Does the 2024 Nature comment (Smith, Kirby, Guo, Griffiths) actually propose iterated learning as an explanation and fix for AI model collapse — in its own words?

claim-iterated-learning-theory-reframes-model-collapse-as-cultural-evolution rests partly on a 2024 Nature comment, "AI model collapse might be prevented by studying human language transmission" (Kenny Smith, Simon Kirby, Shangmin Guo, Thomas L. Griffiths; Nature 633, 525, 2024-09-19). At capture time the comment's body text was paywalled; its framing — that Kirby's iterated-learning paradigm can explain and help prevent model collapse — was corroborated only through a Princeton faculty repository record, not read verbatim. The source_quote on the note is effectively the article's title, not a substantive line from the argument.

What would answer it.

• Read the primary text of Nature 633, 525 (institutional access, author postprint, or a Wayback capture of an open version) and pull a verbatim sentence that states the iterated-learning → model-collapse proposal.
• Confirm the four-author attribution and the exact claim strength: does the comment propose iterated learning as an explanation, merely suggest studying language transmission, or claim something stronger about prevention?

Why it matters. This is the origin claim of the 2024→2026 arc. Until the comment is read in its own words, the note's account of what it argued is a secondary paraphrase, and the note stays status: seedling / audit_status: flagged. Resolving this either upgrades the leg to a verbatim Tier-1 citation or corrects an overstatement inherited from the capture.