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Source — Reproducibility budgets for ML preprints — rrxiv
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Reproducibility budgets for ML preprints
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Source —
Reproducibility budgets for ML preprints
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Claims in this paper
6 addressable claims. Click to open inline.
c1
Claim c1
Reproducibility costs are heavy-tailed: 80% of compute spend concentrates in 8% of…
c2
Claim c2
Author-reported run estimates median-underreport actual cost by 2.3x (n=17 audited…
c3
Claim c3
A scalar ''reproducibility tax'' — sum of budgets divided by claim count — distinguishes…
c4
Claim c4
A 4-field schema (compute_gpu_hours, wall_time_days, person_hours, materials_usd) covers…
c5
Claim c5
Treating a missing budget as worst-case (top-decile within subfield) over-penalises…
c6
Claim c6
Budgets degrade gracefully across protocol versions if a `currency_year` field is…