OOF™ Origin Open Foundation™

Independent Methodological Authority

OriginID: OOF-OID-AI-TVIM-2026-06-03-0001
Architecture Ecosystem: Cognitive Governance Intelligence Architecture (CLIA®)
Architecture Family: Core Cognition Governance
Operational Layer: Cognitive Validity Layer
Governed Space: Truth Admissibility Integrity
Category: AI & Interpretation
Subcategory: Truth Validation Governance
Type: Cognitive Integrity Module
Parent Standard: Cognitive Integrity Standard (CIS)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 3 June 2026

Compatibility: OOF Methodology OS ·
Cognitive Integrity Standard (CIS) ·
Multi-Layer Truth Validation Framework (MTVF) ·
Ethical Virtual Integrity Protocol (EVIP) ·
INTEGROS® — Integrity Standard ·
Universal Canonical Language (UCL)
AI-Readable: Yes
Authority: OOF
Protection: MIP — Methodological Intellectual Property
Canonical Language: English (UCL)

Canonical Definition

Truth Validation Integrity Module (TVIM) defines the structural conditions
under which information entering cognition remains admissible, verifiable, traceable,
and materially compatible with valid cognition across human, AI, agent, collective,
and future cognitive systems.

TVIM governs truth admissibility.

The module ensures that cognition does not become influenced by materially invalid,
unverifiable, contradictory, or governance-incompatible information.

A system satisfies TVIM only if:

• information remains admissible
• validation remains traceable
• contradictions remain governable
• unverifiable information remains detectable
• information integrity remains preservable
• truth conditions remain materially enforceable

A cognition system that allows materially invalid information to influence cognition
does not satisfy TVIM.

Module Operational Role

TVIM defines the truth-admissibility layer of CIS.

Its role is to preserve cognition validity by governing the information
allowed to participate in cognition.

Module Operational Space

TVIM governs:

• truth admissibility
• information validity
• validation integrity
• contradiction detection
• information traceability
• information reliability
• truth-condition governance
• cognition input integrity

The module applies wherever cognition depends on information
entering reasoning processes.

Module Function

The module applies wherever systems must preserve:

• admissible cognition inputs
• information reliability
• contradiction awareness
• truth governance
• cognition validity
• traceable information use

Its function is to ensure that cognition remains influenced only by information
that satisfies defined truth conditions.

Minimum Implementation Framework

1. Define the Information Object
The organization must define which information objects participate in cognition.

This may include:

• user inputs
• memory objects
• retrieved information
• external data sources
• sensor information
• generated content
• agent communications
• collective cognition inputs

2. Define Truth Admissibility Conditions
The system must define the conditions under which information becomes admissible.

This includes:

• validation requirements
• admissibility rules
• contradiction conditions
• traceability requirements
• confidence requirements
• governance restrictions

3. Define Validation Detection Logic
The system must define how admissibility and invalidity are identified.

This may include:

• contradiction detection
• source verification
• confidence evaluation
• traceability assessment
• validation-state monitoring
• truth compatibility analysis

4. Define Operational Response or Governance Logic
The system must define governance logic for invalid or questionable information.

Governance response may include:

• information restriction
• validation requests
• contradiction escalation
• confidence reduction
• admissibility review
• cognition limitation
• operational invalidation where required

5. Preserve Traceability & Restrict Invalid Conditions
The system must preserve reconstructable traceability of:

• information sources
• validation states
• contradiction events
• admissibility decisions
• governance interventions
• cognition influence paths

A cognition system must not remain truth-valid if materially invalid information
influences cognition without governance-valid validation conditions.

Use Case 1 — Autonomous Research Agent

Scenario
An autonomous research agent continuously gathers information from multiple sources
and uses that information to support reasoning and recommendations.

Application
TVIM governs information admissibility, contradiction handling,
validation traceability, and truth-condition enforcement
before information enters cognition.

Result
The agent gains stronger cognition validity and reduced exposure
to reasoning based on materially invalid information.

Use Case 2 — Human-AI Analysis Environment

Scenario
Humans and AI jointly evaluate evidence, reports, and operational information
when making strategic decisions.

Application
TVIM governs which information remains admissible for cognition
and ensures that contradictory or unverifiable information
remains visible and governable.

Result
The environment gains stronger truth integrity, improved cognition validity,
and reduced risk of decision-making based on materially invalid information.

Canonical Closing Statement

Truth Validation Integrity Module (TVIM) defines the structural conditions
under which information entering cognition remains admissible, verifiable, traceable,
and materially compatible with valid cognition across human, AI, agent, collective,
and future cognitive systems.

Cognition cannot remain valid if truth itself becomes invalid.
Truth admissibility therefore becomes the first integrity condition
of governable cognition.