The Event Record Interoperability Module (ERINM)
governs how a traceable

OOF™ Origin Open Foundation™

Independent Methodological Authority

Architecture Ecosystem: Structured Reality Standards™
Architecture Family: TREGA™ — Tax-Relevant Event Governance Architecture™
Parent Standard: TREGS — Tax-Relevant Event Record Governance Standard
Module: ERINM — Event Record Interoperability Module
Operational Layer: Event Record Interoperability Governance Layer
Category: Governance & Enforcement
Subcategory: Tax-Relevant Event Governance
Type: Core Module
Governed Space: Event Record Interoperability
Primary Governed Object: Governed Event Record Interoperability State
Origin ID: TREGA-TREGS-ERINM-005
Version: 1.0
Status: Canonical · Open Standard
Effective Date: 3 September 2026
AI-Readable: Yes
Authority: OOF®
Protection: MIP® — Methodological Intellectual Property
Canonical Language: UCL — Universal Canonical Language


Operational Role

A Record may be correctly identified, structurally governed,
linked, and traceable but still fail when transferred to another
system.


A receiving system may: rename fields; change schemas; transform
data types; omit qualifications; collapse state distinctions;
lose Event references; reinterpret Value; alter timing semantics;
discard trace references; or inject jurisdiction-specific
assumptions.


ERINM governs against this semantic degradation.

It answers:

Can another system receive and use this Event Record while
preserving what the governed Event actually means?


Internal Module Flow

TREGS operates through:

ERIDM — Event Record Identification

↓

ERSTM — Event Record
Structure


↓

ERLKM — Event Record Linkage

↓

ERTM — Event Record
Traceability


↓

ERINM — Event Record Interoperability

↓

Governed
Tax-Relevant Event Record


ERINM receives:

Governed Event Record Traceability State

and produces:

Governed Tax-Relevant Event Record

as the final TREGS output.

Operational Transition

The canonical transition is:

Governed Event Record Traceability State

↓

Interoperability
Requirement Identification


↓

Semantic Mapping

↓

Structural
Transformation


↓

Governance Preservation Assessment

↓

Interoperability State

↓

Governed Tax-Relevant Event Record
Operational Space


ERINM governs: interoperability scope; source and target
environment identification; semantic preservation; structural
mapping; field mapping; state mapping; identifier preservation;
Event-reference preservation; Determination preservation;
qualification preservation; uncertainty preservation; linkage
preservation; traceability preservation; transformation
governance; loss detection; semantic conflict; compatibility;
interoperability qualification; cross-system exchange;
cross-organization exchange; cross-border reuse; machine
interoperability; API interoperability; schema evolution; version
compatibility; and final TREGS handoff.


Operational Scope

ERINM may govern interoperability among: ERP systems; accounting
systems; banking systems; payment networks; marketplaces;
commerce platforms; tax engines; reporting systems; data
warehouses; APIs; distributed platforms; blockchain systems;
smart-contract environments; AI agents; autonomous systems;
machine-to-machine infrastructure; industrial systems;
public-sector systems; and future digital economies.


The module remains technology-neutral and jurisdiction-neutral.

Interoperability Object

The interoperability object is the governed meaning of the Event
Record as it moves between environments.


ERINM does not require identical technology.

It requires preservation of materially relevant governance
semantics.


Interoperability Object ≠ Technical File Format.

Source Environment

The Source Environment is the technical or organizational
environment from which the governed Record is transferred or
exposed.


The source may use its own: schema; identifier; field names; data
types; storage architecture; API design.


These technical properties do not define the canonical Event
meaning.


Target Environment

The Target Environment is the system or organization receiving or
consuming the Record.


The target may use a materially different technical
representation.


ERINM determines whether canonical meaning can survive that
difference.


Semantic Preservation

Semantic Preservation exists where the receiving environment can
interpret materially relevant Record elements consistently with
their governed meaning.


This includes preservation of distinctions such as: Event vs
Record; Participant vs Taxpayer; Event Location vs Tax
Jurisdiction; Event Time vs Legal Tax Point; Value Association vs
Tax Base; Determination vs Taxability; qualification vs
unqualified conclusion.


Same Data Value ≠ Same Semantic Meaning by default.

Semantic Equivalence

Two Record representations may be semantically equivalent even
where their: schemas differ; field names differ; encoding
differs; system architecture differs.


Equivalence depends on preserved governance meaning.

Technical Difference ≠ Semantic Difference by default.

Semantic Drift

Semantic Drift occurs where the Record's meaning changes during
exchange or transformation.


Examples include: Event Location converted into Tax Jurisdiction;
Participant converted into Taxpayer; Event Timing converted into
legal tax point; Value Association converted into taxable amount;
Conditional Determination represented as final legal Taxability;
qualification removed; uncertainty discarded.


Semantic Drift shall prevent unqualified interoperability.

Structural Mapping

ERINM may map one Record structure into another technical schema.

Mapping shall preserve canonical structural meaning established
by ERSTM.


Schema Mapping ≠ Semantic Permission to Redefine Fields.

Field Mapping

Field Mapping governs correspondence between source and target
representations.


A mapped field should retain its governed concept even where its
name or format changes.


For example:

Source: EventLocation

↓

Target: OperationalLocation

may remain compatible.

But:

Source: EventLocation

↓

Target: TaxJurisdiction

would represent semantic transformation and require separate
downstream governance.


State Mapping

Governance states shall remain distinguishable across systems.

A target system should not collapse materially distinct states
such as: Determination State; Record State; uncertainty state;
lifecycle state.


State Mapping ≠ State Collapse.

Identifier Preservation

The canonical Record identity should remain preserved or reliably
mapped across systems.


Local identifiers may change.

The canonical association shall not be lost.

Local ID Change ≠ Record Identity Change.

Event Reference Preservation

The target representation shall preserve the association between
the Record and the underlying Determined Tax-Relevant Event.


A target Record detached from its Event reference may lose
canonical TREGS meaning.


Determination Preservation

The applicable TREDS Determination state shall remain
interpretable after exchange.


The target system shall not transform:

Tax-Relevant Event Determination

↓

Legal Taxability Conclusion

without downstream jurisdictional governance.

Qualification Preservation

Material qualifications shall survive interoperability.

Interoperability Transformation ≠ Permission to Remove
Qualification.


Uncertainty Preservation

Material uncertainty references shall remain preserved where
required for responsible downstream reliance.


A receiving system shall not create artificial certainty by
discarding uncertainty.


Linkage Preservation

Material ERLKM links shall remain identifiable or reconstructable
after transfer where necessary.


Interoperability does not require identical technical link
mechanisms.


It requires preservation of link semantics.

Traceability Preservation

The Record's materially relevant ERTM traceability shall survive
system exchange.


A receiving system need not physically copy every trace object if
it can preserve reliable governed references.


Trace Reference Preservation ≠ Full Historical Data Replication.

Transformation Governance

Transformation occurs where a Record changes: schema; format;
encoding; data type; API representation; storage model; semantic
model.


Each material transformation should preserve the canonical Record
meaning.


Loss Detection

ERINM shall detect where transformation causes material
information loss.


Loss may involve: identity; Event reference; Determination state;
qualification; uncertainty; links; traceability; state semantics.


Successful Transmission ≠ Lossless Governance Transfer.

Material Loss

A transformation is materially lossy where omitted or altered
information could change downstream interpretation of the Event
Record.


Material loss shall result in: qualification; remediation;
rejection; or restricted use.


Non-Material Loss

Technical detail may be omitted where it does not materially
affect governed meaning or downstream use.


Information Loss ≠ Governance Loss by default.

Interoperability Compatibility

Compatibility may be: Full; Conditional; Partial; Qualified;
Incompatible; Unresolved.


Compatibility should be assessed against governed meaning rather
than technical connectivity alone.


Full Interoperability

Full Interoperability exists where materially relevant canonical
meaning can be preserved without unresolved governance loss.


Conditional Interoperability

Conditional Interoperability exists where exchange is valid only
under explicit limitations.


For example: one qualification cannot be represented directly;
one uncertainty state requires external reference; one linkage
type requires custom mapping.


The condition shall remain visible.

Partial Interoperability

Partial Interoperability exists where only part of the governed
Record can be exchanged without semantic distortion.


A partial exchange shall not be represented as full canonical
equivalence. Incompatibility


A target system is incompatible where it cannot preserve
materially necessary governed meaning.


Technical connectivity does not override this conclusion.

Connected Systems ≠ Interoperable Systems.

Interoperability Conflict

Conflict exists where source and target systems assign materially
incompatible meanings to the same concept.


Example:

Source: Participant = actor materially
involved in Event

Target: Participant = legally liable
taxpayer

The concepts shall not be treated as equivalent.

Cross-System Interoperability

ERINM supports the movement of one governed Record across
multiple technical systems.


A canonical pattern is:

Marketplace

↓

ERP

↓

Accounting

↓

Tax Engine

while preserving one governed Record meaning.

Cross-Organization Interoperability

Different organizations may receive and use the same governed
Record while maintaining separate technical environments.


Interoperability should preserve the shared methodological
meaning without requiring identical internal systems.


Cross-Border Interoperability

A Governed Tax-Relevant Event Record may enter several
jurisdictional environments.


The source Record remains jurisdiction-neutral.

Downstream jurisdictions may add their own legal layers.

Cross-Border Interoperability ≠ Tax Harmonization.

Jurisdiction-Neutral Core

The canonical TREGS Record shall remain distinguishable from
jurisdiction-specific extensions.


The target tax environment may add: nexus; taxpayer
determination; tax point; Tax Base; Tax Rate; legal
classification; exemption; filing state.


These are downstream outputs.

They shall not alter the canonical TREGA™ Record semantics.

Multi-Jurisdiction Reuse

ERINM supports:

One Governed Tax-Relevant Event Record

↓

Multiple Jurisdictional Tax Engines

This allows the same governed Event Reality to be consumed
repeatedly without being rebuilt independently.


Jurisdictional Result Separation

Different tax engines may produce different conclusions.

ERINM preserves their association with the same Event Record
while keeping those conclusions distinct.


Different Tax Outcomes ≠ Different Governed Event Records by
default.


API Interoperability

APIs may transport governed Event Records.

ERINM requires API mappings to preserve material semantics.

A technically valid API response may still be
governance-incompatible.


API Success ≠ Interoperability Success.

Message-Based Interoperability

Event streams, queues, or messaging systems may exchange partial
representations.


ERINM shall ensure that message fragmentation does not destroy
canonical meaning.


Batch Interoperability

Bulk files may contain multiple Event Records.

Batch packaging shall not collapse Record identities or Event
boundaries.


One File ≠ One Event.

Graph Interoperability

Graph-based systems may represent Events and Records through
nodes and edges.


ERINM governs preservation of canonical meaning regardless of
graph representation.


Blockchain Interoperability

Blockchain systems may consume or emit Record representations.

On-chain immutability does not establish semantic compatibility
with off-chain Event governance.


On-Chain Compatibility ≠ Governance Interoperability by default.

AI-Agent Interoperability

AI agents may consume, transform, and generate governed Event
Records.


Agent inference shall not redefine canonical field meaning
without explicit governance.


AI Interpretation ≠ Canonical Semantic Authority.

Autonomous-System Interoperability

Autonomous platforms may exchange Event Records without human
intervention.


ERINM requires governed meaning to remain stable even in
machine-to-machine exchange.


Machine-to-Machine Interoperability

M2M environments may operate at massive scale.

Interoperability shall be based on canonical governance semantics
rather than the ability of machines to parse each other's
messages.


Machine Readability ≠ Governance Interoperability.

Schema Evolution

Systems may evolve schemas over time.

ERINM shall support continued interpretation of canonical
concepts across schema versions.


Version Compatibility

A newer Record representation may remain interoperable with an
older environment where canonical semantics can still be
preserved.


Compatibility shall not be assumed merely because version numbers
are close.


Version Compatibility ≠ Semantic Compatibility by default.

Backward Interoperability

Where older systems consume newer Records, transformation may
reduce available detail.


Material governance meaning shall still be preserved or the
exchange qualified.


Forward Interoperability

Future systems should be able to interpret prior canonical Record
semantics where materially required for continuity. Extensibility


Extensions may add sector-specific or jurisdiction-specific
information.


Extensions shall remain distinguishable from the canonical TREGA™
core.


Extension Compatibility ≠ Canonical Modification.

Interoperability Qualification

Where full semantic preservation is impossible but use remains
legitimate, the Record may carry an interoperability
qualification.


Possible qualifications include: Missing Non-Critical Field;
External Reference Required; Limited State Mapping; Partial
Traceability Transfer; Conditional Link Preservation;
Jurisdiction-Specific Extension Present.


Interoperability Failure

Interoperability fails where transformation or exchange would
materially distort the governed Event Record.


Failure should result in: rejection; remediation; alternate
mapping; manual review; or restricted use.


Interoperability Reassessment

Interoperability may require reassessment when: source schema
changes; target schema changes; canonical structure evolves; new
governance states appear; new system behavior changes semantic
interpretation; downstream requirements materially change.


Interoperability Continuity

Interoperability should remain maintainable across infrastructure
evolution.


System Upgrade ≠ Permission for Semantic Drift.

Record Portability

A governed Event Record should remain portable where its
canonical identity and meaning can be preserved.


Portability is one practical outcome of interoperability.

Portability ≠ Mere Export Capability.

Semantic Compression Boundary

A target system may summarize a Record.

The summary shall not be treated as canonical equivalent if
material governance meaning was omitted.


Interoperability and Record Identity

ERIDM establishes Record identity.

ERINM preserves or maps that identity across environments.

Identity Mapping ≠ Identity Re-establishment.

Interoperability and Structure

ERSTM establishes canonical Record Structure.

ERINM maps that meaning into target structures.

Schema Translation ≠ Record Restructuring Authority.

Interoperability and Linkage

ERLKM governs material links.

ERINM preserves their meaning across environments.

Link Translation ≠ Link Governance.

Interoperability and Traceability

ERTM establishes reconstructable lineage.

ERINM preserves sufficient access to that lineage after exchange.

Traceability Transfer ≠ Traceability Creation.

Interoperability and Validation

ERINM may assess interoperability compatibility.

It does not perform general validation governance.

VALIDOS™ remains authoritative.

Interoperability Assessment ≠ Validation Certification.

Interoperability and Integrity

ERINM protects semantic preservation during exchange.

Broader integrity governance belongs to INTEGROS®.

Semantic Preservation ≠ General Integrity Governance.

Interoperability and Tax Law

ERINM does not harmonize tax law or determine legal tax
consequences.


It ensures that tax systems receive the same governed Event
Reality before they apply their own rules.


Interoperability ≠ Tax Harmonization.

Governance States

ERINM may represent:

Interoperability Governance Not Initiated

Source Environment Identified

Target Environment Identified

Mapping Requirements Identified

Semantic Mapping Under Review

Structural Mapping Established

Identity Preservation Established

Event Reference Preservation Established

Determination Preservation Established

Qualification Preservation Established

Traceability Preservation Established

Material Loss Detected

Semantic Conflict Detected

Compatibility Partial

Compatibility Conditional

Compatibility Full

Interoperability Qualified

Interoperability Failed

Interoperability Reassessment Required

Governed Event Record Interoperability
State Established

Governed Tax-Relevant Event Record
Established Governance Requirements

ERINM implementations shall ensure that: a valid Governed Event
Record Traceability State exists; source and target environments
are identifiable; canonical Record identity remains preserved or
reliably mapped; underlying Event reference remains preserved;
canonical Record semantics remain distinguishable from technical
schema; Determination state remains correctly interpretable;
qualifications remain visible; material uncertainty remains
preserved; material links retain their governed meaning;
sufficient traceability remains accessible; schema transformation
does not silently redefine canonical concepts; technical data
transfer is not treated as semantic interoperability by default;
materially lossy transformations are detected; compatibility
states remain explicit; partial interoperability is not
represented as full equivalence; incompatible semantics are not
silently mapped; jurisdiction-specific extensions remain separate
from canonical Record meaning; different jurisdictional outcomes
do not create different Event Records by default; APIs, messages,
files, graphs, blockchains, and AI systems remain subject to the
same semantic preservation requirements; machine readability is
not treated as sufficient interoperability; schema and version
changes trigger reassessment where material; extensions do not
redefine the canonical TREGA™ core; interoperability remains
distinct from validation, integrity, tax harmonization, identity
establishment, linkage, and traceability; and the resulting
Record is suitable for TREGS completion and TRECLS handoff.


Governance Logic

IF no valid Governed Event Record Traceability State exists, THEN
ERINM shall not establish complete TREGS Interoperability.


IF source and target systems use different schemas but preserve
canonical meaning, THEN interoperability may remain valid.


IF a field mapping changes a canonical concept into a materially
different legal or operational concept, THEN the mapping shall
not be treated as semantically equivalent.


IF Record identity can be reliably mapped across systems, THEN
different local identifiers shall not prevent interoperability.


IF material qualification or uncertainty cannot be preserved,
THEN interoperability shall remain conditional, partial, or
failed depending on materiality.


IF a transformation removes materially necessary traceability,
THEN the resulting Record shall not qualify as fully
interoperable.


IF a jurisdiction-specific tax system adds legal conclusions,
THEN those conclusions shall remain downstream extensions rather
than canonical TREGA™ fields.


IF technical transmission succeeds but semantic preservation
fails, THEN interoperability shall be considered failed or
qualified.


IF only non-material information is lost, THEN interoperability
may remain valid with appropriate governance state.


IF the Record preserves canonical identity, Event reference,
Determination, materially relevant state, linkage, traceability,
and semantic meaning across the intended environment, THEN ERINM
shall establish the Governed Tax-Relevant Event Record.


Minimum Implementation Framework

A minimum ERINM implementation should support:

Interoperability Governance ID A stable identifier for the ERINM
governance process.


Canonical Record Identifier The ERIDM-established Record
identity.


Traceability State Reference The applicable ERTM output.

Source Environment ID The environment from which the Record
originates.


Target Environment ID The environment receiving or consuming the
Record.


Source Schema Reference The applicable source representation.

Target Schema Reference The applicable target representation.

Mapping Profile ID The governed mapping used between
environments.


Canonical Concept Reference The governed TREGA™ concept being
transferred.


Source Field / Component Reference Its source representation.

Target Field / Component Reference Its target representation.

Semantic Equivalence State Equivalent, Qualified, Partial,
Conflicted, or Incompatible.


Identifier Preservation State Whether canonical Record identity
remains preserved.


Event Reference Preservation State Whether underlying Event
association remains preserved.


Determination Preservation State Whether TREDS state remains
correctly represented.


Qualification Preservation State Whether material qualifications
remain available.


Uncertainty Preservation State Whether material uncertainty
remains represented.


Linkage Preservation State Whether materially relevant links
remain interpretable.


Traceability Preservation State Whether sufficient reconstruction
remains possible.


Transformation Type Schema, Format, Encoding, API, Storage,
Semantic, or other transformation.


Material Loss State None, Non-Material, Material, Critical, or
Unresolved.


Semantic Drift State Whether canonical meaning changed during
transformation.


Compatibility State Full, Conditional, Partial, Incompatible, or
Unresolved.


Interoperability Qualification Any restrictions on downstream
use.


Jurisdiction-Specific Extension State Whether downstream
legal-tax extensions are present.


Version Compatibility State The compatibility status between
source and target versions.


Reassessment State Whether interoperability reassessment is
required.


Governance State The current ERINM governance state.

TREGS Completion State Whether all required TREGS module outputs
are sufficiently governed.


Handoff State Whether the Governed Tax-Relevant Event Record is
ready for TRECLS.


Governance Outputs

ERINM may produce: Source Environment State; Target Environment
State; Mapping Profile; Semantic Equivalence State; Structural
Mapping State; Identifier Preservation State; Event Reference
Preservation State; Determination Preservation State;
Qualification Preservation State; Uncertainty Preservation State;
Linkage Preservation State; Traceability Preservation State;
Material Loss State; Semantic Drift State; Compatibility State;
Interoperability Qualification; Version Compatibility State;
Cross-System Interoperability State; Cross-Organization
Interoperability State; Cross-Border Interoperability State;
Multi-Jurisdiction Reuse State; TREGS Completion State; and the
principal output: Governed Tax-Relevant Event Record.


Critical Distinctions

Data Exchange ≠ Interoperability.

Interoperability Object ≠ Technical File Format.

Same Data Value ≠ Same Semantic Meaning by default.

Technical Difference ≠ Semantic Difference by default.

Schema Mapping ≠ Semantic Permission to Redefine Fields.

State Mapping ≠ State Collapse.

Local ID Change ≠ Record Identity Change.

Interoperability Transformation ≠ Permission to Remove
Qualification.


Trace Reference Preservation ≠ Full Historical Data Replication.

Successful Transmission ≠ Lossless Governance Transfer.

Information Loss ≠ Governance Loss by default.

Connected Systems ≠ Interoperable Systems.

Cross-Border Interoperability ≠ Tax Harmonization.

Different Tax Outcomes ≠ Different Governed Event Records by
default.


API Success ≠ Interoperability Success.

One File ≠ One Event.

On-Chain Compatibility ≠ Governance Interoperability by default.

AI Interpretation ≠ Canonical Semantic Authority.

Machine Readability ≠ Governance Interoperability.

Version Compatibility ≠ Semantic Compatibility by default.

Extension Compatibility ≠ Canonical Modification.

System Upgrade ≠ Permission for Semantic Drift.

Portability ≠ Mere Export Capability.

Identity Mapping ≠ Identity Re-establishment.

Schema Translation ≠ Record Restructuring Authority.

Link Translation ≠ Link Governance.

Traceability Transfer ≠ Traceability Creation.

Interoperability Assessment ≠ Validation Certification.

Semantic Preservation ≠ General Integrity Governance.

Interoperability ≠ Tax Harmonization.

Enterprise Application

ERINM provides the final TREGS capability required to turn a
governed Event Record into reusable tax-infrastructure input.


The canonical enterprise path is:

ERIDM — Governed Event Record Identity

→ ERSTM — Governed Event Record Structure

→ ERLKM — Governed Event Record Linkage State

→ ERTM — Governed Event Record Traceability State

→ ERINM — Governed Event Record Interoperability State

→ Governed Tax-Relevant Event Record

The resulting Record can then support:

ERP / Commerce / Banking / Digital
Platform / AI Agent / Machine System

→ TREGA™ Governed Event Record Layer

→ Jurisdiction A Tax Engine

→ Jurisdiction B Tax Engine

→ Jurisdiction C Tax Engine

without requiring each downstream system to reconstruct the Event
independently. Use Case 1 — One Global Commerce Event Across
Three Jurisdictional Tax Engines


A global digital platform produces one Governed Tax-Relevant
Event Record.


The Record must be consumed by three national tax engines using
different schemas.


Jurisdiction A expects one JSON model.

Jurisdiction B uses a legacy structured format.

Jurisdiction C uses an API-based tax service.

ERINM maps the same canonical Record into all three environments
while preserving: Record identity; underlying Event reference;
Determination state; Event Timing; Event Location; Participation;
Value Association; material qualifications; and traceability.


Each jurisdiction subsequently reaches its own legal tax result.

The Record itself remains unchanged in canonical meaning.

One Governed Event Record

↓

Three Technical Representations

↓

Three Independent Jurisdictional Evaluations. Use Case 2 —
AI-Agent Marketplace Migrating Between ERP Platforms


An autonomous marketplace uses AI agents to negotiate and execute
services.


Its governed Event Records are originally stored in ERP System A.

The organization migrates to ERP System B, which uses different:
data models; field names; identifier formats; state architecture.


ERINM establishes governed mappings between the systems.

The migration preserves: canonical Record identity; Event
associations; Determination states; qualifications; Record links;
and historical traceability.


Local technical identifiers change.

The governed Record does not.

System Migration changes the representation — not the governed
Event meaning.


Canonical Boundary

ERINM owns the governance of Event Record semantic
interoperability, source-target mapping, structural and field
mapping, state mapping, canonical identity preservation,
Event-reference preservation,
Determination/qualification/uncertainty preservation, link and
traceability preservation, transformation governance,
material-loss detection, semantic-drift governance,
compatibility, interoperability qualification, cross-system
exchange, cross-organization exchange, cross-border reuse,
version compatibility, and establishment of the final Governed
Tax-Relevant Event Record.


ERINM does not establish Record identity; ERIDM owns
identification.


It does not define the canonical Record Structure; ERSTM owns
structure.


It does not establish material Record links; ERLKM owns linkage.

It does not create Record lineage; ERTM owns traceability.

It does not validate the Event or Record generally; VALIDOS™ owns
validation.


It does not own general integrity governance; INTEGROS® remains
authoritative.


It does not harmonize jurisdiction-specific taxation and does not
determine Tax Jurisdiction, taxpayer status, Tax Base, Tax Rate,
legal tax point, Tax Period, exemption, deduction, Tax Liability,
filing obligation, collection, or enforcement.


Its governance begins when a valid Governed Event Record
Traceability State exists.


Its governance ends when the Event Record can preserve its
canonical governed meaning across the intended system and
organizational environments and the final Governed Tax-Relevant
Event Record is established.


Canonical Handoff

ERTM — Governed Event Record Traceability State

↓

ERINM —
Governed Tax-Relevant Event Record


↓

TRECLS — Tax-Relevant Event
Lifecycle & Continuity Governance