AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchInGuard: Towards Generalized Inner Guardrail for Safe Text-to-Image Generation
arXiv:2609.27620v1 Announce Type: cross Abstract: Modern text-to-image (T2I) models generate high-quality images from arbitrary user prompts, yet they can just as easily produce not-safe-for-work (NSFW) content. Conventi…
- arXiv cs.AIagentsCompliant AI Infrastructure for Regulated Finance: A tiered multi-agent framework with DLT audit trails for financial operations in DACH
arXiv:2609.27632v2 Announce Type: replace-cross Abstract: We present a compliance-first architecture for AI in regulated finance that treats regulation as an orientation layer rather than a deterministic ruleset. A matri…
- arXiv cs.AIresearchLearning Local Heterogeneity and Cross-Region Context for Large-Scale Traffic Forecasting
arXiv:2609.27637v1 Announce Type: cross Abstract: Traffic flow forecasting is essential to intelligent transportation systems. Large-scale traffic forecasting requires jointly modeling local spatial dependencies and cros…
- arXiv cs.AIresearchInternW0: A Foundational Physical World Model for Efficient Real-World Interactions
arXiv:2609.27656v1 Announce Type: cross Abstract: Physical intelligence requires more than predicting how the world may evolve: predictions must remain actionable as the world continues to change. We introduce InternW0,…
- arXiv cs.AIresearchFLEET: From Logits Entropy to Enhanced Trajectories in Text Generation
arXiv:2609.27657v1 Announce Type: cross Abstract: Solutions based on large language models (LLMs) often rely on temperature sampling to improve accuracy and stability by aggregating multiple samples from the completion d…
- arXiv cs.AIresearchThe Path Matters: Evaluating Small Language Models Beyond Answer Accuracy in KGQA
arXiv:2609.27669v1 Announce Type: cross Abstract: Small language models (SLMs) are increasingly paired with knowledge graphs (KGs), yet end-to-end KG question answering conflates graph access, search, navigation, reasoni…
- arXiv cs.AIresearchAI-Driven Neural Surrogates for In Silico Design of Cognitive-Affective Neuromodulation Targets
arXiv:2609.27729v1 Announce Type: cross Abstract: In neuropsychiatry, the primary goal is often not only to decode brain activity but to change it, for example to lessen a negative affective bias or an overly salient mem…
- arXiv cs.AIresearchInfiNoVA: Infinite Novel View Augmentation for Viewpoint Invariant Robot Policies
arXiv:2609.27734v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) policies often rely strongly on the camera viewpoints seen during training, causing substantial performance degradation when deployed from un…
- arXiv cs.AIresearchHard Negatives Reveal What Easy Negatives Hide: Cross-Lingual Harmfulness Representations Degrade with Resource Tier Under Hard Negatives
arXiv:2609.27758v1 Announce Type: cross Abstract: Safety alignment in large language models is trained primarily in English, and recent work reports that the underlying harmfulness representation survives translation: En…
- arXiv cs.AIresearchBackdoors Leave Structural Traces: FedMAST for Backdoor Detection and Containment in Federated Learning
arXiv:2609.27760v2 Announce Type: replace-cross Abstract: Federated learning enables distributed training without requiring clients to share their raw data. However, its reliance on the integrity of the client-submitted…
- arXiv cs.AIagentsBeyond Unsafe Detection: Counterfactually Anchored Evidence Attribution for Multi-Turn LLM Safety Failures
arXiv:2609.27773v2 Announce Type: replace-cross Abstract: As Large Language Models (LLMs) move from conversational assistants to advanced agentic systems, guardrail failures can convert adversarial intents into harmful e…
- arXiv cs.AIresearchEidosDoc: Implicit Structure Encoding for Cost-Effective Semi-Structured Document QA
arXiv:2609.27784v1 Announce Type: cross Abstract: Semi-structured documents are ubiquitous in scientific reports, financial statements, and technical manuals. Question answering over such documents requires simultaneous…
- arXiv cs.AIagentsLabourCrew: A Multi-Agent RAG Framework for Trustworthy Adversarial Deliberation and Statutory Reasoning over Labour Law
arXiv:2609.27814v1 Announce Type: cross Abstract: In statutory question answering, every claim must be traceable to evidence, not merely relevant, since unverifiable labour-rights answers carry serious legal consequences…
- arXiv cs.AIresearchEvaluating ADC-only deep learning pipelines for breast cancer detection and segmentation using standalone diffusion-weighted MRI
arXiv:2609.27815v1 Announce Type: cross Abstract: Dynamic contrast-enhanced (DCE) imaging is the gold standard technique for the detection and characterization of breast cancer using magnetic resonance imaging (MRI). How…
- arXiv cs.AIresearchSafe Multi-Robot Coordination via VLM-LLM Reasoning and Reachability Analysis
arXiv:2609.27816v1 Announce Type: cross Abstract: Safe coordination in heterogeneous machine-to-machine (M2M) robotic systems is challenging when robots differ in sensing capabilities, environmental awareness, and motion…
- arXiv cs.AIresearchA Non-Invasive Cloud-Based Migration Strategy for Post-Quantum Cybersecurity in Smart HVAC Systems: Architecture, Implementation, and Empirical Evaluation
arXiv:2609.27828v1 Announce Type: cross Abstract: Legacy smart HVAC controllers rely on vendor-cloud TLS secured by ECDH and RSA, both broken by Shor's algorithm, and typical 10-15 year lifespans mean today's devices rem…
- arXiv cs.AIresearchQuery Implied Generative Engine Optimization
arXiv:2609.27845v1 Announce Type: cross Abstract: The landscape of search has changed drastically with how people look for information online. Traditional search engines are being replaced by Generative Search Engines (G…
- arXiv cs.AIresearchWhat Changed? Drift Detection with Real, Virtual, and Incomparable Diagnosis
arXiv:2609.27865v1 Announce Type: cross Abstract: Sharing a deep encoder does not, by itself, fix the central confound of task-comparison scores. We show that cross-evaluated heads on a frozen shared representation inher…
- arXiv cs.AIresearchA Shared Encoder Is Not a Shared Task: Conditional Comparison for Deep Expert Pools
arXiv:2609.27866v1 Announce Type: cross Abstract: Sharing a deep encoder does not, by itself, fix the central confound of task-comparison scores. We show that cross-evaluated heads on a frozen shared representation inher…
- arXiv cs.AIresearchTopoGS: Topology-Aware Anchor Feature Aggregation for Large-Scale 3D Gaussian Splatting
arXiv:2609.27868v1 Announce Type: cross Abstract: Octree-based 3D Gaussian Splatting organizes anchors into multi-level hierarchies for level-of-detail rendering, but features at different levels are typically optimized…
- arXiv cs.AIagentsBounded Loops: Pre-Run Spend Bounds, Proved Termination, and Verified Completion for Agent Harnesses
arXiv:2609.27871v1 Announce Type: cross Abstract: In mainstream agent frameworks, a step ends when the agent's own output says it has finished. Durable-execution platforms bound retries and time, but their checker conven…
- arXiv cs.AIagentsFalse-science induction in autonomous scientific discovery
arXiv:2609.27883v1 Announce Type: cross Abstract: Closed-loop discovery systems increasingly execute experiments and update decisions autonomously, turning record integrity into part of the experimental apparatus. We sho…
- arXiv cs.AIresearchRelCheck: Dual-Evidence Spatial Grounding for VLM Hallucination Correction
arXiv:2609.27890v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) fre- quently generate text that is inconsistent with the input image. While object- and attribute-level hallucinations have recei…
- arXiv cs.AIagentsSchr\"odinger's Code Repository: Have LLMs Learned SWE-bench or Memorized It?
arXiv:2609.27891v1 Announce Type: cross Abstract: Repository-level coding benchmarks have become the standard for evaluating coding agents, yet they inherently suffer from data leakage because they are built upon popular…
- arXiv cs.AIresearchSpread and Scale: What Determines Whether Test-Time Budget Allocation Pays
arXiv:2609.27917v1 Announce Type: cross Abstract: Neural combinatorial optimization solvers generate many candidate solutions per instance and report the best one found, using the same sample budget for every instance re…
- arXiv cs.AIresearchRiemannian Structure and Optimization for a Class of Low-Parametric Orthogonal Matrices
arXiv:2609.27982v1 Announce Type: cross Abstract: In this paper, we are concerned with matrices formed by block-diagonal factors interleaved with fixed permutations -- a flexible family of structured matrices. This class…
- arXiv cs.AIagentsCompliant with Local Controls, Collectively Discriminatory. A Governance Architecture for Multi-Agent AI in Regulated Finance
arXiv:2609.27994v1 Announce Type: cross Abstract: Financial institutions are beginning to deploy agentic workflows in credit, fraud, collections, compliance, and operational control. Governance remains largely component-…
- arXiv cs.AIresearchControlled Attribute-Specific Summarization of Interrogative Dialogues
arXiv:2609.28004v1 Announce Type: cross Abstract: Effective summarization of interrogative dialogues is a critical task in forensic and investigative settings, requiring high factual accuracy, coherence, and attribute-sp…
- arXiv cs.AIresearchPISCES: Physics-Informed Solar-wind Convolutional autoEncoder for Space-weather Anomaly Detection and Early Warning
arXiv:2609.28022v1 Announce Type: cross Abstract: Space weather early warning depends on detecting solar wind transients in in-situ measurements at the first Sun-Earth Lagrange point (L1), before they reach Earth. Fixed…
- arXiv cs.AIresearchEvaluating Feedback Focus and Pedagogical Adaptivity in LLM-Generated Feedback on Student Writing
arXiv:2609.28026v1 Announce Type: cross Abstract: We investigate whether state-of-the-art large language models (LLMs) generate feedback that reflects the pedagogical practices of expert teachers in terms of feedback foc…
- arXiv cs.AIresearchTEMPS: Temporal Sentence Embeddings for Temporal Information Retrieval
arXiv:2609.28048v1 Announce Type: cross Abstract: Modern information retrieval (IR) systems rarely represent time, yet many information needs depend on it: in clinical, journalistic, and legal search, when an event occur…
- arXiv cs.AIresearchPrompt, Probe, Train, or Annotate? Single-camera sports video understanding in amateur settings
arXiv:2609.28049v1 Announce Type: cross Abstract: Video understanding is usually benchmarked on curated, single-actor, or professionally filmed clips, and a strong score there is routinely read as evidence a model is rob…
- arXiv cs.AIresearchCurriculum Learning with GNN-based Reinforcement Learning for Job Shop Scheduling
arXiv:2609.28085v1 Announce Type: cross Abstract: The job shop scheduling problem is a challenging combinatorial optimization problem, and recent reinforcement learning approaches using graph neural networks have shown p…
- arXiv cs.AIresearchLAYERSCOPE: A Layerwise Characterization of Video and Multimodal Learned Representations
arXiv:2609.28086v2 Announce Type: replace-cross Abstract: We propose LAYERSCOPE, a label-free, layerwise framework that aims to characterize a model's learned representations in video and multimodal settings. Evaluating…
- arXiv cs.AIresearchCan LLMs Catch a Rigged Backtest? A Clean-Control Calibration Benchmark
arXiv:2609.28090v1 Announce Type: cross Abstract: Backtest auditing is a calibration problem: high flaw recall is not useful when the model falsely flags matched clean strategies. We build a 96-item paired benchmark in w…
- arXiv cs.AIresearchFed-ReMasker: Federated Tabular Imputation under Feature-Level Missingness
arXiv:2609.28105v1 Announce Type: cross Abstract: Multi-center clinical studies and biomedical research collaborations increasingly seek to utilize data across centers to build models that generalize beyond any single ce…
- arXiv cs.AIresearchDistillation for Efficient Multitask Manipulation Policies via Conditional Flow Matching
arXiv:2609.28107v2 Announce Type: replace-cross Abstract: Advances in generative modeling have recently been extensively employed in robotics for policy learning. In particular, Conditional Flow Matching (CFM) trained wi…
- arXiv cs.AIresearchField-of-View Extension in Dental Cone-Beam CT via Implicit Neural Representations and Diffusion Model-Based Refinement
arXiv:2609.28110v1 Announce Type: cross Abstract: Dental cone-beam computed tomography (CBCT) systems often employ detector configurations that provide a truncated field of view (FOV) that only captures a small part of t…
- arXiv cs.AIresearchScaling Attention Head Analysis via Gradient-Based Attribution in Context-Aware Machine Translation
arXiv:2609.28117v1 Announce Type: cross Abstract: In this paper, we introduce a gradient-based head attribution strategy where the Token-level Max-Margin loss is backpropagated to the attention maps. This framework enabl…
- arXiv cs.AIresearch"We'll Fix It Later": Education, AI, and the Deferral of Privacy in EdTech
arXiv:2609.28137v1 Announce Type: cross Abstract: Educational technology (EdTech) platforms collect highly sensitive student data, including behavioral logs, disability records, and academic histories. However, privacy c…
- arXiv cs.AIagentsFrom Agent Output to Authorized Transition
arXiv:2609.28216v1 Announce Type: cross Abstract: Agentic engineering systems can edit repositories, run tools and tests, build firmware, synthesize schematics, and prepare deployable or manufacturable artifacts. The ass…
- arXiv cs.AIresearchDo Center Biases Propagate? Robustness of Pathology Foundation Models in Whole-Slide Image Classification
arXiv:2609.28231v1 Announce Type: cross Abstract: Pathology foundation models (PFMs) have transformed computational pathology through powerful representation learning from histopathological images. PFMs provide rich, dis…
- arXiv cs.AIresearchBeyond Poetry: Can Large Language Models Generate Classical Arabic Maqamat?
arXiv:2609.28245v1 Announce Type: cross Abstract: Large language models (LLMs) have shown strong performance in creative text generation, yet their ability to produce culturally grounded and stylistically constrained lit…
- arXiv cs.AIagentsControlling Collectives of AI Agents in Reasoning Space with Spatial Transformers
arXiv:2609.28247v1 Announce Type: cross Abstract: Large Language Models (LLMs) introduce an exciting new paradigm for planning and navigation in robotics, but fail on even simple multi-robot tasks as team sizes grow. We…
- arXiv cs.AIresearchMemBodied: Recurrent Associative Memory for Vision-Language-Action Models
arXiv:2609.28256v1 Announce Type: cross Abstract: Vision-Language-Action models provide a strong foundation for general-purpose robot control, yet a vast majority of policies do not preserve and leverage episode-level in…
- arXiv cs.AIresearchMicroQonv: Reshaping Convolution Tensors for Efficient Microscaling in Training and Inference
arXiv:2609.28358v1 Announce Type: cross Abstract: Microscaling quantization techniques are increasingly used to represent neural network parameters with 8 bits or fewer while preserving near-full precision accuracy. Howe…
- arXiv cs.AIagentsAnchorReasoning: A Visual Grounding and Causal Reasoning Dataset in Long-Tail Autonomous Driving Scenarios
arXiv:2609.28366v1 Announce Type: cross Abstract: Vision-language models (VLMs) offer a promising approach to long-tail autonomous driving, but existing driving datasets provide limited supervision for connecting decisio…
- arXiv cs.AIagentsShopping by algorithm: How agentic AI deploys human heuristics as a surrogate consumer
arXiv:2609.28372v2 Announce Type: replace-cross Abstract: Consumers increasingly delegate purchasing decisions to Large Language Models (LLMs) acting as surrogate consumers. Using "Tool-Lab," an adaptation of information…
- arXiv cs.AIresearchWhen and Where to Trust the Teacher: Unifying On-Policy Distillation and GRPO through Entropy-Calibrated Credit Assignment
arXiv:2609.28385v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) supervises mathematical reasoning through final-answer correctness, but provides little guidance on individual token…
- arXiv cs.AIresearchLearning Holographic Reduced Representations with Clifford Variational Autoencoders
arXiv:2609.28409v1 Announce Type: cross Abstract: Vector Symbolic Algebras project data structures into a hyperdimensional vector space through the application of their vector algebras to randomly generated atomic vector…