This research repository introduces Universal Control Planes and Scoring Tree/Forest/Folding for Structural Intelligence (UCPSF), a proposed architectural framework connecting Generalized Scoring Intelligence, Scoring Trees and Forests, structural folding, Common Concept Core (CCC) distillation, hybrid intelligence, and governed Structural Recursive Self-Improvement (RSI). The framework investigates three proposed Scoring Operator families: Value-Based Folding, Branching-Based Folding, and ANN Scoring Nodes. It explores Unaligned AND Folding across heterogeneous evaluation structures, recursive extraction of reusable Scoring CCCs, Perspective-Aware Meta-Scoring, and adaptive composition of Localization Intelligence and Per-Node Intelligence. UCPSF further proposes a Universal Control Plane for coordinating execution, evaluation, evidence, resource allocation, policy enforcement, and governed structural evolution. Particular emphasis is placed on explicit specifications and contracts, independent validation, counter-evidence, anti-Goodhart mechanisms, and authorized structural promotion. Version 1.0.0 presents eight core research papers, three conceptual case studies, an architecture figure catalog, and a research roadmap. It is a theory-first research release. The proposed mechanisms, generality claims, and performance hypotheses require further formalization and empirical validation.
No takes yet. Share an insight, caveat, or question.
Sizhe Tan (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: