arXiv: cs.AI preprintsInternational6 November 2026
THG-Omni: Traceable Human-Centric Graph Supervision for Video Reasoning
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arXiv:2611.07836v1 Announce Type: cross Abstract: Omni-modal models can answer questions about video, but their predictions rarely show which participant, event, or interval supports an answer. Moreover, answer-level supervision alone does not teach a model to interpret structured video evidence. To systematically mitigate this issue, we present THG-Omni, a human-centric graph-supervision framework that links Segment Anything Model~3 participant tracks with temporally grounded Qwen3-VL annotations. Candidate semantic claims are checked against the source video and available audio before they a
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