Generation Provenance Before Behavior Attribution: Auditing Synthetic Speech Research Objects

Excerpt

arXiv:2610.01378v1 Announce Type: cross Abstract: Attributing model behavior to synthetic training data requires knowing what produced each training item before estimating what that item caused. A waveform-label pair does not preserve this knowledge. We propose a generation-provenance substrate in which a synthetic research object binds source specification, generated content, waveform, target, fact requirements, quality signals, review lineage, and immutable manifest identity. Producer and sele