feat(tier3): report pass@k uncertainty and paired outcomes - #63
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feat(tier3): report pass@k uncertainty and paired outcomes#63AdemVessell wants to merge 2 commits into
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Signed-off-by: Adem Vessell <134353219+AdemVessell@users.noreply.github.com>
AdemVessell
requested review from
chrisknvidia,
mosheabr,
rmalani-nv and
rng1995
as code owners
August 22, 2026 05:57
Signed-off-by: Adem Vessell <134353219+AdemVessell@users.noreply.github.com>
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Pushed follow-up The follow-up:
Validation on the final head:
An independent cold re-review found no remaining actionable defect. The new |
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Summary
pass@k rate;
Why
An aggregate with-skill minus without-skill rate does not reveal whether gains
and regressions occurred on the same cases, and a point estimate alone obscures
small-sample uncertainty. The additional fields make the existing result more
auditable without changing its pass/fail policy.
Scientific boundary
The intervals and exact test describe one configured run. They do not establish
task independence, correct leakage, prove generalization, or make the test set a
random sample. Partial/unidentified pairings receive no exact-test result.
Validation
PATH="$PWD/.venv/bin:$PATH" make test PYTHON=.venv/bin/pythonmake lint PYTHON=.venv/bin/pythonmake build PYTHON=.venv/bin/pythonCompatibility
This is an additive JSON/report change. Existing pass@k values and verdict
thresholds are unchanged.
Addresses #62.
Verification checklist
make lintmake testmake buildRelease impact
CHANGELOG.md