Alysis: Cartographic Mapping of a Curated Corpus of Physical Laws in the AC* × S Space — Positional Analysis of S-Related Laws

This archive accompanies the manuscript “Alysis: Cartographic Mapping of a Curated Corpus of Physical Laws in the AC* × S Space — Positional Analysis of S-Related Laws.” It preserves the companion materials of the study in a frozen, reproducible, and citable form.

The archived project presents a cartographic analysis of a curated corpus of 400 physical formulas within the Alysis framework. In the associated workflow, each formula is converted into a per-law matrix, subjected to controlled dyadic coarsening, and assigned the quantities AC, AC*, and S. These quantities are then used to position the corpus in a shared AC* × S space. Within that space, the study examines the placement of S-related laws as a subset within the broader mapped corpus topology.

The archive preserves the curated corpus, the frozen computational workflow, the manuscript-companion documentation, and the materials necessary to reconstruct the study outputs in a transparent and reproducible manner. Its purpose is to preserve a reproducible methodological pathway from symbolic laws to a shared formal map.

Because the associated intermediate and final generated files are too numerous and too large to be fully included, the archive does not function as a complete static dump of all derived outputs. Instead, it provides the starting files and the Python-based workflow required to regenerate those materials. Intermediate outputs, final accessory files, and other derived project files must be generated by running the Python scripts contained in the pipeline ZIP folder according to the documented execution order. The reproducible logic of the project is therefore preserved through the combination of archived inputs, workflow documentation, and executable scripts.

The included documentation explains workflow order, directory structure, input-output relations, provenance, and citation metadata, and is intended to support readers, reviewers, and computational agents in navigating and correctly interpreting the archived project.

2026-04-04