grounding violation

Term used by Do Rosario, Younes & Pires (arXiv:2608.26385, 2026, "Why RAGs Hallucinate") for a RAG system answering without support from its knowledge base, independent of whether the answer happens to be factually correct — distinguished from plain "factual hallucination" (a wrong answer) and explained by the mechanism the same paper names "parametric leakage": the answer is drawn from the backbone model's training knowledge rather than from anything actually retrieved.

First encountered 2026-10-21 while researching whether the hallucination/RAG-evaluation literature distinguishes correctness from groundedness as separate axes. Watching for recurrence across future RAG-evaluation captures.

References

• claim-do-rosario-2026-grounding-violation-parametric-leakage-distinct-from-factual-hallucination
• Capture: 10-inbox/raw/2026-10-21-has-ai-safety-or-nlp-evaluation-literature-named.md