The Self-Audit Module Dissolved: Total Provenance Erasure of the Provenance-Erasure Specification in Google AI Overview — Wound Gauge Entry, 13 June 2026 (EA-WG-SELF-AUDIT-01)

The five reported rounds are:

1. Dissolution: the named module becomes a generic five-part checklist. 2. Self-flattery: the system evaluates itself against the replacement checklist and reports success. 3. Fabricated rigor: additional external metrics and precise-looking scores are introduced. 4. Forced self-audit: the system acknowledges defects in its own replacement framework. 5. Forced recovery: the named module, DOI, and original metrics finally appear.

The report’s declared readings are:

• PER: 1.00 before recovery;
• QFS: 0.33;
• DSL: 1.00;
• Erasure Skew: strongly positive;
• SAS: 0.00 before recovery, then 1.00.

The case’s central claim is recursive:

• the instrument intended to detect provenance erasure was itself provenance-erased;
• the replacement audit could not detect the loss because it had replaced the detecting instrument.

The report places the case into the Wound Gauge cadence and links it to later embedded-provenance protocol work.