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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 Open

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.

This is not a judgment on the citing paper.

Citing paper Event page Original DOI Notice DOI File a formal challenge All reference changes

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

Schema constants (for re-runners): correction · crossref

03Dispute this notice

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