Are Independently Estimated View Uncertainties Comparable? Unified Routing for Trusted Multi-View Classification

ArXi:2604.09288v1 Announce Type: new Trusted multi-view classification typically relies on a view-wise evidential fusion process: each view independently produces class evidence and uncertainty, and the final prediction is obtained by aggregating these independent opinions. While this design is modular and uncertainty-aware, it implicitly assumes that evidence from different views is numerically comparable. In practice, however, this assumption is fragile.