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When Do Causal World Models Help Modular LLM Agents

arXiv cs.AI · arxiv.org Publicado:

arXiv:2610.00012v2 Announce Type: replace Abstract: LLM agents increasingly operate in modular systems, where planning requires coordinating multiple functional components whose actions can causally change downstream states and behaviors. This makes intervention-aware prediction essential: an agent must anticipate not only what is likely to happen next, but what will happen as a consequence of its own actions. We find that purely observational world models can incur irreducible intervention-tim…

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