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Code Plans, Diffusion Renders: Open-Ended Generative World Modeling

arXiv · AI, language, vision and robotics · article · Sep 22, 2026 · UTC

We introduce \textbf{CoDeR}, a new paradigm for world modeling. Unlike existing video world models that implicitly represent world dynamics through visual observations, our system explicitly constructs an executable world with code and employs video generation models for visual realization. Specifically, we coordinate five complementary roles to translate high-level concepts into structured world rules, executable dynamics, and perceptual observations. This design enables \textit{long-term memory}, \textit{open-ended interactions}, \textit{autonomous world evolution}, and \textit{multi-agent s

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Evidence & attribution

First collected: 2026-09-23T04:11:12.117Z. This is not the publication date.