dag-hallucination-detector

Hallucination detection in AI agent outputs identifies fabricated content, false citations, and unverifiable claims by verifying quotes and performing factual consistency checks to prevent misinformation.

AI pipelines output false citations and contradictions when lacking traceable fact-checking. Consistency and temporal integrity analysis catches these internal contradictions by verifying claims against source data.

Citation verification for DAG outputs is performed through a configurable workflow that checks factual claims, verifies quotes across outputs, and detects hallucination patterns within AI pipeline results.

This hallucination detection integrates with existing AI validation workflows by connecting with dag-output-validator and dag-confidence-scorer to provide a robust, traceable verification pipeline.

The best way to stop misinformation in automated AI pipelines is implementing real-time hallucination assessments that verify citations and check factual claims before outputs are finalized.