General Framework of Structural Folding and Unfolding Intelligence

GFSFUI — General Framework of Structural Folding and Unfolding Intelligence — presents a general research and engineering framework for organizing intelligence around the continuous movement between concrete experience and reusable structural knowledge. The framework connects Generic Structural Representation, Structural Folding, Metric Differential structures, Cluster-Central CCCs, Core and Delta, Per-Node Intelligence, Structural Search, Two-Way Structural Search, Counter-Evidence, Structural Falsification, sparse-data structural learning, Structural Unfolding, CallingGraph generation, Local UTN, context-preserving identity, validation, certification, continual structural growth, and Refolding. Its canonical lifecycle is: Represent → Fold → Localize → Search → Challenge → Unfold → Validate → Certify → Grow → Refold. Three canonical demonstrations provide complementary views of the framework: Stock Market Structural Folding for large-population Folding, Biomedical Structural Search for sparse-data learning and falsification, and CallingGraph Fold–Unfold for structural generation, validation, certification, and Refolding. GFSFUI also forms a complementary three-DOI Structural Folding front with SMSF and CSFR, connecting concrete application, reusable structural mechanisms, and the general Fold–Unfold framework.