AI RESEARCH
Perception First: A Frontier Native-Video Model with Self-Consistency for Implicit Video Question Answering
arXiv CS.LG
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ArXi:2606.01485v1 Announce Type: cross We describe our submission to the VRR Challenge @ CVPR 2026, built on the \emph{ImplicitQA} / \emph{VRR-QA} benchmark~\cite{implicitqa}: multiple-choice video question answering in which answers are deliberately \emph{not} observable in any single frame and must be inferred from spatial layout, motion, depth, viewpoint, causality, and social context across discontinuous frames of creative video. We conduct a systematic