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
Module: ERLSM — Event Relationship Sequence Module
Operational Layer: Event Relationship Sequence Governance Layer
Category: Governance & Enforcement
Subcategory: Tax-Relevant Event Governance
Type: Core Module
Governed Space: Event Relationship Sequence
Origin ID: TREGA-TRERLS-ERLSM-003
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 Event Relationship Sequence Module (ERLSM) governs how
already-identified and dependency-qualified Tax-Relevant Events
are ordered, sequenced, positioned, and related across temporal
and operational progression.

ERLSM determines whether events occur before, after, concurrently
with, conditionally following, or otherwise in a governed
sequence relative to one another.

Its principal transition is:

Governed Event Dependency Structure

↓

Event Sequence Governance

↓

Governed Event Sequence Structure

ERLSM does not determine Event Timing itself, Event Dependency,
Event Grouping, Event Merge, Event Split, causation, Event
Identity, or tax consequence.

The foundational distinction is:

Event Sequence ≠ Event Identity.

Operational Role

Dependency alone does not fully explain how events unfold.

Two events may be dependent without occurring immediately one
after another.

Several events may occur in parallel.

A later event may depend on an earlier event but be separated
from it by several intermediate events.

One Event Network may contain multiple valid sequences.

ERLSM provides the governance needed to represent how governed
events progress relative to each other without converting
chronology into causation or Event Identity.

Internal Module Flow

TRERLS operates through:

ERLIM — Event Relationship Identification

↓

ERLDM — Event
Relationship Dependency

↓

ERLSM — Event Relationship Sequence

↓

ERLGM — Event Relationship Grouping

↓

ERLMM — Event Relationship
Merge & Split

↓

Governed Event Relationship Structure

ERLSM receives the Governed Event Dependency Structure from
ERLDM.

Its output is passed to ERLGM.

Operational Transition

The canonical transition is:

Governed Event Dependency Structure + Governed Event Timing
Information

↓

Sequence Governance

↓

Governed Event Sequence
Structure

ERLSM uses already-governed timing information from TRETS.

It does not redefine Event Timing.

Operational Space

ERLSM governs: sequence existence; sequence direction;
predecessor relationships; successor relationships; concurrent
sequence; parallel progression; conditional sequence; immediate
sequence; deferred sequence; multi-stage sequence; branching
sequence; converging sequence; interrupted sequence; resumed
sequence; cyclic technical patterns where relevant; sequence
qualification; sequence uncertainty; sequence conflict; sequence
reconsideration; and sequence-specific traceability.

Operational Scope

ERLSM may govern sequence structures across: commerce; banking;
payments; ERP; accounting; logistics; marketplaces; supply
chains; blockchain systems; smart contracts; digital assets; AI
agents; autonomous machines; industrial processes; energy
systems; distributed digital infrastructure; cross-border
operations; and machine-to-machine environments.

Sequence Object

A Sequence Object is a governed representation of the relative
order between two or more governed events.

It may identify: predecessor event; successor event; concurrent
event; sequence branch; convergence point; sequence condition;
interruption; resumption; or other materially relevant order
structure.

Sequence Object ≠ Event Timing Record.

TRETS owns Event Timing.

ERLSM owns the relationship among those governed times.

Sequence Establishment

A sequence may be established where governed information supports
a meaningful order between events.

The sequence may arise from: Event Timing; operational workflow;
dependency structure; settlement progression; machine execution;
contractual process; system state transition; or another
materially relevant basis.

Earlier Event ≠ Sequence Relationship by default.

Chronological order alone does not always establish a materially
relevant Event Relationship.

Predecessor Relationship

An event may act as a predecessor to another event.

The canonical structure is:

Event A

↓

Event B

where Event A precedes Event B within the governed relationship.

However:

Predecessor ≠ Cause by default.

Successor Relationship

An event may follow one or more predecessor events.

A successor relationship describes governed progression.

It does not automatically mean the successor depends on every
earlier event.

Successor ≠ Dependent Event by default.

ERLDM remains authoritative for dependency.

Immediate Sequence

Two events may occur directly next to one another in the governed
process.

For example:

Authorization

↓

Settlement

This may be represented as immediate sequence.

However:

Immediate Sequence ≠ Same Event.

Deferred Sequence

Events may be separated by significant time while still forming a
governed sequence.

For example:

Purchase

↓

Annual Rebate

Time distance does not invalidate sequence where a material
structural relationship exists.

Time Distance ≠ Sequence Absence.

Concurrent Events

Two or more events may occur at the same or overlapping time.

ERLSM shall support concurrent sequence states.

Concurrent Events ≠ Same Event.

Concurrency does not remove separate Event Identities.

Parallel Progression

Several event paths may proceed simultaneously.

Example:

Purchase

↓

Payment

and simultaneously:

Purchase

↓

Fulfillment

The two branches may later converge.

ERLSM shall support parallel progression.

Parallel Sequence ≠ Event Group by default.

Grouping remains under ERLGM.

Branching Sequence

One event may lead into several sequence branches.

The structure may be:

A

↓

B

A

↓

C

A

↓

D

This does not require the resulting events to be merged.

Sequence Branching ≠ Event Fragmentation.

Converging Sequence

Several sequences may converge into one later event.

Example:

A

↓

D

B

↓

D

C

↓

D

This is common in settlement, aggregation, production, and
autonomous systems.

Sequence Convergence ≠ Event Merge.

Multi-Stage Sequence

Complex activity may contain multiple governed sequence stages.

Example:

Order

↓

Authorization

↓

Fulfillment

↓

Delivery

↓

Settlement

↓

Refund

Each event may remain distinct.

ERLSM preserves the progression.

Conditional Sequence

An event may follow another only when a condition is satisfied.

Example:

Return Accepted

↓

Refund Event

ERLSM may preserve that sequence condition.

It does not govern authority or permission.

Conditional Sequence ≠ Permission Governance.

Sequence and Dependency

Sequence and dependency must remain separate.

An event may follow another without depending on it.

An event may depend on another while several unrelated events
occur between them.

Therefore:

Sequence ≠ Dependency.

Sequence and Event Timing

TRETS establishes Event Timing.

ERLSM does not determine: Event Start; Event Completion; Event
Duration; legal tax point; tax period.

It consumes governed timing information to establish relative
Event Sequence.

Event Sequence ≠ Event Timing Determination.

Temporal Sequence

A temporal sequence represents order based on governed time.

The form may be:

Event A before Event B

or:

Event A concurrent with Event B

Temporal sequence is one form of Event Sequence.

Operational Sequence

Operational order may differ from simple timestamp order.

For example, a system may technically record settlement before
another system finalizes a related fulfillment record.

ERLSM may preserve operational sequence separately from raw
system timestamps.

System Timestamp Order ≠ Operational Sequence by default.

Sequence and Causation

Sequence is not proof of causation.

Before ≠ Because Of.

and:

Event Sequence ≠ Causation.

ERLSM does not determine legal, economic, or scientific
causation.

Sequence Direction

Sequence shall preserve direction where material.

A

↓

B

is distinct from:

B

↓

A

Reversal of sequence may materially change event interpretation.

Sequence Cardinality

ERLSM shall support: one-to-one;
one-to-many; many-to-one; many-to-many

sequence structures.

One-to-Many Sequence

One event may precede several events.

Example:

Order

↓

Payment

Order

↓

Fulfillment

Order

↓

Logistics

This does not mean the later events are one event.

Many-to-One Sequence

Several earlier events may precede one later event.

Example:

Multiple Sales

↓

Settlement

ERLSM may represent the sequence without merging the source
events.

Many-to-Many Sequence

Complex systems may contain several interacting sequence paths.

ERLSM shall support those structures without forcing artificial
linearization.

Interrupted Sequence

A process may stop after one event and resume later.

ERLSM may preserve:

A

↓

interruption

↓

B

where the interruption is materially relevant.

Interrupted Sequence ≠ Broken Event Relationship by default.

Resumed Sequence

A later event may resume a previously interrupted Event
Relationship path.

Resumption does not imply continuity of the same event.

Sequence Resumption ≠ Same Event Continuity.

TRECLS remains authoritative for Event Lifecycle continuity.

Reversal Sequence

A later reversal event may follow an earlier event or sequence.

ERLSM may preserve:

Original Event

↓

Reversal Event

The sequence does not erase the original event.

Reversal Sequence ≠ Historical Erasure.

Refund Sequence

A refund may occur after one or more earlier events.

ERLSM governs the sequence relationship.

It does not determine tax adjustment.

Refund Sequence ≠ Tax Adjustment Determination.

Replacement Sequence

A replacement event may follow a failed, rejected, cancelled, or
superseded event.

ERLSM may represent the sequence.

Replacement Sequence ≠ Original Event Invalidity by default.

Correction Sequence

A corrective event may follow an earlier event.

The corrected relationship shall remain historically
reconstructable.

Correction Sequence ≠ Earlier Event Erasure.

Sequence Across Systems

Related events may be recorded in systems using different clocks,
time zones, timestamps, or processing rules.

ERLSM shall rely on governed Event Timing rather than blindly
trusting raw technical timestamps.

System Timestamp ≠ Governed Sequence by default.

Sequence Across Organizations

Different organizations may record related events independently.

One system may show:

A

↓

B

while another reflects:

B recorded before A

ERLSM shall distinguish record order from governed Event
Sequence.

Record Order ≠ Event Sequence by default.

Cross-Border Sequence

Events may occur across multiple jurisdictions and time zones.

ERLSM preserves their governed sequence without determining tax
jurisdiction or tax period.

Cross-Border Sequence ≠ Tax Period Determination.

Blockchain Sequence

Blockchain systems provide deterministic ledger ordering within
particular technical contexts.

However:

Blockchain Order ≠ Complete Economic Event Sequence by default.

Off-chain events may occur before, during, or after on-chain
activity.

ERLSM may integrate both governed forms.

Smart-Contract Sequence

One smart contract may trigger a series of technical actions.

Those technical execution steps may inform sequence.

They do not automatically define the sequence of Tax-Relevant
Events.

Smart-Contract Execution Order ≠ Tax-Relevant Event Sequence by
default.

AI-Agent Sequence

AI agents may coordinate numerous actions concurrently.

For example:

Request

↓

Resource Search

↓

Allocation

while another branch performs:

Request

↓

Pricing

↓

Settlement Preparation

ERLSM shall support branching, parallel, and converging agent
sequences.

Agent Action Order ≠ Event Identity.

Machine Sequence

Machine systems may execute events based on: sensor states;
instructions; resource availability; control logic; completion
signals.

ERLSM may represent these sequences without assuming human
participation.

Sequence Qualification

A sequence may be: direct; indirect; immediate; deferred;
parallel; conditional; partial; qualified; ambiguous; conflicted.

Qualification shall remain visible.

Qualified Sequence ≠ Invalid Sequence.

Sequence Uncertainty

Available information may establish that events are related but
not establish their exact order.

ERLSM shall preserve uncertainty.

Unknown Order ≠ Unrelated Events.

Sequence Conflict

Different systems may report incompatible ordering.

ERLSM shall preserve the conflict until resolved.

Sequence Conflict ≠ Permission to Select the Most Convenient
Order.

Sequence Reconsideration

New governed timing or operational information may require
sequence reconsideration.

Prior sequence representations shall remain traceable.

Sequence Reconsideration ≠ Historical Erasure.

Sequence Stability

Once governed sequence is established, technical migration or
storage changes shall not alter it without materially relevant
information.

System Change ≠ Sequence Change by default.

Sequence and Grouping

ERLSM may produce sequence structures that later support Event
Groups, Event Chains, or Event Networks.

It does not itself create those structures.

Sequence Structure ≠ Event Group.

ERLGM remains authoritative. Sequence and
Merge / Split

Sequence complexity does not by itself justify event merge or
split.

Sequential Proximity ≠ Merge Criterion.

Sequence Divergence ≠ Split Criterion by itself.

ERLMM remains authoritative together with upstream TREFS and
TREBS.

Sequence and Taxation

ERLSM does not determine: legal tax point; tax period;
realization moment; accrual date; recognition date; tax
aggregation; tax jurisdiction; Tax Base; Tax Liability; or
another jurisdiction-specific legal consequence.

Therefore:

Governed Event Sequence ≠ Tax Timing Determination.

Governance States

ERLSM may represent:

Sequence Governance Ready

Sequence Under Governance

Predecessor Established

Successor Established

Immediate Sequence

Deferred Sequence

Concurrent Sequence

Parallel Sequence

Branching Sequence

Converging Sequence

Conditional Sequence

Interrupted Sequence

Resumed Sequence

Reversal Sequence

Replacement Sequence

Correction Sequence

Sequence Qualified

Sequence Ambiguous

Sequence Conflicted

Sequence Unresolved

Governed Event Sequence Established
Governance Requirements

ERLSM implementations shall ensure that: sequence governance
operates on governed Event Relationships; Event Timing remains
under TRETS; predecessor and successor relationships can be
represented; immediate and deferred sequence remain
distinguishable; concurrent events can be represented; parallel
progression can be represented; branching and convergence can be
represented; conditional sequence can be represented; interrupted
and resumed sequence can be represented; sequence remains
distinct from dependency; sequence remains distinct from
causation; operational sequence can be distinguished from raw
timestamp order; one-to-one, one-to-many, many-to-one, and
many-to-many sequence structures can be represented; cross-system
sequence can remain reconstructable; cross-organization sequence
can remain reconstructable; cross-border sequence does not become
Tax Period determination; blockchain ordering is not
automatically treated as complete economic sequence; autonomous
and machine-generated sequence can be governed; sequence
uncertainty remains visible; sequence conflict remains visible;
sequence reconsideration remains traceable; system changes do not
automatically alter sequence; grouping remains under ERLGM; Merge
& Split remains under ERLMM; and jurisdiction-specific tax timing
remains downstream.

Governance Logic

IF ERLDM establishes a materially relevant Event Dependency
Structure, THEN ERLSM shall evaluate the relative Event Sequence
where required.

IF Event A materially precedes Event B within the governed
relationship, THEN a predecessor–successor relationship may be
established.

IF events occur concurrently, THEN concurrency shall be preserved
rather than forcing artificial linear order.

IF one event precedes multiple events, THEN branching sequence
may be represented.

IF multiple earlier events converge into one later event, THEN
converging sequence may be represented without merging the
earlier events.

IF sequence depends on a condition, THEN the conditional state
shall remain explicit.

IF system timestamps conflict with governed operational
information, THEN raw timestamp order shall not automatically
determine sequence.

IF sequence remains uncertain or conflicted, THEN the applicable
governance state shall remain visible.

IF sequence information suggests Event Formation or Boundary
problems, THEN those issues shall be referred upstream rather
than resolved inside ERLSM.

IF the Event Sequence Structure is sufficiently governed, THEN it
shall proceed to ERLGM for Event Relationship Grouping
governance.

Minimum Implementation Framework

A minimum ERLSM implementation should support:

Dependency Structure Reference The ERLDM output entering sequence
governance.

Sequence Identifier A stable identifier for the governed sequence
relationship.

Primary Event Reference The event whose sequence relationship is
being governed.

Related Event Reference The event positioned relative to the
primary event.

Predecessor Event Reference Where a governed predecessor exists.

Successor Event Reference Where a governed successor exists.

Sequence Direction The governed directional order.

Sequence Type Immediate, deferred, concurrent, parallel,
conditional, branching, converging, interrupted, resumed, or
other governed sequence type.

Sequence Basis The governed information supporting sequence.

Event Timing References The relevant TRETS outputs used in
sequence governance.

Operational Sequence Reference Where operational order differs
from simple timestamp ordering.

Sequence Condition Any governed condition controlling
progression.

Branch Reference Where the event belongs to a branching sequence.

Convergence Reference Where multiple sequence paths converge.

Sequence Cardinality One-to-one, one-to-many, many-to-one, or
many-to-many.

Sequence Extent The part of the relationship to which sequence
applies.

Sequence Confidence The qualified confidence in the sequence
determination.

Ambiguity State Whether exact ordering remains uncertain.

Conflict State Whether materially conflicting ordering
information exists.

Prior Sequence Reference Where a prior governed sequence has been
reconsidered.

Correction / Reconsideration Reference The relevant change
history.

Sequence Traceability Reference Information required to
reconstruct the sequence decision.

Governance State The current ERLSM governance state.

Handoff State Whether the sequence structure is ready for ERLGM.

Governance Outputs

ERLSM may produce: Governed Event Sequence; Predecessor
Relationship; Successor Relationship; Immediate Sequence;
Deferred Sequence; Concurrent Sequence; Parallel Sequence;
Branching Sequence; Converging Sequence; Conditional Sequence;
Interrupted Sequence; Resumed Sequence; Reversal Sequence; Refund
Sequence; Replacement Sequence; Correction Sequence; Sequence
Direction Record; Sequence Cardinality Record; Sequence
Confidence State; Sequence Ambiguity State; Sequence Conflict
State; Sequence Traceability Record; and the principal output:
Governed Event Sequence Structure.

Critical Distinctions

Event Sequence ≠ Event Identity.

Sequence Object ≠ Event Timing Record.

Earlier Event ≠ Sequence Relationship by default.

Predecessor ≠ Cause by default.

Successor ≠ Dependent Event by default.

Immediate Sequence ≠ Same Event.

Time Distance ≠ Sequence Absence.

Concurrent Events ≠ Same Event.

Parallel Sequence ≠ Event Group by default.

Sequence Branching ≠ Event Fragmentation.

Sequence Convergence ≠ Event Merge.

Conditional Sequence ≠ Permission Governance.

Sequence ≠ Dependency.

Event Sequence ≠ Event Timing Determination.

System Timestamp Order ≠ Operational Sequence by default.

Before ≠ Because Of.

Event Sequence ≠ Causation.

Interrupted Sequence ≠ Broken Event Relationship by default.

Sequence Resumption ≠ Same Event Continuity.

Reversal Sequence ≠ Historical Erasure.

Refund Sequence ≠ Tax Adjustment Determination.

Replacement Sequence ≠ Original Event Invalidity by default.

Correction Sequence ≠ Earlier Event Erasure.

System Timestamp ≠ Governed Sequence by default.

Record Order ≠ Event Sequence by default.

Cross-Border Sequence ≠ Tax Period Determination.

Blockchain Order ≠ Complete Economic Event Sequence by default.

Smart-Contract Execution Order ≠ Tax-Relevant Event Sequence by
default.

Agent Action Order ≠ Event Identity.

Qualified Sequence ≠ Invalid Sequence.

Unknown Order ≠ Unrelated Events.

Sequence Conflict ≠ Permission to Select the Most Convenient
Order.

System Change ≠ Sequence Change by default.

Sequence Structure ≠ Event Group.

Sequential Proximity ≠ Merge Criterion.

Governed Event Sequence ≠ Tax Timing Determination.

Enterprise Application

ERLSM provides the sequencing layer needed to reconstruct how
related events progress across fragmented systems.

A typical path is:

ERLIM — Governed Event Relationship
Candidate Set

→ ERLDM — Governed Event Dependency Structure

→ ERLSM — Governed Event Sequence Structure

→ ERLGM — Event Relationship Grouping

→ ERLMM — Merge & Split Governance

→ Governed Event Relationship Structure

This allows systems to preserve operational progression without
confusing timestamps, dependencies, or technical processing order
with legal tax timing. Use Case 1 — Cross-System Commerce
Sequence

A global commerce transaction generates an order event, payment
authorization, fulfillment event, shipment event, settlement
event, and later refund event.

Different systems record these events at different times and in
different technical orders.

ERLSM uses governed Event Timing and operational relationships to
establish the actual Event Sequence while preserving concurrency,
delays, and later reversal activity.

It does not determine the legal tax point or tax period.

The resulting Governed Event Sequence Structure can then proceed
to ERLGM for grouping. Use Case 2 — Autonomous Parallel Event
Sequence

An AI agent initiates a resource request.

One branch performs machine allocation and execution.

Another branch performs pricing and settlement preparation.

The branches later converge when consumption data is finalized
and settlement occurs.

ERLSM represents the parallel, branching, and converging sequence
without collapsing the autonomous workflow into one event or
forcing a false linear order.

The sequence remains jurisdiction-neutral and suitable for
subsequent Event Grouping governance.

Canonical Boundary

ERLSM owns the governance of relative order,
predecessor–successor relationships, concurrency, parallel
progression, branching, convergence, conditional sequence,
interruption, resumption, sequence qualification, uncertainty,
conflict, reconsideration, and sequence-specific traceability
among governed related events.

ERLSM does not determine Event Timing itself, establish
dependency, create Event Groups, determine Event Networks, merge
or split events, form new events, redefine Event Boundaries,
determine participation, Value Association, causation,
accountability, liability, legal tax point, tax period, Tax Base,
Tax Liability, or another jurisdiction-specific legal conclusion.

Its governance ends when the relevant Event Sequence is
sufficiently represented for downstream Event Relationship
Grouping governance under ERLGM.

Canonical Handoff

ERLDM — Governed Event Dependency Structure

↓

ERLSM — Governed
Event Sequence Structure

↓

ERLGM — Event Relationship Grouping
Governance

Canonical Closing Statement

ERLSM governs how related events progress without allowing
chronology to become Event Identity, dependency, causation, or
legal tax timing.

The fact that one event happens before another explains order. It
does not, by itself, explain why the event happened or what tax
law should do with it.

Event Sequence ≠ Event Identity.

Event Sequence ≠ Tax Timing Determination.