# Reproducing ÆQORIA This Hugging Face edition preserves the original research release under `research/` and as `releases/AEQORIA_Complete_Research_Release.zip`. The PDF, mathematical source, reference code, and original test record are unchanged. Packaging validation is recorded separately under `validation/`. ## Environment The original run used Python 3.13.5, NumPy 2.3.5, SciPy 1.17.0, SymPy 1.14.0, and mpmath 1.3.0. Use Python 3.13 with the pinned requirements for the closest reproduction. The uploader has its own environment and only needs Python 3.10 or newer; installing the uploader does not install scientific dependencies. From a downloaded copy of this repository: ```bash cd research python -m venv .venv-research ``` Activate the environment on Windows PowerShell with `.venv-research\Scripts\Activate.ps1`, on Windows Command Prompt with `.venv-research\Scripts\activate.bat`, or on macOS/Linux with `source .venv-research/bin/activate`. Then: ```bash python -m pip install -r requirements.txt python verify_aeqoria.py --output ../local_results/verification.json ``` The expected summary is: ```text PASS: 142 checks; categories: {'symbolic': 10, 'algebra': 7, 'numerical': 116, 'high_precision': 9} ``` The command also writes `asymptotics.json` beside its selected output. Using `local_results/` keeps the original evidence record unchanged. Runtime, interpreter version, and some floating-point residuals may vary. The verifier's embedded `date` is a release label; the separate packaging report identifies the fresh execution. ## Regenerate the example tables ```bash python create_examples.py ``` This evaluates the explicit circle design with 80-digit mpmath arithmetic and updates `research/results/circle_examples.csv` and `.json`. Both files were regenerated in a separate temporary copy during packaging and matched the originals byte for byte. These values describe a constructive circle family, not certified finite-length global optima. ## Verify original release integrity Run the following from `research/`: ```python from pathlib import Path import hashlib root = Path('.') for line in (root / 'MANIFEST_SHA256.txt').read_text().splitlines(): expected, name = line.split(' ', 1) assert hashlib.sha256((root / name).read_bytes()).hexdigest() == expected, name print('All original release hashes match.') ``` The original manifest covers 38 files. The enclosing original ZIP has SHA-256: ```text c29d3d15986dd1655e3758c2cf377582e661d7a687de1ff4e275f14a0db90b6b ``` ## Rebuild the manuscript Install a TeX distribution with pdfLaTeX, latexmk, and the packages listed in the main source. From `research/`: ```bash latexmk -pdf -interaction=nonstopmode AEQORIA_Sharp_Holonomy_Observation.tex ``` The supplied PDF has 67 physical pages. The original release records its PDF build and layout inspection; packaging checks the supplied PDF page count and integrity, and does not claim a fresh LaTeX rebuild. ## Evidence boundary The suite checks selected symbolic identities, finite-dimensional algebra, numerical instances, and high-precision asymptotics. It does not exhaust all loops, formally verify the manuscript, establish worldwide priority, or replace independent mathematical review. Refer to `research/CLAIM_LEDGER.md` for the proof/evidence map and to `research/STATUS.json` for the original status.