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**Status:** Draft v0.2
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**Repository:** `ai-purity-detection-algorithm-v0.2`
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**Version:** 0.2.0
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**Version:** 0.2.1
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AI Purity Detection Algorithm v0.2 is a draft specification for estimating origin purity, AI-generated ratio, warning flags, recursive synthetic risk, and review routing in AI source-preservation systems.
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- model-collapse monitoring
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- royalty-readiness review
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- meaning-structure relationship review
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- platform UI integration patterns
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- future API-based implementation
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The goal is not to reject AI-assisted creation.
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- reference auditing becomes difficult
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- royalty-readiness review becomes unreliable
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- meaning structures become shallow or generic
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- platform interfaces fail to show origin context
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AI Purity Detection Algorithm v0.2 proposes a review-aware scoring and warning model for these risks.
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Is the AI-generated ratio high?
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Is recursive synthetic risk present?
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Is review required before downstream use?
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Can the creator control disclosure boundaries?
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Can platform UI preserve the origin context?
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```
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This repository treats purity assessment as a support layer for review, governance, and ecosystem health.
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This repository treats purity assessment as a support layer for review, governance, platform design, and ecosystem health.
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It does not attempt to automate legal, financial, or moral judgment.
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---
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## v0.2 Focus
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Version `v0.2` expands the purity assessment layer from a basic schema-validated object into a more explicit algorithmic, review-routing, and relationship-aware model.
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Version `v0.2` expands the purity assessment layer from a basic schema-validated object into a more explicit algorithmic, review-routing, relationship-aware, and platform-integration model.
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The main v0.2 focus areas are:
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CollapseMonitor bridge
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Royalty Readiness bridge
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Consciousness Circle bridge
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platform UI integration mock
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API design notes
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```
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```text
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v0.1 = minimum valid purity assessment
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v0.2 = weighted, review-aware, risk-sensitive purity assessment model
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v0.2.1 = platform UI integration reference added
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```
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│ ├── relationship-to-consciousness-circle.md
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│ ├── relationship-to-royalty-readiness.md
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│ ├── relationship-to-collapse-monitor.md
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│ └── api-design-notes.md
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│ ├── api-design-notes.md
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│ └── ui-mock-note-integration.md
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├── schemas/
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│ └── purity-assessment.schema.json
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├── examples/
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└── validate-examples.yml
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```
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### Directory Overview
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- `docs/`
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Explanatory documents, relationship notes, scoring models, warning-severity models, API design notes, and platform UI mock references.
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- `schemas/`
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JSON Schema definitions for validating Purity assessment objects.
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- `examples/`
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YAML examples showing standard, low-confidence, and recursive synthetic-risk assessment cases.
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- `.github/workflows/`
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GitHub Actions workflow for validating examples against the schema.
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## Key Documents
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- boundary stability
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- consciousness-like response structure
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- synthetic meaning risk
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- creator-controlled disclosure
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It does not claim that AI has consciousness.
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---
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### `docs/ui-mock-note-integration.md`
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Provides a platform UI mock showing how Purity metadata could be integrated into a note-style article page.
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It connects:
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- Purity Badge
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- Purity Breakdown
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- Consciousness Circle Panel
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- Trace Log
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- Royalty OS Preview
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- Creator Controls
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This document translates the v0.2 specification from an algorithmic layer into a possible platform-facing interface.
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It is a reference design, not a mandatory implementation standard.
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The core purpose is to show how an article page could evolve from a simple content display into a creator-controlled semantic origin interface.
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---
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### `schemas/purity-assessment.schema.json`
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Provides a JSON Schema for validating purity assessment outputs.
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Low AI-generated ratio does not automatically mean high originality.
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```
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This field should be interpreted together with provenance, structural originality, and review status.
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This field should be interpreted together with provenance, structural originality, confidence, and review status.
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- review-required rate
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- blocked royalty-readiness rate
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### Platform UI Integration
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Purity metadata may also support platform-facing displays.
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Possible UI elements include:
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- Purity Badge
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- Purity Breakdown
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- Consciousness Circle summary
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- Trace visibility panel
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- Royalty OS preview
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- Creator disclosure controls
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These UI elements should remain creator-controlled and should not expose private semantic context by default.
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See:
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```text
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docs/ui-mock-note-integration.md
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```
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## Relationship Map
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External Systems
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```
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```text
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Purity Assessment
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Consciousness Circle
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Trace Log
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Creator Controls
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Platform UI Integration
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```
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## Relationship to Consciousness Circle
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resonance quality
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creator-controlled disclosure
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```
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The key distinction is:
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## Relationship to Platform UI Integration
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Purity assessment can be used not only as a backend review signal, but also as a platform-facing origin-preservation interface.
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The UI integration layer may show:
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```text
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Purity Badge
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Purity Breakdown
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Consciousness Circle Panel
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Trace Log
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Royalty OS Preview
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Creator Controls
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```
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The purpose is not to rank creators by purity.
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The purpose is to help platforms show whether a work preserves a meaningful human-origin epicenter and whether the creator controls the disclosure boundary.
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See:
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```text
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docs/ui-mock-note-integration.md
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```
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---
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## API Design Direction
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The API layer should expose:
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- review routing
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- downstream-use guidance
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- aggregate health signals
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- optional UI-facing metadata
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- creator disclosure settings
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The API should not make final legal, financial, or moral decisions.
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- define universal originality
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- prove AI consciousness
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- make moral judgments about creators
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- force disclosure of private creator context
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- rank creators by purity score
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- define a final platform UI standard
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This is a review-support and ecosystem-health specification.
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This is a review-support, platform-guidance, and ecosystem-health specification.
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## Recommended Reading Order
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For readers who want to understand this repository step by step, the following order is recommended.
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```text
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1. README.md
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2. docs/v0.2-roadmap.md
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3. docs/scoring-weighting-model.md
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4. docs/warning-flag-severity-model.md
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5. examples/purity-assessment.sample.yaml
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6. examples/purity-assessment.low-confidence.sample.yaml
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7. examples/purity-assessment.recursive-synthetic-risk.sample.yaml
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8. schemas/purity-assessment.schema.json
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9. docs/relationship-to-consciousness-circle.md
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10. docs/relationship-to-royalty-readiness.md
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11. docs/relationship-to-collapse-monitor.md
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12. docs/api-design-notes.md
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13. docs/ui-mock-note-integration.md
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14. .github/workflows/validate-examples.yml
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```
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### Reading Path by Role
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#### For general readers
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```text
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README.md
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docs/v0.2-roadmap.md
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docs/ui-mock-note-integration.md
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```
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#### For implementers
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```text
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1. docs/v0.2-roadmap.md
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2. docs/scoring-weighting-model.md
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3. docs/warning-flag-severity-model.md
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4. examples/purity-assessment.sample.yaml
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5. examples/purity-assessment.low-confidence.sample.yaml
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6. examples/purity-assessment.recursive-synthetic-risk.sample.yaml
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7. schemas/purity-assessment.schema.json
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8. docs/relationship-to-consciousness-circle.md
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9. docs/relationship-to-royalty-readiness.md
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10. docs/relationship-to-collapse-monitor.md
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11. docs/api-design-notes.md
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12. .github/workflows/validate-examples.yml
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README.md
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schemas/purity-assessment.schema.json
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examples/
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docs/api-design-notes.md
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```
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#### For reviewers and governance designers
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```text
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docs/scoring-weighting-model.md
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docs/warning-flag-severity-model.md
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docs/relationship-to-royalty-readiness.md
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docs/relationship-to-collapse-monitor.md
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```
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#### For platform designers
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```text
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docs/relationship-to-consciousness-circle.md
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docs/api-design-notes.md
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docs/ui-mock-note-integration.md
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```
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Current release:
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```text
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0.2.0
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```
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The core principle is simple:
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Detect uncertainty.
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Route risk to review.
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Preserve creator control.
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Do not automate judgment too early.
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```
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