This repository contains input data and output artifacts for a diagnostic system in which agreement and disagreement across multiple representations determine whether a conclusion is warranted. The system operates by treating representations as interacting nodes: agreement reinforces class commitment, while disagreement reduces class dominance through an iterative state process. A diagnosis is issued only when the aggregate state supports commitment; otherwise, the system produces INDETERMINATE as a primary output. Unlike conventional approaches that aggregate measurements to force a classification, this system treats disagreement as a state-modifying signal rather than noise to be resolved. Persistent cross-representation disagreement prevents commitment and produces INDETERMINATE as a direct consequence of the system dynamics, rather than as a post-hoc rejection or confidence threshold. On a small test set, this resolves cases where conventional single-metric methods fail and produces stable INDETERMINATE outputs in structurally ambiguous cases. This package includes input data, full outputs, comparative figures, and audit records for independent review. The executable implementation is not included but is available upon request. A provisional patent application covering this architecture has been filed with the United States Patent and Trademark Office (USPTO) under 35 U.S.C. § 111(b).