Paper Citation Record · LEDGER

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses

As of 16 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2501.04547.

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

pith.paper-citation-record.v1
2501.04547 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:32:04.067658Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:23:50.100833Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:23:50.152849Z

Reference resolution

36 of 36 outbound references displayed

verified exact1
verified fuzzy17
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2e2db370-240d-4a73-889a-93761f5c5e61 · outbound

This paper cites & Kohane, I.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses & Kohane, I

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:32:04.754456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 153920d5-b5f6-471d-b6c8-0a1c63f19f00 · outbound

This paper cites an unresolved cited work.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:32:04.738165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 33adc448-27dd-4852-a269-08cfcbbc606c · outbound

This paper cites & Fiocco, M.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses & Fiocco, M

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:32:04.724993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fb4d9f13-af38-4cfd-8f74-a2e8e8eae69e · outbound

This paper cites an unresolved cited work.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:32:03.926123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdd43f14-2f92-4143-b4b9-13cf2d2e5ffb · outbound

This paper cites an unresolved cited work.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:32:03.930386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfbe9a27-bd4f-4a51-affa-9f7b7438229b · outbound

This paper cites an unresolved cited work.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:32:04.692355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f742e990-b15c-4a60-87fc-ba90dad249b1 · outbound

This paper cites & Fiore-Gartland, B.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses & Fiore-Gartland, B

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:32:04.678220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e6ff66a1-9b6c-4ac9-a48e-5606abc27740 · outbound

This paper cites an unresolved cited work.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:32:03.943217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27464bfb-f8a5-4394-a8ce-a03e9aad0770 · outbound

This paper cites & Ghahramani, Z.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses & Ghahramani, Z

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:32:04.650521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 64a51d98-7f29-4452-8df3-e45e21934b0f · outbound

This paper cites an unresolved cited work.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:32:04.631940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4fe1c728-4560-4b58-b196-5dc2796e6e2d · outbound

This paper cites M., Veen, D.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses M., Veen, D

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:32:04.613522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 672ed650-1c8e-40f2-9a48-75f38bcdb812 · outbound

This paper cites T., Ting, K.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses T., Ting, K

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:32:04.596915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2029f478-cf77-4fbe-be06-3478d0333333 · outbound

This paper cites V., Ershov, V.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses V., Ershov, V

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:32:03.961063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4653fe4-397d-4d70-aebf-15390e01a08e · outbound

This paper cites C., Long, F.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses C., Long, F

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:32:04.571148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dcfce8da-9177-4341-9971-9d3b8523da13 · outbound

This paper cites Random Forest.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Random Forest

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:32:04.554000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 525b9760-aae6-4360-a909-38f8491887fe · outbound

This paper cites an unresolved cited work.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:32:04.534050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation da02bfe9-6972-4864-88fb-8893953e6b50 · outbound

This paper cites & Jenkins, M.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses & Jenkins, M

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:32:04.517523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0ce938be-a48c-4ea1-bd7a-a7ceb71407f4 · outbound

This paper cites an unresolved cited work.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:32:04.502250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation de6ef43c-38ee-4c21-ae1d-46bf564baeb0 · outbound

This paper cites an unresolved cited work.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:32:04.488677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 28d1bf89-d38b-4114-b510-d1b0d627a7db · outbound

This paper cites & El-Anbari, M.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses & El-Anbari, M

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:32:04.469204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c944b182-e600-4839-96fe-b91f7804955b · outbound

This paper cites & Jurman, G.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses & Jurman, G

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:32:04.453919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8cea80a7-8f77-455d-ac10-66a05a57b594 · outbound

This paper cites an unresolved cited work.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:32:04.441785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 784f9f9f-49a1-4012-833c-a6c6e1df4a50 · outbound

This paper cites ExplaineR: an R package to explain machine learning models.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses ExplaineR: an R package to explain machine learning models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:32:04.007040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 166a6fab-f7f6-4210-80dd-993be6a6ea16 · outbound

This paper cites an unresolved cited work.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T21:32:04.011567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93725c6e-3104-4196-b310-c764ccf1707d · outbound

This paper cites scikit-survival: A Library for Time-to-Event Analysis Built on Top of scikit-learn.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses scikit-survival: A Library for Time-to-Event Analysis Built on Top of scikit-learn

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:32:04.417947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c2b3293f-d795-4d6d-a386-448264cfb73a · outbound

This paper cites Experimental Comparison of Ensemble Methods and Time-to-Event Analysis Models Through Integrated Brier Score and Concordance Index.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Experimental Comparison of Ensemble Methods and Time-to-Event Analysis Models Through Integrated Brier Score and Concordance Index

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:32:04.148637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation eea7ad69-c418-4bf6-a703-be952b6d9949 · outbound

This paper cites & Biecek, P.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses & Biecek, P

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:32:04.402150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bb916804-7b99-49b2-9a6e-7d346b16b9d1 · outbound

This paper cites & Street, W.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses & Street, W

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:32:04.033173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1190e7b2-99ad-4e3e-86c8-c38357c079be · outbound

This paper cites & Amenta, F.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses & Amenta, F

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:32:04.386881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cc2fb874-10cd-4a9c-94c4-24cbeb75b439 · outbound

This paper cites an unresolved cited work.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:32:04.370673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7272f86e-3778-41ae-beeb-876273767b23 · outbound

This paper cites & Poirier, S.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses & Poirier, S

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:32:04.355575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 37fcdd70-e67e-4805-86e1-b8ef50a5a474 · outbound

This paper cites A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T21:32:04.051508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b485f3c-8c8e-4f91-89b4-192d1e87f374 · outbound

This paper cites an unresolved cited work.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:32:04.340663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bb72c8d3-65c4-4633-a682-b5c027ead438 · outbound

This paper cites an unresolved cited work.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:32:04.327679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a9acc160-475d-4d23-b31f-f4348c207239 · outbound

This paper cites V, Bowyer, K.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses V, Bowyer, K

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:32:04.187387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 877d8b5c-4a5b-425e-82b1-9986ebff4acc · outbound

This paper cites & Groothuis-Oudshoorn, K.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses & Groothuis-Oudshoorn, K

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:32:04.167660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 92dcf939-8940-4f3b-89f6-21af2e316c72 · inbound

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research cites this paper.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:23:50.158505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.