OOF™ Origin Open Foundation™

Independent Methodological Authority

Architecture Ecosystem: Structured Reality Standards™
Architecture Family: TREGA™ — Tax-Relevant Event Governance Architecture™
Parent Standard: Tax-Relevant Event Location Standard (TRELS)
Module: ELCM — Event Location Correlation Module
Operational Layer: Event Location Correlation Governance Layer
Category: Governance & Enforcement
Subcategory: Tax-Relevant Event Governance
Type: Core Module
Governed Space: Event Location Correlation
Origin ID: TREGA-TRELS-ELCM-005
Version: 1.0
Status: Canonical · Open Standard
Effective Date: 31 August 2026
AI-Readable: Yes
Authority: OOF®
Protection: MIP® — Methodology Intellectual Property Protection
Canonical Language: UCL — Universal Canonical Language

Canonical Definition

The Event Location Correlation Module (ELCM) governs how the
physical, digital, distributed, temporal, and supporting spatial
representations of a Tax-Relevant Event are correlated into a
coherent, traceable, and jurisdiction-neutral final location
representation of the governed event.

ELCM operates after the relevant Event Location signals have been
identified through ELIM, Physical Event Location has been
governed through ELPM, Digital Event Location has been governed
through ELDM, and Distributed Event Location has been governed
through ELDSM.

Its canonical task is:

to correlate the legitimate spatial representations of the
governed event into a coherent Governed Event Location without
collapsing distinct physical, digital, distributed, or temporally
changing locations into an artificial single point and without
converting operational location correlation into Tax Jurisdiction
determination.

ELCM completes the spatial governance of the Tax-Relevant Event.

The principal transition is:

Governed Event Physical Location + Governed Event Digital
Location + Governed Event Distributed Location + Governed Event
Timing

↓

Governed Event Location Correlation

↓

Governed
Temporally and Spatially Situated Event

The resulting event is sufficiently governed in operational time
and operational space to proceed to:

TREPS — Tax-Relevant Event Participation
Standard

Operational Role

An event may contain several legitimate spatial representations.

It may possess: one or more physical locations; one or more
digital locations; distributed locations; changing locations;
simultaneous locations; sequential locations; machine locations;
autonomous-system locations; infrastructure locations; and
location signals with different levels of precision, confidence,
and evidential strength.

These locations may describe different spatial dimensions of the
same event.

Without correlation, downstream systems may incorrectly: select
one location and discard others; treat different spatial
dimensions as contradictions; confuse infrastructure location
with Event Location; confuse participant location with Event
Location; interpret distributed execution as multiple events;
infer Tax Jurisdiction directly from operational geography; or
convert uncertain spatial evidence into false geographic
certainty.

ELCM establishes the final governance layer that determines how
already-governed location components relate to the same
Tax-Relevant Event.

Location Correlation ≠ Location Simplification.

Its purpose is not to make complex spatial reality appear simple.

Its purpose is to make complex spatial reality governable.

Internal Flow

Within TRELS, ELCM occupies the fifth and final operational
position:

ELIM — What spatial information legitimately belongs to the
event?

↓

ELPM — What physical location materially belongs to the
event?

↓

ELDM — What digital location materially belongs to the
event?

↓

ELDSM — How is a genuinely distributed event spatially
represented?

↓

ELCM — How are the legitimate event locations
correlated into a coherent governed spatial representation?

↓

Governed Temporally and Spatially Situated Event

ELCM receives:

Governed Event Physical Location

Governed Event Digital Location

Governed Event Distributed Location

together with relevant governed temporal information from TRETS.

It produces: Governed Temporally and
Spatially Situated Event

This output completes TRELS and becomes the governed input to
TREPS.

Operational Space

ELCM governs the final correlation of Event Location information.

Its operational space includes: physical-digital location
correlation; distributed-location correlation; temporal-spatial
correlation; multi-location correlation; location-role
correlation; location-type differentiation; location consistency;
location coexistence; location hierarchy; location equivalence;
location divergence; location conflict; location uncertainty;
location precision; location confidence; location transitions;
simultaneous location; sequential location; hybrid location;
dynamic location; machine and autonomous location correlation;
spatial evidence correlation; location correction; location
continuity; location traceability; final Event Location
representation; and readiness for Event Participation governance.

Operational Scope

ELCM shall support final spatial correlation for events
involving: physical commerce; digital commerce; cross-border
transactions; cloud services; digital platforms; financial
infrastructure; payment systems; distributed computing; AI
systems; AI agents; autonomous systems; robotics;
machine-to-machine activity; IoT systems; telecommunications;
industrial automation; logistics; supply chains; manufacturing;
digital assets; distributed ledgers; infrastructure networks;
hybrid physical-digital services; and future decentralized or
machine-mediated economic environments.

1. Location Correlation Readiness

ELCM shall determine whether sufficient governed spatial
information exists to begin final location correlation.

Correlation readiness may include: Governed Event Physical
Location; Governed Event Digital Location; Governed Event
Distributed Location; relevant Event Timing; Event Boundary;
spatial evidence; spatial precision; uncertainty states; conflict
states; and traceability references.

Not every event requires every location type.

Therefore:

Missing Location Type ≠ Correlation Failure by Default.

A purely physical event may legitimately possess no Digital Event
Location.

A purely digital event may possess no meaningful Physical Event
Location.

A distributed event may require several spatial components.

ELCM shall correlate only spatial dimensions legitimately
belonging to the event. 2. Location Component Identification

ELCM shall identify the governed spatial components requiring
correlation.

Each component shall remain distinguishable by type and
operational role.

Possible components include: physical; digital; distributed;
hybrid; sequential; simultaneous; dynamic; machine; autonomous;
infrastructural; or qualified spatial representations.

Correlation ≠ Erasure of Spatial Type.

Physical and digital locations shall not lose their governance
meaning merely because they are incorporated into a final Event
Location representation. 3. Physical-Digital Correlation

Where both physical and digital locations materially belong to
the event, ELCM shall establish their operational relationship.

For example:

Physical Machine Location ↔ Edge
Environment ↔ Cloud Execution Environment

or:

Physical Service Delivery Location ↔
Digital Platform Environment

The resulting representation may legitimately contain both
dimensions.

Physical Location ≠ Digital Location.

Physical-Digital Correlation ≠ Requirement to Select One. 4.
Distributed Location Correlation

Where ELDSM establishes a Governed Event Distributed Location,
ELCM shall correlate its constitutive spatial components into the
final Event Location representation.

ELCM shall preserve: distributed structure; component roles;
temporal association; supported precision; uncertainty; conflict;
and traceability.

Distributed Location Correlation ≠ Geographic Consolidation by
Default.

A distributed event shall remain distributed where that is the
legitimate operational representation. 5. Temporal-Spatial
Correlation

Event Location may change throughout the governed Event Timing.

ELCM shall support correlation such as:

T1

↓

Location A

T2

↓

Location B

T3

↓

Location B + Digital Environment C

T4

↓

Distributed Locations D/E/F

Temporal-spatial correlation shall preserve the relationship
between when and where without changing ownership boundaries.

TRETS owns Event Timing.

TRELS owns Event Location.

ELCM correlates governed spatial representation with the temporal
structure necessary to represent location correctly.

Temporal-Spatial Correlation ≠ Event Relationship Determination.
6. Sequential Location Correlation

Where an event moves through several locations sequentially, ELCM
shall preserve that sequence.

For example:

Location A

↓

Location B

↓

Location C

ELCM shall not automatically select the first, last, longest, or
commercially preferred location as the definitive Event Location.

First Location ≠ Primary Event Location by Default.

Final Location ≠ Primary Event Location by Default.

Longest-Duration Location ≠ Primary Event Location by Default. 7.
Simultaneous Location Correlation

An event may legitimately occur across several locations
simultaneously.

ELCM shall represent simultaneous spatial states without treating
them as contradictory.

Different Concurrent Locations ≠ Location Conflict by Default.

Simultaneous distributed activity can be a legitimate property of
one bounded event. 8. Dynamic Location Correlation

Events involving mobile machines, vehicles, devices, autonomous
systems, migrating workloads, or changing infrastructure may
possess dynamic spatial states.

ELCM shall preserve materially relevant changes without forcing
every movement into a separate event.

Dynamic Location ≠ Unstable Governance.

Location Change ≠ New Event by Default. 9.
Location Role Correlation

Different locations may perform different operational roles.

ELCM may classify location roles such as: constitutive;
execution; physical performance; digital execution; coordination;
processing; transitional; supporting; infrastructure; storage;
observation; recording; or other justified operational roles.

Role classification shall prevent unlike locations from being
treated as equivalent merely because all are associated with the
event.

Location Association ≠ Location Equivalence. 10. Constitutive and
Supporting Location Correlation

ELCM shall preserve the distinction between locations
constituting the event and locations merely supporting it.

A supporting data center, payment processor, logging environment,
corporate office, or routing node may be spatially relevant
without constituting Event Location.

Supporting Location ≠ Constitutive Event Location.

A supporting location shall not be elevated to constitutive
status merely because it is easier to identify. 11. Location
Hierarchy

Spatial information may exist at several levels:

Coordinates

↓

Facility

↓

City

↓

Region

↓

Country

or:

Execution Instance

↓

Availability Zone

↓

Cloud Region

↓

Distributed Cloud Environment

ELCM shall preserve legitimate hierarchical relationships where
relevant.

However:

Higher Geographic Level ≠ More Authoritative Location.

Country-Level Classification ≠ Complete Event Location by
Default.

The final representation shall preserve the precision justified
by operational evidence. 12. Location Equivalence

Different location records may refer to the same operational
place.

For example: coordinates and facility address; facility
identifier and industrial site; cloud-region code and named cloud
region; machine identifier and known machine installation
location.

ELCM may establish operational equivalence where supported.

Different Location Representations ≠ Different Locations by
Default.

Equivalence shall be evidence-based and
traceable. 13. Location Divergence

Two legitimate locations may differ because they describe
different spatial dimensions of the same event.

For example:

Physical execution: Switzerland

Digital execution: Germany

This is not necessarily a conflict.

Location Divergence ≠ Location Conflict by Default.

ELCM shall preserve legitimate divergence where operational
reality supports it. 14. Location Conflict

Location Conflict exists where two or more location claims
purport to describe the same spatial property of the event but
cannot be reconciled under available evidence.

Examples may include: incompatible physical-location evidence;
conflicting device-location records; contradictory
infrastructure-location records; inconsistent geolocation
sources; or incompatible event-location claims.

ELCM shall distinguish conflict from legitimate multi-location
reality.

Multiple Locations ≠ Conflict by Default.

Contradictory Claims About the Same Location Property = Potential
Location Conflict. 15. Conflict Isolation

A conflict affecting one spatial component shall not
automatically invalidate the entire Event Location
representation.

For example: Physical Location may be established; Digital
Location may be established; one cloud-region component may
remain conflicted.

ELCM shall isolate the unresolved component.

Partial Spatial Conflict ≠ Total Spatial Invalidity. 16. Location
Uncertainty

ELCM shall preserve uncertainty where available evidence does not
support exact spatial determination.

Possible representations include: exact; bounded; approximate;
regional; multi-region; distributed; inferred; qualified;
partially known; conflicted; or unresolved.

Location Uncertainty ≠ Permission to Manufacture Geographic
Certainty.

Where the event can only legitimately be situated at regional
level, ELCM shall not create artificial city-level or
facility-level precision. 17. Location Precision

ELCM shall maintain the highest spatial precision legitimately
supported by evidence and operational relevance.

However:

Technical Location Precision ≠ Governance Accuracy.

Exact GPS coordinates can be irrelevant or misleading.

A broad cloud region may be the most legitimate representation of
a digital component.

Precision shall therefore be governed, not merely inherited from
source systems. 18. Location Confidence

ELCM may associate confidence with spatial components where
useful.

Confidence shall reflect governance quality of the location
representation, not the convenience of the source.

A highly precise but weakly supported signal may legitimately
receive lower confidence than a broader but strongly evidenced
location.

Precision ≠ Confidence.

Confidence ≠ Legal Certainty. 19. Spatial
Evidence Correlation

ELCM shall preserve the evidence supporting each material spatial
conclusion.

Evidence may include: operational system records; machine
records; infrastructure records; device data; network
information; physical records; transaction data; platform
records; cloud metadata; logistics records; or other governed
evidence sources.

ADIT® governs evidence and auditability.

ELCM governs how legitimate spatial evidence supports Event
Location correlation. 20. Infrastructure Location Correlation

Infrastructure locations may support an event without defining
it.

ELCM shall distinguish:

Infrastructure Location

from:

Event Location

Examples include: server facilities; cloud regions; network
nodes; storage facilities; payment infrastructure; data centers;
telecommunications infrastructure; or replicated systems.

Infrastructure Location ≠ Event Location by Default. 21. Server
Location Correlation

A server may process part of an event.

That does not automatically make server geography the definitive
location of the event.

Server Location ≠ Event Location by Default.

Where server execution is materially constitutive, it may form
one component of Digital or Distributed Event Location.

It shall not automatically displace other legitimate locations.
22. IP Location Correlation

IP-based geolocation may provide useful spatial evidence.

However:

IP Address Location ≠ Event Location by Default.

IP Geolocation ≠ Participant Residence.

IP Geolocation ≠ Tax Jurisdiction.

ELCM may use IP-derived information only at the level of
confidence and precision justified by the evidence. 23. Device
Location Correlation

Device location may contribute to Event Location where the device
materially participates in the event.

However:

Device Location ≠ Event Location by Default.

A device may be remote from: service execution; value creation;
physical performance; participant residence; organizational
location; or other event components.

ELCM shall preserve these distinctions.
24. Participant Location Correlation

Event participants may have locations relevant to downstream
analysis.

However, Participant Location is not automatically Event
Location.

TREPS governs Event Participation.

OBIDENITY® governs origin-bound identity.

Therefore:

Participant Location ≠ Event Location by Default.

Participant Residence ≠ Event Location.

Event Location ≠ Taxpayer Residence.

ELCM shall not determine participant identity, residence,
taxpayer status, or legal presence. 25. Corporate Location
Correlation

Corporate headquarters, registered offices, operational offices,
subsidiaries, branches, or management locations may be associated
with an event.

Their existence does not automatically establish Event Location.

Corporate Headquarters ≠ Event Location by Default.

Registered Office ≠ Event Location by Default.

Corporate Presence ≠ Event Location by Default.

Legal consequences associated with corporate presence remain
outside TREGA™. 26. Autonomous-System Location Correlation

Autonomous systems may operate across: physical machines; edge
infrastructure; cloud services; external APIs; distributed
databases; other autonomous agents; and digital platforms.

ELCM shall correlate materially constitutive spatial components
without attempting to create a fictional legal residence for the
autonomous system.

Autonomous System Location ≠ Legal Residence.

Autonomous Execution Geography ≠ Tax Residence. 27. AI Agent
Location Correlation

AI-agent activity may have no meaningful single physical
location.

The agent may operate through a distributed orchestration
environment while invoking models, tools, services, databases,
and physical systems in different places.

ELCM shall permit:

Distributed Agent Operational Location

where that representation best reflects the event.

AI Agent Location ≠ Owner Location.

AI Agent Location ≠ Developer Location.

AI Agent Location ≠ Tax Jurisdiction. 28. Machine-to-Machine
Location Correlation

Machine-to-machine events may involve several physical machines
and multiple digital environments.

ELCM shall correlate these spatial components without requiring
human geography to define the event.

For example:

Machine A — Physical Location A

Machine B — Physical Location B

Edge Controller — Digital Environment C

Cloud Orchestrator — Digital Environment D

may jointly form the governed spatial representation.

Machine Event Geography ≠ Human Participant Geography. 29.
Platform Location Correlation

A digital platform may operate globally while an individual event
uses only a limited subset of its infrastructure.

ELCM shall correlate event-specific locations rather than the
entire geographic footprint of the platform.

Platform Presence ≠ Event Presence.

Global Platform Infrastructure ≠ Global Event Location. 30.
Distributed Ledger Location Correlation

Distributed ledger infrastructure may contain nodes across many
jurisdictions.

ELCM shall not treat every node maintaining, validating,
observing, or replicating ledger state as a constitutive location
of every event.

Ledger Distribution ≠ Event Distribution by Default.

Only operationally material spatial components shall enter the
final Event Location representation. 31. Location Correlation and
Event Boundary

ELCM shall remain within the Event Boundary established under
TREBS.

It shall not expand the event merely because additional spatial
information exists.

Spatial Association ≠ Event Inclusion by Default.

A location outside the governed Event Boundary shall not become
part of Event Location merely through technical, commercial, or
organizational association. 32. Location Correlation and Event
Timing

TRETS provides the temporal structure necessary to determine when
particular spatial states belong to the event.

ELCM may correlate those spatial states with time.

It shall not redefine Event Start, Event Completion, Event
Duration, or Event Temporal Order.

Location Correlation ≠ Timing Governance.

TRETS governs when.

TRELS governs where. 33. Location
Correlation and Event Participation

The next Parent Standard, TREPS, determines who or what
participated in the event and in what governed role.

ELCM shall therefore preserve spatial information without
prematurely converting location into participation.

Presence at Event Location ≠ Event Participation by Default.

Event Participation ≠ Taxpayer Determination. 34. Location
Correlation and Value Association

TRVAS subsequently governs which governed value result belongs to
the event.

ELCM shall not infer value ownership, value origin, value state,
value movement, value recognition, or value allocation from
location alone.

Value at a Location ≠ Event Value Association by Default.

VFM® governs what happened to value.

TREGA™ later governs which governed value result belongs to the
event. 35. Location Correlation and Event Relationships

Spatial proximity or shared location may indicate that events
warrant further relationship analysis.

It does not establish the relationship.

Same Location ≠ Same Event.

Same Location ≠ Event Relationship by Default.

Spatial Proximity ≠ Causation.

TRERLS governs Event Relationships. 36. Location Correlation and
Event Determination

ELCM prepares spatially governed information for later TREGA
stages.

It does not determine whether the event is legally taxable.

Governed Event Location ≠ Taxability Determination.

Spatial Completeness ≠ Legal Taxability.

TREDS governs Tax-Relevant Event Determination.

Jurisdiction-specific systems subsequently govern legal tax
consequences. 37. Event Location Correction

Final Event Location correlation may require correction as
evidence improves or errors are identified.

ELCM shall preserve: previous spatial state; corrected spatial
state; correction reason; supporting evidence; timestamp;
governance authority; and traceability.

Event Location Correction ≠ Historical Erasure. 38. Event
Location Continuity

ELCM shall preserve continuity of spatial representation across
material location changes.

A governed event may move from:

Location State 1

↓

Location State 2

↓

Location State 3

without losing its Event Identity.

Location Continuity ≠ Spatial Immutability.

The location representation may change while the same bounded
event continues. 39. Final Event Location Representation

ELCM shall construct the final operational location
representation appropriate to the event.

Possible representations include:

Single Physical Location

Single Digital Location

Physical + Digital Location

Sequential Multi-Location

Simultaneous Multi-Location

Distributed Physical Location

Distributed Digital Location

Hybrid Distributed Location

Dynamic Location

Qualified Location

Partially Resolved Location

No Legitimate Single Primary Location

The final representation shall reflect operational reality rather
than downstream schema convenience. 40. Single-Location Reduction
Control

ELCM shall prevent unjustified reduction of a complex event into
a single location.

A downstream system may require a country code or one location
field.

Such technical requirements shall not redefine the governed
event.

Single Database Location Field ≠ Single Event Location Reality.

Where necessary, downstream mappings may derive
jurisdiction-specific representations from the governed event
layer while the canonical TREGA™ record preserves the richer
operational reality. 41. Location Correlation and Tax
Jurisdiction

ELCM shall maintain a strict boundary between operational Event
Location and legal Tax Jurisdiction.

ELCM does not determine: Tax Jurisdiction; tax nexus; residence;
permanent establishment; significant economic presence; source
jurisdiction; place of supply; legal situs; customs origin;
taxable presence; taxing rights; profit allocation; revenue
allocation; tax-base allocation; transfer-pricing treatment;
Legal Tax Point; Tax Period; Tax Liability; or
jurisdiction-specific reporting obligations.

The foundational distinction is: Event Location ≠ Tax
Jurisdiction.

Related distinctions include:

Operational Location ≠ Legal Tax Situs.

Digital Location ≠ Legal Place of Supply.

Server Location ≠ Tax Nexus.

Data Center Location ≠ Permanent Establishment by Default.

Participant Location ≠ Taxpayer Residence.

Distributed Location ≠ Distributed Taxing Rights.

Location Correlation ≠ Jurisdiction Determination. 42.
Jurisdiction-Ready Spatial Representation

The output of ELCM shall be capable of supporting multiple
downstream jurisdictional evaluations without being rewritten for
each jurisdiction.

The canonical model is:

One Governed Event

↓

One Governed Temporal-Spatial Reality

↓

Multiple Jurisdictional Evaluations

Jurisdiction A may evaluate the physical component.

Jurisdiction B may apply digital-service rules.

Jurisdiction C may apply participant, source, nexus, residence,
or place-of-supply rules.

These legal evaluations may differ.

The underlying governed event should not.

Jurisdiction-Ready ≠
Jurisdiction-Determined. 43. Governance
States

ELCM may assign states including:

Correlation Ready Required governed spatial inputs are
sufficiently available.

Correlation Under Governance Spatial components are being
correlated.

Correlation Established Material spatial components are
coherently correlated.

Correlation Single-Location One location legitimately represents
the event.

Correlation Multi-Location Several locations legitimately
represent the event.

Correlation Distributed Distributed representation is required.

Correlation Hybrid Physical and digital spatial dimensions
jointly represent the event.

Correlation Dynamic The event's legitimate spatial state changes
materially over time.

Correlation Partial A legitimate spatial representation exists
but some components remain unresolved.

Correlation Qualified The representation requires explicit
qualification.

Correlation Conflicted Material spatial evidence remains
conflicting.

Correlation Unresolved Available evidence cannot support a
legitimate final correlation.

Spatially Situated The event has achieved sufficient location
governance to proceed to Event Participation governance. 44.
Governance Requirements

ELCM implementations shall: consume governed spatial outputs from
ELIM, ELPM, ELDM, and ELDSM as applicable; consume relevant
governed Event Timing from TRETS; identify spatial components
requiring correlation; preserve location types; preserve
physical-digital distinctions; preserve distributed spatial
structure; support temporal-spatial correlation; support
sequential location; support simultaneous location; support
dynamic location; distinguish constitutive from supporting
locations; distinguish divergence from conflict; support location
hierarchy; support location equivalence; preserve spatial
precision; preserve uncertainty; preserve confidence; isolate
conflicts; preserve evidence references; preserve correction
history; preserve location continuity; preserve Event Boundary;
prevent artificial single-location reduction; prevent participant
location from becoming Event Location by default; prevent
infrastructure location from becoming Event Location by default;
prevent Event Location from becoming Tax Jurisdiction; maintain
jurisdiction neutrality; produce a traceable final Event Location
representation; and produce a Governed Temporally and Spatially
Situated Event suitable for TREPS.

45. Governance Logic

ELCM follows the canonical logic:

Governed Physical Location + Governed Digital Location + Governed
Distributed Location + Governed Event Timing

↓

identify
legitimate spatial components

↓

correlate physical, digital,
distributed, sequential, simultaneous, hybrid, and dynamic
spatial states

↓

distinguish coexistence, equivalence,
divergence, and conflict

↓

preserve precision, uncertainty,
confidence, continuity, correction, and traceability

↓

establish
final Governed Event Location

↓

produce Governed Temporally and
Spatially Situated Event.

The governing rule is:

Preserve spatial reality first. Permit legal interpretation
later. 46. Minimum Implementation Framework

A minimum ELCM implementation should support:

Governed Event Reference Reference to the bounded Tax-Relevant
Event.

Location Correlation Identifier Unique identifier for the final
location-correlation record.

Physical Location Reference Governed ELPM output where
applicable.

Digital Location Reference Governed ELDM output where applicable.

Distributed Location Reference Governed ELDSM output where
applicable.

Temporal Reference Relevant governed TRETS information.

Location Components Material spatial components belonging to the
event.

Location Type Physical, digital, distributed, hybrid, dynamic, or
other legitimate type.

Location Role Operational role of each spatial component.

Constitutive State Whether the location materially constitutes
the event.

Temporal Association Relevant time or interval associated with
each location.

Location Relationship Operational spatial relationship among
components.

Location Equivalence State Whether different records describe the
same operational place.

Location Divergence State Whether legitimate spatial dimensions
differ.

Location Conflict State Whether incompatible claims remain.

Location Precision Supported geographic or digital precision.

Location Uncertainty Known spatial uncertainty.

Location Confidence Governance confidence where applicable.

Primary Location State Primary, non-primary, no-primary, or
unresolved where relevant.

Evidence References Evidence supporting correlation.

Correction History Material corrections.

Traceability Reference Governance history.

Jurisdiction-Neutrality State Confirmation that no
jurisdiction-specific tax conclusion has been embedded.

Governance State Current ELCM state.

Handoff State Readiness for TREPS. 47.
Governance Outputs

ELCM may produce: Location Correlation Readiness Record; Spatial
Component Register; Physical-Digital Correlation Record;
Distributed Location Correlation Record; Temporal-Spatial
Correlation Record; Sequential Location Record; Simultaneous
Location Record; Dynamic Location Record; Location Role Record;
Constitutive Location Record; Supporting Location Record;
Location Hierarchy Record; Location Equivalence Record; Location
Divergence Record; Location Conflict Record; Location Uncertainty
Record; Location Precision Record; Location Confidence Record;
Spatial Evidence Correlation Record; Location Correction Record;
Location Continuity Record; Final Event Location Representation;
Jurisdiction-Neutrality Record; and the principal TRELS output:

Governed Temporally and Spatially Situated
Event

This output becomes the governed input to: TREPS — Tax-Relevant
Event Participation Standard48. Critical Distinctions

Location Correlation ≠ Location
Simplification

Missing Location Type ≠ Correlation
Failure

Correlation ≠ Erasure of Spatial Type

Physical Location ≠ Digital Location

Physical-Digital Correlation ≠ Requirement
to Select One

Distributed Location Correlation ≠
Geographic Consolidation

Temporal-Spatial Correlation ≠ Event
Relationship Determination

First Location ≠ Primary Event Location

Final Location ≠ Primary Event Location

Longest-Duration Location ≠ Primary Event
Location

Different Concurrent Locations ≠ Location
Conflict

Dynamic Location ≠ Unstable Governance

Location Change ≠ New Event

Location Association ≠ Location
Equivalence

Supporting Location ≠ Constitutive Event
Location

Higher Geographic Level ≠ More
Authoritative Location

Country-Level Classification ≠ Complete
Event Location

Different Location Representations ≠
Different Locations

Location Divergence ≠ Location Conflict

Multiple Locations ≠ Conflict

Partial Spatial Conflict ≠ Total Spatial
Invalidity

Location Uncertainty ≠ Permission to
Manufacture Geographic Certainty

Technical Location Precision ≠ Governance
Accuracy

Precision ≠ Confidence

Confidence ≠ Legal Certainty

Infrastructure Location ≠ Event Location

Server Location ≠ Event Location

IP Address Location ≠ Event Location

IP Geolocation ≠ Participant Residence

Device Location ≠ Event Location

Participant Location ≠ Event Location

Participant Residence ≠ Event Location

Event Location ≠ Taxpayer Residence

Corporate Headquarters ≠ Event Location

Registered Office ≠ Event Location

Autonomous System Location ≠ Legal
Residence

AI Agent Location ≠ Owner Location

AI Agent Location ≠ Developer Location

Machine Event Geography ≠ Human
Participant Geography

Platform Presence ≠ Event Presence

Global Platform Infrastructure ≠ Global
Event Location

Ledger Distribution ≠ Event Distribution

Spatial Association ≠ Event Inclusion

Location Correlation ≠ Timing Governance

Presence at Event Location ≠ Event
Participation

Value at a Location ≠ Event Value
Association

Same Location ≠ Same Event

Spatial Proximity ≠ Causation

Governed Event Location ≠ Taxability
Determination

Spatial Completeness ≠ Legal Taxability

Event Location Correction ≠ Historical
Erasure

Location Continuity ≠ Spatial Immutability

Single Database Location Field ≠ Single
Event Location Reality

Event Location ≠ Tax Jurisdiction

Operational Location ≠ Legal Tax Situs

Digital Location ≠ Legal Place of Supply

Server Location ≠ Tax Nexus

Data Center Location ≠ Permanent
Establishment by Default

Distributed Location ≠ Distributed Taxing
Rights

Location Correlation ≠ Jurisdiction
Determination

Jurisdiction-Ready ≠
Jurisdiction-Determined 49. Enterprise
Application

ELCM provides the final spatial-governance layer between complex
operational reality and jurisdiction-specific taxation
infrastructure.

A generalized enterprise implementation may operate as:

ERP + Commerce + Banking + Digital Platform + Cloud
Infrastructure + AI Agents + Autonomous Machines + Operational
Systems

↓

TREGA™ Event Layer

↓

TRETS Governed Event Timing

↓

TRELS Governed Event Location

↓

ELCM Location Correlation

↓

Governed Temporally and Spatially Situated Event

↓

TREPS Event
Participation

↓

Subsequent TREGA Governance

↓

Jurisdiction-Specific Tax Engines

This allows organizations to maintain one governed operational
representation of the event while multiple jurisdictions
independently evaluate its legal tax implications.

The operational record therefore does not need to be
reconstructed differently for every tax regime.

One governed event reality can support multiple legitimate legal
interpretations without allowing those interpretations to rewrite
the event itself. 50. Use Case 1 — Global Cloud and AI Service
Event

A corporate customer initiates a complex AI service from
Switzerland.

The service is orchestrated through a European cloud region.

Model inference is executed through several computational
environments.

A specialist external API processes part of the workload in
another region.

Data is retrieved from distributed infrastructure.

An autonomous agent coordinates the workflow.

The final digital output is delivered to a business system
operating from Switzerland.

ELPM may identify relevant physical components.

ELDM establishes materially relevant digital environments.

ELDSM determines that the event possesses a legitimate
distributed digital structure.

ELCM correlates these spatial components with the governed Event
Timing.

It does not force the event into: customer location;
cloud-provider headquarters; one server location; billing
address; model-provider country; or one arbitrary country code.

The result is a Governed Temporally and Spatially Situated Event
preserving the actual operational geography.

Different jurisdictions may subsequently evaluate place of
supply, nexus, source, residence, or other tax rules
independently.

ELCM preserves one governed operational reality even where
several tax systems may later interpret that reality differently.
51. Use Case 2 — Autonomous Machine-to-Machine Economic Event

An autonomous industrial machine in Country A detects that a
component is required.

An AI agent operating through distributed infrastructure
identifies a supplier.

A machine in Country B manufactures the component.

Payment authorization occurs through infrastructure in Country C.

An autonomous logistics system transports the component.

Final installation occurs at an industrial site in Country A.

The event contains physical, digital, machine, autonomous,
distributed, and changing spatial components.

Selecting the buyer machine, seller machine, payment
infrastructure, AI execution environment, logistics location, or
corporate headquarters as the sole Event Location would
materially distort the event.

ELCM correlates the legitimate spatial components and their
temporal associations into one governed representation.

The resulting event can subsequently be evaluated by the relevant
jurisdiction-specific tax systems.

ELCM itself does not decide: which jurisdiction taxes the event;
whether a permanent establishment exists; where legal place of
supply lies; which participant is a taxpayer; how tax base is
allocated; or whether tax is legally due.

The machine economy may be spatially distributed while the
governed event remains methodologically coherent. 52. Canonical
Boundary

ELCM owns the final correlation of governed Event Location
information within TRELS, including physical-digital correlation,
distributed-location correlation, temporal-spatial correlation,
sequential and simultaneous location, dynamic location, location
roles, constitutive/supporting distinctions, location hierarchy,
equivalence, divergence, conflict, uncertainty, precision,
confidence, evidence correlation, correction, continuity, final
Event Location representation, and construction of the Governed
Temporally and Spatially Situated Event.

ELCM does not own Event Location Signal Identification, which
belongs to ELIM.

It does not own Physical Event Location, which belongs to ELPM.

It does not own Digital Event Location, which belongs to ELDM.

It does not own Distributed Event Location, which belongs to
ELDSM.

It does not own Event Timing, which belongs to TRETS.

It does not own Event Participation, which belongs to TREPS.

It does not own origin-bound identity, which belongs to
OBIDENITY®.

It does not own Value Lifecycle governance, which belongs to
VFM®.

It does not own semantic Event Relationships, which belong to
TRERLS.

It does not own Tax-Relevant Event Determination, which belongs
to TREDS.

It does not determine Tax Jurisdiction, tax nexus, permanent
establishment, significant economic presence, tax residence,
source jurisdiction, place of supply, legal situs, customs
origin, taxable presence, taxing rights, profit allocation,
revenue allocation, tax-base allocation, transfer-pricing
treatment, Legal Tax Point, Tax Period, taxability, Tax
Liability, tax rate, reporting obligation, or any
jurisdiction-specific tax consequence.

The complete TRELS internal handoff is:

ELIM — Governed Event Location Signal Set

↓

ELPM — Governed Event
Physical Location

↓

ELDM — Governed Event Digital Location

↓

ELDSM — Governed Event Distributed Location

↓

ELCM — Governed
Event Location Correlation

↓

Governed Temporally and Spatially
Situated Event

↓

TREPS — Tax-Relevant Event Participation
Standard

Canonical Closing Statement

ELCM completes the spatial governance of the Tax-Relevant Event
by correlating its legitimate physical, digital, distributed,
dynamic, and temporally associated locations into one coherent
representation without erasing the complexity of operational
reality.

A governed event does not require one location. It requires a
spatial representation that truthfully reflects where the event
occurred.

ELCM determines how the locations of the event fit together — not
which jurisdiction acquires the legal right to tax it.

TRELS governs where the event occurred as governed operational
reality — not where tax law decides that the event is taxable.

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