Paper Citation Record · LEDGER

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

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2501.14094.

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

pith.paper-citation-record.v1
2501.14094 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:23:50.105548Z

measured 28 of 28 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 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

28 of 28 outbound references displayed

verified exact2
verified fuzzy12
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7eab786-510a-41a9-991d-e9d8a7a9f706 · outbound

This paper cites an unresolved cited work.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:23:50.551237Z

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 24840de6-5569-4e78-aa85-197c0ab6dc44 · outbound

This paper cites https://www.cdisc.org/ (2024).

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research https://www.cdisc.org/ (2024)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:23:50.541550Z

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 6f088ec8-bc41-440f-8e6e-2e895c28a936 · outbound

This paper cites & Huser, V.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research & Huser, V

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:23:50.531890Z

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 284ea848-46c7-4887-86d2-826e0d1f3c2f · outbound

This paper cites K., Nossent, J., Woldegiorgis, B.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research K., Nossent, J., Woldegiorgis, B

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:23:50.521288Z

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 b91a9834-ec69-4093-b357-95f76eac924a · outbound

This paper cites M., Lee, J.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research M., Lee, J

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:23:50.509810Z

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 c2214680-3121-463a-bdae-68fa4bb6e4c0 · outbound

This paper cites & Sun, J.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research & Sun, J

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:23:50.499026Z

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 b2d0ddd4-f79a-413c-b21c-ca2307d99ae9 · outbound

This paper cites & Weinberger, K.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research & Weinberger, K

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:23:50.488156Z

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 0a870166-a012-421b-b729-8c4fed7f36a1 · outbound

This paper cites & Brox, T.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research & Brox, T

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:23:50.476784Z

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 99dd9ea4-8536-40a6-8cdf-418551e3fc68 · outbound

This paper cites an unresolved cited work.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:23:50.466268Z

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 8b96548c-949c-4902-ac2c-5f94b6927e43 · outbound

This paper cites V., Ershov, V.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research V., Ershov, V

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:23:50.454075Z

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 d59ecb2a-623d-44b9-93c9-eb4fc9e7a4d4 · outbound

This paper cites Deep Time Series Models: A Comprehensive Survey and Benchmark.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research Deep Time Series Models: A Comprehensive Survey and Benchmark

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T15:23:50.037870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52e282a7-ae8f-4e4c-a712-ba95111b615f · outbound

This paper cites an unresolved cited work.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:23:50.443387Z

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 174d4851-56e3-44f7-a6e3-af49c8e6a724 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research A Comprehensive Overview of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T15:23:50.045897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a3989a2-fb3c-4315-b5e8-1c9c06ada0d8 · outbound

This paper cites & Wager, S.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research & Wager, S

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:23:50.431520Z

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 808f7025-1a2e-4253-9119-0a1180c1ac4b · outbound

This paper cites an unresolved cited work.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:23:50.419676Z

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 8ee9d333-a541-4758-a9b0-bfc0f9556ec6 · outbound

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

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research ExplaineR: an R package to explain machine learning models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:23:50.408407Z

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 af776695-8ec9-4079-a5e0-902d96e585f6 · outbound

This paper cites & others.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research & others

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:23:50.397614Z

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 5ce27c10-12ab-4e1b-873e-295ae2642fba · outbound

This paper cites Python data science handbook: Essential tools for working with data.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research Python data science handbook: Essential tools for working with data

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:23:50.387231Z

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 986622f2-4bd7-465b-80b0-0ea40bfd57f9 · outbound

This paper cites an unresolved cited work.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:23:50.376234Z

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 ef64f823-c84e-4001-b8c1-3931ef26cf1d · outbound

This paper cites an unresolved cited work.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:23:50.363569Z

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 7b4d1645-df38-421b-a001-56f085d473a5 · outbound

This paper cites an unresolved cited work.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:23:50.352034Z

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 9703ea41-62dd-4a64-b030-b038e9cf23e6 · outbound

This paper cites an unresolved cited work.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:23:50.340117Z

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 7f2a201d-4d73-40f4-a550-c90ff15c6632 · outbound

This paper cites an unresolved cited work.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:23:50.229207Z

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 376b19f7-ebc0-4573-be6e-ff1c3653f5fc · outbound

This paper cites an unresolved cited work.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:23:50.217732Z

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 47b93ef0-ed4a-4efb-900c-200bfc605a21 · outbound

This paper cites an unresolved cited work.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T15:23:50.092627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23b2153a-a8f2-456f-82d8-61043d78bd6b · outbound

This paper cites Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science with Table-Specific Pretraining.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science with Table-Specific Pretraining

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T15:23:50.096672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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.

Observation 49f0622e-ed21-408f-b17c-e0f892566470 · outbound

This paper cites an unresolved cited work.

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research Unresolved cited work

Reference 28

Resolution: verified exact; doi, observed 2026-08-10T15:23:50.139469Z

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

No inbound Pith citation observations are available.