Trace Relay Protocol

Trace Relay Protocol is a lightweight protocol for preserving, relaying, transforming, auditing, re-igniting, and governing conceptual traces across dialogues, memory layers, AI wings, derivative structures, value-return systems, and human review gates.

It treats important insights, questions, structures, judgments, tensions, symbolic definitions, and dialogue-generated concepts as traces that can be recorded, handed off, routed, transformed, diff-audited, re-ignited, bridged to value-return logic, structurally audited, and approved by a human gate.

Core Idea

A normal conversation log preserves what happened.

A trace relay preserves what should continue.

Trace Relay Protocol is designed to transform temporary dialogue depth into a persistent, auditable stream of thought.

Record -> Handoff -> Route -> Transform -> Diff -> Re-Ignition -> Royalty Bridge -> Structural Audit -> Human Gate -> Unified Lifecycle

Or, in a broader Civilization OS flow:

Origin -> Trace -> Relay -> Derivative -> Audit -> Return -> Re-Ignition

What is a Trace?

A trace is not just a note or a log entry.

A trace is a seed of latent structure.

Examples:

A key insight from a dialogue
A recurring question
A conceptual distinction
A structural tension
A philosophical definition
A symbolic framing
A memory seed for future development
A protocol idea that may later become a schema, article, repository, book, GPT, or derivative structure

What is Trace Relay?

Trace Relay is the process of preserving a trace and handing it forward into a new context.

The relay process usually includes:

Referencing prior traces
Generating a new question or ignition
Reflecting the preserved structure
Producing a new trace
Handing that trace forward into the next route
Transforming the trace under explicit rules
Recording what changed during transformation
Re-igniting the trace when a new context appears
Connecting the trace to derivative, audit, and value-return structures
Passing final escalation through human approval

Design Principle

Trace Relay Protocol does not claim that AI memory is equivalent to human consciousness.

Instead, it defines a practical structure for preserving and relaying conceptual traces while keeping human review, authorship, lineage, transformation, audit, and boundary awareness explicit.

A trace may evolve, but it must not lose its origin.

No silent mutation.
No invisible origin erasure.
No derivative without diff.
No royalty without lineage.
No final claim without human gate.

Yin-Yang Interpretation

Trace Relay can also be understood through a yin-yang structure.

Layer	Role
Yang Layer	New questions, insights, and human ignition
Yin Layer	Preserved traces, memory seeds, and structural reflection
Relay	Circulation between prior traces and new questions
Tuning	Human review and boundary preservation

In this view, human inquiry acts as yang ignition, while AI-assisted memory and reflection act as a yin structural layer.

Protocol Layers

Version	Layer	Purpose
v0.1	Trace Relay Record	Records conceptual traces as memory circulation units
v0.2	Trace Handoff Layer	Transfers traces into another context, wing, layer, or derivative structure
v0.3	Multi-Wing Trace Route	Routes traces through multiple specialized AI wings
v0.4	Trace Transformation Rules	Controls how traces may be transformed without breaking lineage
v0.5	Trace Diff / Mutation Log	Records what changed during transformation
v0.6	Re-Ignition Layer	Reactivates audited traces into new questions or routes
v0.7	Royalty OS Bridge	Connects trace lineage to attribution and value-return preparation
v0.8	Structural Audit Bridge	Verifies causality, evidence, dependency, and claim legitimacy
v0.9	Human Gate Approval Receipt	Records the human decision after structural audit
v1.0	Unified Trace Relay Lifecycle	Tracks the full lifecycle and next-cycle conditions

Core distinction:

Trace Relay = memory circulation
Trace Handoff = memory transfer
Multi-Wing Trace Route = memory orchestration
Trace Transformation Rules = memory mutation control
Trace Diff / Mutation Log = memory change audit
Re-Ignition Layer = memory reactivation
Royalty OS Bridge = memory value-return preparation
Structural Audit Bridge = memory causality verification
Human Gate Approval Receipt = memory governance approval
Unified Trace Relay Lifecycle = memory lifecycle continuity

v0.1 Scope — Trace Relay Record

Version 0.1 defines the minimum record format for a trace relay.

A Trace Relay Record captures:

the origin trace
the relay context
preserved yin-layer elements
new yang-layer ignitions
relay output
handoff candidates
audit and human review requirements

v0.1 Files

schemas/trace-relay-record.schema.json
examples/trace-relay-record.example.yaml

v0.1 Record Structure

A Trace Relay Record contains:

origin_trace
relay_context
yin_layer
yang_layer
relay_output
handoff
audit

Trace Relay Flow

Human question
  ↓
AI reflection
  ↓
Trace generated
  ↓
Trace preserved
  ↓
New question emerges
  ↓
Trace handed forward

v0.2 Scope — Trace Handoff Layer

Version 0.2 introduces the Trace Handoff Layer.

While v0.1 defines how a trace is recorded and relayed as a memory circulation unit, v0.2 defines how that trace can be handed off to another dialogue, AI wing, memory layer, audit layer, repository, document, derivative structure, or external system.

What is Trace Handoff?

Trace Handoff is the process of transferring a preserved conceptual trace into a new operational context.

A handoff record answers:

What trace is being handed off?
Where did it come from?
Where is it going?
Which elements must be preserved?
What transformation is intended?
What boundaries must not be crossed?
Who must review the handoff?
How should the lineage continue?

v0.2 Files

schemas/trace-handoff-record.schema.json
examples/trace-handoff-record.example.yaml

v0.2 Record Structure

A Trace Handoff Record contains:

source_trace
handoff_source
handoff_target
handoff_payload
route
continuity
audit

Handoff Flow

Source Trace
  ↓
Handoff Source
  ↓
Handoff Payload
  ↓
Target Layer / Wing / Structure
  ↓
Continuity Check
  ↓
Human Review

v0.3 Scope — Multi-Wing Trace Route

Version 0.3 introduces the Multi-Wing Trace Route.

While v0.1 defines how a conceptual trace is recorded, and v0.2 defines how a trace is handed off into another context, v0.3 defines how a trace can move across multiple specialized AI wings.

What is a Multi-Wing Trace Route?

A Multi-Wing Trace Route is a route definition for passing a conceptual trace across specialized wings such as:

Finder Wing
Analyst Wing
Memory Wing
Audit Wing
Mythos Regulator Wing
Human Gate

Each wing receives a trace payload, performs only its allowed operations, preserves required trace elements, and passes the result forward under explicit continuity and audit rules.

v0.3 Files

schemas/multi-wing-trace-route.schema.json
examples/multi-wing-trace-route.example.yaml

v0.3 Record Structure

A Multi-Wing Trace Route contains:

source_handoff
route_purpose
wings
route_sequence
continuity_rules
blocking_conditions
human_gate
audit

Route Flow

Source Handoff
  ↓
Finder Wing
  ↓
Analyst Wing
  ↓
Memory Wing
  ↓
Audit Wing
  ↓
Mythos Regulator Wing
  ↓
Human Gate

v0.4 Scope — Trace Transformation Rules

Version 0.4 introduces Trace Transformation Rules.

While v0.1 records traces, v0.2 hands them off, and v0.3 routes them across multiple wings, v0.4 defines how traces may be transformed without losing lineage, authorship boundaries, semantic integrity, or human review.

What are Trace Transformation Rules?

Trace Transformation Rules define:

What transformations are allowed
What transformations are prohibited
Which trace elements must be preserved
How much semantic drift is acceptable
When a diff summary is required
When human review is required
When mythic or symbolic language must be regulated

v0.4 Files

schemas/trace-transformation-rule.schema.json
examples/trace-transformation-rule.example.yaml

v0.4 Record Structure

A Trace Transformation Rule contains:

applies_to
source_route
transformation_scope
allowed_transformations
prohibited_transformations
preservation_requirements
mutation_controls
risk_assessment
output_requirements
audit

Transformation Flow

Source Trace
  ↓
Route Context
  ↓
Allowed Transformation
  ↓
Preservation Check
  ↓
Mutation Control
  ↓
Risk Assessment
  ↓
Audit / Human Review

v0.5 Scope — Trace Diff / Mutation Log

Version 0.5 introduces Trace Diff / Mutation Log.

While v0.1 records traces, v0.2 hands them off, v0.3 routes them across multiple wings, and v0.4 defines transformation rules, v0.5 records what actually changed during transformation.

What is a Trace Diff / Mutation Log?

A Trace Diff / Mutation Log records:

what was preserved
what was added
what was removed
what was modified
how much semantic drift occurred
whether lineage was preserved
whether authorship boundaries remained intact
whether symbolic / factual distinction remained clear
whether human review is required
whether the trace is approved for the next handoff

v0.5 Files

schemas/trace-diff-mutation-log.schema.json
examples/trace-diff-mutation-log.example.yaml

v0.5 Record Structure

A Trace Diff / Mutation Log contains:

source_trace
source_rule
mutation_context
before_state
after_state
diff_summary
mutation_events
preservation_check
risk_delta
approval
audit

Mutation Audit Flow

Before State
  ↓
Mutation Events
  ↓
After State
  ↓
Diff Summary
  ↓
Preservation Check
  ↓
Risk Delta
  ↓
Approval / Audit

v0.6 Scope — Re-Ignition Layer

Version 0.6 introduces the Re-Ignition Layer.

While v0.1 records traces, v0.2 hands them off, v0.3 routes them across multiple wings, v0.4 controls transformation, and v0.5 records mutation diffs, v0.6 defines how an audited trace can be reactivated into a new question, derivative route, protocol extension, audit bridge, or value-return layer.

What is Re-Ignition?

Re-Ignition is the process of activating a preserved and audited trace when a new context becomes relevant.

A trace should not remain dormant forever.

However, a trace should also not be reused without conditions.

Re-Ignition defines:

which trace is being reactivated
what triggered the reactivation
which conditions must be satisfied
what new question is being formed
which boundaries must remain intact
whether the new context is compatible
where the trace should go next

v0.6 Files

schemas/trace-re-ignition-record.schema.json
examples/trace-re-ignition-record.example.yaml

v0.6 Record Structure

A Trace Re-Ignition Record contains:

source_trace
trigger_context
re_ignition_conditions
activation_plan
context_compatibility
boundary_controls
re_ignition_output
audit

Re-Ignition Flow

Audited Trace
  ↓
Trigger Context
  ↓
Re-Ignition Conditions
  ↓
Context Compatibility Check
  ↓
Activation Plan
  ↓
Boundary Controls
  ↓
New Trace / Next Route
  ↓
Audit / Human Review

v0.7 Scope — Royalty OS Bridge

Version 0.7 introduces the Royalty OS Bridge.

While v0.6 defines how audited traces can be re-ignited into new questions or routes, v0.7 defines how those re-ignited traces may connect to derivative structures, attribution, contribution assessment, and value-return logic.

What is Royalty OS Bridge?

Royalty OS Bridge is the process of connecting trace lineage to value-return structures.

It does not automatically grant monetary royalty.

Instead, it prepares auditable attribution and value-return conditions by recording:

which trace was re-ignited
what derivative structure was created
which traces contributed to the derivative
who or what contributed to the structure
what kind of value return is being considered
what allocation logic is proposed
what conditions must be satisfied
what claims are blocked until audit

v0.7 Files

schemas/trace-royalty-bridge.schema.json
examples/trace-royalty-bridge.example.yaml

v0.7 Record Structure

A Trace Royalty Bridge contains:

source_re_ignition
derivative_context
lineage_basis
contribution_assessment
value_return_scope
allocation_rules
eligibility_conditions
royalty_receipt_output
audit

Royalty Bridge Flow

Re-Ignited Trace
  ↓
Derivative Context
  ↓
Lineage Basis
  ↓
Contribution Assessment
  ↓
Value Return Scope
  ↓
Allocation Rules
  ↓
Eligibility Conditions
  ↓
Royalty Receipt Output
  ↓
Audit / Human Review

v0.8 Scope — Structural Audit Bridge

Version 0.8 introduces the Structural Audit Bridge.

While v0.7 connects re-ignited traces to attribution and value-return preparation, v0.8 verifies whether derivative, attribution, royalty, or value-return claims are actually supported by structural causality, trace lineage, evidence, and human review.

What is Structural Audit Bridge?

Structural Audit Bridge is the process of checking whether a claim is structurally justified.

It asks:

What claim is being audited?
Which trace or derivative does it depend on?
What evidence supports the claim?
What causal links exist?
What links are missing?
Is the similarity strong enough to require attribution?
Is dependency strong enough to justify value-return review?
Which claims are allowed?
Which claims must remain blocked?
What must be revised before the next handoff?

v0.8 Files

schemas/structural-audit-bridge.schema.json
examples/structural-audit-bridge.example.yaml

v0.8 Record Structure

A Structural Audit Bridge contains:

source_royalty_bridge
audit_subject
structural_causality
evidence_map
similarity_assessment
dependency_assessment
attribution_review
value_claim_review
audit_decision
handoff
audit

Structural Audit Flow

Royalty Bridge
  ↓
Audit Subject
  ↓
Structural Causality
  ↓
Evidence Map
  ↓
Similarity / Dependency Assessment
  ↓
Attribution Review
  ↓
Value Claim Review
  ↓
Audit Decision
  ↓
Next Handoff

v0.9 Scope — Human Gate Approval Receipt

Version 0.9 introduces the Human Gate Approval Receipt.

While v0.8 verifies whether derivative, attribution, royalty, or value-return claims are supported by structural causality and evidence, v0.9 records the human decision that follows that audit.

What is Human Gate Approval Receipt?

Human Gate Approval Receipt records:

what structural audit was reviewed
what subject was being approved
who reviewed it
what decision was made
what scope was approved
what scope was rejected
what conditions must be satisfied
what risks were acknowledged
what next handoff is allowed
what remains blocked

It is the human decision layer of the Trace Relay Protocol.

v0.9 Files

schemas/human-gate-approval-receipt.schema.json
examples/human-gate-approval-receipt.example.yaml

v0.9 Record Structure

A Human Gate Approval Receipt contains:

source_structural_audit
approval_subject
reviewer
decision
approved_scope
rejected_scope
conditions
risk_acknowledgement
next_handoff
audit

Human Gate Flow

Structural Audit
  ↓
Approval Subject
  ↓
Human Reviewer
  ↓
Decision
  ↓
Approved / Rejected Scope
  ↓
Conditions
  ↓
Risk Acknowledgement
  ↓
Next Handoff

v1.0 Scope — Unified Trace Relay Lifecycle

Version 1.0 introduces the Unified Trace Relay Lifecycle.

This release unifies the first full lifecycle of the Trace Relay Protocol.

While v0.1–v0.9 define individual layers, v1.0 defines the complete lifecycle state that connects them.

What is Unified Trace Relay Lifecycle?

Unified Trace Relay Lifecycle tracks a conceptual trace across the full process:

Record -> Handoff -> Route -> Transform -> Diff -> Re-Ignition -> Royalty Bridge -> Structural Audit -> Human Gate -> Next Cycle

It answers:

Where did the trace originate?
Which records belong to the lifecycle?
Which phases were completed?
What is the current lifecycle state?
What conditions remain open?
Which claims are blocked?
Is the next cycle allowed?
What must be preserved?
What must not be claimed?
Has human review been completed?

v1.0 Files

schemas/unified-trace-relay-lifecycle.schema.json
examples/unified-trace-relay-lifecycle.example.yaml

v1.0 Record Structure

A Unified Trace Relay Lifecycle contains:

origin_summary
layer_refs
phase_sequence
current_state
completion_criteria
continuity_controls
next_cycle
governance
audit

Lifecycle Flow

Trace Birth
  ↓
Relay Record
  ↓
Handoff
  ↓
Multi-Wing Route
  ↓
Transformation
  ↓
Mutation Diff
  ↓
Re-Ignition
  ↓
Royalty Bridge
  ↓
Structural Audit
  ↓
Human Gate Approval
  ↓
Lifecycle Completion / Next Cycle

v1.0 Design Principle

A dialogue-generated trace should not disappear.

It should become a trace, then a lineage, then an auditable continuity record.

Unified Trace Relay Lifecycle does not replace the individual layer records.

Instead, it connects them into one lifecycle state.

In short:

From dialogue to trace.
From trace to lineage.
From lineage to auditable continuity.

Repository Structure

trace-relay-protocol/
├── README.md
├── CHANGELOG.md
├── schemas/
│   ├── trace-relay-record.schema.json
│   ├── trace-handoff-record.schema.json
│   ├── multi-wing-trace-route.schema.json
│   ├── trace-transformation-rule.schema.json
│   ├── trace-diff-mutation-log.schema.json
│   ├── trace-re-ignition-record.schema.json
│   ├── trace-royalty-bridge.schema.json
│   ├── structural-audit-bridge.schema.json
│   ├── human-gate-approval-receipt.schema.json
│   └── unified-trace-relay-lifecycle.schema.json
├── examples/
│   ├── trace-relay-record.example.yaml
│   ├── trace-handoff-record.example.yaml
│   ├── multi-wing-trace-route.example.yaml
│   ├── trace-transformation-rule.example.yaml
│   ├── trace-diff-mutation-log.example.yaml
│   ├── trace-re-ignition-record.example.yaml
│   ├── trace-royalty-bridge.example.yaml
│   ├── structural-audit-bridge.example.yaml
│   ├── human-gate-approval-receipt.example.yaml
│   └── unified-trace-relay-lifecycle.example.yaml
├── scripts/
│   └── validate_examples.py
└── .github/
    └── workflows/
        └── validate.yml

Validation

Install dependencies:

pip install pyyaml jsonschema

Run validation:

python scripts/validate_examples.py

Expected output:

[validate] Trace Relay Record
  schema : schemas/trace-relay-record.schema.json
  example: examples/trace-relay-record.example.yaml
[ok] trace-relay-record.example.yaml is valid
[validate] Trace Handoff Record
  schema : schemas/trace-handoff-record.schema.json
  example: examples/trace-handoff-record.example.yaml
[ok] trace-handoff-record.example.yaml is valid
[validate] Multi-Wing Trace Route
  schema : schemas/multi-wing-trace-route.schema.json
  example: examples/multi-wing-trace-route.example.yaml
[ok] multi-wing-trace-route.example.yaml is valid
[validate] Trace Transformation Rule
  schema : schemas/trace-transformation-rule.schema.json
  example: examples/trace-transformation-rule.example.yaml
[ok] trace-transformation-rule.example.yaml is valid
[validate] Trace Diff Mutation Log
  schema : schemas/trace-diff-mutation-log.schema.json
  example: examples/trace-diff-mutation-log.example.yaml
[ok] trace-diff-mutation-log.example.yaml is valid
[validate] Trace Re-Ignition Record
  schema : schemas/trace-re-ignition-record.schema.json
  example: examples/trace-re-ignition-record.example.yaml
[ok] trace-re-ignition-record.example.yaml is valid
[validate] Trace Royalty Bridge
  schema : schemas/trace-royalty-bridge.schema.json
  example: examples/trace-royalty-bridge.example.yaml
[ok] trace-royalty-bridge.example.yaml is valid
[validate] Structural Audit Bridge
  schema : schemas/structural-audit-bridge.schema.json
  example: examples/structural-audit-bridge.example.yaml
[ok] structural-audit-bridge.example.yaml is valid
[validate] Human Gate Approval Receipt
  schema : schemas/human-gate-approval-receipt.schema.json
  example: examples/human-gate-approval-receipt.example.yaml
[ok] human-gate-approval-receipt.example.yaml is valid
[validate] Unified Trace Relay Lifecycle
  schema : schemas/unified-trace-relay-lifecycle.schema.json
  example: examples/unified-trace-relay-lifecycle.example.yaml
[ok] unified-trace-relay-lifecycle.example.yaml is valid

First Lifecycle Summary

Trace Relay Protocol v0.1–v1.0 establishes the first full lifecycle:

Record -> Handoff -> Route -> Transform -> Diff -> Re-Ignition -> Royalty Bridge -> Structural Audit -> Human Gate -> Unified Lifecycle

This means the protocol can now:

Record a trace
Hand it off to another context
Route it across specialized wings
Control how it may transform
Record what changed during transformation
Re-ignite it into a new question or route
Connect it to attribution and value-return preparation
Verify structural causality and evidence
Record human approval, rejection, or conditional authorization
Track the full lifecycle and next-cycle conditions

Status

This project is currently in candidate-stage development.

The first unified lifecycle is complete at v1.0. Future versions may expand into:

Derivative Output Record
Publication Receipt
Manual Royalty Review
External Handoff Record
Memory Breathing integration
Mythos Regulator profiles
Trace lineage visualization
Repository / document / GPT integration
Royalty / return automation layers

License

TBD.

Name		Name	Last commit message	Last commit date
Latest commit History 52 Commits
.github/workflows		.github/workflows
examples		examples
schemas		schemas
scripts		scripts
CHANGELOG.md		CHANGELOG.md
LICENSE		LICENSE
README.md		README.md

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