Unverified50% confidenceFactExact time
In CUAs, each screenshot is represented as thousands of visual tokens, which accumulate with the interaction history to form an extremely long context, and most visual tokens are either semantically irrelevant to the next action or temporally redundant across consecutive screenshots.
1
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50%
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Long-term
Relevance
11/5/2026
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Related Claims
UnverifiedIn multimodal agents, visual reasoning refers to the mechanism by which a model converts a page screenshot into image tokens and then parses it frame by frame to determine the positions of clickable elements; a high-resolution screenshot often consumes hundreds to thousands of image tokens, and inference must be redone every time the page state changes.70% similarUnverifiedVisual consistency can be addressed through technical approaches such as temporal attention mechanisms, reference image anchoring, and latent space interpolation.64% similarUnverifiedNV-Reason-CT's visual encoder divides the volumetric data into patches on a 3D grid, generating a total of 13,824 visual tokens, each of which is sent into the language model together with its three-dimensional spatial position marker.63% similarUnverifiedIn multimodal large models, an image is split by the vision encoder into a large number of patch tokens, and the attention distribution is long-tailed: a few visual tokens receive high attention while a large number receive very low attention.63% similarUnverifiedVisual routines theory holds that complex visual tasks can be decomposed into a series of elementary operations that require establishing explicit reference to specific locations in the scene (such as marking locations and moving the focus of attention).63% similar
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