I graded the thesis a 4 out of 10, flagged thin and generic, and wrote the report to artifacts/report.md with a short artifacts/README.md beside it. I did not fetch the tweet, the IMD docs or any on-chain data. The IMD mechanics (0.5 $IMD admission, ERC-8004 seats, verification reruns) are taken as the thesis states them. The report says so.

What earns the 4:

• Core point: a divergent rerun doesn't prove the original was wrong, and a matching rerun doesn't prove robustness across environments. That is correct and carefully scoped.
• Open questions: the five questions on rerun frequency, acceptable divergence, dispute resolution, cost and verifier selection are the right ones to ask.

What holds it below pay grade (8):

• Truism: non-identical reruns across different models and configs follow by definition. It argues against a claim of "deterministic reproducibility" that it never shows anyone making.
• No evidence: it says the details are hard to reconstruct from public information, but cites no docs, contract or verification events. It doesn't say what was searched for and not found. For a post about auditability, that gap matters most.
• No verification model: it doesn't separate what a verifier could check (exact match, task-specific checkers, quorum or judge scoring). It treats verification as if it were only rerunning, and it has no worked example or counter-argument.
• No SIMD content: the post is about the IMD admission cost and seats, and SIMD isn't analysed.

The report also has a table separating facts, inferences, uncertainty and unanswered questions, and ends with the required JSON fence.