OOF™ Origin Open Foundation™

Independent Methodological Authority

Architecture Ecosystem: Structured Reality Standards™
Architecture Family: TREGA™ — Tax-Relevant Event Governance Architecture™
Parent Standard: TRERLS — Tax-Relevant Event Relationship Standard
Operational Layer: Tax-Relevant Event Relationship Governance Layer
Category: Governance & Enforcement
Subcategory: Tax-Relevant Event Governance
Type: Parent Standard
Governed Space: Tax-Relevant Event Relationships
Origin ID: TREGA-TRERLS-009
Version: 1.0
Status: Canonical · Open Standard
Effective Date: 1 September 2026
AI-Readable: Yes
Authority: OOF®
Protection: MIP® — Methodological Intellectual Property
Canonical Language: UCL — Universal Canonical Language

Canonical Definition

The Tax-Relevant Event Relationship Standard (TRERLS) governs how
two or more Governed Tax-Relevant Events are related,
distinguished, sequenced, dependent, grouped, linked, merged,
split, or otherwise structurally associated before final
Tax-Relevant Event Determination occurs.

TRERLS establishes the governance conditions under which
relationships among events can be represented without collapsing
distinct events into one, fragmenting one event into artificial
sub-events, or converting technical process structure directly
into economic or tax-event structure.

Its principal governed transition is:

Governed Value-Associated Events

↓

Governed Event Relationship Structure

TRERLS does not create Event Context, recognize occurrences, form
events, establish Event Boundaries, determine Event Timing,
determine Event Location, establish Event Participation, or
govern Value Association.

It consumes those governed results and determines how
already-governed events relate to one another.

The foundational principle is:

Event Relationship ≠ Event Identity.

Purpose

Modern economic and digital activity rarely occurs as isolated
transactions.

One business activity may produce: an order; reservation;
authorization; payment; shipment; delivery; settlement; refund;
reversal; return; service execution; resource allocation; machine
instruction; smart-contract interaction; or several related
technical operations.

Some of these may belong to one governed event.

Others may constitute separate but related governed events.

Still others may represent later events that depend upon, modify,
reverse, continue, supersede, or economically relate to an
earlier event.

TRERLS exists to prevent two opposite governance failures:

Fragmentation — treating every technical operation as an
independent Tax-Relevant Event.

Collapse — treating several materially distinct events as one
event merely because they belong to one commercial activity.

TRERLS provides the governance layer required to preserve the
actual relationship structure between events.

Core Question

How should multiple governed Tax-Relevant Events be related,
distinguished, sequenced, grouped, dependent, merged, or split
without allowing technical workflow structure, operational
proximity, or later tax interpretation to redefine the events
themselves?

Governance Objective

TRERLS ensures that Tax-Relevant Event governance can represent
economic and operational structures where: one activity produces
multiple events; one event contains multiple technical
operations; later events depend on earlier events; several events
occur in sequence; events form a meaningful group; one event
replaces or reverses another; previously treated events require
governed merge; one previously treated event requires governed
split; several jurisdictions evaluate related events differently;
and autonomous or distributed systems produce complex event
networks.

Its objective is not simplification at any cost.

Its objective is correct relationship representation.

Complete TREGA™ Governance Flow

1. TRECS — Tax-Relevant Event Context Standard

→ 2. TRERS — Tax-Relevant Event Recognition Standard

→ 3. TREFS — Tax-Relevant Event Formation Standard

→ 4. TREBS — Tax-Relevant Event Boundary Standard

→ 5. TRETS — Tax-Relevant Event Timing Standard

→ 6. TRELS — Tax-Relevant Event Location Standard

→ 7. TREPS — Tax-Relevant Event Participation Standard

→ 8. TRVAS — Tax-Relevant Value Association Standard

→ 9. TRERLS — Tax-Relevant Event Relationship Standard ← CURRENT

→ 10. TREDS — Tax-Relevant Event Determination Standard

→ 11. TREGS — Tax-Relevant Event Record Governance Standard

→ 12. TRECLS — Tax-Relevant Event Lifecycle & Continuity Standard

The immediate governance position is:

Value Association

↓

Event Relationships

↓

Event Determination

TRVAS establishes which governed value results belong to the
event.

TRERLS determines how that governed event relates to other
governed events.

TREDS subsequently determines whether the resulting governed
event structure is sufficiently complete and coherent to become a
formally determined Tax-Relevant Event.

Governed Input

TRERLS consumes already-governed events that may contain: Event
Context; Event Recognition; Event Formation; Event Boundary;
Event Timing; Event Location; Event Participation; and Value
Association.

Its canonical input is:

One or More Governed Value-Associated
Events Governed Output

TRERLS produces:

Governed Event Relationship Structure

This structure preserves the relationship between events without
deciding their jurisdiction-specific tax consequences.

The output proceeds to TREDS.

Event Relationship

An Event Relationship is a governed association between two or
more events that preserves how those events interact without
necessarily changing the identity, validity, or independence of
each event.

Relationships may include: dependency; sequence; grouping;
continuation; reversal; replacement; parent–child relationship;
component relationship; parallel relationship; conditional
relationship; merge; split; or another sufficiently governed
structural relationship.

Related Events ≠ Same Event by default.

Relationship Identification

TRERLS shall determine whether a meaningful relationship exists
among governed events.

Possible indicators may include: shared participants; shared
Value References; temporal sequence; operational dependency;
contractual connection; shared Event Context; shared process;
common technical execution; common settlement; common source
transaction; machine-generated linkage; or another materially
relevant association.

No single indicator automatically proves a specific relationship.

Shared Attribute ≠ Event Relationship Determination by default.

Event Independence

Two events may be related while remaining independently governed.

For example, a sale and later refund may have a strong
relationship but remain distinct events.

TRERLS shall preserve event independence where formation and
boundary governance support it.

Strong Relationship ≠ Event Identity.

Event Dependency

One event may depend on another event.

Examples include: fulfillment depending on an order; settlement
depending on a payment instruction; refund depending on an
earlier purchase; resource consumption depending on prior
allocation; autonomous execution depending on a machine
instruction.

TRERLS may establish dependency without declaring the dependent
event part of the same event.

Event Dependency ≠ Event Merger.

Unidirectional Dependency

A relationship may operate in one direction.

For example:

Event B depends on Event A

does not necessarily mean:

Event A depends on Event B.

TRERLS shall preserve directional relationships where relevant.

A

↓

B ≠ B

↓

A.

Mutual Dependency

Some events may be mutually dependent.

Where neither event can be coherently represented without the
other, TRERLS may establish mutual dependency.

However:

Mutual Dependency ≠ Single Event by default.

The Event Boundary remains decisive.

Event Sequence

Events may occur in governed sequence.

Examples include:

Order

↓

Payment

↓

Delivery

or:

Reservation

↓

Execution

↓

Settlement

Sequence explains temporal or operational ordering.

It does not establish that the events are one event.

Sequence ≠ Event Identity.

Temporal Sequence

One event occurring before another may be relevant.

However:

Earlier Event ≠ Causal Event by default.

and:

Temporal Proximity ≠ Event Relationship by default.

TRETS governs Event Timing.

TRERLS consumes timing information only to represent
relationships.

Operational Sequence

Events may be connected by process order even where their exact
timestamps overlap or differ across systems.

TRERLS may preserve operational sequence independently from legal
interpretation.

Operational Sequence ≠ Tax Sequence.

Conditional Relationship

An event may occur only if another event satisfies a particular
condition.

For example: release follows approval; refund follows return;
payment follows service completion; autonomous execution follows
authorization.

TRERLS may represent the conditional relationship without
governing the authority or permission itself.

Conditional Event Relationship ≠ Authority Governance.
Parent–Child Event Relationship

One event may generate or contain relationships to subordinate
events while the events remain independently identifiable.

TRERLS may establish Parent–Child Event Relationships where
governance supports such structure.

However:

Parent Event ≠ Owner of Child Event.

and:

Child Event ≠ Event Component by default.

The relationship describes structure, not ownership.

Component Event Relationship

A wider activity may contain several independently governed
events that function as components of a larger economic or
operational structure.

TRERLS may preserve these relationships while preventing their
automatic collapse.

Event Component Relationship ≠ Event Merge by default.

Parallel Events

Two or more events may occur simultaneously or independently
within the same broader process.

For example, a marketplace may trigger payment processing and
logistics activity in parallel.

TRERLS shall support parallel relationship structures.

Parallel Events ≠ Same Event.

Shared Participant Relationship

Two events may share one or more participants.

This may support relationship identification.

It does not establish event identity.

Same Participant ≠ Same Event.

TREPS remains authoritative for Event Participation.

Shared Value Relationship

Two events may refer to the same governed value or Value Change.

This may establish an important relationship.

However:

Shared Value Reference ≠ Same Event.

A single payment may settle several events.

A single asset may participate in several events.

A refund may refer to value associated with an earlier event.

TRVAS remains authoritative for Value Association.

Shared Location

Events may occur at the same physical, digital, or distributed
location.

This does not establish relationship by itself.

Same Location ≠ Related Event by default.

TRELS remains authoritative for Event Location.

Shared Timing

Events may happen at the same time.

This does not establish that they belong together.

Same Time ≠ Same Event.

Shared Context

Events may occur within the same Event Context.

TRERLS may consume that relationship information.

However:

Shared Context ≠ Same Event.

TRECS remains authoritative for Event Context.

Economic Activity and Event Structure

One economic activity may contain one event or many governed
events.

Therefore:

One Economic Activity ≠ One Event by default.

Likewise:

Multiple Technical Operations ≠ Multiple Economically Independent
Events by default.

TRERLS preserves the distinction between technical operation
count and governed event structure.

Technical Operations

Modern systems frequently generate multiple technical records for
one event.

For example: API calls; database updates; ledger entries; token
movements; smart-contract executions; machine commands;
authorization requests; settlement messages.

TRERLS shall not convert each technical operation into a separate
Tax-Relevant Event merely because a record exists.

Technical Operation ≠ Tax-Relevant Event by default.

Distributed Event Structure

One operational or economic event may span distributed systems.

For example:

AI Agent

↓

Marketplace

↓

Payment Network

↓

Blockchain

↓

Logistics System

The systems may create many technical records.

TRERLS may preserve one event where Event Formation and Boundary
governance support that conclusion, while separately representing
genuinely distinct related events.

Event Grouping

TRERLS may group several events where they share a meaningful
structural relationship.

Grouping can support: navigation; reconstruction; analysis;
reporting; economic activity representation; or later
jurisdictional evaluation.

However:

Event Group ≠ Single Event.

Grouping shall not erase the independent identities of the
grouped events.

Group Membership

An event may belong to one or more legitimate groups.

For example, an event may belong simultaneously to: a commercial
transaction group; a settlement group; a supply-chain group; a
contractual group; or a machine-operation group.

Multiple Group Memberships ≠ Multiple Event Identities.

Group Identifier

TRERLS may establish a governed group reference.

The group identifier supports relationship governance.

It does not replace the individual Event Identifiers.

Group Identifier ≠ Event Identifier.

Event Chain

A sequence of related events may form an Event Chain.

For example:

Order Event

↓

Fulfillment Event

↓

Payment Event

↓

Refund Event

An Event Chain preserves relationship structure across the
lifecycle of economic activity.

Event Chain ≠ Single Event Lifecycle by default.

TRECLS governs lifecycle and continuity of individual governed
events.

Event Network

Complex systems may produce event structures that cannot be
represented as a simple linear chain.

One event may lead to multiple subsequent events.

Multiple earlier events may converge into one later event.

TRERLS shall support Event Networks.

The relationship model may therefore include:

One-to-One

One-to-Many

Many-to-One

Many-to-Many

relationships.

One-to-Many Relationship

One governed event may trigger several related events.

Example:

one purchase event may later generate: shipment; payment
settlement; loyalty allocation; platform commission; and
reporting-related operational events.

One Source Event ≠ One Resulting Event by default.

Many-to-One Relationship

Several events may converge into one later event.

For example, several invoices may be settled by one payment
event.

TRERLS shall support convergence without treating the earlier
events as one event.

One Settlement ≠ One Prior Event by default.

Many-to-Many Relationship

Distributed business systems may create multiple interconnected
events on both sides of a relationship.

TRERLS shall support such structures without requiring artificial
simplification.

Event Merge Governance

Two or more previously distinguished governed events may later be
shown to constitute one event under the applicable
event-governance criteria.

TRERLS may govern the structural merge relationship where
sufficient basis exists.

However:

Relationship Convenience ≠ Permission to Merge Events.

A merge must not be used merely because downstream taxation,
reporting, or system design becomes easier.

Merge Conditions

A governed merge may become appropriate where evidence shows that
events previously treated separately do not possess sufficient
independent Event Formation or Boundary.

TRERLS does not independently recreate those earlier governance
decisions.

Where necessary, the relevant issue shall be referred to TREFS or
TREBS.

Event Merge ≠ Silent Event Deletion.

The prior governance history must remain traceable.

Merged Event History

Where a governed merge occurs, historical event identities and
the reason for merge should remain reconstructable.

Merged ≠ Never Previously Separate.

Event Split Governance

A previously governed event may later be shown to contain
multiple materially distinct events.

TRERLS may govern the structural split relationship.

However:

Additional Technical Detail ≠ Permission to Split Event by
default.

A split requires sufficiently supported Event Formation or
Boundary differentiation.

Split Conditions

A split may become appropriate where later information
establishes: independent Event Roots; materially separate Event
Boundaries; separate participants or value structures;
independent operational purposes; or another material governance
basis.

TRERLS shall refer formation or boundary redetermination to the
appropriate upstream Parent Standard where required.

Split Event History

Where a governed split occurs, the original representation must
remain reconstructable.

Event Split ≠ Historical Erasure.

The relationship between the original representation and
successor events shall be preserved.

Merge and Split Neutrality

Merge and split governance shall not be driven by a desired tax
outcome.

Therefore:

Tax Advantage ≠ Event Merge Criterion.

Tax Exposure ≠ Event Split Criterion.

Event structure must remain grounded in governed operational
reality.

Reversal Relationship

A later event may reverse some or all effects of an earlier
event.

Examples include: payment reversal; asset return; service
cancellation; transaction reversal; resource release.

TRERLS may establish a reversal relationship.

Reversal Event ≠ Original Event Erasure.

The original event remains part of governed history.

Refund Relationship

A refund event may relate to an earlier purchase or service
event.

TRERLS governs the event relationship.

It does not determine whether the refund is legally deductible or
modifies Tax Liability.

Refund Relationship ≠ Tax Adjustment Determination.

Replacement Relationship

One event may replace another operationally.

For example, a failed fulfillment event may be replaced by
another fulfillment event.

TRERLS may preserve the relationship without erasing the replaced
event.

Replacement Event ≠ Original Event Nonexistence.

Supersession Relationship

A later event may supersede an earlier operational event.

Supersession indicates that later activity replaces the earlier
event for some future operational purpose.

It does not erase the historical event.

Event Supersession ≠ Historical Erasure.

Continuation Relationship

A later event may continue activity initiated by an earlier event
while remaining independently governed.

TRERLS may establish continuation where appropriate.

Event Continuation Relationship ≠ Same Event Continuity by
default.

TRECLS remains authoritative for the lifecycle continuity of one
event.

Correction Relationship

A later event may exist specifically to correct consequences or
records associated with an earlier event.

TRERLS may represent that relationship.

Correction Event ≠ Corrected Event
Erasure. Causation

Event relationship governance may preserve indications of causal
structure where available.

However, TRERLS does not automatically convert dependency,
sequence, or proximity into causal proof.

Event Sequence ≠ Causation.

Event Dependency ≠ Universal Causation.

Where causal determination belongs to another architecture or
case-specific process, TRERLS shall preserve the boundary.

Relationship Direction

Relationships may be: directional; reciprocal; symmetric;
asymmetric; conditional; hierarchical; sequential; or networked.

TRERLS shall preserve the applicable relationship direction where
material.

Relationship Cardinality

TRERLS shall permit relationship cardinalities including:
one-to-one; one-to-many; many-to-one; many-to-many.

Cardinality represents event structure.

It does not determine tax aggregation.

Relationship Cardinality ≠ Tax Aggregation Rule.

Relationship Strength

Relationships may possess different degrees of support.

TRERLS may qualify relationships as: established; qualified;
partial; probable; ambiguous; conflicted; unresolved.

A weak relationship should not be presented as equivalent to a
strongly governed relationship.

Relationship Uncertainty

Available information may show that events are related without
establishing the exact relationship type.

TRERLS shall preserve this uncertainty.

Known Relationship ≠ Known Relationship Type by default.

Relationship Conflict

Different sources may describe event relationships differently.

For example, one system may treat a payment as settlement of
Event A, while another links it to Events A and B.

TRERLS shall preserve materially relevant conflict.

Relationship Conflict ≠ Permission for Convenient Event Mapping.

Relationship Reconsideration

New evidence may justify reconsideration of a relationship.

TRERLS shall support governed reconsideration while preserving
previous relationship history.

Relationship Reconsideration ≠ Historical Erasure.

Relationship Stability

A relationship should remain stable unless materially relevant
information changes.

Changes in technical identifiers, storage systems, or reporting
formats shall not automatically create new Event Relationships.

System Change ≠ Relationship Change by default.

Cross-System Event Relationships

Related events may exist across multiple systems.

TRERLS shall support relationships between events generated in:
ERP; payment systems; banking systems; blockchains; marketplaces;
logistics; AI-agent platforms; autonomous machines; industrial
systems; or other infrastructures.

System boundaries do not automatically equal Event Boundaries.

System Boundary ≠ Event Boundary.

Cross-Organization Relationships

Events may span several organizations.

For example:

Buyer Event ↔ Marketplace Event ↔ Seller Event ↔ Payment Event ↔
Logistics Event

TRERLS may preserve relationships among those events without
requiring all organizations to represent them identically.

Cross-Border Event Relationships

Several related events may occur across multiple countries.

TRERLS preserves the jurisdiction-neutral relationship structure.

It does not decide: tax jurisdiction; source jurisdiction;
residence jurisdiction; permanent establishment; place of supply;
customs jurisdiction; or taxing rights.

Cross-Border Event Relationship ≠ Tax Jurisdiction Determination.

Multi-Jurisdiction Evaluation

The same governed relationship structure may be evaluated
differently by multiple jurisdictions.

The model is:

One Governed Event Relationship Structure

↓

Multiple Jurisdictional Evaluations

Jurisdiction A may legally aggregate related events.

Jurisdiction B may treat them separately.

Jurisdiction C may apply anti-avoidance or other
jurisdiction-specific doctrines.

TREGA™ preserves the underlying governed event structure.

Jurisdictions remain free to determine their legal tax treatment.

Artificial Fragmentation Protection

TRERLS shall protect against artificial fragmentation of one
governed event into several events where no legitimate Event
Formation or Boundary basis supports separation.

More Records ≠ More Events.

More Systems ≠ More Events.

More Participants ≠ More Events.

More Payments ≠ More Events.

Artificial Aggregation Protection

TRERLS shall equally protect against artificial aggregation.

Several distinct events must not be collapsed merely because
they: involve the same participants; occur under one contract;
use one invoice; settle through one payment; occur on the same
day; or belong to one commercial program.

One Contract ≠ One Event by default.

One Invoice ≠ One Event by default.

One Payment ≠ One Event by default.

Machine and Autonomous Event Relationships

Autonomous economic systems may generate event networks without
conventional human transaction boundaries.

One AI agent may initiate an event.

Another machine may execute a service.

A smart contract may trigger settlement.

A robot may deliver physical output.

A later machine process may correct or reverse the operation.

TRERLS shall support these event relationships without assuming
that one machine workflow equals one event.

One Autonomous Workflow ≠ One Tax-Relevant Event by default.

Likewise:

Multiple Agent Actions ≠ Multiple Tax-Relevant Events by default.

Blockchain Event Relationships

One economic activity may produce several blockchain
transactions.

One blockchain transaction may contain several operational
actions.

An on-chain operation may also depend on off-chain events.

Therefore:

One Blockchain Transaction ≠ One Tax-Relevant Event by default.

and:

Multiple Blockchain Transactions ≠ Multiple Tax-Relevant Events
by default.

TRERLS preserves the relationship between technical ledger events
and governed Tax-Relevant Events.

Event Relationship and Event Formation

TREFS determines whether a valid event has been formed.

TRERLS does not independently create event identity.

Relationship Discovery ≠ New Event Formation.

Where relationship analysis suggests that an additional event may
exist, the issue shall be referred to TREFS.

Event Relationship and Event Boundary

TREBS governs where one event ends and another begins.

TRERLS consumes those boundaries.

It does not independently override them.

Event Relationship ≠ Event Boundary Redetermination.

Potential boundary problems shall be referred to TREBS.

Event Relationship and Event Timing

TRETS governs Event Timing.

TRERLS may use temporal order as relationship information.

It does not redefine Event Timing.

Relationship Sequence ≠ Event Timing Determination.

Event Relationship and Event Location

TRELS governs Event Location.

Shared or differing locations may inform event relationships.

TRERLS does not determine location itself.

Event Relationship and Participation

TREPS governs Event Participation.

Shared participants may contribute to relationship analysis.

TRERLS shall not convert shared participation into Event
Identity.

Event Relationship and Value Association

TRVAS governs which governed value results belong to each event.

TRERLS may use shared or related Value Associations to establish
event relationships.

However:

Shared Value ≠ Shared Event Identity.

Event Relationship and Accountability

TRERLS does not determine who is accountable for relationships
among events.

AGA™ remains authoritative for accountability governance.

Event Relationship ≠ Accountability Relationship.

Event Relationship and Liability

A relationship between events may be relevant to downstream
liability analysis.

TRERLS does not determine liability.

HALIA™ remains authoritative for the lifecycle of harm and
liability.

Related Events ≠ Shared Liability by default.

Event Relationship and Taxation

TRERLS does not determine: whether related events should be
legally aggregated; whether several events constitute one taxable
supply; whether transactions are linked for anti-avoidance
purposes; whether an event series creates Tax Liability; whether
consideration should be combined; whether a series forms one tax
period; or another jurisdiction-specific tax conclusion.

Therefore:

Governed Event Relationship ≠ Tax Aggregation Determination.

Tax law may later consume TRERLS output and reach
jurisdiction-specific conclusions.

Governance States

TRERLS may establish architecture-level states including:

Relationship Ready

Relationship Under Governance

Independent Events

Related Events

Dependent Events

Sequential Events

Parallel Events

Grouped Events

Parent–Child Events

Composite Event Structure

Event Chain

Event Network

Merge Candidate

Merge Governed

Split Candidate

Split Governed

Reversal Relationship

Replacement Relationship

Continuation Relationship

Relationship Qualified

Relationship Ambiguous

Relationship Conflicted

Relationship Unresolved

Governed Event Relationship Structure
Established

These states govern relationship structure.

They do not determine Tax-Relevant Event Determination under
TREDS.

Governance Principles

TRERLS shall operate according to the following principles:

Event identity must remain distinct from Event Relationship.

Technical operation count must not determine Event count.

Economic activity count must not automatically determine Event
count.

Related events may remain independent.

Independent events may remain strongly related.

Sequence does not prove identity or causation.

Shared participants do not prove Event Identity.

Shared value does not prove Event Identity.

Grouping does not merge events.

Merge and split must remain evidence-based.

Tax outcome must not determine event structure.

Historical relationship states must remain reconstructable.

Jurisdiction-specific interpretation must remain downstream.

Governance Requirements

A conforming TRERLS implementation shall ensure that:
relationships are established only among sufficiently governed
events; event identity remains distinct from relationship
identity; dependency can be represented; relationship direction
can be preserved; sequence can be represented without implying
event identity; parallel events can remain distinct; parent–child
and component relationships can be represented; shared
participants do not automatically merge events; shared Value
References do not automatically merge events; common timing does
not automatically merge events; common location does not
automatically merge events; shared Event Context does not
automatically merge events; technical operations are not
automatically treated as independent events; one economic
activity is not automatically treated as one event; event
grouping preserves individual Event Identity; Event Chains and
Event Networks can be represented; one-to-one, one-to-many,
many-to-one, and many-to-many relationships are supported; merge
and split governance remains traceable; reversal does not erase
the original event; replacement does not erase the replaced
event; corrections do not erase event history; uncertainty
remains visible; conflict remains visible; relationship
reconsideration remains traceable; system migration does not
automatically change relationships; cross-system and
cross-organization relationships can be represented; autonomous
and blockchain event structures can be governed; TREFS ownership
of Event Formation remains preserved; TREBS ownership of Event
Boundary remains preserved; TRETS ownership of Event Timing
remains preserved; TRELS ownership of Event Location remains
preserved; TREPS ownership of Event Participation remains
preserved; TRVAS ownership of Value Association remains
preserved; and tax aggregation or other jurisdiction-specific
legal interpretation remains downstream.

Governance Logic

IF two or more Governed Value-Associated Events possess a
materially relevant structural connection, THEN TRERLS shall
evaluate the Event Relationship.

IF events are related but independently formed and bounded, THEN
their individual Event Identities shall remain preserved.

IF Event B depends on Event A, THEN dependency may be established
without merging the events.

IF events occur in sequence, THEN sequence may be governed
without assuming causation or Event Identity.

IF several events share one economic activity, THEN neither
automatic grouping nor automatic merger shall occur without
sufficient governance basis.

IF multiple technical operations belong to one already-governed
event, THEN technical record multiplicity shall not create
additional events.

IF multiple governed events require grouping, THEN group
membership shall preserve individual Event Identity.

IF available evidence suggests that previously separate events
should be merged, THEN relevant Formation and Boundary governance
shall be respected and the historical relationship shall remain
traceable.

IF available evidence suggests that one event should be split,
THEN relevant Formation and Boundary governance shall be
respected and the original representation shall remain
reconstructable.

IF relationship uncertainty or conflict remains material, THEN it
shall remain explicitly represented.

IF the Event Relationship Structure is sufficiently governed,
THEN the result shall proceed to TREDS for Tax-Relevant Event
Determination.

Governance Outputs

TRERLS may produce: Governed Event Relationship; Event Dependency
Relationship; Directed Event Relationship; Mutual Event
Dependency; Event Sequence; Parallel Event Relationship;
Conditional Event Relationship; Parent–Child Event Relationship;
Component Event Relationship; Shared Value Event Relationship;
Event Group; Event Chain; Event Network; One-to-Many Event
Structure; Many-to-One Event Structure; Many-to-Many Event
Structure; Event Merge Relationship; Event Split Relationship;
Event Reversal Relationship; Event Refund Relationship; Event
Replacement Relationship; Event Supersession Relationship; Event
Continuation Relationship; Event Correction Relationship;
Relationship Confidence State; Relationship Ambiguity State;
Relationship Conflict State; Relationship Traceability Record;
and the principal output: Governed Event Relationship Structure.

Internal Module Architecture

TRERLS is operationalized through five Core Modules:

1. ERLIM — Event Relationship Identification Module Identifies
materially relevant relationships among already-governed events.

2. ERLDM — Event Relationship Dependency Module Governs
dependency, direction, conditionality, and structural dependence
among events.

3. ERLSM — Event Relationship Sequence Module Governs temporal
and operational sequence among related events without converting
sequence into identity or causation.

4. ERLGM — Event Relationship Grouping Module Governs Event
Groups, chains, networks, parent–child structures, and other
multi-event group structures while preserving individual Event
Identity.

5. ERLMM — Event Relationship Merge & Split Module Governs
justified merge and split relationships where event structure
must be revised while preserving traceability and upstream
governance boundaries.

The Internal Module Flow is:

ERLIM — Relationship Identification

↓

ERLDM — Relationship
Dependency

↓

ERLSM — Relationship Sequence

↓

ERLGM — Relationship
Grouping

↓

ERLMM — Merge & Split Governance

↓

Governed Event
Relationship Structure Cross-Architecture Boundaries

ORA™ — Operational Reality Architecture governs what actually
happened operationally.

TREFS governs Event Formation.

TREBS governs Event Boundary.

TRETS governs Event Timing.

TRELS governs Event Location.

TREPS governs Event Participation.

TRVAS governs Event–Value Association.

TRERLS governs relationships among already-governed events.

OBIDENITY® governs origin-bound identity, ownership, authority,
permission, and provenance.

VFM® — Value Flow Mechanism governs the lifecycle of value.

AGA™ governs accountability.

HALIA™ governs the lifecycle of harm and liability.

ADIT® governs auditability and relevant evidence structures.

VALIDOS™ governs validation.

Jurisdiction-specific taxation systems remain authoritative for
the legal tax consequences of related events.

Critical Distinctions

Event Relationship ≠ Event Identity.

Related Events ≠ Same Event by default.

Shared Attribute ≠ Event Relationship Determination by default.

Strong Relationship ≠ Event Identity.

Event Dependency ≠ Event Merger.

Mutual Dependency ≠ Single Event by default.

Sequence ≠ Event Identity.

Temporal Proximity ≠ Event Relationship by default.

Operational Sequence ≠ Tax Sequence.

Conditional Event Relationship ≠ Authority Governance.

Event Component Relationship ≠ Event Merge by default.

Parallel Events ≠ Same Event.

Same Participant ≠ Same Event.

Shared Value Reference ≠ Same Event.

Same Location ≠ Related Event by default.

Same Time ≠ Same Event.

Shared Context ≠ Same Event.

One Economic Activity ≠ One Event by default.

Multiple Technical Operations ≠ Multiple Economically Independent
Events by default.

Technical Operation ≠ Tax-Relevant Event by default.

Event Group ≠ Single Event.

Group Identifier ≠ Event Identifier.

Event Chain ≠ Single Event Lifecycle by default.

Relationship Convenience ≠ Permission to Merge Events.

Event Merge ≠ Silent Event Deletion.

Additional Technical Detail ≠ Permission to Split Event by
default.

Event Split ≠ Historical Erasure.

Tax Advantage ≠ Event Merge Criterion.

Tax Exposure ≠ Event Split Criterion.

Reversal Event ≠ Original Event Erasure.

Replacement Event ≠ Original Event Nonexistence.

Event Supersession ≠ Historical Erasure.

Event Sequence ≠ Causation.

Relationship Cardinality ≠ Tax Aggregation Rule.

Relationship Conflict ≠ Permission for Convenient Event Mapping.

System Change ≠ Relationship Change by default.

System Boundary ≠ Event Boundary.

Cross-Border Event Relationship ≠ Tax Jurisdiction Determination.

More Records ≠ More Events.

One Contract ≠ One Event by default.

One Invoice ≠ One Event by default.

One Payment ≠ One Event by default.

One Autonomous Workflow ≠ One Tax-Relevant Event by default.

One Blockchain Transaction ≠ One Tax-Relevant Event by default.

Relationship Discovery ≠ New Event Formation.

Event Relationship ≠ Event Boundary Redetermination.

Shared Value ≠ Shared Event Identity.

Event Relationship ≠ Accountability Relationship.

Related Events ≠ Shared Liability by default.

Governed Event Relationship ≠ Tax Aggregation Determination.

Enterprise Application

TRERLS provides a governed relationship layer for systems where
economic activity spans multiple technical, operational,
organizational, or digital events.

A typical enterprise path is:

ERP / Banking / Marketplace / Blockchain /
AI Agent / Machine Infrastructure

→ Multiple Governed Tax-Relevant Events

→ TRERLS — Relationship Governance

→ Governed Event Relationship Structure

→ TREDS — Tax-Relevant Event Determination

→ Jurisdiction-Specific Tax Engine

This allows organizations to preserve the actual event structure
before tax law decides whether related events should be legally
aggregated, separated, recharacterized, or treated differently.

Canonical Boundary

TRERLS owns the governance of relationships among
already-governed Tax-Relevant Events, including relationship
identification, dependency, direction, sequence, parallelism,
conditionality, grouping, Event Chains, Event Networks,
parent–child relationships, component relationships, convergence,
divergence, reversal, replacement, continuation, merge, split,
qualification, uncertainty, conflict, reconsideration, and
relationship-level traceability.

TRERLS does not create Event Context, recognize occurrences, form
new events, independently redefine Event Boundaries, determine
Event Timing, determine Event Location, establish Event
Participation, govern the Value Lifecycle, establish Event–Value
Association, determine Event Readiness or final Tax-Relevant
Event status, determine Event Record structure, govern Event
Lifecycle continuity, establish identity, ownership,
accountability, liability, taxable value, Tax Base, Tax
Liability, tax jurisdiction, or another jurisdiction-specific
legal consequence.

Its governance ends when the relationships among the relevant
governed events are sufficiently represented for formal
Tax-Relevant Event Determination under TREDS.

Canonical Handoff

TRVAS — Governed Value-Associated Event

↓

TRERLS — Governed Event
Relationship Structure

↓

TREDS — Tax-Relevant Event Determination

Canonical Closing Statement

TRERLS preserves the structure between events without allowing
technical workflows, shared records, common participants, or
desired tax outcomes to redefine what the events are.

One economic activity may contain several events, and several
technical operations may belong to one event. Relationship
governance exists precisely because those are not the same
question.

Event Relationship ≠ Event Identity.

Multiple Technical Operations ≠ Multiple Economically Independent
Events by default.

Governed Event Relationship ≠ Tax Aggregation Determination.

TREGA™ governs the event. The jurisdiction governs the tax.

Module Architecture

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