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Author

Lishan Yang

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Preprint Aug 2026

4D-WAM: Infusing Spatiotemporal Awareness into World Action Models through Trajectory Fields

4D-WAM is proposed, a model-agnostic training strategy that injects spatiotemporal knowledge from 3D trajectory fields into WAMs through representation alignment, enabling WAMs to learn trajectory-level spatiotemporal representations.

Lishan Yang, Wen-Xuan Song, Xi Wang et al. · 5 citations · ⚡1

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