A framework combining LLM policy interpretation with a physically conserved graph-latent world model and uncertainty-separated learning achieves 33% higher rationale consistency and 82.3% operability on a 10-node semiconductor benchmark under perturbations.
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ReflectiChain: Epistemic Grounding in LLM-Driven World Models for Supply Chain Resilience
A framework combining LLM policy interpretation with a physically conserved graph-latent world model and uncertainty-separated learning achieves 33% higher rationale consistency and 82.3% operability on a 10-node semiconductor benchmark under perturbations.