OOF™ Origin Open Foundation™

Independent Methodological Authority

Architecture Ecosystem: Structured Reality Standards™
Architecture Family: SIMULOS® — Simulation Governance Architecture
Parent Standard: Reality Representation Standard (RRS)
Operational Layer: Simulation Reality Representation Layer
Category: Governance & Enforcement
Subcategory: Simulation Governance
Type: Parent Standard Module
Governed Space: Representation Fidelity
Version: 1.0
Status: Canonical · Open Module
Effective Date: 16 August 2026
Compatibility: OOF® Methodology OS™ · GOA™ · ORA™ · VALIDOS® · INTEGROS® · ADIT® · AGA™ ·
AIG® · CLIA® · MGIA™ · ASGA™ · RIS™
AI-Readable: Yes
Authority: OOF®
Protection: MIP® — Methodological Intellectual Property
Canonical Language: English (UCL™)

Governed Space

Representation Fidelity

Canonical Definition

Representation Fidelity Module (RFM) defines the governance conditions under
which the representation of selected and abstracted reality is required,
assessed, bounded, and documented at a level of fidelity sufficient for the
governed Simulation Purpose, Scope, scenarios, operating conditions, and
intended interpretation.

RFM establishes whether the simulation representation preserves the material
characteristics, behaviors, relationships, dependencies, states, and dynamics
of Relevant Reality with sufficient faithfulness for the simulation inquiry
without requiring unnecessary or unjustified replication of reality.

Operational Role

The preceding modules establish:

RSM — What parts of reality must the simulation represent?

RAM — How may the complexity of that selected reality legitimately be reduced?

RFM asks:

How faithfully must the resulting representation reproduce the material
characteristics of the reality it claims to represent?

The governed progression is:

Reality Selection → Reality Abstraction → Fidelity Requirement → Fidelity
Assessment → Fidelity Gap → Fidelity Limitation → Representation Fidelity
Status → Representation Resolution

RFM does not determine whether reality was correctly selected.

It does not govern the abstraction decision itself.

It does not determine the exact representational granularity.

It governs whether the resulting representation is sufficiently faithful to
the material reality required by the simulation inquiry.

Module Operational Space

RFM governs: fidelity objectives, fidelity requirements, fidelity dimensions,
fidelity baselines, fidelity thresholds, physical fidelity, behavioral
fidelity, structural fidelity, functional fidelity, environmental fidelity,
temporal fidelity, spatial fidelity, interaction fidelity, dependency
fidelity, state fidelity, process fidelity, failure fidelity, distributional
fidelity, variability fidelity, boundary-condition fidelity, cross-component
fidelity, scenario-relative fidelity, fidelity assessment, fidelity evidence,
fidelity gaps, fidelity trade-offs, fidelity uncertainty, fidelity
sensitivity, fidelity limitations, conditional fidelity, fidelity status,
fidelity change, and fidelity traceability.

Module Function

A simulation can contain all relevant Reality Elements and still represent
them incorrectly.

A simulation may include: the correct actor, the correct environment, the
correct process, the correct dependency, and the correct interaction

while reproducing their behavior with insufficient fidelity.

RFM exists to prevent: presence being mistaken for faithful representation,
visual realism being mistaken for operational fidelity, high detail being
mistaken for sufficient fidelity, one fidelity dimension compensating
invisibly for another, nominal behavior masking poor failure fidelity,
environmental fidelity being ignored, interaction fidelity being inferred from
component fidelity, fidelity requirements being selected after simulation
results are known, fidelity claims exceeding the represented conditions, and
simulation outputs being interpreted beyond the fidelity supported by the
representation.

Fidelity Principle

SIMULOS® establishes:

Representation fidelity is sufficient only when the characteristics material
to the simulation inquiry are represented faithfully enough that their
remaining representation error does not invalidate the intended simulation
interpretation.

Fidelity therefore does not mean:

maximum similarity to reality.

It means:

sufficient similarity in the dimensions that materially matter.

Fidelity Is Purpose-Relative

There is no universal fidelity level that is correct for every simulation.

The required fidelity depends upon:

Simulation Object + Simulation Purpose + Simulation Scope + Relevant Reality +
Scenarios + Intended Interpretation

A representation sufficient for:

concept exploration

may be insufficient for:

safety-critical operational decision support.

A representation sufficient for:

aggregate traffic analysis

may be insufficient for:

autonomous collision-avoidance testing.

Fidelity Object

A Fidelity Object is the represented Reality Element, characteristic,
behavior, relationship, process, state, environment, or interaction whose
faithfulness to Relevant Reality requires governance.

A Fidelity Object may therefore be: an individual simulated entity, a
subsystem, a behavioral process, an environmental condition, an interaction, a
dependency, a failure mechanism, a population, or the combined simulation
representation.

Fidelity Requirement

A Fidelity Requirement establishes how faithfully a material characteristic
must be represented for the simulation inquiry.

A Fidelity Requirement should derive from:

Simulation Purpose & Scope

↓

Reality Selection

↓

Material Characteristic

↓

Approved Abstraction

↓

Required Fidelity

The requirement should not be created merely because a simulator happens to
support a particular level of realism.

Fidelity Dimensions

Fidelity should not automatically be treated as one global property.

A representation may have high fidelity in one dimension and low fidelity in
another.

RFM therefore permits fidelity to be governed across independent dimensions.

Physical Fidelity

Physical Fidelity concerns the degree to which relevant physical
characteristics and physical relationships are represented consistently with
Relevant Reality.

This may include: mass, force, acceleration, temperature, pressure, material
behavior, energy transfer, friction, aerodynamics, structural response, or
other physical properties.

Behavioral Fidelity

Behavioral Fidelity concerns whether simulated actors or systems behave
sufficiently like their relevant real-world counterparts.

This may include: responses, decisions, transitions, adaptation, reaction
patterns, control behavior, human behavior, autonomous behavior, or
organizational behavior.

RFM governs representation fidelity.

It does not replace the governance of cognition, AI behavior, or autonomous
authority in their respective OOF® architectures.

Structural Fidelity

Structural Fidelity concerns whether materially relevant components and
relationships are represented with sufficient correspondence to the real
structure.

A structurally simplified model may remain legitimate where removed internal
structure cannot materially affect the simulation inquiry.

Functional Fidelity

Functional Fidelity concerns whether the simulated object performs the
materially relevant functions and produces the materially relevant responses
expected from the represented reality.

A simulation may therefore possess lower structural fidelity but sufficient
functional fidelity for a particular inquiry.

This distinction must remain explicit.

Environmental Fidelity

Environmental Fidelity concerns whether environmental conditions materially
affecting simulation behavior are sufficiently represented.

This may include: terrain, weather, lighting, temperature, infrastructure,
electromagnetic conditions, population density, traffic, resource
availability, or other environmental factors.

Temporal Fidelity

Temporal Fidelity concerns whether materially relevant timing characteristics
are sufficiently represented.

This may include: latency, duration, sequence, frequency, synchronization,
accumulation, degradation, feedback delay, recovery time, or response time.

Spatial Fidelity

Spatial Fidelity concerns whether materially relevant: positions, distances,
geometry, orientation, topology, movement, boundaries, and spatial
relationships

are represented sufficiently faithfully.

Interaction Fidelity

Individual components can possess high fidelity while their interaction is
represented poorly.

RFM therefore treats Interaction Fidelity as an independent governance
concern.

It may include fidelity of: communication, collision, coordination, coupling,
transfer, feedback, influence, negotiation, synchronization, or physical
interaction.

Dependency Fidelity

Dependency Fidelity concerns whether materially relevant dependencies behave
sufficiently like their real-world counterparts.

A dependency may exist in the model but still be represented incorrectly in:
strength, direction, timing, conditionality, failure behavior, or propagation.

State Fidelity

State Fidelity concerns whether material operational states and transitions
between them correspond sufficiently to Relevant Reality.

This becomes especially important where a system may operate in: normal,
degraded, emergency, recovery, failure, maintenance, or exceptional states.

Process Fidelity

Process Fidelity concerns whether relevant sequences, workflows,
transformations, or causal processes are represented with sufficient
faithfulness.

Failure Fidelity

Nominal fidelity does not establish failure fidelity.

A simulation may reproduce normal operation accurately while representing:
faults, degradation, cascading failure, abnormal response, emergency behavior,
or recovery

poorly.

Where failure behavior is material to Simulation Purpose, RFM requires it to
receive explicit fidelity treatment.

Distributional Fidelity

Where reality contains populations or stochastic behavior, fidelity may depend
upon whether the represented distribution sufficiently corresponds to reality.

The average alone may be insufficient.

Material characteristics may include: variance, tails, rare events,
multimodality, correlations, extreme behavior, and subgroup differences.

Variability Fidelity

Real systems may vary between: actors, units, environments, time periods,
operating conditions, or repeated events.

RFM governs whether this variability must be represented and whether its
simulated form is sufficiently faithful.

Boundary-Condition Fidelity

Simulation behavior may depend strongly upon boundary conditions.

RFM therefore governs whether relevant boundary conditions sufficiently
correspond to those represented by the simulation claim.

A model that performs well only within narrow boundary conditions should not
receive an unrestricted fidelity representation.

Cross-Component Fidelity

Fidelity must also be evaluated across interacting simulation components.

A high-fidelity vehicle model connected to a highly simplified road, weather,
sensor, or human-behavior model may produce a combined fidelity profile
materially weaker than the vehicle model alone suggests.

Fidelity Baseline

A Fidelity Baseline identifies the reference against which fidelity is
evaluated.

The baseline may derive from: measured reality, observed operational behavior,
empirical datasets, accepted physical relationships, controlled experiments,
authoritative technical data, domain models, or another sufficiently justified
reference.

RFM does not govern general evidence validation.

Where the baseline itself requires formal validation, VALIDOS® provides the
complementary validation governance architecture.

Fidelity Evidence

A fidelity claim should have a basis.

Possible Fidelity Evidence may include: measurement comparison, observed
behavior comparison, experimental comparison, known physical relationships,
historical operational data, cross-model comparison, controlled test results,
or expert technical assessment.

The strength of the fidelity claim should remain bounded by the strength of
the available basis.

Fidelity Threshold

A Fidelity Threshold defines the level of representational correspondence
required for a particular material characteristic or fidelity dimension.

SIMULOS® does not prescribe universal thresholds.

Thresholds should derive from the simulation inquiry and consequence of
representational error.

Fidelity Assessment

A Fidelity Assessment compares the represented characteristic against its
required Fidelity Requirement and applicable baseline.

The assessment asks:

Is the representation sufficiently faithful for the intended simulation
inquiry?

not:

Is the representation identical to reality?

Fidelity Gap

A Fidelity Gap exists where the simulation representation differs materially
from the required representation of Relevant Reality.

A gap may concern: magnitude, behavior, timing, structure, variability,
interaction, dependency, state transition, environmental response, or another
material characteristic.

Fidelity Gap Classification

A Fidelity Gap may be classified conceptually as:

Non-Material

Material but Acceptable

Conditional

Material and Unresolved

or:

Fidelity Undetermined

The classification must remain relative to the governed Simulation Purpose and
Scope.

Fidelity Limitation

A Fidelity Limitation identifies where insufficient or uncertain fidelity
restricts the legitimate interpretation or application of simulation outputs.

A limitation may restrict: scenarios, environments, populations, system
states, operating ranges, failure conditions, temporal periods, or output
interpretation.

Fidelity Trade-Off

Simulation design frequently involves trade-offs between fidelity and:
computational cost, execution time, data availability, model complexity,
interpretability, scenario scale, or repeatability.

RFM permits such trade-offs.

It does not permit them to become invisible.

Computational Constraint Rule

SIMULOS® establishes:

Computational capability may constrain achievable fidelity, but computational
limitation does not redefine the fidelity required by the simulation inquiry.

If the required fidelity cannot be achieved, the appropriate result may be:

Fidelity Limitation

rather than lowering the requirement until the simulation appears sufficient.
Visual Fidelity ≠ Operational Fidelity

A simulation may appear realistic while reproducing operational behavior
poorly.

Likewise, a visually simple simulation may reproduce the materially relevant
dynamics with high operational fidelity.

SIMULOS® therefore establishes:

Visual realism is not evidence of sufficient simulation fidelity. Detail ≠
Fidelity

Adding detail does not necessarily improve fidelity.

Incorrect detail can reduce representational accuracy.

RFM therefore separates:

Representation Detail

from:

Representation Fidelity.

Representation Resolution is governed separately by RRM.

Fidelity Uncertainty

A Fidelity Assessment may itself contain uncertainty.

This may result from: incomplete baseline data, measurement uncertainty,
changing reality, limited observations, stochastic behavior, conflicting
reference evidence, or insufficient coverage.

Material fidelity uncertainty should remain explicit.

Fidelity Sensitivity

RFM may assess whether simulation outcomes are sensitive to plausible changes
in fidelity.

The governing question is:

Would a plausible representation error materially alter the simulation outcome
or its interpretation?

Where yes, stronger fidelity governance may be required.

Scenario-Relative Fidelity

A representation may possess sufficient fidelity for one scenario and
insufficient fidelity for another.

Example:

A simplified tire model may be sufficient for:

normal-speed highway traffic analysis

but insufficient for:

emergency braking on ice.

Fidelity status should therefore remain bound to the scenarios it supports.

Conditional Fidelity

A representation may be classified as sufficiently faithful only under
explicit conditions.

Possible conditions include: operating range, environment, scenario class,
system configuration, population, temporal period, or simulation mode.

Representation Fidelity Status

RFM may establish a governed status such as:

Fidelity Sufficient

Fidelity Conditionally Sufficient

Fidelity Partially Sufficient

Fidelity Insufficient

or:

Fidelity Undetermined

The status should remain attached to the relevant Fidelity Object, dimension,
scope, and conditions.

No Global Fidelity Inflation

A high-fidelity result for one subsystem must not automatically become a
high-fidelity claim for the complete simulation.

Likewise:

High Physical Fidelity

does not automatically establish:

High Behavioral Fidelity

or:

High Environmental Fidelity.

Weakest Material Fidelity Principle

Where multiple fidelity dimensions materially affect the same simulation
claim:

The simulation claim cannot assume stronger representation fidelity than its
materially limiting fidelity dimension supports.

This does not require one global numerical fidelity score.

It requires material weaknesses to remain visible.

Fidelity Consistency

Fidelity assumptions and requirements across interacting simulation elements
should remain mutually coherent.

A high-fidelity subsystem should not depend upon a low-fidelity representation
that invalidates the inquiry without that dependency being visible.

Fidelity Change

Fidelity should be reassessed where material changes occur in: Simulation
Purpose, Simulation Scope, Reality Selection, abstraction, model structure,
environment, scenarios, data, operating conditions, simulation capabilities,
or Relevant Reality itself.

Fidelity Change Propagation

Material fidelity changes may affect:

Representation Resolution → Representation Limitations → Assumptions → Model &
Environment → Inputs & Data → Scenario Design → Execution → Output Governance
→ Reality Correlation

Fidelity therefore forms an upstream simulation-governance dependency.

Fidelity Traceability

A governed fidelity chain should support:

Simulation Purpose → Reality Selection → Material Characteristic → Abstraction
Decision → Fidelity Requirement → Fidelity Baseline → Fidelity Assessment →
Fidelity Gap → Fidelity Status → Limitation

This makes the fidelity basis reconstructable.

Relationship to Reality Selection

RSM establishes what reality must be represented.

RFM cannot compensate for an important Reality Element that was never
selected.

High fidelity of incomplete reality remains incomplete representation.

Relationship to Reality Abstraction

RAM establishes how selected reality may be simplified.

RFM evaluates whether the resulting abstraction still represents material
characteristics with sufficient faithfulness.

Thus:

RAM governs permitted complexity reduction.

RFM governs the faithfulness remaining after that reduction.

Relationship to Representation Resolution

Fidelity and resolution are related but distinct.

Fidelity asks:

How faithfully does the representation correspond to Relevant Reality?

Resolution asks:

At what granularity is that representation expressed?

A high-resolution representation can have low fidelity.

A lower-resolution representation may have sufficient fidelity for the
intended inquiry.

RRM governs the next space.

Relationship to Representation Limitation

RFM identifies limitations specifically arising from fidelity.

RLM subsequently governs the broader set of limitations affecting the complete
Reality Representation.

Relationship to Reality Correlation

RFM establishes representation fidelity requirements before and during
simulation design.

Later SIMULOS® Reality Correlation governance may compare simulation behavior
or outputs with observed reality.

These are adjacent but distinct spaces.

RFM asks:

Is the representation designed and demonstrated with sufficient faithfulness?

Reality Correlation asks:

How does simulation behavior or output correspond with observed reality?

Cross-Architecture Boundary

RFM does not govern actual Operational Reality.

That remains within ORA™.

RFM does not perform general validation governance.

That remains within VALIDOS®.

RFM does not govern general integrity.

That remains within INTEGROS®.

RFM governs specifically:

the sufficiency of correspondence between simulation representation and the
material characteristics of reality selected for simulation.

Minimum Implementation Framework

1. Identify Fidelity Objects

Determine which represented Reality Elements, characteristics, behaviors,
interactions, dependencies, and processes require fidelity governance. 2.
Establish Fidelity Requirements

Define the required correspondence for each material fidelity dimension. 3.
Establish Fidelity Baselines

Identify the governed references against which fidelity can be assessed. 4.
Assess Representation Fidelity

Compare the simulation representation with the applicable requirements and
baselines. 5. Identify Fidelity Gaps

Record material differences between required and achieved representation. 6.
Evaluate Fidelity Impact

Determine whether identified gaps could materially affect simulation behavior,
outputs, or interpretation. 7. Establish Fidelity Status

Classify fidelity as sufficient, conditional, partial, insufficient, or
undetermined within the applicable scope. 8. Establish Fidelity Limitations

Bind material limitations to affected scenarios, conditions, outputs, or
interpretations. 9. Assess Cross-Component Fidelity

Determine whether fidelity remains sufficient across interacting simulation
elements. 10. Preserve Fidelity Traceability and Reassessment

Maintain the complete fidelity chain and reassess it after material change.

Governance Outputs

RFM may produce: Fidelity Object Register, Fidelity Requirement, Fidelity
Dimension Map, Fidelity Baseline Record, Physical Fidelity Assessment,
Behavioral Fidelity Assessment, Structural Fidelity Assessment, Functional
Fidelity Assessment, Environmental Fidelity Assessment, Temporal Fidelity
Assessment, Spatial Fidelity Assessment, Interaction Fidelity Assessment,
Dependency Fidelity Assessment, State Fidelity Assessment, Process Fidelity
Assessment, Failure Fidelity Assessment, Distributional Fidelity Assessment,
Variability Fidelity Assessment, Boundary-Condition Fidelity Assessment,
Cross-Component Fidelity Assessment, Fidelity Evidence Record, Fidelity
Threshold Record, Fidelity Gap Record, Fidelity Gap Classification, Fidelity
Trade-Off Record, Fidelity Uncertainty Record, Fidelity Sensitivity
Assessment, Conditional Fidelity Record, Representation Fidelity Status,
Fidelity Limitation Record, Fidelity Change Record, Fidelity Traceability Map,
and Representation Fidelity Basis.

Use Case 1 — Autonomous Vehicle Simulation

Scenario

An autonomous-vehicle simulation represents: vehicle dynamics, sensors,
pedestrians, road infrastructure, traffic, and weather.

Application

RFM separately evaluates whether the simulation possesses sufficient: physical
fidelity for vehicle dynamics, behavioral fidelity for pedestrians,
environmental fidelity for weather, interaction fidelity between vehicle and
road users, and failure fidelity for degraded sensor conditions.

Result

The simulation may be classified:

Fidelity Sufficient — Normal Urban
Operation

while remaining:

Fidelity Insufficient — Severe Sensor
Degradation

The simulation cannot use its normal-operation fidelity to imply sufficient
representation of failure scenarios. Use Case 2 — Spacecraft Thermal
Simulation

Scenario

A spacecraft simulation is used to evaluate thermal behavior across orbital
conditions. Application

RFM compares represented: solar exposure, radiation, material thermal
behavior, internal heat generation, heat transfer, and environmental variation

against the fidelity required for the thermal inquiry. Result

The simulation may demonstrate sufficient thermal fidelity across normal
orbital conditions while identifying a fidelity limitation for an extreme
orientation not sufficiently represented by the model.

The limitation remains attached to subsequent simulation interpretation. Use
Case 3 — Industrial Digital Twin

Scenario

A digital twin represents a production facility.

Individual machines are modeled accurately, but interactions between
production stages are highly simplified. Application

RFM identifies:

High Component Fidelity

but:

Insufficient Interaction Fidelity

for analysis of cascading production disruption. Result

The digital twin remains suitable for individual-machine analysis but cannot
legitimately claim sufficient fidelity for plant-wide cascading-failure
simulation until the interaction representation is strengthened.

Architectural Position

Representation Fidelity is the third internal governance space of the Reality
Representation Standard (RRS).

The complete RRS progression is:

Reality Selection → Reality Abstraction → Representation Fidelity →
Representation Resolution → Representation Limitation

RSM establishes:

What parts of reality must be represented?

RAM establishes:

How may their complexity be reduced?

RFM establishes:

How faithfully must the resulting representation correspond to the material
characteristics of that reality?

RRM next establishes:

At what granularity must that representation operate?

This separation prevents selection, abstraction, fidelity, and resolution from
becoming one undefined concept of simulation “realism.” Foundational Principle

A simulation representation is sufficiently faithful only when the
characteristics that materially matter to the simulation inquiry remain
represented closely enough to reality that the remaining fidelity gap does not
invalidate the intended interpretation.

Canonical Closing Statement

Representation Fidelity Module establishes the governance conditions under
which selected and abstracted reality must remain sufficiently faithfully
represented for the governed Simulation Purpose and Scope. By separating
fidelity from visual realism, detail, resolution, and general validation, and
by governing physical, behavioral, structural, functional, environmental,
temporal, spatial, interaction, dependency, state, process, failure,
distributional, and variability fidelity, RFM ensures that simulation
representations cannot claim greater correspondence with reality than their
material fidelity dimensions, baselines, evidence, gaps, uncertainty,
conditions, and limitations can actually support.