Auto86%Harbor: pendingCodingKnowledge & Reasoning

claimcheck

claimcheck: Measuring and Improving Specification Faithfulness

A 3,234-row benchmark measuring spec formalization faithfulness across Dafny, Lean 4, Isabelle, and Rocq by pairing natural-language requirements with formal artifacts.

How to run

ltb · claimcheck
$ npm i -g lettokenburn-cli
$ ltb bench info claimcheck

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

3 sourced entries
HarnessSourceConfidenceLink
Gemini94.8N/AIndependentmediumOct 12, 2026arxiv.org
Luna84.6N/AIndependentmediumOct 12, 2026arxiv.org
DeepSeek Chat81.3N/AIndependentmediumOct 12, 2026arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

All runs
Loading community runs…

About

The benchmark pairs natural-language requirements with formal artifacts in four languages, including meaning-preserving controls to prevent mutation detection shortcuts. Labels are established via execution, proof, or source benchmarks.

Scoring uses macro recall to measure a judge's ability to detect discrepancies between requirements and specifications. The proposed claimcheck tool improves recall by 4.2–6.0 points over informed baselines by separating informalization from judgment.