stability: Enhancing Long-term Rollout of Neural Partial Differential Equation Solvers via Spatially-Adaptive Regularization Combinatorial Allocation Bandits with Nonlinear Arm Utility Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions via Proper Scoring Rules Deep Generative Transformers for Probabilistic Time Series and Spatiotemporal Forecasting A Robust Framework for Secure Cardiovascular Risk Prediction: An Architectural Case Study of Differentially Private Federated Learning Localizing and Editing Knowledge in Large Audio-Language Models Achieving $\widetilde{O}(1/\epsilon)$ Sample Complexity for Bilinear Systems Identification under Bounded Noises Non-Adversarial Imitation Learning Provably Free of Compounding Errors: The Value Flow Mechanism In-Context Molecular Property Prediction with LLMs: A Blinding Study on Memorization and Knowledge Conflicts Can AI Detect Life? Lessons from Artificial Life FSEVAL: Feature Selection Evaluation Toolbox and Dashboard Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls Sink-Token-Aware Pruning for Fine-Grained Video Understanding in Efficient Video LLMs A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws Optimal Spatio-Temporal Decoupling for Bayesian Conformal Prediction Local Hessian Spectral Filtering for Robust Intrinsic Dimension Estimation Enhancing RL Generalizability in Robotics through SHAP Analysis of Algorithms and Hyperparameters GraphSVR: A Graph Convolutional Support Vector Regression Framework for Robust Spatiotemporal Air Pollution Forecasting Simultaneous CNN Approximation on Manifolds with Applications to Boundary Value Problems Data-dependent Exploration for Online Reinforcement Learning from Human Feedback Unified Framework of Distributional Regret in Multi-Armed Bandits and Reinforcement Learning PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization Approximation Error Upper and Lower Bounds for H\"{o}lder Class with Transformers Sequential Feature Selection for Efficient Landslide Segmentation from Multi-Spectral Data TMPO: Trajectory Matching Policy Optimization for Diverse and Efficient Diffusion Alignment Decision Tree Learning on Product Spaces Q-Flow: Stable and Expressive Reinforcement Learning with Flow-Based Policy Universal Approximation of Nonlinear Operators and Their Derivatives Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift Dimension-Free Convergence of Discrete Diffusion Models: Adjoint Equations Induce the Right Space TriOpt: A Scalable Algorithm for Linear Causal Discovery LionMuon: Alternating Spectral and Sign Descent for Efficient Training Embedding-Based Federated Learning with Runtime Governance for Iron Deficiency Prediction Worse than Random: The Importance of a Baseline for Unsupervised Feature Selection Infra-Bayesian Reinforcement Learning Agents Outperform Classical RL For Worst-Case Robustness GEESE: Genotype-aware End-to-End Spatio-temporal Embedding for Behavioral Phenotyping Neuronal Stochastic Attention Circuit (NSAC) for Probabilistic Representation Learning FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis Latent Diffusion for Missing Data FlagGAM: Rule-Basis Generalized Additive Models for Explainable Tabular Prediction Estimating Mutual Information between Time Series and Temporal Event Sequences Across Diverse Analysis Tasks Learning While Acting: A Skill-Enhanced Test-Time Co-Evolution Framework for Online Lifelong Learning Agents Toward Multi-Domain and Long-Tailed Quantization via Feature Alignment and Scaling PJ-RoPE: A Fourier-Jet-Affine Position Space for Relative Attention OPRD: On-Policy Representation Distillation Beyond Linear and Overcomplete Regimes: A Mean-Field Analysis of Bottleneck Autoencoders Video-Based Prediction of In-Flight Particle Characteristics in Atmospheric Plasma Spraying Minibatch Selection for Language Models via Partition Matroid Constrained Gradient Matching Few-step Cofolding with All-Atom Flow Maps INFUSER: Influence-Guided Self-Evolution Improves Reasoning UPLOTS: A Unified Pretrained Language Model for Constrained Time-series Generation Bellman-sufficient Information Complexity A Riemannian Approach to Low-Rank Optimal Transport PolicyGuard: Towards Test-time and Step-level Adversary (Backdoor) Defense for Reinforcement Learning Agent Circuit Synchronization Precedes Generalization: A Causal Precursor to Grokking scLLM-DSC: LLM-Knowledge Enhanced Cross-Modal Deep Structural Clustering for Single-Cell RNA Sequencing Certified World Models: Predictability Across Configuration, Horizon, and Resolution Simplex-Constrained Sparse Bagging: Transitioning from Uniform Priors to Sparse Posteriors in Ensemble Learning Small LLMs: Pruning vs. Training from Scratch Zero-order Parameter-free Optimization for LMO-based Methods: Novel Approach for Efficient Fine-tuning Beyond Accuracy: Measuring Bias Acknowledgment in Chain-of-Thought Reasoning for Responsible AI Evaluation Surprise-Guided MergeSort: Budget-Efficient Human-in-the-Loop Ranking via Adaptive Comparison Scheduling The Reservoir Attention Network: Cross-Pass State in Pretrained Transformers via Content-Addressable Reservoir Injection Do Activation Monitors Survive Model Updates? Benchmarking, Predicting, and Repairing Activation-Monitor Staleness When Confidence Lacks Concepts: Interpretable OOD Detection via Representation Perturbations Calibrated Sampling-Free Uncertainty Estimation in Bayesian Deep Learning Demystifying Training-Time Augmentation for Data-Constrained Language Model Pretraining Integrated Marketing Attribution: A Bayesian Framework for Privacy-Safe Granular Measurement Anchored in MMM ASTRA: A Scalable Next-Generation ATCO Training Simulator with Autonomous Simpilots SFT Overtraining Predicts Rank Inversion via Entropy Collapse Under RLVR PACT: Preserving Anchored Cores in Task-vectors for Model Merging Stealthy World Model Manipulation via Data Poisoning RouteJudge: An Open Platform for Reproducible and Preference-Aware LLM Routing FoMoE: Breaking the Full-Replica Barrier with a Federation of MoEs Seeing Before Reasoning: Decoupling Perception and Reasoning for Shortcut-Resilient Multimodal On-Policy Self-Distillation Essential Subspace Merging for Multi-Task Learning UBP2: Uncertainty-Balanced Preference Planning for Efficient Preference-based Reinforcement Learning Hard or Just Unreached? Diagnosing the Sampling Blind Spot in Math-Reasoning Difficulty Estimation Adversarial Bandit Optimization with Globally Bounded Perturbations to Convex Losses Kolmogorov-Arnold Reservoir Computing When Calibration Fails the Vulnerable Hospital: Federated Conformal Risk Control via Risk-Curve Shrinkage Quantum-classical physics-informed Kolmogorov-Arnold networks for PDEs CRAX: Fast Safe Reinforcement Learning Benchmarking UltraQuant: 4-bit KV Caching for Context-Heavy Agents Deep Learning for Individual Heterogeneity Nonconvex-Nonconcave Min-Max Optimization with a Small Maximization Domain Explanations for Automatic Speech Recognition Transcribing Bengali Text with Regional Dialects to IPA using District Guided Tokens Influencer Cartels Reinforcement Learning to Disentangle Multiqubit Quantum States from Partial Observations ARVO: Atlas of Reproducible Vulnerabilities for Open-Source Software Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep Probabilistic Analysis of Least Squares, Orthogonal Projection, and QR Factorization Algorithms Subject to Gaussian Noise Local Flow Matching Generative Models Multi-Depth Concept Extraction for Post-Hoc Vision Encoder Explanation Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI Multi-Year-to-Decadal Temperature Prediction using a Machine Learning Model-Analog Framework O-RAN Xapps Conflict Prediction Using Graph Convolutional Networks Intent-Handover: Grounding Language in Human-Usage Regions for Trustworthy Robot-to-Human Handovers Numerical stability analysis of large language models On Quantum Perceptron Learning via Quantum Search Explainable Boosting Machine for Predicting Claim Severity and Frequency in Car Insurance DataMIL: Selecting Data for Robot Imitation Learning with Datamodels Brain-Inspired Stochastic Joint Embedding Representation Learning Towards Adaptive Categories: Dimensional Governance for Agentic AI Learning thermodynamic master equations for open quantum systems Learned Controllers for Agile Quadrotors in Pursuit-Evasion Games AgentMisalignment: Measuring the Propensity for Misaligned Behaviour in LLM-Based Agents TIP-Search: Time-Predictable Inference Scheduling for Market Prediction under Uncertain Load Measuring Intent Comprehension in LLMs The Trilemma of Truth in Large Language Models A statistical physics framework for optimal learning Associative Memory for Non-Stationary Environments: A Self-Sizing Generalization of Hopfield Networks Robust and Differentially Private Principal Component Analysis Conformal and kNN Predictive Uncertainty Quantification Algorithms in Metric Spaces High-Dimensional Differentially Private Quantile Regression: Distributed Estimation and Statistical Inference Random Walk Learning and the Pac-Man Attack UniFFBench: Evaluating Universal Machine Learning Force Fields Against Experimental Measurements Flow Matching for Efficient and Scalable Data Assimilation HEAS: Hierarchical Evolutionary Agent-Based Simulation Framework for Multi-Objective Policy Search Frequency Response Identification of Low-Order Systems: Finite-Sample Analysis An Effective Strategy for Modeling Score Ordinality and Non-uniform Intervals in Automated Speaking Assessment The Efficiency Frontier: Classical Shadows versus Direct Quantum Measurement Circuit realization and hardware linearization of monotone operator equilibrium networks CrediBench: Building Web-Scale Network Datasets for Information Integrity LUQ: Layerwise Ultra-Low Bit Quantization for Multimodal Large Language Models Spatially Grounded Concept-Based Image Classification Inverse Problem for Partial Differential Equations with Jump Discontinuities in Coefficients by Two-stage Physics-Informed Deep Learning and Statistical Mixture Models Model Inversion meets Cryptographic Fuzzy Extractors Adam symmetry theorem: characterization of the convergence of the stochastic Adam optimizer Non-Euclidean SGD for Structured Optimization: Unified Analysis and Improved Rates Tell Me: An LLM-powered Mental Well-being Assistant with RAG, Synthetic Dialogue Generation, and Agentic Planning DHAuDS: A Dynamic and Heterogeneous Audio Benchmark for Test-Time Adaptation Test-Time Alignment of Text-to-Image Diffusion Models via Null-Text Embedding Optimisation Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing Interpretable machine learning of halo gas density profiles: a sensitivity analysis of cosmological hydrodynamical simulations Ky Fan Norms and Beyond: Dual Norms and Combinations for Matrix Optimization From Zipf's Law to Neural Scaling through Heaps' Law and Hilberg's Hypothesis Exact and Approximate Range Queries for Efficient Ball Mapper Construction ECGFlowCMR: Pretraining with ECG-Generated Cine CMR Helps Cardiac Disease Classification and Phenotype Prediction Toward Non-Expert Customized Congestion Control: Large Language Model-Assisted CCA Code Generation with eBPF Deployment Ultrafast On-Chip Online Learning via Spline Locality in Kolmogorov-Arnold Networks Conditional Flow Matching for Visually-Guided Acoustic Highlighting Fair Transit Stop Placement: A Clustering Perspective and Beyond Reciprocal Latent Fields for Precomputed Sound Propagation Enhancing IMU-Based Online Handwriting Recognition via Contrastive Learning with Zero Inference Overhead From Noise to Order: Learning to Rank via Denoising Diffusion Confidence-Uncertainty Boundary Calibration for Bayesian Deep Learning in Medical Image Analysis A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction AD-Bench: A Real-World, Trajectory-Aware Advertising Analytics Benchmark for LLM Agents Universal priors: solving empirical Bayes via Bayesian inference and pretraining DistributedEstimator: Distributed Training of Quantum Neural Networks via Circuit Cutting Fine-Grained Uncertainty Quantification for Long-Form Language Model Outputs: A Comparative Study EPSVec: Efficient and Private Synthetic Data Generation via Dataset Vectors Conditional neural control variates for variance reduction in Bayesian inverse problems Fairness under Graph Uncertainty: Achieving Interventional Fairness with Partially Known Causal Graphs over Clusters of Variables Combinatorial Sparse PCA Beyond the Spiked Identity Model Good-Enough LLM Obfuscation (GELO) An intuitive rearranging of the Yates covariance decomposition for probabilistic verification of forecasts with the Brier score Two-Bridge: Exclusive Objectives and Extended Horizon StarCraft II Benchmark StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models A Lightweight MPC Bidding Framework for Brand Auction Ads CLoE: Expert Consistency Learning for Robust Missing Modality Segmentation Design-MLLM: A Reinforcement Alignment Framework for Verifiable and Aesthetic Interior Design WarPGNN: A Parametric Thermal Warpage Analysis Framework with Physics-aware Graph Neural Network Revisiting OmniAnomaly for Anomaly Detection: performance metrics and comparison with PCA-based models AI Agents Can Already Autonomously Perform Experimental High Energy Physics CogFormer: Learn All Your Models Once TaigiSpeech: A Low-Resource Real-World Speech Intent Dataset and Preliminary Results with Scalable Data Mining In-the-Wild A Latent Representation Learning Framework for Hyperspectral Image Emulation in Remote Sensing Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks Reciprocal Co-Training (RCT): Coupling Gradient-Based and Non-Differentiable Models via Reinforcement Learning Complex normalizing flows can almost be information K\"ahler-Ricci flows Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis SAGA: Workflow-Atomic Scheduling for AI Agent Inference on GPU Clusters When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems InfiltrNet: Dual-Branch CNN-Transformer Architecture for Brain Tumor Infiltration Risk Prediction Defense effectiveness across architectural layers: a mechanistic evaluation of persistent memory attacks on stateful LLM agents Structured Recurrent Mixers for Massively Parallelized Sequence Generation EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution MARGIN: Margin-Aware Regularized Geometry for Imbalanced Vulnerability Detection Backdoor Channels Hidden in Latent Space: Cryptographic Undetectability in Modern Neural Networks On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers Tail Annealing for Heavy-Tailed Flow Matching Minimax Limits of k-Fold Cross-Validation via Majority Sampling Triangulations and Calabi-Yau Threefolds with Autoregressive GNNs Implicit Identity Technologies for LLMs: Fingerprinting and Watermarking across Datasets, Models, and Generated Content Audio Deepfake Detection with Half-Truth Localisation Using Cross-Attentive Feature Fusion SAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMs Samudra 2: Scaling Ocean Emulators across Resolutions DriftSched: Adaptive QoS-Aware Scheduling under Runtime Token Drift for Multi-Tenant GPU Inference The Score Hamiltonian: Mapping Diffusion Models to Adiabatic Transport Chiaroscuro Attention: Spending Compute in the Dark What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks Convergence Rates for Neural-Network Estimation with Current-Status Data Low-variance estimators overcome the phase-gradient bottleneck in complex-valued neural quantum states GitOfThoughts: Version-Controlled Reasoning and Agent Memory You Can Replay, Diff, and Merge On the Memorization Behavior of LLMs in Generative Recommendation: Observations, Implications, and Training Strategies ARVO: Atlas of Reproducible Vulnerabilities for Open-Source Software Vision-language models for chest radiography do not always need the image Fast Nonparametric Conditional Independence Testing via Two-Stage Regression CAOA -- Completion-Assisted Object-CAD Alignment Kernel of Partition Paths: A Unified Representation for Tree Ensembles ClayBuddy: A Framework, Evaluation, & Mitigation of Coding Agent Failures ITNet: A Learnable Integral Transform That Subsumes Convolution, Attention, and Recurrence Token Factory: Efficiently Integrating Diverse Signals into Large Recommendation Models Closing the Calibration Gap in Semantic Caching Pose6DAug: Physically Plausible Multi-view Object Swapping for Robot Data Augmentation Scalable Training of Spatially Grounded 2D Vision-Language Models for Radiology Probe-and-Refine Tuning of Repository Guidance for Coding Agents Sovereign Execution Broker: Enforcing Certificate-Bound Authority in Agentic Control PlanesArxiv cs.AI
On the Identifiability of User Adaptation in Co-Adaptive Neural Interfaces Beyond Fixed Budgets: Characterizing the Inelasticity and Limitations of Tree-of-Thought Reasoning Strategies The New Associationism: Lessons from Deep Learning Specifying AI-SDLC Processes: A Protocol Language for Human-Agent Boundaries PEAR: Permutation-Equivariant Adaptive Routing Multi-Agent Debate Darwin Mobile Agent: A Roadmap for Self-Evolution Path-dependent program induction under resource constraints explains human sequence learning In LLM Reasoning, there is Irrationality on top of Value Misalignment AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents Latent Goal Prediction from Language for Model-Based Planning Human Decision-Making with AI Assistance under Correlated Features Harnessing Agent Skills: Architectural Patterns and a Reference Architecture for Skill-Mediated LLM Agents DEMM-Bench: A Cross-Regime Benchmark for Agent-Runtime Governance-Evidence Sufficiency SkillHarness: Harnessing Safe Skills for Computer-Use Agents Constituency Optimisation Through Hamiltonian Representation Of Mandates (COTHROM): Algorithmic Redistricting of Irish Election Boundaries RIZZ: Routing Interactions to Near Zero-Interference Zones for Continual Adaptation of Black-Box Agents An LLM-Explainable DRL Framework for Passenger-Directed Autonomous Driving Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory SPARC: A Multi-Agent System for Electrical Circuit Question Answering Bridging Multi-Valued Heuristics and Dimensionality Reduction in Multi-Objective Search Learning Splitting Heuristics for Parallel String Solvers A-Evolve-Training: Autonomous Post-Training of a 30B Model Expected Free Energy-based Planning as Variational Inference Skill Coverage: A Test Adequacy Metric for Agent Skills From Knowing to Acting: Benchmarking Self-Awareness Capability of LLM Agents Confidence Laundering in Agent Systems: Why Uncertainty Needs a Latent Carrier DrugBench: Evaluating AI Control Protocols for Medication Harm Mitigation A Quantum-Assisted Agentic Distributed Artificial Intelligence Framework for Deadline-Bounded Orchestration of Hybrid Renewable Microgrids Agent Behavior Mining: Generative AI Agent Governance in Business Processes Democratizing and accelerating AI-driven pathology research through agentic intelligence From Question Answering to Task Completion: A Survey on Agent System and Harness Design Artificial Intelligence as Monism: Ontological, Organisational, and Methodological Implications Simulated Customers Never Walk Away: Decision Fidelity of LLM User Simulators Measured Against Real Purchase Outcomes FairTutor: Equity-Aware Pedagogical LLM Routing for Budget-Constrained AI Tutoring Escape from Delusional Echo Trap: Symmetry Breaking, Stochastic Dynamics and Mathematical Mitigation Strategies for Algorithmic Sycophancy When Web Agents Finish but Still Fail: Reproducible Triggers and Trace Diagnostics for Parallel Web Exploration Repeated Shared Access Enables Grokking, but Edit Propagation Depends on a Fine-Grained Addressable Memory Fara-1.5: Scalable Learning Environments for Computer Use Agents What Shapes Emergent Misalignment? Insights from Training Dynamics, Model Priors, and Data Study on Quantitative Dynamic Epistemic Logic for Belief Revision Process-Reward Tactic Evolution for Long-Horizon Bioinformatics Workflows SignVLA: Real-Time Sign Language-Guided Robotic Manipulation via Attention LSTM and Vision-Language-Action Models When Do Intrinsic Rewards Work for Code Reasoning? A Comprehensive Study Neurosymbolic Clinical Trial Matching via LLM-Driven Abduction and Logical Verification Root Cause Analysis with Latent Confounders using Partial Ancestral Graphs Power Systems Agent Benchmark: Executable Evaluation of AI Agents in Electric Power Engineering Generative Responsible AI Data Evaluation Schema (GRAIDES) for AI Assurance in Local Government AutoACSL: Synthesizing ACSL Specifications by Integrating LLMs with CPG-Based Static Analysis How Should Agents Read Demonstrations? Hierarchical Structure Beats Flat Action Logs BioInsight: Multi-Agent Orchestration for Interactive Biomedical Knowledge Discovery Building Agent Harnesses for Scientific Curation from Multimodal Sources Closure of Self-Determining System Based on Causal and Constitutive Relations Agentic Time Machine as an Infrastructure for Future-Event Forecasting The AI Evaluability Gap: The Missing Layer for Managing Risk and Sustaining Value Negative Knowledge as Failure-aware Shared Memory for AutoResearch Coherence Under Commitment: Probing Generalization and Vacuous Memorization in LLM Logical Reasoning Repeated post-training is not Self-improving: Diagnosing Scientific Amnesia in Continual DPO Pipelines Self-Improvement Can Self-Regress: The Rise-and-Collapse Failure Mode of LLM Self-Training Answer Engineering: Local Trajectory Editing for Protocol-Constrained Decision Making in Large Language Models PulseCX: Breaking the Closed-World Assumption in Real-Time CX Learning Burst-Aware Early Warning Models for Capacity Stress under AI Workload Surges in Hyperscale Data Centers Trip+: Benchmarking Agents in Personalized Interactive Travel Planning Whistleblowing and the machine -- towards a considered position ARCO: Adaptive Rubric with Co-Evolution for Multi-Step LLM-Based Agents Towards Dys-XAI: Influence-Based Explanations for Dysarthria Severity Assessment Social World Model for Lifelong Social Intelligence Mind the Noise: Sensitivity of Transformer-based Interaction-Aware Trajectory Prediction Models to Noisy Data Calibration Is Not Control: Why LLM-Agent Oversight Needs Intervention Don't Blindly Trust It: How Unreliable Feedback Breaks Tool-Using LLM Agents AutoRAS: Learning Robust Agentic Systems with Primitive Representations Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data Balancing Performance and Diversity in GRPO Autoregressive Text-to-Image Post-Training AI Alignment From Social Choice Perspectives Composing Verifiable Conceptual Models via Building Blocks: Towards Design-Time Verification of Agentic AI Workflows Counsel: A Meta-Evaluation Dataset for Agentic Tasks ChainWorld: Composing Long-Horizon Desktop Workloads from Atomic OSWorld Tasks Hallucination as Context Drift: Synchronization Protocols for Multi-Agent LLM Systems Entropy Objectives in Markov Decision Processes Training the Orchestrator: A Supervised Approach to End-to-End PDDL Planning with LLM Agents AgentCAT: Simulating Computerized Adaptive Testing via Multi-Agent Large Language Models Measuring What Persists: Conditioning Mechanisms and a Geometric Framework for AI Agent Identity ForEx: A Formal Verification Framework for Explainable Reasoning in Logical Fallacy Detection and Annotation AgentRiskBOM: A Risk-Scoping Security Bill of Materials for Agentic AI Systems Learning the ARTS of Search for Automated Discovery Holmes: Multimodal Agentic Diagnosis for Mixed-Language Mobile Crashes at Industrial Scale REBA: A Revealed Belief Automaton Framework for Online Planning in Continuous POMDPs Human vs Machine Mathematical Difficulty on Project Euler: An Experimental Analysis IRumAI: Reinforcement Learning for Indian Rummy CFAgentBench: A Reproducible Environment and Benchmark for Autonomous Construction-Finance Agents Nous: A Predictive World Model for Long-Term Agent Memory Attractor Domain Theory: A Mathematical Framework for Cardiovascular Attractor Analysis with Wearable Photoplethysmography (PPG) Validation When Does a Video-Language Model Stop Watching? Reward Strength Controls the Formation and Reversal of Visual Shortcuts in Multimodal RLVR Can Reasoning Models Detect Changes to their Chains of Thought? Geometry-Aware Online Scheduling for LLM Serving: From Theoretical Bound to System Practice Hypothesis-Driven Skill Optimization for LLM Agents Reference-Free Assessment of Physical Consistency in World Model-based Video Generation ARIA: A Causal-Aware Framework for Rescuing LLM Reasoning in Trustworthy Materials Discovery MetaPS: Adaptive Programmatic Strategy Selection for Market Agents PlanBench-XL: Evaluating Long-Horizon Planning of LLM Tool-Use Agents in Large-Scale Tool Ecosystems Code Isn't Memory: A Structural Codebase Index Inside a Coding Agent SVGym (SciVerseGym): An Environment for Reinforcement Learning and Bayesian Optimization in Crystal Discovery Efficient Multimodal Clinical Question Answering for Pulmonary Embolism Risk Assessment A Differentiable Atari VCS:A Complex, Fully Known Ground Truth for Explainable AI Self-Evolving Cognitive Framework via Causal World Modeling for Embodied Scientific Intelligence PRIME: Evaluating Prompt Resolution Under Incompatible Instructions in LLMs VADAOrchestra: Neurosymbolic Orchestration of Adaptive Reasoning Workflows SCOPE: Evolving Symbolic World for Planning in Open-Ended Environments Deep Learning-Based Sign Language Recognition from Videos and Cross-Lingual Translation to Indian Vernaculars Grounded Scaling: Why Agentic AI Needs Deterministic Environments Imagine to Ensure Safety in Hierarchical Reinforcement Learning Governance Decay: How Context Compaction Silently Erases Safety Constraints in Long-Horizon LLM Agents MacAgentBench: Benchmarking AI Agents on Real-World macOS Desktop Text2DSL: LLM-Based Code Generation for Domain-Specific Languages PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement SkillAudit: From Fixed-Suite Benchmarking to Skill-Centered Assessment Confident but Conflicted: Internal Uncertainty and Cognitive Dissonance Resolution in LLMs AgentLens: Interpretable Safety Steering via Mechanistic Subspaces for Multi-Turn Coding Agent Skin-Deep: A Geometric Diagnostic for Alignment Fragility in Large Language Model Representations VISTA Architect: A graph database-oriented health AI system demonstrated in multidisciplinary tumor boards Safety-Aware Evaluation of LLM-Generated Driver Intervention Messages through Multi-Task Risk Fusion Beyond Penalizing Mistakes: Stabilizing Efficiency Training in Large Reasoning Models via Adaptive Correct-Only Rewards Text Dictates, Music Decorates: Energy-based Attention for Editable Dance Motion Generation Closed-loop Auto Research for Molecular Property Prediction: Discovering and Certifying Generalizable Improvements GroundEval: A Deterministic Replacement for LLM-as-Judge in Stateful Agent Evaluation Learning Filters with Certainty The Origins of Stochasticity: Comprehensive Investigations on Uncertainty Quantification for Large Language Models A Formula-Driven Survey and Research Agenda for On-Policy Distillation Measuring Behavior Portability in Large Language Models AI-Assisted Help-Seeking Trajectories in Programming Education from an SRL-Informed Perspective Active Inference as the Test-Time Scaling Law for Physical AI Agents MINCE: Shrinking LLM Evaluation Datasets via Few-Model Monte Carlo Calibration Finding the Evidence: Discovering Decision-Supporting Tokens for On-Policy Reasoning Distillation RaMem: Contextual Reinstatement for Long-term Agentic Memory AI Scientists as Engines of Discovery: A Case for Development within Reformed Institutions CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents Agent-as-a-Router: Agentic Model Routing for Coding Tasks ThermoLLM: Thermodynamics-Aware HVAC Control with Spatial-Semantic Knowledge Graph Intent-Governed Tool Authorization for AI Agents When Agents Commit Too Soon: Diagnosing Premature Commitment in LLM Agents ENVS: Environment-Native Verified Search for Long-Horizon GUI Agents Plans Don't Persist: Why Context Management Is Load Bearing for LLM Agents The Impact of VAE Design on Latent Pose Representations for Diffusion-based Sign Language Production When Preferences Fail to Become Incentives: A Utility-Behavior Gap in Large Language Models Joint Air Traffic Flow and Capacity Management via Answer Set Programming A Stackelberg Framework for Resource-Aware LLM Agents: Learning, Repair, and Conditional Guarantees From numerical proportions to analogical proportions between probabilities IPO Finance Agent: Evaluation of LLM Financial Analysts beyond Finance Agent v2, with Automated Rubric Generation -- the Case of the SpaceX (SPCX) IPO Some Results about the Expressivity of Preference-Incomplete Structured Argumentation Frameworks Cognitive Digital Twins: Ethical Risks and Governance for AI Systems That Model the Mind TTFT-Aware Graph Chain-of-Thought:Distance-Indexed Neural A* for Low-Hallucination Multi-Hop Medical Reasoning A Matter of Time: Towards a General Theory of Agency Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Decomposing Financial Market Dynamics via Mechanism Analysis in an Evolutionary Multi-Agent Simulation DART: Draft-Agreement Routing for Training-Free Adaptive Thinking Budgets in Hybrid Reasoning Models Capable but Careless: Do Computer-Use Agents Follow Contextual Integrity? SPADE: Structure-Prior Adaptive Decision Estimation HOLMES: Evaluating Higher-Order Logical Reasoning in LLMs GIF: Locally Sound Geometric Information Flow Control for LLMs EHR-Complex: Benchmarking Medical Agents for Complex Clinical Reasoning Abstract representational geometry supports inference in large language models Litmus: Zero-Label, Code-Driven Metric Specification for Evaluating AI Systems Digital Humanism and Evolutionary Design Cross-Architectural Mixture-of-Experts with Adaptive Soft Routing for Plant Leaf Disease Classification AOHP: An Open-Source OS-Level Agent Harness for Personalized, Efficient and Secure Interaction CADRE: Stable, Parameter Efficient Adaptation of Medical Vision Language Models with Bounded Forgetting and Prior Drift POTracker: Optimizing Large Language Models for Standard-Compliant Power Outage Report Generation VeriEvol: Scaling Multimodal Mathematical Reasoning via Verifiable Evol-Instruct The Topology of Ill-Posed Questions: Persistent Homology for Detection and Steering in LLMs SPIRAL: Learning to Search and Aggregate Against Proxy Optimization Causal Discovery in the Era of Agents AI-driven Optimisation of Quality of Recovery (QoR) in Remote Patient Monitoring AI Exposure Scores: what they measure, what they miss, and what comes next TailorMind: Towards Preference-Aligned Multimodal Content Generation Teaching LLMs String Matching, Backtracking, and Error Recovery to Deduce Bases and Truth Tables for the Combinatorially Exploding Bit Manipulation Puzzles PsyBridge: A Hybrid Intelligent Framework for Multi-Dimensional Mental Health Assessment and Decision Support Ratio Utility and Cost Analysis for Privacy Preserving Subspace Projection Automatic Vehicle Detection using DETR: A Transformer-Based Approach for Navigating Treacherous Roads Towards Reliable Audio Deepfake Attribution and Model Recognition: A Multi-Level Autoencoder-Based Framework Paraphrasing Attack Resilience of Various AI-Generated Text Detection Methods Ghost Vectors: Soft-Deleted Embeddings Remain Reconstructible in HNSW Vector Databases A Reproducible Semantic Benchmark for Multivendor DSM-to-CLI Translation AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure Infrastructure for the Agentic Web: Gap Analysis and Architecture from the Agentverse Platform Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices Investigating Linguistic Steering: An Analysis of Adjectival Effects Across Large Language Model Architectures LLM-assisted gNB Parameter Configuration for Radio Access Network Human-Less LLM Serving: Quantifying the Human Tax on Throughput Role-Based Agentic AI for Intent-Driven Network and Service Orchestration Physical-AI: From Channel Awareness to Environmental Intelligence in 6G Wireless Networks Turning Intent into Specifications: A Benchmark and an Interactive User-Assistant Agent Protocol-Aware Tokenization and Architecture Co-Design for Wireless Packet Foundation Models AInterviewer: A Platform for Designing and Conducting AI-led Qualitative Interviews AI Companions as Hyper Attachment and Caregiving Targets Optimization-as-a-Service via Multi-Agent Large Language Model for Radio Access Networks Delay-Adaptive Speculation Control for Low-Latency Edge-Cloud LLM Inference HAAS Studio: A Tool for Simulating, Benchmarking, and Governing Human-AI Work Allocation Using Biometrics to Understand AI-Assisted Coding Performance and its Perception Zhinong AI: A Design-Science Study of an AI-Enabled Agricultural Decision-Support Platform for Smallholder Production Trust in Generative AI for Health Information Consumption and the Effect of Learned Dependency: An Experimental Study Distributed Quantum Learning over Near-term Devices: Convergence Analysis and Security Design CourseBlueprint: A Structured Pipeline for Adaptive Pedagogical Video Generation Grounded in Course Corpora Understanding Privacy by Formalizing It Signals in the Noise: Open Source Intelligence (OSINT) for AI Loss of Control Detection Efficient Safety Benchmarking via Item Response Theory Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams Design Principles for Human-Agent Interaction Post-Training Recipe, More Than Model Family, Shapes Multi-Agent LLM Conversational Behavior Measuring the Occupation-Level Impact of AbbVie Intelligence: AI Applicability Analysis, 2024-2025 MAGNIFIED: RL Fine-tuning of Multimodal Large Language Models for Motion Planning Platooning Connected, Autonomous, and Human-Driven Vehicles: A Deep Reinforcement Learning-based Approach EmoInstruct-TTS: Dual-Path Instruction-Guided Emotional Speech Synthesis Distributed Model Predictive Control with Adaptive Safety Zones for Multi-Fleet Drone Operations Robust Auto-associative Memory via Convolutional Restricted Hopfield Networks BELLS-O: Evaluating the Operational Trade-offs of LLM Supervision Systems Towards CSI-Native Foundation Models: A Channel-Adaptive Roadmap for 6G A Projection-Based Surrogate Gradient Interpretation for Neural Codec Wrappers Genetic Algorithm Based Coordination and Optimization Model for Generation Grid Load Storage in Active Distribution Networks NeuroShield: A Device-Agnostic Foundation Model for EEG Authentication A Formal Tool for Verification of Probabilistic Spiking Neural Networks Based on Quotient Abstractions VQ4SNN: Vector Quantization for Memory-Efficient FPGA Spiking Neural Networks Jury Duty: Calibration and Orientation Failures in MLLM-as-a-Judge Under Cultural Ambiguity MemoryVAM: Integrating Memory into Video Action Model for Robot Manipulation JPPD: Joint Prediction_Planning Diffusion with Differentiable Safety Guidance for Dynamic Obstacle Avoidance in Intelligent Transportation Systems How Much Coordination Gain Is Real? A Paired Noise-Floor Protocol for Multi-Agent LLM Benchmarks MindAlign: Decoding Inner Speech from fMRI Signals via Multimodal Embedding Alignment under Limited Data Structural Distinguishability of Static and Adaptive Policy Regimes in Agent-Based Regulatory Simulation Machine-Coached Policy Revision in Adaptive Agent-Based Regulatory Simulation: A Controller-Level Contestability Layer Beyond Templates: Revisiting Zero-Shot Remote Sensing through Meta-Prompting MotionPyramid: Hierarchical Motion Representation and Residual Interfaces GEOPHYS: The Geometry of Physical Plausibility Video2Code: Generating Interactive Webpages from UI Videos via Action-Aware Revisit MIRAGE: Stealthy Visual Prompt Injection for Vulnerability Detection in Web Agents LLM-Guided Test-Time Discovery of Quantum-Chemical Approximation Algorithms XmoPipe: A Pipeline for Large-Scale In-the-Wild Human Motion Dataset Construction Robust Zero-Shot Generalization for Open-Vocabulary Action Recognition via Task Arithmetic An approach with Visual and Tabular Mamba to multimodal medical data using Mixed Fusion A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring without Lane Closure Massive Activations Are Architecturally Robust: A Controlled Scratch/Commitment Residual Stream Test Empowering Polymeric Materials Discovery by Artificial Intelligence A large-scale foundation model enables simulation-to-real adaptation for nuclear magnetic resonance-based molecular structure analysis A Topology-Aware, Memory-Centric Architecture that Separates Root-Cause Derivation from Root-Cause Explanation Integrating Large Language Model Agents with Digital Twins for Industrial Autonomous Systems Co-Construction Blindness and Asymmetric Epistemic Vulnerability in Human-LLM Interaction One Image is All You Need: Agentic One-Shot Image Generation via Text-Based World Models for Long-Tail Spatial Perception UniSLAD: A Unified Framework for Structural and Logical Industrial Visual Anomaly Detection FirstPass: Grounding AI Scientific Judgment in Multi-Round Editorial Outcomes Beyond 'One Language, One Script': Quantifying Orthographic Bias in Multilingual VLMs with PuMVR TriMotion: Modality-Agnostic Camera Control for Video Generation Formally Verified Code Synthesis for Structured Data Translation in a Medical Internet of Things GroundShot: Visually Consistent Multi-Shot Long Video Generation via Entity-Grounded Shot Scheduling B[FM]$^2$: Brain Foundation Model via Flow Matching with SplitUNet Translating Inference-Time Control to Radiology Vision-Language Models: Activation Steering for Pneumonia Classification on Chest X-rays FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation Can LLMs Reason About Brand Ownership? An Empirical Study of Domain Attribution Intelligence A3C3: AI Algorithm and Accelerator Co-design, Co-search, and Co-generation Machine Learning Classification of Cryopathy Syndromes: A Comprehensive Comparative Study Artificial collectives of specialists and generalists excel at different tasks The Substrate Collapse: AI Code Generation Invalidates Authorship-Based Knowledge Metrics Exploiting Neural Audio Codec Latents for Adversarial Audio Attacks PeerCheck: Enhancing LLM-Generated Academic Reviews Towards Human-Level Quality The Token Tax of Epistemic Accuracy: Comparing RAG and Long-Context Architectures for Document-Grounded Generative AI Applications Vesta: A Generalist Embodied Reasoning Model MMGNN: Multi-level, multi-color graph neural networks for molecular property prediction BELDE: Building a Large-scale Earth-observation Land-cover Dataset for Europe Whose Agent Are You? Multi-Layer Fingerprinting and Attribution of Autonomous Web Agents Latent Personal Memory: Represent personal memory as dynamic soft prompts PROTON: Prototype-Based Test-Time Online OOD Detection for Medical VLMs Short-Term Electricity Demand Forecasting for New England Using a Hybrid Transformer-XGBoost Framework with Weather, Calendar, and COVID-19 Indicators Peeking Inside LLMs: Leveraging Internal Artifacts of LLMs for Enhancing Reliability in Legal Classification Comparing Transformers and Hybrid Models at the Token Level Learning What Not to Forget: Long-Horizon Agent Memory from a Few Kilobytes of Learning Is Our Benchmark Enough? An Analysis of Continual Learning for MLLMs Detecting Satellites in Radio-Frequency Data via Semi-Supervised Learning Robusto-2: Benchmarking Humans & VLMs for Autonomous Driving in Lima & New York City Text-to-Image Generative AI for Modeling and Simulation: Methods, Opportunities, and Applications The Metanym Game: A Self-Contained, Self-Consistent LLM Peer-Community Benchmark for Structural Intelligence LK Jam: System Architecture and Implementation of a Real-Time Human-AI Interactive Music Generation System using Role-Aware GRU CheXpercept: A Benchmark for Evaluating Expert-Level Lesion Perception in Chest X-rays Structure-Aware Graph Multi-Task Learning for Dynamic Sparse OD Demand Prediction MoECodec: Image Compression for joint human and machine perception via Mixture-of-Experts Backdoor Attacks on Speech Emotion Recognition via TTS-Generated Poisoning Imitation Learning for Elder-Facing Speech Synthesis Local LLM Agents as Vulnerable Runtimes:A Source-Code Audit of the Agent Runtime Layer An Efficient and Effective Architecture for Large-Scale Traffic Prediction via Geometry-Adaptive Square Partitioning FiLM-Coordinated Dual-Branch Transformer for Global-Local Dependency Modeling in Language Modeling Scalable Hierarchical Attention Transformers for Multi-Turn Jailbreak Detection in Long Conversations Sim2O: Efficient Offline-to-Online MARL via Joint Action Composition SLeDGe: Semi-Supervised Learning on Data Streams with Graph Structure Learning LLM-Based Multi-Reference Evaluation for Efficient and Robust Assessment of Phrase Break Annotations Chem2Gen-Bench: Benchmarking Chemical-to-Genetic Translation in Perturbation Response Space MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems ConnectomeBench2: A Unified Benchmark for Automated Connectomic Proofreading MammoExpert: Benchmarking Chain-of-Thought Reasoning in Mammography Diagnosis PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning AgentMeter: Evaluating Model-CLI Matching for CLI-Based Local Task-Solving Agents AdaMem: Learning What to Remember for Personalized Long-Horizon LLM Agents AOR-Bench: Do Large Audio Language Models Over-Refuse Pseudo-Harmful Queries? Context-Aware Generative AI for Automated Telecom Test Script Generation Contrastive and Adaptive Multi-modal Masked Autoencoder for Spatial Transcriptomics OmniV2X: A Generative Foundation Planner for Efficient End-to-End Cooperative Driving An Exploratory Case Study of LLM-Assisted Refactoring and Gameplay Feature Generation in an Endless Runner Game Inverting the Bellman Equation: From $Q$-Values to World Models Anatomically Consistent TMJ Disc Segmentation via Semantic Anchoring and Clinical Priors TF-SNO: Time-Frequency Gated Spectral Neural Operators for Learning Non-Stationary Partial Differential Equations MEDLAYXPLAIN: Benchmarking the Expert-Lay Gap in Medical Vision-Language Models Beyond Hooking Onto the World: Referential Profiles and the Numerical Structure of LLM Grounding Extraction and Analysis of Multimodal Concepts in Vision Language Models through Sparse Autoencoders Communication Heterogeneity and Collective Consensus in Neural Cellular Automata When Context Misleads: Surprisal, Energy and Attention Entropy as Metrics of Coherence Illusions in LLMs QBioFusion-QSAR: Morgan-Anchored Quantum Multiple Kernel Learning for Small-Data Ligand Classification Speaker Identity in Non-Verbal Vocalizations: Conditional Distillation and Mixture of Experts Approach FleetAgent: Teleoperation Assistant for Autonomous Fleets via Vectorized V2N Messages Recency/Frequency Adaptive KV Caching for Large Language Model Serving ACE-GS: Acing the Trade-off with Accurate, Compact and Efficient 3D Gaussian Splatting An Empirical Study of OpenPangu Quantization on Ascend NPUs Few-Shot Hyperspectral Aphid Detection via FastGAN Synthetic Data Generation, Transformer-Based Classification and Explainable AI Topological Neural Dynamics: A Neuron-wise Framework for Sequence Modeling NASDAQ: Normalized Observation Space Dynamics-Augmented Q-Learning Task-Differentiated Atomic Skill Expansion and Routing for Continual Learning Across Highly Heterogeneous Tasks Warning labels shift perceptions of sycophantic AI, but not its influence Ramanujan Graph Rewiring with Non Negative Resistance Curvature DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams SOHET: Sequence Of Heterogeneous Events Transformer with Self-Supervised Pre-Training LambdaMark: Semantic Audio Watermarking for Robustness and Radioactivity Sexualised synthetic personas encode and amplify gendered power asymmetries through voice Graph-of-Differences: Anatomy-Structured Difference Alignment for Medical Image Re-Identification EnTrust: Modeling Inter-Modal Conflict for Trustworthy Multimodal Medical Image Analysis Unsupervised Disentanglement Without Compromises : How Functional Orthogonality Enforces Identifiability Evaluating LLMs for Real-World Web Vulnerability Detection SwarmX: Agentic Scheduling for Low-Latency Agentic Systems 2D Versus 3D Diffusion for In Silico Training of Interventional X-ray AI Models MIRCaps: A Large-Scale Mixed-Domain Dataset with Image-Level and Region-Level Captions for Fine-Grained Vision-Language Learning Does Mixture-of-Experts Actually Help Inference on Consumer and Edge Hardware? An Empirical Study CORTIS: Text-Only Adaptation of Spoken Language Models for Task-Oriented Voice Agents Evaluation of Small Language Models for Arabic Language Processing Predicting High-Risk Colorectal Polyps in African Americans Using Pre-Colonoscopy Clinical Features: Machine Learning Model Development and Temporal Validation Decoupling the Declarative from the Procedural in Vision-Language-Action Models Breaking chains with trees: Deep learning with $\mathcal{O}(\log N)$ parallel time complexity Backpropagating Through Simulation: Analytic Policy Gradients for Sample and Learning Efficient Differentiable Continuous Control Memory Is No Longer a Bottleneck: Memory-Efficient Graph Filtering for Scalable Collaborative Filtering The Unreasonable Effectiveness of VLMs for Zero-shot Procedural Mistake Detection FAST: A Framework for Aligned Sampling and Training in Parallel Reinforcement Learning for Autonomous Driving The Two-Hump Problem: Bridging the Difficulty Gap in Mathematical Reinforcement Learning Cross-Modal Corroboration for Annotation-Free Wildlife Monitoring A DVDrive Approach for doScenes Instructed Driving Challenge When Is an LLM Worth It for Hyperparameter Optimization? A Budget-Matched Study on Tabular Data Finds the Warm-Start Is a Default Configuration, Not the Model Improving Text-to-Music Generation with Human Preference Rewards Imitation from Heterogeneous Demonstrations using Grounded Latent-Action World Models Decodable but Not Faithful: Coupling Natural-Language Rationales to Programmatic Verifiers TACO: Task-Aware Column Description Generation Using LLMs Clinical Term Extraction using Open-Source Small Language Models PrivacyAlign: Contextual Privacy Alignment for LLM Agents Denoising Iterative Self-Correction: Structured Verification Loops for Reliable LLM Reasoning Safe to Check, Unsafe to Use: Relinking at the Compression Boundary of LLM Agents HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning Cohort Organized Learning: Clustering Through Agreement Scene-Level Heterogeneous Physics Simulation with 3D Gaussian Splats Beyond the Next Step: Variable-Length Latent World Models for Long-Horizon Planning CalVerT: Augmenting Agents with Calibrated Verifier Telemetry Improves Action and Learning in Knowledge-Intensive Tasks THREAD: Trajectory Planning for Hybrid Rigid-Soft Manipulators with Environment-Aware Diffusion Is Agent Code Less Maintainable Than Human Code? Steer, Don't Solve: Training Small Critic Models for Large Code Agents Generating Public Health Responses using Survey-Augmented Large Language Models CNnotator: LLM-Guided Memory Safety Annotation Synthesis AgentDSE: Reasoning-Augmented Architectural Design Space Exploration UniRank: Unified Rank Allocation for Low-Rank LLM Compression Keyless Attention: Value-Space Routing and Value-Only Caching for Efficient Transformers Harness-MU: A Safe, Governed, and Effective Harness for Multi-User LLM Agents The Language-Energy Divide: Measuring Energy Costs of Multilingual LLM Inference Protein contacts are already in the attention: a single-forward-pass alternative to the Categorical Jacobian Streaming T5-based Text-to-Speech Synthesis with Limited Lookahead A Verifiable Search Is Not a Learnable Chain-of-Thought Cohort-Anchored Foundation Models for Electronic Health Records: From Risk Scores to Auditable Peer Cohorts AI-Mediated Negotiation: Design Reflections and Lessons Improving Engine Sound Analysis in Hot-Test Environments via a RAB-U-Net (Residual Attention Block U-Net) Noise Removal Method Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity Recognition Skills for the future software profession: beyond agentic AI! Rethinking the Adaptation of Vision Foundation Models for Efficient Cell Segmentation Latent Confidence Alignment for LLM Self-Assessment Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning ScalePredictor: Instance-aware Scale Learning for Accurate Quantization of Vision Transformers From RAN Control to Agentic Intelligence: Architecture and Vision for Energy Efficient AI-RAN SPOTR: Spatio-temporal Pooling One-Token Reconstruction for Universal Physiological Signal Self-supervised Learning Fine-Tuning Large Language Models for Quantum Reasoning Old Fictions, New Skins: Evaluating the Manipulative Capabilities of LLMs in Healthcare Channel Location Constrains the Auditability of Subliminal Learning Cluster-Specific Localized Drift Detection for Efficient Batch Model Adaptation under Controlled Distribution Shift RARM: Confidence-Gated Progress Reward Modeling for RL in Manipulation A Completion-Aware Framework for Impactful Counterfactual Explainability in Graph Neural Networks Gradient-Descent Steps to Success over Mean Accuracy: A Paradigm Shift for ML NL2Scratch: An Executable Benchmark and Evaluation for Block-Based Programming New Smooth Loss functions for Robust Regression that Closely Approximate Absolute Error and Provide Improved Performance on Datasets With Significant Outliers CodeTeam: An LLM-Powered Multi-Agent Framework for Repository-Level Code Generation Plurification in/of language technology -- The integration of culture in next-generation AI TraceView: Interactive Visualization of Agentic Program Repair Trajectories KITE: Decoupling Kinematics and Interaction for Zero-Shot Cross-Embodiment Manipulation BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language SAGE: An Expert-Annotated South Asian GI Endoscopy Dataset for Multimodal Learning and Hallucination Analysis $\pi$-RAG: Oblivious Retrieval via Semantic Quantization and Transcendental Addressing for Large Language Models Rebuttals Move Peer-Review Scores, but Initial-Review Structure Bounds the Movement Gated MLPs as Symmetry-Broken Rank-1 Bilinear Attention How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures DSSCNet: A Transfer Learning Framework for Cross-Corpus Dysarthric Speech Severity Classification Dual-Stream EEG Decoding for 3D Visual Perception L20-Edu-135M: An Auditable Single-GPU Study of Data-Efficient Small Language Modeling Neural Conjugate Aggregation: Identifiable Unsupervised Multi-Sensor Regression under Heterogeneous Sensor Bias When Is Emergent Consensus Real? A Measured Coupling Gain and a Validity Diagnostic for LLM Agent Societies Lexical Consensus: Grounded Word Learning and Shared Meaning in Artificial Agents Sequential Minimal Optimization Algorithm for One-Class Support Vector Machines With Privileged Information Delta-Diffusion: Modeling Longitudinal Brain Amyloid-PET Trajectories via Conditional Poisson Diffusion Bridge An Analysis of Untrained Deep Reservoir Networks for Audio Surveillance MultiMem: Measuring and Mitigating Memorization in Multi-Modal Contrastive Learninga Quantifying Theoretical AI Alignment Guarantees: Receiver-Utility Bounds in Bayesian Persuasion On the Expressive Power of Weight Quantization in Large Language Models From Handcrafted Features to Functional Edge Learning: Evolution of EEG Seizure Detection Frameworks Revelio: Cost-Efficient Agentic Memory Safety Vulnerability Detection For Repository-Scale Codebases Evaluating Large Language Models for Hausa and Fongbe Machine Translation: Benchmarks, Failures, and Metric Reliability MixedPEFT: Combining Multiple PEFT Methods with Mixed Objectives for Unsupervised Domain Adaptation From Speech to Text Corpora: Evaluating ASR-Based Data Acquisition for Low-Resource Fongbe and Hausa Active Sensing and Deferred-Decision Trajectory Optimization for Robust Target Identification SCENIC: Semantic-Conditioned Edge-Aware Neural Framework for Structured IoT Command Generation Leveraging Large Language Models to Obscure Code Stylometry: A Comparative Study of GPT-3.5 and GPT-4 Enhancing Protein Representation Learning via Manifold Restore Mixing Diffusion Integrated Gradients: Controllable Path Generation for Flexible Feature Attribution Curriculum Reinforcement Learning Can Incentivize Reasoning Capacity in LLMs Beyond the Base Model All Routes Lead to Collapse BabelJudge: Measuring LLM-as-a-Judge Reliability Across Languages and Agent Trajectories Benchmarking Robot Memory Under Interference Flow Annealing Posterior Sampling for Function-Space Regression and Inverse Problems Select-to-Act: Hierarchical Reinforcement Learning via Adaptive Language Guidance Reliability-Guided Adaptive Ensembling for Robust Test-Time Adaptation On the Sparsity-Storage-Accuracy Tradeoff in Parsimoniously Activated Dictionary Learning First-Token Broadcasters: Mechanistic Origins of Language Identity and Distributed Robustness in Transformers Large Language Model-Assisted Cleaning of Report-Derived Labels in a Large-Scale Chest CT Dataset Structured Hyperedge Adaptation for Parameter-Efficient Fine-Tuning of Vision Transformers Reinforcement learning to improve large language model-based automated code compliance systems Gold Points Sniper: Self-guided Visual Reasoning in VLM for Fine-grained Action Understanding Words as Difference Makers: How Large Language Models Determine Causal Structure in Text MMGist: A Comprehensive Multimodal Benchmark for 2027 DreamUV: Unwrap Artist-like UV by End-to-End Flow Matching CASPER in the Machine: Insights into Character Variety in LLM-Generated Stories Not All Claims Are Equally Risky: FACTOR for Adaptive Verification in Factual Long-Form Generation All Green, Still Broken: Real-Flow Verification Lessons from an LLM-Integrated, Multi-Market Web Application Human and AI collaboration for pulmonary nodule segmentation An LLM-Orchestrated Agent for Directional-Coupler Design with Self-Consistent Eigenmode and FDTD Validation Enabling Cloud-Level Accuracy in Edge AI through IoT Data Preprocessing Fed-CausalDiff: Decoupled Synchronization for Federated Do-Simulation and Policy Evaluation Generative Robust Optimisation Training-Free Semantic Correction for Autoregressive Visual Models Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation The Power of Light: Improving Synthetic-to-Real Domain Adaptation through Physically-Based Indirect Illumination Context-Aware Distillation and Ablation for Text2DSL From CVE to CWE: Syscall-Based HIDS Generalisation On the Position Bias of On-Policy Distillation Federated Learning for Global Carbon Emission Forecasting: A Hybrid Time-Series Approach with Statistical and Neural Models Orthogonal Representation Editing: Decoupling Semantic Entanglement in Batch Knowledge Editing of LLMs Foundation Models for Epileptogenic Zone Identification in Drug-Resistant Epilepsy Confidently Wrong: Severity-Aware Calibration of Prompt-Injection Detectors under Attack Shift Data Evolution by Wittgenstein's Rule Following RigorBench: Benchmarking Engineering Process Discipline in Autonomous AI Coding Agents Only Ask What You Don't Know: Grounded Delta Planning for Efficient Multi-step RAG The Geometry of Refusal: Linear Instability in Safety-Aligned LLMs SCRUB-FL: Sanitizing and Cleansing Representations via Unlearning of Backdoors Libretto: Giving LLM Agents a Sense of Musical Structure Beyond Simpson's Paradox: A Cascade of Confounders in AI Agent Pull-Request Co-Authorship Leakage-Aware Benchmarking of LLM Forecasting: Real-Time Nowcasts as the Decision-Time Input for Macro Factor Ranking Subspace-Constrained Federated Learning with Low-Rank Adaptation Interpretable Uncertainty Routing Separating Emotion Ambiguity from Distribution Shift in Facial Expression Recognition When Confidence Takes the Wrong Path: Diagnosing Retrieval-State Lock-In in RAG AI Fiction in the Wild Evolutionary Optimization Reveals Structural Constraints on Reservoir Architecture for Spatiotemporal Chaos Noise is Signal: Density-Based Outliers as Leading Indicators of Occupational Emergence in Labor Market Text GeoRouteNet: Geometry-Enhanced Non-Autoregressive Neural Solver for the Traveling Salesman Problem Explainable AI for Mental Health Prediction in Drug-Affected Populations with Dragonfly Algorithm and GAN Oversampling Scaling Audio Models Efficiently: A Joint Study of Compute Constraints and Optimization Behavior Bagpiper-TTS: Natural Language Guided Universal Speech Synthesis DBT-Bleed: Dual-Branch Temporal Modeling with Key-Frame Selection for Surgical Bleeding Detection OrthoMotion:Disentangling Camera and Subject Motion via Geometry Semantics Orthogonal Attention CLIP-guided Diffusion Model for Backdoor Generation in Sensor-based Human Activity Recognition The Unseen Hand: Manipulating Model Fairness and SHAP with Targeted Identity Re-Association Attacks Discovering Crystal Structure Prediction Algorithms with an AI Co-Scientist VideoLatent: Video-Language Learning via Latent Self-Forcing SpotAttention: Plug-In Block-Sparse Routing for Pretrained Long-Context Transformers Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning Explanation-Guided Medical Named Entity Recognition with Stability and Boundary Awareness for Atopic Dermatitis Explainable AI in Speaker Recognition -- Attention Map Visualisation and Evaluation From Fragments to Paths: Task-Level Context Recovery for Large Industrial Codebases Graph-Enhanced Large Language Models for Spatial Search Cross-lingual Retrieval-Augmented Classification for Dysarthria Severity Assessment Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving Hierarchical Reinforcement Learning for Sparse-Reward Search in Commutative Algebra BEV-Denoise: Learning Intrinsic Noise for Accurate Bird's-Eye-View Semantic Segmentation Provable Benefits of RLVR over SFT for Reasoning Models: Learning to Backtrack Efficiently Attacking the Trusted Imagination: Oracle-Level Integrity Attacks on Imagine-then-Act World Models Understanding Parallel Samplers in Masked Diffusion via Random Walks on Graphs StatABench: Dataset and Framework for Evaluating Statistical Analysis Capabilities of LLMs Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift Group-Graph Policy Optimization for Long-Horizon Agentic Reinforcement Learning ScalingAttention: Discovering Intrinsic Sparse Attention Topology for Video Diffusion Transformers Physics-Guided Spatiotemporal State Space Modeling for Lookahead Molten Pool Segmentation in Laser Wire-Feed Welding EvoRubrics: Dynamic Rubrics as Rewards via Adversarial Co-Evolution for LLM Reinforcement Learning The Model as One Rater Among Several: Measuring Political Positions in Data-Sparse Regions with a Language-Model Panel Prime Fourier Embeddings: A Principled Basis for Modular Arithmetic Domain Adaptation Under Wireless Network Constraints: When Does It Become Green? HALAS: A Human-Annotated Dataset of Hallucinations of Modern ASR Systems Training Open Models for Agentic Phone Use Physics-governed executable modelling of triboelectric nanogenerators From Text Metrics to Model Internals: A Study of Whisper ASR Hallucination Detection MotionHalluc: Diagnosing Kinematic Hallucinations in Fine-Grained Motion Reasoning Attention-Spectrum Regularization for Replay-Free Continual Multimodal LLMs Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies AdaReP:Adaptive Re-Planning under Model Mismatch for Neural World-Model Predictive Control FLFL: Federated Latent Factor Learning for Private Recovery of Spatio-Temporal Signals ReNIO: Reweighting Negative Trajectory Importance for LLM On-Policy Distillation Self-Evolution for Multi-Turn Tool-Calling Agents via Divergence-Point Preference Learning PRIDE: Privileged Information-enhanced Distillation for Empathetic Dialogue Generation AI-Empowered UAV-Assisted Backscatter Localization and ISAC for Zero-Energy IoT: A Comprehensive Survey LLM-Aided A* Search in Non-Geometric Network Graphs Interpretable Probabilistic Medical Image Segmentation via Gaussian Process with Explicit Modelling of Annotation Bias and Variability Memory Contagion: Cross-Temporal Propagation of Evaluator Bias via Agent Memory When Does Intrinsic Self-Correction Help? A Task-Sensitive Analysis The Correct Answer Trap: Pedagogically-Grounded Detection and Feedback for Hidden Misconceptions Where Is My Physics Wrong? Localized and Identifiable Discovery of Model Discrepancy MuPPET: A Benchmark for Contextual Privacy of LLM Assistants in Multi-Party Conversations RS-Gen: A Multi-Stage Agentic Framework for Reasoning and Search-Augmented Image Generation SteerVTE: Seamless Video Text Editing with Style and Glyph Control P-JEPA: Procedural Video Representation Learning via Joint Embedding Predictive Architecture Dynamic multi-agent deep reinforcement learning-based pricing and incentivization approach in multimodal transportation networks Exposing the Illusion of Erasure in Knowledge Editing for LLMs Towards a Bathroom-Centered Human-Building Digital Twin Framework for Indoor Safety Analysis VideoAgent: All-in-One Framework for Video Understanding and Editing The Watermark Shortcut: How Provenance Marking Sabotages Audio Deepfake Detection Field-level weak lensing cosmology with $<100$ simulations using multifidelity simulation-based inference Adaptive Hard-Soft Physics-Informed Neural Networks for Robust Boundary-Constrained PDE Solving Rethinking Molecular Graph Backdoors under Chemistry-aware Admission Measuring & Mitigating Over-Alignment for LLMs in Multilingual Criminal Law Courts Energy-Based Transformers as Predictors of Reading Difficulty Distribution-Aware Diffusion-LLM for Robust Ultra-Long-Term Time Series Forecasting Automated Semantic Fault Localization in SysML v2: A Human-in-the-Loop Framework Using Knowledge-Graph Augmented LLMs ReasoningLens: Hierarchical Visualization and Diagnostic Auditing for Large Reasoning Models HyperQuant: A Rate-Distortion-Optimal Quantization Pipeline for Large Language and Diffusion Models UnBias-Plus: Detect, Explain, and Rewrite Bias Detecting Malicious Agent Skills in the Wild using Attention GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation Rethinking Object-Centric Representations for Video Dynamics Modeling What Does a Chemical Language Model Know About Molecules? War in the Abstract: The Rise and Consequences of Militarized Language in Scientific Communication DVL-DeepONet: A Physics-Guided Operator Learning for Resilient Underwater Navigation SQLConductor: Search-to-Policy Learning for Step-wise Text-to-SQL Orchestration The Energy Consumption of Transformer Fine-Tuning: A Roofline-Inspired Scaling Model Scheduling Thoughts: Learning the Order of Thought in Diffusion Language Models Solve for the Hyperparameter, Skip the Search: Kolmogorov-Optimal Scaling Laws for Spline Regression Kamera: Unified Position-Invariant Multimodal KV Cache for Training-Free Reuse Decentralized Autonomous Traffic Management through Corridor Networks A Generative Model for Closed-Loop Microsimulation of Signalized Intersections Polycepta: Object-Centric Appearance Estimation for Multi-Object Tracking Scaling Linear Mode Connectivity and Merging to Billion Parameter Pretrained Transformers Discovering Latent Groups for Robust Classification Data Selection Through Iterative Self-Filtering for Vision-Language Settings RECALL: Recovery Experience Collection for Active Lifelong Learning in Vision-Language-Action Models DiT-Reward: Generative Representations for Text-to-Image Reward Modeling Learning Process Rewards via Success Visitation Matching for Efficient RL Tapered Language Models Open Problem: Is AdamW Effective Under Heavy-Tailed Noise? AIR: Adaptive Interleaved Reasoning with Code in MLLMs Semantic Browsing: Controllable Diversity for Image Generation CoorDex: Coordinating Body and Hand Priors for Continuous Dexterous Humanoid Loco-Manipulation A criterion for Artificial General Intelligence: hypothetic-deductive reasoning, tested on ChatGPT Emergent Communication in Continuous Worlds: Self-Organisation of Conceptually Grounded Vocabularies at Scale A Neural Operator-Based Approach to Symbolic Discovery of PDEs EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning AgentMisalignment: Measuring the Propensity for Misaligned Behaviour in LLM-Based Agents United Minds or Isolated Agents? Exploring Coordination of LLMs under Cognitive Load Theory TIP-Search: Time-Predictable Inference Scheduling for Market Prediction under Uncertain Load Illuminating the Three Dogmas of Reinforcement Learning under Evolutionary Light Reinforcement Learning for Long-Horizon Unordered Tasks: From Boolean to Coupled Reward Machines MedBayes-Lite: A Clinical Uncertainty Governance Layer for Risk-Aware Medical Decision Support NOEM$^{3}$A: a Neuro-symbolic Ontology-Enhanced Method for Multi-intent understanding in Mobile Agents Pessimistic Verification for Open Ended Math Questions Sparse Neuron Ablation Triggers Catastrophic Collapse of the Language Core in Large Vision-Language Models Enhancing Diversity of LLM-Generated Educational Tasks StackPlanner: A Centralized Hierarchical Multi-Agent System with Task-Experience Memory Management Anytime Safe PAC Efficient Reasoning Learning More from Less: Unlocking Internal Representations for Benchmark Compression AIR: Improving Agent Safety through Incident Response Agent Skill Framework: Perspectives on the Potential of Small to Medium Language Models in Industrial Environments LemmaBench: A Live, Research-Level Benchmark to Evaluate LLM Capabilities in Mathematics DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent Retrievit: In-context Retrieval Capabilities of Transformers, State Space Models, and Hybrid Architectures Two-Bridge: Exclusive Objectives and Extended Horizon StarCraft II Benchmark RetailBench: Evaluating Long-Horizon Autonomous Decision-Making and Strategy Stability of LLM Agents in Realistic Retail Environments An AI Co-Data-Scientist for Prioritizing Candidate Biomarkers from Wearable Sensor Data Autogenesis: A Self-Evolving Agent Protocol Persuadability and LLMs as Legal Decision Tools Verifiable Counterfactual Supervision for Process Reward Models Positive Alignment: Artificial Intelligence for Human Flourishing Distribution-Aware Algorithm Design with LLM Agents MBABench: Evaluating LLM Agents on End-to-End Spreadsheet Tasks in Finance From XXLTraffic to EvoXXLTraffic: Scaling Traffic Forecasting to Sensor-Evolving Networks Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches SCI-PRM: A Tool Aware Process Reward Model for Scientific Reasoning Verification A Four-Valued Normative Intermediate Representation for ASP-Oriented Compliance Reasoning Where Should Knowledge Enter? A Layered Framework for Knowledge Infusion in Multimodal Iterative Generative Model DN-Hypo-Pipeline: An AI-Driven Workflow for Generating Hypotheses using Large Language Models and Scientific Explanations ComplexConstraints and Beyond: Expert Rubrics for RLVR Anything2Skill: Compiling External Knowledge into Reusable Skills for Agents Collaborative Human-Agent Protocol (CHAP) Learning What to Remember: Observability-Safe Memory Retention via Constrained Optimization for Long-Horizon Language Agents Accelerating NeurASP with vectorization and caching Learning What to Remember: A Cognitively Grounded Multi-Factor Value Model for Agentic Memory SciR: A Controllable Benchmark for Scientific Reasoning in LLMs Neuro-Symbolic Agents for Regulated Process Automation: Challenges and Research Agenda GitOfThoughts: Version-Controlled Reasoning and Agent Memory You Can Replay, Diff, and Merge PrologMCP: A Standardized Prolog Tool Interface for LLM Agents RetailBench: Benchmarking long horizon reasoning and coherent decision making of LLM agents in realistic retail environments LLM-as-Code: Agentic Programming for Agent Harness Know Your Limits : On the Faithfulness of LLMs as Solvers and Autoformalizers in Legal Reasoning AI Research moves towards open and reproducible science Nothing from Something: Can a Language Model Discover 0? FinAcumen: Financial Multimodal Reasoning via Self-Evolving Experience Memory Harness Searching for Synergy in Shared Workspace Human-AI Collaboration Diffusion Language Models: An Experimental Analysis ITNet: A Learnable Integral Transform That Subsumes Convolution, Attention, and Recurrence BIM-Edit: Benchmarking Large Language Models for IFC-Based Building Information Modeling DeepSWIP: Quotient-WMC Counterfactuals for Neural Probabilistic Logic Programs Explanations for Automatic Speech Recognition Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning Transcribing Bengali Text with Regional Dialects to IPA using District Guided Tokens A Generalization Bound for Nearly-Linear Networks Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis ARVO: Atlas of Reproducible Vulnerabilities for Open-Source Software Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep Measuring Human Contribution in AI-Assisted Content Generation Brownian Motion with a Pulse: A Biostatistician's Guide to Diffusions, Bridges, Functional PCA, and First-Passage Models LAYUP: Asynchronous decentralized gradient descent with LAYer-wise UPdates CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching GAPartManip: A Large-scale Part-centric Dataset for Material-Agnostic Articulated Object Manipulation TIF: Learning Temporal Invariance in Android Malware Detectors From Markov to Laplace: How Mamba In-Context Learns Markov Chains AI-Augmented Thyroid Scintigraphy for Robust Classification of Disease ACTIVA: Amortized Causal Effect Estimation via Transformer-based Variational Autoencoder FairSAM: Fair Classification on Corrupted Image Data Through Sharpness-Aware Minimization Autonomous and Self-Adapting System for Synthetic Media Detection and Attribution Efficient Traffic State Prediction With Dynamic Joint Spatio-Temporal Relation Inference Causally Fair Node Classification on Non-IID Graph Data Adaptive GoGI-Skip: Coupling Goal-Gradient Importance with Dynamic Uncertainty for Efficient Reasoning Brain-Inspired Stochastic Joint Embedding Representation Learning Towards Adaptive Categories: Dimensional Governance for Agentic AI Render-FM: Feedforward Model for Real-time Photorealistic Volumetric Rendering Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques "Is This Really a Human Peer Supporter?": Misalignments Between Peer Supporters and Experts in LLM-Supported Interactions "I Said Things I Needed to Hear Myself": Peer Support as an Emotional, Organisational, and Sociotechnical Practice in Singapore ToxSyn-PT: A Synthetic Fine-Grained Dataset of Minority-Targeted Toxic Language in Portuguese From Empirical Evaluation to Context-Aware Enhancement: Repairing Regression Errors with LLMs Measuring Intent Comprehension in LLMs Structure-Aware Compound-Protein Affinity Prediction via Graph Neural Networks with Group Lasso Regularization Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings DPO Unchained: Your Training Algorithm is Secretly Disentangled in Human Choice Theory (and its Loss' Convexity is Dispensable) CLAR: Learning 3D Representations for Robotic Manipulation by Fusing Masked Reconstruction with Multi-Level Contrastive Alignment Detail++: Training-Free Detail Enhancer for T2I Diffusion Models FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting The Ratchet Effect in Silico: How Interaction Drives Cumulative Intelligence in Large Language Models NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs Mitigating Cross-Image Information Leakage in Multi-Image Understanding with Large Vision-Language Models Meta-learning ecological priors from large language models explains human learning and decision making The Efficiency Frontier: Classical Shadows versus Direct Quantum Measurement Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication Cross-Attention is Half Explanation in Speech-to-Text Models QAMO: Quality-aware Multi-centroid One-class Learning For Speech Deepfake Detection OFMU: Optimization-Driven Framework for Machine Unlearning HERMAN: Hierarchical Representation Matching for CLIP-based Class-Incremental Learning LUQ: Layerwise Ultra-Low Bit Quantization for Multimodal Large Language Models Explore-Execute Chain: Towards an Efficient Structured Reasoning Paradigm On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs SIMSplat: Language-Aligned 4D Gaussian Splatting for Driving Scenario Generation Oracle-RLAIF: An Improved Fine-Tuning Framework for Multi-modal Video Models using Reinforcement Learning from Ranking Feedback Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation Generalization of Fine-Tuned Uncertainty Communication and Metacognition in Large Language Models GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations Arguments that Alter Minds: LLM Rationales Sway Human (and LLM) Notions of Plausibility Learning Bug Context for PyTorch-to-JAX Translation with LLMs Discrete State Diffusion Models: A Sample Complexity Perspective CQD-SHAP: Explainable Complex Query Answering via Shapley Values The Chameleon Nature of LLMs: Quantifying Multi-Turn Stance Instability in Search-Enabled Language Models Strengthening LLMs for Tabular Prediction with Structural Priors When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents EgoExo-Con: Exploring View-Invariant Video Temporal Understanding MultiZebraLogic: A Multilingual Logical Reasoning Benchmark MedFedPure: A Medical Federated Framework with MAE-based Detection and Diffusion Purification for Inference-Time Attacks Tell Me: An LLM-powered Mental Well-being Assistant with RAG, Synthetic Dialogue Generation, and Agentic Planning DUPLE: An Intelligent Cross-Deployment Recognition Framework for Fiber-Optic Perimeter Security under Scarce Target Labels Test-Time Alignment of Text-to-Image Diffusion Models via Null-Text Embedding Optimisation DASIP: Dynamic Test-Time Compute Scaling for Robot Control with Stochastic Interpolant Policies From Discrete Plans to Real-World Execution: A World-Model-Driven Framework for Execution-Aware Multi-Agent Path Finding Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing Ky Fan Norms and Beyond: Dual Norms and Combinations for Matrix Optimization HaineiFRDM: Structure-Preserving Diffusion for Film Restoration under Fast Motion and Diverse Defects Safety Is Not Universal: The Selective Safety Trap in LLM Alignment One Interaction Is Worth a Thousand Guesses: Benchmarking the Interactive Capabilities of Deep Research Agents From RAG to Agentic RAG for Faithful Islamic Question Answering Hierarchical Sparse Circuit Extraction from Billion-Parameter Language Models through Scalable Attribution Graph Decomposition HardSecBench: Benchmarking the Security Awareness of LLMs for Hardware Code Generation TrojanGYM: A Detector-in-the-Loop LLM for Adaptive RTL Hardware Trojan Insertion Temporal Graph Pattern Machine OGD4All: A Framework for Accessible Interaction with Geospatial Open Government Data Based on Large Language Models Happy Young Women, Grumpy Old Men? Emotion-Driven Demographic Biases in Synthetic Face Generation DeALOG: Decentralized Multi-Agents Log-Mediated Reasoning Framework Active Causal Experimentalist (ACE): Learning Intervention Strategies via Direct Preference Optimization Scaling Small Agents Through Strategy Auctions Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image Generation Disentangling Intrinsic Importance from Emergent Structure in Multi-Expert Orchestration The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL Next-Gen CAPTCHAs: Leveraging the Cognitive Gap for Scalable and Diverse GUI-Agent Defense From Noise to Order: Learning to Rank via Denoising Diffusion Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis ALOE: Action-Level Off-Policy Evaluation for Vision-Language-Action Model Post-Training Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction AD-Bench: A Real-World, Trajectory-Aware Advertising Analytics Benchmark for LLM Agents AXE: Grey-Box Exploitability Confirmation for Localized Vulnerability Reports MAVRL: Learning Reward Functions from Multiple Feedback Types with Amortized Variational Inference Fine-Grained Uncertainty Quantification for Long-Form Language Model Outputs: A Comparative Study Model Merging in the Essential Subspace EPSVec: Efficient and Private Synthetic Data Generation via Dataset Vectors Revisiting Text Ranking in Deep Research NNiT: Width-Agnostic Neural Network Generation with Structurally Aligned Weight Spaces The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction GAC: Stabilizing Asynchronous RL Training for LLMs via Gradient Alignment Control Probabilistic Retrofitting of Learned Simulators MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning ZeSTA: Zero-Shot TTS Augmentation with Domain-Conditioned Training for Data-Efficient Personalized Speech Synthesis Jacobian-Adaptive Weighting for Stability: Enhancing Long-term Rollout of Neural Partial Differential Equation Solvers via Spatially-Adaptive Regularization Skeleton-to-Image Encoding: Enabling Skeleton Representation Learning via Vision-Pretrained Models Whisper-CD: Accurate Long-Form Speech Recognition using Multi-Negative Contrastive Decoding Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions via Proper Scoring Rules Retrieval-Augmented Anatomical Guidance for Text-to-CT Generation Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage CLoE: Expert Consistency Learning for Robust Missing Modality Segmentation Deep Generative Transformers for Probabilistic Time Series and Spatiotemporal Forecasting Mask2Flow-TSE: Two-Stage Target Speaker Extraction with Masking and Flow Matching A Robust Framework for Secure Cardiovascular Risk Prediction: An Architectural Case Study of Differentially Private Federated Learning Controllable Accent Normalization via Discrete Diffusion Deep EM with Hierarchical Latent Label Modelling for Multi-Site Prostate Lesion Segmentation You've Got a Golden Ticket: Improving Generative Robot Policies With A Single Noise Vector AI Agents Can Already Autonomously Perform Experimental High Energy Physics Voice Privacy from an Attribute-based Perspective Confident and Wrong: Silent Semantic Failures in Coding Agents ParaSpeechCLAP: A Dual-Encoder Speech-Text Model for Rich Stylistic Language-Audio Pretraining Executing as You Generate: Hiding Execution Latency in LLM Code Interpreters Attention at Rest Stays at Rest: Breaking Visual Inertia for Cognitive Hallucination Mitigation How Your Credentials Are Leaked by LLM Agent Skills: An Empirical Study The Augmentation Trap: AI Productivity and the Cost of Cognitive Offloading Towards Considerate Human-Robot Coexistence: A Dual-Space Framework of Robot Design and Human Perception in Healthcare Harf-Speech: A Clinically Aligned Framework for Arabic Phoneme-Level Speech Assessment Evolving Many Worlds: Towards Open-Ended Discovery in Petri Dish NCA via Population-Based Training Can AI Detect Life? Lessons from Artificial Life CoDe-R: Refining Decompiler Output with LLMs via Rationale Guidance and Adaptive Inference Behavior Cloning Under PD Control: A Finite-Horizon Theory of Gain-Dependent Error Amplification Understanding U.S. Users' Security and Privacy Transparency Needs for Consumer-Facing Generative AI Environmental Sound Deepfake Detection Using Deep-Learning Framework Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis LLM-ReSum: A Framework for LLM Reflective Summarization through Self-Evaluation SAGA: Workflow-Atomic Scheduling for AI Agent Inference on GPU Clusters Enhancing RL Generalizability in Robotics through SHAP Analysis of Algorithms and Hyperparameters Sycophantic AI makes human interaction feel more effortful and less satisfying over time Defense effectiveness across architectural layers: a mechanistic evaluation of persistent memory attacks on stateful LLM agents Sequential Feature Selection for Efficient Landslide Segmentation from Multi-Spectral Data EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution Pseudo-Deliberation in Language Models: When Reasoning Fails to Align Values and Actions TMPO: Trajectory Matching Policy Optimization for Diverse and Efficient Diffusion Alignment Iterative Audit Convergence in LLM-Managed Multi-Agent Systems: A Case Study in Prompt-Engineering Quality Assurance Q-Flow: Stable and Expressive Reinforcement Learning with Flow-Based Policy Universal Approximation of Nonlinear Operators and Their Derivatives WASIL: In-the-Wild Arabic Spoken Interactions with LLMs The Impact of AI Search on the Online Content Ecosystem: Evidence from Google and Reddit Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs Worse than Random: The Importance of a Baseline for Unsupervised Feature Selection Infra-Bayesian Reinforcement Learning Agents Outperform Classical RL For Worst-Case Robustness Are Frontier LLMs Ready for Cybersecurity? Evidence for Vertical Foundation Models from Dual-Mode Vulnerability Benchmarks YOLO26 vs. YOLOv8: A Comprehensive Architectural Benchmark of Next-Generation Real-Time Object Detection Models Neuronal Stochastic Attention Circuit (NSAC) for Probabilistic Representation Learning Pocket-Dentist: On-Device Dental Image Understanding via Efficient Multimodal Large Language Models Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles SAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMs Estimating Mutual Information between Time Series and Temporal Event Sequences Across Diverse Analysis Tasks LALE: Lightweight-Transformer Architecture for Land-Cover Estimation Samudra 2: Scaling Ocean Emulators across Resolutions From Untrusted Input to Trusted Memory: A Systematic Study of Memory Poisoning Attacks in LLM Agents Learning While Acting: A Skill-Enhanced Test-Time Co-Evolution Framework for Online Lifelong Learning Agents Multi-Granularity Reasoning for Natural Language Inference The Score Hamiltonian: Mapping Diffusion Models to Adiabatic Transport OPRD: On-Policy Representation Distillation Towards One-to-Many Temporal Grounding Will the Agent Recuse Itself? Measuring LLM-Agent Compliance with In-Band Access-Deny Signals CultureScore: Evaluating Cultural Faithfulness in Video Generation Models Minibatch Selection for Language Models via Partition Matroid Constrained Gradient Matching Chiaroscuro Attention: Spending Compute in the Dark INFUSER: Influence-Guided Self-Evolution Improves Reasoning Culturally-Adapted Red-Teaming Across East and Southeast Asian Contexts: A Methodological and Comparative Analysis Closing the Prior-Posterior Loop: Self-Reflective Molecular Design with Analysis-Driven LLM Iteration AGENTSERVESIM: A Hardware-aware Simulator for Multi-Turn LLM Agent Serving An 83-Format Numeric Catalog with Bit-Exact Conformance Vectors: A Vendor-Neutral Reference for FP8, BF16, MXFP4, and Microscaling Formats UPLOTS: A Unified Pretrained Language Model for Constrained Time-series Generation PolicyGuard: Towards Test-time and Step-level Adversary (Backdoor) Defense for Reinforcement Learning Agent scLLM-DSC: LLM-Knowledge Enhanced Cross-Modal Deep Structural Clustering for Single-Cell RNA Sequencing AgentRivet: an automated system for producing Rivet routines from journal publications Adaptive Turn-Taking for Real-time Multi-Party Voice Agents Simplex-Constrained Sparse Bagging: Transitioning from Uniform Priors to Sparse Posteriors in Ensemble Learning AutoDojo: Adaptive Black-Box Attacks Reveal the Limits of IPI Defenses and Task-Specification Effects in LLM Agents Cognitive Trajectory Modeling: Quantifying Human-AI Co-Creation through Cognitively Grounded Interaction Trajectories One Goal, Many Commands: Characterizing Denylist Fragility in AI Agents Surprise-Guided MergeSort: Budget-Efficient Human-in-the-Loop Ranking via Adaptive Comparison Scheduling The Reservoir Attention Network: Cross-Pass State in Pretrained Transformers via Content-Addressable Reservoir Injection Do Activation Monitors Survive Model Updates? Benchmarking, Predicting, and Repairing Activation-Monitor Staleness Calibrated Sampling-Free Uncertainty Estimation in Bayesian Deep Learning Demystifying Training-Time Augmentation for Data-Constrained Language Model Pretraining Dual-Granularity Orthogonal Disentanglement for Generalizable Audio Deepfake Detection MuVAP: Multimodal Multiparty Voice Activity Projection for Turn-taking Prediction in the Wild Follow the Latent Roadmap: Navigating Revocable Decoding for Diffusion LLMs with Anchor Tokens ARVO: Atlas of Reproducible Vulnerabilities for Open-Source Software SegTME-UNI2: A Foundation Model-Based Framework for Generalisable Multiclass Cell Segmentation and LLM-Driven Tumour Microenvironment Characterisation in Histopathology Vision-language models for chest radiography do not always need the image When AI Says "I have been in similar situations": Synthetic Lived Experience in Peer-Like Caregiver Support ASTRA: A Scalable Next-Generation ATCO Training Simulator with Autonomous Simpilots CAOA -- Completion-Assisted Object-CAD Alignment SFT Overtraining Predicts Rank Inversion via Entropy Collapse Under RLVR FoMoE: Breaking the Full-Replica Barrier with a Federation of MoEs Essential Subspace Merging for Multi-Task Learning The More the Merrier: Combining Properties for ABox Abduction under Repair Semantics in ELbot UBP2: Uncertainty-Balanced Preference Planning for Efficient Preference-based Reinforcement Learning Disentangling Linguistic Relatedness from Task Alignment in Cross-Lingual Transfer FAPO: Fully Automated Prompt Optimization of Multi-Step LLM Pipelines Token Factory: Efficiently Integrating Diverse Signals into Large Recommendation Models Hard or Just Unreached? Diagnosing the Sampling Blind Spot in Math-Reasoning Difficulty Estimation Library-Aware Doubles and Iterative Repair for Large Language Model-Generated Unit Tests in OpenSIL Firmware Temporal Self-Imitation Learning A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Evaluating and Enhancing Negation Comprehension in Remote Sensing MLLMs HilDA: Hierarchical Distillation with Diffusion for Advancing Self-Supervised LiDAR Pre-training SPOT-E: Test-Time Entropy Shaping with Visual Spotlights for Frozen VLMs Finetuning Vision-Language-Action Models Requires Fewer Layers Than You Think The Register Gap: A Meaning Intelligence Framework for Nigerian Public Discourse CRAX: Fast Safe Reinforcement Learning Benchmarking NRT-Bench: Benchmarking Multi-Turn Red-Teaming of LLM Operator Agents in Safety-Critical Control Rooms UltraQuant: 4-bit KV Caching for Context-Heavy Agents Sovereign Execution Broker: Enforcing Certificate-Bound Authority in Agentic Control PlanesGithub Trending (Python)
calesthio/OpenMontage mukul975/Anthropic-Cybersecurity-Skills bytedance/deer-flow ZhuLinsen/daily_stock_analysis NVIDIA/skills virattt/ai-hedge-fund vectorize-io/hindsight kernalix7/winpodx topoteretes/cognee Q00/ouroboros smicallef/spiderfoot unclecode/crawl4ai HKUDS/DeepTutorGithub Trending (C)
DeusData/codebase-memory-mcp libsdl-org/SDL Genymobile/scrcpy hathach/tinyusb aircrack-ng/aircrack-ng valkey-io/valkey microsoft/mimalloc openwrt/openwrt coolsnowwolf/lede winsiderss/systeminformer nothings/stb capstone-engine/capstone opa334/Dopamine acidanthera/OpenCorePkg moonlight-stream/moonlight-android 86Box/86Box libssh2/libssh2Nature
Retraction Note: Sub-second periodicity in a fast radio burst Nepal’s new science ministry must strengthen scientific capacity Academic success still assumes uninterrupted careers The halo effect: how academic hierarchy undermines peer review and enables fraud Do not leave fungi out of impact assessments A 1970s patent that changed the course of commercial biotechnology Silicon Valley’s vision for global AI is flawed: each country needs its own blueprint Europe as science superpower: what it will take to rival the US and China How should I respond to race-based exclusion in my lab? Europe must seize the moment to lead on free and open science Making samples one billion times bigger lets simple microscopes pinpoint amino acids C-glycoside synthesis via radical cross-coupling of glycohydrazides Stereoretentive decarbonylative C(sp3)-C(sp3) cross-coupling Isotopic evidence for a cold and distant origin of 3I/ATLAS A spacecraft is falling to its doom — can NASA save it? The first ticking ‘nuclear clocks’ are here — what can they do? Will AI spark a scientific renaissance — or a diffuse monoculture? Forty years of high-temperature superconductivity Daily briefing: First-ever ‘nuclear’ clocks put atomic clocks in the shade Make science more reliable: study people as they go about their lives Cancer cells adopt unprecedented strategies to produce a molecule that protects them from iron-dependent death Why heritage sites are at risk in a warming world — and how to save them Author Correction: Autophagic cell death restricts chromosomal instability during replicative crisis A long-lived butterfly’s secret to graceful ageing Briefing Chat: Testosterone and sperm might get a boost from obesity drugs Stem cells banish severe autoimmune disease for 15 years Daily briefing: Human detritus remakes geology Clues to the sloth’s sloth found in its genome It slices! It dices! Sashimi-Bot handles seafood with ease Is AI ruining our skills? Early results are in — and they’re not good Brexit tore apart European science — now the research rifts are healing Cell transplant across the tree of life hints at how animals emerged Daily briefing: The brain builds a sentence neuron by neuron Towards Conversational AI for Disease Management Fiery data hint that controlled forest fires benefit human health The brain region that could provide a cognitive ‘reservoir’ in old age DNA from hunter-gatherer teeth reveals secrets of ancient plague Emergent decadal predictability in Antarctic contribution to sea-level rise A distant brown dwarf coplanar to a warm Jupiter and a hot super-Earth Probing picometre-scale interlayer deformations via hyperbolic polaritons Optical fibre gripper for high-performance 3D micromanipulation A prototype differential atom interferometer for fundamental physics Structure of the pre-initiation complex explains CMGE biogenesis A 98-qubit trapped-ion quantum computer with all-to-all connectivity Fast formation to reinforce lithium-rich cathodes Revealing competitive interfacial reactions in high-energy Li–S batteries Molecular basis of polyadenylated RNA fate determination in the nucleus Rock weathering can counteract river CO2 emissions induced by permafrost thaw Cortical development dynamics across autism spectrum disorder mouse models A blastoporal organizer in a ctenophore Confined migration induces non-lethal DNA damage in developing neurons Analysis of 173,303 exomes and genomes in the Pakistan Genome Resource A mosaic of whole-body representations on the human precentral gyrus Spatial distribution of the proteome in the human body and in cancers Lethal plague outbreaks in Lake Baikal hunter-gatherers 5,500 years ago Mapping the neuronal building blocks of human language with language models Towards autonomous medical artificial intelligence agents CHPO coordinates chilling recovery and nitrogen use in rice Optical metasurfaces for general vision processing on the edge Visualizing the impact of quenched disorder on 2D electron Wigner solids Cucurbituril-based anion-conducting membranes with supramolecular nanopores How the zebrafish brain weaves recent experiences into future decisions Freezing brain damage in its tracks: cooling drugs limit stroke injury in mice Oceans in Asia smash heat records — what it means for extreme weather Wah-ult in the vault Reconfigurable quantum computer juggles 98 qubits Reimagining machine vision with optical computing Navigating a crowded developing brain leaves neurons with broken DNA The EU needs to back its ambition to end animal testing with cash Should nicotine be regulated like a narcotic? A Pacific nation makes the case How the brain builds sentences, neuron by neuron Light-controlled microgripper punches above its weight Daily briefing: The proteins that protect us from deadly mutations The ancestors of eukaryotic cells contained a mix of genes from various microbes These ‘master’ proteins protect us from deadly mutations — and could inspire new drugsCNN
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
Supreme Court rules that prison guards can't be sued for shaving Rastafarian's head In symbolic vote, Congress directs Trump to remove forces from Iran war Congress passes the largest housing affordability bill in decades Is AI 'one big bubble'? Behind the tech sell-off Portugal's Ronaldo shakes off World Cup doubters, scores 2 after sluggish start A Revolutionary War soldier's DNA links him to living relatives Afghan Taliban hold first, closed-door talks with EU on deportations U.S. lifts Iran oil sanctions. And, federal judge rules SAVE voter tool unlawful Who would pay for Trump's proposed $300 billion Iran reconstruction fund? When falling housing prices are good news — and when they're notThe Atlantic
The AI Super PACs Trying to Influence the Midterms Another Top General Is Out at the Pentagon America’s Greatest Food Export Is It Warm Out There? The Atlantic Announces Joshua Partlow, Ariel Sabar, and Sebastian Smee as Staff Writers America Desperately Needs More Sterile Screwworms Americans Are in Denial About Elder Care A Fancy Name for Junk Food SpaceX Just Needs the Money America’s Big Mistake in Iran Trump Can’t Spin His Way Out of His Two Latest Crises First the Kennedy Center, Now the Smithsonian California, Seen Through the Lens of George Rose The Man Who Couldn’t Do It What Happened to Tony Carruthers Is Horrifying What Will Happen to Birthright Citizenship? Radio Atlantic Expands: Launches Second Weekly Video Episode With Adam Harris The Hot New Place for Singles The Election System Wasn’t Built for This Democrats’ Great Alaskan Hope Paradise Revisited Imperfect Ghazal on Weightless Living Photos: A Bear-Emergency-Response Drill in Japan I’d Rather Risk Cancer Than See AI Move This Fast J. D. Vance’s AI DoctrineVox
The shallow authoritarianism of Trump’s Reflecting Pool Trump’s extraordinary welcome for white South Africans Why Trump is losing his war against algae The Supreme Court’s campaign to expand religious liberty now has a glaring exception The fall of Britain’s prime minister is a warning for America What happens when it breaks 100 degrees in Europe Will Britain’s next prime minister reverse Brexit? The World Cup is showing what Trump can’t destroy about America How to screw up universal childcare New college grads are doing better than the vibes suggestAl Jazeera
Iran war live: Trump, Tehran at odds over nuclear inspections, Hormuz UN begins evacuation of 11,000 sailors stranded in Strait of Hormuz Ronaldo late to World Cup party but still able to steal the show Protesters sentenced to decades in US prison over alleged antifa ties US Supreme Court says Rastafarian man shaved by prison guards can’t sue Israel’s deliberate targeting of Palestinian children England held by Ghana at World Cup as pair close on last-32 passage Donald Trump to attend World Cup final, present trophy: Infantino UN: Israel committed genocide by targeting Gaza children Paraguay’s Almiron suspended for one game after red card for covering mouth Trump allies reassure Israelis amid tensions on US-Iran deal Massive fire rips through Indonesia sandal factory UN starts evacuating 11,000 stranded sailors from Strait of Hormuz Alibaba sues US military over labelling it a ‘Chinese military company’ Trump disputes Iran’s rejection of nuclear inspectors India prepares contingency plans due to weak monsoon season Rubio begins Gulf visit in the UAE to advance US-Iran peace deal Sanchez warns he ‘will not recognise’ Fujimori victory in Peru election Iran’s president arrives in Pakistan for peace talks US Senate votes to pass Iran war powers resolution in blow to Trump US says Iran can stay for two days before Egypt World Cup game Ronaldo scores twice as Portugal thrash Uzbekistan 5-0 at World Cup 2026 Displaced Lebanese return south under fragile ceasefire deal Video: Israeli troops seen patrolling Syrian countryside US Supreme Court OKs ExxonMobil lawsuit over Castro-era property seizureArs Technica
White House drastically shortens deadline for dropping quantum-vulnerable crypto US's climate.gov site, taken down by Trump, relaunched by nonprofit Odd police video shows drone removing knife from motionless suspect Oracle’s 21,000 layoffs help drive its debt-fueled AI investments A curious crossover: The Toyota C-HR review ABC asks viewers to protest FCC attempt to "control who is allowed" on The View Early land animals skipped the tadpole phase Trump may be mystery patient in odd case of 79yo getting experimental obesity drug Everyone pays the price as patent holders on seeds stifle innovation Sony releases trailer for Taika Waititi's Klara and the Sun How to burst the AI bubble: Strike at its roots With Starfall, SpaceX eyes an edge in global cargo delivery from orbit GM installs robots at flagship EV factory after laying off 1,300 workers Report: Kennedy Space Center not ready for era of super heavy rockets Man used massage gun on his tired eyeballs. It went as well as you'd expect. Polymarket's viral videos showed people winning big, but the bets were fake Following user outcry, AMD reinstates memory encryption in consumer CPUs Valve's Steam Machine ships June 29 for $1,049, but you probably won't be able to buy one yet NHTSA investigating alleged Tesla Autopilot crash that killed woman in her home Lucid lays off 1,500 workers in second big cut of the yearSlashdot
29-Year-Old Squid Proxy Bug 'Squidbleed' Can Leak Cleartext HTTP Requests China Reclaims Fastest Supercomputer At 2 Exaflops Wikipedia Cofounder Larry Sanger Banned From Site for 'Canvassing' Walmart, In Biggest Deal In Two Years, Buys Advertising Tech Firm Vibe.co Mark Zuckerberg Directed Meta To Create a Prediction Markets App Digital Euro Expected To Launch By 2029 After EU Backing Meta Launches Cheaper Smart Glasses Without Ray-Ban Oracle Cuts 21,000 Jobs As It Embraces AI UK Considers Forcing Social Media Firms To Prioritize Trusted News Canada Plans 'Nuclear Renaissance' With Up To 10 Reactors Built By 2040 NASA's Nancy Grace Roman Space Telescope Arrives In Florida GM Installs Robots At Flagship EV Factory After Laying Off 1,300 Workers Microsoft Accidentally Breaks Replying To an Email On Outlook Following User Outcry, AMD Reinstates Memory Encryption In Consumer CPUs Valve Will Finally Let You Build Your Own Steam Machine With SteamOS For DesktopSmithsonian Magazine
A Letter Signed by George Washington That Helped Pave the Way for American Independence Goes on Display in London This Magical Curse Written in Greek on a Small Lead Tablet Was Meant to Punish Enemies Nearly 2,000 Years Ago This Giant, Seven-Story Picnic Basket, Once Home to an Iconic American Brand, Could Be Yours for $8.5 Million This Week, NASA Will Launch a First-of-Its-Kind Mission to Save a Space Telescope That Has Observed the Sky for Nearly 22 Years 100 Years Ago, Students Across the U.S. Took the First SAT. Today, Relatively Few Colleges Require the Test. Where Is It Headed? These Butterflies Can Live 25 Times Longer Than Their Relatives. They Might Provide Insights Into Healthy Aging in Humans Female Dolphins Seem to Remember Which Males Were Aggressive During Mating Season—and May Try to Avoid Them Scientists May Have Discovered the Origins of the Euphrates River, Which Helped Nurture Some of the Earliest Known Civilizations Fish and Humans Share Surprisingly Similar Sleep Habits, Including Daytime Naps This Infamous ‘Death Railway’ Station, Built by Forced Labor From Prisoners of War and Civilians in World War II, Was Just Revealed in ThailandInfoQ
Lucide Releases Version 1.0, Removing Brand Icons and Cutting Bundle Size for Millions of Projects Presentation: The Time It Wasn't DNS Microsoft Expands Azure Kubernetes Service with Bare Metal, Fleet Management and AI Infrastructure AWS Launches Blocks, an Open-Source TypeScript Framework Designed for AI Agents to Build Backends Presentation: Challenging Google Analytics: Building a Scalable, Cost-Effective User Tracking Service Java News Roundup: Spring Tools, Helidon, Open Liberty, TomEE, JobRunr, Hibernate, Commonhaus Article: Understanding ML Model Poisoning: How It Happens and How to Detect It Podcast: How eBPF Empowers Developers to Observe Inside the Linux Kernel in a Safe and Unintrusive Way AWS Graviton5 Reaches General Availability with 192 Cores and Formally Verified VM Isolation Anthropic Reports Claude Now Handles 95% of Internal Analytics Queries Inside Atlassian’s Forge Billing Architecture for Distributed Usage Tracking at Scale Apple Launches Core AI for Apple-Silicon Optimized On-Device Generative AI AWS Cognito Adds Multi-Region Failover for Authentication Behind the Scenes: Block 450 JVM Repositories into Monorepo to Reduce Dependency Drift Presentation: AI Agents to Make Sense of Data at OpenAIDynomight
The worthlessness of vitamin D is mildly exaggerated 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 wantingMarginal Revolution
Tuesday assorted links Two Roads to Fast Clinical Trials, and the US Takes Neither Is the UK improving? Dean Karlan has a Substack Elderly Health and Longevity in the US *The Migrants: A Memoir with Manuscripts* Monday assorted links Alan Greenspan, RIP at 100 California’s Gay Certification Program Scotland facts of the day What I’ve been reading Bastiat’s telephone? Sunday assorted links Labor market effects of the Tax Cuts and Jobs Act Music markets remain deglobalizedNot Boring
Weekly Dose of Optimism #198 Weekly Dose of Optimism #197 Return on Tokens (ROT) Expanding the Radius of Daily Life Weekly Dose of Optimism #196 America Spins on Westmag Weekly Dose of Optimism #195 Thank God For Data Centers Weekly Dose of Optimism #194 Cowboy Space Corporation Weekly Dose of Optimism #193 Riding the Leopard Weekly Dose of Optimism #192 Weekly Dose of Optimism #191 Scarce Assets Weekly Dose of Optimism #190 The Great Blue Frontier Weekly Dose of Optimism #189 Weekly Dose of Optimism #188 Weekly Dose of Optimism #187Coding Horror
Every Choice Changes Everything: The Show 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 ComputerQuanta Magazine
A Dark Dimension Could Link Two of the Universe’s Great Unknowns Why the Human Genome’s Tangled Physicality May Confound AI Seven Perfect Shuffles Randomize a Deck of Cards. But How Many Sloppy Ones? How Many Elementary Particles Are There, Really? Where Did Earth Get Its Oceans? Maybe It Made Them Itself.Science Daily
Scientists open a million-year-old time capsule hidden beneath New Zealand NASA’s Cold Atom Lab is creating one of the weirdest forms of matter in space This emerging treatment is helping people avoid knee replacement surgery Scientists say most people need more protein than current guidelines suggest A common vitamin could help fight one of the deadliest brain cancers Butterfly that barely ages could help unlock longevity secrets Future astronauts could walk across rocks from deep inside the Moon Ebola and hantavirus can start like the flu but turn deadly fast T. rex took 40 years to reach full size, scientists find As lakes turn brown, trout and bass decline while pike and walleye thrive One common fat may fuel type 2 diabetes while another helps fight it The tea in your kombucha changes more than just the taste This four-winged dinosaur may have terrorized Earth's earliest birds A rare interstellar visitor triggered a SETI search for alien technology Chinese sodium battery surprised scientists by matching key Tesla benchmarks A tiny diamond defect could reveal a mysterious new kind of magnetism Long-lived families reveal a rare genetic clue to healthy aging One of the world’s most popular weedkillers may be fueling deadly superbugs Tubulin prevents toxic brain protein clumps linked to Alzheimer’s and Parkinson’s Hidden bird species discovered in Japan after DNA reveals a stunning secret Yale study finds nearly half of older adults improved with age More trees can mean fewer birds, new study reveals Scientists discover neurons must break their DNA to build the brain Scientists finally solved how H5N1 bird flu hid in dairy cows This simple twist could bring quantum computers closer to reality A single cobalt shock could trigger global EV battery supply chaos This DNA repair gene went rogue and exposed a cancer weakness Meteorite reveals a lost moon-sized world from the dawn of the solar system Hidden geological process offsets carbon emissions from thawing permafrost The secret language behind animal cooperation Scientists found a cannabis compound that relieves pain without the high Major review finds vaping likely causes lung and oral cancer Einstein’s “biggest blunder” may finally have an explanation New brain study reveals speech learning works differently than we thought Think you're eating healthy? You may be missing this heart-protecting nutrient Scientists expected a black hole but found a neutrino factory powered by stars Researchers found a Wordle strategy that wins 99% of the time Scientists reprogram brain immune cells to fight Alzheimer’s Ozempic changed obesity treatment, but experts say the real revolution is next Major errors found in Al Gore-founded Climate TRACE database DNA time stamps reveal the strawberry’s surprising origins Think human anatomy is finished? Scientists say think again This giant tropical fruit could help reverse gum disease damage SpaceX wants to build AI data centers in space. Will it work? Arizona reservoir nearly vanishes after snowpack collapse triggers massive fish kill Black hole winds may be robbing giant galaxies of their future stars Ancient DNA reveals plague was already killing humans 5,500 years ago Superconductivity breakthrough could unlock ultra-efficient electronics Scientists May Have Found What Really Triggers Alzheimer’s Disease Humans may have hidden regenerative powers Researchers found 8 common food additives linked to high blood pressure and heart disease Scientists discover spider that disguises itself as a parasitic fungus These bees have nowhere to hide from extreme heat Scientists discover an earthquake gate as California faults reach their highest stress levels in 1,000 years A surprising discovery reveals the kidney has a secret backup system Ozempic and Wegovy linked to surprising drop in violent behavior A daily probiotic may help relieve depression and anxiety Could cosmic memory explain dark matter, dark energy, and black holes? 10 surprising ways diabetes and dementia are connected The first primates may have evolved in the cold, not the tropicsSpaceflight Now
NASA, Boeing committed to Starliner-1 launch despite unclear timeline SpaceX launches reentry capsule demo mission called ‘Starfall’ NASA’s Nancy Grace Roman Space Telescope arrives in Florida SpaceX launches 24 Starlink satellites on Falcon 9 rocket from Vandenberg SpaceX launches intelligence-gathering satellites for the National Reconnaissance Office Arianespace launches its heaviest payload to date with Amazon Leo flight SpaceX launches 3 Block 2 BlueBird satellites for AST SpaceMobile Astrobotic showcases Griffin-1 lander ahead of environmental testing in California SpaceX launches its first Falcon 9 rocket since Nasdaq debut SpaceX launches Starlink mission from Cape Canaveral as stock trades on the Nasdaq for first timeSpace Daily
We tend to think of Neanderthals as a species that went extinct, but a Princeton geneticist found evidence of three waves of interbreeding over 250,000 years, leading him to argue Neanderthals didn’t disappear — they were absorbed into us Water is the most valuable thing in space, not gold, not platinum, not any rare metal — because water can be split into rocket fuel anywhere sunlight reaches, which means the first company to mine it reliably in orbit won’t be selling to Earth at all, it will be selling to everyone else going further A battery does not store electricity in the way most people imagine — it stores chemical energy, and every time your phone turns on, it is harvesting a controlled imbalance between materials trying to trade electrons NASA’s Roman Space Telescope reaches Kennedy eight months ahead of schedule, with a Falcon Heavy launch now set for Aug. 30 Nikola Tesla wrote in 1900 that an automaton might one day appear to think for itself — the surprise is not that he predicted modern AI perfectly, but that he understood how quickly a machine that responds, adapts, and acts could begin to disturb the boundary between mechanism and mind A viral social media stat claims 70% of Gen Z and Millennials can’t relax because they were taught rest is wasteful — the number isn’t real, but the research behind it is You cannot tickle yourself, no matter how you try, because your brain predicts the touch of your own hand and cancels the sensation before you feel it A Russian cosmonaut named Sergei Krikalev has physically travelled further into the future than almost any other human being in history — across six spaceflights and 803 cumulative days at orbital velocity, Einstein’s theory of special relativity has made him approximately 0.02 seconds younger than other people his age Webb found a planet stretched into a lemon shape around a pulsar, with an atmosphere of carbon that seems to rule out every way we know of forming it Astronauts aboard the International Space Station can see flashes of light even with their eyes closed — not from light entering the eye, but from high-energy space particles passing through their body and triggering the retina or visual pathway directly.Space News
NASA’s inspector general warns launch sites nearing capacity Boeing wins $2 billion Space Force contract for communications satellites Commercial Space Federation (CSF) Welcomes New Associate Member Ubotica raises $11 million to scale maritime-intelligence platform Sophia selects Apex bus for on-orbit computing demonstration Loft Orbital to test AI models on spacecraft for Earth observation Satellogic partners with SynMax to build intelligence services around upcoming Merlin constellation China appears to be developing 7-meter-diameter reusable rockets Report: U.S. needs framework for responding to hostile acts in space NASA and Boeing still uncertain about when Starliner will return to flight Trump executive order directs NASA to plan quantum space applications Rocket Lab launches satellite for U.S. Space Force Victus Haze responsive space exercise Chinese spaceplane releases object into orbit, according to commercial space surveillance America is about to cede Africa’s space industry to China, and nobody’s talking about it. Astroscale raises funding to support growth strategy Astrobotic says sale to Voyager will allow it to scale up India’s Jio lays out sovereign LEO constellation plan ahead of IPO MDA Space to buy Blue Canyon Technologies to gain foothold in U.S. market ElevationSpace Secures US $40 Million in Series B Funding, Bringing Total Raised to US $63.5 Million Northrop Grumman says industry ready to scale solid rocket production, with longer contracts The MEO durability crisis: why LEO hardware will fail the new orbital economy NASA selects mission to study space weather interaction with Earth’s atmosphere Chinese university-led mission to study asteroid Apophis during close encounter with Earth Mu-g Technologies enters the parabolic flight businessMartin Fowler
Building Reliable Agentic AI Systems Fragments: June 16 Fragments: June 2 Fragments: May 27 The test suite as a regression sensor The VibeSec Reckoning Bliki: Vibe Coding Three more static code analysis sensors Maintainability sensors for coding agents Fragments: May 14 Bliki: Interrogatory LLM What is Code Fragments: May 5 Bliki: Mythical Man Month Fragments: April 29 Structured-Prompt-Driven Development (SPDD) Fragments: April 21 Fragments: April 14 Alan Turing play in Cambridge MA Fragments: April 9 Feedback Flywheel Principles of Mechanical Sympathy Fragments: April 2 Harness engineering for coding agent users Encoding Team Standards Bliki: Architecture Decision Record Context Anchoring Ideological Resistance to Patents, Followed by Reluctant Pragmatism Humans and Agents in Software Engineering Loops Design-First CollaborationEmbedded 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
One Sample, Infinite Movement: Building a Techno Instrument in Absynth 6 Elevate Artists Releases New Analysis of Global Electronic Music Trends UVI Rumble Review: A New Take on Bass Synthesis Inventing Your Own Patch From Scratch With Zebra 3 CRSSD Festival Reveals Lineup For Fall 2026 Return To San Diego Ten of the Best: Budget Drum Machines Under $500 Ableton Extensions SDK Turns Live Suite Into An Experimental Development Platform LabelWorx Unveils Elevate Funding Programme for Independent Labels Kaitlyn Aurelia Smith With London Contemporary Orchestra, Barbican Review What Happened At Boards of Canada’s “Inferno” Tokyo Listening SessionDJ TechTools
Farewell, Juno Download Midi Fighter Utility 2.91 Is Out; Our Biggest Update in Years Engine DJ 5.0: on-board stems on the System 1, RGB waveforms for everyone Devious Pocket: a €249 open-source DVS that ditches the laptop InMusic just bought Native Instruments. So what now for Traktor? The DJM-V5 from AlphaTheta: 3 channels, 4-band EQ, V10 sound – no Beat FX or crossfader. Traktor MX2: Native Instruments’ New 2-Channel Controller Akai Launches MPC Live III Standalone With 8-Core Processor, Clip Matrix, Stems, and 3D Pads