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Paper Citation Record · LEDGER

Holistic Artificial Intelligence in Medicine; improved performance and explainability

As of 8 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 2026-08-07T06:34:17.273281+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

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Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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  • verified fuzzy16
  • unresolved25
  • parse uncertain0
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External citation measurements

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:17.170995Z digest=sha256:0b6880eacebf27d2bbde0043bc528877a85d458f22537cc76f7df5a3b5a31f9f

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:26:17.230420Z digest=sha256:c5fbaa41e87ffd56f323ab202e94e2d835373a2e6df4f245ef2672db3c50cb6e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:17.292076Z digest=sha256:cffa5b6e307f7063b2c75b9d4af9f72663ce2892ecea08d1f4453ddbed70e436

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:26:17.375217Z digest=sha256:8e84dde80126ca4b9807d6a8b39109ea999b27e317df0d82c94c396143db29f8

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:17.436042Z digest=sha256:d2f79be3c935434eaeb53b198b74c79cb7ac01bf82fd192b443526c189fac276

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:17.534983Z digest=sha256:1340727787befea6a0a436c0444755555118d98d8a6127f28ee476655ac2bb67

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:26:17.592066Z digest=sha256:777a0b57060c409e3f49c4e1a7530eef4c3e3a1262167bb1f92bcccacf61b7f8

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:17.655304Z digest=sha256:10900a2ed58e028fa9e862b3527ad404334c9bafb471bfdfa11d146a363a258f

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:17.727129Z digest=sha256:a92a02da359dd5ecf31457d626c4cee7122027be369e6255ae87af5fce9d9fd0

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:26:17.790321Z digest=sha256:b9b9b688122a075613d50eb7211434a8e95555e6a4b93c87f03e6dbcabab5c76

Pith citing papers

No inbound Pith citation observations are available.