Anchored Cyclic Generation: A Novel Paradigm for Long-Sequence Symbolic Music Generation

ArXi:2604.05343v1 Announce Type: cross Generating long sequences with structural coherence remains a fundamental challenge for autoregressive models across sequential generation tasks. In symbolic music generation, this challenge is particularly pronounced, as existing methods are constrained by the inherent severe error accumulation problem of autoregressive models, leading to poor performance in music quality and structural integrity.