Citation notice #988 · 2026-07-11 03:18:53.715838+00:00
Repurposing Image Diffusion Models for Adversarial Synthetic Structured Data: A Case Study of Ground Truth Drift
Correction
Crossref
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cites AI models collapse when trained on recursively generated data.Nature, 631:755–759, 2024, which carries a correction notice dated 2025-03-21. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.
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01Evidence
Raw extraction · bibliography line · bibliography index 21
Shumailov, I., Shumaylov, Z., Zhao, Y., Papernot, N., Anderson, R., & Gal, Y. (2024). AI models collapse when trained on recursively generated data.Nature, 631, 755–759. https: //doi.org/10.1038/s41586-024-07566-y
02Event
- Type
- Correction
- Source
- Crossref
- Original DOI
- 10.1038/s41586-024-07566-y
- Notice DOI
- 10.1038/s41586-025-08905-3
- Date
- 2025-03-21
- Title
- Author Correction: AI models collapse when trained on recursively generated data
- Reasons
- ['Correction']
- Work
- AI models collapse when trained on recursively generated data.Nature, 631:755–759, 2024 (2024) Nature
03Dispute this notice
If this citation does not depend on the flagged claim, or the event is wrong, say so. Disputes are public. For a signed challenge against the paper itself, use the formal challenge form.