Paper Citation Record · LEDGER

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare

As of 17 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 1 inbound Pith citation observation for arXiv:2505.20020.

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

pith.paper-citation-record.v1
2505.20020 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:05:41.313293Z

measured 70 of 70 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 2026-05-15T20:05:06.786688Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

69 of 69 outbound references displayed

verified exact17
verified fuzzy27
unresolved15
parse uncertain0
malformed identifier3
metadata mismatch7

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 5ed2fffe-ff07-4004-8a4d-a99b61f9463b · outbound

This paper cites BMC Medical Informatics and Decision Making23(1), 8 (2023).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare BMC Medical Informatics and Decision Making23(1), 8 (2023)

Reference 1

Resolution: verified exact; doi, observed 2026-08-07T14:05:45.228055Z

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 1b1d1aea-94f1-4e00-b401-d8b55a2ec544 · outbound

This paper cites JMIR Medical Education10, e51391 (2024).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare JMIR Medical Education10, e51391 (2024)

Reference 2

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Observation 17b3d4ac-ee62-4691-92ba-8aeeb1765696 · outbound

This paper cites International Journal of Population Data Science5(1) (2020).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare International Journal of Population Data Science5(1) (2020)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:54.192224Z

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Observation 4281bb2e-7f27-433a-a383-05ce07b7f058 · outbound

This paper cites Analytics Vidhya, unpublished (2023).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Analytics Vidhya, unpublished (2023)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:54.084596Z

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Observation 869aadf5-bf31-4a3c-8333-3157fb054e1f · outbound

This paper cites Information Fusion96, 156–191 (2023).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Information Fusion96, 156–191 (2023)

Reference 5

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Source-reported events for the cited work

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Observation bf4ab787-d116-483f-ada1-4c500b66d3b0 · outbound

This paper cites an unresolved cited work.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:05:35.095847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9f5a05a-8ea4-4697-898f-e19b68207a1a · outbound

This paper cites Scientific Reports14(1), 29881 (2024).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Scientific Reports14(1), 29881 (2024)

Reference 7

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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 ccef8b64-ee28-4dc5-8509-1d6c73f687a0 · outbound

This paper cites In: Proceedings of the 19th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, GPCE 2020, p.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare In: Proceedings of the 19th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, GPCE 2020, p

Reference 8

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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 304f5b35-e663-4cd9-b4c2-cb065a6e04e2 · outbound

This paper cites Drug Safety20(2), 109–117 (1999).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Drug Safety20(2), 109–117 (1999)

Reference 9

Resolution: verified exact; doi, observed 2026-08-07T14:05:44.562464Z

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 d486038e-9f25-45fa-b402-c7821a3225c5 · outbound

This paper cites In: Proceedings of the 10th USENIX Conference on Operating Systems Design and Implemen- tation (OSDI), pp.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare In: Proceedings of the 10th USENIX Conference on Operating Systems Design and Implemen- tation (OSDI), pp

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:53.950761Z

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 e30f5fef-df97-4115-a4ae-e4524c49699f · outbound

This paper cites Patterns (N Y)5(12), 101098 (2024).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Patterns (N Y)5(12), 101098 (2024)

Reference 11

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Observation 76c21ce2-b1a6-4ea7-8ea3-89c8d308524c · outbound

This paper cites An- alytics India Magazine (2020).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare An- alytics India Magazine (2020)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:53.816258Z

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Observation 6f19a51c-85b8-48f4-96f7-5a96cf195317 · outbound

This paper cites Morgan Kaufmann (2012).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Morgan Kaufmann (2012)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:53.600146Z

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Observation 41555683-e305-4a2e-b229-fc1b964da295 · outbound

This paper cites Studies in Health Technology and Informatics121, 279–290 (2006).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Studies in Health Technology and Informatics121, 279–290 (2006)

Reference 14

Resolution: verified exact; doi, observed 2026-08-07T14:05:44.398166Z

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Observation e9ce487d-f763-48cf-92a4-4d92341b092f · outbound

This paper cites StatPearls [Internet].

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare StatPearls [Internet]

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:53.453802Z

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Observation c8cd95f9-ce8f-4108-96cb-e72742b8a6d9 · outbound

This paper cites JustAct: A Framework for Auditable Multi-Agent Systems Regulated by Inter-Organisational Policies.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare JustAct: A Framework for Auditable Multi-Agent Systems Regulated by Inter-Organisational Policies

Reference 16

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Observation 7663b9e2-02a9-48f6-b6e0-d0c791ef4f43 · outbound

This paper cites an unresolved cited work.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Unresolved cited work

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce8f8450-a53d-42f9-8c1d-91d663f65415 · outbound

This paper cites URL https://www.gartner.com/reviews/market/enterprise-low-code- application-platform.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare URL https://www.gartner.com/reviews/market/enterprise-low-code- application-platform

Reference 18

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Observation f871c9bb-fd2d-4517-bd4e-319e8f0885bf · outbound

This paper cites Journal of the American Medical Informatics Association28(7), 1507–1517 (2021).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Journal of the American Medical Informatics Association28(7), 1507–1517 (2021)

Reference 19

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Observation 7f1c1dd5-29da-487d-87cc-2f1589ba6a97 · outbound

This paper cites URL https://www.grandviewresearch.com/industry- analysis/low-code-application-development-platform-market.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare URL https://www.grandviewresearch.com/industry- analysis/low-code-application-development-platform-market

Reference 20

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Observation d9e110fb-aeca-4026-908e-01cfb8e242dc · outbound

This paper cites New England Journal of Medicine379(15), 1452–1462 (2018).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare New England Journal of Medicine379(15), 1452–1462 (2018)

Reference 21

Resolution: verified exact; doi, observed 2026-08-07T14:05:44.006418Z

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Observation 4de98c96-4336-4a80-a444-24cb3385437a · outbound

This paper cites In: International Conference on Extending Database Technology (2025).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare In: International Conference on Extending Database Technology (2025)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:52.690762Z

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 26d20838-5c03-4508-bd7d-382ff4cb9204 · outbound

This paper cites https://www.docker.com/ (2024).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare https://www.docker.com/ (2024)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:52.441134Z

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

Observation 77fce270-95f4-44df-bbde-6fdbeefcceb1 · outbound

This paper cites Computers in Biology and Medicine171, 108189 (2024).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Computers in Biology and Medicine171, 108189 (2024)

Reference 24

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T14:05:47.179165Z

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Observation 01d7693c-3dee-4940-bf60-8686faea2c96 · outbound

This paper cites URL https://doi.org/10.13026/C2XW26.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare URL https://doi.org/10.13026/C2XW26

Reference 25

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Observation 4163a2ee-25f5-4da4-9a03-8780dafce63f · outbound

This paper cites https://kidsfirstdrc.org/.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare https://kidsfirstdrc.org/

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:52.181486Z

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This paper cites DOI 10.5281/zenodo.15411810.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare DOI 10.5281/zenodo.15411810

Reference 28

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Observation fa6bc0a2-5a34-4f19-bfdf-b7ea69adae57 · outbound

This paper cites PLOS ONE12(5), e0177459 (2017).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare PLOS ONE12(5), e0177459 (2017)

Reference 29

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Observation 659d3471-035d-4f9d-9803-8c0c1431ac70 · outbound

This paper cites Nucleic Acids Research49(D1), D1207–D1217 (2021).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Nucleic Acids Research49(D1), D1207–D1217 (2021)

Reference 30

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Observation f91f42d0-6805-4b57-ad80-4eaf59cb5fea · outbound

This paper cites Journal of Biomedical Informatics46(1), 87–96 (2013).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Journal of Biomedical Informatics46(1), 87–96 (2013)

Reference 31

Resolution: verified exact; doi, observed 2026-08-07T14:05:43.530227Z

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Observation 45dde977-7e39-44ce-af5e-b76eed40ac0d · outbound

This paper cites In: Proceedings of the 34th International Conference on Neural Information Processing Systems, NIPS ’20.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare In: Proceedings of the 34th International Conference on Neural Information Processing Systems, NIPS ’20

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:51.863816Z

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Observation 78dfb205-4df2-4ae7-8c1d-4bf28d8f806e · outbound

This paper cites IEEE Signal Processing Magazine37(3), 50–60 (2020).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare IEEE Signal Processing Magazine37(3), 50–60 (2020)

Reference 33

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Observation 6113f19a-5844-48f7-8a64-e809bfbca94d · outbound

This paper cites Enhancing Health Data Interoperability with Large Language Models: A FHIR Study.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Enhancing Health Data Interoperability with Large Language Models: A FHIR Study

Reference 34

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This paper cites Master’s thesis, University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (2021).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Master’s thesis, University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands (2021)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:51.506580Z

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Observation e81772a6-53e5-4766-b843-65ffc83b0a29 · outbound

This paper cites Journal of Systems and Software 220, 112278 (2024).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Journal of Systems and Software 220, 112278 (2024)

Reference 36

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T14:05:46.476801Z

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Observation e71c0328-edef-4440-858f-ed354c513e81 · outbound

This paper cites Journal of Systems and Software192, 111357 (2022).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Journal of Systems and Software192, 111357 (2022)

Reference 37

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Observation 836e49a9-7bb5-4e2a-9828-852434f30c34 · outbound

This paper cites Differentially Private Decoding in Large Language Models.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Differentially Private Decoding in Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:05:37.846526Z

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Observation 343142be-257c-4c18-8541-39a0d8c5095c · outbound

This paper cites Cambridge University Press (2008).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Cambridge University Press (2008)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:51.185658Z

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Observation a04b1ccc-2de1-44b0-af6a-15b27fee9e10 · outbound

This paper cites EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models

Reference 40

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:05:46.047268Z

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Observation 605fd1b2-1676-4e63-9709-36d74f4284e4 · outbound

This paper cites Yearbook of Medical Informatics 17(01), 128–144 (2008).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Yearbook of Medical Informatics 17(01), 128–144 (2008)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:50.849633Z

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Observation 9a1fdad8-b060-4d4e-a38c-8a658915949c · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Efficient Estimation of Word Representations in Vector Space

Reference 42

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Observation 7d6e70e7-12ef-45e7-8686-b25b162c0150 · outbound

This paper cites Journal of the American Medical Informatics Association26(6), 491–495 (2019).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Journal of the American Medical Informatics Association26(6), 491–495 (2019)

Reference 43

Resolution: verified exact; doi, observed 2026-08-07T14:05:43.322323Z

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Observation d4ead454-d3af-4a71-9e15-30c00e82e094 · outbound

This paper cites AMIA Annual Symposium Proceedings2020, 870–877 (2021).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare AMIA Annual Symposium Proceedings2020, 870–877 (2021)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:50.544881Z

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Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Database2022, baac041 (2022)

Reference 45

Resolution: verified exact; doi, observed 2026-08-07T14:05:43.081233Z

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 46319449-a490-4d8c-b70a-8948f6d392d3 · outbound

This paper cites Information Fusion82, 99–122 (2022).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Information Fusion82, 99–122 (2022)

Reference 46

Resolution: verified exact; doi, observed 2026-08-07T14:05:42.826945Z

Source-reported events for the cited work

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Observation 8087cc63-6d57-4cd7-b31b-a17145fd9237 · outbound

This paper cites Information Fusion108, 102412 (2024).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Information Fusion108, 102412 (2024)

Reference 47

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T14:05:45.792851Z

Source-reported events for the cited work

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Observation 2552c2a0-e5a9-482e-9d5f-47dee9fe49d5 · outbound

This paper cites Journal of the American Medical Informatics Association18(4), 441–448 (2011).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Journal of the American Medical Informatics Association18(4), 441–448 (2011)

Reference 48

Resolution: verified exact; doi, observed 2026-08-07T14:05:42.652266Z

Source-reported events for the cited work

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Observation a5d8787b-1981-4cb0-aa2d-84d488bd67eb · outbound

This paper cites https://opencontainers.org/ (2015).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare https://opencontainers.org/ (2015)

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:50.250614Z

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 3ce90f25-7c0a-46b9-9184-feb925c7f032 · outbound

This paper cites Kairouz H.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Kairouz H

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:49.887615Z

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 ded3eb84-b298-4c6a-a90b-44466cffef3d · outbound

This paper cites https://github.com/Y AMWD/PyTorch interface for Brane (2024).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare https://github.com/Y AMWD/PyTorch interface for Brane (2024)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:49.504344Z

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 af18cb5b-014b-4b41-9975-e55173188618 · outbound

This paper cites Pharmacotherapy: The Journal of Human Pharmacol- ogy and Drug Therapy43(1), e14–e25 (2023).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Pharmacotherapy: The Journal of Human Pharmacol- ogy and Drug Therapy43(1), e14–e25 (2023)

Reference 52

Resolution: verified exact; doi, observed 2026-08-07T14:05:42.498984Z

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 9b5a7857-aaa0-4aac-a5a4-270eed6c046b · outbound

This paper cites npj Digital Medicine3(1), 119 (2020).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare npj Digital Medicine3(1), 119 (2020)

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T14:05:39.684196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10fc1857-0674-4382-8311-feee77142026 · outbound

This paper cites American journal of epidemiology182(12), 1033–1038 (2015).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare American journal of epidemiology182(12), 1033–1038 (2015)

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:49.236375Z

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 429ffb09-b3c8-4c89-8136-cd553954cfbd · outbound

This paper cites Interactive Data Harmonization with LLM Agents: Opportunities and Challenges.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Interactive Data Harmonization with LLM Agents: Opportunities and Challenges

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T14:05:39.856235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de2ca502-7fd1-4c5f-8e21-3d6d79437ec1 · outbound

This paper cites BMC Medical Informatics and Decision Making20(1), 222 (2020).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare BMC Medical Informatics and Decision Making20(1), 222 (2020)

Reference 56

Resolution: verified exact; doi, observed 2026-08-07T14:05:42.264190Z

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 2de2b95b-cb37-46be-a6c2-e8646f7f85b8 · outbound

This paper cites Speaking the Same Language: Leveraging LLMs in Standardizing Clinical Data for AI.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Speaking the Same Language: Leveraging LLMs in Standardizing Clinical Data for AI

Reference 57

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:05:45.426064Z

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 98be208b-21bf-47eb-a664-a9f00c13c6c9 · outbound

This paper cites IEEE Data Engineering Bulletin (2018).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare IEEE Data Engineering Bulletin (2018)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:49.038487Z

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 eb6bcd7f-2220-4da3-b8ed-a60f5af8ef8d · outbound

This paper cites JCO Clinical Cancer Informatics2, 1–10 (2018).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare JCO Clinical Cancer Informatics2, 1–10 (2018)

Reference 59

Resolution: verified exact; doi, observed 2026-08-07T14:05:42.088270Z

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 030388a4-caa7-44e6-ae42-ca3e818b5167 · outbound

This paper cites Official Journal of the European Union (2016).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Official Journal of the European Union (2016)

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:48.875693Z

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 180a20ae-b8df-4763-adfa-66bb34fb5557 · outbound

This paper cites In: 2021 IEEE 17th International Conference on eScience (eScience), pp.

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare In: 2021 IEEE 17th International Conference on eScience (eScience), pp

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T14:05:40.431490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77b8a874-5e65-441e-aa89-98f37850f7df · outbound

This paper cites J Med Internet Res26, e22769 (2024).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare J Med Internet Res26, e22769 (2024)

Reference 62

Resolution: malformed identifier; no resolver link, observed 2026-08-07T14:05:40.565967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db02fee5-2f01-4bcf-af39-b09675562d8f · outbound

This paper cites Studies in Health Technology and Informatics192, 682–686 (2013).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Studies in Health Technology and Informatics192, 682–686 (2013)

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:48.708847Z

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 a28bf854-0cd0-40ee-ae5a-8e2a776c7b5e · outbound

This paper cites Journal of Biomedical Informatics77, 34–49 (2018).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Journal of Biomedical Informatics77, 34–49 (2018)

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:48.464986Z

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 7ae3865e-5063-4b70-9d86-a3a7cfbd1709 · outbound

This paper cites Nature594(7862), 265—270 (2021).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Nature594(7862), 265—270 (2021)

Reference 65

Resolution: verified exact; doi, observed 2026-08-07T14:05:41.863999Z

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 f6eb1e2a-bce4-48ad-874f-0e1d5144c2ab · outbound

This paper cites World Health Organization (2004).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare World Health Organization (2004)

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:48.264781Z

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 a2b49d65-602d-45b9-acf1-965c78208bf4 · outbound

This paper cites WHO Technical Report Series1030 (2021).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare WHO Technical Report Series1030 (2021)

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:48.083434Z

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 ed5f8077-b2f7-40a1-b8b3-85cf21ebdc2e · outbound

This paper cites Journal of Medical Internet Research26, e56614 (2024).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Journal of Medical Internet Research26, e56614 (2024)

Reference 68

Resolution: malformed identifier; doi_truncated, observed 2026-08-07T14:05:41.712441Z

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 7c5bccf5-0a7d-4cc8-a8d8-c4144fb52bcd · outbound

This paper cites Nature Communications16(1), 2852 (2025).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Nature Communications16(1), 2852 (2025)

Reference 69

Resolution: verified exact; doi, observed 2026-08-07T14:05:41.536745Z

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 5a345edb-775f-4fbd-a829-3427c26135cc · outbound

This paper cites Journal of Biomedical Informatics46(6), 1088–1098 (2013).

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare Journal of Biomedical Informatics46(6), 1088–1098 (2013)

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:05:47.872382Z

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 a2e11f8d-6ad4-4555-b609-52e5e73e3f29 · inbound

Compliance Management for Federated Data Processing cites this paper.

Compliance Management for Federated Data Processing Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:06:33.591990Z

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.