TrustGraph
Independent reference on trust, authority, and evidence relationships in machine-consumable systems
Purpose
TrustGraph documents how claims, evidence, and source anchors can be structured into traceable relationships. The focus is on inspectability, provenance, and integrity— not on scoring, endorsement, or certification.
Scope Boundary
Included
- Terminology for claims, evidence, provenance, attribution, and citation
- Evidence categories such as documents, registries, signed artifacts, and logs
- Relationship types linking claims to evidence and sources
- Integrity primitives (timestamps, hashes, signatures)
- Claim → evidence → source mapping discipline
Excluded
- Product or tool comparisons
- Authority or trust scoring systems
- Jurisdiction-specific certification schemes
- Reputation or sentiment-based authority concepts
Reference Model
Claim → Evidence → Source (CES)
- Claim: A verifiable statement about an entity or artifact.
- Evidence: An artifact that substantiates the claim.
- Source: A canonical authority defining legitimacy.
The model is classificatory only. It enables traceability but does not express judgment or sufficiency.
Evidence & Sources
All definitions and boundaries are grounded in primary standards and protocols. A complete, versioned source list and mappings are maintained in the evidence repository.
Evidence repository: github.com/semantic-infrastructure/trustgraph-evidence
Asset Metadata
- Asset type: Versioned reference asset
- Version: v1.0 (2026-01-19)
- Prepared with AI assistance: Yes (editorial control retained)
- Contact: research@rightsofrobots.com
- Availability: The domain may be available for acquisition
Clarification
This reference documents evidentiary structure and provenance governance only. It is not affiliated with, derived from, or related to generative graph-based AI frameworks or software implementations.
Disclaimer
This reference documents terminology and evidence structures only. It does not provide legal, compliance, or certification advice.