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When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-

BACKGROUND
1 SIGNALFIRST DETECTED 25 May 2026
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23 May
Planning in the LLM Era: Building for Reliability and Efficiency

arXiv:2605.21902v1 Announce Type: new Abstract: Growing attention to intelligent agents has put a spotlight on one of their central capabilities: planning. Early attempts to

REPORT · WHAT · ArXiv CS.AIOPEN STORY
16 Oct
Planning Commitment of LLM under Partial Observability

arXiv:2610.21108v1 Announce Type: new Abstract: LLM-based planning agents commit to plans of different lengths before interacting with a partially observable environment. Some

REPORT · WHAT · ArXiv CS.AIOPEN STORY
13 May
PIVOT: Bridging Planning and Execution in LLM Agents via Trajectory Refinement

arXiv:2605.11225v1 Announce Type: new Abstract: Large language model (LLM)-based agents frequently generate seemingly coherent plans that fail upon execution due to infeasible

REPORT · HOW · ArXiv CS.AIOPEN STORY
4 May
Physically Native World Models: A Hamiltonian Perspective on Generative World Modeling

arXiv:2605.00412v1 Announce Type: new Abstract: World models have recently re-emerged as a central paradigm for embodied intelligence, robotics, autonomous driving, and

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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