arXiv: cs.AI preprintsInternational6 November 2026
EvoWorld: Towards Out-of-Sight World Evolution in Generative Video Models
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arXiv:2611.06748v2 Announce Type: replace-cross Abstract: Generative video models are increasingly used as visual world simulators, yet their primary strength lies in rendering plausible pixels rather than reasoning about how a world should evolve. Coherent world evolution requires more than visual fidelity: when an event occurs, a model must infer its consequences for the entities in the world and then render the resulting state. For example, after a wild beast appears, the model should not only depict the wild beast, but also infer whether a nearby person should flee, take cover, or fight ba
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