LRC-JEPA: Disentangling Dynamics and Residual Context for Efficient World Models.

arXiv:2609.34375v1 Announce Type: cross Abstract: Compact JEPA world models enable efficient latent-space planning, but low-dimensional representation trained under reward-free self-supervision must encode both action-conditioned dynamics and predictable visua