Kintsugi Technical Note: Self-Declared Completeness, Independent Grounding, and the Limits of Categorical Repair
This technical note examines a specific epistemic problem in AI governance and audit: the difference between verifying the truth of disclosed evidence and verifying the completeness of the evidentiary record itself. Through a multi-stage adversarial review process, the analysis tested whether categorical refinement, external retention requirements, independent observation channels, or relational reconstruction could close this gap. The result is a provisional recurring pattern: categorical refinement cannot supply a missing epistemic basis. Direct observation of the target fact is not always necessary, but some independently grounded observational or inferential basis is required; relational reconstruction can extract implications from such grounding but cannot manufacture epistemic independence from wholly controlled evidence. The note also distinguishes completeness anomalies from attribution to a specific omitted event and includes an illustrative application to Anthropic’s Project Glasswing / Claude Mythos deployment. The deposit contains two files: the main technical note and a companion audit trail documenting the evidentiary transformation across the adversarial stages while withholding implementation-specific routing and role-to-system mapping. The analysis was conducted through a human-led, AI-assisted adversarial review process. Final ratification of status and the decision to publish remained under human control.
Authors
- Bozena Pasieczna
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-13
- DOI
- https://doi.org/10.5281/zenodo.22737908
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00