Paper Citation Record · LEDGER

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings

As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2509.03522.

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

pith.paper-citation-record.v1
2509.03522 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:47:12.495880Z

measured 32 of 32 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

32 of 32 outbound references displayed

verified exact11
verified fuzzy10
unresolved4
parse uncertain0
malformed identifier4
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d0ade73-729d-4d12-8061-7e4e847a3b2e · outbound

This paper cites Econometrica 70(1), 191–221 (2002).https://doi.org/https://doi.org/10.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Econometrica 70(1), 191–221 (2002).https://doi.org/https://doi.org/10

Reference 1

Resolution: malformed identifier; no resolver link, observed 2026-08-05T18:47:09.762757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc385861-8bc6-423f-8a4f-f84cfc11dc01 · outbound

This paper cites Grounded Theory Review08(2) (Jun 2009), Posted on Jun 30, 2009.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Grounded Theory Review08(2) (Jun 2009), Posted on Jun 30, 2009

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:47:18.192676Z

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 4fce9d86-f0c6-4c01-b2be-7e93521aa18d · outbound

This paper cites Machine Learning45(1), 5–32 (2001).https://doi.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Machine Learning45(1), 5–32 (2001).https://doi

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T18:47:09.952125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8924954-6f5e-4dc0-b205-ed7b4bc08bc8 · outbound

This paper cites JAMA Surg.153(4), e176233 (2018).https://doi.org/10.1001/jamasurg.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings JAMA Surg.153(4), e176233 (2018).https://doi.org/10.1001/jamasurg

Reference 4

Resolution: malformed identifier; no resolver link, observed 2026-08-05T18:47:10.042693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c04a248-fae0-4db2-928a-4490423b7698 · outbound

This paper cites Health Care Manage Sci10, 13–24 (2007).

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Health Care Manage Sci10, 13–24 (2007)

Reference 5

Resolution: verified exact; doi, observed 2026-08-05T18:47:13.995446Z

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 9a6172bf-b603-47a7-8d03-56757b04f404 · outbound

This paper cites (eds.): The SAGE Handbook of Qualitative Research.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings (eds.): The SAGE Handbook of Qualitative Research

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:47:17.811816Z

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 f84ae36b-7298-4dac-aa87-59cf720abc46 · outbound

This paper cites In: Wiley Encyclopedia of Operations Research and Management Science.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings In: Wiley Encyclopedia of Operations Research and Management Science

Reference 7

Resolution: verified exact; doi, observed 2026-08-05T18:47:13.876371Z

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 af18ae5f-c02b-4acd-8a0f-161d984b1235 · outbound

This paper cites JMIR Perioper Med6, e39650 (2023).

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings JMIR Perioper Med6, e39650 (2023)

Reference 8

Resolution: malformed identifier; doi_truncated, observed 2026-08-05T18:47:13.721302Z

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 ae0cccaf-18d6-4302-ba82-2438bb245c7f · outbound

This paper cites Sociology Press (1967).

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Sociology Press (1967)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:47:17.520670Z

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 f5506c7e-8820-4207-a790-36ee9a45907d · outbound

This paper cites Journal of the Royal Statistical Society.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Journal of the Royal Statistical Society

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:47:17.314602Z

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 67203804-9b22-4026-bf49-9ec241b78baf · outbound

This paper cites Gradient Boosting Machine: A Survey.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Gradient Boosting Machine: A Survey

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T18:47:10.679176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d45d2ea-26c1-485e-9ff9-9f70e08952d1 · outbound

This paper cites In: AMIA Annual Symposium Proceedings.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings In: AMIA Annual Symposium Proceedings

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:47:17.134001Z

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 58eee6b5-bbd4-4c69-90b9-b6fd43d14032 · outbound

This paper cites Oxford University Press (2022).

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Oxford University Press (2022)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:47:16.863781Z

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 dd959817-6652-4e6e-9639-a7a16d711c14 · outbound

This paper cites an unresolved cited work.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Unresolved cited work

Reference 14

Resolution: verified exact; doi, observed 2026-08-05T18:47:13.582280Z

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 2e0701ba-ddb0-4e53-a282-d378baf6b8c0 · outbound

This paper cites Br J Anaesth128(5), 829–837 (2022).https: //doi.org/10.1016/j.bja.2022.01.017.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Br J Anaesth128(5), 829–837 (2022).https: //doi.org/10.1016/j.bja.2022.01.017

Reference 15

Resolution: verified exact; doi, observed 2026-08-05T18:47:13.419787Z

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 551fc382-e57b-4644-b687-8faab88cdc00 · outbound

This paper cites JMIR AI2, e44909 (2023).

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings JMIR AI2, e44909 (2023)

Reference 16

Resolution: malformed identifier; doi_truncated, observed 2026-08-05T18:47:13.291822Z

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 3894a5bf-6dfb-4efa-9ae6-4d2fb3d2fb20 · outbound

This paper cites Addison-Wesley Professional, Hoboken, NJ, first edition edn.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Addison-Wesley Professional, Hoboken, NJ, first edition edn

Reference 17

Resolution: verified exact; raw_fallback, observed 2026-08-05T18:47:15.326166Z

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 7b543d87-331a-4293-91d2-c18dd5104279 · outbound

This paper cites Comput Methods Programs Biomed208, 106220 (2021).

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Comput Methods Programs Biomed208, 106220 (2021)

Reference 18

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T18:47:15.118849Z

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 ec17f419-cf33-46ee-9415-351f6b313a10 · outbound

This paper cites SIGKDD Explor.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings SIGKDD Explor

Reference 19

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T18:47:14.889959Z

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 0c380e4d-d856-4793-96be-7e8b5af55672 · outbound

This paper cites Otolaryngol Head Neck Surg168, 241–247 (2023).https://doi.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Otolaryngol Head Neck Surg168, 241–247 (2023).https://doi

Reference 20

Resolution: verified exact; doi, observed 2026-08-05T18:47:13.117352Z

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 0027c5e7-f97e-48af-bfbf-eb6f8ec80620 · outbound

This paper cites Routledge, Abingdon, Oxon; New York, NY, fifth edition edn.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Routledge, Abingdon, Oxon; New York, NY, fifth edition edn

Reference 21

Resolution: verified exact; raw_fallback, observed 2026-08-05T18:47:14.681605Z

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 5970134a-7420-47b3-9655-91fd9312fc68 · outbound

This paper cites an unresolved cited work.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:47:16.595354Z

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 7554a441-c38b-4240-80cd-d5b26a19aeb9 · outbound

This paper cites J Med Syst49, 8 (2025).

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings J Med Syst49, 8 (2025)

Reference 23

Resolution: verified exact; doi, observed 2026-08-05T18:47:12.980191Z

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 f3ab0237-1742-418a-ba4b-7d3a9141c420 · outbound

This paper cites BMC Health Serv Res23, 1343 (2023).

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings BMC Health Serv Res23, 1343 (2023)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:47:16.324849Z

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 18c40a15-ab6f-4e7c-a2a9-b1500fe19d7d · outbound

This paper cites Semin Pediatr Surg27(2), 79–85 (2018).

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Semin Pediatr Surg27(2), 79–85 (2018)

Reference 25

Resolution: verified exact; doi, observed 2026-08-05T18:47:12.836916Z

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 44cc7c81-16c2-4af9-8eef-633c3956309c · outbound

This paper cites Oxford University Press (2011).

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Oxford University Press (2011)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:47:16.134602Z

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 450d0e9f-84e9-4724-931c-bf2ce6587f06 · outbound

This paper cites J Med Syst44, 42 (2020).

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings J Med Syst44, 42 (2020)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:47:15.971720Z

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 2d05a221-493d-4bd7-9c3a-7eb1aa0dbab1 · outbound

This paper cites JAMA Surg.156(4), 315–321 (2021).https: //doi.org/10.1001/jamasurg.2020.6361.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings JAMA Surg.156(4), 315–321 (2021).https: //doi.org/10.1001/jamasurg.2020.6361

Reference 28

Resolution: verified exact; raw_fallback, observed 2026-08-05T18:47:14.456475Z

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 7f93392b-9161-406d-9861-c1b0cbd5e6eb · outbound

This paper cites verywellhealth.com/perioperative-defined-3157137, accessed: 2 January 2025.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings verywellhealth.com/perioperative-defined-3157137, accessed: 2 January 2025

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:47:15.776491Z

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 90d46c7c-97b9-4690-8549-aea7211c1083 · outbound

This paper cites Informatics Med Unlocked 25, 100633 (2021).https://doi.org/10.1016/j.imu.2021.100633.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings Informatics Med Unlocked 25, 100633 (2021).https://doi.org/10.1016/j.imu.2021.100633

Reference 30

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T18:47:14.249052Z

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 60035f49-0d89-448c-94db-c1b6908d0fa2 · outbound

This paper cites ACM Trans.

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings ACM Trans

Reference 31

Resolution: verified exact; doi, observed 2026-08-05T18:47:12.700756Z

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 1377d051-4f9c-4dff-91f3-dd7087b4bc3b · outbound

This paper cites J Comb Optim 37, 757–805 (2019).

A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings J Comb Optim 37, 757–805 (2019)

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T18:47:12.495880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.