Does Schmidhuber's 'Annotated History' open verbatim with 'Machine learning is the science of credit assignment,' and does he ever name the Matthew Effect?

Why it matters. This grounds claim-credit-assignment-spans-sociology-and-backprop. The note's Tier-1 anchor is Schmidhuber's opening sentence, taken on trust from the batch capture and not independently re-fetched during promotion. The note stays seedling until the quote is confirmed verbatim and located in the text.

What to do.

1. Re-fetch arXiv:2212.11279 (Annotated History of Modern AI and Deep Learning, Jürgen Schmidhuber, 2022 — open-access, no paywall). Confirm the sentence "Machine learning (ML) is the science of credit assignment" appears verbatim and record where (opening section / abstract).
2. Search the full text for any explicit invocation of the Matthew Effect, Merton, Stigler's Law, or "credit" in the sociological sense. If Schmidhuber names the sociological mechanism himself, the two-senses bridge is demonstrably his framing, not Seek's reading — which would move the note from seedling toward budding and tighten the keystone claim.

On success: update the keystone note's audit_status to verified-verbatim, record the location, and note whether the Matthew Effect is named. Retire this question to _answered/ with a wikilink back.