NOTICE

Qlro is released under the Apache License 2.0 (see LICENSE).

The Python package is published on PyPI and can be installed with:

pip install qlro

What is in this repository

This GitHub repository contains:

• Project metadata (pyproject.toml)
• License (LICENSE)
• This notice
• README

The repository does not currently hold the full source tree. The implementation is distributed via the PyPI wheel.

Why

Several core algorithms — in particular the adaptive 1-shot calibration procedure (paper §8.10.9) and the cryptographically-bound decision-record minting flow — are subject to pending patent applications and are not yet committed to a public source repository.

The PyPI wheel ships the Apache-2.0-licensed implementation so users can install, study, and run the package. Source-only redistribution that bypasses the published wheel (for example by re-deriving the algorithms from observed binary behaviour for the purpose of working around the patent claims) is not within the spirit of either Apache 2.0 or the patent license grants in this distribution.

When this changes

This repository will be expanded to include the full source tree after the relevant patent applications are filed. Each expansion will be a single squash commit with a release-tagged version that matches the PyPI version at that time.

Reference implementation

The published WCPP framework paper is the canonical reference for the methodology:

DOI: 10.5281/zenodo.19785800 (v1.2)

The paper contains the full mathematical specification, validation experiments, and discussion of the calibration result; the open-source PyPI wheel implements it.

Questions

Please file an issue at github.com/linsletoh/qlro/issues, or contact the maintainers at the email listed on the PyPI project page.