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Arxiv2.com/paper/2604.22748
arxiv2.com/paper/2604.22748
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A comprehensive paper examining how AI agents can model and understand their environments to accomplish goals through interaction. The work explores the foundational concepts, capabilities, and principles underlying agentic world modeling—an increasingly important capability as AI systems move beyond text generation to taking actions in complex environments.
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