All experiments are run on Intel Xeon ICX Platinum 8358 and GeForce RTX 3090.

Furthermore, the theoretical guarantees of the transitivity and aggregation error bound are justified.

Thus, becoming convoluted and difficult to analyze.

Evidential Deep Learning (EDL), grounded in Evidence Theory and Subjective Logic (SL), provides a robust framework to estimate uncertainty for out-of-distribution (OOD) detection alongside traditional classification probabilities.