AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchBlind Thermodynamic Ontology Discovery from Anonymous Experiments
arXiv:2609.23387v2 Announce Type: replace-cross Abstract: Before a machine learning model can learn a thermodynamic equation of state, it must discover what its measurements represent: which channels scale with system si…
- arXiv cs.AIresearchEnhancing Shrimp Disease Detection via Deep Learning and Data Refinement for Resilient Aquaculture
arXiv:2609.23397v1 Announce Type: cross Abstract: Shrimp diseases continue to cause devastating losses in the aquaculture industry, driving a critical need for robust, automated detection. This work contributes the first…
- arXiv cs.AIagentsOmniEcho: Audio-Visual Spatial Understanding for Omni-Modal Embodied Agents
arXiv:2609.23407v2 Announce Type: replace-cross Abstract: Humans can effortlessly localize the direction of a sound source and integrate it with visual cues for reasoning, yet this remains challenging for embodied agents…
- arXiv cs.AIresearchBeyond PUE: A Local Impact Audit Framework for Data Center Environmental Accountability
arXiv:2609.23421v1 Announce Type: cross Abstract: Standard data center sustainability metrics, including Power Usage Effectiveness (PUE), Water Usage Effectiveness (WUE), and Carbon Usage Effectiveness (CUE), measure a f…
- arXiv cs.AIresearchRiverVLN: Phase-Grounded Temporal Vision--Language Navigation for Unmanned Surface Vehicles
arXiv:2609.23423v1 Announce Type: cross Abstract: Vision-language navigation (VLN) has largely been developed for indoor and terrestrial robots, where language can often be treated as a static goal and motion is approxim…
- arXiv cs.AIresearchPhysReflect: Geometry and Perception Guided Diffusion for Physically-Plausible Mirror Reflections
arXiv:2609.23442v1 Announce Type: cross Abstract: Diffusion models generate high-quality images, yet often violate the physical laws governing mirror reflections. Reflections often suffer from geometric aberrations, incl…
- arXiv cs.AIagentsWaveletECO: A Closed-Loop Physical ECO Platform and a Specialized Local Language Model
arXiv:2609.23444v1 Announce Type: cross Abstract: Engineering change order (ECO) is an important step in repairing timing and electrical violations during the late stages of chip design. Existing Agentic EDA methods prim…
- arXiv cs.AIresearchRLVR$^{2}$: Reinforcement Learning with Verifiable Rubric-based Ranking
arXiv:2609.23457v2 Announce Type: replace-cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) is expanding from tasks with well-defined correctness signals, such as mathematics and code, toward multifac…
- arXiv cs.AIagentsPropose, Verify, Commit: Evidence-Grounded Memory for Long-Horizon Multi-Actor Conversations
arXiv:2609.23465v2 Announce Type: replace-cross Abstract: Memory enables language model agents to use information beyond their context windows, but maintaining and accessing this information reliably remains difficult. L…
- arXiv cs.AIagentsRPMem: Learning Long-Term Recurrent Parametric Memory Across Sessions for LLM Agents
arXiv:2609.23466v2 Announce Type: replace-cross Abstract: Long-running LLM agents require memory that persists and evolves across sessions. Text-based memory retrieves and reconstructs past interactions at every query, m…
- arXiv cs.AIagentsCE$^4$L: Continual Ego, Exo, and Ego-Exo Learning
arXiv:2609.23492v1 Announce Type: cross Abstract: Perception for embodied agents is video-based, often multi-view (ego, exo, or both), and inherently continual, with simultaneous task and viewpoint shifts. Yet continual…
- arXiv cs.AIresearchHeating in human-HVAC interaction for smart homes: An interdisciplinary overview
arXiv:2609.23508v1 Announce Type: cross Abstract: As part of HVAC systems, residential heating provides foundational infrastructure for human habitation in cold weather. However, research on how residents interact with H…
- arXiv cs.AIresearchPredicting Out-of-Distribution Generalization of Neural Operators via Observable Spectral Error Decomposition
arXiv:2609.23529v1 Announce Type: cross Abstract: Neural operators have emerged as powerful surrogates for solving partial differential equations (PDEs), yet their reliability under distribution shift remains a critical…
- arXiv cs.AIagentsSemDHT: Certified Semantic Discovery for Peer-to-Peer Agent Networks over Exact-Key DHTs
arXiv:2609.23539v1 Announce Type: cross Abstract: Agents may need capabilities exposed through external agent endpoints or service APIs. When a requester is not already bound to a provider, it must discover advertised ca…
- arXiv cs.AIresearchPhysics-residual machine learning predicts oxygen-evolution catalyst activity beyond the training range from sparse polarization measurements
arXiv:2609.23549v2 Announce Type: replace-cross Abstract: Discovery campaigns for oxygen evolution reaction catalysts repeatedly choose, make and measure catalysts. High-throughput platforms stop polarization curves belo…
- arXiv cs.AIagentsModeling Clinical Workflow for SYNTAX Scoring from Coronary Angiography Videos
arXiv:2609.23553v1 Announce Type: cross Abstract: The SYNTAX score is a clinically established tool for assessing anatomical lesion complexity in coronary artery disease and guiding subsequent treatment. However, automat…
- arXiv cs.AIresearchMaskVLA: Visual Masking Against Trajectory Overfitting of Vision-Language-Action Model
arXiv:2609.23565v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models integrate vision-language understanding with executable robot actions, enabling end-to-end learning for robot control. However, our em…
- arXiv cs.AIresearchARID: A Deployable Edge AI System for Structured Information Extraction from Industrial Maintenance Work Orders
arXiv:2609.23582v1 Announce Type: cross Abstract: Maintenance work orders must often be processed offline on embedded hardware, yet downstream software requires predictable structured output. We present ARID (Aviation-in…
- arXiv cs.AIresearchOn the Efficiency-Safety Dilemma in Large Reasoning Models
arXiv:2609.23587v1 Announce Type: cross Abstract: Large reasoning models (LRMs) incur high inference costs, often mitigated by efficiency techniques like quantization and pruning. However, the impact of these techniques…
- arXiv cs.AIresearchListen Then Reason: Perception-Grounded Test-Time Reinforcement Learning for Large Audio-Language Models
arXiv:2609.23589v1 Announce Type: cross Abstract: Large audio-language models (LALMs) are increasingly used for a broader range of audio reasoning tasks. These models typically incorporate audio representations into a la…
- arXiv cs.AIresearchCost-Aware Reinforcement Learning with Action Masking and Projection for Battery Energy Storage Dispatch under Suppressed-Spread Market Shifts
arXiv:2609.23590v1 Announce Type: cross Abstract: Battery energy storage system (BESS) dispatch must preserve operational feasibility while declining price spreads reduce the margin available to pay for cycling. We study…
- arXiv cs.AIresearchStyleAT: Defending Face Recognition Against Semantic Attacks
arXiv:2609.23596v1 Announce Type: cross Abstract: With face-recognition models now embedded in everyday authentication and surveillance, recent works have pinpointed a critical weakness: these models remain acutely vulne…
- arXiv cs.AIresearchPETR: Prompt Ensembling with Training-free Routing for Vision-Language Models
arXiv:2609.23600v1 Announce Type: cross Abstract: Prompt learning efficiently adapts vision-language models (VLMs) to downstream tasks, but gains on seen classes often come at the expense of generalization to unseen clas…
- arXiv cs.AIresearchPREM: Prefix-Steered Recurrent Memory for Long-Video Understanding
arXiv:2609.23601v1 Announce Type: cross Abstract: Long-video understanding must capture transient visual evidence under strict token budgets, yet existing methods compress frames, append memory tokens, or alter internal…
- arXiv cs.AIagentsSpiking Neural Network Actor-Critic Proximal Policy Optimization Control for Autonomous UAV Navigation Through Constrained Openings in Civil Infrastructure and Buildings
arXiv:2609.23643v1 Announce Type: cross Abstract: Autonomous navigation of unmanned aerial vehicles in constrained three-dimensional environments has been a challenge in the robotics domain. The application of autonomous…
- arXiv cs.AIresearchDo Language Models Need Music Supervision? Verifiable Rewards for Multi-Constraint Symbolic Music Generation
arXiv:2609.23665v3 Announce Type: replace-cross Abstract: Language models can now generate symbolic music from natural-language instructions. However, existing models still struggle to satisfy multiple explicit musical c…
- arXiv cs.AIresearchSmoothed Analysis of Inconsistent A*
arXiv:2609.23680v1 Announce Type: cross Abstract: The A* search is a fundamental path-finding algorithm in artificial intelligence. While admissible and consistent heuristics guarantee efficient performance by expanding…
- arXiv cs.AIresearchA multi-temporal dataset for mapping burned areas in the Brazilian Cerrado using time series of remote sensing imagery
arXiv:2609.23687v1 Announce Type: cross Abstract: This paper introduces a multi-temporal tabular dataset derived from satellite images to map burned areas in the Chapada dos Veadeiros National Park, in Goi\'as, Brazil, c…
- arXiv cs.AIresearchTail-Weight Control and Localized Generalization in Nearly Low-Rank Adversarial Classification
arXiv:2609.23688v3 Announce Type: replace-cross Abstract: Empirical ramp fitting can assign weight to pure-noise features even when the population optimum ignores them. We quantify this gap for norm-constrained adversari…
- arXiv cs.AIagentsWhen the Agent Becomes the Kernel: A Systematization of Security on the Path to AI-Native Operating Systems
arXiv:2609.23700v1 Announce Type: cross Abstract: Large language model agents are now privileged principals that take consequential actions: editing code repositories, operating inboxes, completing purchases. Their autho…
- arXiv cs.AIresearchSTEVE: Stabilizing Textual Gradient-Based Prompt Optimization via Error-Driven Refinement and Regularized Verification
arXiv:2609.23716v1 Announce Type: cross Abstract: Textual-gradient methods automate prompt optimization through natural-language feedback, but their iterative updates can be unstable. We identify two sources of this inst…
- arXiv cs.AIresearchGRACE: Grounded Adversarial Reasoning over Canadian Law
arXiv:2609.23726v1 Announce Type: cross Abstract: Large language models have shown strong performance across a range of legal tasks, but existing benchmarks rarely evaluate the ability to take and defend a legal position…
- arXiv cs.AIresearchTriFleetRCA: On-Premise LLM Root Cause Analysis for Kubernetes
arXiv:2609.23766v1 Announce Type: cross Abstract: Root cause analysis at a remote site is slow: evidence is scattered across pod logs, Kubernetes events and cluster-level objects, and many operators cannot send productio…
- arXiv cs.AIresearchBelted Engression: Sufficient Dimension Reduction for Generative Distributional Regression
arXiv:2609.23789v1 Announce Type: cross Abstract: Modern conditional generative models face significant challenges when learning complex covariate dependencies. While sufficient dimension reduction (SDR) provides a princ…
- arXiv cs.AIagentsFLARE: A Full-Lifecycle Dense Supervision Paradigm for Long-Horizon Coding Agents via Generative Reward Model
arXiv:2609.23808v1 Announce Type: cross Abstract: While test-time scaling enhances Large Language Model (LLM) agents in long-horizon software engineering (SWE), sparse binary rewards (Pass/Fail) create a severe credit as…
- arXiv cs.AIresearchFederated Multilingual Speech-LLMs: Architecture and Aggregation Strategy Benchmarking
arXiv:2609.23825v1 Announce Type: cross Abstract: We present a comprehensive benchmark of Federated Learning (FL) for multilingual Automatic Speech Recognition (ASR), evaluating four Speech-LLM architectures on the Multi…
- arXiv cs.AIresearchFrom UNDRR Reports to Event Records: Schema-Constrained LLM Extraction of Georeferenced Disasters
arXiv:2609.23853v1 Announce Type: cross Abstract: Disaster-risk-reduction archives describe hazard events in prose that databases such as EM-DAT (Delforge et al., 2025) cannot ingest directly. We present an LLM pipeline…
- arXiv cs.AIagentsVISTA: An Attention-Based Multi-Agent Reinforcement Learning Architecture for Space Situational Awareness Sensor Tasking
arXiv:2609.23875v1 Announce Type: cross Abstract: The rapid growth of resident space objects is increasing the complexity of space situational awareness sensor tasking, challenging classical optimization methods as they…
- arXiv cs.AIresearchGLR-MM: Graph-Based Global-Local Reconstruction for Robust Multimodal Chest X-ray and EHR Representation Learning under Missing Modalities
arXiv:2609.23876v1 Announce Type: cross Abstract: Clinical multimodal models must often predict before all chest X-ray (CXR) and electronic health record (EHR) inputs are available. Existing approaches align observed rep…
- arXiv cs.AIresearchSyzHarness: Patch-Based Kernel Bug Reproduction with LLM-Synthesized Fuzzing Harnesses
arXiv:2609.23889v3 Announce Type: replace-cross Abstract: Automated kernel vulnerability reproduction is essential for bug triage, patch validation, and regression testing, but still lacks an effective and efficient solu…
- arXiv cs.AIresearchCircuit-Diff: Factual Edit-based Intervention Method for Localizing Knowledge in Attribution Graphs
arXiv:2609.23892v1 Announce Type: cross Abstract: Mechanistic interpretability defines features as the fundamental units of a neural network and circuits as the weighted subgraphs that carry out its computation. Because…
- arXiv cs.AIagentsConnecting the Dots in Agentic AI Security: A Cross-Dimensional Threat Taxonomy, Evaluation Maturity, and Open Challenges
arXiv:2609.23894v1 Announce Type: cross Abstract: Agentic AI extends LLM security beyond generated content to persistent state, autonomous actions, tool use, and interactions with humans and other agents. Existing threat…
- arXiv cs.AIresearchReVeal: A Reconstruction-Aware Real-to-Sim Framework for VLA Policy Evaluation
arXiv:2609.23910v1 Announce Type: cross Abstract: Simulation-based evaluation provides a scalable and repeatable alternative to real-world evaluation of vision-language-action (VLA) policies. However, reconstruction erro…
- arXiv cs.AIagentsMCPGen: Benchmarking LLMs on Executable MCPWorkflow Development
arXiv:2609.23925v1 Announce Type: cross Abstract: We study whether LLMs can produce executable workflow artifacts that remain consistent across graph structure, tool implementation, schema bindings, and runtime wiring. I…
- arXiv cs.AIresearchHaikuS2S: A Cascaded System For Responding In Verse
arXiv:2609.23951v1 Announce Type: cross Abstract: Expressive speech synthesis has advanced through prosody modeling, yet generating structured poetic speech, such as haiku, remains challenging. Prior work on prosody tran…
- arXiv cs.AIresearchDjinnlang: Higher-Level Programming by Unambiguous Specification with an LLM in the Compiler
arXiv:2609.23954v1 Announce Type: cross Abstract: Programmers write formal specifications, and LLMs implement them, proving that each implementation matches its spec. Taken to its extreme, this makes specification langua…
- arXiv cs.AIagentsMobileCybench: Evaluating Agent Vulnerability Discovery via Executable Probes
arXiv:2609.23980v1 Announce Type: cross Abstract: AI agents now report vulnerabilities faster than maintainers can review them. Reports often depend on security properties specific to the application, and require conside…
- arXiv cs.AIresearchRoboTalk: Learning Multi-Robot Communication and Coordination from Multimodal Demonstrations
arXiv:2609.23997v2 Announce Type: replace-cross Abstract: Multi-robot collaboration could enable more efficient and scalable solutions to complex robotic tasks, but collaboration under partial observability remains chall…
- arXiv cs.AIresearchMisaligned Clinical Risk Classification and Cost Asymmetry in Open-Weight Large Language Models
arXiv:2609.23999v3 Announce Type: replace-cross Abstract: How large language models (LLMs) integrate patient risk with clinical cost tradeoffs remains poorly understood. We investigated how four open-weight LLMs (Qwen-2.…
- arXiv cs.AIresearchInterHier: Learning Interconnected Hierarchical Semantics for Open-Vocabulary Object Detection
arXiv:2609.24026v1 Announce Type: cross Abstract: In this paper, we investigate the limitations of fixed, hand-crafted connectors in hierarchical semantic representations for open-vocabulary object detection. Existing me…