How can buyers check whether a correction benchmark rewards shortcuts?

Use these checks on a generated sample before running a comparison, because a benchmark can appear challenging while quietly exposing its answers through consistent packaging choices.

- Inspect record identifiers for outcome patterns, ensuring approved and rejected requests cannot be distinguished through prefixes, sequence ranges or other accidental naming conventions. - Compare document length and formatting across outcomes, checking whether successful corrections always receive richer evidence or a uniquely structured supporting note. - Remove evaluator annotations from agent-visible exports and inspect nested fields, attachments and metadata for rationales that disclose the expected decision or final state. - Test whether searching for a repeated phrase predicts the remedy, especially where generated review notes use distinctive wording for each labelled outcome category. - Partition related cases by their underlying business event, preventing a lightly rewritten version of a training case from becoming an apparently independent evaluation item. - Change irrelevant surface details while preserving evidence, then inspect whether the agent's decision remains stable when account labels or document ordering change. - Review difficult cases manually for answer-key defects, so disagreement caused by incomplete evidence is not mistaken for either model failure or useful benchmark difficulty.