AI News

Augmenting PID Control with Deep Reinforcement Learning: A Hybrid Approach to the Industrial Benchmark (arxiv.org)

A Synthetic Multivariate Refrigerator Time-Series Dataset for Predictive Maintenance (arxiv.org)

Can Coding Agents Reproduce Official Statistics? Metadata, Retry Budget and the Limits of Execution Feedback in a Controlled Eurostat Benchmark (arxiv.org)

Measuring the Checker: Mutation Analysis for GPU-Kernel Benchmark Oracles (arxiv.org)

Toollery: Scaling LLM Agents to Thousands of Skills and Tools (arxiv.org)

The Effect of Quantization on Clinical Benchmarks: Accuracy and Safety Across Model Families (arxiv.org)

TWIG: A Time-Causal Wavelet Operator for Autoregressive Forecasting on Irregular Graphs (arxiv.org)

User-Level Handover Decision Making Based on Machine Learning Approaches (arxiv.org)

Concurrency-Aware Process Model Forecasting with Causal Nets (arxiv.org)

Misaligned Clinical Risk Classification and Cost Asymmetry in Open-Weight Large Language Models (arxiv.org)

ShapeLex: Decoupling Local Shape Symbolization and Global Scale Modeling for Text-Controlled Time Series Generation (arxiv.org)

Graph-to-Grid (G2G): Continuous-Coordinate Feature Painting for Soccer Pass Surfaces (arxiv.org)

Q-DEQ: Discrete Solving and Quantization for Deep Equilibrium Models in Time Series Forecasting under Edge Deployment Coding Constraints (arxiv.org)

FlashBoB: I/O-Efficient Exact Backward-over-Backward for Softmax Attention (arxiv.org)

Reinforcement Learning under State and Outcome Uncertainty: A Foundational Distributional Perspective (arxiv.org)

SPeaR: Test-Time Adaptation with Steering Primitives for Realigning Representations (arxiv.org)

PAC-Bayesian Meta-Learning for Few-Shot Identification of Linear Dynamical Systems (arxiv.org)

CLOOPD: Closing the Learner Loop in On-Policy Distillation (arxiv.org)

Luck Is Not Skill: When Do Paired Rollouts Help Group-Relative RL of LLM Agents? (arxiv.org)

Mind or Message? Auditing Theory of Mind in Multi-Agent Social Simulation (arxiv.org)

Acceptance-Aware Draft Model Training for Speculative Decoding (arxiv.org)

Unlocking Pretrained Vision Transformers for Time Series Classification (arxiv.org)

GNN-based Path-aware multi-view Circuit Learning for Technology Mapping (arxiv.org)

ILRR: Inference-Time Steering Method for Masked Diffusion Language Models (arxiv.org)

CytoCrowd: A Multi-Annotator Benchmark Dataset for Cytology Image Analysis (arxiv.org)

Predicting magnetism with first-principles AI (arxiv.org)

From Trait Vectors to Circuits: Tracing Refusal and Sycophancy Through Language Models (arxiv.org)

Displacement Geometry Captures Platonic Shared Reality Across Models and Modalities (arxiv.org)

EAVer: Long-Form Factuality Verification as an End-to-End Agentic Policy (arxiv.org)

Adaptive Forgetting for Nonstationary Optimization: Towards Robust EEG Decoding (arxiv.org)

Feature Suppression and Differential Privacy for Residential Traffic Classification: A Two-Home Federated Study (arxiv.org)

Predicting Out-of-Distribution Generalization of Neural Operators via Observable Spectral Error Decomposition (arxiv.org)

Opinion Leader Dynamics: How Sparse Attention Shapes Token Clustering (arxiv.org)

RLVR$^{2}$: Reinforcement Learning with Verifiable Rubric-based Ranking (arxiv.org)

H-Spec: Parallel Speculative Decoding Without a Drafter-Side KV Cache (arxiv.org)

D-IMPL: A Diffusion-based Solver for Parameterized BBOs (arxiv.org)

PROSE: A Theory of Optimal Stopping with Perishable Evidence for Peer Selection in Intermittently Connected Decentralised Learning (arxiv.org)

Actionable Insights from Observational Data: The Case of Advanced Classes in K-12 Education (arxiv.org)

Robust Market Making with Hawkes Order Flow and Price Impact via Adversarial Reinforcement Learning (arxiv.org)

Adaptive Determinantal Client Scheduling in Federated Learning (arxiv.org)

From Regional to Global: Transfer Learning for Atmospheric Transport Emulators (arxiv.org)

The Evidence Ladder for Reinforcement Learning in Healthcare: From Retrospective Policies to Trusted Interventions (arxiv.org)

Preserving Geometric Integrity in Graph Prompting via Measure-Constrained Optimal Transport (arxiv.org)

Global Ranks Survive, Selected Heads Shift: BOS-Sink Topology under 4-bit Weight-Only Quantization (arxiv.org)

Cost-Aware Reinforcement Learning with Action Masking and Projection for Battery Energy Storage Dispatch under Suppressed-Spread Market Shifts (arxiv.org)

Physics-residual machine learning predicts oxygen-evolution catalyst activity beyond the training range from sparse polarization measurements (arxiv.org)

Bilinear Optimization Divergence: Diagnosing Factor-Constrained LoRA Continual Learning (arxiv.org)

ETH-TraceBench: A Large-Scale Event-Stream Benchmark for Ethereum DeFi under Temporal, Protocol, and Contract Shift (arxiv.org)

What Can a Recurrent State Safely Forget? (arxiv.org)

Predictors and Orchestrators: Parsimonious Machine Learning within an Agentic AI Harness for Multi-Horizon Karst Aquifer Forecasting (arxiv.org)