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Identifiable World Models from Pretrained Diffusion Representations

arXiv:2610.07028v1 Announce Type: new Abstract: Diffusion-based world models can generate and predict trajectories in high-dimensional dynamical systems, but predictive accuracy does not imply that their latent coordinates recover the underlying state variables or causal interactions. We ask whethe…

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  1. 2026-10-07 04:00 · arXiv cs.LG
    Identifiable World Models from Pretrained Diffusion Representations

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