AAM-V1: An Auxiliary Analytical Module for Uncertainty-Aware Validation of Algorithmic Outputs

This work introduces AAM-V1 (Auxiliary Analytical Module, Version 1), a methodological framework designed to support uncertainty-aware validation and interpretation of algorithmic outputs. AAM-V1 is not a diagnostic, predictive, or decision-making system. It does not generate primary results, clinical conclusions, or automated recommendations. Instead, it operates as an auxiliary analytical layer that evaluates, cross-checks, and contextualizes outputs produced by external computational models. The module is domain-agnostic by design and may be applied to a wide range of analytical pipelines, including but not limited to medical imaging research, scientific simulations, and complex data-driven systems. Any domain-specific interpretation remains the responsibility of qualified human experts. This publication is intended for research, methodological discussion, and exploratory validation purposes only. Related foundational works:– Spectral Attractor 1/e (Zenodo, DOI: 10.5281/zenodo.18611438)– AAM Methodology (Zenodo, DOI: 10.5281/zenodo.18525442)– OPMT Framework (Zenodo, DOI: 10.5281/zenodo.18558409)