What Deterministic RAG Verification requires
Deterministic RAG (Retrieval-Augmented Generation) verification is a systematic process for cross-referencing AI-generated claims against authoritative knowledge bases to detect and block hallucinated, fabricated, or unsupported outputs…
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Pillar: AI Governance & Law · Authority: NIST (National Institute of Standards and Technology) · Version: 1.1.1 · Last updated:
Primary source: https://arxiv.org/abs/2103.07848
SHA-256 integrity: ea5a391447771f9c4046010e8c7cd3c3b634c8a0a6c4a3a119be4b61162b58cc
Primary Citations — 6 traced to source
- NIST AI Risk Management Framework (AI RMF 1.0) - MEASURE 2.4: AI system performance, including accuracy and robustness, is evaluated and monitored over time.
- EU AI Act (Regulation (EU) 2024/1689) - Article 13: Transparency and provision of information to deployers, ensuring outputs are understandable and interpretable.
+ 4 more citations (full bibliography, deterministic workflow, actionable schema and crosswalks) included in the vault unlock — $0.01 via Skyfire / L402 / Direct Base USDC.
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- Discovery (free): /api/v1/nodes/automated-fact-verification.json — 6-field metadata
- Vault (full node): /api/v1/vault/nodes/automated-fact-verification.json — full 13-key payload, $0.01 USDC (L402/Skyfire/Direct Base)
- Canonical URL: https://bidda.com/intelligence/automated-fact-verification
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