arXiv (All)
open access
Towards AI-Generated Music Plagiarism Detection as a Version Identification Problem
The rapid expansion of text-to-music generative models challenges traditional paradigms of music creation and intellectual property. Plagiarism in this context is rarely an absolute mathematical binary, but an ambiguous threshold negotiated over harmonic structure, melodic contours, or overall perce
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- SSIMuse: Assessing Data Replication in Symbolic Music via an Adapted Structural Similarity Index Measure#1117246
- On the Human and Computer Alignment of Attribute-Based Music Matches#820980
- Composer2Vec: A Continuous Embedding Space of Composer Style Learned from Symbolic Melody Generation#1034867
- Tracing Inputs, Verifying Outputs: Validating Attribution in Music Generation#1234005
- The Struggle for Music Copyright#649844
Record · ID 1233114
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive