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The paper introduces EvolvingNav, a predictive 4D belief framework for embodied agents that tracks targets in evolving environments, forecasts their locations at inspection time, and revises beliefs under limited visibility, along with the EvoWorld-Bench benchmark covering 54 scenes and 803,680 tasks, demonstrating improved navigation success in simulation and real-robot experiments.