World Models with Predictable Long-Horizon Marginals.

arXiv:2609.32657v1 Announce Type: new Abstract: Accurate one-step predictions do not ensure that a world model's rollouts retain the data distribution. We make the model's decoded stationary law explicit by learning a decoder of a fixed Gaussian reference and