{"id":50665738,"url":"https://github.com/samuraiwriter7/ktp-trace-intelligence-spec-v0.1","last_synced_at":"2026-06-08T06:05:11.955Z","repository":{"id":358598026,"uuid":"1242039619","full_name":"SamuraiWriter7/ktp-trace-intelligence-spec-v0.1","owner":"SamuraiWriter7","description":"A minimal specification for recording origin candidates and trace intelligence claims within the Kazene Trace 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KTP Trace Intelligence Specification v0.1\n\nA minimal evidence-packet specification for tracing origin candidates, structural influence, and conceptual lineage within the Kazene Trace Protocol.\n\nThis repository defines a machine-readable record for documenting possible origins, structural influence, conceptual similarity, and trace-related evidence for ideas, questions, structures, and AI-generated derivatives.\n\nIt does **not** determine final authorship, ownership, legal liability, or automatic royalty allocation.\n\nIts purpose is to preserve evidence, separate inference from judgment, and support later human or multi-wing review.\n\n---\n\n## Core Principle\n\n\u003e Origin candidates are not final origins.\n\nA Trace Intelligence Record does not claim:\n\n\u003e “This is the true origin.”\n\nInstead, it records:\n\n\u003e “This is a possible origin candidate supported by trace evidence.”\n\nThis distinction is essential.\n\nKTP Trace Intelligence is designed as an observation and evidence layer, not as an enforcement mechanism.\n\n---\n\n## Purpose\n\nThe purpose of this specification is to provide a minimal record format for:\n\n- documenting possible origin candidates;\n- recording structural, semantic, and conceptual influence;\n- preserving evidence without making final judgments;\n- supporting later review, dispute handling, and allocation readiness;\n- preventing premature automatic royalty distribution based only on similarity scores.\n\nThis specification is intended to function as the observation layer of the Kazene Trace Protocol.\n\n---\n\n## Non-Goals\n\nThis specification does not attempt to:\n\n- determine legal authorship;\n- prove copyright ownership;\n- assign final origin status;\n- automatically calculate royalty shares;\n- enforce payments;\n- replace human judgment;\n- replace governance, dispute, or review processes.\n\nTrace intelligence records evidence.\n\nThey do not replace judgment.\n\n---\n\n## Conceptual Position\n\n```text\nKazene Trace Protocol\n        ↓\nTrace Intelligence Record\n        ↓\nOrigin Candidate\n        ↓\nReview / Dispute\n        ↓\nAllocation Readiness\n        ↓\nRoyalty OS\n```\n\nIn this flow, the Trace Intelligence Record acts as the “eye” of the Kazene Trace Protocol.\n\nIt observes possible traces, records supporting evidence, and passes the result to later review layers.\n\nIt does not directly trigger allocation.\n\n---\n\n## Why This Specification Exists\n\nIn AI-mediated creation, ideas, questions, structures, and conceptual patterns can be absorbed, transformed, paraphrased, blended, and regenerated without explicit citation.\n\nTraditional provenance tools can help record metadata, authorship claims, and chain-of-custody information.\n\nHowever, they are often insufficient for tracking abstract structures such as:\n\n- origin questions;\n- conceptual frameworks;\n- philosophical structures;\n- multi-layer reasoning patterns;\n- AI-generated derivatives;\n- implicit structural influence.\n\nKTP Trace Intelligence Specification v0.1 provides a minimal structure for recording such cases safely.\n\nThe goal is not perfect automatic tracing.\n\nThe goal is trustworthy trace documentation.\n\n---\n\n## Design Principles\n\n### 1. Candidate, Not Verdict\n\nA possible origin must be recorded as an origin candidate, not as a final origin.\n\n### 2. Evidence Before Enforcement\n\nNo enforcement, allocation, or penalty should occur directly from a trace record.\n\n### 3. Inference Is Not Judgment\n\nSemantic similarity, structural similarity, and LLM-assisted analysis are forms of inference.\n\nThey require review.\n\n### 4. Human or Multi-Wing Review Required\n\nImportant trace claims should be reviewed by humans, multi-agent systems, or governance processes.\n\n### 5. No Direct Allocation\n\nA Trace Intelligence Record must not directly trigger royalty allocation.\n\nAllocation requires a separate readiness layer.\n\n### 6. Dispute Is Expected\n\nTrace records may be challenged, revised, rejected, or reaffirmed.\n\nDispute handling is part of the lifecycle.\n\n### 7. Transparency Over Certainty\n\nTrace intelligence should prefer visible reasoning and uncertainty over false certainty.\n\nA transparent low-confidence record is safer than an opaque high-confidence claim.\n\n---\n\n## Record Overview\n\nA Trace Intelligence Record may include:\n\n- `trace_id`\n- `record_version`\n- `created_at`\n- `observer`\n- `target`\n- `origin_candidates`\n- `evidence`\n- `analysis`\n- `review_status`\n- `dispute_status`\n- `allocation_readiness`\n- `governance`\n\nThe record separates:\n\n```text\nTarget\n  ↓\nPossible Origin Candidates\n  ↓\nEvidence\n  ↓\nReview Status\n  ↓\nAllocation Readiness\n```\n\nThis separation prevents similarity scores from being mistaken for final truth.\n\n---\n\n## Example Use Cases\n\n### 1. Structural Similarity Detection\n\nAn AI-generated article appears to share a layered structure with an earlier Kazene framework.\n\nA Trace Intelligence Record can document the similarity without claiming direct copying.\n\n### 2. Implicit Absorption\n\nA model output resembles an existing conceptual structure, even though no explicit citation is present.\n\nThe record can mark the relation as `implicit_absorption`.\n\n### 3. Conceptual Influence\n\nA new essay appears to develop ideas that are strongly influenced by an earlier origin question.\n\nThe record can preserve this as a possible trace relation.\n\n### 4. Review Preparation\n\nA trace claim can be passed to a review process before any dispute, allocation, or royalty decision occurs.\n\n---\n\n## Relationship to Kazene Trace Protocol\n\nKazene Trace Protocol is the broader framework for preserving and interpreting traces of origin, influence, and structural inheritance.\n\nThis specification defines one minimal component within that framework:\n\n```text\nTrace Intelligence Record\n```\n\nIts role is to document evidence for possible origin relationships.\n\nIt should be used together with, or in relation to:\n\n- Structure Fingerprint specifications;\n- Origin Token systems;\n- C2PA-inspired provenance records;\n- Chain-of-custody logs;\n- Dispute Registry systems;\n- Allocation Readiness specifications;\n- Royalty OS mechanisms.\n\n---\n\n## Relationship to Structure Fingerprint\n\nStructure Fingerprint focuses on identifying structural patterns in ideas, texts, systems, or conceptual frameworks.\n\nTrace Intelligence Record may use Structure Fingerprint outputs as evidence.\n\nHowever, a structural match alone is not enough to prove origin.\n\nA Trace Intelligence Record should preserve the result as evidence, not convert it into automatic judgment.\n\n---\n\n## Relationship to Allocation Readiness\n\nAllocation Readiness is a later-stage gate.\n\nIt determines whether a trace claim is mature enough to be considered for value distribution, royalty calculation, or institutional handling.\n\nTrace Intelligence Record comes before Allocation Readiness.\n\n```text\nTrace Intelligence Record\n        ↓\nReview / Dispute\n        ↓\nAllocation Readiness\n```\n\nThis prevents premature allocation based on incomplete evidence.\n\n---\n\n## Repository Structure\n\n```text\nktp-trace-intelligence-spec-v0.1/\n├── README.md\n├── LICENSE\n├── CITATION.cff\n├── CHANGELOG.md\n├── spec/\n│   └── trace-intelligence-record-v0.1.yaml\n├── schemas/\n│   └── trace-intelligence-record.schema.json\n├── examples/\n│   ├── trace-intelligence-record.sample.json\n│   └── trace-intelligence-record.minimal.json\n├── docs/\n│   ├── design-principles.md\n│   └── relationship-to-kazene-trace-protocol.md\n└── .github/\n    └── workflows/\n        └── validate-specs.yml\n```\n\n---\n\n## Repository Components\n\n### `README.md`\n\nProvides the overview, purpose, non-goals, core principles, conceptual position, and recommended reading order for the specification.\n\n### `spec/`\n\nContains the human-readable YAML specification for the Trace Intelligence Record.\n\n- `trace-intelligence-record-v0.1.yaml`\n\n### `schemas/`\n\nContains the machine-readable JSON Schema used to validate Trace Intelligence Record examples.\n\n- `trace-intelligence-record.schema.json`\n\n### `examples/`\n\nContains sample Trace Intelligence Records.\n\n- `trace-intelligence-record.sample.json`  \n  A fuller example showing multiple origin candidates, evidence items, analysis notes, review status, dispute status, and governance context.\n\n- `trace-intelligence-record.minimal.json`  \n  A minimal valid example intended for quick implementation and schema validation.\n\n### `docs/`\n\nContains explanatory documents that define the design philosophy and relationship to the broader Kazene Trace Protocol.\n\n- `design-principles.md`  \n  Explains the core safety and governance principles behind the specification.\n\n- `relationship-to-kazene-trace-protocol.md`  \n  Explains how the Trace Intelligence Record fits into the broader Kazene Trace Protocol ecosystem.\n\n### `.github/workflows/`\n\nContains GitHub Actions workflow files.\n\n- `validate-specs.yml`  \n  Validates required files, the YAML specification, JSON Schema, and example records.\n\n### `CHANGELOG.md`\n\nRecords version history and planned changes.\n\n### `CITATION.cff`\n\nProvides citation metadata for referencing this specification.\n\n### `LICENSE`\n\nDefines the license for the repository.\n\n---\n\n## Start Here\n\nRecommended reading order:\n\n1. `README.md`\n2. `docs/design-principles.md`\n3. `spec/trace-intelligence-record-v0.1.yaml`\n4. `schemas/trace-intelligence-record.schema.json`\n5. `examples/trace-intelligence-record.minimal.json`\n6. `examples/trace-intelligence-record.sample.json`\n7. `docs/relationship-to-kazene-trace-protocol.md`\n8. `CHANGELOG.md`\n\nFor implementation, start with:\n\n```text\nschemas/trace-intelligence-record.schema.json\nexamples/trace-intelligence-record.minimal.json\n```\n\nFor conceptual understanding, start with:\n\n```text\ndocs/design-principles.md\ndocs/relationship-to-kazene-trace-protocol.md\n```\n\n---\n\n## Schema Usage\n\nTrace Intelligence Records are validated using:\n\n```text\nschemas/trace-intelligence-record.schema.json\n```\n\nExample records are provided in:\n\n```text\nexamples/trace-intelligence-record.minimal.json\nexamples/trace-intelligence-record.sample.json\n```\n\nA valid record must include:\n\n- `trace_id`\n- `record_version`\n- `created_at`\n- `observer`\n- `target`\n- `origin_candidates`\n- `evidence`\n- `review_status`\n- `allocation_readiness`\n\nThe schema enforces the structural validity of the record.\n\nHowever, schema validation does not mean that a trace claim is true.\n\nValidation only means that the record is correctly formed.\n\n---\n\n## Validation\n\nThis repository includes a GitHub Actions workflow for validation:\n\n```text\n.github/workflows/validate-specs.yml\n```\n\nThe workflow checks:\n\n- required repository files;\n- YAML specification structure;\n- JSON Schema validity;\n- example record validation;\n- basic semantic safety conditions.\n\nValidation is automatically triggered on:\n\n- push to `main`;\n- pull requests to `main`;\n- manual workflow dispatch.\n\nA passing workflow indicates that the core specification files and example records are structurally valid.\n\nIt does not indicate final origin judgment, ownership, or allocation readiness.\n\n---\n\n## Safety Boundary\n\nA Trace Intelligence Record is an evidence packet.\n\nIt may support later review, but it must not be treated as:\n\n- a legal judgment;\n- a final authorship claim;\n- a final ownership claim;\n- an automatic royalty trigger;\n- a moderation decision;\n- an enforcement action.\n\nThe specification is designed to preserve traces without weaponizing them.\n\n---\n\n## Status\n\nDraft v0.1.0.\n\nThis specification is experimental and intended for discussion, prototyping, and early implementation.\n\nIt should not be used as a legal determination system or automatic royalty enforcement mechanism.\n\n---\n\n## Citation\n\nCitation metadata is provided in:\n\n```text\nCITATION.cff\n```\n\nIf you use this specification, please cite it using the information provided there.\n\n---\n\n## License\n\nThis project is licensed under the MIT License.\n\nSee `LICENSE` for details.\n\n---\n\n## Changelog\n\nSee `CHANGELOG.md`.\n\n---\n\n## Key Statement\n\nTrace intelligence is not the same as origin judgment.\n\nA trace record is an evidence packet.\n\nIt observes, preserves, and prepares.\n\nIt does not decide, punish, or allocate.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamuraiwriter7%2Fktp-trace-intelligence-spec-v0.1","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsamuraiwriter7%2Fktp-trace-intelligence-spec-v0.1","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamuraiwriter7%2Fktp-trace-intelligence-spec-v0.1/lists"}