The archived Living Review¶
The original HEP–ML Living Review is preserved in its final state as a static archive. It remains a useful bibliographic record of the HEP–ML literature until 1 June 2026.
What it is¶
A near-comprehensive list of machine-learning applications in particle physics, covering 2014 until 1 June 2026. Categories follow the taxonomy of the original Review.
When to use it¶
The archived Review is the right resource when you need:
- A historical record of HEP–ML publications until 1 June 2026
- A starting point for systematic bibliometric analysis
- Coverage of papers that pre-date the Living Guide
It is not the right resource for:
- Orientation in a current subfield — use the relevant section of the Guide instead
- Up-to-date pointers — the Review is frozen
- Curated reading lists — the Review is comprehensive, not selective
How to access it¶
- Web: https://iml-wg.github.io/HEPML-LivingReview/
- Repository (read-only): https://github.com/iml-wg/HEPML-LivingReview
- arXiv: arXiv:2102.02770
- Zenodo archive: https://zenodo.org/records/21626667 (DOI 10.5281/zenodo.21626667, release
v2026.06.01)
How to cite it¶
The archived Review remains citable. Cite the original arXiv paper for the methodology and overview, and the Zenodo record for the specific archived snapshot — the latter is what pins the literature coverage to 1 June 2026, so it is the right reference if the exact contents matter.
@misc{krause_2026_21626667,
author = {Krause, Claudius and Winterhalder, Ramon and Feickert, Matthew
and Nachman, Benjamin and Raine, John and {HEP-ML Community}},
title = {{A Living Review of Machine Learning for Particle Physics}},
month = {6},
year = {2026},
publisher = {Zenodo},
version = {v2026.06.01},
doi = {10.5281/zenodo.21626667},
url = {https://zenodo.org/records/21626667}
}