I asked models to extract facts with provenance two different ways. Naive: return {answer, quote} , insist the quote is verbatim, then string-match it against the source. Exact-match rates ran 37–93% depending on model quality. Fabrication was real — 0–13% . Normalization helped only slightly. Every tier could produce prose that reads like a quote and isn't. Anchor: return {answer, anchor_phrase} — three to eight words near the value. Feed the anchor to deterministic code t...