Paper Citation Record · LEDGER

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data

As of 22 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2508.02625.

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

pith.paper-citation-record.v1
2508.02625 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:42:58.921815Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

verified exact4
verified fuzzy14
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 42de993c-8ae0-4a14-ba91-f2ad22e9548b · outbound

This paper cites Why do tree-based models still outperform deep learning on tabular data?.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Why do tree-based models still outperform deep learning on tabular data?

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T17:42:58.781389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ce59960-fc33-445c-80d2-db9db4e93ad7 · outbound

This paper cites Why do tree-based models still outperform deep learning on tabular data?.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Why do tree-based models still outperform deep learning on tabular data?

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:42:59.674301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4473f2dd-8f0a-48b4-ba6c-2e839aeb703a · outbound

This paper cites Deep Neural Networks and Tabular Data: A Survey.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Deep Neural Networks and Tabular Data: A Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T17:42:58.794241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dac2164e-b21b-41b2-b3b7-f23255f6c1c5 · outbound

This paper cites Kuhn and K.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Kuhn and K

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:42:59.657369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation de3e93f5-54f2-442b-95c3-493d03bd9ae1 · outbound

This paper cites Data preprocessing in data mining,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Data preprocessing in data mining,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:42:59.638667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 063c67c2-a7c5-473b-b9da-368410bfd26a · outbound

This paper cites Handling class imbalance in medical datasets,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Handling class imbalance in medical datasets,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:42:59.616376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 32872992-47c7-4fd0-8679-b75009c53fa1 · outbound

This paper cites A survey on feature selection methods,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data A survey on feature selection methods,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:42:59.597019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 31725736-19cf-4770-b1ff-c19cee5d12a7 · outbound

This paper cites Feurer, A.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Feurer, A

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T17:42:58.823966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5def450-29f7-42d4-a4cc-722b3a334cfa · outbound

This paper cites Scikit-learn: Machine Learning in Python.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Scikit-learn: Machine Learning in Python

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T17:42:58.829025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb11c2df-70be-4e9a-be18-05be7eb030d4 · outbound

This paper cites H2o automl: Scalable automatic machine learning,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data H2o automl: Scalable automatic machine learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:42:59.574581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f8a99a13-ca0c-4ef4-a11a-03b8cde64028 · outbound

This paper cites GAMA: A general automated machine learning assistant,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data GAMA: A general automated machine learning assistant,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T17:42:58.838961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac29df29-d941-4973-bf90-4cfbc1846c85 · outbound

This paper cites Evaluation of a tree-based pipeline optimization tool for automating data science,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Evaluation of a tree-based pipeline optimization tool for automating data science,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T17:42:58.843976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cdf1606-b409-4ba3-9af1-9a00c84af0ac · outbound

This paper cites TPOT2: A new graph-based implementation of the tree-based pipeline optimization tool for automated machine learning,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data TPOT2: A new graph-based implementation of the tree-based pipeline optimization tool for automated machine learning,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T17:42:58.849281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3c23d2b-5475-49a4-b26c-0fad48fd1fcd · outbound

This paper cites Benchmarking Automatic Machine Learning Frameworks.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Benchmarking Automatic Machine Learning Frameworks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T17:42:58.854808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe8e18f8-6979-4968-a0e9-3f2b04874b7a · outbound

This paper cites Automated Imbalanced Learning.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Automated Imbalanced Learning

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-15T17:42:59.006185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 646b65a6-a2a6-4f95-8dd4-c49df0c97a2c · outbound

This paper cites Benchmarking automl frameworks for disease prediction using medical claims,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Benchmarking automl frameworks for disease prediction using medical claims,

Reference 16

Resolution: verified exact; doi, observed 2026-08-15T17:42:58.981769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3dc352fd-0f4d-4ede-a461-27c31b36a75d · outbound

This paper cites Automated machine learning: Review of the state-of-the-art and opportunities for healthcare,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Automated machine learning: Review of the state-of-the-art and opportunities for healthcare,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T17:42:58.871057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9da2726-6707-440d-a018-8583f5a96afe · outbound

This paper cites A method- ology for performing global uncertainty and sensitivity analysis in systems biology,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data A method- ology for performing global uncertainty and sensitivity analysis in systems biology,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:42:59.555961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 85bdfef9-60c0-486a-9d64-8adffa5d219a · outbound

This paper cites Comparison of 3 methods for selecting values of input variables in the analysis of output from a computer code,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Comparison of 3 methods for selecting values of input variables in the analysis of output from a computer code,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:42:59.533445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6ce7ca00-6b30-40ce-af1b-497f09d1f8e2 · outbound

This paper cites Non-parametric statistics in sensitivity analysis for model output: A comparison of selected techniques,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Non-parametric statistics in sensitivity analysis for model output: A comparison of selected techniques,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:42:59.512920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bbb023f8-d853-442f-ae57-93c06b1cd9e3 · outbound

This paper cites Examining the influence of nondimensionalization on partial rank correlation coefficient results when modeling the epithelial mesenchymal transition,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Examining the influence of nondimensionalization on partial rank correlation coefficient results when modeling the epithelial mesenchymal transition,

Reference 21

Resolution: verified exact; doi, observed 2026-08-15T17:42:58.963763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 293a75af-58f6-4535-8053-eeff6562fda4 · outbound

This paper cites Building risk prediction models for type 2 diabetes using machine learning techniques,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Building risk prediction models for type 2 diabetes using machine learning techniques,

Reference 22

Resolution: verified exact; raw_fallback, observed 2026-08-15T17:42:59.161240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c24705f-a9af-4234-89b5-2a12e158bd56 · outbound

This paper cites The immunology of multiple sclerosis,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data The immunology of multiple sclerosis,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:42:59.491937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 20f19b3c-e403-4dda-9e85-6d5742f1b9c2 · outbound

This paper cites Multiple scle- rosis genomic map implicates peripheral immune cells and microglia in susceptibility,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Multiple scle- rosis genomic map implicates peripheral immune cells and microglia in susceptibility,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:42:59.472264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6ffdea21-0e0a-4948-9be3-121ba8f230f1 · outbound

This paper cites Lifestyle and environmental factors in multiple sclerosis,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Lifestyle and environmental factors in multiple sclerosis,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:42:59.449414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7871df91-36af-49a6-8971-854a0daec2a1 · outbound

This paper cites Rising prevalence of multiple sclerosis worldwide: Insights from the atlas of ms, third edition,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Rising prevalence of multiple sclerosis worldwide: Insights from the atlas of ms, third edition,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:42:59.429835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 330f2eb9-3d76-4624-b606-5dd1f54e9bce · outbound

This paper cites Economic costs of diabetes in the U.S. in 2007,.

AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data Economic costs of diabetes in the U.S. in 2007,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:42:59.411720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.