Validation Acceptance & Rejection Conditions Module (VARCM)
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: VALIDOS™ — Validation Governance Architecture
Parent Standard: Validation Criteria Standard (VCRS)
Operational Layer: Validation Criteria Governance Layer
Category: AI & Interpretation
Subcategory: Validation Governance
Type: Parent Standard Module
Governed Space: Validation Acceptance & Rejection Conditions
Version: 1.0
Status: Canonical · Open Module
Effective Date: 8 August 2026
Compatibility: OOF® Methodology OS™ · GOA™ · OBIDENITY® · INTEGROS®
· ORA™ · AGA™ · AIG® · CLIA® · MGIA™ · ASGA™ · RIS™
AI-Readable: Yes
Authority: OOF®
Protection: MIP® — Methodological Intellectual Property
Canonical Language: English (UCL™)
Canonical Definition
Validation Acceptance & Rejection Conditions Module (VARCM) definesthe governance framework for establishing, distinguishing,
structuring, documenting, maintaining, and controlling the
conditions under which individual Validation Criteria may be
considered satisfied, not satisfied, conditionally satisfied, or
not determinable.
It establishes the evaluation logic necessary to translate
criterion-level observations and threshold relationships into
governed criterion outcomes without prematurely producing the
overall Validation Determination.
Operational Role
VARCM governs the acceptance-and-rejection condition layer ofValidation Criteria governance.
Its role is to establish what must occur for an individual
Validation Criterion to receive a defined evaluation outcome.
The module operates after Validation Requirements, Validation
Criteria, and applicable Validation Thresholds have been
sufficiently established.
The progression becomes: Validation Requirement → Validation
Criterion → Validation Threshold → Acceptance & Rejection Conditions
VARCM does not determine whether the complete Validation Object
is valid.
It defines the criterion-level outcome conditions required for later
validation determination.
Module Operational Space
VARCM governs:- criterion acceptance conditions,
- criterion rejection conditions,
- conditional satisfaction,
- non-determinability,
- criterion outcome logic,
- mandatory conditions,
- exclusionary conditions,
- composite-condition logic,
- conditional activation,
- tolerance interpretation,
- threshold relationship,
- uncertainty treatment,
- incomplete evaluation conditions,
- conflicting outcome conditions,
- acceptance and rejection stability,
- condition change,
- versioning,
- and outcome-condition traceability.
Module Function
VARCM applies wherever a Validation Criterion requires explicitlogic for interpreting subsequent evaluation results.
Its function is to prevent:
- undefined acceptance logic,
- undefined rejection logic,
- threshold crossing being automatically equated with complete validity,
- missing evidence being treated as failure,
- unresolved uncertainty being treated as success,
- incomplete evaluation being represented as acceptance,
- materially different criterion outcomes being collapsed into binary pass/fail states,
- acceptance conditions being changed after results are observed,
- rejection conditions being selectively ignored,
- and criterion outcomes being determined through undocumented judgment.
Criterion Outcome Principle
A Validation Criterion requires more than a definitionand threshold.
It requires explicit conditions governing how evaluation results
will be interpreted.
VARCM therefore distinguishes at minimum between:
Satisfied
The available governed evaluation supports satisfaction of the
criterion under the applicable conditions.
Not Satisfied
The governed evaluation demonstrates that the criterion's required
condition has not been satisfied.
Conditionally Satisfied
The criterion is satisfied only under explicitly governed
conditions, limitations, assumptions, or applicability boundaries.
Not Determinable
Available validation activity does not provide sufficient basis to
determine whether the criterion is satisfied or not satisfied.
These outcomes are methodologically different.
They must not be silently treated as equivalent.
Acceptance Conditions
Acceptance conditions define what must be demonstrated before aValidation Criterion may be classified as satisfied.
Acceptance may depend upon:
- satisfaction of an applicable threshold,
- required evidence conditions,
- required confidence,
- absence of exclusionary conditions,
- satisfaction of subordinate criteria,
- required operating conditions,
- applicable contextual conditions,
- defined tolerances,
- or another pre-established validation condition.
Acceptance must be based on the conditions established before the
relevant result is interpreted.
Rejection Conditions
Rejection conditions define circumstances under which a ValidationCriterion cannot be considered satisfied.
These may include:
- failure to reach a minimum threshold,
- exceeding a maximum threshold,
- entering a prohibited range,
- occurrence of an exclusionary condition,
- violation of a mandatory requirement,
- failure of a required subordinate criterion,
- or another explicitly established rejection condition.
Rejection must remain distinguishable from inability to determine
an outcome.
Failure Versus Non-Determinability
VARCM establishes a critical VALIDOS™ distinction:Evidence of failure ≠ absence of evidence of satisfaction.
For example, if required evidence cannot be obtained, this may
prevent criterion acceptance.
However, it does not necessarily demonstrate criterion rejection.
Likewise:
Not proven satisfied ≠ proven not satisfied.
This distinction prevents incomplete validation from generating
false negative conclusions.
Acceptance Versus Absence of Failure
The inverse distinction is equally important:No observed failure ≠ demonstrated satisfaction.
A criterion cannot be accepted merely because validation activity
did not detect a problem.
Acceptance requires the governed conditions for satisfaction to have
been affirmatively met.
This protects validation against false positive conclusions created
by insufficient examination.
Conditional Satisfaction
Some criteria may be satisfied only under defined conditions.Conditional satisfaction may depend upon:
- a restricted use case,
- a particular environment,
- a specific population,
- a defined system configuration,
- continued availability of a dependency,
- a temporary mitigation,
- a limited operating period,
- or another governed condition.
The condition must remain attached to the criterion outcome.
A Conditionally Satisfied criterion must not later be represented
simply as Satisfied if the governing condition remains material.
Exclusionary Conditions
Some conditions may prevent criterion acceptance regardless of otherfavorable results.
For example, an otherwise strong performance result may not satisfy
a criterion if a mandatory safety condition is violated.
VARCM permits explicit Exclusionary Conditions to be established
where methodologically justified.
Exclusionary conditions must be defined before outcome
interpretation and remain traceable to their governing requirement.
Composite Acceptance Logic
A Composite Validation Criterion may depend upon multiplesubordinate criteria or conditions.
VARCM requires the relationship between those elements to
be explicit.
Possible structures may include:
ALL conditions required
ANY defined condition sufficient
Minimum number of conditions required
Weighted combination
Mandatory core + conditional supporting conditions or another
governed logic.
Aggregation must not conceal material subordinate failures,
unresolved states, or exclusions.
Threshold Relationship
Threshold satisfaction may contribute to criterion acceptance butdoes not automatically define the complete acceptance condition.
For example:
Observed Result ≥ Validation Threshold
may be necessary but insufficient where the criterion also requires:
- minimum confidence,
- defined environmental conditions,
- evidence completeness,
- absence of exclusionary conditions,
- or satisfaction of another dependency.
VARCM therefore governs the transition:
Threshold Relationship → Criterion Outcome Logic
Uncertainty Treatment
Where uncertainty materially affects interpretation, acceptance andrejection conditions should define how that uncertainty is treated.
Possible conditions may include:
- uncertainty entirely within an acceptable boundary,
- uncertainty overlapping a threshold,
- uncertainty exceeding a permitted tolerance,
- or uncertainty preventing reliable determination.
VARCM prevents uncertainty from being silently ignored merely
because a central estimate satisfies a threshold.
Minimum Implementation Framework
1. Identify Criterion Outcome RequirementsDetermine which conditions must govern interpretation of the
Validation Criterion.
2. Establish Acceptance Conditions
Define what must be demonstrated for the criterion to be classified
as satisfied.
3. Establish Rejection Conditions
Define what must be demonstrated for the criterion to be classified
as not satisfied.
4. Establish Conditional and Non-Determinable States
Determine when the criterion may be:
- conditionally satisfied,
- unresolved,
- incomplete,
- or not determinable.
5. Establish Composite or Exclusionary Logic
Where applicable, define dependencies, aggregation rules, mandatory
conditions, and exclusionary conditions.
6. Preserve Condition Traceability
Maintain:
- associated Validation Criterion,
- applicable Validation Threshold,
- acceptance conditions,
- rejection conditions,
- conditional-satisfaction conditions,
- non-determinability conditions,
- exclusionary conditions,
- composite logic,
- uncertainty rules,
- version,
- changes,
- and sufficient lifecycle traceability.
Condition Stability
Acceptance and rejection conditions must remain sufficiently stableduring validation.
They must not be modified simply because:
- an observed result would otherwise fail,
- stakeholders prefer acceptance,
- validation has become expensive,
- operational deployment is delayed,
- or a preferred conclusion has already been communicated.
Changing outcome logic after results are known may fundamentally
alter the legitimacy of the validation process.
Condition Change Governance
Material changes may nevertheless become necessary because of:- revised Validation Requirements,
- revised Validation Criteria,
- changed thresholds,
- new scientific evidence,
- regulatory changes,
- corrected methodological errors,
- changed Validation Purpose,
- changed Validation Scope,
- or newly identified operational conditions.
Material changes must be:
- justified,
- documented,
- versioned,
- propagated to affected validation activities,
- and assessed for impact upon previous criterion outcomes.
Outcome Condition Versioning
Every criterion outcome should remain connected to the version ofacceptance and rejection conditions under which it was produced.
This preserves the ability to answer:
Under which outcome logic was this criterion classified?
A later modification of acceptance logic must not silently rewrite
the methodological basis of historical validation results.
Criterion Outcome Versus Validation Determination
VARCM establishes criterion-level interpretation.It does not aggregate all criterion outcomes into the final
validation conclusion.
Therefore:
Criterion Satisfied ≠ Validation Object Validated
and:
Criterion Not Satisfied ≠ Validation Object Automatically Invalid
The significance of individual criterion outcomes depends upon:
- criterion classification,
- hierarchy,
- mandatory status,
- dependencies,
- Validation Purpose,
- and later Validation Determination governance.
This separation prevents premature validity conclusions.
Use Case 1 — AI Performance Criterion
ScenarioAn AI model must satisfy a predefined performance threshold
before deployment.
The measured result exceeds the threshold, but uncertainty around
the result overlaps the minimum permitted boundary.
Application
VARCM applies the predefined acceptance logic, including the
uncertainty condition.
Threshold satisfaction alone does not automatically establish
criterion acceptance.
Result
The criterion may remain Not Determinable or Conditionally Satisfied
until the required confidence condition is established.
Use Case 2 — Autonomous System Safety Criterion
ScenarioAn autonomous system satisfies multiple performance requirements but
violates a mandatory safety condition classified as exclusionary.
Application
VARCM applies the pre-established exclusionary logic.
Favorable results against other conditions cannot override the
mandatory rejection condition.
Result
The affected criterion is classified according to the governed
rejection logic without allowing aggregation to conceal the material
safety failure.