visual-access-boundary

This paper introduces Visual Access Sweep, a causal intervention method to measure the minimal image-token access needed for Vision-Language Model reasoning, and finds that Chain-of-Thought prompting does not primarily improve performance by prolonging direct image access but by enabling extended language-side computation over visual information.