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# Split-Flows: Measure Transport and Information Loss Across Molecular Resolutions
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<div align="center">
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![Python Version](https://img.shields.io/badge/python-3.9%20%7C%203.10%20%7C%203.11%20%7C%203.12-blue)
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![Tests](https://github.com/hummerichsander/split-flows/actions/workflows/pytest.yml/badge.svg)
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![UV Install Check](https://github.com/hummerichsander/split-flows/actions/workflows/uv-install-check.yml/badge.svg)
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![Tests](https://github.com/hummerichsander/split-flows/actions/workflows/pytest.yml/badge.svg)
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[![codecov](https://codecov.io/gh/hummerichsander/split-flows/branch/public/graph/badge.svg)](https://codecov.io/gh/hummerichsander/split-flows)
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[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
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[![arXiv](https://img.shields.io/badge/arXiv-2511.01464-b31b1b.svg)](https://arxiv.org/abs/2511.01464)
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[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
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</div>
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## Overview
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Split-flows provide a probabilistic bridge between molecular resolutions, enabling conditional backmapping and direct measurement of the configuration-dependent (local) information loss.
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![Figure 1](figures/Figure_1.png)
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## Installation

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