Learning outcomes
- Build evidence packets
- Require claim support
- Design useful citations
Mental model
Grounded generation treats retrieved evidence as the allowed basis for factual claims and keeps each important claim traceable to an inspectable source span.
Theory
The answer context includes source identity, version, location, and text. Instructions require abstention when evidence is missing or conflicting. Citation generation should bind claims to source IDs supplied by the application, not invented URLs. Post-generation checks can verify entailment, citation coverage, and access policy.
Alternatives and trade-offs
Inline citations maximize local traceability, footnotes reduce clutter, extractive answers minimize transformation, and human review is appropriate for high-consequence claims.
Failure modes and misconceptions
Citations can be real but irrelevant, retrieval can omit the decisive source, and fluent synthesis can exceed the evidence. Verify support rather than presence alone.
Knowledge check
What is the difference between citation validity and citation support?
Decision scenario
A policy answer cites paragraph IDs from the approved document version and states when two sources conflict instead of merging them silently.
Relationships
Hybrid Search and Reranking
Grounded generation depends on relevant evidence selection.
prerequisiteGrounding and Hallucination
Grounding failures are evaluated against retrieved evidence and claims.
evaluated-byLLM Evaluation
Citation support and answer utility need representative evaluation cases.
Primary sources
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks - arXiv, verified 2026-07-16