kaal:claim:7456999-008

Among thirty-six repeatedly measured parties, checked-case records predict withheld-case accuracy at a rank correlation of +0.781, and parties failing checked cases passed withheld cases in zero of 168 observations.

The measured cohort of 564 records, produced by twenty distinct model families against twenty-three speci fications and scored by a deterministic checker on cases withheld from the producing party, establishes that a party’s record where the work is checked predicts its accuracy where it is not, at a rank correlation of +0.781 across thirty-six parties with repeated measurement, and that a party failing the checked cases passes the withheld ones in zero of one hundred and sixty-eight observations.

Wulf A. Kaal, Reinforcement Learning from Reputation Feedback (2026), Abstract, p. 1
https://ssrn.com/abstract=7456999 · source PDF

Wulf A. Kaal, Reinforcement Learning from Reputation Feedback (2026). SSRN: https://ssrn.com/abstract=7456999

• the measured cohort and parties with repeated measurement

empiricalsupport: evidencedempirical-evidencereputationai-and-agents

The quote above is an exact passage from the source PDF, whose sha256 is 01016fbbcc25cad205cebd59ea686d8dfee8ae9b632095d86ba6c9a900456a4b.
Verify the binding yourself: curl -s https://wulfkaal.github.io/claims/7456999-008.md | sha256sum