FactRot measures whether typed factual mentions survive iterative LLM rewriting. We follow each ledger fact through every hop of a rewrite chain and score it separately, instead of measuring aggregate drift in the rewritten text. We score 1,113 ledger facts from 25 Wikipedia passages across 4 models, 4 rewrite operations, and 3 prompt conditions, with chains reaching depth 12. A GEE with passage clusters finds per-hop decay (OR=0.743 per additional hop, p<.001). Type-specific faithfulness instructions do not measurably outperform generic faithfulness at hop 5 (𝛥=0.026, 95% CI [0.022, 0.073]); both improve survival over neutral prompting by roughly 0.13-0.16 absolute. On the depth-12 neutral subset, answer-restate rewriting is much more destructive than direct paraphrasing, and the frontier preview model has the highest hop-12 survival among the four models. Exact fact-type rankings, however, are unstable across models (Kendall W=0.082 at hop 5).