TG-SR
TrustGate Scoring Rubric
Part 1 — Constitutional Scoring
1.1. Purpose
The TrustGate Scoring Rubric defines the constitutional principles governing quality assessment throughout the ZAYAZ ecosystem.
Its purpose is to provide a deterministic, explainable, replayable, and implementation-independent method for evaluating constitutional artifacts, execution results, trust assessments, governance outcomes, and intelligence products.
Rather than assigning arbitrary ratings, the Scoring Rubric produces constitutional evidence describing the quality, completeness, trustworthiness, and maturity of an artifact.
The Scoring Rubric is applicable across all constitutional domains including validation, trust, attestation, replay, federation, artificial intelligence, governance, persistence, and future platform capabilities.
1.2. Constitutional Philosophy
Constitutional Scoring is founded on a simple principle:
Every constitutional artifact shall be measurable using transparent, reproducible and explainable criteria.
Scoring does not replace validation.
Scoring does not replace trust.
Scoring does not replace governance.
Instead, scoring provides a constitutional assessment of how well an artifact satisfies the constitutional expectations defined throughout the platform.
Scores shall always be supported by evidence.
1.3. Constitutional Objectives
The Scoring Rubric pursues the following objectives:
- provide objective quality assessment;
- enable deterministic scoring;
- support explainable AI;
- enable constitutional benchmarking;
- assist governance decisions;
- improve operational quality;
- measure constitutional maturity;
- support certification;
- support continuous improvement.
Scoring shall never replace human judgement where constitutional oversight is required.
1.4. Constitutional Scoring Principles
Every constitutional score shall satisfy the following principles.
Deterministic
Equivalent constitutional artifacts shall produce equivalent scores.
Explainable
Every score shall be traceable to its contributing factors.
Evidence-Based
Scores shall only be derived from constitutional evidence.
Replayable
Scores shall be reproducible through Replay.
Independent
Scores shall not depend on implementation technology.
Transparent
Score calculations shall be inspectable.
Extensible
New scoring dimensions may be introduced without changing existing constitutional semantics.
1.5. Constitutional Scope
The Scoring Rubric applies to every constitutional artifact produced within ZAYAZ.
Representative scoring domains include:
| Domain | Example Objects |
|---|---|
| Validation | Validation Results, Rule Sets |
| Trust | Trust Objects, Trust Vectors |
| Assurance | Attestations, Assurance Bundles |
| Replay | Replay Artifacts |
| Federation | Exchange Packages, Synchronization |
| AI | Recommendations, Models |
| Governance | Policies, Decisions |
| Security | Constitutional Security Artifacts |
| Persistence | Canonical Records |
| Runtime | Execution Pipelines |
Future constitutional domains may extend the scoring model.
1.6. Constitutional Score Artifact
Every scoring operation produces a Constitutional Score (CSCORE).
A Constitutional Score is itself a constitutional artifact.
Representative properties include:
- immutable identity;
- scoring timestamp;
- scoring profile;
- contributing dimensions;
- evidence references;
- confidence;
- replay references;
- provenance;
- lifecycle state.
The Constitutional Score participates in replay, federation, persistence, governance, and intelligence exactly like every other constitutional artifact.
1.7. Constitutional Scoring Lifecycle
Every Constitutional Score progresses through the following lifecycle.
Requested
↓
Calculated
↓
Verified
↓
Published
↓
Referenced
↓
Replayed
↓
Archived
Historical scores remain immutable.
1.8. Constitutional Relationships
The Scoring Rubric integrates with the wider constitutional architecture.
Validation
│
▼
Trust
│
▼
Attestation
│
▼
Replay
│
▼
Federation
│
▼
AI
│
▼
Governance
│
▼
Constitutional Score
Each constitutional domain contributes evidence to the overall assessment.
1.9. Relationship to Constitutional Frameworks
The Scoring Rubric integrates with:
| Framework | Contribution |
|---|---|
| Validation Rule Registry | Validation quality |
| Trust Model | Trust assessment |
| Attestation Catalog | Assurance evidence |
| Replay Specification | Reproducibility |
| Federation Profiles | Exchange quality |
| TG-INTEL | Intelligence assessment |
| CPA | Score persistence |
| CALM | Score lifecycle |
| CIA | Score identity |
| CIR | Identifier governance |
| DAL | Integrity verification |
The Scoring Rubric evaluates constitutional outputs without redefining their respective specifications.
1.10. Constitutional Constraints
Every constitutional scoring implementation shall satisfy the following requirements.
- Scores shall be deterministic.
- Scores shall be explainable.
- Scores shall be evidence-based.
- Scores shall be reproducible.
- Scores shall preserve provenance.
- Scores shall remain implementation independent.
- Scores shall remain replayable.
- Scores shall support constitutional governance.
These constraints are normative.
1.11. Summary
The TrustGate Scoring Rubric establishes the constitutional foundation for quality assessment across the ZAYAZ ecosystem.
By treating scoring as a first-class constitutional capability rather than a simple numerical rating, the Scoring Rubric enables deterministic, evidence-based, explainable, and replayable evaluation of constitutional artifacts. Every Constitutional Score (CSCORE) becomes an immutable artifact with its own identity, provenance, lifecycle, and governance, ensuring that quality itself is transparent, auditable, and interoperable throughout the platform.
Part 2 — Canonical Scoring Model
2.1. Purpose
The Canonical Scoring Model defines the normative framework for constitutional quality assessment within the ZAYAZ ecosystem.
It establishes a deterministic, explainable, replayable, and implementation-independent method for transforming constitutional evidence into multidimensional quality assessments.
The Canonical Scoring Model applies uniformly across all constitutional domains, including validation, trust, assurance, replay, federation, artificial intelligence, governance, and future platform capabilities.
2.2. Constitutional Scoring Philosophy
Constitutional Scoring evaluates evidence rather than opinion.
Every score shall be derived from observable constitutional facts.
Scoring shall:
- preserve provenance;
- remain deterministic;
- be independently verifiable;
- support replay;
- remain explainable;
- remain implementation independent.
Scores shall never be arbitrary.
2.3. Canonical Scoring Pipeline
Every constitutional scoring operation follows the same conceptual model.
Constitutional Evidence
│
▼
Metric Evaluation
│
▼
Dimension Scoring
│
▼
Category Aggregation
│
▼
Constitutional Score Vector (CSVEC)
│
▼
Scoring Profile
│
▼
Constitutional Score (CSCORE)
│
▼
Confidence Assessment
│
▼
Publication
Every stage is deterministic and replayable.
2.4. Canonical Scoring Components
The Canonical Scoring Model consists of the following components.
| Component | Constitutional Responsibility |
|---|---|
| Metric | Individual measurable property |
| Dimension | Related group of metrics |
| Category | Related group of dimensions |
| CSVEC | Multidimensional constitutional assessment |
| Scoring Profile | Weighting and aggregation rules |
| CSCORE | Overall constitutional assessment |
| Confidence | Reliability of the assessment |
Each component represents a distinct constitutional concept.
2.5. Metrics
Metrics represent atomic constitutional observations.
Representative metrics include:
- validation pass rate;
- rule coverage;
- evidence completeness;
- replay determinism;
- trust consistency;
- federation success;
- policy compliance;
- AI explainability.
Metrics are objective observations.
2.6. Dimensions
Metrics are grouped into scoring dimensions.
Representative dimensions include:
| Dimension | Example Metrics |
|---|---|
| Validation | Rule success, error rate |
| Trust | Trust score, evidence quality |
| Evidence | Completeness, provenance |
| Replay | Determinism, reproducibility |
| Federation | Synchronization, interoperability |
| Governance | Ownership, policy compliance |
| Security | Authentication, integrity |
| Intelligence | Explainability, confidence |
Dimensions are independently assessable.
2.7. Categories
Dimensions may be grouped into higher-level categories.
Representative categories include:
| Category | Representative Dimensions |
|---|---|
| Quality | Validation, Evidence |
| Assurance | Trust, Attestation, Replay |
| Governance | Policy, Lifecycle |
| Interoperability | Federation, Exchange |
| Intelligence | AI, Explainability |
Categories simplify high-level reporting while preserving dimensional detail.
2.8. Constitutional Score Vector (CSVEC)
The Constitutional Score Vector (CSVEC) is the canonical output of the scoring process.
A CSVEC represents a multidimensional constitutional assessment.
Example:
| Dimension | Score |
|---|---|
| Validation | 97 |
| Trust | 93 |
| Evidence | 95 |
| Replay | 100 |
| Federation | 91 |
| Governance | 94 |
| Security | 98 |
| Intelligence | 89 |
CSVEC is normative.
2.9. Constitutional Score (CSCORE)
The Constitutional Score (CSCORE) is derived from the Constitutional Score Vector using an approved Scoring Profile.
Representative outputs include:
- numerical score;
- constitutional grade;
- maturity level;
- confidence level.
The aggregation algorithm shall remain deterministic.
2.10. Confidence Assessment
Every Constitutional Score shall include an associated Confidence Assessment.
Confidence reflects the reliability of the score rather than the quality of the evaluated artifact.
Representative confidence factors include:
- evidence completeness;
- data freshness;
- validation coverage;
- trust maturity;
- replay verification;
- AI certainty.
Confidence shall always be reported independently of the score itself.
2.11. Scoring Profiles
Scoring Profiles define how Constitutional Score Vectors are interpreted.
Representative Scoring Profiles include:
- Regulatory Assurance;
- Supplier Assessment;
- Internal Governance;
- ESG Reporting;
- AI Evaluation;
- Risk Assessment.
Profiles define weighting but shall never modify underlying evidence.
2.12. Score Grades
Organizations may define constitutional grading schemes.
Representative grades include:
| Grade | Interpretation |
|---|---|
| Platinum | Exceptional constitutional quality |
| Gold | High constitutional quality |
| Silver | Good constitutional quality |
| Bronze | Acceptable constitutional quality |
| Review | Improvement recommended |
Grade mappings shall be profile-specific.
2.13. Constitutional Relationships
The Canonical Scoring Model integrates with constitutional frameworks as follows.
Evidence
↓
Metrics
↓
Dimensions
↓
Categories
↓
CSVEC
↓
Scoring Profile
↓
CSCORE
↓
Governance
↓
Replay
↓
Federation
The scoring process preserves complete constitutional lineage.
2.14. Relationship to Constitutional Frameworks
The Canonical Scoring Model integrates with:
| Framework | Contribution |
|---|---|
| Validation Rule Registry | Validation metrics |
| Trust Model | Trust metrics |
| Attestation Catalog | Assurance metrics |
| Replay Specification | Replay metrics |
| Federation Profiles | Interoperability metrics |
| TG-INTEL | Intelligence metrics |
| CALM | Score lifecycle |
| CPA | Score persistence |
| CIA | Score identity |
| CIR | Identifier governance |
| DAL | Integrity verification |
The Canonical Scoring Model consumes constitutional evidence without redefining the originating frameworks.
2.15. Constitutional Constraints
Every implementation of the Canonical Scoring Model shall satisfy the following requirements.
- Metrics shall be evidence-based.
- Dimensions shall be independently reproducible.
- Categories shall preserve dimensional meaning.
- CSVEC shall represent the canonical assessment.
- CSCORE shall be derived deterministically.
- Confidence shall be independently calculated.
- Scoring shall remain replayable.
- Scoring shall remain implementation independent.
These constraints are normative.
2.16. Summary
The Canonical Scoring Model defines the constitutional computation framework for quality assessment within the ZAYAZ ecosystem.
By transforming constitutional evidence into metrics, dimensions, categories, the Constitutional Score Vector (CSVEC), and ultimately the Constitutional Score (CSCORE), the model provides a transparent, deterministic, and explainable mechanism for evaluating constitutional artifacts. This multidimensional approach ensures that scoring reflects the richness of constitutional evidence while remaining replayable, interoperable, and suitable for governance, intelligence, and long-term architectural evolution.
Part 3 — Constitutional Dimensions
3.1. Purpose
Constitutional Dimensions define the canonical quality dimensions used to evaluate constitutional artifacts throughout the ZAYAZ ecosystem.
Dimensions provide a common constitutional vocabulary for expressing quality, trustworthiness, completeness, reproducibility, governance, and intelligence independently of implementation technology or business domain.
Every Constitutional Score Vector (CSVEC) consists of one or more Constitutional Dimensions.
3.2. Constitutional Philosophy
A constitutional score shall not be represented by a single number alone.
Instead, every assessment shall preserve its multidimensional character.
Each dimension measures one independent constitutional property.
Together, the dimensions provide a transparent and explainable assessment of constitutional quality.
3.3. Canonical Dimension Model
Each Constitutional Dimension consists of:
Dimension
│
├── Identifier
├── Name
├── Purpose
├── Metrics
├── Weight
├── Confidence
├── Evidence
├── Explanation
└── Score
Dimensions remain independently assessable.
3.4. Validation Dimension (CSD-VALID)
Purpose
Measures constitutional correctness.
Representative metrics include:
- rule pass rate;
- validation coverage;
- warning density;
- exception frequency;
- schema compliance;
- data quality.
Typical evidence:
- Validation Results;
- Validation Rules;
- Validation Reports.
3.5. Trust Dimension (CSD-TRUST)
Purpose
Measures constitutional trustworthiness.
Representative metrics include:
- Trust Object quality;
- Trust Vector maturity;
- evidence consistency;
- trust evolution;
- confidence.
Typical evidence:
- Trust Objects;
- Trust Vectors;
- Trust History.
3.6. Evidence Dimension (CSD-EVID)
Purpose
Measures evidence quality.
Representative metrics include:
- completeness;
- provenance;
- source diversity;
- evidence freshness;
- evidence integrity.
Typical evidence:
- Evidence Bundles;
- Provenance Chains;
- DAL references.
3.7. Attestation Dimension (CSD-ATTEST)
Purpose
Measures constitutional assurance.
Representative metrics include:
- attestation completeness;
- assurance quality;
- verifier confidence;
- auditor coverage;
- policy compliance.
Typical evidence:
- Attestation Catalog;
- Assurance Bundles.
3.8. Replay Dimension (CSD-REPLAY)
Purpose
Measures reproducibility.
Representative metrics include:
- replay determinism;
- replay completeness;
- replay equivalence;
- execution reproducibility;
- lineage preservation.
Typical evidence:
- Replay Artifacts;
- Replay Bundles.
3.9. Federation Dimension (CSD-FED)
Purpose
Measures constitutional interoperability.
Representative metrics include:
- exchange quality;
- synchronization quality;
- profile compatibility;
- delegation correctness;
- interoperability.
Typical evidence:
- Federation Sessions;
- Exchange Packages;
- Synchronization Events.
3.10. Governance Dimension (CSD-GOV)
Purpose
Measures constitutional governance.
Representative metrics include:
- ownership;
- lifecycle governance;
- policy compliance;
- auditability;
- retention compliance.
Typical evidence:
- Governance Policies;
- CALM;
- Audit History.
3.11. Security Dimension (CSD-SEC)
Purpose
Measures constitutional security.
Representative metrics include:
- authentication;
- authorization;
- cryptographic integrity;
- non-repudiation;
- security policy compliance.
Typical evidence:
- CAS;
- DAL;
- Security Evidence.
3.12. Intelligence Dimension (CSD-AI)
Purpose
Measures constitutional intelligence.
Representative metrics include:
- explainability;
- recommendation quality;
- learning quality;
- confidence;
- model stability;
- constitutional compliance.
Typical evidence:
- TG-INTEL;
- AI Recommendations;
- Learning Events.
3.13. Completeness Dimension (CSD-COMP)
Purpose
Measures constitutional completeness.
Representative metrics include:
- mandatory artifact coverage;
- optional artifact coverage;
- metadata completeness;
- relationship completeness;
- dependency completeness.
Typical evidence:
- Artifact Graph;
- Metadata Registry.
3.14. Integrity Dimension (CSD-INTEG)
Purpose
Measures constitutional integrity.
Representative metrics include:
- hash verification;
- anchor verification;
- immutability;
- tamper evidence;
- integrity continuity.
Typical evidence:
- DAL;
- Integrity Records.
3.15. Constitutional Score Vector
Every Constitutional Score Vector consists of one or more Constitutional Dimensions.
Example:
| Dimension | Score |
|---|---|
| Validation | 96 |
| Trust | 93 |
| Evidence | 98 |
| Attestation | 91 |
| Replay | 100 |
| Federation | 90 |
| Governance | 94 |
| Security | 99 |
| Intelligence | 88 |
| Completeness | 95 |
| Integrity | 100 |
Dimensions remain independently available.
3.16. Dimension Relationships
Metrics
↓
Dimensions
↓
CSVEC
↓
Scoring Profiles
↓
CSCORE
↓
Governance
↓
Replay
↓
Federation
Dimensions preserve constitutional explainability.
3.17. Dimension Extensibility
Organizations may introduce additional constitutional dimensions.
Examples include:
- Sustainability;
- Financial Materiality;
- Environmental Impact;
- Human Rights;
- Supply Chain Resilience;
- Circularity;
- Risk Exposure;
- Operational Performance.
Extensions shall not modify the semantics of existing dimensions.
3.18. Relationship to Constitutional Frameworks
Constitutional Dimensions integrate with:
| Framework | Primary Contribution |
|---|---|
| Validation Rule Registry | Validation |
| Trust Model | Trust |
| Attestation Catalog | Assurance |
| Replay Specification | Replay |
| Federation Profiles | Federation |
| TG-INTEL | Intelligence |
| CALM | Governance |
| CAS | Security |
| DAL | Integrity |
| CPA | Persistence |
| CIA | Identity |
| CIR | Identifier governance |
Each framework contributes evidence without redefining the dimensions themselves.
3.19. Constitutional Constraints
Every Constitutional Dimension shall satisfy the following requirements.
- Dimensions shall measure one constitutional property.
- Dimension scores shall be evidence-based.
- Dimensions shall remain independently explainable.
- Dimensions shall remain replayable.
- Dimensions shall preserve provenance.
- Dimensions shall support federation.
- Dimensions shall remain implementation independent.
- Dimensions shall be extensible without altering existing semantics.
These constraints are normative.
3.20. Summary
Constitutional Dimensions establish the common quality vocabulary used throughout the ZAYAZ ecosystem.
By organizing constitutional assessments into independent dimensions such as Validation, Trust, Evidence, Attestation, Replay, Federation, Governance, Security, Intelligence, Completeness, and Integrity, the Scoring Rubric enables transparent, explainable, and multidimensional evaluation of constitutional artifacts. These dimensions form the canonical payload of the Constitutional Score Vector (CSVEC), ensuring that quality assessments remain deterministic, replayable, interoperable, and reusable across every constitutional capability and future platform module.
Part 4 — Validation Rubric
4.1. Purpose
The Validation Rubric defines the constitutional scoring methodology for evaluating validation quality within the TrustGate ecosystem.
The rubric provides deterministic, explainable, replayable, and implementation-independent assessment of validation rules, validation execution, rule coverage, exceptions, errors, warnings, and overall validation maturity.
Validation scores contribute to the Constitutional Score Vector (CSVEC).
4.2. Constitutional Objectives
The Validation Rubric shall:
- measure validation quality;
- measure validation completeness;
- measure validation execution;
- identify validation weaknesses;
- support continuous improvement;
- enable benchmarking;
- support governance;
- support replay.
Validation scores shall always be evidence-based.
4.3. Constitutional Validation Model
Validation assessment consists of multiple constitutional dimensions.
Validation Rules
│
▼
Validation Execution
│
▼
Coverage
│
▼
Exceptions
│
▼
Errors
│
▼
Warnings
│
▼
Validation Score Vector
│
▼
Validation Constitutional Score
Every stage remains independently explainable.
4.4. Validation Rule Score (CVS-RULE)
Purpose
Measures the quality of the validation rule set itself.
Representative evaluation criteria include:
- rule correctness;
- rule specificity;
- rule determinism;
- rule documentation;
- rule maintainability;
- rule versioning;
- replay compatibility;
- constitutional compliance.
Example interpretation:
| Score | Interpretation |
|---|---|
95–100 | Excellent rule quality |
85–94 | High-quality rules |
70–84 | Adequate rules |
50–69 | Improvement recommended |
<50 | Poor rule quality |
4.5. Validation Result Score (CVS-RESULT)
Purpose
Measures the outcome of validation execution.
Representative metrics include:
- successful validations;
- failed validations;
- inconclusive validations;
- skipped validations;
- execution consistency;
- deterministic behaviour.
Validation success alone shall not determine overall quality.
4.6. Rule Coverage Score (CVS-COVER)
Purpose
Measures how comprehensively validation rules assess the evaluated artifact.
Representative metrics include:
- mandatory rule coverage;
- optional rule coverage;
- schema coverage;
- business rule coverage;
- regulatory coverage;
- metadata coverage.
Coverage represents completeness rather than correctness.
Example interpretation:
| Coverage | Interpretation |
|---|---|
100% | Complete constitutional coverage |
90–99% | Near complete |
75–89% | Good |
50–74% | Partial |
<50% | Insufficient |
4.7. Exception Score (CVS-EXCEPTION)
Purpose
Measures constitutional handling of exceptional situations.
Representative metrics include:
- justified exceptions;
- undocumented exceptions;
- unresolved exceptions;
- exception severity;
- exception recurrence.
Well-managed exceptions reduce operational risk.
4.8. Error Score (CVS-ERROR)
Purpose
Measures constitutional validation failures.
Representative metrics include:
- critical errors;
- major errors;
- minor errors;
- recoverable errors;
- execution failures;
- schema violations.
Errors reduce validation quality in proportion to their constitutional impact.
4.9. Warning Score (CVS-WARN)
Purpose
Measures non-fatal validation concerns.
Representative metrics include:
- missing optional metadata;
- deprecated fields;
- inconsistent formatting;
- suspicious values;
- incomplete documentation;
- quality recommendations.
Warnings indicate improvement opportunities rather than failures.
4.10. Validation Maturity Score (CVS-MATURITY)
Purpose
Measures the maturity of the validation implementation.
Representative metrics include:
- automation level;
- rule version management;
- validation replay support;
- policy integration;
- AI-assisted validation;
- continuous improvement.
Validation maturity reflects constitutional capability rather than individual execution quality.
4.11. Validation Score Vector
The Validation Score Vector represents the canonical assessment of validation quality.
Example:
| Dimension | Score |
|---|---|
| Rules | 96 |
| Results | 94 |
| Coverage | 91 |
| Exceptions | 98 |
| Errors | 89 |
| Warnings | 93 |
| Maturity | 90 |
The Validation Score Vector contributes to the overall Constitutional Score Vector (CSVEC).
4.12. Evidence Sources
Validation scoring may reference:
- Validation Rule Registry;
- Validation Results;
- Validation Reports;
- Rule Coverage Reports;
- Exception Logs;
- Error Logs;
- Warning Logs;
- Replay Artifacts;
- Trust Objects.
All evidence shall preserve constitutional provenance.
4.13. Relationship to Constitutional Frameworks
The Validation Rubric integrates with:
| Framework | Contribution |
|---|---|
| Validation Rule Registry | Rule definitions |
| Replay Specification | Validation replay |
| Trust Model | Trust implications |
| Attestation Catalog | Assurance evidence |
| TG-INTEL | Validation intelligence |
| CPA | Validation persistence |
| CALM | Validation lifecycle |
| CIA | Identity |
| CIR | Identifier governance |
| DAL | Integrity verification |
Validation assessment consumes constitutional evidence without modifying originating artifacts.
4.14. Constitutional Constraints
Every validation scoring implementation shall satisfy the following requirements.
- Rule quality shall be independently measurable.
- Validation execution shall remain deterministic.
- Coverage shall be assessed separately from success.
- Exceptions shall preserve provenance.
- Errors shall be reproducible.
- Warnings shall remain explainable.
- Validation scores shall support replay.
- Validation scoring shall remain implementation independent.
These constraints are normative.
4.15. Summary
The Validation Rubric establishes the constitutional methodology for evaluating validation quality within TrustGate.
By independently assessing rule quality, execution results, coverage, exceptions, errors, warnings, and validation maturity, the rubric provides a multidimensional and evidence-based view of validation performance. The resulting Validation Score Vector contributes to the Constitutional Score Vector (CSVEC), ensuring that validation quality is transparent, explainable, replayable, and consistently governed across the ZAYAZ ecosystem.
Part 5 — Trust Rubric
5.1. Purpose
The Trust Rubric defines the constitutional methodology for evaluating trust throughout the ZAYAZ ecosystem.
It provides deterministic, explainable, replayable, and implementation-independent assessment of Trust Objects, Trust Vectors, trust evidence, trust evolution, and constitutional trust maturity.
Trust assessments contribute to the Constitutional Score Vector (CSVEC).
5.2. Constitutional Objectives
The Trust Rubric shall:
- measure trust quality;
- measure trust completeness;
- measure evidence quality;
- evaluate trust evolution;
- support assurance;
- support federation;
- enable governance;
- support constitutional intelligence.
Trust shall always be evidence-based.
5.3. Constitutional Trust Model
Every trust assessment follows the same constitutional model.
Trust Objects
│
▼
Trust Evidence
│
▼
Trust Vectors
│
▼
Trust Evolution
│
▼
Confidence
│
▼
Trust Score Vector
│
▼
Trust Constitutional Score
Every stage remains independently explainable.
5.4. Trust Object Score (CTS-OBJECT)
Purpose
Measures the constitutional quality of Trust Objects.
Representative evaluation criteria include:
- object completeness;
- provenance quality;
- identity consistency;
- evidence linkage;
- lifecycle compliance;
- replay compatibility;
- federation readiness.
Trust Objects shall remain constitutionally verifiable.
5.5. Trust Vector Score (CTS-VECTOR)
Purpose
Measures the quality of Trust Vectors.
Representative metrics include:
- dimensional completeness;
- consistency across dimensions;
- confidence distribution;
- stability over time;
- constitutional explainability;
- interoperability.
Trust Vectors represent multidimensional trust rather than a single value.
5.6. Trust Evidence Score (CTS-EVIDENCE)
Purpose
Measures the quality of evidence supporting trust.
Representative metrics include:
- evidence completeness;
- provenance;
- source diversity;
- source independence;
- evidence freshness;
- cryptographic integrity.
Trust shall never exceed available evidence.
5.7. Trust Consistency Score (CTS-CONSISTENCY)
Purpose
Measures consistency between constitutional evidence and resulting trust assessments.
Representative metrics include:
- evidence alignment;
- validation alignment;
- replay alignment;
- attestation alignment;
- federation consistency.
Trust assessments shall remain internally coherent.
5.8. Trust Evolution Score (CTS-EVOLUTION)
Purpose
Measures the stability and progression of trust over time.
Representative metrics include:
- trust trend;
- improvement rate;
- degradation rate;
- volatility;
- historical consistency;
- learning effectiveness.
Trust evolution reflects constitutional maturity rather than isolated observations.
5.9. Trust Confidence Score (CTS-CONFIDENCE)
Purpose
Measures confidence in trust assessments.
Representative metrics include:
- evidence certainty;
- validation confidence;
- replay verification;
- attestation support;
- source reliability;
- AI confidence.
Confidence shall always be reported separately from trust.
5.10. Trust Maturity Score (CTS-MATURITY)
Purpose
Measures the constitutional maturity of trust management.
Representative metrics include:
- automation;
- evidence governance;
- continuous monitoring;
- federation participation;
- lifecycle management;
- intelligence integration.
Trust maturity reflects organizational capability.
5.11. Trust Score Vector
The Trust Score Vector represents the canonical assessment of constitutional trust.
Example:
| Dimension | Score |
|---|---|
| Trust Objects | 95 |
| Trust Vectors | 92 |
| Evidence | 96 |
| Consistency | 94 |
| Evolution | 90 |
| Confidence | 93 |
| Maturity | 89 |
The Trust Score Vector contributes to the Constitutional Score Vector (CSVEC).
5.12. Evidence Sources
Trust scoring may reference:
- Trust Objects;
- Trust Vectors;
- Validation Results;
- Attestations;
- Replay Artifacts;
- Federation Events;
- DAL Anchors;
- AI Assessments;
- Governance Policies.
All evidence shall preserve constitutional provenance.
5.13. Relationship to Constitutional Frameworks
The Trust Rubric integrates with:
| Framework | Contribution |
|---|---|
| Trust Model | Trust semantics |
| Validation Rule Registry | Validation evidence |
| Attestation Catalog | Assurance evidence |
| Replay Specification | Reproducibility |
| Federation Profiles | Cross-domain trust |
| TG-INTEL | Trust intelligence |
| DAL | Integrity verification |
| CALM | Lifecycle governance |
| CPA | Trust persistence |
| CIA | Identity |
| CIR | Identifier governance |
Trust assessments consume constitutional evidence without modifying originating artifacts.
5.14. Constitutional Constraints
Every Trust Rubric implementation shall satisfy the following requirements.
- Trust shall be evidence-based.
- Trust Objects shall remain immutable.
- Trust Vectors shall remain explainable.
- Trust evolution shall preserve history.
- Confidence shall be independently measurable.
- Trust assessments shall remain replayable.
- Trust scoring shall preserve provenance.
- Trust scoring shall remain implementation independent.
These constraints are normative.
5.15. Summary
The Trust Rubric establishes the constitutional methodology for evaluating trust across the ZAYAZ ecosystem.
By independently assessing Trust Objects, Trust Vectors, evidence quality, consistency, evolution, confidence, and maturity, the rubric provides a transparent and multidimensional evaluation of constitutional trust. The resulting Trust Score Vector contributes to the Constitutional Score Vector (CSVEC), ensuring that trust assessments remain deterministic, explainable, replayable, and suitable for governance, federation, and constitutional intelligence.
Part 6 — Attestation Rubric
6.1. Purpose
The Attestation Rubric defines the constitutional methodology for evaluating assurance throughout the ZAYAZ ecosystem.
It provides deterministic, explainable, replayable, and implementation-independent assessment of attestations, assurance evidence, verification quality, constitutional integrity, and assurance maturity.
Attestation scores contribute to the Constitutional Score Vector (CSVEC).
6.2. Constitutional Objectives
The Attestation Rubric shall:
- measure attestation quality;
- measure assurance strength;
- evaluate evidence sufficiency;
- evaluate verifier confidence;
- support governance;
- support federation;
- support replay;
- enable constitutional benchmarking.
Attestation scores shall always be supported by constitutional evidence.
6.3. Constitutional Attestation Model
Every attestation assessment follows the same constitutional model.
Attestation
│
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Evidence
│
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Verification
│
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Assurance
│
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Confidence
│
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Attestation Score Vector
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Attestation Constitutional Score
Every stage remains independently explainable.
6.4. Attestation Quality Score (CAS-QUALITY)
Purpose
Measures the constitutional quality of the attestation artifact itself.
Representative evaluation criteria include:
- completeness;
- constitutional compliance;
- metadata quality;
- provenance;
- lifecycle compliance;
- replay compatibility;
- federation readiness.
Attestations shall remain constitutionally verifiable.
6.5. Assurance Strength Score (CAS-ASSURANCE)
Purpose
Measures the constitutional strength of the assurance provided.
Representative metrics include:
- assurance level;
- verifier independence;
- evidence sufficiency;
- verification depth;
- policy compliance;
- assurance scope.
Assurance strength reflects confidence in the constitutional assertion.
6.6. Evidence Sufficiency Score (CAS-EVIDENCE)
Purpose
Measures whether the supporting evidence is sufficient for the stated assurance level.
Representative metrics include:
- evidence completeness;
- source diversity;
- provenance quality;
- evidence freshness;
- integrity verification;
- traceability.
Insufficient evidence limits assurance regardless of attestation quality.
6.7. Verification Score (CAS-VERIFY)
Purpose
Measures the quality of the verification process.
Representative metrics include:
- verification completeness;
- validation alignment;
- replay verification;
- policy verification;
- deterministic execution;
- verifier consistency.
Verification shall remain reproducible.
6.8. Independence Score (CAS-INDEPENDENCE)
Purpose
Measures the constitutional independence of the assurance process.
Representative metrics include:
- verifier independence;
- conflict-of-interest assessment;
- organizational separation;
- delegated authority validation;
- governance compliance.
Independence strengthens constitutional trust.
6.9. Confidence Score (CAS-CONFIDENCE)
Purpose
Measures confidence in the attestation.
Representative metrics include:
- evidence certainty;
- verification certainty;
- trust alignment;
- replay verification;
- AI confidence;
- historical consistency.
Confidence shall always be reported independently of assurance strength.
6.10. Attestation Maturity Score (CAS-MATURITY)
Purpose
Measures the maturity of the organization's assurance capability.
Representative metrics include:
- automation;
- continuous assurance;
- lifecycle governance;
- federation support;
- replay support;
- intelligence integration.
Attestation maturity reflects constitutional capability over time.
6.11. Attestation Score Vector
The Attestation Score Vector represents the canonical assessment of assurance quality.
Example:
| Dimension | Score |
|---|---|
| Attestation Quality | 96 |
| Assurance Strength | 94 |
| Evidence Sufficiency | 97 |
| Verification | 95 |
| Independence | 92 |
| Confidence | 94 |
| Maturity | 90 |
The Attestation Score Vector contributes to the Constitutional Score Vector (CSVEC).
6.12. Evidence Sources
Attestation scoring may reference:
- Attestations;
- Assurance Bundles;
- Validation Results;
- Trust Objects;
- Replay Artifacts;
- Federation Events;
- DAL Anchors;
- Governance Policies;
- AI Assessments.
All evidence shall preserve constitutional provenance.
6.13. Relationship to Constitutional Frameworks
The Attestation Rubric integrates with:
| Framework | Contribution |
|---|---|
| Attestation Catalog | Attestation semantics |
| Trust Model | Trust evidence |
| Validation Rule Registry | Validation evidence |
| Replay Specification | Reproducibility |
| Federation Profiles | Cross-domain assurance |
| TG-INTEL | Assurance intelligence |
| DAL | Integrity verification |
| CALM | Lifecycle governance |
| CPA | Persistence |
| CIA | Identity |
| CIR | Identifier governance |
Attestation scoring consumes constitutional evidence without modifying originating artifacts.
6.14. Constitutional Constraints
Every Attestation Rubric implementation shall satisfy the following requirements.
- Attestations shall remain evidence-based.
- Assurance strength shall be independently measurable.
- Verification shall remain deterministic.
- Confidence shall remain explainable.
- Attestation assessments shall preserve provenance.
- Attestation scoring shall support replay.
- Attestation scoring shall support federation.
- Attestation scoring shall remain implementation independent.
These constraints are normative.
6.15. Summary
The Attestation Rubric establishes the constitutional methodology for evaluating assurance across the ZAYAZ ecosystem.
By independently assessing attestation quality, assurance strength, evidence sufficiency, verification quality, independence, confidence, and organizational maturity, the rubric provides a transparent and multidimensional evaluation of constitutional assurance. The resulting Attestation Score Vector contributes to the Constitutional Score Vector (CSVEC), ensuring that assurance remains deterministic, explainable, replayable, and interoperable across governance, federation, and constitutional intelligence.
Part 7 — Replay Rubric
7.1. Purpose
The Replay Rubric defines the constitutional methodology for evaluating replay quality throughout the ZAYAZ ecosystem.
It provides deterministic, explainable, replayable, and implementation-independent assessment of Replay Artifacts, replay execution, determinism, completeness, constitutional equivalence, lineage preservation, and replay maturity.
Replay scores contribute to the Constitutional Score Vector (CSVEC).
7.2. Constitutional Objectives
The Replay Rubric shall:
- measure replay quality;
- measure replay completeness;
- evaluate deterministic reproducibility;
- verify constitutional equivalence;
- preserve lineage;
- support governance;
- support federation;
- enable continuous improvement.
Replay scores shall always be evidence-based.
7.3. Constitutional Replay Model
Every replay assessment follows the same constitutional model.
Replay Artifact
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Replay Manifest
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Replay Execution
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Replay Verification
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Equivalence Assessment
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Replay Score Vector
│
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Replay Constitutional Score
Every stage remains independently explainable.
7.4. Replay Artifact Score (CRS-ARTIFACT)
Purpose
Measures the constitutional quality of Replay Artifacts.
Representative evaluation criteria include:
- artifact completeness;
- metadata quality;
- provenance preservation;
- constitutional compliance;
- replay compatibility;
- federation readiness;
- lifecycle consistency.
Replay Artifacts shall remain constitutionally verifiable.
7.5. Determinism Score (CRS-DETERMINISM)
Purpose
Measures whether replay consistently reproduces the original execution.
Representative metrics include:
- deterministic execution;
- repeatability;
- stable outcomes;
- execution consistency;
- runtime reproducibility.
Equivalent replay executions shall produce equivalent constitutional outcomes.
7.6. Completeness Score (CRS-COMPLETE)
Purpose
Measures whether sufficient information exists to reconstruct the original execution.
Representative metrics include:
- artifact completeness;
- parameter completeness;
- evidence completeness;
- dependency completeness;
- metadata completeness;
- execution trace completeness.
Replay completeness reflects constitutional sufficiency.
7.7. Constitutional Equivalence Score (CRS-EQUIVALENCE)
Purpose
Measures whether replayed results are constitutionally equivalent to the original execution.
Representative metrics include:
- validation equivalence;
- trust equivalence;
- attestation equivalence;
- decision equivalence;
- federation equivalence;
- governance equivalence.
Constitutional equivalence is more important than binary identity.
7.8. Lineage Preservation Score (CRS-LINEAGE)
Purpose
Measures preservation of constitutional lineage throughout replay.
Representative metrics include:
- provenance continuity;
- artifact relationships;
- dependency preservation;
- identity consistency;
- version continuity.
Replay shall preserve constitutional history.
7.9. Integrity Score (CRS-INTEGRITY)
Purpose
Measures constitutional integrity during replay.
Representative metrics include:
- hash verification;
- DAL verification;
- cryptographic integrity;
- immutability;
- tamper detection;
- evidence continuity.
Replay integrity shall remain independently verifiable.
7.10. Replay Confidence Score (CRS-CONFIDENCE)
Purpose
Measures confidence in replay outcomes.
Representative metrics include:
- verification confidence;
- evidence quality;
- execution certainty;
- replay consistency;
- historical reliability;
- AI confidence.
Confidence shall be reported separately from replay quality.
7.11. Replay Maturity Score (CRS-MATURITY)
Purpose
Measures the maturity of replay capabilities.
Representative metrics include:
- automation;
- replay coverage;
- constitutional completeness;
- federation compatibility;
- intelligence integration;
- continuous verification.
Replay maturity reflects organizational replay capability.
7.12. Replay Score Vector
The Replay Score Vector represents the canonical assessment of replay quality.
Example:
| Dimension | Score |
|---|---|
| Replay Artifacts | 98 |
| Determinism | 100 |
| Completeness | 96 |
| Constitutional Equivalence | 99 |
| Lineage Preservation | 97 |
| Integrity | 100 |
| Confidence | 95 |
| Maturity | 92 |
The Replay Score Vector contributes to the Constitutional Score Vector (CSVEC).
7.13. Evidence Sources
Replay scoring may reference:
- Replay Artifacts;
- Replay Manifests;
- Replay Bundles;
- Validation Results;
- Trust Objects;
- Attestations;
- Federation Events;
- DAL Anchors;
- Execution Profiles;
- Governance Policies.
All evidence shall preserve constitutional provenance.
7.14. Relationship to Constitutional Frameworks
The Replay Rubric integrates with:
| Framework | Contribution |
|---|---|
| Replay Specification | Replay semantics |
| Validation Rule Registry | Validation equivalence |
| Trust Model | Trust equivalence |
| Attestation Catalog | Assurance equivalence |
| Federation Profiles | Federated replay |
| TG-INTEL | Replay intelligence |
| DAL | Integrity verification |
| CALM | Lifecycle governance |
| CPA | Replay persistence |
| CIA | Identity |
| CIR | Identifier governance |
Replay scoring consumes constitutional evidence without modifying originating artifacts.
7.15. Constitutional Constraints
Every Replay Rubric implementation shall satisfy the following requirements.
- Replay assessments shall be evidence-based.
- Determinism shall be independently measurable.
- Completeness shall remain independently assessable.
- Constitutional equivalence shall be verified.
- Lineage shall remain intact.
- Replay scoring shall preserve provenance.
- Replay scoring shall support federation.
- Replay scoring shall remain implementation independent.
These constraints are normative.
7.16. Summary
The Replay Rubric establishes the constitutional methodology for evaluating replay quality across the ZAYAZ ecosystem.
By independently assessing Replay Artifacts, deterministic execution, completeness, constitutional equivalence, lineage preservation, integrity, confidence, and replay maturity, the rubric provides a transparent and multidimensional evaluation of replay capability. The resulting Replay Score Vector contributes to the Constitutional Score Vector (CSVEC), ensuring that replay remains deterministic, explainable, auditable, and interoperable across governance, federation, and constitutional intelligence.