AI RESEARCH
UWM-JEPA: Predictive World Models That Imagine in Belief Space
arXiv CS.AI
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ArXi:2605.25313v1 Announce Type: cross World models for partially observed environments must imagine multiple compatible hidden futures and steer between them under counterfactual actions. Joint Embedding Predictive Architectures (JEPAs) do this in latent space, but a vector-valued latent has no internal structure for carrying the belief over hidden continuations through blind rollout.