datasciresearch/augmented-gmm-covariance

Task gallery / Data processing / data science / Version 1

Reference solution (oracle): Pass
No-op resistance check: Pass
QA verdict: superseded by v2 (h34 clean cohort)
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 · version 1. Selection status: known curated delivery cohort.

repo ↗

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 / effort	Verifier result [95% Wilson]	Diagnostic labels / valid	HARNESS_ERROR · excluded	Outcome classes
GPT-6 Astra · medium	1/2	0 / 2	1	GOOD_FAILURE: 0 BAD_FAILURE: 0 GOOD_SUCCESS: 0 BAD_SUCCESS: 0

Legacy evidence

Model / effort	Verifier result [95% Wilson]	Diagnostic labels / valid	HARNESS_ERROR · excluded	Outcome classes

Every recorded run

9 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 / model	Date / source	Reward / eligibility	Diagnostic class / source	Resources	Evidence
`augmented-gmm-covariance__9JRbU5X` oracle@@	Oct 18, 2026 delivery	1 · valid	No diagnostic label derived	Tokens: — Turns: — Cost: —	Not publicly available
`augmented-gmm-covariance__AeVKBdZ` nop@@	Oct 18, 2026 delivery	0 · valid	No diagnostic label derived	Tokens: — Turns: — Cost: —	Not publicly available
`augmented-gmm-covariance__AimLWXy` oracle@@	Oct 18, 2026 delivery	1 · valid	No diagnostic label derived	Tokens: — Turns: — Cost: —	Not publicly available
`augmented-gmm-covariance__ETCF5be` nop@@	Oct 18, 2026 delivery	0 · valid	No diagnostic label derived	Tokens: — Turns: — Cost: —	Not publicly available
`augmented-gmm-covariance__KCkmX5D` nop@@	Oct 18, 2026 delivery	0 · valid	No diagnostic label derived	Tokens: — Turns: — Cost: —	Not publicly available
`augmented-gmm-covariance__adPBNvC` oracle@@	Oct 18, 2026 delivery	1 · valid	No diagnostic label derived	Tokens: — Turns: — Cost: —	Not publicly available
`augmented-gmm-covariance__LHeU7TB` GPT-6 Astra · medium	Oct 18, 2026 delivery	1 · valid	No diagnostic label derived	Tokens: 40,968 Turns: 107 Cost: —	Not publicly available
`augmented-gmm-covariance__uyLJDPK` GPT-6 Astra · medium	Oct 18, 2026 delivery	0 · valid	No diagnostic label derived	Tokens: 29,794 Turns: 67 Cost: —	Not publicly available
`augmented-gmm-covariance__vngTxPA` GPT-6 Astra · medium	Oct 18, 2026 delivery	No reward · excludedno_reward	HARNESS_ERROR derived	Tokens: 16,897 Turns: 34 Cost: —	Not publicly available