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TG-CIR-IMP

Canonical Invariant Registry Implementation

Part 10 — Implementation

NOTE: Continued from the document "Canonical Invariant Registry"

168. Purpose

This part defines the implementation model for the Canonical Invariant Registry.

It covers:

SQL registries;
invariant definitions;
invariant bindings;
invariant validation mappings;
registry APIs;
telemetry relationships;
replay relationships;
governance relationships.

169. Core Tables

The Canonical Invariant Registry is implemented through three primary ZAR tables:

Table	Purpose
`zar.invariant_registry`	Stores canonical invariant definitions.
`zar.invariant_binding`	Maps invariants to specifications, modules, engines, artifacts, and scopes.
`zar.invariant_validation`	Maps invariants to validation rules, EIDs, MEIDs, CMIs, telemetry, and enforcement mechanisms.

170. SQL — `zar.invariant_registry`

create table if not exists zar.invariant_registry (
    invid text primary key, -- INVID-ZYZ-000001

    alias text not null,
    title text not null,
    description text not null,

    primary_domain text not null,
    categories text[] not null default '{}',
    severity text not null default 'medium',

    owning_specification text,
    owning_chapter text,
    owner_domain text,
    owner_email text,

    enforcement_level text not null default 'conditional',

    design_enforceable boolean not null default true,
    build_enforceable boolean not null default false,
    runtime_enforceable boolean not null default false,
    replay_enforceable boolean not null default false,
    federation_enforceable boolean not null default false,
    dal_enforceable boolean not null default false,
    ai_enforceable boolean not null default false,
    manual_enforceable boolean not null default true,

    status text not null default 'draft',
    version text not null default '1.0.0',

    introduced_version text,
    deprecated_version text,
    supersedes_invid text,
    superseded_by_invid text,

    immutable_semantics boolean not null default true,
    machine_readable boolean not null default true,
    public_visible boolean not null default false,

    source_doc_id text,
    source_file text,
    source_anchor text,

    approved_by text,
    approved_at timestamptz,

    notes text,
    metadata jsonb not null default '{}'::jsonb,

    created_at timestamptz not null default now(),
    updated_at timestamptz not null default now(),

    constraint invariant_registry_alias_unique unique(alias),

    constraint invariant_registry_severity_chk
        check (severity in ('critical', 'high', 'medium', 'low', 'informational')),

    constraint invariant_registry_enforcement_level_chk
        check (enforcement_level in ('mandatory', 'conditional', 'advisory', 'informational')),

    constraint invariant_registry_status_chk
        check (status in ('draft', 'proposed', 'approved', 'active', 'deprecated', 'retired', 'superseded', 'rejected'))
);

171. SQL — `zar.invariant_binding`

create table if not exists zar.invariant_binding (
    binding_id uuid primary key default gen_random_uuid(),

    invid text not null references zar.invariant_registry(invid),

    binding_type text not null,
    binding_ref text not null,
    binding_name text,

    module_code text,
    eid text,
    meid text,
    cmi text,

    artifact_type text,
    artifact_identifier text,

    framework text,
    enforcement_scope text[] not null default '{}',

    applicability text not null default 'applies',
    required boolean not null default true,

    status text not null default 'active',
    version text not null default '1.0.0',

    notes text,
    metadata jsonb not null default '{}'::jsonb,

    created_at timestamptz not null default now(),
    updated_at timestamptz not null default now(),

    constraint invariant_binding_type_chk
        check (binding_type in (
            'specification',
            'module',
            'engine',
            'micro_engine',
            'cmi',
            'artifact_type',
            'artifact_instance',
            'framework',
            'policy',
            'configuration',
            'registry',
            'table',
            'api',
            'workflow'
        )),

    constraint invariant_binding_applicability_chk
        check (applicability in ('applies', 'excludes', 'conditional', 'advisory')),

    constraint invariant_binding_status_chk
        check (status in ('active', 'deprecated', 'retired', 'rejected'))
);

create index if not exists idx_invariant_binding_invid
on zar.invariant_binding(invid);

create index if not exists idx_invariant_binding_type_ref
on zar.invariant_binding(binding_type, binding_ref);

create index if not exists idx_invariant_binding_eid
on zar.invariant_binding(eid);

create index if not exists idx_invariant_binding_meid
on zar.invariant_binding(meid);

create index if not exists idx_invariant_binding_artifact_type
on zar.invariant_binding(artifact_type);

172. SQL — `zar.invariant_validation`

create table if not exists zar.invariant_validation (
    validation_binding_id uuid primary key default gen_random_uuid(),

    invid text not null references zar.invariant_registry(invid),

    validation_rule_id text,
    validation_rule_alias text,

    eid text,
    meid text,
    cmi text,

    enforcement_scope text not null,
    enforcement_level text not null default 'conditional',

    telemetry_event_type text,
    telemetry_table text default 'trustgate_telemetry_event',

    replay_required boolean not null default false,
    dal_anchor_required boolean not null default false,
    federation_required boolean not null default false,
    ai_feedback_allowed boolean not null default true,

    failure_policy text not null default 'warn',

    status text not null default 'active',
    version text not null default '1.0.0',

    notes text,
    metadata jsonb not null default '{}'::jsonb,

    created_at timestamptz not null default now(),
    updated_at timestamptz not null default now(),

    constraint invariant_validation_scope_chk
        check (enforcement_scope in (
            'design',
            'build',
            'ingestion',
            'validation',
            'computation',
            'runtime',
            'replay',
            'federation',
            'dal',
            'ai',
            'manual'
        )),

    constraint invariant_validation_level_chk
        check (enforcement_level in ('mandatory', 'conditional', 'advisory', 'informational')),

    constraint invariant_validation_failure_policy_chk
        check (failure_policy in (
            'continue',
            'warn',
            'retry',
            'quarantine',
            'reject',
            'escalate',
            'federation_hold',
            'dal_hold',
            'manual_review'
        )),

    constraint invariant_validation_status_chk
        check (status in ('active', 'deprecated', 'retired', 'rejected'))
);

create index if not exists idx_invariant_validation_invid
on zar.invariant_validation(invid);

create index if not exists idx_invariant_validation_rule
on zar.invariant_validation(validation_rule_id);

create index if not exists idx_invariant_validation_eid
on zar.invariant_validation(eid);

create index if not exists idx_invariant_validation_meid
on zar.invariant_validation(meid);

create index if not exists idx_invariant_validation_scope
on zar.invariant_validation(enforcement_scope);

173. SQL — Recommended Domain Registry

create table if not exists zar.invariant_domain (
    domain_code text primary key,
    canonical_name text not null,
    description text,
    owner_domain text,
    sort_order integer,
    status text not null default 'active',
    version text not null default '1.0.0',
    created_at timestamptz not null default now(),
    updated_at timestamptz not null default now()
);

insert into zar.invariant_domain
(domain_code, canonical_name, sort_order)
values
('identity', 'Identity', 10),
('semantic', 'Semantic', 20),
('runtime', 'Runtime', 30),
('trust', 'Trust', 40),
('validation', 'Validation', 50),
('replay', 'Replay', 60),
('federation', 'Federation', 70),
('dal', 'Digital Assurance Ledger', 80),
('ai', 'Artificial Intelligence', 90),
('security', 'Security', 100),
('governance', 'Governance', 110),
('operations', 'Operations', 120),
('compliance', 'Compliance', 130)
on conflict (domain_code) do update set
canonical_name = excluded.canonical_name,
sort_order = excluded.sort_order,
updated_at = now();

174. SQL — Recommended Category Registry

create table if not exists zar.invariant_category (
    category_code text primary key,
    canonical_name text not null,
    description text,
    sort_order integer,
    status text not null default 'active',
    version text not null default '1.0.0',
    created_at timestamptz not null default now(),
    updated_at timestamptz not null default now()
);

insert into zar.invariant_category
(category_code, canonical_name, sort_order)
values
('identity', 'Identity', 10),
('immutability', 'Immutability', 20),
('consistency', 'Consistency', 30),
('completeness', 'Completeness', 40),
('referential_integrity', 'Referential Integrity', 50),
('lifecycle', 'Lifecycle', 60),
('ordering', 'Ordering', 70),
('determinism', 'Determinism', 80),
('integrity', 'Integrity', 90),
('security', 'Security', 100),
('performance', 'Performance', 110),
('explainability', 'Explainability', 120),
('federation', 'Federation', 130),
('replay', 'Replay', 140),
('ai', 'Artificial Intelligence', 150)
on conflict (category_code) do update set
canonical_name = excluded.canonical_name,
sort_order = excluded.sort_order,
updated_at = now();

175. API — Resolve Invariant

GET /api/zar/invariants/{invid}

Example:

GET /api/zar/invariants/INVID-ZYZ-000001

Response:

{
  "invid": "INVID-ZYZ-000001",
  "alias": "TM-001",
  "title": "Every Trust Object shall possess exactly one immutable TOID.",
  "primary_domain": "trust",
  "categories": ["identity", "immutability"],
  "severity": "critical",
  "status": "active",
  "version": "1.0.0"
}

176. API — Resolve by Alias

GET /api/zar/invariants/alias/{alias}

Example:

GET /api/zar/invariants/alias/TM-001

This endpoint is useful for documentation, Docusaurus pages, developer tools, and AI explanation.

177. API — Find Applicable Invariants

POST /api/zar/invariants/find-applicable

Request:

{
  "artifact_type": "trust_object",
  "eid": "EID-TRUSTGATE",
  "meid": "MEID_VALIDATE_TRUST_OBJECT",
  "scope": "runtime"
}

Response:

{
  "applicable_invariants": [
    {
      "invid": "INVID-ZYZ-000001",
      "alias": "TM-001",
      "severity": "critical",
      "enforcement_level": "mandatory"
    }
  ]
}

178. API — Register Invariant Evaluation

POST /api/zar/invariants/evaluations

Request:

{
  "invid": "INVID-ZYZ-000001",
  "alias": "TM-001",
  "validation_rule_id": "TG-VAL-0411",
  "eid": "EID-TRUSTGATE",
  "meid": "MEID_VALIDATE_TRUST_OBJECT",
  "cmi": "vera.TG-TRUST.ENGINE.OBJECT-VALIDATOR.1_0_0",
  "artifact_type": "trust_object",
  "artifact_identifier": "TOID-ZYZ-000014",
  "result": "satisfied",
  "telemetry_event_id": "00000000-0000-0000-0000-000000000000",
  "policy_version": "1.0.0"
}

Response:

{
  "status": "recorded",
  "invid": "INVID-ZYZ-000001",
  "result": "satisfied"
}

179. Relationship to Telemetry

Invariant evaluation events should be emitted to trustgate_telemetry_event.

The telemetry event should include:

{
  "event_type": "invariant.evaluated",
  "invid": "INVID-ZYZ-000001",
  "alias": "TM-001",
  "validation_rule_id": "TG-VAL-0411",
  "eid": "EID-TRUSTGATE",
  "meid": "MEID_VALIDATE_TRUST_OBJECT",
  "artifact_identifier": "TOID-ZYZ-000014",
  "result": "satisfied",
  "severity": "critical"
}

Telemetry is the operational proof that invariant enforcement occurred.

180. Relationship to Replay

Replay shall resolve invariant definitions by:

invid;
invariant version;
validation rule version;
runtime configuration snapshot;
EID;
MEID;
CMI;
telemetry evidence.

Historical replay shall not use current invariant metadata unless explicitly executed as a policy simulation.

181. Relationship to DAL

Critical invariant evaluations may be DAL-anchor eligible.

DAL anchoring should be considered when:

the invariant is critical;
the evaluation supports trust attestation;
the evaluation supports federation;
the evaluation supports regulatory evidence;
the evaluation is replay-critical.

182. Relationship to AI

DSAIL may consume:

invariant definitions;
invariant violations;
validation rule mappings;
telemetry evidence;
replay outcomes;
enforcement metadata.

AI shall treat invariant definitions as read-only constitutional truth.

183. Registry Governance

Write access to CIR shall be restricted.

Only approved governance workflows may:

create invariants;
approve invariants;
activate invariants;
deprecate invariants;
retire invariants;
modify enforcement metadata.

Runtime systems may read invariant metadata and write evaluation telemetry but shall not modify canonical invariant definitions.

184. Implementation Summary

The CIR implementation provides a complete bridge from architecture to runtime evidence.

zar.invariant_registry
        │
        ▼
zar.invariant_binding
        │
        ▼
zar.invariant_validation
        │
        ▼
trustgate_telemetry_event
        │
        ▼
Replay
        │
        ▼
DAL
        │
        ▼
DSAIL

This makes invariants:

searchable;
enforceable;
replayable;
auditable;
explainable;
federatable;
AI-readable.

Part 11 — Conformance Levels

185. Purpose

Conformance Levels define the degree to which an implementation satisfies the Canonical Invariant Registry.

CIR conformance is not limited to documentation.

A conformant implementation shall demonstrate that invariants are:

registered;
governed;
versioned;
bound to specifications;
mapped to validation rules;
enforced where required;
observable through telemetry;
replayable;
explainable;
auditable.

Conformance Levels provide a structured maturity model for platform implementations, modules, engines, micro-engines, federation participants, and AI subsystems.

186. Conformance Philosophy

The Canonical Invariant Registry defines architectural truth.

Conformance measures whether an implementation preserves that truth.

An implementation may be technically functional but non-conformant if it violates canonical invariants, bypasses governance, omits telemetry, breaks replay, or fails to preserve lineage.

Conformance therefore evaluates architectural behaviour, not only feature completeness.

187. Conformance Scope

CIR conformance may apply to:

full ZAYAZ platform deployments;
individual modules;
major engines identified by EID;
micro-engines identified by MEID;
registries;
APIs;
replay systems;
federation endpoints;
AI systems;
database schemas;
external integrations.

Each claim of conformance shall define its scope explicitly.

188. Conformance Levels Overview

CIR defines five conformance levels.

Level	Name	Meaning
0	Documentary	Invariants are documented but not machine-governed.
1	Registry	Invariants are registered and governed.
2	Runtime	Invariants are enforceable during runtime.
3	Replay & Assurance	Invariants are replayable and assurance-grade.
4	Federation & AI	Invariants support federation, DAL, and AI explainability.

Each level includes all requirements of the previous level.

189. Level 0 — Documentary Conformance

Level 0 indicates that invariants are documented in specifications.

Requirements:

invariants are written in normative language;
aliases are assigned;
owning specification is known;
invariant meaning is understandable;
implementation impact is described.

Limitations:

no canonical INVID required;
no registry entry required;
no runtime enforcement required;
no replay requirement.

Level 0 is useful for early architecture drafts but is not sufficient for production governance.

190. Level 1 — Registry Conformance

Level 1 indicates that invariants are registered as governed canonical artifacts.

Requirements:

every invariant has an INVID;
every invariant has an alias;
every invariant exists in zar.invariant_registry;
lifecycle state is recorded;
severity is recorded;
domain and category are recorded;
owning specification is recorded;
version is recorded;
owner is recorded.

Level 1 establishes machine-readable governance.

191. Level 2 — Runtime Conformance

Level 2 indicates that invariants can be enforced during runtime.

Requirements:

applicable invariants are bound through zar.invariant_binding;
enforcement mappings exist in zar.invariant_validation;
validation rules reference relevant INVIDs;
runtime systems can resolve applicable invariants;
EID and MEID references are recorded where applicable;
runtime evaluations produce telemetry;
violations generate deterministic outcomes.

Level 2 establishes executable governance.

192. Level 3 — Replay & Assurance Conformance

Level 3 indicates that invariant evaluation is replayable and assurance-grade.

Requirements:

historical invariant versions are preserved;
historical validation rule versions are preserved;
runtime configuration snapshots are preserved;
replay can reconstruct invariant context;
replay outcomes reference INVIDs;
invariant evaluation evidence is immutable;
assurance outcomes are reproducible;
DAL anchoring is supported where required.

Level 3 establishes audit-grade assurance.

193. Level 4 — Federation & AI Conformance

Level 4 indicates that invariant evidence can support cross-ECO trust exchange and AI explainability.

Requirements:

invariant satisfaction can be represented in federation packages;
federation-visible invariants are explicitly marked;
receiving systems can interpret INVID references;
DSAIL can consume invariant metadata and outcomes;
AI recommendations reference supporting invariants;
AI cannot modify invariant definitions;
DAL anchors can support invariant evidence;
explainability reports include invariant lineage.

Level 4 establishes ecosystem-grade governance.

194. Conformance Matrix

Capability	Level 0	Level 1	Level 2	Level 3	Level 4
Documented invariant	Yes	Yes	Yes	Yes	Yes
INVID assigned	No	Yes	Yes	Yes	Yes
Registered in ZAR	No	Yes	Yes	Yes	Yes
Lifecycle governed	No	Yes	Yes	Yes	Yes
Bound to artifacts	No	Optional	Yes	Yes	Yes
Runtime enforcement	No	No	Yes	Yes	Yes
Telemetry evidence	No	No	Yes	Yes	Yes
Replay support	No	No	Optional	Yes	Yes
DAL support	No	No	Optional	Conditional	Yes
Federation support	No	No	No	Optional	Yes
AI explainability	No	No	Optional	Optional	Yes

195. Engine-Level Conformance

Major engines identified by EID may claim CIR conformance.

Example:

EID-TRUSTGATE
Conformance: Level 4
Scope: Trust evaluation, replay, federation, AI explainability

Engine-level conformance requires:

applicable invariants are registered;
engine responsibilities are bound;
runtime enforcement exists where required;
telemetry is emitted;
replay support exists for critical invariants.

196. Micro-Engine-Level Conformance

Micro-engines identified by MEID may claim conformance for their specific enforcement responsibilities.

Example:

MEID_VALIDATE_TRUST_OBJECT
Conformance: Level 3
Scope: TOID identity and immutability invariants

Micro-engine conformance requires:

mapped validation rules;
deterministic execution;
telemetry output;
replay compatibility;
versioned CMI implementation.

197. Registry-Level Conformance

A registry may claim conformance if it preserves invariant requirements relevant to its artifact type.

Example:

zar.trust_vector_registry
Conformance: Level 3
Applies to: TVID invariants

Registry-level conformance requires:

canonical identifiers;
lifecycle metadata;
immutability rules;
auditability;
replay compatibility.

198. Federation Conformance

Federation conformance applies to systems exchanging invariant-backed assurance artifacts across ECO boundaries.

Requirements:

federation packages reference INVIDs;
federation profiles declare supported invariant domains;
revocation preserves invariant lineage;
received invariant evidence is not altered;
local systems may derive new trust while preserving originating evidence.

199. AI Conformance

AI conformance applies to DSAIL and AI-assisted assurance systems.

Requirements:

AI recommendations reference source invariants;
AI outputs distinguish evidence from inference;
model lineage is preserved;
invariant definitions remain read-only;
generated TG-INTEL references source INVIDs where relevant;
explainability includes invariant context.

200. Conformance Evidence

Conformance evidence may include:

registry records;
invariant bindings;
validation mappings;
telemetry events;
replay results;
DAL anchors;
federation packages;
AI explainability reports;
audit logs;
governance approvals.

Evidence shall be reproducible and traceable.

201. Conformance Testing

Conformance testing may evaluate:

registry completeness;
identifier uniqueness;
lifecycle consistency;
binding correctness;
validation rule coverage;
runtime enforcement;
replay determinism;
telemetry completeness;
AI explainability;
federation interoperability.

Testing should itself produce CIR-linked telemetry.

202. Non-Conformance

Non-conformance occurs when an implementation:

violates an active mandatory invariant;
lacks required registry records;
omits required telemetry;
fails replay for replay-critical invariants;
modifies historical invariant evidence;
permits AI to alter canonical invariant definitions;
exchanges federation evidence without required invariant lineage.

Non-conformance shall be recorded and escalated according to governance policy.

203. Conformance Claims

A conformance claim shall include:

claimed level;
scope;
applicable modules;
applicable EIDs;
applicable MEIDs;
evaluated invariant set;
evidence references;
evaluation date;
evaluator;
limitations;
expiry or review date.

Example:

conformance_claim:
  level: 3
  scope: TrustGate replay assurance
  eid: EID-TRUSTGATE
  invariant_set:
    - INVID-ZYZ-000001
    - INVID-ZYZ-000002
    - INVID-ZYZ-000003
  evidence:
    telemetry_batch: TGEV-BATCH-2026-06-30-001
    replay_result: RID-ZYZ-000418

204. Conformance Invariants

The conformance model is itself governed by invariants.

CIR-CONF-001

Every conformance claim shall define its scope.

CIR-CONF-002

Every Level 1 or higher conformance claim shall reference registered INVIDs.

CIR-CONF-003

Every Level 2 or higher conformance claim shall include runtime enforcement evidence.

CIR-CONF-004

Every Level 3 or higher conformance claim shall include replay evidence.

CIR-CONF-005

Every Level 4 conformance claim shall include federation or AI explainability evidence, where applicable.

CIR-CONF-006

Conformance claims shall be auditable.

205. Summary - 11. Conformance Levels

Conformance Levels provide a structured maturity model for implementing the Canonical Invariant Registry.

They allow ZAYAZ to distinguish between documented principles, governed invariants, runtime enforcement, replay-grade assurance, and ecosystem-level federation and AI explainability.

This transforms CIR from a registry into a measurable assurance framework for platform correctness.

Part 12 — Appendices & Reference Invariants

206. Purpose

This appendix provides the canonical reference material for implementing, governing, and enforcing invariants throughout the ZAYAZ platform.

It serves as the normative reference for architects, developers, governance bodies, auditors, and AI systems by defining example invariants, identifier formats, naming conventions, severity levels, lifecycle states, enforcement scopes, and cross-specification mappings.

Unless explicitly stated otherwise, the examples in this appendix are illustrative and may be adapted by individual specifications while preserving the constitutional principles defined by the Canonical Invariant Registry.

APPENDIX A — Canonical Identifier Format

Every invariant shall possess a globally unique Canonical Invariant Identifier (INVID).

Format:

INVID-ZYZ-000001

Structure:

Segment	Meaning
INVID	Canonical Invariant Identifier
ZYZ	Platform namespace
000001	Sequential immutable identifier

Identifiers are:

globally unique;
immutable;
never reused;
version-independent;
machine-readable.

APPENDIX B — Alias Convention

Human-readable aliases provide stable references within specifications.

Examples:

TM-001
TM-014
TG-001
AI-021
RP-003
FED-017
DAL-004

Aliases:

are specification-local;
remain stable whenever possible;
may evolve through supersession;
always resolve to an INVID.

The INVID remains the authoritative identifier.

APPENDIX C — Reference Severity Levels

Severity	Meaning
Critical	Violation compromises architectural correctness or trust.
High	Significant governance or operational impact.
Medium	Material implementation issue requiring remediation.
Low	Minor deviation with limited impact.
Informational	Guidance or recommended practice.

Severity reflects architectural impact rather than implementation effort.

APPENDIX D — Reference Enforcement Levels

Level	Meaning
Mandatory	Shall always be enforced.
Conditional	Enforced under defined conditions.
Advisory	Recommended but not required.
Informational	Descriptive only.

Enforcement level is independent of severity.

APPENDIX E — Reference Lifecycle States

Canonical lifecycle states:

Draft
    │
    ▼
Proposed
    │
    ▼
Approved
    │
    ▼
Active
    │
    ├────────────┐
    ▼            ▼
Deprecated   Superseded
    │            │
    └──────┬─────┘
           ▼
        Retired

Historical records shall always be preserved.

APPENDIX F — Reference Enforcement Scopes

Canonical enforcement scopes include:

Scope	Description
Design	Architecture and specifications
Build	Code generation and CI/CD
Runtime	Live execution
Validation	Validation engines
Replay	Replay execution
Federation	Cross-ECO exchange
DAL	Ledger anchoring
AI	AI governance
Manual	Human review

An invariant may apply to multiple scopes simultaneously.

APPENDIX G — Example Invariants

Identity

INVID-ZYZ-000001

Alias:
TM-001

Rule:
Every Trust Object shall possess exactly one immutable TOID.

Runtime

INVID-ZYZ-000044

Alias:
RT-005

Rule:
Every runtime execution shall emit telemetry.

Replay

INVID-ZYZ-000091

Alias:
RP-002

Rule:
Replay shall resolve historical validation rule versions.

Federation

INVID-ZYZ-000131

Alias:
FED-004

Rule:
Federated evidence shall preserve originating lineage.

INVID-ZYZ-000181

Alias:
AI-002

Rule:
AI shall never modify canonical invariant definitions.

Appendix H — Cross-Specification Mapping

Specification	Relationship
CIA	Canonical identifiers
CSI Catalog	Signal semantics
Signal Catalog	Signal governance
Validation Rule Registry	Executable enforcement
TrustGate MIB	Runtime architecture
Replay Specification	Deterministic replay
Federation Profiles	Cross-ECO interoperability
Trust Model	Trust invariants
Scheduler	Execution ordering
Runtime Configuration	Historical configuration
DSAIL	AI consumption of invariant evidence

CIR provides the constitutional layer that unifies these specifications.

Appendix I — Reference SQL Objects

Primary tables:

zar.invariant_registry
zar.invariant_binding
zar.invariant_validation
zar.invariant_domain
zar.invariant_category

Supporting operational tables may include:

trustgate_telemetry_event
trust_replay_registry
trust_object_registry
trust_vector_registry
trust_intelligence_registry
trust_operational_flag

Appendix J — Recommended API Endpoints

Recommended REST endpoints include:

GET  /api/zar/invariants/{invid}

GET  /api/zar/invariants/alias/{alias}

POST /api/zar/invariants/find-applicable

POST /api/zar/invariants/evaluations

GET  /api/zar/invariants/domains

GET  /api/zar/invariants/categories

GET  /api/zar/invariants/conformance

GET  /api/zar/invariants/history/{invid}

Appendix K — Recommended Naming Conventions

The following prefixes are reserved.

Prefix	Meaning
INVID	Canonical Invariant Identifier
TM	Trust Model invariant
TG	TrustGate invariant
RT	Runtime invariant
RP	Replay invariant
FED	Federation invariant
DAL	Digital Assurance Ledger invariant
AI	Artificial Intelligence invariant
GOV	Governance invariant
SEC	Security invariant

Future specifications should reuse these prefixes where applicable.

Appendix L — Canonical Relationships

Specification
       │
       ▼
Invariant (INVID)
       │
       ▼
Validation Rule
       │
       ▼
Engine (EID)
       │
       ▼
Micro-Engine (MEID)
       │
       ▼
CMI
       │
       ▼
CSI
       │
       ▼
USO Instance
       │
       ▼
Telemetry
       │
       ▼
Replay
       │
       ▼
Trust
       │
       ▼
DAL
       │
       ▼
Federation
       │
       ▼
TG-INTEL
       │
       ▼
DSAIL

This relationship diagram illustrates how canonical invariants connect the architectural, operational, and intelligence layers of the ZAYAZ platform.

207. Document Summary

The Canonical Invariant Registry establishes the constitutional rules governing correctness across the ZAYAZ platform.

By defining immutable identifiers, structured lifecycle management, runtime enforcement, replay support, federation interoperability, AI explainability, and conformance levels, the CIR provides a single authoritative source for architectural invariants.

Together with the Canonical Identifier Architecture (CIA), TrustGate specifications, Validation Rule Registry, CSI Catalog, and Trust Model, the CIR forms a foundational element of ZAYAZ's governance and assurance framework, ensuring that every architectural rule can be uniquely identified, consistently enforced, fully traced, deterministically replayed, and transparently explained.

GitHub Repo Request for Change (RFC)

Part 10 — Implementation

168. Purpose​

169. Core Tables​

170. SQL — zar.invariant_registry​

171. SQL — zar.invariant_binding​

172. SQL — zar.invariant_validation​

173. SQL — Recommended Domain Registry​

174. SQL — Recommended Category Registry​

175. API — Resolve Invariant​

176. API — Resolve by Alias​

177. API — Find Applicable Invariants​

178. API — Register Invariant Evaluation​

179. Relationship to Telemetry​

180. Relationship to Replay​

181. Relationship to DAL​

182. Relationship to AI​

183. Registry Governance​

184. Implementation Summary​

Part 11 — Conformance Levels

185. Purpose​

186. Conformance Philosophy​

187. Conformance Scope​

188. Conformance Levels Overview​

189. Level 0 — Documentary Conformance​

190. Level 1 — Registry Conformance​

191. Level 2 — Runtime Conformance​

192. Level 3 — Replay & Assurance Conformance​

193. Level 4 — Federation & AI Conformance​

194. Conformance Matrix​

195. Engine-Level Conformance​

196. Micro-Engine-Level Conformance​

197. Registry-Level Conformance​

198. Federation Conformance​

199. AI Conformance​

200. Conformance Evidence​

201. Conformance Testing​

202. Non-Conformance​

203. Conformance Claims​

204. Conformance Invariants​

205. Summary - 11. Conformance Levels​

Part 12 — Appendices & Reference Invariants

206. Purpose​

APPENDIX A — Canonical Identifier Format​

APPENDIX B — Alias Convention​

APPENDIX C — Reference Severity Levels​

APPENDIX D — Reference Enforcement Levels​

APPENDIX E — Reference Lifecycle States​

APPENDIX F — Reference Enforcement Scopes​

APPENDIX G — Example Invariants​

Appendix H — Cross-Specification Mapping

Appendix I — Reference SQL Objects

Appendix J — Recommended API Endpoints

Appendix K — Recommended Naming Conventions

Appendix L — Canonical Relationships

207. Document Summary​

168. Purpose

169. Core Tables

170. SQL — `zar.invariant_registry`

171. SQL — `zar.invariant_binding`

172. SQL — `zar.invariant_validation`

173. SQL — Recommended Domain Registry

174. SQL — Recommended Category Registry

175. API — Resolve Invariant

176. API — Resolve by Alias

177. API — Find Applicable Invariants

178. API — Register Invariant Evaluation

179. Relationship to Telemetry

180. Relationship to Replay

181. Relationship to DAL

182. Relationship to AI

183. Registry Governance

184. Implementation Summary

185. Purpose

186. Conformance Philosophy

187. Conformance Scope

188. Conformance Levels Overview

189. Level 0 — Documentary Conformance

190. Level 1 — Registry Conformance

191. Level 2 — Runtime Conformance

192. Level 3 — Replay & Assurance Conformance

193. Level 4 — Federation & AI Conformance

194. Conformance Matrix

195. Engine-Level Conformance

196. Micro-Engine-Level Conformance

197. Registry-Level Conformance

198. Federation Conformance

199. AI Conformance

200. Conformance Evidence

201. Conformance Testing

202. Non-Conformance

203. Conformance Claims

204. Conformance Invariants

205. Summary - 11. Conformance Levels

206. Purpose

APPENDIX A — Canonical Identifier Format

APPENDIX B — Alias Convention

APPENDIX C — Reference Severity Levels

APPENDIX D — Reference Enforcement Levels

APPENDIX E — Reference Lifecycle States

APPENDIX F — Reference Enforcement Scopes

APPENDIX G — Example Invariants

207. Document Summary