SafetyRepro: Configuration-Conditional Rank Instability on Alignment Benchmarks

May 25, 2026 ยท Grace Period ยท + Add venue

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Authors Yanhang Li, Zhichao Fan, Zexin Zhuang arXiv ID 2605.25492 Category cs.LG: Machine Learning Citations 0
Abstract
Pairwise model comparisons drawn from foundation-model benchmarks ("A is safer than B") are read as quantitative verdicts but hinge on harness choices benchmark papers under-specify. We close one theory-benchmark loop on this primitive: a finite-envelope proposition tying a measurable pairwise-disagreement rate to whether the strict ordering admits a configuration-pair reversal, paired with a commit-stamped evaluation protocol that operationalises it on widely cited alignment benchmarks. On every benchmark we test, configuration choice alone can flip the pairwise verdict; the proposition isolates this strict-reversal failure mode.
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