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PAWS: Policy-driven Agentic World Simulation

arXiv:2609.28547v1 Announce Type: new Abstract: Policy interventions propagate through public communication, institutional decisions, and stakeholder responses, yet datasets for financial multi-agent simulation rarely connect these processes to temporally aligned historical evidence. We introduce P…

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  1. 2026-09-25 04:00 · arXiv cs.AI
    PAWS: Policy-driven Agentic World Simulation

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