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| 1 | +# Changelog |
| 2 | + |
| 3 | +All notable changes to this repository will be documented in this file. |
| 4 | + |
| 5 | +This project follows a draft-oriented versioning model while the specification remains experimental. |
| 6 | + |
| 7 | +--- |
| 8 | + |
| 9 | +## [Unreleased] |
| 10 | + |
| 11 | +### Planned |
| 12 | + |
| 13 | +- Add additional v0.2 examples for: |
| 14 | + - high-confidence natural-source assessment |
| 15 | + - hybrid structural-originality assessment |
| 16 | + - disputed-origin assessment |
| 17 | + - declaration-conflict assessment |
| 18 | +- Add a dedicated review-routing model document. |
| 19 | +- Add relationship documents for: |
| 20 | + - CollapseMonitor |
| 21 | + - Royalty Readiness |
| 22 | + - Trace Protocol |
| 23 | + - Structure Fingerprint |
| 24 | +- Extend the schema to support: |
| 25 | + - detailed scoring model output |
| 26 | + - warning-flag detail objects |
| 27 | + - recursive synthetic risk output |
| 28 | + - review-routing metadata |
| 29 | + |
| 30 | +### Notes |
| 31 | + |
| 32 | +The next stage should focus on making the v0.2 model more operational without turning purity scoring into automatic legal or financial judgment. |
| 33 | + |
| 34 | +--- |
| 35 | + |
| 36 | +## [0.2.0] - 2026-05-25 |
| 37 | + |
| 38 | +### Added |
| 39 | + |
| 40 | +- Added initial `README.md` for **AI Purity Detection Algorithm v0.2**. |
| 41 | +- Added `docs/v0.2-roadmap.md` to define the proposed direction for the v0.2 specification. |
| 42 | +- Added `docs/scoring-weighting-model.md` to define a draft signal-weighting and confidence-adjusted scoring model. |
| 43 | +- Added `docs/warning-flag-severity-model.md` to define warning-flag severity levels, review routing, and downstream impact handling. |
| 44 | +- Added `schemas/purity-assessment.schema.json` for validating purity assessment examples. |
| 45 | +- Added `examples/purity-assessment.sample.yaml` as a standard purity assessment example. |
| 46 | +- Added `examples/purity-assessment.low-confidence.sample.yaml` to demonstrate weak provenance, unclear origin, low confidence, review-required routing, and blocked royalty-readiness status. |
| 47 | +- Added `examples/purity-assessment.recursive-synthetic-risk.sample.yaml` to demonstrate high recursive synthetic risk, weak primary-source provenance, high AI-pattern similarity, blocked training use, and blocked royalty-readiness status. |
| 48 | +- Added `.github/workflows/validate-examples.yml` to validate YAML examples against the JSON Schema. |
| 49 | +- Added `LICENSE`. |
| 50 | + |
| 51 | +### Defined |
| 52 | + |
| 53 | +- Defined `origin_purity_score` as a normalized estimate of source-origin composition. |
| 54 | +- Defined `ai_generated_ratio` as a separate estimate of AI-generated or AI-assisted content ratio. |
| 55 | +- Defined `warning_flags` as routing and review-support signals. |
| 56 | +- Defined a draft signal-weighting model using: |
| 57 | + - `provenance_evidence_score` |
| 58 | + - `author_declaration_score` |
| 59 | + - `structural_originality_score` |
| 60 | + - `revision_lineage_score` |
| 61 | + - `citation_transparency_score` |
| 62 | + - `ai_pattern_risk_score` |
| 63 | + - `structure_fingerprint_distinctiveness_score` |
| 64 | + - `recursive_synthetic_risk_score` |
| 65 | + - `signal_confidence_quality_score` |
| 66 | +- Defined warning severity levels: |
| 67 | + - `info` |
| 68 | + - `warning` |
| 69 | + - `review_required` |
| 70 | + - `blocking` |
| 71 | +- Defined review-routing modes: |
| 72 | + - `none` |
| 73 | + - `recommended` |
| 74 | + - `required` |
| 75 | + - `blocking_review` |
| 76 | + |
| 77 | +### Validation |
| 78 | + |
| 79 | +- Added GitHub Actions validation for: |
| 80 | + - `examples/purity-assessment.sample.yaml` |
| 81 | + - `examples/purity-assessment.low-confidence.sample.yaml` |
| 82 | + - `examples/purity-assessment.recursive-synthetic-risk.sample.yaml` |
| 83 | +- Confirmed that all three example files pass validation against: |
| 84 | + - `schemas/purity-assessment.schema.json` |
| 85 | + |
| 86 | +### Notes |
| 87 | + |
| 88 | +This release establishes **AI Purity Detection Algorithm v0.2** as a draft algorithmic layer for source-preservation systems. |
| 89 | + |
| 90 | +The specification focuses on: |
| 91 | + |
| 92 | +- origin-purity scoring |
| 93 | +- natural / synthetic data separation |
| 94 | +- hybrid data classification |
| 95 | +- recursive synthetic risk detection |
| 96 | +- warning-flag severity |
| 97 | +- confidence handling |
| 98 | +- review routing |
| 99 | +- downstream-use guidance |
| 100 | +- model-collapse monitoring support |
| 101 | +- royalty-readiness review support |
| 102 | + |
| 103 | +This release does not attempt to: |
| 104 | + |
| 105 | +- prove legal authorship |
| 106 | +- determine copyright ownership |
| 107 | +- automatically assign royalties |
| 108 | +- ban AI-assisted creation |
| 109 | +- punish synthetic content |
| 110 | +- perfectly detect AI-generated text |
| 111 | +- replace human or multi-wing review |
| 112 | + |
| 113 | +The core principle remains: |
| 114 | + |
| 115 | +```text |
| 116 | +Purity is not moral judgment. |
| 117 | +Purity is ecological signal. |
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