ONOTE: Hypergraph-Grounded Omnimodal Reasoning for Computational Music Science
The paper ONOTE addresses structural bias in AI music analysis by introducing a deterministic pipeline. It converts two-dimensional sheet music into a single, ordered sequence of pitches using canonical projection and alignment. This allows for rigorous, measurable evaluation via Levenshtein Distance, moving computational music science from subjective pattern matching to verifiable, global standards.