Validation Object Relationship Module (VORM)
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: VALIDOS™ — Validation Governance Architecture
Parent Standard: Validation Object Standard (VOBS)
Operational Layer: Validation Object Governance Layer
Category: AI & Interpretation
Subcategory: Validation Governance
Type: Parent Standard Module
Governed Space: Validation Object Relationship
Version: 1.0
Status: Canonical · Open Module
Effective Date: 7 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 Object Relationship Module (VORM) defines the governanceframework for identifying, classifying, evaluating, maintaining, and
documenting the material relationships and dependencies that may
affect a Validation Object or the applicability of its validation.
It establishes the conditions under which relationships between the
Validation Object and its components, parent objects, dependent
objects, external systems, data sources, operational environments,
human actors, services, infrastructure, and other relevant entities
are made visible to validation governance.
Operational Role
VORM governs the relationship layer of Validation Object governance.Its role is to ensure that a Validation Object is not treated as
methodologically isolated when its validity, behavior, state,
operation, or interpretation materially depends upon other entities
or environmental conditions.
VORM establishes which relationships must remain visible throughout
validation so that subsequent validation activities can distinguish
the object itself from the external conditions capable of
influencing it.
Module Operational Space
VORM governs:- object relationships,
- object dependencies,
- parent-child relationships,
- component relationships,
- upstream dependencies,
- downstream dependencies,
- external-system relationships,
- data-source relationships,
- infrastructure relationships,
- human-system relationships,
- environmental relationships,
- relationship materiality,
- relationship change,
- dependency continuity,
- and relationship traceability.
Module Function
VORM applies wherever a Validation Object interacts with, dependsupon, contains, is contained by, receives input from, provides
output to, or is materially influenced by another entity.
Its function is to prevent:
- hidden validation dependencies,
- treatment of dependent objects as independent,
- omission of materially relevant relationships,
- unsupported attribution of external failures to the Validation Object,
- unsupported attribution of object validity to dependent systems,
- loss of dependency visibility,
- validation conclusions based on obsolete relationships,
- and incorrect reliance after material relationship change.
Relationship Classification
Material relationships may be classified according to theirrelevance to validation.
Where applicable, VORM may distinguish:
Structural Relationships
Relationships between the Validation Object and its internal
components, parent structures, subsystems, or composite elements.
Dependency Relationships
Relationships where the Validation Object depends upon another
entity, resource, service, dataset, infrastructure component, or
operational condition.
Input Relationships
Relationships through which information, data, instructions,
resources, or other inputs enter the Validation Object.
Output Relationships Relationships through which the Validation
Object produces information, decisions, actions, states, or other
outputs affecting external entities.
Operational Relationships
Relationships arising through interaction with users, organizations,
systems, environments, infrastructure, or operational processes.
Contextual Relationships
Relationships whose significance depends upon the context in which
the Validation Object is used, interpreted, deployed, or
relied upon.
Minimum Implementation Framework
1. Identify Material RelationshipsDetermine which entities, systems, components, sources,
environments, actors, or dependencies have a relationship capable of
materially affecting validation.
2. Classify Relationship Type
Determine the nature of each relevant relationship, including
where applicable:
- structural,
- dependency,
- input,
- output,
- operational,
- contextual,
- hierarchical,
- or external relationships.
3. Determine Relationship Materiality
Assess whether the relationship can materially affect:
- object behavior,
- object state,
- validation criteria,
- evidence applicability,
- validation execution,
- validation determination,
- validation state,
- or permitted reliance.
4. Govern Relationship Change
Where a material relationship changes, determine whether
that change:
- has no material validation effect,
- modifies assumptions,
- alters the Validation Object,
- changes validation applicability,
- restricts reliance,
- or creates a potential revalidation requirement.
5. Preserve Relationship Traceability
Maintain sufficient records to determine:
- which relationships existed during validation,
- which relationships were considered material,
- how those relationships affected the object,
- which dependencies were relied upon,
- when relationships changed,
- and whether those changes affected validation applicability.
Relationship Materiality Principle
Not every relationship surrounding a Validation Object requiresgovernance at the same level.
VORM focuses on material relationships —relationships whose
existence, absence, state, or change can reasonably affect the
validity or applicability of validation.
This prevents validation governance from becoming unnecessarily
expansive while ensuring that consequential dependencies
remain visible.
Relationship Change Governance
A Validation Object may remain internally unchanged while itssurrounding relationships change materially.
Examples include:
- replacement of an external data source,
- migration to different infrastructure,
- modification of an external API,
- change in human oversight,
- replacement of a dependent model,
- alteration of upstream data processing,
- deployment into a different operational environment,
- or removal of a previously available dependency.
VORM ensures that such changes are not ignored merely because the
Validation Object itself has not been directly modified.
A material relationship change may therefore affect validation
applicability without necessarily creating a new Validation Object.
Use Case 1 — AI System Dependencies
ScenarioAn AI application relies on an external foundation model, retrieval
database, cloud infrastructure, and third-party data feeds.
Application
VORM identifies and classifies the relationships between the
Validation Object and each material dependency, determines their
relevance to validation, and records the dependency conditions
existing during validation.
Result
The validation determination remains interpretable in relation to
the ecosystem within which the AI application was
actually validated.
Use Case 2 — Automated Decision Environment
ScenarioAn automated decision system remains technically unchanged, but the
external dataset supplying its primary input is replaced.
Application
VORM recognizes the data-source relationship as materially relevant
and evaluates whether the relationship change affects the
applicability of the existing validation.
Result
The organization does not assume that unchanged software
automatically means unchanged validation conditions.