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Paper Citation Record · LEDGER

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models

As of 19 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2506.01257.

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

pith.paper-citation-record.v1
2506.01257 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:50:15.590052Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:18:04.899569Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

  • verified exact1
  • verified fuzzy21
  • unresolved34
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 578b5bf0-2a01-4fd1-a372-7cd659219267 · outbound

This paper cites an unresolved cited work.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:11.191638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:11.191638Z digest=sha256:efa1678c39e0f8b013c18fca420a5a1c7d0ad102be4a94e5ff6cf93b63cb5f31

Observation 87185542-cec9-47ef-ae17-2edd5c0ffbe9 · outbound

This paper cites medRxiv, 2024: p.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models medRxiv, 2024: p

Reference 2

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T11:50:21.294321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:11.261169Z digest=sha256:f4cc481569a5b499ae918ea0145e809c3afbfb907cb1cc1fda20e01dfa227596

Observation db2d152c-3091-4925-9916-5e4194c7f0a0 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:11.331321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:11.331321Z digest=sha256:310d13cbe9d30a42f8caede94c5606d0b89aa974134097529165ea3edbff9a35

Observation 1ebfaf60-2b3f-467c-9022-581008e3c3dc · outbound

This paper cites Spillard, and D.P.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Spillard, and D.P

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:21.235860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:11.391651Z digest=sha256:a2b8c5d567b50b3cd2ac650a733dd8b9acaa4681d5812916f14dd3e09e9ecb06

Observation 321b823a-8c8c-4660-90c3-b66e3f482aff · outbound

This paper cites an unresolved cited work.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:50:21.154406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:11.425516Z digest=sha256:1cbcbaa0a71efbe0b1ef2d84e80c2ece44d46b282e15e949daa7f885293c8311

Observation d098e8f4-2371-4e87-baa0-becbf2353255 · outbound

This paper cites an unresolved cited work.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:50:21.046762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:11.465631Z digest=sha256:ed9c69b2816309af43834cfd4dd0d450baf0d1ec9079510f3b1716ba71d26194

Observation 754a49a5-ed1a-4aff-b1b9-fb41ff64890b · outbound

This paper cites an unresolved cited work.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:50:20.960832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:11.504621Z digest=sha256:dc07cd3db5808e32f6d2d134857c1e37adc1aa13d70f776a8e26eb817d6c549a

Observation 0b1a721c-f228-4ede-8ad5-9aee1dfd4309 · outbound

This paper cites 2025, Elsevier BV.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models 2025, Elsevier BV

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:20.884277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:11.557639Z digest=sha256:4b105f562877cf2ca175b14a1eec8429c54e2b7db5f9833599123bfb260a4f80

Observation a564daef-c70d-4210-bcde-4694d078198d · outbound

This paper cites JMIR Perioperative Medicine, 2023.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models JMIR Perioperative Medicine, 2023

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:20.807150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:11.578079Z digest=sha256:23e46d1f02b52d5bf79ef197385573b2569d14ef9ba6e32bba155714139ec7c9

Observation b32e409f-f3a1-4cff-ae6f-5062bf2f15da · outbound

This paper cites Journal of Biomedical Informatics, 2025.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Journal of Biomedical Informatics, 2025

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:20.728807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:11.620744Z digest=sha256:2fd4a0e7bd66647df0eaee6cda6f699a8f96c072c316b9b89cfe332a8fd2d813

Observation 6eb9f74d-0ade-40d8-9089-9f4ae3597c9e · outbound

This paper cites Gardiner, and S.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Gardiner, and S

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:20.638388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:11.698934Z digest=sha256:ad429eb9f92350e2ad818d1df23b93dd2582fffa0c80bfa3afc857fe774dca1a

Observation ca10a032-ed4a-4a62-bbaf-631353d563bd · outbound

This paper cites an unresolved cited work.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:50:20.548892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:11.742725Z digest=sha256:4aabf7c96d2cce65c68d607a03c0e34683b9f5fbd08e4da49eb61b6ca21fda69

Observation c49409f8-88dc-4520-b1ec-7a14a8145cd5 · outbound

This paper cites Large Language Models and Mathematical Reasoning Failures.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Large Language Models and Mathematical Reasoning Failures

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:11.834814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:11.834814Z digest=sha256:4dc5c7c062fc8418b53ccec1347457cad47bc6f7bb10d6991f8af42d7b3f60db

Observation 2a960d3d-0888-47d2-9402-71fe77d091f5 · outbound

This paper cites Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:11.889893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:11.889893Z digest=sha256:3037cd918ffc8faf7df1fb9b9b0b679f2b924e4a6be7ed940669187155b5bafe

Observation 88810424-c0a2-468a-8780-0c728548c8e3 · outbound

This paper cites AMIA Summits on Translational Science Proceedings, 2024.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models AMIA Summits on Translational Science Proceedings, 2024

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:20.480584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:11.945142Z digest=sha256:a2b435e01d09a100dced2afb6bd475257e81825ee04773ad75b7d2b112fc72cf

Observation bc86617a-ba5f-4b61-aa81-c39529322944 · outbound

This paper cites medRxiv, 2024: p.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models medRxiv, 2024: p

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:20.397603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:12.003582Z digest=sha256:cab6b9f527a9cec5cb37e314a28d0543f3a51090982cbaa683a4e7d6d66c887f

Observation 52250247-5f0b-4d32-b5b7-1fdcb002df88 · outbound

This paper cites medRxiv, 2025: p.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models medRxiv, 2025: p

Reference 17

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T11:50:20.303694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:12.160219Z digest=sha256:00b92af3590c55efb4b45b18652236d948c39e0cf8164a36057e3b11ffda0470

Observation ba3218b4-fe7f-4a71-9a4b-c7187018d1de · outbound

This paper cites Evaluating o1-Like LLMs: Unlocking Reasoning for Translation through Comprehensive Analysis.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Evaluating o1-Like LLMs: Unlocking Reasoning for Translation through Comprehensive Analysis

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:12.235015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:12.235015Z digest=sha256:8c189faf45267fc08c8254a5947ce1cbfd180ecf4a372bdb90604d797a15338a

Observation f6bb3755-7db8-4b9f-99ed-a995760c7131 · outbound

This paper cites an unresolved cited work.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:50:20.223270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:12.317396Z digest=sha256:c6c7e04f4dd4152233b836174e3210496d53caabf0cde207e47beb69f59600db

Observation 38c0dfef-a61f-4d89-9103-1c632de164db · outbound

This paper cites Challenges in Ensuring AI Safety in DeepSeek-R1 Models: The Shortcomings of Reinforcement Learning Strategies.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Challenges in Ensuring AI Safety in DeepSeek-R1 Models: The Shortcomings of Reinforcement Learning Strategies

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:12.427431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:12.427431Z digest=sha256:c94472f049ba637ef66d82cff86d79acd23ebf617ed3147d4241b309fa1391a7

Observation 1d3b7662-b44b-48c2-b5a0-344beb95be9a · outbound

This paper cites International Journal of Scientific 40 Research in Computer Science, Engineering and Information Technology (IJSRCSEIT),.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models International Journal of Scientific 40 Research in Computer Science, Engineering and Information Technology (IJSRCSEIT),

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:20.139035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:12.492306Z digest=sha256:f53a562219d2b034eb374e3b20cd69ba8a7e0ac2244d5277755751dba623f15c

Observation 9b3402bd-a83b-48c4-9841-5be92789e59a · outbound

This paper cites DeepSeek-R1.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models DeepSeek-R1

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:20.044461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:12.549056Z digest=sha256:fc02711e86687998aa84ad9e016c69518495ba579158f0bdf9ee2699be886a1c

Observation 16547097-ef44-42a8-9faf-770031f7f082 · outbound

This paper cites an unresolved cited work.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:50:19.923126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:12.595842Z digest=sha256:cb0c3ee9a59bc0dc7d16abb2e397f23d15d388188bb5a109dd31a030e129b600

Observation 5851fe81-99b1-4ede-8416-5cae63b5bf82 · outbound

This paper cites MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:12.658854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:12.658854Z digest=sha256:4081ccde740bfa53a7b70ea333f2db023dd9e178cfc3be1f8464f73ff4d7b4ba

Observation fa84e437-d69c-442e-adfb-85b32a81625e · outbound

This paper cites an unresolved cited work.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:50:19.777337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:12.772990Z digest=sha256:7de01adb77ed6d639a5d029193f5927879dba82f0f39b2eb06a487c940654fe5

Observation 5d34cd34-d607-4f0f-9175-5fff3eb537c4 · outbound

This paper cites arXiv preprint arXiv:2503.04153, 2025.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models arXiv preprint arXiv:2503.04153, 2025

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:12.810532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:12.810532Z digest=sha256:2d3c1f62eca3744956c9f83e13c8cd6452d9b9b62cc3fd03d1ad2db61e1da90e

Observation b55db60c-5a35-44a1-9dd4-e8dd3bc179b2 · outbound

This paper cites an unresolved cited work.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:50:19.674792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:12.851393Z digest=sha256:5cf518b4e2ecb43fa3f6935c5a5bb38c10a8019b8a3b01398acab048157d3670

Observation bc44822e-1c42-41a3-b9d1-25520ef299f4 · outbound

This paper cites LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:12.921831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:12.921831Z digest=sha256:f98abfb0e6682b49201ed25d8f70b8039acc4fb83d7c69f962cecc07c39569c8

Observation 3a71a785-6abe-40ce-b65b-00abe1ac65af · outbound

This paper cites Cureus, 2025.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Cureus, 2025

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:19.629658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:12.966903Z digest=sha256:268c805053d88a970203937396c730d955f5cbae70ed0459e3c93942cd73b4a4

Observation 325fc75c-70c1-4b8b-9999-caead5886a25 · outbound

This paper cites User Intent to Use DeepSeek for Healthcare Purposes and their Trust in the Large Language Model: Multinational Survey Study.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models User Intent to Use DeepSeek for Healthcare Purposes and their Trust in the Large Language Model: Multinational Survey Study

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:50:16.315247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:13.034523Z digest=sha256:eb2566da57dbb1c173861121148ceff6af89292d88f2ec14bda98aafcb942ec5

Observation cd0aa833-d384-48dd-8e69-65f2fc6e9afa · outbound

This paper cites He, and M.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models He, and M

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:13.083340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:13.083340Z digest=sha256:ddb42e24b0bcd78a832701667010af7a1145f9f87fb2c8de342f550173476389

Observation 0f9e1b0d-112a-47a3-9fd4-09e7b476e199 · outbound

This paper cites JAMIA Open, 2023.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models JAMIA Open, 2023

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:13.164814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:13.164814Z digest=sha256:4630a1a68d6974f52855873534394ce4cb4d05748f64ee7050ddbf516a6a6df0

Observation 002c8b97-5264-4ddd-b4e1-775e28ba3e7a · outbound

This paper cites an unresolved cited work.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:50:19.461102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:13.225483Z digest=sha256:b8fb47dcb5b692d2760bd6effb9bf232d9a6ed598052c51685e412d8a2840de5

Observation 5fadf935-6029-4882-bf9d-fe8ff765421b · outbound

This paper cites Scientific Reports, 2024.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Scientific Reports, 2024

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:19.287247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:13.271887Z digest=sha256:a0d4a902de633fc9e329f4c7be521c301c7602eeb7e876298c47dadecd6aa12e

Observation 61491f6f-4539-4b20-959f-5c9af931f04f · outbound

This paper cites arXiv preprint arXiv:2502.12659, 2025.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models arXiv preprint arXiv:2502.12659, 2025

Reference 35

Resolution
unresolved
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source=pdf_text observed=2026-08-07T11:50:13.330295Z digest=sha256:847908d30d9980f446684a966c2502c735d4ef48117b5c7a27e570fe869a270a

Observation fc5a83ae-1ef1-4110-bba7-a98f2e46372d · outbound

This paper cites an unresolved cited work.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Unresolved cited work

Reference 36

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:13.384285Z digest=sha256:09645866657b93806268a2d420479bd8080d5830194a531e089e1fe68400f97b

Observation 66ded790-f084-40c3-864e-1326877e1574 · outbound

This paper cites o3-mini vs DeepSeek-R1: Which One is Safer?.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models o3-mini vs DeepSeek-R1: Which One is Safer?

Reference 37

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source=pdf_text observed=2026-08-07T11:50:13.457110Z digest=sha256:e69c82b3cf0a29c8394747a6aff522968d65a1ff0cbc0f1c7a0f4709d6ab9f6d

Observation beba79c0-e2ec-4d73-af1f-9ad940db16f5 · outbound

This paper cites arXiv preprint arXiv:2503.13806, 2025.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models arXiv preprint arXiv:2503.13806, 2025

Reference 38

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source=pdf_text observed=2026-08-07T11:50:13.544867Z digest=sha256:8420595297c032399c28b8208974b0f6d1c43e660fc53ce801eed7fd2219862f

Observation db4c164f-bd66-4a32-b910-430b5706d1e2 · outbound

This paper cites Nature medicine, 2025: p.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Nature medicine, 2025: p

Reference 39

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raw_fallback, observed 2026-08-07T11:50:18.928365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:13.614273Z digest=sha256:49bf5d1b533ef03cec912cb30647abbf0fdbb7ad450ca933f068ccf46d1d0fbb

Observation ad099084-a5a0-4a9d-a3c7-8349c7234657 · outbound

This paper cites 2025, Elsevier.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models 2025, Elsevier

Reference 40

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raw_fallback, observed 2026-08-07T11:50:18.673769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:13.713727Z digest=sha256:3b8b3ebfc4245677b54b7f3dc058edc43f5ff8b30559ba62b25f52d8927fe7a6

Observation ebccae88-45e1-4564-8116-d62822dd2ab4 · outbound

This paper cites Nature Medicine, 2025: p.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Nature Medicine, 2025: p

Reference 41

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raw_fallback, observed 2026-08-07T11:50:18.316070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:13.863873Z digest=sha256:42cfe3fdf4c9e5824aeab52b9a78cbfde331d56073b0ed298385823d0f019526

Observation 4ba1cbd7-b452-4f14-a875-4b998725ede8 · outbound

This paper cites The Lancet Digital Health, 2024.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models The Lancet Digital Health, 2024

Reference 42

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raw_fallback, observed 2026-08-07T11:50:17.982110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:13.959495Z digest=sha256:1ffede57ae1486d569bfb624ad7d92ffdca8c684cd30ab8c9efa2511fc469940

Observation aaa19d40-93cf-4db4-82c5-62a2c6a8f26f · outbound

This paper cites Ethical and social risks of harm from Language Models.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Ethical and social risks of harm from Language Models

Reference 43

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:50:14.062666Z digest=sha256:c6d4102a1d5de3ea494f6fc331d86a404276a2fe05f58f2cb5823d6598643eea

Observation f5d93b78-c092-4d2a-b741-68e16987443e · outbound

This paper cites AMIA Summits on Translational Science Proceedings, 2024.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models AMIA Summits on Translational Science Proceedings, 2024

Reference 44

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raw_fallback, observed 2026-08-07T11:50:17.709063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:14.132181Z digest=sha256:4eb2bf7518a98efd4534fa42bad94d43525db7bea06c3b4b06980c5c52ad2adc

Observation 4c7a4b09-2902-44fb-b356-5a22710f84c3 · outbound

This paper cites Analytical Methods, 2017.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Analytical Methods, 2017

Reference 45

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raw_fallback, observed 2026-08-07T11:50:17.521975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:14.229261Z digest=sha256:97b8057bfd5711f0c30fffd7ba8adab671302cd0aae457f33c84f164c8408076

Observation c0213580-0cf2-46f9-b1bd-7b0fa3c3c9a7 · outbound

This paper cites Design and development of an informatics-driven implementation research framework for primary care studies.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Design and development of an informatics-driven implementation research framework for primary care studies

Reference 46

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raw_fallback, observed 2026-08-07T11:50:17.312259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:14.308865Z digest=sha256:7de9dfe8e85513d50cc39dcb22023270785387953432022f7dfae2c495510dbf

Observation 13cc92a9-d906-4070-82d4-8aae442ac6cd · outbound

This paper cites medRxiv, 2025: p.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models medRxiv, 2025: p

Reference 47

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source=pdf_text observed=2026-08-07T11:50:14.418763Z digest=sha256:ac6193ca7aabb67ec58add181d8aa32fa85a30f2935dbddc950b13d372e2b097

Observation e341f9a4-39aa-4331-a13f-54a4036aed34 · outbound

This paper cites Minssen, and G.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Minssen, and G

Reference 48

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source=pdf_text observed=2026-08-07T11:50:14.497661Z digest=sha256:a393f42b5875c96165027c81029e47d163a07f77bdd48b9921419cb8579c5308

Observation 70ffe400-62d3-495c-afc0-45c717ce540a · outbound

This paper cites an unresolved cited work.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Unresolved cited work

Reference 49

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raw_fallback, observed 2026-08-07T11:50:17.148564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:14.576162Z digest=sha256:75612995ea1ced5ea19361fd9300031ef06fbd836f391031e7b0bbca41a61de4

Observation f7810828-6d68-49ee-9ad0-f11f05ebab57 · outbound

This paper cites Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma

Reference 50

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source=pdf_text observed=2026-08-07T11:50:14.661746Z digest=sha256:c07346c18428d709ae4eff28c7bb25ff88160e4d3b68b6fc3066b81efb87a72a

Observation dab479d3-25ab-4ab4-83ac-84b739a4ce8d · outbound

This paper cites Olin Business School Center for Finance & Accounting Research Paper, 2023(2023/18).

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Olin Business School Center for Finance & Accounting Research Paper, 2023(2023/18)

Reference 51

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raw_fallback, observed 2026-08-07T11:50:17.011631Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:14.761105Z digest=sha256:7c641639ba9e19c1ef9bdc920b62d092da5d667f6fedd461a1ce801673f832fc

Observation 42c6aabd-33ff-4dbf-80a7-a6de3fb65ea9 · outbound

This paper cites Evaluating the Performance of the DeepSeek Model in Confidential Computing Environment.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Evaluating the Performance of the DeepSeek Model in Confidential Computing Environment

Reference 52

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:50:14.839036Z digest=sha256:99fd4ec6d364ed74517025f9b1de4feeebc8c5e1c99e6bdaf2e8666ff7216222

Observation 85e98054-96dd-4439-a289-69b839e0dbc9 · outbound

This paper cites an unresolved cited work.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Unresolved cited work

Reference 53

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unresolved
raw_fallback, observed 2026-08-07T11:50:16.855648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:14.931002Z digest=sha256:be8a64b2f8b1a142326cc9e40596eecef96e44b827d1763002e17571406555af

Observation 82e18954-6e02-45ed-bc48-9b4e02c790d1 · outbound

This paper cites LLMs in Disease Diagnosis: A Comparative Study of DeepSeek-R1 and O3 Mini Across Chronic Health Conditions.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models LLMs in Disease Diagnosis: A Comparative Study of DeepSeek-R1 and O3 Mini Across Chronic Health Conditions

Reference 54

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:15.033078Z digest=sha256:fec26bf76bf78c040e6300a7268a17dd975441e6b5dcc81f17f41b4cbb491930

Observation c4ca0007-b046-426f-a346-ed98e452d310 · outbound

This paper cites Authorea Preprints, 2025.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Authorea Preprints, 2025

Reference 55

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verified fuzzy
raw_fallback, observed 2026-08-07T11:50:16.713793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:15.120296Z digest=sha256:cda060acd62156a67114eb57465c2c3e52b5edafb8e63bf4251c2d7f41dcaf04

Observation 114f72a0-b126-4281-a3c3-b9df4689f78a · outbound

This paper cites Available at SSRN 5169443.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Available at SSRN 5169443

Reference 56

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verified fuzzy
raw_fallback, observed 2026-08-07T11:50:16.596051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:15.243216Z digest=sha256:53d445c12fdcd1f6514fb6609d3458491267de376db7f6465a44bae7556e7469

Observation 1fd7a147-2641-4b73-a546-df2780b99cf6 · outbound

This paper cites DeepSeek Powered Solid Dosage Formulation Design and Development.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models DeepSeek Powered Solid Dosage Formulation Design and Development

Reference 57

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metadata mismatch
local_arxiv, observed 2026-08-07T11:50:15.977168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:15.332295Z digest=sha256:192f5e46a0a231e2d73180997db9f072892f4d01212551012688b9d2a8ce4b97

Observation 6a0942ad-9a9b-499b-84cf-9c9fc39cd225 · outbound

This paper cites Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 58

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no resolver link, observed 2026-08-07T11:50:15.401898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:15.401898Z digest=sha256:14989e9a41cd583b9d5f303eef26127f5f7f6378c03804cde8dcaa50932b4444

Observation eff1b571-82ae-4559-b4bf-08c54c3b06de · outbound

This paper cites DeepSeek-R1 Outperforms Gemini 2.0 Pro, OpenAI o1, and o3-mini in Bilingual Complex Ophthalmology Reasoning.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models DeepSeek-R1 Outperforms Gemini 2.0 Pro, OpenAI o1, and o3-mini in Bilingual Complex Ophthalmology Reasoning

Reference 59

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metadata mismatch
local_arxiv, observed 2026-08-07T11:50:15.813842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T11:50:15.494183Z digest=sha256:ecb19b3e125dc169f361a15bab80deb77a8c942ab59b2c291409fcbcd6e30949

Observation 4ab83174-adcf-45a3-b020-2f8401990541 · outbound

This paper cites An evaluation of DeepSeek Models in Biomedical Natural Language Processing.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models An evaluation of DeepSeek Models in Biomedical Natural Language Processing

Reference 60

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no resolver link, observed 2026-08-07T11:50:15.590052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:15.590052Z digest=sha256:56bdd9a64a06b7488b6e39ddb0636e3b7df09cae3951c1b3a2a9ce3a27cd50bc

Pith citing papers

Observation b404f152-2ba3-4416-a48e-017826842472 · inbound

Verifiable Manifest Signing and Transparency Enforcement for Secure MCP-Based LLM Pipelines cites this paper.

Verifiable Manifest Signing and Transparency Enforcement for Secure MCP-Based LLM Pipelines DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models

Reference 21

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no resolver link, observed 2026-08-03T06:18:04.899569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:18:04.899569Z digest=sha256:4bc6fc5071b4c90eb3bdb6c6627a3de08d1b35cd0d2b8cc498393cff00af739a