What is claimed?
Combined FP8 attention-forward projections with BF16 backward/evaluation, annealed optimizer exploration noise, cautious embedding updates and activation-reconstruction fusion to accelerate a small-GPT training stack. Reported result; not independently verified by WRS. Ranked using a provisional grade and reference estimate for the exact claimed result.
Scientific scope
The pinned source reports a 13-run 77.34-second mean on Modal 8xH100 against 80.61 seconds for its matched baseline; official leaderboard-machine timing was pending. These differ from the article's 77.5 seconds and external 79.7-second reference. WRS has not replayed loss-threshold testing; universal quality-preserving speedup is not established.
Evidence state
The source reports this result. WRS has not independently reconstructed the complete argument or validated the reported evidence. The grade and score here express conditional significance; they do not certify correctness. The provisional value enters the main reference rankings with an unverified label, but not achieved-science progress totals.
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