Lalita

A Unified Discrete Mathematical Framework for Validation and Feature Attribution of Trust in Hybrid AI-Driven Network Architectures

This paper introduces a discrete mathematical framework that renders the trustworthiness of automated nodes in hybrid AI-driven networks both cryptographically verifiable and mathematically provable. The framework is built on a bounded lattice of admissible node states, normalized feature attributions, and trust valuat...