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2026
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| Online Access: | https://doi.org/10.5281/zenodo.18149263 |
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| _version_ | 1866901396364722176 |
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| author | Strive, Jedi Markus |
| author_facet | Strive, Jedi Markus |
| contents | <p>This archive contains a complete Unified Temporal-Measurement Framework (<a href="https://doi.org/10.5281/zenodo.18096777">UTMF</a>) v5.2<br>FULL_DETAILS metadata snapshot generated on 2026-01-03 (UTC).</p> <p>The JSON file stores all subset-level multifractal outputs, configuration parameters,<br>quality diagnostics, and an embedded snapshot of the MFDFA implementation<br>(\texttt{jedi_mfdfa}) used at runtime. The archive includes both empirical datasets<br>and synthetically generated control datasets, all processed through the identical<br>UTMF v5.2 pipeline.</p> <p>Dataset-level Fractal Asymmetry Theory (<a href="https://doi.org/10.5281/zenodo.17993683">FAT</a>) feature vectors, Emergence Depth (<a href="https://doi.org/10.5281/zenodo.18124466">ED</a>)<br>values, post-emergent trajectory metrics, and incremental growth statistics are<br><strong>not stored explicitly</strong> in this JSON. Instead, they are <strong>deterministically<br>reconstructed</strong> via post-processing of the archived subset-level outputs.</p> <p>This metadata archive is designed to support fully reproducible downstream analyses,<br>including:</p> <ul> <li> <p>hierarchical clustering in FAT space,</p> </li> <li> <p>Emergence Depth (ED_50) computation,</p> </li> <li> <p>post-emergent structural trajectory analysis,</p> </li> <li> <p>empirical confinement and compatibility envelope estimation,</p> </li> <li> <p>incremental emergence experiments involving random growth orderings,<br>rank stabilization, volatility, and insertion impact metrics.</p> </li> </ul> <p>All such analyses can be reproduced without rerunning the UTMF pipeline or<br>reprocessing any raw data, using only this archived metadata and the corresponding<br>analysis scripts.</p> <p>The archive is intentionally <strong>paper-agnostic</strong> and may be reused for future studies.<br>It is referenced by, but not restricted to, the following works:</p> <ul> <li> <p><a href="https://doi.org/10.5281/zenodo.18149464"><em>Structural Memory in Emergent Systems: Trajectories Beyond Emergence Depth</em></a></p> </li> <li> <p><a href="https://doi.org/10.5281/zenodo.18192204"><em>Emergence Is Confined: Empirical Limits on Post–Emergent Structure</em></a></p> </li> <li> <p><a href="https://doi.org/10.5281/zenodo.18210508"><em>Incremental Emergence in Multifractal Asymmetry Spaces: Stabilization, Volatility, and Structural Position</em></a></p> </li> </ul> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18149263 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | UTMF v5.2 FULL_DETAILS Metadata Archive (Empirical and Synthetic Datasets) Strive, Jedi Markus multifractal analysis UTMF fractal asymmetry theory emergence depth hierarchical clustering complex systems reproducible research synthetic datasets <p>This archive contains a complete Unified Temporal-Measurement Framework (<a href="https://doi.org/10.5281/zenodo.18096777">UTMF</a>) v5.2<br>FULL_DETAILS metadata snapshot generated on 2026-01-03 (UTC).</p> <p>The JSON file stores all subset-level multifractal outputs, configuration parameters,<br>quality diagnostics, and an embedded snapshot of the MFDFA implementation<br>(\texttt{jedi_mfdfa}) used at runtime. The archive includes both empirical datasets<br>and synthetically generated control datasets, all processed through the identical<br>UTMF v5.2 pipeline.</p> <p>Dataset-level Fractal Asymmetry Theory (<a href="https://doi.org/10.5281/zenodo.17993683">FAT</a>) feature vectors, Emergence Depth (<a href="https://doi.org/10.5281/zenodo.18124466">ED</a>)<br>values, post-emergent trajectory metrics, and incremental growth statistics are<br><strong>not stored explicitly</strong> in this JSON. Instead, they are <strong>deterministically<br>reconstructed</strong> via post-processing of the archived subset-level outputs.</p> <p>This metadata archive is designed to support fully reproducible downstream analyses,<br>including:</p> <ul> <li> <p>hierarchical clustering in FAT space,</p> </li> <li> <p>Emergence Depth (ED_50) computation,</p> </li> <li> <p>post-emergent structural trajectory analysis,</p> </li> <li> <p>empirical confinement and compatibility envelope estimation,</p> </li> <li> <p>incremental emergence experiments involving random growth orderings,<br>rank stabilization, volatility, and insertion impact metrics.</p> </li> </ul> <p>All such analyses can be reproduced without rerunning the UTMF pipeline or<br>reprocessing any raw data, using only this archived metadata and the corresponding<br>analysis scripts.</p> <p>The archive is intentionally <strong>paper-agnostic</strong> and may be reused for future studies.<br>It is referenced by, but not restricted to, the following works:</p> <ul> <li> <p><a href="https://doi.org/10.5281/zenodo.18149464"><em>Structural Memory in Emergent Systems: Trajectories Beyond Emergence Depth</em></a></p> </li> <li> <p><a href="https://doi.org/10.5281/zenodo.18192204"><em>Emergence Is Confined: Empirical Limits on Post–Emergent Structure</em></a></p> </li> <li> <p><a href="https://doi.org/10.5281/zenodo.18210508"><em>Incremental Emergence in Multifractal Asymmetry Spaces: Stabilization, Volatility, and Structural Position</em></a></p> </li> </ul> |
| title | UTMF v5.2 FULL_DETAILS Metadata Archive (Empirical and Synthetic Datasets) |
| topic | multifractal analysis UTMF fractal asymmetry theory emergence depth hierarchical clustering complex systems reproducible research synthetic datasets |
| url | https://doi.org/10.5281/zenodo.18149263 |