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Kazene Trace Protocol v0.1

Kazene Trace Protocol is an open evidence protocol for recording structural fingerprints, provenance signals, and trace records for AI-era creative works.

It does not prove legal ownership or enforce royalties by itself; it prepares verifiable trace evidence that can later connect to Structure Fingerprint, Lineage, Allocation Readiness, Royalty OS, and external licensing frameworks such as RSL.

Trace Protocol records the path of the wind — not the ownership of the wind.


Purpose

AI-era creative works are no longer copied only through surface text.

Ideas, structures, concepts, writing patterns, workflows, protocols, and philosophical architectures can be transformed, summarized, paraphrased, remixed, translated, and reassembled across platforms.

Kazene Trace Protocol v0.1 provides a minimal machine-readable format for recording:

  • where a work or structure appeared,
  • which structural fingerprint is associated with it,
  • what provenance signals support the trace,
  • what evidence references exist,
  • and what ambiguity or overclaiming risks should be noted.

The protocol is designed to support later review, comparison, lineage analysis, allocation readiness, and royalty-related systems without performing those functions directly.


What This Protocol Does

Kazene Trace Protocol v0.1 defines a Trace Record.

A Trace Record documents the relationship between:

  • a source work,
  • a structural fingerprint,
  • provenance evidence,
  • platform context,
  • and risk/ambiguity metadata.

It is an evidence container.

It is not a court.
It is not a royalty engine.
It is not a copyright enforcement system.
It is not an automatic origin-judgment machine.


What This Protocol Does Not Do

Kazene Trace Protocol v0.1 does not:

  • prove legal ownership,
  • determine copyright infringement,
  • enforce royalty payments,
  • assign monetary value,
  • decide final origin claims,
  • replace human review,
  • replace legal judgment,
  • or require external AI platforms to recognize the record.

Instead, it prepares structured trace evidence that other systems may later evaluate.


Design Philosophy

Trace Protocol v0.1 follows a layered design.

Each layer should do one job clearly.

Layer Role
Structure Fingerprint Creates or defines a structural fingerprint
Trace Protocol Records trace evidence and provenance signals
Comparison / Lineage Infers similarity and structural relationships
Allocation Readiness Evaluates whether allocation review is appropriate
Royalty OS Handles value circulation and distribution logic
RSL / External Licensing Connects to external licensing and payment frameworks

Trace Protocol intentionally stays at the evidence layer.

This keeps the protocol stable, lightweight, and reusable.


Core Principle

Trace Protocol is a registry-style evidence layer.

Its core principle is:

Record the trace.
Do not overclaim the judgment.

This is why the schema includes a risk section.

The risk section clarifies that a trace record may support later review, but it should not be misread as final legal proof, automatic royalty entitlement, or absolute origin confirmation.


Repository Structure

.
├── README.md
├── LICENSE
├── CITATION.cff
├── CHANGELOG.md
├── schemas/
│   └── trace-record-v0.1.schema.json
├── examples/
│   └── trace-record.sample.json
├── docs/
│   ├── one-page-overview.md
│   ├── relationship-to-structure-fingerprint.md
│   ├── relationship-to-royalty-os.md
│   ├── rsl-bridge-notes.md
│   └── c2pa-inspired-provenance-notes.md
└── .github/
    └── workflows/
        └── validate-specs.yml

Start Here

If you are new to this repository, read the files in this order:

  1. README.md
    Overview, purpose, design philosophy, non-goals, and repository structure.

  2. docs/one-page-overview.md
    A short one-page summary of the protocol, its role, and its limits.

  3. schemas/trace-record-v0.1.schema.json
    The formal JSON Schema for a Trace Record.

  4. examples/trace-record.sample.json
    A working example of a valid Trace Record.

  5. docs/relationship-to-structure-fingerprint.md
    Explains how Trace Protocol relates to Structure Fingerprint.

  6. docs/relationship-to-royalty-os.md
    Explains how Trace Records may later support Royalty OS without directly handling value distribution.

  7. docs/rsl-bridge-notes.md
    Explains the possible future relationship between Trace Protocol and RSL-style external licensing frameworks.

  8. docs/c2pa-inspired-provenance-notes.md
    Explains the provenance philosophy behind Trace Protocol and its C2PA-inspired design position.

  9. .github/workflows/validate-specs.yml
    GitHub Actions workflow for validating the schema and sample.

  10. LICENSE
    Repository license.

  11. CITATION.cff
    Citation metadata for referencing this specification.

  12. CHANGELOG.md
    Version history and release notes.


Documentation Map

Document Purpose
docs/one-page-overview.md Short overview of the whole protocol
docs/relationship-to-structure-fingerprint.md Defines the boundary between fingerprint generation and trace recording
docs/relationship-to-royalty-os.md Defines the boundary between trace evidence and value circulation
docs/rsl-bridge-notes.md Explains future bridge patterns with external licensing frameworks
docs/c2pa-inspired-provenance-notes.md Explains the provenance-inspired philosophy of the protocol
CITATION.cff Provides citation metadata for academic, technical, or public reference
CHANGELOG.md Records changes across versions

These documents are not separate subsystems.

They are boundary documents.

Their purpose is to prevent Trace Protocol v0.1 from becoming too broad.


Trace Record Overview

A Trace Record contains the following major sections:

Field Purpose
trace_id Unique identifier for the trace record
spec_version Protocol version
created_at Creation timestamp of the trace record
source Source work and creator information
fingerprint Reference to a structural fingerprint
trace_context Platforms, protocols, and implementation references
evidence Evidence signals and evidence references
risk Ambiguity, origin-claim strength, and overclaiming risk
status Lifecycle status of the record
license Optional license or usage note
notes Optional human-readable notes

Minimal Example

{
  "trace_id": "trace_kazene_2026_001",
  "spec_version": "trace-protocol-v0.1",
  "created_at": "2026-05-17T00:00:00Z",
  "source": {
    "creator": "Shidenkai Alpha",
    "creator_id": "@siba834",
    "work_title": "Kazene Trace Protocol v0.1",
    "canonical_url": "https://github.com/SamuraiWriter7/kazene-trace-protocol-v0.1",
    "published_at": "2026-05-17T00:00:00Z",
    "platform": "GitHub",
    "language": "en"
  },
  "fingerprint": {
    "fingerprint_id": "sf_kazene_trace_protocol_001",
    "method": "structure-fingerprint-v0.1",
    "hash": "sha256-0123456789abcdef0123456789abcdef0123456789abcdef0123456789abcdef",
    "canonicalization": "structure-canonical-v0.1"
  },
  "trace_context": {
    "platforms": [
      "GitHub",
      "note",
      "Medium",
      "X",
      "Custom GPTs"
    ],
    "related_protocols": [
      "Structure Fingerprint",
      "Lineage Relation",
      "Allocation Readiness",
      "Kazene Royalty OS",
      "RSL"
    ]
  },
  "evidence": {
    "timestamp_evidence": true,
    "url_evidence": true,
    "signature_evidence": false,
    "repository_evidence": true
  },
  "risk": {
    "origin_claim_strength": "moderate",
    "ambiguity_level": "medium",
    "overclaim_risk": "controlled",
    "notes": "This trace record documents structural provenance signals. It does not prove legal ownership, enforce royalties, or make a final origin judgment."
  },
  "status": "recorded",
  "license": "CC-BY-4.0"
}

For the full example, see:

examples/trace-record.sample.json

Validation

This repository includes a GitHub Actions workflow for validating the sample record against the schema.

Validation runs when changes are made to:

schemas/**
examples/**
.github/workflows/validate-specs.yml

The workflow checks:

  • whether the schema file exists,
  • whether the sample file exists,
  • whether both files are valid JSON,
  • and whether the sample conforms to the JSON Schema Draft 2020-12 schema.

To validate locally:

python -m pip install jsonschema

Then use:

from jsonschema import Draft202012Validator, FormatChecker

The GitHub Actions workflow already includes the full validation script.


Lifecycle Status

A Trace Record may have one of the following statuses:

Status Meaning
draft The trace record is still being prepared
recorded The trace record has been recorded
superseded A newer trace record replaces this one
revoked The trace record has been withdrawn
archived The trace record is preserved for historical reference

The default practical status for a published sample is:

"status": "recorded"

Relationship to Structure Fingerprint

Trace Protocol does not generate structural fingerprints by itself.

Instead, it references a fingerprint produced by an external or related specification, such as:

structure-fingerprint-v0.1

This separation is intentional.

Structure Fingerprint defines the structure.

Trace Protocol records the trace.

By keeping these responsibilities separate, both systems can evolve independently.

For details, see:

docs/relationship-to-structure-fingerprint.md

Relationship to Lineage and Comparison

Trace Protocol does not determine whether one work is derived from another.

It only prepares evidence that may later be used by comparison or lineage systems.

Possible later systems may include:

  • structural similarity comparison,
  • lineage relation modeling,
  • influence mapping,
  • origin-candidate review,
  • or trace-claim generation.

These are downstream functions.

They should not be embedded directly into Trace Protocol v0.1.


Relationship to Allocation Readiness

Trace Protocol does not decide whether value allocation should occur.

However, its records may later support an Allocation Readiness layer.

Allocation Readiness may evaluate whether a trace has enough evidence, clarity, confidence, and review status to be passed into royalty-related systems.

Trace Protocol prepares the record.

Allocation Readiness evaluates whether the record is mature enough for further action.


Relationship to Royalty OS

Kazene Royalty OS and related royalty systems may use Trace Records as evidence inputs.

However, Trace Protocol v0.1 does not include:

  • royalty amounts,
  • payment terms,
  • allocation weights,
  • recipient rules,
  • settlement logic,
  • or enforcement mechanisms.

This is intentional.

Trace Protocol belongs before Royalty OS.

It is the trace ledger, not the treasury.

For details, see:

docs/relationship-to-royalty-os.md

Relationship to RSL and External Licensing

RSL and other licensing frameworks may provide machine-readable ways to express permission, usage terms, attribution, compensation, or AI-related licensing conditions.

Trace Protocol may later connect to such systems as an evidence layer.

However, v0.1 does not implement RSL directly.

Any RSL bridge should remain as a separate document or integration layer.

This keeps Trace Protocol stable even if external licensing frameworks evolve.

For details, see:

docs/rsl-bridge-notes.md

C2PA-Inspired Provenance Position

Trace Protocol is inspired by provenance-oriented systems such as C2PA in a broad architectural sense.

The shared principle is:

Record provenance signals.
Make them verifiable.
Do not decide meaning, legality, or value by the record alone.

Trace Protocol applies this idea to text, concepts, structures, protocols, and AI-era creative works.

It can be understood as a lightweight provenance record for structural and conceptual traces.

For details, see:

docs/c2pa-inspired-provenance-notes.md

Why Risk Metadata Matters

AI-era provenance can easily be overclaimed.

A trace may show strong evidence of structural similarity, but that does not automatically prove legal ownership, direct copying, or exclusive origin.

For this reason, every Trace Record includes risk metadata:

"risk": {
  "origin_claim_strength": "moderate",
  "ambiguity_level": "medium",
  "overclaim_risk": "controlled"
}

This protects the protocol from becoming a tool of careless accusation.

Trace Protocol should support careful review, not reckless judgment.


Example Use Cases

Kazene Trace Protocol v0.1 may be useful for:

  • documenting the origin context of a concept,
  • recording the publication path of a protocol,
  • linking a work to a structural fingerprint,
  • preparing evidence for later lineage review,
  • supporting creator attribution workflows,
  • building AI-era provenance records,
  • connecting future royalty or allocation systems to structured evidence,
  • clarifying evidence boundaries before licensing or payment discussions.

Non-Goals

The following are explicitly outside the scope of v0.1:

  • automatic copyright enforcement,
  • automated royalty payment,
  • legal ownership certification,
  • plagiarism accusation,
  • model training detection,
  • AI company compliance enforcement,
  • final origin judgment,
  • platform-wide adoption requirements,
  • binding RSL implementation,
  • C2PA implementation,
  • or payment-triggering logic.

These may be addressed by other systems or later layers.

They are not part of Trace Protocol v0.1.


Version

Current version:

trace-protocol-v0.1

Release:

v0.1.0

Schema:

schemas/trace-record-v0.1.schema.json

Sample:

examples/trace-record.sample.json

Changelog:

CHANGELOG.md

Citation

If you use or reference this specification, please cite it using the metadata in:

CITATION.cff

Suggested citation label:

Shidenkai Alpha. Kazene Trace Protocol v0.1. 2026.

Suggested Repository Description

An open evidence protocol for recording structural fingerprints, trace records, and provenance signals for AI-era creative works.

Suggested Topics

trace-protocol
structure-fingerprint
provenance
ai-attribution
ai-governance
royalty-os
kazene
content-attribution
digital-provenance

License

This repository is released under the MIT License.

See:

LICENSE

Individual examples, documents, or referenced creative works may carry their own usage notes where explicitly stated.


Final Note

Trace Protocol does not capture the wind.

It records where the wind has passed.

In the AI era, this distinction matters.

A trace is not a verdict.
A fingerprint is not a prison.
A protocol is not a weapon.

Kazene Trace Protocol v0.1 exists to make creative traces clearer, safer, and easier to review across future systems.

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Description: An open evidence protocol for recording structural fingerprints, trace records, and provenance signals for AI-era creative works.

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