kdpom420/mamba2-inventory-hazard: Initial public release

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Authors: kdpom420
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Abstract

This release provides the first public implementation of a latent-state-driven hazard model for probabilistic inventory risk using Mamba-2. The method converts Mamba hidden state energy into a hazard rate governing inventory survival, enabling DOC-based stockout probability estimation. This release establishes the method as prior art.

Fields of Study & Subjects

Supply Chain and Inventory Management Reliability and Maintenance Optimization Forecasting Techniques and Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 January 2026