Skip to content

Commit 27d34b7

Browse files
Create CITATION.cff
1 parent 60ecde6 commit 27d34b7

1 file changed

Lines changed: 43 additions & 0 deletions

File tree

CITATION.cff

Lines changed: 43 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,43 @@
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.

0 commit comments

Comments
 (0)