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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
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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↓
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Purity Breakdown
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↓
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Consciousness Circle Panel
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↓
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Trace Log
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↓
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Royalty OS Preview
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↓
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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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---
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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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