| --- |
| language: |
| - en |
| tags: |
| - research |
| - numpy |
| - reproducibility |
| --- |
| # huret-digit-classifiers |
|
|
| Fifteen October digit classifiers: identity, parity and magnitude, five seeds each. The trained arrays are retained from the CP02 replay. Architecture: 64 -> 32 ReLU -> 16 ReLU -> task head. This is the October HuReT audit, not an MRI model and not the missing July model archive. |
|
|
| ## Local use |
| ```sh |
| python -m pip install -r requirements.txt |
| python validate.py |
| ``` |
| Import `predict` from `inference.py`; see `config.json` for input semantics. Inputs are not automatically normalized except as specified. Loaders reject wrong shapes, nonfinite values and invalid model selectors. Weight files are NumPy archives or JSON; no pickle/custom remote execution is required. |
|
|
| ## Evidence and limitations |
| The validation is loader parity and input-contract testing, not independent external predictive validation. No clinical deployment, universal physics, foundation-model quality or new biological evidence is claimed. These are individual finite model families, not repackaged third-party LLMs. |
|
|
| ## Licensing and provenance |
| Private staging. Author approval and redistribution rights must be confirmed before public upload. No new blanket license, completed HF upload or DOI is asserted. `PROVENANCE.json` records exact source file hashes and transformations. |
| ## Verified packaging revision — 2026-10-20 |
|
|
| Preserved model weights reloaded; saved or synthetic example checks passed. No training, held-out evaluation, clinical or hosted verification. |
|
|
| Runtime state: `PASS`. Rights and release approval are separate. See `RELEASE_VERIFICATION.json`. No paper or conference submission is included as a new software result. |
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