arXiv Artificial IntelligenceChainClaw: A Layered Agent Framework for Reliable On-Chain Execution
arXiv:2608.05790v1 Announce Type: new Abstract: General-purpose large language model agents have achieved…
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arXiv Artificial IntelligencearXiv Artificial IntelligenceActivity Frames: Deterministic Screen-Activity Compilation for Agent Memory and Replay
arXiv:2608.05784v1 Announce Type: new Abstract: Computer-use agents pay full frontier inference to re-derive…
arXiv Artificial IntelligenceWhen Do Prompt-Side Agent Playbooks Transfer? Accuracy, Cost, and Runtime Shift in Agent Deployment
arXiv:2608.05778v1 Announce Type: new Abstract: Prompt-side playbooks can improve tool-using language agents…
arXiv Artificial IntelligenceSubliminal Learning is Non-Semantic Distillation
arXiv:2608.05734v1 Announce Type: new Abstract: Subliminal Learning (SL) is a surprising type of…
arXiv Artificial IntelligenceUnified Agent: Managing Interactions across Devices
arXiv:2608.05729v1 Announce Type: new Abstract: As capabilities rapidly increase, AI agents can move from…
arXiv Artificial IntelligenceBlockPython: A Process-Aware Agent-Supported Platform for the Transition from Block-Based to Python Programming
arXiv:2608.05716v1 Announce Type: new Abstract: The transition from block-based to text-based programming…
arXiv Artificial IntelligenceShaping Human-AI Interactions to Provide Improvement Pathways and Balance Competing Objectives
arXiv:2608.05710v1 Announce Type: new Abstract: When an AI system is deployed, the individuals who use and or…
arXiv Artificial IntelligenceDreamGuard: Efficient Runtime Guardrail for LLM Agents via Risk-Aware World Model
arXiv:2608.05695v1 Announce Type: new Abstract: As large language model (LLM) agents increasingly invoke…
arXiv Artificial IntelligenceA Unified Framework for Trajectory Prediction with Explicit Planning and Reaction Decomposition
arXiv:2608.05673v1 Announce Type: new Abstract: Trajectory prediction has shifted toward structured…
arXiv Artificial IntelligenceRefining Over Resampling: Test-Time Self-Correction for LLM Reasoning
arXiv:2608.05643v1 Announce Type: new Abstract: Test-time scaling improves LLM reasoning by using additional…
arXiv Artificial IntelligenceBayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying
arXiv:2608.05642v1 Announce Type: new Abstract: This paper proposes the Bayesian Expected Uncertainty…
arXiv Artificial IntelligenceSkillHEX: Improving Agent Skills via Hypothesis-Driven Autonomous Exploration and Exploitation
arXiv:2608.05628v1 Announce Type: new Abstract: Although agent skills equip LLMs with reusable procedural…
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