arxiv
PublishedSeptember 3, 2026 at 4:00 AM
—neutral
Entangled Representations Amplify Collateral Damage in Unlearning
Publisher summary· verbatim
arXiv:2609.02285v1 Announce Type: cross Abstract: A long-held intuition in interpretability research is that representational entanglement, the sharing of structure between knowledge domains in a neural network, makes unlearning harder. While the intuition is widespread, it has never been directly t
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Originally published on arxiv ↗