Author

Shenxiang Zeng

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Preprint Sep 2026

Asking the World: Generalist Physical Reasoning through Agentic World Modeling and Probing

This work introduces Asking the World (ATW), a generalist agent that constructs and interrogates task-relevant executable worlds through two adaptive stages: World Modeling calibrates a world from video, while World Probing queries, simulates, and intervenes on it to obtain question-relevant evidence.

Shen-Xiang Zeng, Chen Yang, Pei-Yao Chen et al. · 0 citations

Preprint Aug 2026

PhysMind: From Video to Executable Worlds for Training-Free Physical Reasoning

PhysMind is introduced, a training-free agentic framework that constructs one reusable, question-agnostic executable world per video that fits analytic continuous-time dynamics and latent physical parameters without unrolling a time-stepped simulator.

Chen Yang, Shenxiang Zeng, Haoyang Zhao et al. · 1 citation