AI RESEARCH
Temporal Evidence Routing with Structured Visual Evidence for TimeLogicQA
arXiv CS.CV
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ArXi:2606.01106v1 Announce Type: new TimeLogicQA evaluates whether video question answering systems can reason over temporal relations such as event existence, ordering, persistence, boundary conditions, and overlap. We address this task with a visual evidence routing pipeline that separates perception from symbolic temporal reasoning. The system first parses each question into event targets, answer mode, candidate options, and temporal operators.