AI News

Generalizing Identifiability Results in Causal Discovery from Complete Data to Missing Data Settings (arxiv.org)

Wong--Zakai Convergence and FNO Learning for Stochastic Volterra Equations (arxiv.org)

Bayesian Causal Forests for Zero-Inflated Continuous Outcomes (arxiv.org)

A Large-Dimensional Analysis of Least-Squares Federated Learning via Generalized Total Variation Minimization (arxiv.org)

On Global Joint Lower Bounds in Zeroth-Order Nonconvex Optimization (arxiv.org)

Large-Step Last-Iterate Convergence of Random-Reshuffling Stochastic Gradient Descent (arxiv.org)

Posterior Frequencies and the Cost of Not Fitting: A Correction to a Memorization Lower Bound (arxiv.org)

A dataset of formalised theorem statements from the Annals of Mathematics (arxiv.org)

Model What Matters: Decision-Guided Selective World Modeling for Language Agents (arxiv.org)

HACHIMI-II: From Role-Play to Learner Behavior Modeling for Faithful Student Simulation (arxiv.org)

MCAIR: Monitoring and Correcting Agent Unfaithfulness via Internal Representations (arxiv.org)

Learning Individual Scientific Taste with Privileged Hindsight Distillation (arxiv.org)

Non-asymptotic Convergence of Average-reward Q-learning with Options (arxiv.org)

Articulation Upper Bounds for Language Models (arxiv.org)

Discriminative Score Function: Turning Pretrained Models into Functional Generative Priors (arxiv.org)

More Methods, Better Agents? A Reality Check on Self-Distillation in Agentic Reinforcement Learning (arxiv.org)

StateCraft: Augmenting Video World Models with Abstract-State Reasoning (arxiv.org)

Average-Reward Policy Identification from a Single Continuing Trajectory (arxiv.org)

Knowledge Interaction in Hypernetwork-based Continual Learning: Conflict and Composition (arxiv.org)

FARL: A Fully Automated Pipeline of RL Interface and Solver Design (arxiv.org)

SpecForge: Recursive Self-Improvement for Coding Agents via Behavioral Specifications (arxiv.org)

Suggested Is Not Superseded: A Pre-Registered Evaluation of a System-One Model as a Memory-Retirement Gate (arxiv.org)

MedHarnessBench: A Unified Benchmark for Healthcare Agent Evaluation (arxiv.org)

History Replays Itself: Unleashing Long-Context Capability in Linear Attention (arxiv.org)

Visible but Not Avoided: State-Dependent Re-Proposal of Rejected Candidates in Catalog-Based LLM Optimization Loops (arxiv.org)

Google Earth AI Geospatial Reasoning Agent: Capabilities and a Systematic Evaluation (arxiv.org)

ReproBAIT: Can coding agents build their own biological AI tools? (arxiv.org)

JointServe: Serving Multi-Model Agents on Memory-Constrained GPUs (arxiv.org)

Into the Unknown: Benchmarking AI agents on open scientific research problems (arxiv.org)

Agent Sociodrama: Social-Dynamics-Guided Persona Recasting for LLM Agent Teams (arxiv.org)

Passing Tests, Missing Semantics: Evidence of Interpretive Lock-In in Plan-Based DataFrame Code Generation (arxiv.org)

Attention Sinks in VLMs Are Borrowed, Not Seen (arxiv.org)

Engram Injection: A Study of Temporal Validity in Parametric Language-Model Memory (arxiv.org)

RetryBench: Separating Retry Permission from Recovery Outcomes in GPT Tool Use (arxiv.org)

Comparative Study of Canvas- and Coordinate-Based Geometry-Conditioned Neural Networks for Real-Time Prediction of Indoor Environments with Varying Room Dimensions (arxiv.org)

LURE: a Phase-Labelled Synthetic Corpus of Online-Grooming Exchanges (arxiv.org)

Multi-Horizon Explainable Queue Forecasting and Resource-Aware Decision Support for Intelligent Border Control Using LightGBM (arxiv.org)

Protein Crystallization Segmentation and Classification Using Subordinate Color Channel in Fluorescence Microscopy Images (arxiv.org)

Co-DSL: Human-LLM Co-design of Reusable Spatial Concepts for Layout Generation (arxiv.org)

HGA-Quant: Heterogeneity-Aware Quantization for AutoRegressive Visual Generation Models (arxiv.org)

From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs (arxiv.org)

WisdomNet: trustable machine learning toward error-free classification (arxiv.org)

Accuracy and Uncertainty in Machine Deception Detection (Research White Paper) (arxiv.org)

Anchor-and-Harvest Curriculum: A Fully Unmasked Non-LLM Curriculum for Craftax (arxiv.org)

ZOIF: Zeroth-Order Influence Function Estimation for LLM Data Selection Using Only Forward Passes (arxiv.org)

StimFlow: Synthesizing Brain Activity from Images via Stimulus-conditioned Flow Matching (arxiv.org)

Across Viewpoints and Time: Trajectory-Generalizable Physical Attacks on World Models and Video Understanding Models (arxiv.org)

Efficient Safety Guardrails through Latent Dual-Hypothesis Reasoning with On-Demand Trace Reconstruction (arxiv.org)

Harness Policy Distillation: Aligning Agent Policies with Runtime Semantics (arxiv.org)

FUSE: Fairness-aware Update Screening against Byzantine Exploitation in $q$-Fair Federated Learning (arxiv.org)