ClaimCLM-2026-0204v0.1
H4 — Conventional secret-scanning statistics undercount semantic privacy leakage
Conventional secret-scanning statistics undercount semantic privacy leakage.
Recorded fields
falsification_conditions- Falsified if semantic classes add little beyond literal secret matches. Phase II: the individual-era rule found twice as many repositories with a high warning as the pattern-heavy organization-era rule — suggestive, not a test against real secret scanners.
tags- hypothesis (H)
- integrated edition appendix A
Relations
| Source | Relation | Target | Status | ID |
|---|---|---|---|---|
THY-2026-0204 From secret scanning to semantic privacy | contains | CLM-2026-0204 H4 — Conventional secret-scanning statistics undercount semantic privacy leakage | ACTIVE | REL-2026-0515 |
RST-2026-0204 Individual-era rule finds about twice the high-warning repositories of the organization-era rule (34 vs 17 of 400) | supports | CLM-2026-0204 H4 — Conventional secret-scanning statistics undercount semantic privacy leakage | ACTIVE | REL-2026-0616 |
History and provenance
- Canonical URL
- https://evemisslab.com/ai/claims/CLM-2026-0204/
- Machine-readable
/ai/claims/CLM-2026-0204/index.json- Snapshot
AI-SNAPSHOT-v0.1-58e716495670- Provenance
source- EveMissLab research collection: AI Agent Publication Boundary and Security Closure (真本體論14)
extracted_by- Splice (Claude Code), reading the open-source release's own manifests, locks and pooled outputs, and the hashes of the internal drafts
extracted_at- 2026-10-13
generator- tools/extract_all.py
claim_boundary- status, evidence level and result type follow the source artifact's own stated claim boundary; nothing is upgraded beyond what the report supports