Functional compatibility as a determinant of persistent neural learning.

arXiv:2608.22462v3 Announce Type: replace-cross Abstract: Neural networks can acquire new capabilities while damaging existing ones, but what determines whether new learning persists remains unclear. We identify functional compatibility, the extent to which in