FragileFlow: Spectral Control of Correct-but-Fragile Predictions for Foundation Model Robustness

ArXi:2605.08896v1 Announce Type: cross Robust adaptation of LLMs and VLMs is often evaluated by average accuracy or average consistency under perturbations. However, these averages can hide a structured failure mode: a prediction may remain correct while probability mass already flows from particular true classes toward systematic wrong competitors near the decision boundary. In this paper, we formalize this phenomenon as margin-aware error flow and