Paper Citation Record · LEDGER

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research

As of 23 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2502.00902.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.00902 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:21:02.708760Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T19:17:06.371004Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T15:46:48.531430Z

Reference resolution

45 of 45 outbound references displayed

verified exact4
verified fuzzy34
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c6c8dae-481f-4902-998d-fe375ee63bb9 · outbound

This paper cites an unresolved cited work.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T17:21:02.574184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9cd3936-8acb-4dfc-943e-ddc8534375b0 · outbound

This paper cites JAX : composable transformations of P ython+ N um P y programs, 2025.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research JAX : composable transformations of P ython+ N um P y programs, 2025

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:03.093029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4a8c74c0-2c13-49fc-a715-4c79916b4228 · outbound

This paper cites The ml test score: A rubric for ml production readiness and technical debt reduction.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research The ml test score: A rubric for ml production readiness and technical debt reduction

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:03.084789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fff995f2-931b-439d-81aa-db972f0f1aa8 · outbound

This paper cites an unresolved cited work.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-09T17:21:03.076990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fb659e7b-3380-4d94-a21b-740e1f10fec2 · outbound

This paper cites Pep 751 – a file format to record python dependencies for installation reproducibility, 2024.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Pep 751 – a file format to record python dependencies for installation reproducibility, 2024

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:03.069491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 17590b62-7985-491b-8708-1541cadca0ca · outbound

This paper cites Pep 621 – storing project metadata in pyproject.toml, 2020.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Pep 621 – storing project metadata in pyproject.toml, 2020

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:03.061364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eae375fe-e417-4ef2-bfb3-8585dafcece6 · outbound

This paper cites Conda documentation, 2025.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Conda documentation, 2025

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:03.053322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a9738f7-77db-4591-92e8-0325af11a491 · outbound

This paper cites Chex documentation, 2025.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Chex documentation, 2025

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:03.043238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 58557f46-9683-44ae-9752-3d9ef8cdac0a · outbound

This paper cites Manual for package pgfplots.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Manual for package pgfplots

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:03.035381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e67c05c6-ba75-47d0-82f2-7aebb58672fd · outbound

This paper cites Pdfx, 2021.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Pdfx, 2021

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:03.027501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f02ab99-c6ce-4eb1-9c23-6b3c842f3e20 · outbound

This paper cites 38 Mason Christopher E.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research 38 Mason Christopher E

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:03.017811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 91836bbc-c139-452a-9533-a0ae5b6ebaac · outbound

This paper cites Hatch documentation, 2025.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Hatch documentation, 2025

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:03.008258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 79f16c38-6331-4360-a8e9-88571f759e10 · outbound

This paper cites Reproducibility standards for machine learning in the life sciences.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Reproducibility standards for machine learning in the life sciences

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.999800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 85da7742-2414-49eb-87ec-42fb7bae72db · outbound

This paper cites Improving reproducibility and reusability in the journal of cheminformatics.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Improving reproducibility and reusability in the journal of cheminformatics

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.989647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f897ca57-b854-4d4d-af10-c1ecfb4f9a5b · outbound

This paper cites Artificial intelligence faces reproducibility crisis.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Artificial intelligence faces reproducibility crisis

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.980340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a6ca3492-a830-4e37-b334-32796fc7b51c · outbound

This paper cites Software engineering for computational science: Past, present, future.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Software engineering for computational science: Past, present, future

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.971659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d00e3c23-1ba2-4bf6-ad66-ce63eeac832d · outbound

This paper cites Ten simple rules for developing usable software in computational biology.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Ten simple rules for developing usable software in computational biology

Reference 17

Resolution: verified exact; doi, observed 2026-08-09T17:21:02.766871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a24008c2-0cb8-4a1c-bf45-0d33b3d2ec0b · outbound

This paper cites mypy, 2025.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research mypy, 2025

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.963547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d53d3246-4699-45e8-82a8-87b1db8b8888 · outbound

This paper cites Automatic differentiation in pytorch.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Automatic differentiation in pytorch

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.955227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a31e011b-fb42-4e19-a2e1-2fa55784de25 · outbound

This paper cites Eglen, Daniel S.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Eglen, Daniel S

Reference 20

Resolution: verified exact; doi, observed 2026-08-09T17:21:02.757798Z

Source-reported events for the cited work

correction dated 2019-06-14. Source: crossref record 10.1371/journal.pcbi.1007142->10.1371/journal.pcbi.1004947:correction, observed 2026-07-11T03:09:24.399304+00:00. This notice travels one citation hop only.

Observation f172ccf6-5214-4344-a3e2-62bb4a131c4c · outbound

This paper cites Improving reproducibility in machine learning research (a report from the neurips 2019 reproducibility program).

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Improving reproducibility in machine learning research (a report from the neurips 2019 reproducibility program)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.946308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1dbe4a12-7813-40a3-85ed-4220a55523d8 · outbound

This paper cites Requirements file format - pip documentation v25.0, 2025.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Requirements file format - pip documentation v25.0, 2025

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.937099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 25ec3d12-62ee-4c8d-ad39-87e8b55cc816 · outbound

This paper cites The logic of scientific discovery.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research The logic of scientific discovery

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T17:21:02.643655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b04125c1-edcc-4a62-8638-3e86a5890f57 · outbound

This paper cites Ml reproducibility challenge, 2025.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Ml reproducibility challenge, 2025

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.922673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c81087e-e80a-436a-8dbd-f94a9a70d5e9 · outbound

This paper cites an unresolved cited work.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Unresolved cited work

Reference 25

Resolution: verified exact; doi, observed 2026-08-09T17:21:02.749811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2e84c9fd-5805-493e-aa61-7c79948b8e93 · outbound

This paper cites Pytest documentation, 2025.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Pytest documentation, 2025

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.912836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0fc026d6-a8fc-42f9-b097-59db64216a48 · outbound

This paper cites unittest - unit testing framework, 2025.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research unittest - unit testing framework, 2025

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.904544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f943ea31-8ef3-456e-84cf-4d902998c520 · outbound

This paper cites Packaging python-projects, 2025.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Packaging python-projects, 2025

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.896391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cf967877-776d-4c5f-9d13-bb9080759b2a · outbound

This paper cites Reproducibility, 2024.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Reproducibility, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.888066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7c4d872-757a-477b-993d-068e82191d42 · outbound

This paper cites A step toward quantifying independently reproducible machine learning research.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research A step toward quantifying independently reproducible machine learning research

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T17:21:02.666214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fd002b3-c476-45bf-a2c4-352cbbaa75e0 · outbound

This paper cites Research reproducibility as a survival analysis.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Research reproducibility as a survival analysis

Reference 31

Resolution: verified exact; doi, observed 2026-08-09T17:21:02.741567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 24c024e5-aef4-4efc-a281-c53d6ff870ec · outbound

This paper cites Does the market of citations reward reproducible work? In Proceedings of the 2023 ACM Conference on Reproducibility and Replicability, pp.\ 89--96, 2023.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Does the market of citations reward reproducible work? In Proceedings of the 2023 ACM Conference on Reproducibility and Replicability, pp.\ 89--96, 2023

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.875452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 45e830d7-33fe-42ac-af66-0cd70c1b5580 · outbound

This paper cites A siren song of open source reproducibility, examples from machine learning.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research A siren song of open source reproducibility, examples from machine learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T17:21:02.674646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90823b0f-639f-4c18-897d-4ae54ce014ab · outbound

This paper cites Beautiful soup documentation, 2023.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Beautiful soup documentation, 2023

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.862086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4b47bd54-fca8-4bb6-85ac-482c231910e8 · outbound

This paper cites Pep 484 – type hints, 2014.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Pep 484 – type hints, 2014

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.854183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b386d9f9-28b1-4370-88cd-5f46efaec6fe · outbound

This paper cites Ten simple rules for reproducible computational research.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Ten simple rules for reproducible computational research

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T17:21:02.682686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2921b8e5-d24f-4a9d-b89f-308c10c2440c · outbound

This paper cites Setuptools documentation, 2025.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Setuptools documentation, 2025

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.844341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ae4d109a-8421-4bbb-a0ee-b073b3d267b1 · outbound

This paper cites Smith, Thomas Kluyver, and Alyssa Coghlan.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Smith, Thomas Kluyver, and Alyssa Coghlan

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.835946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6e2775f5-9af4-4c83-8b72-c8af5cdfe946 · outbound

This paper cites The need for open source software in machine learning.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research The need for open source software in machine learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.827252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 238f45b6-2270-40dc-a59f-293f61525e03 · outbound

This paper cites Sphinx documentation, 2025.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Sphinx documentation, 2025

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.818404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 58272dbb-24d9-4d2a-8322-5b82228d62d8 · outbound

This paper cites Tips for releasing research code in machine learning (with official neurips 2020 recommendations), 2020.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Tips for releasing research code in machine learning (with official neurips 2020 recommendations), 2020

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.809501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a2a7d94-946e-4a6b-8ac0-1e85e8816f4b · outbound

This paper cites A practical taxonomy of reproducibility for machine learning research.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research A practical taxonomy of reproducibility for machine learning research

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.800016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 07993a90-ce3a-4a0f-9c3c-abf5ca927bd3 · outbound

This paper cites Pep 8 -- style guide for python code, 2001.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research Pep 8 -- style guide for python code, 2001

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.790351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4e8516b2-1fbf-4ba2-ae7a-3294e9a64063 · outbound

This paper cites The five pillars of computational reproducibility: bioinformatics and beyond.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research The five pillars of computational reproducibility: bioinformatics and beyond

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T17:21:02.780788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c2dae1c6-41be-4554-a80c-346993183700 · outbound

This paper cites write newline.

More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research write newline

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T17:21:02.708760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a2160e89-6fb9-4155-810b-0a97bafab851 · inbound

Can Coding Agents Reproduce Findings in Computational Materials Science? cites this paper.

Can Coding Agents Reproduce Findings in Computational Materials Science? More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:46:48.536374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.