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Systematic review paper surveying AI music generation technologies, models, datasets, evaluation methods, and applications
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This is a published academic review paper (arXiv preprint), not a software project or reproducible codebase. The 0 stars, 3 forks, and 581-day age indicate this is a static document with no active development, user adoption, or technical implementation. Review papers by nature synthesize existing work rather than introduce novel techniques. While potentially useful as a reference for understanding the AI music generation landscape, it has zero defensibility as a software artifact—it cannot be forked, deployed, or meaningfully extended. Frontier labs have no incentive to replicate a survey; they focus on building generative models directly. The project should not be scored using the software defensibility rubric; it is academic content, not a software component. If re-evaluated as purely informational value, it may serve as a knowledge reference, but it lacks any technical moat, user base, or competitive positioning.
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