The Event Distributed Location Module (ELDSM)
governs how a Tax-Relevant
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: ELDSM — Event Distributed Location Module
Operational Layer: Event Distributed Location Governance Layer
Category: Governance & Enforcement
Subcategory: Tax-Relevant Event Governance
Type: Core Module
Governed Space: Event Distributed Location
Origin ID: TREGA-TRELS-ELDSM-004
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 Distributed Location Module (ELDSM) governs how aTax-Relevant Event is spatially represented when its materially
constitutive activity occurs across multiple physical, digital,
hybrid, machine, autonomous, or infrastructural locations and
cannot legitimately be reduced to one operational location
without distorting the reality of the event.
ELDSM operates on the Governed Event Physical Location
established by ELPM and the Governed Event Digital Location
established by ELDM.
Its canonical task is:
to establish a coherent, traceable, and operationally justified
Governed Event Distributed Location where multiple locations
materially constitute the same governed event, without forcing
that event into an artificial single-location representation or
converting distributed operational reality into
jurisdiction-specific tax allocation.
The principal transition is:
Governed Event Physical Location +
Governed Event Digital Location
↓
Governed Event Distributed Location
ELDSM governs spatial distribution of the event.
It does not determine how taxation rights, tax bases, revenues,
profits, obligations, or liabilities are allocated among
jurisdictions.
Operational Role
Modern economic activity increasingly occurs across distributedoperational environments.
A single governed event may involve: physical activity in several
places; digital execution across several cloud regions; edge and
central infrastructure; machines operating at different sites;
autonomous agents invoking services across multiple systems;
platform activity spanning several operational environments;
distributed ledger infrastructure; cross-border logistics; remote
control and physical execution; or simultaneous physical and
digital activity.
Traditional systems often attempt to reduce such events to one
location.
They may select: customer country; seller country; server
country; billing address; headquarters; IP location;
transaction-processing location; device location; or another
convenient geographic proxy.
Such reduction may simplify downstream processing while
materially misrepresenting the event.
ELDSM exists to prevent that distortion.
Where the event is genuinely distributed, its governed location
may also be distributed.
Distributed Operational Reality ≠ Governance Failure.
A legitimate governance result does not require artificial
spatial simplicity.
Internal Flow
Within TRELS, ELDSM occupies the fourth 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 relevant event locations correlated
into a governed spatial representation?
↓
Governed Temporally and
Spatially Situated Event
ELDSM receives:
Governed Event Physical Location +
Governed Event Digital Location
and produces:Governed Event Distributed Location
for final location correlation by ELCM.Operational Space
ELDSM governs distributed spatial representation of Tax-RelevantEvents.
Its operational space includes: multi-location events;
cross-border operational events; distributed physical events;
distributed digital events; hybrid physical-digital events;
multi-site operations; multi-region digital execution; edge-cloud
distribution; machine-to-machine distribution; autonomous-system
distribution; AI-agent distributed execution; distributed
infrastructure; distributed platform operations; multi-node
events; distributed transaction execution; distributed service
delivery; distributed production; distributed logistics;
distributed financial operations; location transitions;
simultaneous multi-location activity; sequential multi-location
activity; location contribution; location dependency;
distributed-location continuity; distributed-location precision;
distributed-location uncertainty; distributed-location conflict;
and distributed-location traceability.
Operational Scope
ELDSM shall support distributed-location governance for:international commerce; digital marketplaces; cloud computing;
distributed applications; AI services; AI agents; autonomous
systems; machine economies; robotics; industrial automation; IoT
networks; telecommunications; banking; financial infrastructure;
payment networks; logistics; manufacturing; supply chains;
digital assets; distributed ledgers; remote services;
cross-border professional services; platform economies;
infrastructure operations; and future decentralized or
machine-mediated economic systems.
1. Distributed Location Candidate Identification
ELDSM shall identify whether the governed physical and digital
locations indicate that materially constitutive parts of the same
event occur across more than one location.
A Distributed Location Candidate exists where multiple locations
may legitimately belong to the same governed event.
However:
Multiple Location Signals ≠ Distributed Event by Default.
The locations must materially relate to the bounded event itself.
2. Constitutive Location Assessment
ELDSM shall distinguish locations constituting the event from
locations that merely support, observe, record, route, finance,
administer, or provide infrastructure to it.
A location may be relevant without being constitutive.
Therefore:
Relevant Location ≠ Constitutive Event Location by Default.
Only locations with a materially justified operational
relationship to the event shall form the Governed Event
Distributed Location. 3. Distributed Event Determination
ELDSM shall determine whether the event is legitimately
represented as distributed.
A distributed representation is appropriate where: no single
location sufficiently represents the event; multiple locations
contain constitutive activity; the event exists through
coordinated activity across locations; physical and digital
components materially interact across locations; execution
migrates between locations; or simultaneous distributed execution
forms part of the event.
Multiple Locations ≠ Multiple Events by Default.
The Event Boundary remains governed by TREBS.
ELDSM shall not fragment one bounded event merely because its
spatial reality is complex. 4. Physical Distribution
An event may contain constitutive physical activity across
multiple locations.
Examples include: goods moving through multiple operational
stages; coordinated manufacturing across facilities;
infrastructure operations across sites; distributed energy
systems; multi-site industrial processes; logistics networks; or
machines performing coordinated operations in different
locations.
ELDSM shall preserve those locations where they materially form
part of the same event.
Multiple Physical Locations ≠ Multiple Events by Default. 5.
Digital Distribution
Digital events may execute across multiple computational
environments.
Relevant locations may include: cloud regions; edge nodes;
execution clusters; platform environments; API services;
autonomous-agent environments; distributed databases; or
networked machine systems.
Where these environments materially constitute the event:
Distributed Digital Execution ≠ Single Digital Location by
Default.
ELDSM shall preserve the distributed structure rather than
selecting one infrastructure component as the authoritative
location. 6. Hybrid Physical-Digital Distribution
Many modern events combine physical and digital activity.
For example:
Physical Machine
↓
Edge Controller
↓
Cloud AI Service
↓
External
API
↓
Machine Execution
The event may therefore possess both physical and digital spatial
dimensions.
ELDSM shall permit a hybrid distributed representation.
Physical Location + Digital Location ≠ Requirement to Select One
Dominant Location.
Both may legitimately belong to the governed event. 7.
Simultaneous Distribution
Constitutive activity may occur in several locations at the same
time.
ELDSM shall support simultaneous multi-location representation.
Examples include: distributed computing; synchronized industrial
systems; multi-node autonomous operations; replicated digital
execution; coordinated machine networks; or concurrent platform
processes.
Simultaneous Multi-Location Activity ≠ Spatial Conflict.
Several locations can legitimately describe one event
simultaneously. 8. Sequential Distribution
An event may move through locations over time.
For example:
Location A
↓
Location B
↓
Location C
ELDSM shall preserve this spatial progression where all stages
remain within the same governed Event Boundary.
Location Transition ≠ New Event by Default.
TRETS governs the temporal structure.
ELDSM governs the spatial progression. 9.
Dynamic Location
Some events possess locations that change dynamically.Examples include: mobile machines; vehicles; aircraft; vessels;
mobile devices; migrating cloud workloads; autonomous robots;
mobile edge systems; or dynamic digital services.
ELDSM shall support dynamic location without requiring every
location change to create a new event.
Changing Location ≠ Changing Event Identity by Default. 10.
Location Contribution
Not every constitutive location contributes equally to the event.
ELDSM may represent the operational contribution of locations
where supported by evidence.
Possible states may include: primary constitutive; secondary
constitutive; supporting constitutive; transitional;
simultaneous; sequential; conditional; or indeterminate.
However:
Operational Location Contribution ≠ Tax Allocation Weight.
A location's operational significance shall not automatically
become a percentage of taxation rights, profit allocation, or tax
base. 11. Primary Location
Some distributed events may possess an operationally dominant
location.
ELDSM may identify such a location where evidence supports it.
However:
Primary Operational Location ≠ Exclusive Event Location.
Primary Operational Location ≠ Primary Tax Jurisdiction.
Dominance shall not erase other constitutive locations. 12. No
Primary Location
A distributed event may legitimately have no single primary
location.
This is a valid governance outcome.
No Single Primary Location ≠ Unresolved Event Location.
Where operational reality is genuinely distributed, the correct
representation may be:
Governed Distributed Location — No Single
Dominant Location
rather than an artificial geographic assignment. 13. DistributedCloud Execution
Cloud services may distribute event execution dynamically across
multiple regions.
ELDSM shall distinguish: deliberate multi-region execution;
dynamic workload migration; redundancy; replication; failover;
storage distribution; and constitutive processing.
Only materially constitutive locations shall form the distributed
event representation.
Cloud Replication ≠ Distributed Event Execution by Default.
Redundant Infrastructure ≠ Constitutive Event Location by
Default. 14. Edge-Cloud Distribution
An event may begin at an edge device, undergo local processing,
invoke cloud services, and return a result to physical
infrastructure.
ELDSM shall preserve this structure where the components form one
bounded event.
Edge Location ≠ Complete Event Location.
Cloud Location ≠ Complete Event Location.
The legitimate governed representation may be their operationally
justified combination. 15. AI Agent Distributed Location
AI agents may operate through: orchestration environments; model
providers; external tools; APIs; databases; payment systems;
digital platforms; physical machines; and other agents.
The agent's activity may therefore have no stable single digital
location.
ELDSM shall govern the distributed operational environments
materially constituting the event.
AI Agent Distributed Execution ≠ Agent Legal Residence.
AI Agent Execution Geography ≠ Owner Tax Residence.
AI Agent Infrastructure Distribution ≠ Tax Jurisdiction
Allocation. 16. Autonomous-System Distribution
Autonomous systems may coordinate decisions and actions across
multiple physical and digital locations without contemporaneous
human control.
ELDSM shall preserve this spatial reality independently from the
location of: system owner; operator; developer; supervising
organization; manufacturer; or human beneficiary.
Autonomous Event Location ≠ Human Controller Location by Default.
17. Machine-to-Machine Distribution
Machine-to-machine events may involve machines physically located
in different places while their communications and decision
processes operate through distributed digital infrastructure.
ELDSM shall support representation such as:
Machine A Physical Location + Machine B Physical Location + Edge
Environment + Cloud Execution Environment
↓
Governed Event
Distributed Location
without prematurely assigning the event to one jurisdiction. 18.
Platform Distribution
Platforms may coordinate events across: buyers; sellers; service
providers; infrastructure; payment systems; logistics providers;
and digital services.
ELDSM shall govern only locations materially constituting the
bounded event.
Platform Global Presence ≠ Event Distributed Location by Default.
A platform's worldwide infrastructure shall not automatically
become the spatial footprint of every event processed through it.
19. Distributed Ledger Environments
Events involving distributed ledgers may be technically
replicated across many nodes.
Node distribution alone shall not establish the distributed
location of the event.
Ledger Node Distribution ≠ Event Location Distribution by
Default.
ELDSM shall determine whether specific distributed components
materially constitute the governed event rather than merely
maintaining replicated infrastructure. 20. Network Distribution
Network traffic may traverse numerous jurisdictions.
Transit does not automatically constitute event distribution.
Network Path ≠ Distributed Event Location by Default.
Routing infrastructure shall be included only where its
operational role materially forms part of the event. 21. Data
Distribution
Event-related data may be stored or replicated globally.
Such distribution shall not automatically create distributed
Event Location.
Distributed Data Storage ≠ Distributed Event Location by Default.
Storage becomes spatially constitutive only where its role forms
part of the governed event itself. 22. Distributed Service
Delivery
Services may be delivered through multiple locations.
For example, a digital service may involve: customer interaction
in one place; computational execution elsewhere; specialized
processing elsewhere; and physical fulfillment elsewhere.
ELDSM shall preserve materially constitutive locations without
forcing them into one geographic point.
Distributed Service Delivery ≠ Single Place of Supply by Default.
Legal place-of-supply determination remains outside TREGA™. 23.
Distributed Production
Production may occur across several facilities or machine
environments while remaining part of one governed event.
ELDSM shall preserve the spatial structure established by
operational evidence.
It shall not infer: origin law; customs origin; tax situs;
permanent establishment; transfer-pricing allocation; or taxation
rights.
Operational Production Location ≠ Legal Origin Determination. 24.
Distributed Logistics
Logistics events may involve movement through many locations.
ELDSM shall distinguish spatial progression belonging to one
event from separate events formed under TREFS and bounded under
TREBS.
Route Complexity ≠ Event Multiplicity by Default.
A multi-location journey can remain one governed event where its
Event Boundary supports that representation. 25. Cross-Border
Distribution
A Tax-Relevant Event may operationally cross national borders.
ELDSM shall record such distribution where materially relevant.
However:
Cross-Border Event ≠ Multi-Jurisdiction Tax Liability by Default.
Operational border crossing may become an input to
jurisdiction-specific tax or customs analysis.
It is not itself a legal conclusion. 26.
Distribution and Event Boundary
ELDSM shall not redefine the Event Boundary merely because theevent spans multiple locations.
TREBS remains authoritative for Event Boundary.
Spatial Distribution ≠ Boundary Expansion by Default.
A location belongs to the distributed representation only where
the activity at that location is already legitimately associated
with the bounded event. 27. Distribution and Event Timing
Distributed locations may correspond to different points or
intervals in Event Timing.
ELDSM shall support temporal-spatial association such as:
T1
↓
Physical Location A
T2
↓
Digital Environment B
T3
↓
Physical Location C + Cloud Environment D
T4
↓
Distributed Execution E/F/G
TRETS owns Event Timing.
ELDSM owns distributed spatial representation. 28. Distribution
and Participation
Participants may operate from locations different from the
locations constituting the event.
Therefore:
Participant Distribution ≠ Event Location Distribution by
Default.
TREPS governs Event Participation.
ELDSM shall not infer taxpayer status, participant legal
residence, identity, authority, or responsibility from spatial
distribution. 29. Distribution and Value
Value may originate, move, change state, develop, degrade, or be
recognized across different locations.
VFM® governs the Value Lifecycle.
ELDSM may associate governed spatial information with an event
involving value.
It shall not determine value ownership or value lifecycle state.
Distributed Value Activity ≠ Distributed Event Location by
Default. 30. Distribution and Event Relationships
Multiple events may occur in different locations and remain
related.
Conversely, one event may occur across multiple locations.
These are distinct governance questions.
Multiple Locations Within One Event ≠ Multiple Related Events.
Multiple Related Events ≠ One Distributed Event.
TRERLS governs Event Relationships.
ELDSM governs spatial distribution within the bounded event. 31.
Distribution Precision
ELDSM shall represent distributed locations only at precision
supported by evidence and operational relevance.
Possible levels may include: exact point; facility; city; region;
country; cloud region; logical digital environment; multi-region
environment; network zone; distributed physical network;
distributed digital environment; or qualified unknown location.
More Location Data ≠ Greater Governance Precision by Default. 32.
Distribution Uncertainty
Some constitutive locations may be known while others remain
uncertain.
ELDSM shall permit partial spatial governance.
For example:
Location A — Established
Location B — Established
Location C — Regional Only
Digital Environment D — Distributed /
Exact Infrastructure Unknown
The event may still possess a legitimate Governed EventDistributed Location.
Partial Location Uncertainty ≠ Total Location Failure. 33.
Distribution Conflict
Conflicting evidence concerning one spatial component shall not
invalidate correctly established components.
ELDSM shall isolate the conflict.
One Conflicted Location ≠ Entire Distributed Location Invalid.
Likewise:
Multiple Different Locations ≠ Conflict by Default.
Different locations may all legitimately constitute the event.
34. Distribution Continuity
Distributed spatial representation shall preserve continuity as
locations enter, leave, migrate, fail, recover, or change during
the event.
A constitutive location may cease participation while the event
continues elsewhere.
Location Departure ≠ Event Completion.
Location Addition ≠ New Event by Default.
Infrastructure Failover ≠ Event Replacement by Default. 35.
Distributed Location Traceability
Every constitutive location shall remain traceable to: source
evidence; operational role; Event Boundary; relevant Event
Timing; location type; confidence; uncertainty; conflicts;
corrections; and governance decisions.
A downstream system shall be able to reconstruct why a location
was included in or excluded from the distributed representation.
36. Distributed Location Correction
Distributed Event Location may require correction when evidence
changes.
Corrections shall preserve governance history.
Location Correction ≠ Historical Erasure.
A corrected location record shall preserve the previous state,
reason for correction, supporting evidence, and resulting state
where required. 37. Distributed Location and Tax Jurisdiction
ELDSM shall maintain a strict separation between distributed
operational reality and legal jurisdiction allocation.
It shall not determine: Tax Jurisdiction; tax nexus; permanent
establishment; significant economic presence; place of supply;
source jurisdiction; residence; legal situs; customs origin;
taxable presence; taxing rights; tax-base allocation; profit
allocation; revenue allocation; transfer-pricing outcome; or
jurisdiction-specific tax liability.
Distributed Event Location ≠ Distributed Tax Liability.
Multiple Event Locations ≠ Multiple Tax Jurisdictions by Default.
Operational Location Contribution ≠ Taxing Rights Allocation.
Cross-Border Distribution ≠ Legal Nexus Determination.
Distributed Digital Infrastructure ≠ Permanent Establishment by
Default. 38. Jurisdiction-Neutral Representation
ELDSM shall preserve the event independently from the legal rules
of any single jurisdiction.
The canonical logic is:
One Distributed Operational Event
↓
One Governed Distributed
Event Representation
↓
Multiple Possible Jurisdictional
Evaluations
Jurisdiction A may legally interpret the event differently from
Jurisdiction B.
Jurisdiction C may apply another nexus, source, place-of-supply,
residence, or allocation rule.
TREGA™ shall not alter the underlying governed event to satisfy
any one of them. 39. Governance States
ELDSM may assign states including:
Distribution Ready Sufficient physical and digital location
inputs exist.
Distribution Under Governance Potential constitutive locations
are being assessed.
Distribution Not Required A distributed representation is not
operationally justified.
Distribution Established Multiple constitutive locations are
sufficiently governed.
Distribution Sequential The event progresses through multiple
locations.
Distribution Simultaneous Constitutive activity occurs in
multiple locations concurrently.
Distribution Hybrid Physical and digital locations jointly
constitute the event.
Distribution Dynamic Constitutive locations materially change
during the event.
Distribution Partial Some spatial components are established
while others remain unresolved.
Distribution Qualified The representation is subject to explicit
qualifications.
Distribution Conflicted Material evidence concerning one or more
spatial components conflicts.
Distribution Unresolved Available evidence cannot support a
legitimate distributed representation. 40. Governance
Requirements
ELDSM implementations shall: consume Governed Event Physical
Location from ELPM; consume Governed Event Digital Location from
ELDM; determine whether distributed spatial representation is
operationally justified; distinguish multiple location signals
from genuine event distribution; identify constitutive locations;
distinguish constitutive from supporting locations; support
physical distribution; support digital distribution; support
hybrid physical-digital distribution; support simultaneous
distribution; support sequential distribution; support dynamic
location; support AI-agent, autonomous-system, and
machine-to-machine distribution; preserve Event Boundary;
preserve temporal-spatial association; preserve supported
precision; preserve uncertainty; isolate location conflicts;
preserve continuity; preserve corrections; maintain traceability;
prevent artificial single-location reduction; prevent operational
distribution from becoming legal jurisdiction allocation; and
produce a Governed Event Distributed Location suitable for ELCM.
41. Governance Logic
ELDSM follows the canonical logic:
Governed Physical Location + Governed Digital Location
↓
identify
potential spatial distribution
↓
determine which locations
materially constitute the same bounded event
↓
classify physical,
digital, hybrid, simultaneous, sequential, and dynamic
distribution
↓
preserve temporal association, precision,
uncertainty, conflict, continuity, and traceability
↓
establish
Governed Event Distributed Location.
Where one location legitimately represents the event, ELDSM shall
not manufacture complexity.
Where several locations legitimately constitute the event, ELDSM
shall not manufacture simplicity. 42. Minimum Implementation
Framework
A minimum ELDSM implementation should support:
Governed Event Reference Reference to the bounded event.
Distributed Location Identifier Unique identifier for the
governed distributed-location structure.
Constitutive Location References Locations forming the
distributed event representation.
Location Type Physical, digital, or hybrid.
Distribution Type Sequential, simultaneous, dynamic, hybrid, or
other legitimate form.
Operational Role Role of each location in the event.
Contribution State Operational significance where legitimately
established.
Temporal Association Relevant governed Event Timing for each
spatial component.
Primary Location State Primary, non-primary, no-primary, or
unresolved.
Distribution Precision Supported spatial precision.
Distribution Uncertainty Known uncertainty.
Distribution Conflict Known evidence conflict.
Evidence References Evidence supporting inclusion or exclusion.
Continuity State Location continuity through the event.
Correction History Material spatial corrections.
Traceability Reference Governance history.
Governance State Current ELDSM state.
Handoff State Readiness for Event Location
Correlation. 43. Governance Outputs
ELDSM may produce: Distributed Location Candidate Register;Constitutive Location Register; Physical Distribution Record;
Digital Distribution Record; Hybrid Distribution Record;
Sequential Location Record; Simultaneous Location Record; Dynamic
Location Record; Location Contribution Record; Primary Location
Assessment; No-Primary-Location Determination; Temporal-Spatial
Association Record; Distribution Precision Record; Distribution
Uncertainty Record; Distribution Conflict Record; Distribution
Continuity Record; Distribution Correction Record; Distribution
Traceability Record; and the principal output:
Governed Event Distributed Location
This output becomes an input to ELCM. 44.
Critical Distinctions
Multiple Location Signals ≠ Distributed
Event
Relevant Location ≠ Constitutive Event
Location
Multiple Locations ≠ Multiple Events
Multiple Physical Locations ≠ Multiple
Events
Distributed Digital Execution ≠ Single
Digital Location
Physical Location + Digital Location ≠
Requirement to Select One Dominant
Location
Simultaneous Multi-Location Activity ≠
Spatial Conflict
Location Transition ≠ New Event
Changing Location ≠ Changing Event
Identity
Operational Location Contribution ≠ Tax
Allocation Weight
Primary Operational Location ≠ Exclusive
Event Location
Primary Operational Location ≠ Primary Tax
Jurisdiction
No Single Primary Location ≠ Unresolved
Event Location
Cloud Replication ≠ Distributed Event
Execution
Redundant Infrastructure ≠ Constitutive
Event Location
Edge Location ≠ Complete Event Location
Cloud Location ≠ Complete Event Location
AI Agent Distributed Execution ≠ Agent
Legal Residence
AI Agent Execution Geography ≠ Owner Tax
Residence
Autonomous Event Location ≠ Human
Controller Location
Platform Global Presence ≠ Event
Distributed Location
Ledger Node Distribution ≠ Event Location
Distribution
Network Path ≠ Distributed Event Location
Distributed Data Storage ≠ Distributed
Event Location
Distributed Service Delivery ≠ Single
Place of Supply
Operational Production Location ≠ Legal
Origin Determination
Route Complexity ≠ Event Multiplicity
Cross-Border Event ≠ Multi-Jurisdiction
Tax Liability
Spatial Distribution ≠ Boundary Expansion
Participant Distribution ≠ Event Location
Distribution
Multiple Locations Within One Event ≠
Multiple Related Events
Multiple Related Events ≠ One Distributed
Event
Partial Location Uncertainty ≠ Total
Location Failure
One Conflicted Location ≠ Entire
Distributed Location Invalid
Location Correction ≠ Historical Erasure
Distributed Event Location ≠ Distributed
Tax Liability
Multiple Event Locations ≠ Multiple Tax
Jurisdictions
Operational Location Contribution ≠ Taxing
Rights Allocation
Cross-Border Distribution ≠ Legal Nexus
Determination
Distributed Digital Infrastructure ≠ Permanent Establishment 45.Enterprise Application
ELDSM can operate as the distributed spatial-governance layer
between modern operational systems and downstream
jurisdiction-specific taxation infrastructure.
A generalized implementation pattern is:
Physical Operations + Digital Platforms + Cloud Infrastructure +
Edge Systems + AI Agents + Autonomous Machines
↓
ELIM
↓
ELPM
↓
ELDM
↓
ELDSM
↓
Governed Event Distributed Location
↓
ELCM
↓
Governed Temporally and Spatially Situated Event
↓
Jurisdiction-Specific Tax Engines
This allows the same governed event to remain operationally
coherent even when several jurisdictions later evaluate it
differently. 46. Use Case 1 — Autonomous Cross-Border
Manufacturing Network
A multinational industrial network uses autonomous production
systems across several facilities.
A machine in one country identifies a production requirement.
An AI orchestration service running through distributed cloud
infrastructure generates a production plan.
A specialized component is manufactured at a second facility.
An autonomous logistics system transfers the component to a third
facility.
Final machine processing occurs there.
Digital coordination continues across edge systems, cloud
services, APIs, and machine controllers throughout the process.
If TREBS establishes that the relevant activity forms one bounded
Tax-Relevant Event, ELDSM does not force that event into the
country containing the first machine, the AI server, corporate
headquarters, or final facility.
It governs the materially constitutive spatial structure of the
event.
The output may legitimately contain multiple physical and digital
locations.
It does not decide which country possesses taxation rights.
The event may be operationally distributed before any
jurisdiction decides how that distribution matters under law. 47.
Use Case 2 — Autonomous Global Digital Service
An AI agent autonomously acquires and coordinates a digital
service.
The agent executes through one cloud environment.
Model inference occurs through an external provider in another
region.
Data processing occurs across several regions.
A specialized API is invoked through another provider.
Payment infrastructure operates elsewhere.
The service is delivered to a machine-controlled system in
another country.
No single technical location adequately represents the event.
Selecting the server location, customer device, corporate
headquarters, billing country, or one cloud region would erase
material parts of the operational reality.
ELDSM establishes a Governed Event Distributed Location
containing only those physical and digital environments that
materially constitute the event.
Downstream jurisdictions may then independently apply their own
nexus, place-of-supply, source, residence, or other tax rules.
Distributed digital reality is governed once; legal
jurisdictional interpretation may occur many times. 48. Canonical
Boundary
ELDSM owns the governance of distributed spatial representation
within the bounded Tax-Relevant Event, including physical
distribution, digital distribution, hybrid distribution,
simultaneous distribution, sequential distribution, dynamic
location, constitutive-location assessment, operational location
contribution, primary/no-primary location states,
temporal-spatial association, distributed-location precision,
uncertainty, conflict, continuity, correction, and traceability.
ELDSM 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 final Event Location Correlation, which belongs
to ELCM.
It does not redefine Event Context, Event Recognition, Event
Formation, Event Boundary, Event Timing, Event Participation,
Participant Identity, Value Association, Event Relationships,
Event Determination, or Event Record Governance.
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, tax-base allocation,
revenue allocation, profit allocation, transfer-pricing outcome,
Legal Tax Point, Tax Period, taxability, Tax Liability, tax rate,
reporting obligation, or any jurisdiction-specific tax
consequence.
The canonical handoff is:
ELIM — Governed Event Location Signal Set
↓
ELPM — Governed Event
Physical Location
↓
ELDM — Governed Event Digital Location
↓
ELDSM — Governed Event Distributed Location
↓
ELCM — Event
Location Correlation
Canonical Closing Statement
ELDSM preserves the spatial reality of events that genuinelyexist across multiple physical, digital, machine, autonomous, or
infrastructural locations without forcing operational complexity
into an artificial single-location model.
A distributed event does not become geographically simple merely
because a downstream system requires one country field.
ELDSM governs where the event is distributed — not how taxation
rights are distributed among jurisdictions.
TREGA™ governs the event. The jurisdiction governs the tax.