Attribution Accuracy

Attribution accuracy is the correctness of assigning generated statements to the proper originating evidence source, author, or document context - it ensures the system does not mis-credit information provenance.

What Is Attribution accuracy?

• Definition: Quality measure for whether each claim is attributed to the right source entity.
• Difference from Citation Accuracy: Citation checks support presence, while attribution checks source identity correctness.
• Attribution Targets: May include document ID, organization, system of record, or publication owner.
• Pipeline Touchpoints: Depends on metadata integrity through ingestion, retrieval, and final rendering.

Why Attribution accuracy Matters

• Governance Integrity: Incorrect attribution can create legal, policy, or contractual issues.
• Analyst Confidence: Users need to know exactly where evidence originates.
• Error Prevention: Mis-attribution can lead teams to consult the wrong system of record.
• Model Accountability: Attribution logs support incident review and root-cause analysis.
• Knowledge Hygiene: Accurate origin mapping improves long-term content maintenance.

How It Is Used in Practice

• Stable Source IDs: Preserve immutable provenance keys from ingestion through answer rendering.
• Cross-Check Rules: Validate that cited claims map to source metadata and not just similar text.
• Evaluation Sets: Build labeled attribution benchmarks for recurring high-impact query types.

Attribution accuracy is a critical provenance-quality metric in enterprise RAG - strong attribution controls keep answers verifiable, auditable, and operationally safe.