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preregistration

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Instruments that check what AI agents claim against committed bytes. The diff gate reads a PR summary against its diff and reports by default. EXTERNAL-1 upheld 23 of 100 sampled accusations, precision 0.23 (85 path claims, styxx 7.47.0; path accusations withheld since). Receipts, failures included, are in the repo.

  • Updated Oct 26, 2026
  • Python

In this repository you are going to find the documents we produced to support the discussion in our Digital Methods of the Month. These documents will help you orienting yourself if you want to pickup the method in your research. Go to the readme file

  • Updated Oct 7, 2026

Historical RV15 forecasts for six U.S. stocks. Option state improves both families; the mixed B2 block improves the linear model only. Source-time assumptions, placebo and final-window limits remain material. Public aggregate checks are not an independent licensed-data replication.

  • Updated Oct 26, 2026
  • Python

Cross-asset price impact is set-identified, not point-identified: the confounding gap has rank at most K + rank(B). A diagonal truth still yields a dense cross-impact matrix, and the trades immune to the resulting cost error form a large but measure-zero subspace. Preregistered and reproducible.

  • Updated Aug 16, 2026
  • Python

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