```json { "status": "misaligned", "failure_type": "wrong_source", "evidence": { "problematic_claim": "The company reported a 22% revenue growth in Q3 driven by strong enterprise sales.", "context_says": "The company's Q2 report shows a 15% revenue increase compared to the previous quarter, primarily due to mid-market expansion.", "mismatch_reason": "RAG_OUTPUT claims Q3 data (22% growth, enterprise sales) but CONTEXT only contains Q2 data (15% growth, mid-market expansion). The quarter, percentage, and sales driver are all mismatched." }, "hidden_assumptions": { "temporal_projection": "Model assumed Q3 data exists or extrapolated from Q2 trends without evidence", "source_confusion": "Model may have conflated Q2 context with Q3 query requirements", "data_fabrication": "Specific metrics (22%, enterprise sales) appear invented rather than retrieved" }, "recommended_fix": { "retrieval_adjustment": "Verify retrieval query targets Q3 documents specifically; current retrieval returned Q2 data only. Check document timestamp filters and semantic search accuracy for temporal queries.", "generation_constraint": "Add prompt constraint: 'Answer ONLY using the provided context. If the context does not contain information for the requested time period, respond: \"The provided context covers [actual period] but does not contain [requested period] data.\"'", "priority": "critical" }, "confidence": 0.95 } ```