AI RESEARCH
One Token Per Frame: Reconsidering Visual Bandwidth in World Models for VLA Policy
arXiv CS.AI
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ArXi:2605.07931v1 Announce Type: cross Vision-language-action (VLA) models increasingly rely on auxiliary world modules to plan over long horizons, yet how such modules should be parameterized on top of a pretrained VLA remains an open design question. Existing world-model-augmented VLAs typically pass the per-frame visual stream into the world module at high visual bandwidth and treat its rollout as a side product of action prediction; under a constrained adaptation budget on a frozen backbone, this leaves both the per-frame representation and the latent action coupling under-examined. We.