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CHANGELOG.md

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## [0.1.1] - 2026-05-25
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### Added
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- Added `docs/purity-detection-algorithm.md` to define the draft algorithmic framework for estimating origin purity.
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- Added `examples/purity-assessment.sample.yaml` as a sample purity assessment output.
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- Added `schemas/purity-assessment.schema.json` for validating purity assessment records.
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- Added `.github/workflows/validate-examples.yml` to validate YAML examples against JSON Schemas.
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- Added a `Validation` section to `README.md`.
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### Changed
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- Updated `README.md` Repository Structure to include `purity-assessment.sample.yaml` and `purity-assessment.schema.json`.
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- Updated `README.md` Start Here section to include the Purity Detection Algorithm and Purity Assessment Example.
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- Expanded the `PurityProtocol` layer from a conceptual protocol component into a documented, example-backed, and CI-validated specification layer.
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### Notes
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This release strengthens the purity assessment layer of the Epicenter Preservation OS Protocol.
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The added purity layer supports:
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- natural / synthetic data separation
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- hybrid data classification
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- recursive synthetic data risk detection
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- model collapse monitoring
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- reference auditing
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- royalty readiness review
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This update does not define legal authorship, copyright ownership, or final royalty allocation.
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It provides a review-support and ecosystem-health layer for future protocol development.

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