Applying the CS-NRRM™ Framework to a 12-Year Longitudinal Human Observational Archive

This preprint presents the practical application of the CS-NRRM™ (Changhun Shin Natural Recovery Pattern Model) Framework using a continuity-preserved 12-year longitudinal human observational archive. The study demonstrates how long-term human observational records can be systematically organized through preserved chronological continuity across multiple anatomical regions, including the dorsal hands, trunk, ankles, and back. Rather than introducing a new medical or therapeutic model, the proposed framework provides a descriptive organizational methodology for continuity-preserved structural observation while maintaining explicit non-medical, non-clinical, and non-diagnostic boundaries. The manuscript further discusses the potential role of continuity-preserved observational archives in long-term digital preservation, machine-readable documentation, and future longitudinal observational research. This Zenodo record contains the complete preprint manuscript together with persistent links to the official research archive and supporting project resources. Official Resources • Official Websitehttps://www.cs-nrrm.com • Official Research Archive (OSF)https://osf.io/cvxy8 • GitHub Repositoryhttps://github.com/changhunshin-csnrrm/cs-nrrm • ORCIDhttps://orcid.org/0009-0001-3805-3023