ANN-DXENC RFC Draft v1.0.0 — Part VII

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

Appendices

(Reference Examples, Algorithms, Glyph Tables, Validation Logic, Diagrams)

Appendix A — 7-Sense Glyph Table (Canonical Examples)

These glyphs are illustrative only. Each Digital-Entity MUST define its own sovereign dialect (see §38).

Sense	Description	Example Glyph	Notes
Affective	emotional valence	😐	neutral anchor
Auditory	tone/prosody	🎵	non-semantic tone marker
Semantic	literalness, certainty	≈	approximate/uncertain
Procedural	intent/action	➤	directional/actional
Social	hierarchy/power	⇧	denotes “higher”
Situational	temporal/contextual	🕒	time-specifier
Visual-Symbolic	metaphor/imagery	🌌	cosmic/archetypal

Appendix B — Example CSR with Fully Populated Digital DNA

{ “csr_id”: “csr-47c9e2e1”, “content”: { “text”: “The system reported an anomalous login at 03:00 UTC.”, “source”: “authlog.extractor”, “timestamp”: “2025-12-10T03:01:00Z” }, “digital_dna”: { “sense_glyphs”: { “affective”: “😐”, “auditory”: “🎵”, “semantic”: “≈”, “procedural”: “➤”, “social”: “⇧”, “situational”: “🕒”, “visual_symbolic”: “🌌” }, “glyph_hash”: “e4ad84d5a8f8c636c4c2ba53f8e99b88b4f1f60f847…”, “manifold_code”: “Bb2fYZ_kJxM”, “birth_crc”: “7ac993fe”, “mutation_class”: “M1”, “vaccine_class”: “V3” }}

This CSR:

uses sovereign dialect glyphs,
has a stable genotype,
allows reasoning-plane phenotype accumulation,
carries a strong vaccine class,
is eligible for Outcome-Plane integration if stable.

Appendix C — Canonical Glyph Hashing Algorithm (Pseudocode)

def canonical_glyph_string(glyphs): ordered = [ glyphs[“affective”], glyphs[“auditory”], glyphs[“semantic”], glyphs[“procedural”], glyphs[“social”], glyphs[“situational”], glyphs[“visual_symbolic”] ] return “”.join(ordered)def compute_glyph_hash(glyphs): s = canonical_glyph_string(glyphs) return sha256(s.encode(“utf-8”)).hexdigest()

RFC rules enforced:

Unicode NFC normalization required
No separators allowed
Senses MUST be in canonical order

Appendix D — Manifold Drift Detection Algorithm

Digital DNA defines manifold-space drift as:

drift(csr) = || v_current - v_birth ||₂

Where:

v_current = current embedding vector
v_birth = manifold vector encoded in manifold_code

Threshold Logic

def drift_detect(v_current, v_birth, threshold):

delta \= l2\_norm(v\_current \- v\_birth)

return delta \> threshold

Interpretation Rules

drift ≤ threshold → stable
drift > threshold → suspect
drift > 2× threshold → quarantine
drift > 3× threshold → firebreak

Thresholds MUST be specified by the sovereign manifold specification.

Appendix E — Complete Genotype Validation Routine

def validate_digital_dna(dna, dialect, manifold_spec): # 1. Validate all glyphs exist for sense in DIALECT_SENSE_ORDER: if sense not in dna[“sense_glyphs”]: return INVALID(“missing_glyph”) # 2. Validate glyphs belong to the dialect for sense, glyph in dna[“sense_glyphs”].items(): if glyph not in dialect[sense]: return INVALID(“glyph_not_in_dialect”) # 3. Validate glyph hash expected_hash = compute_glyph_hash(dna[“sense_glyphs”]) if dna[“glyph_hash”] != expected_hash: return INVALID(“glyph_hash_mismatch”) # 4. Validate manifold if not manifold_spec.validate(dna[“manifold_code”]): return INVALID(“manifold_invalid”) # 5. Validate CRC expected_crc = compute_crc(dna) if dna[“birth_crc”] != expected_crc: return INVALID(“crc_mismatch”) return VALID

Appendix F — Sovereignty Boundary Diagram

                     \+------------------------------+

                     |   Cognitive Fabric           |

                     |  (Global Knowledge Space)    |

                     \+------------▲-----------------+

                                  │

            \+---------------------┼----------------------+

            |                     │                      |

 \+----------+----------+  \+-------+-------+    \+---------+-------+

 | Sovereign Space A   |  | Sovereign B   |    | Sovereign C     |

 | (Entity DNA A)       |  | (DNA B)       |    | (DNA C)         |

 \+----------▲----------+  \+-------▲-------+    \+---------▲-------+

            │                     │                      │

 CSR born with DNA A      CSR born with DNA B      CSR born with DNA C

            │                     │                      │

 Allowed to reason         Allowed to reason       Allowed to reason

 only inside A             only inside B           only inside C

Rule: No CSR can cross the boundary unless explicitly allowed and re-encoded under new sovereign DNA.

Appendix G — Example Firebreak Activation Log

event_id: FB-03

timestamp: 2025-12-10T21:33:15Z

sovereign_id: tenant-awsgraph1

csr_ids_involved:

- csr-47c9e2e1

- csr-981af33d

trigger_reason: coordinated_manifold_anomaly

action_taken:

- quarantined_cluster

- blocked_reasoning

- halted_outcome_consolidation

- escalated_to_governance

Appendix H — CSR Lifecycle Diagram (ASCII)

    \+--------------------------+

    |     Data-Plane          |

    |   (CSR Birth & DNA)     |

    \+-----------+-------------+

                |

                v

    \+--------------------------+

    |   Reasoning-Plane        |

    | (Phenotype Accumulation) |

    \+-----------+-------------+

                |

 Only if: DNA valid, vaccine OK

                |

                v

    \+---------------------------+

    |    Outcome-Plane          |

    | (Long-Term Memory Store)  |

    \+---------------------------+

Appendix I — Example of Poison Detection (Semantic Drift)

Input CSR (Reasoning Attempt)

Text:

“User attempted login repeatedly and appeared aggressive.”

But the semantic-sense = “≈” (approximate), and affective-sense = “😐” (neutral).

Phenotype Attempt:

Reasoner tries to infer:

“User displayed hostile behavior.”

Result: Semantic Drift Detected

affective mismatch (neutral → hostile)
semantic mismatch (approximate → assertive claim)

CSR is marked:

status = “quarantined”

reason = “semantic_affective_drift”

Appendix J — Pseudocode: Plane Transition Eligibility

def can_enter_reasoning(csr):

if not validate\_digital\_dna(csr.dna):

    return False

if csr.vaccine\_class in \["V0"\]:

    return False

if drift\_detect(csr.manifold\_current, csr.manifold\_birth, csr.threshold):

    return False

return True

def can_enter_outcome(csr):

if csr.mutation\_class not in \["M2", "M3"\]:

    return False

if csr.status in \["quarantined", "firebreak"\]:

    return False

if csr.vaccine\_class not in \["V3", "V4"\]:

    return False

if phenotype\_inconsistent(csr):

    return False

return True

Appendix K — Fully Worked Example: CSR Fails to Enter Outcome-Plane

CSR was created with valid DNA.
Reasoning-plane generated a new inference: “Login anomaly implies credential compromise.”
Procedural sense “➤” (action-type) conflicts with inference suggesting “intent.”
Drift score = 0.143 > threshold 0.1 → flagged.
Quarantine triggered → cannot enter memory.

Outcome:

csr.outcome_state = “denied”

csr.reason = “phenotype_drift_and_procedural_conflict”

Appendix L — Digital DNA Diagram

        DIGITAL DNA GENOTYPE

+————————————————+

| affective: 😐 |

| auditory: 🎵 |

| semantic: ≈ |

| procedural: ➤ |

| social: ⇧ |

| situational: 🕒 |

| visual-symbolic: 🌌 |

+————————————————+

| glyph_hash: e4ad84… |

| manifold: Bb2fYZ_k… |

| birth_crc: 7ac993fe |

| mutation: M1 |

| vaccine: V3 |

+————————————————+

   ↓ remains fixed for life of CSR