Recursive Cognitive Externalization (RKE): A Novel LLM-Native Methodology for Individual Cognitive Architecture Assessment and Intergenerational Comparison

This paper introduces Recursive Cognitive Externalization (RKE), a novel methodology for the formalized assessment of individual cognitive architecture through iterative human-LLM interaction. RKE produces formalized individual cognitive profiles at substantially higher resolution than existing psychometric instruments (Big Five: 5 dimensions, HEXACO: 6, 16PF: 16). The methodology is LLM-native: it requires capabilities — sustained contextual coherence, semantic pattern recognition, and non-directive reflective dialogue — that became simultaneously available only with large-context language models (≥2023). Systematic literature review across twelve disciplines confirms that RKE's specific configuration occupies an unoccupied research position. The paper introduces the Cognitive Inheritance paradigm and maps over 100 open research domains enabled by this instrument. Procedural specifics reserved for subsequent controlled-access publication. Full 18-paragraph legal disclaimer included (§§1–18). Part of the AUGMANITAI research framework. Published as Citizen Science. CC BY-ND 4.0.