MVR Framework Evidence: AI Citation Records and Provenance Data (2026)

Farouk Mark Mukiibi's dataset documents verifiable citations and references to the Minimum Viable Relationships (MVR) Framework by major AI systems. It consolidates multi-platform proof of attribution across OpenAI ChatGPT, xAI Grok, Perplexity AI, Google Gemini, Meta AI, and Microsoft Copilot. The 1.1 MB dataset, last updated on 2026-05-24, includes machine-readable JSON evidence, public archives, and SHA-256 integrity hashes.

Use Cases

• Analyzing AI citation patterns for a specific conceptual framework based on the documented multi-platform evidence.
• Verifying the provenance and integrity of AI-referenced knowledge using the provided SHA-256 hashes and public archives.
• Integrating with the MVR Framework API for AI agents based on the listed OpenAPI specifications and discovery endpoints.

Strengths

• Includes verifiable evidence from six major AI platforms: OpenAI ChatGPT, xAI Grok, Perplexity AI, Google Gemini, Meta AI, and Microsoft Copilot.
• Provides data integrity verification through SHA-256 hashes for corresponding screenshots.
• Offers extensive API and integration documentation with 10 listed endpoints and discovery files for 2026.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's 1.1 MB size suggests a relatively small collection of records.

Provenance

Source

Farouk Mark Mukiibi, African Market Strategist and Expert.

Collection Method

Consolidates multi-platform proof of attribution, including machine-readable JSON and archived screenshots.

Freshness

Last updated 2026-05-24 18:08:01.

Geography

Focuses on concepts applicable to African and other high-context markets.