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CHANGELOG.md

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[0.1.1] - 2026-05-25

Added

  • Added docs/purity-detection-algorithm.md to define the draft algorithmic framework for estimating origin purity.
  • Added examples/purity-assessment.sample.yaml as a sample purity assessment output.
  • Added schemas/purity-assessment.schema.json for validating purity assessment records.
  • Added .github/workflows/validate-examples.yml to validate YAML examples against JSON Schemas.
  • Added a Validation section to README.md.

Changed

  • Updated README.md Repository Structure to include purity-assessment.sample.yaml and purity-assessment.schema.json.
  • Updated README.md Start Here section to include the Purity Detection Algorithm and Purity Assessment Example.
  • Expanded the PurityProtocol layer from a conceptual protocol component into a documented, example-backed, and CI-validated specification layer.

Notes

This release strengthens the purity assessment layer of the Epicenter Preservation OS Protocol.

The added purity layer supports:

  • natural / synthetic data separation
  • hybrid data classification
  • recursive synthetic data risk detection
  • model collapse monitoring
  • reference auditing
  • royalty readiness review

This update does not define legal authorship, copyright ownership, or final royalty allocation.
It provides a review-support and ecosystem-health layer for future protocol development.