PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic

ArXi:2511.20586v4 Announce Type: replace Trustworthiness has become a key requirement for the deployment of artificial intelligence systems in safety-critical applications. Conventional evaluation metrics, such as accuracy and precision, fail to appropriately capture uncertainty or the reliability of model predictions, particularly under adversarial or degraded conditions. This paper