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docs(results): where the head-row family lost BM, and scorer nondeterminism - #68

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docs(results): where the head-row family lost BM, and scorer nondeterminism#68
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Answers the "next lever" line at the end of the #51 section. Analysis only — no model, no GPU, no dataset change.

The hypothesis in RESULTS was inverted. Net flow v7-dpo → v11-dpo by gold-side tool, three registers pooled:

lost gained net
the 22 head-row tools 18 3 −15
everything else 99 75 −24

The head rows doubled their share of the pool (5.1% → 9.8%) and the model got worse at exactly those tools. find, diluted 5.03% → 4.86%, is net +10. So dilution is not the mechanism.

60% of losses keep v7-dpo's tool, 64% are longer, mean command 6.79 → 7.55 tokens. They read as elaborations: chownsudo chown, df -h | awk… | cut -d% -f1, free -hsmem --system.

Separately: the ALFA scorer is nondeterministic. 13 of 900 task-arm groups score a byte-identical command both 0 and 1 — 1.4%, which is issue #57's noise floor (0.013/register) almost exactly. #57 read that as training noise; most of it is the embed scorer at threshold 0.75. Worth knowing before any future CI is called tight.

Suggested next steps are in the section; neither is worth a run on its own.

🤖 Generated with Claude Code

…minism

Diff of the four DPO arms' scored answers, 900 task-instances, no GPU.
The head-row tools are net -15 of the -39; find, the diluted one, is +10.
60% of losses keep the same tool and 64% are longer: elaboration, not tool
confusion. Separately, 13 of 900 groups score a byte-identical command both
0 and 1, which accounts for most of issue #57's noise floor.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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