# Video World Models Need Predictable Latents

- Source: arXiv cs.RO
- Published: 2026-10-27T04:00:00.000Z
- RoboHot: https://robohot.news/en/items/u671nu9zauq03vh51wkc6r0ws
- Original: https://arxiv.org/abs/2610.34663

## Summary

This paper proposes making the latent space of video world models balance predictability with pixel reconstruction accuracy, achieved through temporal objectives for representation learning paired with a past-conditioned decoder architecture. Under the same training budget, inference cost is reduced by up to 5x, training speed increases by more than 7x, and pixel and perceptual errors in out-of-distribution and long-horizon prediction drop by 15-24%. The authors argue that temporal predictability should be an important design principle for video world model latent spaces and provide a concrete method for incorporating it into autoencoder training.