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Citation reliability

As explained in Build an AI Agent (From Scratch)

Citation reliability is the degree to which an answer's key claims are supported by the provided evidence and its citations match those claims.

Citation reliability measures whether an answer’s key claims are supported by the available evidence and whether each citation connects to the claim it supports. It makes evidence alignment a trackable evaluation criterion rather than a matter of impression. section 10.2.4

Evaluate citation reliability with a binary rubric:

  • PASS when key claims are supported by sources and citations connect to those claims. section 10.2.4
  • FAIL when sources are absent, citations differ from the original text, sources are unrelated, or an excerpt does not support the cited claim. section 10.2.4 section 10.3.2
  • Judge only the supplied evidence pack; treat unsupported claims as failures even when they sound plausible, and give no partial credit. section 10.3.2

Evaluator input and decision

Provide the evaluator with the user query, final answer, rubric, and an evidence pack containing source identifiers, metadata, and relevant verbatim excerpts. If the answer cites a source whose excerpt does not support a key claim, return citation reliability = FAIL with a citation-mismatch reason. section 10.3.2

Aggregate case-level judgments into a citation reliability rate: the fraction of evaluations that PASS this rubric item. Combine it with answer relevancy and requirement compliance to calculate overall pass rate. section 10.2.4

How Build an AI Agent (From Scratch) covers it

How deep it goes
Defines binary criteria, evaluator inputs, mismatch handling, and aggregation, but does not specify graded citation scores or partial credit.
Examples
Uses source excerpts, citation mismatches, unsupported claims, and PASS/FAIL evaluator outputs as concrete assessment cases.
What it assumes
Requires a user query, final answer, rubric, and source excerpts with metadata; teaches evidence-only judgment rather than outside-knowledge verification.
What you can do after
Evaluate citation alignment with a strict evidence pack and track results as a citation reliability rate.
How it connects
Connects citation reliability with evaluation rubrics, evidence packs, answer relevancy, requirement compliance, and overall pass rate.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Build an AI Agent (From Scratch). The section links point to the parts of the book it draws on.