What Can Component-Replacement Evidence Establish? A Critical Scoping Review of Local Decisions in LLM Agents
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PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agents
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Adaptive Self-Consistency: From Black-Box Sampling to Distribution-Valued Feedback
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Who Verifies the Graph? Misspecification Attacks on Causal Action Verification for Language Agents
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Unlearnable, or Unmeasured? On the Reliability of Difficulty Labels in RLVR
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WorldAuditBench: Interactive 3D World Auditing with Multimodal Agents
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AtlasNav: Mitigating Evidence Blindness with Persistent Corpus Navigation
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AIMS: An Agentic AI Framework for Sim-to-Real Multi-Modal ISAC
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Belief-Aware Multi-Agent Path Finding under Map Uncertainty
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PTNO: Training Neural Operators with Noisy Monte Carlo Estimates for Particle Transport Problems
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Towards a Belief-Based World Model for LLM Agents
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Learning from Research: Toward Lifelong Agent Harness Evolution
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