https://validator.w3.org/feed/docs/rss2.html IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation Core-Halo Decomposition: Decentralizing Large-Scale Fixed-Point Problems ENSEMBITS: an alphabet of protein conformational ensembles GraphBit: A Graph-based Agentic Framework for Non-Linear Agent Orchestration VLRS-Bench: A Vision-Language Reasoning Benchmark for Remote Sensing Image Generators are Generalist Vision Learners The Pitfalls of KV Cache Compression Numerical exploration of the range of shape functionals using neural networks Position: Behavioural Assurance Cannot Verify the Safety Claims Governance Now Demands AsymTalker: Identity-Consistent Long-Term Talking Head Generation via Asymmetric Distillation Zatom-1: Towards a Multimodal Foundation Model for 3D Molecules and Materials AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents On the Sample Complexity of Differentially Private Policy Optimization From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering Gradient-Free Noise Optimization for Reward Alignment in Generative Models Towards a holistic understanding of Selection Bias for Causal Effect Identification Q-Flow: Stable and Expressive Reinforcement Learning with Flow-Based Policy A New Technique for AI Explainability using Feature Association Map Think Twice, Act Once: Verifier-Guided Action Selection For Embodied Agents Governing AI-Assisted Security Operations: A Design Science Framework for Operational Decision Support One Token Per Frame: Reconsidering Visual Bandwidth in World Models for VLA Policy Operating Within the Operational Design Domain: Zero-Shot Perception with Vision-Language Models TiledAttention: a CUDA Tile SDPA Kernel for PyTorch Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting COGNOS: Universal Enhancement for Time Series Anomaly Detection via Constrained Gaussian-Noise Optimization and Smoothing Asymmetric On-Policy Distillation: Bridging Exploitation and Imitation at the Token Level Towards Billion-scale Multi-modal Biometric Search The Endogeneity of Miscalibration: Impossibility and Escape in Scored Reporting GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning The E$Delta$-MHC-Geo Transformer: Adaptive Geodesic Operations with Guaranteed Orthogonality Gradient Extrapolation-Based Policy Optimization Rubric-Grounded RL: Structured Judge Rewards for Generalizable Reasoning The Single-File Test: A Longitudinal Public-Interface Evaluation of First-Output LLM Web Generation with Social Reach Tracking A fully automated framework for acoustic identification and localization of terrestrial wildlife at scale Vision-Core Guided Contrastive Learning for Balanced Multi-modal Prognosis Prediction of Stroke Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search Schedule-and-Calibrate: Utility-Guided Multi-Task Reinforcement Learning for Code LLMs Dynamic Pondering Sparsity-aware Mixture-of-Experts Transformer for Event Stream based Visual Object Tracking Continual Knowledge Updating in LLM Systems: Learning Through Multi-Timescale Memory Dynamics Understanding Annotator Safety Policy with Interpretability Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning RNA design across eras: from covariance models to modern generative AI Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding Tacit Knowledge Extraction via Logic Augmented Generation and Active Inference Parametrizing Convex Sets Using Sublinear Neural Networks SpecKV: Adaptive Speculative Decoding with Compression-Aware Gamma Selection CreativityBench: Evaluating Agent Creative Reasoning via Affordance-Based Tool Repurposing From Intent to Execution: Composing Agentic Workflows with Agent Recommendation Query-Conditioned Test-Time Self-Training for Large Language Models