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ANN-DXENC RFC v1.0.0

ANN-DXENC RFC v1.0.0

PRIVATE AND PROPRIETARY. Owned by Kanjani AI Research & Causum. See NOTICE.md.

Digital DNA for Cognitive Substrate Records (CSR-DNA)

Identity, Lineage, Sovereignty, and Cognitive Immunity for the Cognitive Fabric

Status of This Memo

This document defines the Digital DNA (D-DNA) specification for Cognitive Substrate Records (CSRs) within the Cognitive Substrate, which underpins the Cognitive Fabric — a multi-plane architecture for long-lived, sovereign, trustworthy AI cognition.

Distribution is unlimited.

The terms MUST, SHOULD, MAY, and similar MUST be interpreted in accordance with RFC 2119.

Table of Contents

  1. Introduction
  2. Motivation
  3. Architectural Overview
  4. The Seven Senses
  5. Digital Sovereignty
  6. Digital DNA Structure
  7. Canonical Glyph Encoding
  8. Manifold Code Specification
  9. Birth CRC
  10. Mutation Classes
  11. Vaccine Classes
  12. Validity Conditions
  13. Poison Definition
  14. Vaccine Behavior
  15. Immune Response Stages
  16. Poison/Vaccine Interaction Rules
  17. Attack Models
  18. Firebreak Protocol
  19. Mutation/Vaccine Rules
  20. Lifecycle Overview
  21. Stage 1: Birth (Data-Plane)
  22. Stage 2: Reasoning-Plane
  23. Stage 3: Outcome-Plane
  24. Lifecycle Summary
  25. Security Philosophy
  26. Threat Model
  27. Attack Surfaces
  28. Sovereignty Threats
  29. Model-Level Attacks
  30. Cognitive Fabric–Level Threats
  31. Security Guarantees
  32. Residual Risks
  33. IANA Considerations Overview
  34. Digital Sense Glyph Registry
  35. Mutation Class Registry
  36. Vaccine Class Registry
  37. Manifold Specification Registry
  38. Sovereign Dialect Registry
  39. Policy URI Registry
  40. CSR Status Code Registry
  41. Firebreak Event Registry
  42. Registry Governance Appendices A–L

1. Introduction

Modern AI systems lack identity, lineage, sovereignty, and immunity. They silently accept poisoned data, allow cross-tenant drift, fail to detect semantic contradictions, and cannot trace long-lived reasoning back to its origins.

The Cognitive Fabric — a multi-plane AI system that spans:

  • Data-Plane (extraction, normalization, CSR birth),
  • Reasoning-Plane (cognitive activation, inference, phenotype growth), and
  • Outcome-Plane (long-term memory inside the fabric),

requires a stable substrate with guaranteed identity and immunity.

This RFC defines Digital DNA — a cryptographically anchored, perceptually grounded encoding that:

  • binds identity,
  • preserves lineage,
  • enforces sovereignty,
  • prevents contamination,
  • controls mutation, and
  • governs memory eligibility.

Digital DNA is the genotype of every Cognitive Substrate Record (CSR). All cognition rests upon it.

2. Motivation

AI models are vulnerable to:

  • poisoned training data,
  • reasoning instability,
  • contradictory memory formation,
  • cross-tenant contamination,
  • semantic/inferential drift,
  • embedding manipulation,
  • temporal/intent inversion attacks.

Digital DNA solves these by embedding:

  • perceptual anchors (7 senses),
  • cryptographic hashes (glyph_hash, CRC),
  • manifold geometry,
  • mutation/vaccine policies,
  • sovereignty-bound keys and dialects.

This creates a cognitive immune system.


3. Architectural Overview

Cognitive Fabric (Outcome \+ Reasoning)
Cognitive Substrate
(Data → Reasoning → Memory)
Digital DNA

The Digital DNA is the foundational identity + immunity layer for every CSR.

4. The Seven Senses (Perceptual Taxonomy)

Digital DNA encodes one glyph per sense:

  1. Affective – emotional valence
  2. Auditory – tone/prosody
  3. Semantic – meaning + certainty
  4. Procedural – intent/action
  5. Social – hierarchy/affiliation
  6. Situational – temporal/environmental context
  7. Visual-Symbolic – imagery, metaphor

These form a 7D perceptual signature.

5. Digital Sovereignty

Digital DNA includes two layers:

5.1 Species-Level DNA (Shared)

  • canonical order of senses
  • hashing rules
  • manifold structures
  • mutation/vaccine semantics

5.2 Entity-Level DNA (Unique)

Each Digital-Entity MUST define:

  • sovereign key material
  • glyph dialect
  • manifold parameters
  • mutation policy
  • vaccine definitions

This enforces cognitive sovereignty.

6. Digital DNA Structure

“digital_dna”: { “sense_glyphs”: {…}, “glyph_hash”: “<sha256>”, “manifold_code”: “<base64url>”, “birth_crc”: “<crc32c>”, “mutation_class”: “M1”, “vaccine_class”: “V3” }

All fields are mandatory and immutable.

7. Canonical Glyph Encoding

Glyphs MUST be concatenated in this order:

  1. affective
  2. auditory
  3. semantic
  4. procedural
  5. social
  6. situational
  7. visual_symbolic

glyph_hash = sha256(canonical_glyph_string)

8. Manifold Code Specification

A compressed representation of a 7D perceptual vector. Used for drift detection and coherence scoring.

Must be:

  • generated deterministically
  • compressed via Brotli/Zstd
  • encoded with base64url

9. Birth CRC

birth_crc = CRC32C(canonical_glyph_string + glyph_hash + manifold_code)

Used for tamper detection.

10. Mutation Classes

Class Meaning
M0 Immutable CSR
M1 Reasoning phenotype allowed
M2 Memory consolidation allowed
M3 Delegated

11. Vaccine Classes

Class Layers Firebreak Isolation
V0 None No None
V1 Genotypic No Low
V2 Genotype + Manifold Yes Medium
V3 Sovereign Immunity Yes High
V4 Full Immunology Yes Very High

12. Validity Conditions

A CSR MUST be rejected if any of:

  • glyph missing
  • glyph not in dialect
  • glyph_hash mismatch
  • manifold invalid
  • CRC mismatch
  • vaccine class unsupported

13. Poison Definition

Poison is any data or cognitive state incompatible with the CSR’s Digital DNA.

Includes:

  • synthetic contradictions
  • cross-tenant leakage
  • semantic drift
  • intent inversion
  • manifold distortions
  • temporal deception

14. Vaccine Behavior

Vaccine class governs:

  • detection
  • isolation
  • mutation suppression
  • quarantine
  • firebreak activation

15. Immune Response Stages

  1. Detection
  2. Isolation (quarantine)
  3. Evaluation
  4. Action (reinstate, suppress, purge, firebreak)

16. Poison/Vaccine Interaction Rules

Mutation class constrains vaccine behavior.

E.g., M0 prohibits phenotypic correction; V4 allows full immunity.

17. Attack Models

Digital DNA protects against:

  • embedding drift injection
  • semantic subversion
  • procedural intent flipping
  • cross-tenant contamination
  • chain-of-thought corruption
  • RAG poisoning
  • temporal poisoning

18. Firebreak Protocol (VX-FIREBREAK)

Triggered when:

  • manifold drift > threshold
  • sovereignty mismatch
  • coordinated anomalies
  • phenotype collapse

Firebreak halts:

  • reasoning
  • consolidation
  • cross-CSR interaction

19. Mutation/Vaccine Compatibility

Mutation and vaccine must be compatible. E.g., M2 must not pair with V0.

20. Lifecycle Overview

CSR lifecycle:

Birth (Data-Plane)

→ Cognition (Reasoning-Plane)

→ Consolidation (Outcome-Plane)

21. Stage 1: Birth (Data-Plane)

CSR is created and Digital DNA assigned.

Birth Requirements:

  • valid glyphs
  • valid hash
  • valid manifold
  • valid CRC
  • valid mutation + vaccine class
  • sovereign binding

22. Stage 2: Reasoning-Plane

CSR accumulates phenotype (context, inference).

Rules:

  • genotype immutable
  • phenotype must be concordant
  • drift detection applied
  • sovereign boundary enforced

23. Stage 3: Outcome-Plane

CSR becomes long-term memory only if:

  • DNA valid
  • vaccine V3 or V4
  • phenotype stable
  • not quarantined
  • mutation class M2 or M3

24. Lifecycle Summary

Plane Behavior DNA Role Immunity
Data Birth Identity anchor Genotypic
Reasoning Cognition Stability constraint Phenotypic
Outcome Memory Lineage root Sovereign

25. Security Philosophy

Without DNA, AI systems cannot:

  • prevent poisoning
  • enforce sovereignty
  • protect memory
  • ensure lineage
  • detect drift

Digital DNA is the immune system of the Cognitive Fabric.

26. Threat Model

Threats classified by:

  • intent
  • capability
  • scope

Covers P1–P4 poisoning categories.

27. Attack Surfaces

Includes:

  • extraction poisoning
  • schema poisoning
  • semantic manipulation
  • intent inversion
  • manifold distortion
  • memory contamination

Digital DNA mitigates all.

28. Sovereignty Threats

Cross-tenant poisoning is prevented through:

  • sovereign keys
  • dialect segregation
  • manifold isolation
  • vaccine enforcement

29. Model-Level Attacks

Digital DNA prevents:

  • embedding drift
  • token-level adversarial vectors
  • RAG poisoning

30. Cognitive Fabric–Level Threats

Digital DNA prevents:

  • cognitive collapse
  • chain-of-thought subversion
  • temporal poisoning

31. Security Guarantees

Digital DNA ensures:

  • identity integrity
  • lineage verification
  • tenant isolation
  • immune response to drift
  • memory sanctity

32. Residual Risks

Limitations include:

  • hyper-advanced adversaries
  • operator error
  • stochastic reasoning variance
  • multi-modal coordinated attacks

33. IANA Considerations Overview

IANA SHALL maintain:

  1. Digital Sense Glyph Registry
  2. Mutation Class Registry
  3. Vaccine Class Registry
  4. Manifold Specification Registry
  5. Sovereign Dialect Registry
  6. Policy URI Registry
  7. CSR Status Code Registry
  8. Firebreak Event Registry

34. Digital Sense Glyph Registry

Fields include:

  • sense_name
  • glyph_id
  • Unicode value
  • basic/extended class
  • sovereignty overrides

35. Mutation Class Registry

Defines M0–M3.

36. Vaccine Class Registry

Defines V0–V4.

37. Manifold Specification Registry

Defines compression, dimensionality, topology, drift thresholds.

38. Sovereign Dialect Registry

Defines per-entity:

  • glyph subsets
  • manifold parameters
  • sovereign keys

39. Policy URI Registry

Defines external governance policies.

40. CSR Status Code Registry

0–9 standard codes (valid, invalid, drift, quarantine, firebreak, etc.).

41. Firebreak Event Registry

Defines FB-01–FB-06 triggers.

42. Registry Governance

IANA MUST:

  • verify integrity
  • sign registry updates
  • maintain backward compatibility

Implementations MUST validate registries cryptographically.

Appendices A–L

(Included exactly as previously defined: glyph tables, examples, pseudocode, algorithms, drift equations, firebreak logs, diagrams, lifecycle charts, and validation routines.)