AI News

REA: From Correct LLM Judgments to Safe Decision Delivery (arxiv.org)

An FPGA-Based Spiking Neural Network for Spatiotemporal Pattern Learning and Classification (arxiv.org)

Large Language Models Extend Known Research But Do Not Create New Research Directions (arxiv.org)

Reading Right, Acting Wrong: Diagnosing Decision Failures of System One Models in Agent Loops (arxiv.org)

SchemaWeaver: Accelerating On-Device Mobile Agentic AI via Schema-Guided Parallel LLM Decoding (arxiv.org)

Agency as a New Organizing Abstraction for Computer Science (arxiv.org)

Generalizable field of view extension for diffusion MRI via conditional flow matching (arxiv.org)

Learning to Play: Reinforcement Learning and Games (arxiv.org)

EPOCH: Coverage-Aware Evolution with Experiential Preference Optimization for LLM-based Automated Heuristic Design (arxiv.org)

Get In, Decide, Prove: A Merchant-Side Readiness Benchmark for Agentic Commerce (arxiv.org)

What Makes a Latent Space Shared? Direct and Recoverable Compatibility in Motion VAEs (arxiv.org)

When Goals Leak Across Relationships: How Cached Goal Representations Shape Cross-Client Decisions (arxiv.org)

Beyond Black Boxes: Visual Grounding for Text Embeddings (arxiv.org)

Budgeted KV-Cache Repair for Evolving Contexts (arxiv.org)

Do Theorem Provers Need Theorem-Proving Agents? mini-Lean-agent: A Coding-Agent Baseline for Lean (arxiv.org)

Beyond Successful Play: Diagnosing Opponent Modeling in Large Language Models (arxiv.org)

Reliable Text-to-SQL in Resource-Constrained Settings with Small LLMs via Iterative Retry Workflows (arxiv.org)

The Agent Knew: Internal States Forecast Unauthorized Actions and Stop Them, and the Lies That Follow (arxiv.org)

Towards Resilience: Slice-Driven Orchestration of Mobile IoMT in 6G-Edge-Continuum (arxiv.org)

PhysCodeGym: Benchmarking Coding Agents for Physically Verifiable 4D Reconstruction (arxiv.org)

RL Post-Training Diffusion Language Models Along Their Own Generation Paths (arxiv.org)

Logit Leakage through Floating-Point Bias Addition (arxiv.org)

HASTE: Hierarchical and Attribute-aware Supervision for Generative Recommendation (arxiv.org)

claimcheck: Measuring and Improving Specification Faithfulness (arxiv.org)

Reasoning for Propaganda Detection via Label-Guided CoT Optimisation (arxiv.org)

On the Statistical Mechanics of Attention (arxiv.org)

Thinking Outside the Bots: Human Ideas in AI's Semantic Blind Spots Are Not Inferior (arxiv.org)

Joint Embedding with Dynamic Integration network (JEDI-net) (arxiv.org)

StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions (arxiv.org)

A Versatile Variational Quantum Kernel Framework for Non-Trivial Classification (arxiv.org)

AI Discovery in Combinatorics: From Problems to Solutions and Back to Bigger Problems (arxiv.org)

Making Language the Low-Rate Code of Vision: Successive Refinement from Words to Pixels (arxiv.org)

Overtaught, Underlearned: Learner-Centered Distillation from Multi-Agent Discussion (arxiv.org)

Does the Explanation Drift Before the Guarantee? Label-Free Early Warning on Evolving Graphs (arxiv.org)

Rule-based and reinforcement-learning policies for resource allocation in a pediatric echo lab: a simulation study (arxiv.org)

EAU: Environment-Agent-User Co-evolution for Training User-Centric Agents (arxiv.org)

Boosting the Learning for Ranking Patterns (arxiv.org)

PXRD-Bench: How Close Are We to Determining Crystal Structures from Powder Diffraction? (arxiv.org)

XAI-Guided Fourier Domain Generalisation for Pure-Simulation Sim-to-Real Deep Reinforcement Learning (arxiv.org)

RAP-WAM: Learning World-Action Models through Predictive Rehearsal and Action Perturbations (arxiv.org)

Hierarchical Residual Policy Learning for Real-World Mobile Manipulation with Sparse Human Guidance (arxiv.org)

Modeling and Understanding Neural Weights of Humanoid Policies with Diffusion (arxiv.org)

Co-Evolving Acting and Forecasting for Language Agents (arxiv.org)

Price of Anarchy of First-Price Auctions in Agentic Markets (arxiv.org)

Latent Compaction with Test-Time Training (arxiv.org)

PrismaCoder: Pushing the Boundaries of Open Multimodal Code Intelligence through Decomposed Rubric Synthesis (arxiv.org)

ActiveEvidence: Decision-Focused Evidence Graphs with Verifiable Acquisition Gaps (arxiv.org)

VASPO: Self-Distillation with Privileged Value Estimation (arxiv.org)

VascuSR: Iterative Anatomy-Aware Diffusion for CT Super-Resolution (arxiv.org)

The Anatomy of a Blind Spot: What an LLM Judge Must Be Shown, and How Much (arxiv.org)