Citation Attribution
Track and surface, alongside a RAG-grounded answer, which retrieved chunks supported which claims, so the binding between answer span and source survives all the way to the user.
Intent & Description
🎯 Intent
Track and surface, alongside a RAG-grounded answer, which retrieved chunks supported which claims, so the binding between answer span and source survives all the way to the user.
📋 Context
A team is shipping a retrieval-augmented system in a compliance, research, or customer-support setting where the user must be able to trace any claim in the answer back to the specific evidence that supports it. Unsupported claims are not an acceptable failure mode; the user needs to click from a sentence in the answer to the exact passage in a source document, and the team needs to be able to defend that link to an auditor.
💡 Solution
- During retrieval, assign each chunk a stable source-id and maintain a registry of all ids retrieved for the current turn. - During generation, either (a) prompt the model to emit citation markers (
[src-id]) at the desired granularity, then validate each marker against the registry and reject any id that was not retrieved; or (b) use a structured-output schema with aclaimsarray containingtextandsupporting_chunk_idsfields. - At delivery, attach the resolved source records to the answer so the UI can render per-span source links. - Pair with citation-streaming (delivery), naive-rag / contextual-retrieval (upstream retrieval), and hallucinated-citations (the anti-pattern this pattern prevents).
Real-world Use Case
- Users must be able to trace each claim to a retrieved source.
- Compliance, research, or audit settings make unsupported claims unacceptable.
- The delivery UI can render per-claim or per-span source links.
- The retrieval pipeline already assigns stable source ids to chunks.
Source
Advantages
- Every claim is traceable to a retrieved chunk; unsupported claims are detectable.
- Auditors and users can verify provenance independently.
- The binding survives delivery, so UI components can render per-span source links.
- Hallucinated citations are blocked at validation time, not noticed at user-report time.
Disadvantages
- Generation quality drops if the model is asked for tight span-level attribution and a coarser binding would suffice.
- Multi-chunk claims need aggregation logic — single-source binding is too narrow.
- Citation markers in prose can clutter UX; the delivery layer must render them well.
- Validation that rejects unknown ids must be paired with a fallback to avoid empty answers.