MusicMark: A Robust Generative Watermarking Framework for Music Generation

research work·provenance detection paper·active

Research work examining music generation, music provenance and watermarking.

Recorded facts

Official site	https://arxiv.org/abs/2607.11117 ↗
Geography	Global
arxiv	2607.11117
venue	Submitted to IEEE Transactions on Information Forensics and Security
authors	Seohwan Yun; Jeeyoung Yun; Yongjin Kim; Juyeon Lee; Sungwoong Kim
methods	diffusion modeling; watermarking
code urls	unknown
demo urls	unknown
exact title	MusicMark: A Robust Generative Watermarking Framework for Music Generation
project urls	unknown
original title	unknown
citation counts	unknown
research topics	music generation; music provenance and watermarking; singing voice
peer review status	not established from abstract metadata
disclosed conflicts	unknown
stated contribution	Presents or evaluates the system, method, benchmark, or analysis identified in the paper title.
us market scope basis	Included as a materially relevant public research artifact in the US-facing AI-music ecosystem; direct affiliation varies.
funding acknowledgements	unknown
affiliations at publication	unknown
publication or preprint date	2026-07-13
abstract level neutral summary	The work studies music generation, music provenance and watermarking; methods and evaluation details are in the official abstract.
datasets benchmarks models tools used	unknown
correction withdrawal retraction status	No withdrawal marker observed in captured arXiv metadata.