AI News

From Verdict to Process: Agentic Reinforcement Learning for Multi-Stage Fact Verification (arxiv.org)

ERTS: Adversarial Robustness Testing of Ethical AI via Semantic Perturbation in a Bounded Consequence Space (arxiv.org)

Physics-Guided Spatiotemporal Learning for Coastal Wave Peak Period Estimation from Video (arxiv.org)

ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement Learning (arxiv.org)

Can I Buy Your KV Cache? (arxiv.org)

IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing (arxiv.org)

A Quantitative Experimental Repeated Measures Study of Training Dynamics in a Small Llama Style Language Model Under a Compute-Aware Token Budget (arxiv.org)

MiniMax Sparse Attention (arxiv.org)

Optimizing Appliance Scheduling for Solar Energy Management Using Metaheuristic Algorithms (arxiv.org)

Evaluation Sovereignty in Metadata-Driven Classification: A Multi-Track Framework for Weakly Supervised Information Systems (arxiv.org)

Why Sampling Is Not Choosing: Intentionality, Agency, and Moral Responsibility in Large Language Models (arxiv.org)

CloudCons: A Comprehensive End-to-End Benchmark for Cloud Resource Consolidation (arxiv.org)

Uncertainty-Aware Hybrid Retrieval for Long-Document RAG (arxiv.org)

Is It You or Your Environment? A Bayesian Inference Framework for Genomically-Anchored Personalized Physiological Interpretation (arxiv.org)

A Three-Layer Framework for AI in Scientific Discovery (arxiv.org)

Multiagent Protocols with Aggregated Confidence Signals (arxiv.org)

Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch (arxiv.org)

Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday Reasoning (arxiv.org)

AgentBeats: Agentifying Agent Assessment for Openness, Standardization, and Reproducibility (arxiv.org)

Beyond Runtime Enforcement: Shield Synthesis as Defensibility Analysis for Adversarial Networks (arxiv.org)

Before You Think: System 0, AI-Mediated Cognition and Cognitive Colonization (arxiv.org)

EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery (arxiv.org)

Agents-K1: Towards Agent-native Knowledge Orchestration (arxiv.org)

Automated reproducibility assessments in the social and behavioral sciences using large language models (arxiv.org)

AI SciBrief as a Gateway to Research: A Framework for Onboarding Students into New Research Areas (arxiv.org)

GeoDial: A Multimodal Conversational Tutoring Dataset for Geometry Problem-Solving with Visual Tutor Turns (arxiv.org)

The AI Legal Specialist: A Juridically Autonomous Professional Profile for AI Governance (arxiv.org)

Eigenism: Ethics for a Human-AI Future (arxiv.org)

Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering (arxiv.org)

The Challenges of Balancing AI Compliance and Technological Innovations in Critical Sectors: A Systematic Literature Review (arxiv.org)

AI-Automation Tooling in Computer Engineering Education: Mixed-Methods TAM/UTAUT Evidence for a General Acceptance Attitude (arxiv.org)

An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration (arxiv.org)

Boosting Direct Preference Optimization with Penalization (arxiv.org)

Mapping AI Programs in the U.S: A Status Report from Early 2026 and an Analysis of AI Majors and Minors (arxiv.org)

Muse Spark Safety & Preparedness Report (arxiv.org)

Will AI Agents Free Us From Meaningless Work? A Human-Centered Analysis (arxiv.org)

Algorithmic Constitutionalism (arxiv.org)

Position: Generative Engine Optimization Creates Underexamined Risks, Governance Must Target Concentration, Disclosure, and Academic Blind Spots (arxiv.org)

Generativism: Toward a Learning Theory for the Age of Generative Artificial Intelligence (arxiv.org)

Reframing AI Loss of Control: What It Is, How to Have It, How to Lose It (arxiv.org)

Occupational Prompting Reveals Cultural Bias in Large Language Models (arxiv.org)

SAIGuard: Communication-State Simulation for Proactive Defense of LLM Multi-Agent Systems (arxiv.org)

Quickest Detection of Hallucination Onset: Delay Bounds and Learned CUSUM Statistics (arxiv.org)

Bag of Dims: Training-Free Mechanistic Interpretability via Dimension-Level Sign Patterns (arxiv.org)

ReCal: Reward Calibration for RL-based LLM Routing (arxiv.org)

Representing Time Series as Structured Programs for LLM Reasoning (arxiv.org)

Speculative Rollback Correction for Quality-Diverse Web Agent Imitation (arxiv.org)

Improving Crash Frequency Prediction from Simulated Traffic Conflicts Using Machine Learning Based Microsimulation (arxiv.org)

A Mathematical Theory of Value: a synthesis on goal-directed agency under resource constraints (arxiv.org)

Foresight: Iterative Reasoning About Clues that Matter for Navigation (arxiv.org)