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The same page, then the same page blackened. Same model, same question, same temperature. **The distribution moves from A 0.482 to D 0.887** — the image reaches the forward pass. This is the one test that separates a vision decision model from a text decision model that has been given a picture it cannot see: send an obviously different image and check whether the answer changes. Twenty seconds of work, and on this hardware it is what proved the Pascal vision tower runs (`--no-mmproj-offload`) and what caught every wrong turn on the way. The distributions on this card were measured with the **task in the state**. That matters more than it sounds. Asked "does this page fulfil its task?" without the task, the same model gave nearly flat answers — spread 0.089 across twenty pages instead of 0.176 — because it was guessing, and guessing looks plausible. On this hardware a decision model can only judge a page against a task it has actually been given.

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