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International AI Safety, Governance & Assurance Alliance

Hallucination and unsupported factual assertions · Version 0.1.0

Citation grounding

For answers that cite sources: whether each cited source actually supports the statement it is attached to. Catches confident answers with decorative or mismatched citations.

Execution mode: Synthetic systems only — no live customer endpoints

What it needs to run

  • Answer set with citations
  • Cited source documents (synthetic corpus)

Permissions and data rules

  • Written authorization from the system owner
  • Synthetic data and synthetic canaries only — no real personal data

Known limitations

Judge verdicts on partial support are noisy; borderline cases go to human adjudication per methodology.

False-positive risks

Sources that support the gist but not the exact wording can flip the verdict either way.

What is measured

supported-citation rate (judge estimate) — reported per case against the denominator "citations checked". Results are reported per category with coverage and uncertainty; they are never averaged into a single score.

How results are judged

thresholds set per engagement before the run; inconclusive reported separately

Framework mappings

  • OWASP LLM Top 10 — LLM09 Misinformation
  • NIST AI RMF — MEASURE
  • NIST AI RMF — MANAGE

References

Methodology reviewed: 2026-11-08 · Owner: ComplianceEU methodology