UTMF v5.2 FULL_DETAILS Metadata Archive (Empirical and Synthetic Datasets)

This archive contains a complete Unified Temporal-Measurement Framework (UTMF) v5.2FULL_DETAILS metadata snapshot generated on 2026-01-03 (UTC). The JSON file stores all subset-level multifractal outputs, configuration parameters,quality diagnostics, and an embedded snapshot of the MFDFA implementation(\texttt{jedi_mfdfa}) used at runtime. The archive includes both empirical datasetsand synthetically generated control datasets, all processed through the identicalUTMF v5.2 pipeline. Dataset-level Fractal Asymmetry Theory (FAT) feature vectors, Emergence Depth (ED)values, post-emergent trajectory metrics, and incremental growth statistics arenot stored explicitly in this JSON. Instead, they are deterministicallyreconstructed via post-processing of the archived subset-level outputs. This metadata archive is designed to support fully reproducible downstream analyses,including: hierarchical clustering in FAT space, Emergence Depth (ED_50) computation, post-emergent structural trajectory analysis, empirical confinement and compatibility envelope estimation, incremental emergence experiments involving random growth orderings,rank stabilization, volatility, and insertion impact metrics. All such analyses can be reproduced without rerunning the UTMF pipeline orreprocessing any raw data, using only this archived metadata and the correspondinganalysis scripts. The archive is intentionally paper-agnostic and may be reused for future studies.It is referenced by, but not restricted to, the following works: Structural Memory in Emergent Systems: Trajectories Beyond Emergence Depth Emergence Is Confined: Empirical Limits on Post–Emergent Structure Incremental Emergence in Multifractal Asymmetry Spaces: Stabilization, Volatility, and Structural Position