v0.1.1
This release expands the PurityProtocol layer from a conceptual component into a documented, example-backed, and CI-validated specification layer.
Added
- Added
docs/purity-detection-algorithm.md - Added
examples/purity-assessment.sample.yaml - Added
schemas/purity-assessment.schema.json - Added
.github/workflows/validate-examples.yml - Added README validation documentation
Changed
- Updated README Status to
v0.1.1 - Updated Repository Structure and Start Here sections
- Updated
CHANGELOG.md - Updated
CITATION.cffversion to0.1.1
Notes
This release strengthens the purity assessment layer for:
- natural / synthetic data separation
- hybrid data classification
- recursive synthetic data risk detection
- model-collapse monitoring
- reference auditing
- royalty-readiness review
This release does not define legal authorship, copyright ownership, or final royalty allocation.