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Hyra Team: agent-produced fixed-budget language-model recipe with sparse n-gram and induction features

Reported result · significance if the exact claim is established

If verified · conditional significanceClaim scope and evidenceReported result · not independently verified.
If verified · reference score6,000Editorial revision range 2,500–15,000. Not a statistical interval. Included in rankings as an unverified reported result; excluded from achieved-science progress totals.

Provisional assessment of the stated contribution scope. Scientific evidence and contributor attribution are separate.

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What is claimed?

Released an agent-produced small-transformer recipe combining frequency-aware sparse bigram/trigram features, causal induction features, document-position buckets and learned multilayer readout under a fixed single-GPU training budget. Reported result; not independently verified by WRS. Ranked using a provisional grade and reference estimate for the exact claimed result.

Scientific scope

One source-reported 300-second single-B200 experiment, about 348 seconds including setup/evaluation and 169 GB memory. This is not a universal efficiency gain or large-model scaling result. Muon/AdamW, attention and embedding techniques are inherited. WRS has not replayed the training or independently established generalization.

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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