Paper Citation Record · LEDGER

Holistic Artificial Intelligence in Medicine; improved performance and explainability

As of 18 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2507.00205.

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

pith.paper-citation-record.v1
2507.00205 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:26:17.790321Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

45 of 45 outbound references displayed

verified exact3
verified fuzzy16
unresolved25
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0297032-49ed-4473-bd31-57ba6bca781d · outbound

This paper cites BMC Medical Informatics and Decision Making 20(1), 310 (2020) https://doi.org/10.1186/s12911-020-01332-6.

Holistic Artificial Intelligence in Medicine; improved performance and explainability BMC Medical Informatics and Decision Making 20(1), 310 (2020) https://doi.org/10.1186/s12911-020-01332-6

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:14.433286Z

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Observation 5792c046-b9a0-4fab-a48b-654c9484dc39 · outbound

This paper cites Information Fusion 79, 263–278 (2022) https://doi.

Holistic Artificial Intelligence in Medicine; improved performance and explainability Information Fusion 79, 263–278 (2022) https://doi

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:14.501776Z

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Observation c936f942-e2df-4854-b798-6edaf975eddd · outbound

This paper cites ACM computing surveys (CSUR) 54(6), 1–35 (2021).

Holistic Artificial Intelligence in Medicine; improved performance and explainability ACM computing surveys (CSUR) 54(6), 1–35 (2021)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:26:21.154450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 25aef38c-ba8a-4147-8d86-4eff7bf0ca18 · outbound

This paper cites Nature 620(7972), 172–180 (2023) https://doi.org/10.1038/ s41586-023-06291-2.

Holistic Artificial Intelligence in Medicine; improved performance and explainability Nature 620(7972), 172–180 (2023) https://doi.org/10.1038/ s41586-023-06291-2

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T21:26:21.135268Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 784d9321-c421-4a06-935a-814179556b85 · outbound

This paper cites Nature Medicine 31(3), 943–950 (2025) https://doi.org/10.1038/s41591-024-03423-7.

Holistic Artificial Intelligence in Medicine; improved performance and explainability Nature Medicine 31(3), 943–950 (2025) https://doi.org/10.1038/s41591-024-03423-7

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:14.687714Z

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Observation 8ee966c7-8c3a-4e48-b954-bb08eb30d446 · outbound

This paper cites Capabilities of Gemini Models in Medicine.

Holistic Artificial Intelligence in Medicine; improved performance and explainability Capabilities of Gemini Models in Medicine

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:14.796325Z

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Observation ac6d7919-dcc6-40c2-93fc-748382839a67 · outbound

This paper cites Nature Medicine 29(8), 1930– 1940 (2023) https://doi.org/10.1038/s41591-023-02448-8.

Holistic Artificial Intelligence in Medicine; improved performance and explainability Nature Medicine 29(8), 1930– 1940 (2023) https://doi.org/10.1038/s41591-023-02448-8

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:14.893575Z

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Observation 09ce2a72-d456-4299-8ba8-878d91fe7280 · outbound

This paper cites A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges.

Holistic Artificial Intelligence in Medicine; improved performance and explainability A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:26:18.991098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9555b7c8-5234-4979-98bd-fcfc3f355961 · outbound

This paper cites ArXiv (2023).

Holistic Artificial Intelligence in Medicine; improved performance and explainability ArXiv (2023)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:26:21.100068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f8c2fe1a-f8d0-4af6-88f3-f6791813f6be · outbound

This paper cites Advances in neural information processing systems 33, 1877–1901 (2020).

Holistic Artificial Intelligence in Medicine; improved performance and explainability Advances in neural information processing systems 33, 1877–1901 (2020)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:15.134060Z

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Observation 19c43bac-bb86-4924-b7c5-febb5c53feaa · outbound

This paper cites Journal of the American Medical Informatics Association, 065 (2025).

Holistic Artificial Intelligence in Medicine; improved performance and explainability Journal of the American Medical Informatics Association, 065 (2025)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:26:21.063867Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3476e5e4-9696-473c-ab6c-c7e8af36b429 · outbound

This paper cites Research Report, American Medical Association (2024).

Holistic Artificial Intelligence in Medicine; improved performance and explainability Research Report, American Medical Association (2024)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:26:21.043441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a0c933f-9814-49fd-8f6f-78def7225ab7 · outbound

This paper cites JAMA 333(4), 319–328 (2025) https://doi.org/10.1001/jama.2024.21700.

Holistic Artificial Intelligence in Medicine; improved performance and explainability JAMA 333(4), 319–328 (2025) https://doi.org/10.1001/jama.2024.21700

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:15.448486Z

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Observation af28a39e-fecc-4332-8984-b4b11a7c5d68 · outbound

This paper cites BMC medicine 17, 1–9 (2019).

Holistic Artificial Intelligence in Medicine; improved performance and explainability BMC medicine 17, 1–9 (2019)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:26:21.024865Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2157ce0a-a486-47fa-a970-fb94958b66fa · outbound

This paper cites BMC Medical Ethics 25(1), 104 (2024).

Holistic Artificial Intelligence in Medicine; improved performance and explainability BMC Medical Ethics 25(1), 104 (2024)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:26:21.007836Z

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Observation 16a09471-7eed-411d-b017-dad52212ed29 · outbound

This paper cites Publisher: Springer.

Holistic Artificial Intelligence in Medicine; improved performance and explainability Publisher: Springer

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:26:20.895580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b27857cf-378d-4d3c-9857-06409829efeb · outbound

This paper cites PhysioNet (2022).

Holistic Artificial Intelligence in Medicine; improved performance and explainability PhysioNet (2022)

Reference 17

Resolution: verified exact; doi, observed 2026-08-06T21:26:18.162194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a8d2d45b-a230-465e-ac91-4678edcdd8ae · outbound

This paper cites Scientific data 3(1), 1–9 (2016).

Holistic Artificial Intelligence in Medicine; improved performance and explainability Scientific data 3(1), 1–9 (2016)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:26:20.729143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 01a80b1f-60e3-4a9d-ad8e-90dd5f64bfac · outbound

This paper cites Scientific data 10(1), 1 (2023).

Holistic Artificial Intelligence in Medicine; improved performance and explainability Scientific data 10(1), 1 (2023)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:26:20.467491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 160b13e1-b792-497b-904e-bbc2bc9b55e7 · outbound

This paper cites In: Artificial Intelligence and Statistics, pp.

Holistic Artificial Intelligence in Medicine; improved performance and explainability In: Artificial Intelligence and Statistics, pp

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:16.030355Z

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Observation b345ad72-29f3-42be-b8f8-e9d83fef16d9 · outbound

This paper cites Cell Reports Medicine 5(2) (2024).

Holistic Artificial Intelligence in Medicine; improved performance and explainability Cell Reports Medicine 5(2) (2024)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:26:20.330312Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 54e87845-48be-4ab9-8521-cc81c79ad343 · outbound

This paper cites NPJ digital medicine 3(1), 119 (2020).

Holistic Artificial Intelligence in Medicine; improved performance and explainability NPJ digital medicine 3(1), 119 (2020)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:26:20.060178Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1eb76a98-0d49-4807-acd8-fe5fddbfcf29 · outbound

This paper cites ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission.

Holistic Artificial Intelligence in Medicine; improved performance and explainability ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:16.260794Z

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Observation b293f020-bc06-4edc-a989-ed4597685efc · outbound

This paper cites Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs.

Holistic Artificial Intelligence in Medicine; improved performance and explainability Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:16.343128Z

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Observation 4eca585a-dcec-4904-a788-984613c09c1a · outbound

This paper cites npj Digital Medicine 5(1), 149 (2022) https://doi.org/10.1038/s41746-022-00689-4.

Holistic Artificial Intelligence in Medicine; improved performance and explainability npj Digital Medicine 5(1), 149 (2022) https://doi.org/10.1038/s41746-022-00689-4

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:16.419022Z

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Observation f87eb0a1-9132-4caf-b3f9-9058a8463bf6 · outbound

This paper cites Research square, 3 (2024).

Holistic Artificial Intelligence in Medicine; improved performance and explainability Research square, 3 (2024)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:26:19.945090Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6506b8df-7788-4fc8-a23a-ea60a8553520 · outbound

This paper cites NPJ Digital Medicine 7(1), 20 (2024).

Holistic Artificial Intelligence in Medicine; improved performance and explainability NPJ Digital Medicine 7(1), 20 (2024)

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:16.571074Z

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Observation bd6f4db5-1008-45d8-9bb2-8800794bfde0 · outbound

This paper cites ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?.

Holistic Artificial Intelligence in Medicine; improved performance and explainability ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:16.646606Z

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Observation 63359fff-0343-421e-8c1f-ce8c874d9329 · outbound

This paper cites medRxiv (2024).

Holistic Artificial Intelligence in Medicine; improved performance and explainability medRxiv (2024)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:26:19.788169Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b3e4bc84-68a8-4583-8bd8-69bd7215ad91 · outbound

This paper cites arXiv preprint arXiv:2503.05777 (2025).

Holistic Artificial Intelligence in Medicine; improved performance and explainability arXiv preprint arXiv:2503.05777 (2025)

Reference 30

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Observation 8d1daefe-be07-4102-ab28-af0a3246e0c7 · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Holistic Artificial Intelligence in Medicine; improved performance and explainability Lost in the Middle: How Language Models Use Long Contexts

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:16.824119Z

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Observation c890f018-aead-4e08-bb50-d2af3d3da2d6 · outbound

This paper cites FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.

Holistic Artificial Intelligence in Medicine; improved performance and explainability FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:16.877636Z

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Observation a30d836b-70ab-477b-bca5-2fc6a6046a26 · outbound

This paper cites In: Ku, L.-W., Martins, A., Srikumar, V.

Holistic Artificial Intelligence in Medicine; improved performance and explainability In: Ku, L.-W., Martins, A., Srikumar, V

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:16.936653Z

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Observation 8e4614c1-df51-4e19-b296-aff2064da0ea · outbound

This paper cites npj Digital Medicine 8(1), 175 (2025).

Holistic Artificial Intelligence in Medicine; improved performance and explainability npj Digital Medicine 8(1), 175 (2025)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:26:19.579716Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 31511d93-d9e9-48e3-b6e6-2c35de6252e5 · outbound

This paper cites EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models.

Holistic Artificial Intelligence in Medicine; improved performance and explainability EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:17.102668Z

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Observation 58408510-0914-4a45-81cb-5747dac639f7 · outbound

This paper cites MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records.

Holistic Artificial Intelligence in Medicine; improved performance and explainability MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:17.170995Z

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Observation 599faed5-087c-4a10-a1ba-616f1eb96c48 · outbound

This paper cites ACM transactions on intelligent systems and technology 15(3), 1–45 (2024).

Holistic Artificial Intelligence in Medicine; improved performance and explainability ACM transactions on intelligent systems and technology 15(3), 1–45 (2024)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:26:19.333054Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 53160566-a9f9-457c-b0c5-f50ff1168b56 · outbound

This paper cites A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.

Holistic Artificial Intelligence in Medicine; improved performance and explainability A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:17.292076Z

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Observation ab089d44-ac30-4eef-8b50-372077a57abc · outbound

This paper cites Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation.

Holistic Artificial Intelligence in Medicine; improved performance and explainability Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:26:18.466327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 42dd26dd-eea0-4405-85ed-7abe3157373c · outbound

This paper cites Toward expanding the scope of radiology report summarization to multiple anatomies and modalities.

Holistic Artificial Intelligence in Medicine; improved performance and explainability Toward expanding the scope of radiology report summarization to multiple anatomies and modalities

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:17.436042Z

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Observation 80abed77-9574-49e9-b65e-d296864a6b12 · outbound

This paper cites Qwen2.5-VL Technical Report.

Holistic Artificial Intelligence in Medicine; improved performance and explainability Qwen2.5-VL Technical Report

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:17.534983Z

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Observation 51cf192c-269c-4ac4-aab3-0ce56fe8aa3e · outbound

This paper cites Foundations and Trends ® in Information Retrieval 3(4), 333–389 (2009).

Holistic Artificial Intelligence in Medicine; improved performance and explainability Foundations and Trends ® in Information Retrieval 3(4), 333–389 (2009)

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:26:19.175393Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c616e070-0a14-438d-aa03-f1e65523cfc2 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Holistic Artificial Intelligence in Medicine; improved performance and explainability Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:17.655304Z

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Observation 31378629-ce9a-4a90-853c-6bf57777f889 · outbound

This paper cites The Llama 3 Herd of Models.

Holistic Artificial Intelligence in Medicine; improved performance and explainability The Llama 3 Herd of Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:17.727129Z

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Observation 76c01111-bb98-40ce-9cfc-9a2fda294750 · outbound

This paper cites Qwen3 Technical Report.

Holistic Artificial Intelligence in Medicine; improved performance and explainability Qwen3 Technical Report

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:17.790321Z

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Pith citing papers

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