OOF™ Origin Open Foundation™

Independent Methodological Authority

Architecture Ecosystem: Structured Reality Standards™
Architecture Family: ADIT® — Continuous Audit & Evidence Governance Architecture
Parent Standard: Evidence Correlation Standard
Operational Layer: Evidence Correlation Governance Layer
Category: Governance & Enforcement
Subcategory: Audit & Evidence Governance
Type: Parent Standard Module
Governed Space: Evidence Dependencies
Version: 1.0
Status: Canonical · Open Module
Origin Date: 26 July 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)

Governed Space

Evidence Dependencies

Canonical Definition

Evidence Dependency Module defines the governance framework for identifying,
validating, managing, and preserving dependency relationships between governed
evidence objects. It establishes dependency principles, dependency validation
rules, governance controls, dependency mapping mechanisms, and continuous
dependency assurance necessary to ensure that operational relationships
between evidence remain accurate, complete, and governable throughout the
complete lifecycle of a governed entity.

Operational Role

Evidence Dependency Module governs the dependency layer of evidence
correlation by ensuring that operational, logical, causal, and structural
dependencies between evidence objects are accurately identified, validated,
and continuously maintained.

Minimum Implementation Framework

1. Define Dependency Requirements

Identify dependency types, operational relationships, causal requirements,
governance objectives, and dependency conditions required for evidence
correlation.

2. Define Dependency Methodology

Establish standardized procedures for identifying, documenting, validating,
maintaining, and governing dependencies between evidence objects.

3. Define Dependency Validation Logic

Define how evidence dependencies are evaluated by verifying operational
relationships, dependency completeness, logical consistency, causal accuracy,
and governance compliance.

4. Define Governance Response

Establish governance actions for missing dependencies, invalid relationships,
broken dependency chains, dependency conflicts, validation failures, and
corrective measures.

5. Preserve Dependency Records

Maintain dependency maps, validation history, governance decisions, corrective
actions, timestamps, and supporting documentation throughout the complete
lifecycle.

Example Use Cases

Use Case 1 — Autonomous AI Governance

Scenario

An autonomous AI ecosystem generates evidence across multiple coordinated
services where later decisions depend on earlier operational outcomes.

Application

Evidence Dependency Module governs the identification and validation of
dependency relationships between all relevant evidence objects.

Result

Organizations can accurately understand how operational events influenced one
another throughout the complete execution lifecycle.

Use Case 2 — Financial Investigation

Scenario

Auditors investigate a complex financial process involving approvals,
transactions, authorizations, and settlement activities.

Application

Evidence Dependency Module governs dependency mapping between every related
evidence object to reconstruct operational dependencies and causal
relationships.

Result

Auditors obtain a complete dependency model supporting reliable investigation,
accountability, and independent verification.

Canonical Closing Statement

Evidence Dependency Module establishes the canonical governance framework for
governing dependency relationships between governed evidence throughout the
complete lifecycle. By governing dependency identification, dependency
validation, dependency mapping, and continuous dependency assurance, the
module enables reliable operational reconstruction, accountable governance,
independent verification, and trustworthy audit across all operational
domains.