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Expand file tree Collapse file tree Original file line number Diff line number Diff line change 1+ cff-version : 1.2.0
2+ message : " If you use this specification, please cite it as below."
3+
4+ title : " AI Purity Detection Algorithm v0.2"
5+ version : " 0.2.0"
6+ date-released : " 2026-05-25"
7+
8+ authors :
9+ - family-names : " Taro"
10+ given-names : " Civilization OS Architect"
11+
12+ repository-code : " https://github.com/SamuraiWriter7/ai-purity-detection-algorithm-v0.2"
13+
14+ keywords :
15+ - " AI Purity Detection"
16+ - " origin purity"
17+ - " AI provenance"
18+ - " synthetic data"
19+ - " natural data"
20+ - " recursive synthetic risk"
21+ - " warning flags"
22+ - " model collapse"
23+ - " source preservation"
24+ - " review routing"
25+ - " Civilization OS"
26+ - " Royalty OS"
27+ - " Trace Protocol"
28+ - " Structure Fingerprint"
29+
30+ license : " MIT"
31+
32+ abstract : |
33+ AI Purity Detection Algorithm v0.2 is a draft specification for estimating origin purity,
34+ AI-generated ratio, warning flags, recursive synthetic risk, and review routing in AI
35+ source-preservation systems.
36+
37+ This specification defines a review-support and ecosystem-health layer for distinguishing
38+ natural, synthetic, hybrid, and recursively generated data without treating AI-assisted
39+ creation as invalid by default.
40+
41+ Version 0.2.0 introduces a draft signal-weighting model, confidence adjustment,
42+ recursive synthetic risk handling, warning-flag severity levels, and schema-validated
43+ example assessments for standard, low-confidence, and recursive synthetic risk cases.
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