Does the Explanation Drift Before the Guarantee? Label-Free Early Warning on Evolving Graphs.

arXiv:2610.16534v1 Announce Type: new Abstract: Deployed models can fail silently as the world they describe evolves. Attribution drift has served as an early warning in tabular data; we ask whether, in graph streams, a model's own explanations can forewarn th