Simulation Evidence & Reliance Boundary Standard -
(SERBS)
OOF™ Origin Open Foundation™
Independent Methodological Authority
Simulation Evidence & Reliance Boundary Standard (SERBS) is the Parent
Standard within SIMULOS® — Simulation Governance Architecture that governs
what simulation-derived information may legitimately become evidence, what
evidential meaning and weight that evidence may carry, how far reliance upon
it may extend, which uses must remain limited or prohibited, and how
simulation-derived evidence must interface with broader validation governance.
SERBS establishes the methodological boundary between simulation output,
simulation-derived evidence, and validation reliance.
It requires simulation evidence to remain connected to the Simulation Object,
simulation purpose and scope, represented reality, assumptions, model and
environment, input basis, scenario conditions, execution record, governed
outputs, and simulation-to-reality correlation from which its evidential
meaning originates.
SERBS does not determine whether an object, system, claim, process, or
operational proposition is validated. It governs the simulation-specific
evidential basis that may legitimately be transferred into broader validation
processes.
Standard within SIMULOS® — Simulation Governance Architecture that governs
what simulation-derived information may legitimately become evidence, what
evidential meaning and weight that evidence may carry, how far reliance upon
it may extend, which uses must remain limited or prohibited, and how
simulation-derived evidence must interface with broader validation governance.
SERBS establishes the methodological boundary between simulation output,
simulation-derived evidence, and validation reliance.
It requires simulation evidence to remain connected to the Simulation Object,
simulation purpose and scope, represented reality, assumptions, model and
environment, input basis, scenario conditions, execution record, governed
outputs, and simulation-to-reality correlation from which its evidential
meaning originates.
SERBS does not determine whether an object, system, claim, process, or
operational proposition is validated. It governs the simulation-specific
evidential basis that may legitimately be transferred into broader validation
processes.
Architectural Position
SERBS occupies the eleventh governed space of the SIMULOS® simulationgovernance lifecycle.
It follows:
Simulation-to-Reality Correlation Standard
(SRCS)
and precedes:Simulation Lifecycle & Resimulation Standard (SLRS).
The preceding standards establish:
what is simulated → why it is simulated → how reality is represented → what
assumptions are used → how the model and environment are constituted → what
inputs enter → what scenarios are tested → how execution occurs → what outputs
are produced → how those outputs correlate with reality.
SERBS then asks the next methodological question:
What may those governed simulation results legitimately support as evidence?
The purpose of SERBS is therefore not to produce additional simulation
results, but to establish the legitimate evidential meaning and reliance
boundary of results already produced and governed through the preceding
SIMULOS® lifecycle.
Governance Flow Position
Governed Simulation Outputs + Governed Simulation-to-Reality Correlation →Simulation Evidence Qualification → Simulation Evidence Weight → Simulation
Reliance Boundary → Simulation Use Limitation → Simulation Validation
Interface → Governed Simulation Evidence & Reliance Record → Simulation
Lifecycle & Resimulation
Where broader validation is required:
Governed Simulation Evidence & Reliance Record → VALIDOS® Validation
Governance
Operational Space
SERBS governs the operational space between simulation-derived information andlegitimate reliance upon that information.
Its governed space includes: simulation evidence identification; simulation
evidence qualification; evidence-purpose alignment; evidence provenance;
simulation-specific evidential weight; conditional evidential meaning;
evidence applicability; uncertainty affecting evidential meaning; aggregation
of evidence across runs or campaigns; reliance boundaries; unsupported
reliance; use limitations; prohibited interpretations; temporal applicability
of simulation evidence; evidence transfer into broader validation processes;
preservation of simulation-specific qualifications during downstream use.
SERBS transforms simulation-derived information from an unbounded analytical
product into an explicitly governed evidential basis.
Operational Scope
SERBS applies whenever simulation results are expected to support or influencea material claim, assessment, comparison, engineering judgment, scientific
conclusion, design decision, safety argument, mission decision, operational
decision, validation process, deployment decision, or other form of reliance.
It applies across: individual simulation runs; repeated simulations; scenario
portfolios; large-scale simulation campaigns; engineering simulations;
scientific simulations; physical simulations; digital simulations; hybrid
simulations; digital twins; infrastructure simulations; safety simulations;
mission simulations; economic simulations; AI simulations; autonomous-system
simulations; future simulation technologies.
SERBS remains technology-neutral.
Its concern is not how sophisticated the simulation technology is, but what
evidential meaning its results can legitimately support. Core Governance
Distinctions Simulation Output ≠ Simulation Evidence
A simulation output is information produced by simulation execution.
Simulation evidence is simulation-derived information that has been explicitly
qualified for a defined evidential purpose.
The existence of an output does not automatically create an evidential basis.
Simulation Evidence ≠ Validation Determination
Simulation evidence may contribute materially to validation.
It does not automatically establish validation.
A Validation Determination may require simulation evidence together with
empirical, operational, observational, experimental, documentary, or other
evidence governed through VALIDOS®. Evidence Availability ≠ Evidence
Sufficiency
Large quantities of simulation evidence do not necessarily create sufficient
evidence.
A million executions based upon the same inaccurate representation,
assumption, model limitation, or missing scenario may reproduce the same
weakness one million times. Evidence Weight ≠ Evidence Volume
The amount of simulation data is not equivalent to the strength of its
evidential meaning.
Evidence weight depends on the governed relationship between the evidence and
the proposition it is intended to support. Correlation ≠ Equivalence
Even strong simulation-to-reality correlation does not establish that the
simulation and reality are equivalent.
The evidential meaning of a simulation result remains bounded by the
conditions under which the correlation was established. Reliance ≠ Unlimited
Generalization
Evidence legitimately applicable to one scenario, configuration, operational
condition, time period, or purpose must not automatically be generalized to
another.
Simulation Evidence Qualification
Simulation-derived information may be treated as governed simulation evidenceonly where its evidential basis is sufficiently identifiable.
Qualification should establish, where materially relevant: the
simulation-derived information being relied upon; the evidential question or
proposition; originating Simulation Object; relevant Simulation Object version
and configuration; simulation purpose and scope; applicable exclusions;
reality representation; material assumptions; model and environment; input and
data basis; relevant scenario or scenario set; execution basis; output
identity and classification; inference basis; simulation-to-reality
correlation; material uncertainty; temporal applicability; known limitations.
Evidence qualification therefore creates an explicit relationship between:
Evidence → Simulation Basis → Evidential Meaning.
Simulation Evidence Weight
SERBS requires the evidential weight of simulation-derived evidence to remaindistinct from the mere existence of the evidence.
Evidence weight may be influenced by: strength of reality representation;
representational fidelity; model applicability; assumption dependence; input
representativeness; scenario relevance; scenario coverage; execution
consistency; repetition results; output classification; inference distance;
simulation-to-reality correlation; uncertainty; known limitations; temporal
relevance; dependence between evidence sources.
Evidence weight must not be inferred merely from: computational scale;
simulation sophistication; graphical realism; institutional prestige; number
of runs; number of generated outputs; apparent precision.
Precision of simulation output does not itself establish strength of
simulation evidence.
Simulation Evidence Aggregation
SERBS recognizes that simulation campaigns may create evidence acrossthousands, millions, or more individual executions.
Evidence aggregation must therefore distinguish between:
More executions
andMore independent evidential support.
Repeated executions may strengthen evidence where repetition legitimately
tests variability, uncertainty, stochastic behavior, scenario diversity, or
reproducibility.
They may add little evidential strength where all executions share the same
material: assumption; model weakness; representation error; input deficiency;
scenario omission; correlation limitation.
Common-mode weaknesses must therefore remain visible when simulation evidence
is aggregated.
Simulation Reliance Boundary
The Simulation Reliance Boundary establishes the maximum simulation-specificreliance that may legitimately be placed upon qualified evidence.
A reliance boundary may be constrained by: Simulation Object; object version;
object configuration; purpose; scope; exclusion; represented reality;
abstraction; fidelity; assumption; parameter range; model applicability;
environmental configuration; input basis; scenario; execution condition;
output class; inference; correlation; uncertainty; temporal validity.
Reliance outside these boundaries requires a new governed basis.
SERBS therefore prevents the transformation:
Evidence valid under Condition A → claim assumed valid everywhere.
Simulation Use Limitation
Every material limitation affecting legitimate use of simulation-derivedevidence must remain attached to that evidence.
Use limitations may establish that evidence: supports only a defined
proposition; applies only to specified scenarios; applies only to a defined
Simulation Object configuration; applies only within a defined parameter
range; depends upon identified assumptions; excludes particular conditions;
does not represent specified real-world phenomena; cannot support specified
decisions; cannot independently establish operational performance; requires
additional evidence; cannot be generalized beyond a stated environment;
expires or requires review after material change; may support comparison but
not absolute prediction; may support exploration but not validation; may
support validation only together with additional evidence.
A limitation that is separated from the evidence it constrains is no longer an
effective governance control.
Unsupported Reliance
SERBS requires unsupported reliance to be identifiable.Unsupported reliance may arise where simulation evidence is used: outside its
simulation purpose; beyond its scope; for an excluded condition; for a
different Simulation Object version; beyond tested parameter ranges; outside
represented reality; outside scenario coverage; beyond established
correlation; beyond temporal applicability; after material change; contrary to
a documented limitation; as sole validation evidence where broader evidence is
required.
Unsupported reliance must not become legitimate merely because it becomes
organizational practice.
Negative Evidence Principle
SERBS recognizes that failed, anomalous, contradictory, unstable, divergent,or unexpected simulation results may carry significant evidential meaning.
Simulation campaigns must therefore not treat only favorable or successful
outcomes as evidence.
Governable simulation evidence may include: failure; non-convergence;
instability; unexpected behavior; threshold violation; scenario failure;
sensitivity; disagreement between models; divergence from observed reality;
unexpected variance; evidence against an intended claim.
An unwanted simulation result does not cease to be evidentially relevant
because it is inconvenient.
Temporal Evidence Principle
Simulation evidence has a temporal dimension.Evidence qualified at one point in time may become less relevant where: the
Simulation Object changes; operating conditions change; reality changes; new
observations become available; assumptions become obsolete; models are
replaced; inputs change materially; new scenarios become relevant; correlation
deteriorates.
SERBS therefore connects directly to Simulation Lifecycle & Resimulation
Standard (SLRS).
Evidence whose simulation basis has materially changed must not retain an
unchanged reliance status automatically.
Validation Interface Principle
SERBS establishes the methodological interface between SIMULOS® and VALIDOS®.The boundary is explicit:
SIMULOS® determines what simulation-derived evidence can legitimately mean.
VALIDOS® determines whether that evidence is sufficient, alone or together
with other evidence, to support a Validation Determination or intended
reliance.
SERBS may therefore qualify: what evidence exists; what proposition it
supports; what weight it may carry; under what conditions it applies; what
uncertainties affect it; what limitations govern its use.
SERBS does not decide: whether the complete Validation Object is valid;
whether the complete evidence basis is sufficient; whether validation criteria
have been satisfied; whether a Validation Determination may be issued; whether
operational reliance is justified by the total validation basis.
Cross-Architecture Boundaries SERBS ↔
VALIDOS®
SIMULOS® / SERBS governs simulation-derived evidence and the legitimateboundary of simulation-specific reliance.
VALIDOS® governs the sufficiency of the complete validation basis and formal
Validation Determination.
Simulation evidence qualification ≠ validation sufficiency. SERBS ↔ INTEGROS®
SERBS governs the simulation-specific meaning and use of simulation-derived
evidence.
INTEGROS® governs broader integrity properties affecting objects, processes,
states, information, and evidence.
SERBS must therefore not redefine general
evidence integrity. SERBS ↔ ORA™
ORA™ governs actual Operational Reality.SIMULOS® may use governed Operational Reality and SRCS correlation
relationships when establishing simulation evidential meaning.
SERBS does not determine what operational
reality is. SERBS ↔ ADIT®
ADIT® may govern auditability, preservation, evidential observation,verification, and examination of what occurred.
SERBS governs the simulation-specific meaning and reliance boundary of
simulation-derived evidence.
Auditability of evidence ≠ evidential meaning of simulation evidence. SERBS ↔
AGA™
AGA™ governs who holds authority, responsibility, accountability, and
attribution for decisions involving simulation evidence.
SERBS governs what the evidence can legitimately support. SERBS ↔ AIG® / ASGA™
SIMULOS® may generate evidence concerning AI or autonomous systems.
SERBS governs that simulation-derived evidence.
AIG® and ASGA™ continue to govern the actual behavior, authority, autonomy,
constraints, and operation of the systems themselves. Parent Standard Modules
1. SEQM — Simulation Evidence Qualification Module
Governs the transformation of simulation-derived outputs, observations,
correlations, and inferences into explicitly qualified simulation evidence.
SEQM establishes: evidence identity; evidential purpose; simulation basis;
provenance; qualification conditions; applicability; uncertainty; evidential
qualification state.
Its core question is:
What simulation-derived information legitimately qualifies as evidence, and
for what evidential purpose? 2. SEWM — Simulation Evidence Weight Module
Governs the simulation-specific evidential weight assigned to qualified
simulation evidence.
SEWM evaluates factors that materially strengthen, weaken, condition, or
constrain evidential meaning.
Its core question is:
How much evidential significance may qualified simulation evidence
legitimately carry within its defined context? 3. SRBM — Simulation Reliance
Boundary Module
Governs the maximum legitimate reliance that may be placed upon
simulation-derived evidence within the simulation governance context.
Its core question is:
How far may reliance upon this simulation evidence legitimately extend before
the evidence is being used beyond its governed basis? 4. SUM — Simulation Use
Limitation Module
Governs conditions, exclusions, restrictions, caveats, unsupported
interpretations, and prohibited uses attached to simulation evidence.
Its core question is:
What must simulation-derived evidence not be used to claim, infer, justify, or
support? 5. SVIM — Simulation Validation Interface Module
Governs the transfer boundary between SIMULOS® simulation evidence governance
and VALIDOS® validation governance.
SVIM ensures that evidence entering validation retains its: identity;
provenance; qualification; evidential weight; applicability; uncertainty;
reliance boundary; limitations.
Its core question is:
How must simulation-derived evidence enter broader validation governance
without losing the conditions that define its legitimate meaning?
Internal Module Flow
Governed Simulation Outputs + Governed Simulation-to-Reality Correlation →SEQM — Simulation Evidence Qualification Module → SEWM — Simulation Evidence
Weight Module → SRBM — Simulation Reliance Boundary Module → SUM — Simulation
Use Limitation Module → SVIM — Simulation Validation Interface Module →
Governed Simulation Evidence & Reliance Record
The internal logic is:
What qualifies as evidence → what weight it carries → how far reliance may
extend → what uses remain prohibited or constrained → how evidence may enter
broader validation governance.
Minimum Implementation Framework
A minimum SERBS implementation should
establish: 1. Evidence Object
Identify the precise simulation-derived information proposed for evidentialuse. 2. Evidential Purpose
Define the proposition, question, decision, or claim the evidence is intended
to inform. 3. Simulation Basis
Trace the evidence to its originating Simulation Object, purpose, scope,
representation, assumptions, model, inputs, scenarios, executions, outputs,
and correlation basis where relevant. 4. Evidence Qualification
Determine whether the simulation-derived information legitimately qualifies as
evidence for the stated purpose. 5. Evidence Weight
Determine the simulation-specific weight that the evidence may legitimately
carry. 6. Reliance Boundary
Establish the maximum context in which reliance remains supported. 7. Use
Limitations
Record material exclusions, restrictions, unsupported interpretations, and
prohibited uses. 8. Uncertainty
Preserve uncertainty affecting evidential
meaning. 9. Validation Interface
Preserve all relevant evidence conditions when evidence enters VALIDOS® oranother downstream validation process. 10. Lifecycle Sensitivity
Identify changes capable of invalidating or weakening the current evidential
basis and triggering review or resimulation.
Governance Outputs
SERBS may generate: Simulation Evidence Qualification Record SimulationEvidence Basis Record Simulation Evidence Weight Assessment Simulation
Evidence Provenance Record Simulation Evidence Applicability Statement
Simulation Reliance Boundary Statement Simulation Use Limitation Record
Unsupported Reliance Register Simulation Evidence Uncertainty Record
Simulation Evidence Aggregation Record Simulation Validation Interface Package
Governed Simulation Evidence & Reliance Record
Together, these outputs make the evidential meaning of simulation results
explicit, transferable, reviewable, and bounded.
Enterprise Application
SERBS enables an organization to determine not merely whether a simulation hasproduced results, but what those results can legitimately support.
It can be used to govern simulation evidence used for: engineering decisions;
design decisions; safety cases; scientific claims; infrastructure planning;
mission preparation; product development; system qualification; operational
planning; AI evaluation; autonomous-system evaluation; validation programs;
regulatory submissions; investment decisions; risk analysis; scenario
comparison.
SERBS is particularly relevant where simulation produces highly convincing,
precise, or large-scale outputs that may create an appearance of certainty
greater than their actual evidential basis.
A simulation may produce billions of data points without adequately supporting
the real-world proposition for which those data are being used.
Equally, a narrowly designed simulation may provide strong evidence for a
precisely bounded question even though it cannot support broader claims.
SERBS gives organizations the governance structure needed to distinguish
between these situations.
Foundational Principles
Simulation output is not automatically simulation evidence.Simulation evidence is not automatically validation evidence sufficient for a
Validation Determination.
Evidence availability is not evidence sufficiency.
Evidence volume is not evidential strength.
Repeated simulation is not automatically independent evidence.
Simulation complexity is not evidential authority.
Numerical precision is not evidential certainty.
Correlation with reality does not establish equivalence with reality.
Evidence must remain bounded by the conditions that give it meaning.
Use limitations are part of the evidence itself.
Negative and anomalous simulation results may carry material evidential
meaning.
Simulation-derived evidence must not be relied upon beyond the object,
conditions, scenarios, assumptions, executions, outputs, correlations, and
temporal context from which its evidential meaning was established.
SIMULOS® determines what simulation-derived evidence can legitimately mean.
VALIDOS® determines whether the total evidence basis is sufficient to support
a Validation Determination or intended reliance.