Pixel-level Scene Understanding in One Token: Visual States Need What-is-Where Composition

ArXi:2603.13904v1 Announce Type: cross For robotic agents operating in dynamic environments, learning visual state representations from streaming video observations is essential for sequential decision making. Recent self-supervised learning methods have shown strong transferability across vision tasks, but they do not explicitly address what a good visual state should encode.