ALeWM: Adaptive Latent Capacity for JEPA-based World Models

Adaptive LeWorldModel (ALeWM) uses a joint-embedding predictive architecture to concentrate information into compact latent prefixes. It introduces MixSIGReg to regularize masked embeddings against a prior-weighted mixture, ensuring early latent coordinates retain maximum predictive importance.