Sequential knowledge editing breaks a model's ability to tell good evidence from bad, without costing it accuracy.

arXiv:2609.29587v1 Announce Type: new Abstract: Knowledge editing is evaluated on whether the edited fact changed, whether paraphrases follow, and whether unrelated answers stayed put. A model can pass all three and still lose something none of them measures: