Task gallery / Data processing / data science / Version 2
Reference solution (oracle)
Pass
No-op resistance check
Pass
QA verdict
ACCEPT-WITH-DOCUMENTED-GAPS (sfdata2-pr609v2-final-signoff.md; D26-W waiver sign
Aggregate eligibility
Eligible version

The task

Please add covgmmaugmented(moments, jacobian, hessian, weights, rcond=1e-12) to statsmodels.stats.sandwichcovariance. We need misspecification-aware covariance estimates and the attainable efficient bound from the augmented moment system. Document the function, preserve existing covariance helpers, and commit the change. Inputs are per-observation moment values g (n,m), their Jacobians G (n,m,p), their Hessians F (n…

Excerpt only; not a complete executable task specification. Task ID sfdata2/augmented-gmm-covariance-v2 · version 2. Selection status: known curated delivery cohort.

Results by model and effort

This exact task version only. Every rate is passes / valid runs with a Wilson 95% interval; n≤2 remains counts only. Macro aggregation does not apply within a single task. Baselines are summarized in the quality gates, not ranked. A passed no-op resistance check means that doing nothing did not solve the task.

Current evidence

Model / effortVerifier result [95% Wilson]Diagnostic labels / validHARNESS_ERROR · excludedOutcome classes
GPT-6 Astra · medium0/5 · 0.0% [0.0%, 43.4%]5 / 50
GOOD_FAILURE: 5
BAD_FAILURE: 0
GOOD_SUCCESS: 0
BAD_SUCCESS: 0

Legacy evidence

Model / effortVerifier result [95% Wilson]Diagnostic labels / validHARNESS_ERROR · excludedOutcome classes

Difficulty, with uncertainty

Selected-best difficulty: 100.0% [56.6%, 100.0%]. This is one minus the best measured current-row pass rate among rows with at least five valid runs.

The maximum is selected from the observed rows, so the estimate is optimistic. Its Wilson interval is not adjusted for model selection. “Hard” requires qualifying GOOD_FAILURE evidence; the threshold flag additionally requires the interval and recorded quality gates to meet the documented rule. This is not independent validation. Threshold flag: yes.

Every recorded run

17 recorded trials, including controls. Diagnostic labels do not replace verifier reward. Labels and quality checks are source declarations, not independently attested here. Internal evidence remains private; a missing public URL is shown explicitly. Records with invalid or absent rewards are not scored.

Run / modelDate / sourceReward / eligibilityDiagnostic class / sourceResourcesEvidence
augmented-gmm-covariance-v2__AyxYdJg
nop@@
Oct 20, 2026
delivery
0 · validNo diagnostic label
derived
Tokens: —
Turns: —
Cost: —
Not publicly available
augmented-gmm-covariance-v2__TZsj3CJ
nop@@
Oct 20, 2026
delivery
0 · validNo diagnostic label
derived
Tokens: —
Turns: —
Cost: —
Not publicly available
augmented-gmm-covariance-v2__h9yzaAG
oracle@@
Oct 20, 2026
delivery
1 · validNo diagnostic label
derived
Tokens: —
Turns: —
Cost: —
Not publicly available
augmented-gmm-covariance-v2__hjjiQ3Q
oracle@@
Oct 20, 2026
delivery
1 · validNo diagnostic label
derived
Tokens: —
Turns: —
Cost: —
Not publicly available
augmented-gmm-covariance-v2__i5eTgu9
nop@@
Oct 20, 2026
delivery
0 · validNo diagnostic label
derived
Tokens: —
Turns: —
Cost: —
Not publicly available
augmented-gmm-covariance-v2__mrDxwpq
oracle@@
Oct 20, 2026
delivery
1 · validNo diagnostic label
derived
Tokens: —
Turns: —
Cost: —
Not publicly available
augmented-gmm-covariance-v2__SiyaVeG
GPT-6 Astra · medium
Oct 20, 2026
delivery
0 · validGOOD_FAILURE
independent-review
Tokens: 45,009
Turns: 111
Cost: —
Not publicly available
augmented-gmm-covariance-v2__cuqfm8e
GPT-6 Astra · medium
Oct 20, 2026
delivery
0 · validGOOD_FAILURE
independent-review
Tokens: 44,260
Turns: 114
Cost: —
Not publicly available
augmented-gmm-covariance-v2__hxdTazz
GPT-6 Astra · medium
Oct 20, 2026
delivery
0 · validGOOD_FAILURE
independent-review
Tokens: 29,262
Turns: 85
Cost: —
Not publicly available
augmented-gmm-covariance-v2__3LhrxrD
nop@@
Oct 20, 2026
delivery
0 · validNo diagnostic label
derived
Tokens: —
Turns: —
Cost: —
Not publicly available
augmented-gmm-covariance-v2__GBQrqwZ
oracle@@
Oct 20, 2026
delivery
1 · validNo diagnostic label
derived
Tokens: —
Turns: —
Cost: —
Not publicly available
augmented-gmm-covariance-v2__kzrVuVi
nop@@
Oct 20, 2026
delivery
0 · validNo diagnostic label
derived
Tokens: —
Turns: —
Cost: —
Not publicly available
augmented-gmm-covariance-v2__oLhPFGB
nop@@
Oct 20, 2026
delivery
0 · validNo diagnostic label
derived
Tokens: —
Turns: —
Cost: —
Not publicly available
augmented-gmm-covariance-v2__rVSVx9S
oracle@@
Oct 20, 2026
delivery
1 · validNo diagnostic label
derived
Tokens: —
Turns: —
Cost: —
Not publicly available
augmented-gmm-covariance-v2__rYCCkEp
oracle@@
Oct 20, 2026
delivery
1 · validNo diagnostic label
derived
Tokens: —
Turns: —
Cost: —
Not publicly available
augmented-gmm-covariance-v2__qTB4Nv9
GPT-6 Astra · medium
Oct 20, 2026
delivery
0 · validGOOD_FAILURE
independent-review
Tokens: 46,810
Turns: 110
Cost: —
Not publicly available
augmented-gmm-covariance-v2__vkZjXts
GPT-6 Astra · medium
Oct 20, 2026
delivery
0 · validGOOD_FAILURE
independent-review
Tokens: 54,282
Turns: 138
Cost: —
Not publicly available