PAGE_ROLE: EVIDENCE SHELF

Evidence Registry / Citation Kit

A citation and evidence shelf for the site's canonical pages, research artifacts, and project records.
READING_ORDER: EVIDENCE_AND_CITATION

Start with one question.

This registry shows which public pages, research artifacts, manifests, checksums, and project records can be cited, and what each surface does not prove.

  1. 01Evidence shelf
  2. 02Citation format
  3. 03Canonical URLs
  4. 04Technical artifacts
  5. 05Boundary
VISUAL_MODEL: EVIDENCE

Evidence is a chain, not a single screenshot.

Use the source, definition, project record, and review packet together so the claim remains bounded and inspectable.

  1. 01SourceOwned or authored surface
  2. 02DefinitionStable semantic anchor
  3. 03Project recordRole and implementation state
  4. 04Review packetEvidence, limits, decision
Read left to right on wide screens and top to bottom on small screens. Explanatory sequence for this page.
PURPOSE: CITATION_AND_EXTRACTION

One evidence shelf for readers, writers, and crawlers.

This page consolidates the owned-canonical, authored-analysis, project, source-qualified mapping, and pending-external-evidence surfaces behind the Jearon Wong / MPLP / GAIC entity graph.

EVIDENCE_REGISTRY

Evidence Registry.

IdentityJearon Wong canonical profile pageowned-canonicalResearchGlobal AI Compliance White Paper 2026 hubauthored-analysisResearchAgentic AI Auditability & Assurance White Paper 2026 hubpublic-research-editionResearchAgentic AI Insurability & Risk Transfer White Paper 2026 hubpublic-research-editionResearchGAIC responsive HTML full textauthored-analysisResearchAgentic AI Auditability & Assurance White Paper 2026 responsive HTML full textpublic-research-editionResearchAgentic AI Insurability & Risk Transfer White Paper 2026 responsive HTML full textpublic-research-editionResearchGAIC PDFauthored-analysisResearchAgentic AI Auditability & Assurance White Paper 2026 PDFpublic-research-editionResearchAgentic AI Insurability & Risk Transfer White Paper 2026 PDFpublic-research-editionIntegrityChecksumsowned-canonicalIntegrityAgentic AI Auditability & Assurance White Paper 2026 checksumspublic-research-editionIntegrityAgentic AI Insurability & Risk Transfer White Paper 2026 checksumspublic-research-editionIntegrityGAIC current manifestowned-canonicalIntegrityHistorical GAIC publication-candidate manifesthistorical integrity recordIntegrityAgentic AI Auditability & Assurance White Paper 2026 manifestpublic-research-editionIntegrityAgentic AI Insurability & Risk Transfer White Paper 2026 manifestpublic-research-editionIntegrityPublic PDF metadata re-seal manifestowned-canonicalConceptAgentic Lifecycle Governanceauthored-analysisConceptMissing Regulatory Objectsauthored-analysisConceptRCCS-Mauthored-analysisConceptALCSauthored-analysisConceptDeterministic Deliveryauthored-analysisProtocolMPLP project pageprojectProtocolMPLP repositoryprojectProtocolMPLP documentationprojectProof SurfaceValidation LabprojectProof SurfaceCognitive OSprojectProof SurfaceSoloCrewprojectMappingSystems discussed in GAICsource-qualified mappingMappingExtended ecosystem mappingsource-qualified mappingMachine-readableEntity graph JSON artifactowned-canonical
CITATION_KIT

How to cite.

Jearon Wong

Jearon Wong, Protocol Architect for the Agent Era. Canonical profile: https://www.jearonwong.com/about/

MPLP

MPLP / Multi-Agent Lifecycle Protocol. Canonical protocol entity page: https://www.jearonwong.com/projects/mplp/

Global AI Compliance White Paper 2026

Jearon Wong. Global AI Compliance White Paper 2026: From Model Governance to Agentic Lifecycle Conformance. Technical Report GACWP-2026-v0.3.2-FRC-R3, May 2026.

Agentic AI Auditability & Assurance White Paper 2026

Jearon Wong. Agentic AI Auditability & Assurance White Paper 2026: A Lifecycle Evidence Guide for Audit, Assurance, and Enterprise AI Governance. Technical Report AIAAWP-2026-v0.1, May 2026.

Agentic AI Insurability & Risk Transfer White Paper 2026

Jearon Wong. Agentic AI Insurability & Risk Transfer White Paper 2026: A Lifecycle Evidence Guide for Underwriting, Claims, and Enterprise Risk Transfer. Technical Report AIIRWP-2026-v1.0, May 2026.

BIBTEX
@techreport{wong2026globalai,
  author = {Wong, Jearon},
  title = {Global AI Compliance White Paper 2026: From Model Governance to Agentic Lifecycle Conformance},
  institution = {JearonWong.com},
  number = {GACWP-2026-v0.3.2-FRC-R3},
  year = {2026},
  month = {May},
  url = {https://www.jearonwong.com/research/global-ai-compliance-white-paper-2026/}
}
CANONICAL_URLS

Canonical URLs.

TECHNICAL_ARTIFACTS

Technical artifacts.

PROJECT_PROOF_SURFACES

Project proof surfaces.

MPLP is the protocol path. Validation Lab is a non-certifying evidence adjudication surface. Cognitive OS is a runtime path. SoloCrew is a delivery proof path.

EXTERNAL_EVIDENCE_STATUS

External evidence status.

LinkedIn profileexternal profile exists; citation outcome not claimed
LinkedIn Newsletter / Groupsowner execution / evidence pending
Xowner execution / evidence pending
Mediumexternal profile exists; citation outcome not claimed
GitHub backlinksevidence pending
External citationspending
Search Console / Bing Webmasterowner execution / evidence pending
Answer-engine citationspending
BOUNDARY: EVIDENCE_DISCIPLINE

Boundary.

This registry is a citation and evidence index. It does not claim external adoption, vendor endorsement, official compatibility, regulator approval, legal compliance proof, certification, procurement guidance, search ranking improvement, indexing, or answer-engine citation.