Examines repeated generated-data training under stated assumptions. It does not show all synthetic data is harmful or that collapse is inevitable in every pipeline.
The evidence behind the guides
Sources
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Sources for Bias in synthetic augmentation
2 sources
Guide citations are still under editorial review.Documentation questions cover composition, collection, time, uses, permissions, and maintenance. This is a documentation method, not proof of a particular dataset's defects.
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