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To check AI citations against retrieved source IDs, first confirm that each cited ID appears in the exact retrieval set used for the answer. Then verify that the linked passage supports the whole claim it is attached to. A valid ID proves that a source was retrieved—not that it is relevant, correctly attributed, or sufficient evidence.
What an ID check can—and cannot—tell you
A citation review has two distinct jobs: validate the reference and validate the evidence. For every citation, check whether its exact document or chunk ID belongs to the retrieval set for that answer. If it does, resolve the ID to the stored source and passage. Then compare that passage with the claim.
These stages catch different failures. An ID may be valid but point to an irrelevant passage, a passage about the wrong entity or version, or evidence that supports only part of the claim. Google Cloud defines a claim as grounded only when it is wholly entailed by the supplied facts; partial support does not meet that standard. Google Cloud’s grounding documentation describes this criterion and how claims can be connected to cited chunks.
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- Freeze the retrieval set. For each answer, retain the exact document and chunk IDs supplied to generation, along with enough metadata to look them up later. A citation must be checked against that answer’s set, not a different or subsequently updated retrieval result.
- Parse citations and enforce the ID allowlist. Extract each emitted citation marker and compare its ID with the frozen set. Flag missing, malformed, or unknown IDs. Resolve valid IDs through an application-owned registry; do not rely on a model-generated URL or source label as proof of identity.
- Map citations to claims. Break the answer into reviewable assertions or spans and record which chunk IDs are meant to support each one. Claim-level mapping makes it possible to inspect what the citation actually substantiates rather than treating a source list at the end as support for the whole answer.
- Check the passage against the entire claim. Read the cited passage and ask whether it entails the complete assertion. Note whether it supports the claim, contradicts it, or leaves it unsupported. A passage that verifies one clause but not another is not full support for a sentence that combines both.
- Check attribution and scope. Confirm the source is about the same entity, event, version, and context named in the claim. A real, relevant-looking citation can still misattribute evidence or overstate the source’s scope.
- Preserve provenance and review decisions. Keep the resolved document and chunk, title or filename, URL where applicable, retrieval context, and review outcome. This gives reviewers a reproducible path from answer to evidence.
- Escalate uncertain or high-impact claims. Use automated scores to help prioritize review, not as a substitute for it. Have a person inspect claims where the evidence is ambiguous or the cost of an unsupported statement is high.
Evaluate each citation on five dimensions
| Check | Question | What a failure means |
|---|---|---|
| ID membership | Is this exact source or chunk ID in the retrieval set for this answer? | The citation refers to an item that was not among the allowed retrieved sources. |
| Resolution | Does the ID map to the expected document and passage, with usable provenance? | The reference cannot be reliably traced to the intended evidence. |
| Claim support | Does the passage entail the whole claim, contradict it, or leave it unsupported? | The ID may be valid, but the cited evidence does not establish the assertion. |
| Attribution accuracy | Is the evidence about the same entity, event, version, and scope as the claim? | The answer may assign a true statement to the wrong subject or overgeneralize it. |
| Coverage | Does every material claim have supporting evidence? | Some assertions remain uncited or unsupported even if other citations pass. |
Use automated grounding scores carefully
Automated grounding checks can help surface claims whose citations may not support them. Google Cloud documents a support score and citation-threshold behavior in its grounding check documentation. Treat these outputs as triage signals: the documentation does not establish one universally correct threshold for every application or subject. Choose and validate a cutoff against the application’s evidence and the consequences of false acceptance or unnecessary escalation.
A score is not a measured accuracy rate. It does not, by itself, prove that an ID belongs to the right retrieval set, that the passage is attributed correctly, or that every material claim is covered. Keep the membership, resolution, support, attribution, and coverage checks distinct.
Keep source metadata useful and traceable
Citations are easier to inspect when IDs resolve to informative records rather than opaque strings alone. Preserve the source document, the cited chunk, and provenance metadata such as a title, filename, or URL where available. OWASP’s RAG Security Cheat Sheet recommends attributing retrieved documents, used chunks, and their provenance. Microsoft’s RAG documentation notes that index fields such as document titles, URLs, or filenames can improve citation quality.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Include retrieved-content security in the review
Retrieved passages are evidence to evaluate, not trusted instructions to follow. OWASP and Microsoft identify prompt injection in retrieved content as a risk. Apply controls across the retrieval-augmented generation pipeline, including output validation and application logic, and ensure that a passage cannot authorize downstream actions merely because it was retrieved or cited. See OWASP’s RAG security guidance and Microsoft’s RAG guidance.
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