Recursive Return: A Foundational Structure of Correction, Alignment, and Truth

This paper introduces a universal model of recursion not only as a mathematical or computational tool, but as a core corrective structure observable across psychological, biological, social, and spiritual systems. We propose a dynamic equation modeling the self-correction of distorted systems through recursive feedback, showing that truth acts as a structural attractor, not through force, but through reflection and return. Grounded in logic and supported by simulation data, this work outlines the conditions under which systems align, stagnate, or collapse based on their relationship to feedback, humility, and structural coherence. The recursive model offers insight into healing, governance, AI safety, and spiritual development—framed not as ideology, but as a structural path back to truth. It is offered freely, without institutional backing, and with the intent to contribute to the broader dialogue on systemic realignment, intelligence, and truth.