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Paper Citation Record · LEDGER

Best Practices for Large Language Models in Radiology

As of 23 August 2026, this Paper Citation Record lists 100 of 120 outbound references and 1 inbound Pith citation observation for arXiv:2412.01233.

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

pith.paper-citation-record.v1
2412.01233 v1

Coverage vector

measured 100 of 120 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:35:59.631748Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:13:32.595357Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T22:13:32.939116Z

Reference resolution

100 of 120 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved94
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d583eaf3-f3c1-42b8-ab2d-abe1ef30b370 · outbound

This paper cites Langlotz.

Best Practices for Large Language Models in Radiology Langlotz

Reference 1

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source=arxiv_source observed=2026-08-12T04:35:59.169318Z digest=sha256:9d6a93e550556fcdbda3ed1aa494d2876865f09f7227c502a384f4b682f65cf1

Observation e6f6d226-85e6-4f1e-b2a3-dbacb3520df6 · outbound

This paper cites GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models.

Best Practices for Large Language Models in Radiology GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models

Reference 2

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source=arxiv_source observed=2026-08-12T04:35:59.174594Z digest=sha256:d94c026dfc16645ea790c0b81742ed77cf9f0cf4473a0660d2b949150f92f215

Observation 2b1361fe-59f7-451a-a316-5c8e2a642e19 · outbound

This paper cites Hentel, Beatriu Reig, George Shih, and Linda Moy.

Best Practices for Large Language Models in Radiology Hentel, Beatriu Reig, George Shih, and Linda Moy

Reference 3

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source=arxiv_source observed=2026-08-12T04:35:59.179958Z digest=sha256:a7ee59245b32c59062e82df204221ef237f0b6c72c915bf3528ade35946c9786

Observation 443c938d-f82f-44aa-bb62-176448ab9b6a · outbound

This paper cites The Hitchhiker 's Guide to the Galaxy.

Best Practices for Large Language Models in Radiology The Hitchhiker 's Guide to the Galaxy

Reference 4

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source=arxiv_source observed=2026-08-12T04:35:59.184781Z digest=sha256:f95dd3c8b8855f596504dd4bcb46621714b73c2fd5aa78a2494c9b81c7108981

Observation b4ac3593-9d5e-4009-b653-3ced5db28acb · outbound

This paper cites Chatbots and Large Language Models in Radiology : A Practical Primer for Clinical and Research Applications.

Best Practices for Large Language Models in Radiology Chatbots and Large Language Models in Radiology : A Practical Primer for Clinical and Research Applications

Reference 5

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source=arxiv_source observed=2026-08-12T04:35:59.189390Z digest=sha256:7302cbeaccf3322c3b9349982637c138cb1b16a3f2b0a2cc424b867291386d05

Observation b3e2b511-6726-4d6d-b5b1-4c796f6e5dbe · outbound

This paper cites A neural probabilistic language model.

Best Practices for Large Language Models in Radiology A neural probabilistic language model

Reference 6

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source=arxiv_source observed=2026-08-12T04:35:59.193850Z digest=sha256:2cd18057d2c016182db72c916276b8813392b09e92f354c653fc610e96ba0102

Observation f3ce6b2a-a59a-4bcc-a543-f2f316b7e727 · outbound

This paper cites A review of recurrent neural networks: LSTM cells and network architectures.

Best Practices for Large Language Models in Radiology A review of recurrent neural networks: LSTM cells and network architectures

Reference 7

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source=arxiv_source observed=2026-08-12T04:35:59.199113Z digest=sha256:1d02bfb48f8fef0e8540a292d7f2a37133952bb9624795971c647a9e38ada22c

Observation 1a3d98cc-d4e3-42fa-af10-acd719cd31d1 · outbound

This paper cites Attention Is All You Need.

Best Practices for Large Language Models in Radiology Attention Is All You Need

Reference 8

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source=arxiv_source observed=2026-08-12T04:35:59.203787Z digest=sha256:b9b713c53a13362cf60fe3ed0aa1ce64d4479a77707c337949afb8134fa7bc5e

Observation e059378a-f043-4499-ab66-eb143711546f · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Best Practices for Large Language Models in Radiology BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

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source=arxiv_source observed=2026-08-12T04:35:59.208778Z digest=sha256:0b0a03db25d5aa23e16c08857c5b31ba2a37775e8324cd7f9dcc6b94dec93334

Observation c2c733f9-cfbe-4591-bde3-3e28fd6fc985 · outbound

This paper cites Language Models are Few-Shot Learners.

Best Practices for Large Language Models in Radiology Language Models are Few-Shot Learners

Reference 10

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source=arxiv_source observed=2026-08-12T04:35:59.213544Z digest=sha256:a24ecc8500e4e4313d495128700554c86b93b06a57c8078803dae631c47ed756

Observation 8de72e22-39a5-4d1d-96db-079b7eda5365 · outbound

This paper cites Scaling Laws for Neural Language Models.

Best Practices for Large Language Models in Radiology Scaling Laws for Neural Language Models

Reference 11

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source=arxiv_source observed=2026-08-12T04:35:59.218520Z digest=sha256:25956b05abafe22ee18d89ba805380d3663841ec6442dc3a4ef76c3d408bc763

Observation 5e7a13b3-6e01-4373-904e-6766c675413d · outbound

This paper cites RadAdapt : Radiology report summarization via lightweight domain adaptation of large language models.

Best Practices for Large Language Models in Radiology RadAdapt : Radiology report summarization via lightweight domain adaptation of large language models

Reference 12

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source=arxiv_source observed=2026-08-12T04:35:59.223796Z digest=sha256:7a015d3f8e77852ab5668d7f1375cf2ed3a6e15db576ac3fd59f37314ffc6dcb

Observation 72b88c07-782c-4cad-9366-51c2acc81e89 · outbound

This paper cites Xlnet: Generalized autoregressive pretraining for language understanding.

Best Practices for Large Language Models in Radiology Xlnet: Generalized autoregressive pretraining for language understanding

Reference 13

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source=arxiv_source observed=2026-08-12T04:35:59.228292Z digest=sha256:7d1530d47bf644d35981f329a8832695399a2c537ec7bb9b9b5540cd21a6557e

Observation 0274572b-fcd7-4012-8a38-5ce4e8c344d5 · outbound

This paper cites Training language models to follow instructions with human feedback.

Best Practices for Large Language Models in Radiology Training language models to follow instructions with human feedback

Reference 14

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source=arxiv_source observed=2026-08-12T04:35:59.232644Z digest=sha256:fce6a1c78e203551d6306b9bd635b87201b66f415f993469b156b611682ffa7c

Observation 695a1ccb-c1d5-48a5-b058-698e7abc4b5d · outbound

This paper cites VisualGPT : Data -efficient adaptation of pretrained language models for image captioning.

Best Practices for Large Language Models in Radiology VisualGPT : Data -efficient adaptation of pretrained language models for image captioning

Reference 15

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source=arxiv_source observed=2026-08-12T04:35:59.237583Z digest=sha256:3d180edd1579aa18f686d06887a4a70793e666fafb0b5533ad11eb058d017067

Observation 45d2591b-5938-4401-96fe-74907935ef21 · outbound

This paper cites Visual instruction tuning.

Best Practices for Large Language Models in Radiology Visual instruction tuning

Reference 16

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source=arxiv_source observed=2026-08-12T04:35:59.242039Z digest=sha256:b3cca357677872baf49283fc87f7ed151af29f58cbbbae93de0f1bf984c730ac

Observation 4b266056-8e09-41b7-8605-f868b0856a7c · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

Best Practices for Large Language Models in Radiology Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 17

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source=arxiv_source observed=2026-08-12T04:35:59.246440Z digest=sha256:652cf31e78521027bb33812793bcfee59cd60969a72e0c6d8c5463692d3d63d5

Observation 49c5b256-9756-4376-94b4-4529cdc99fd2 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Best Practices for Large Language Models in Radiology WebGPT: Browser-assisted question-answering with human feedback

Reference 18

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source=arxiv_source observed=2026-08-12T04:35:59.251171Z digest=sha256:22d2386a37264dc721fb339652ff9a8c0d761cb6392d580fa394cd08a618df32

Observation 1e5534aa-ffb6-4edd-80c1-acb7869182da · outbound

This paper cites Brady, Bibb Allen, Jaron Chong, Elmar Kotter, Nina Kottler, John Mongan, Lauren Oakden-Rayner, Daniel Pinto dos Santos, An Tang, Christoph Wald, and John Slavotinek.

Best Practices for Large Language Models in Radiology Brady, Bibb Allen, Jaron Chong, Elmar Kotter, Nina Kottler, John Mongan, Lauren Oakden-Rayner, Daniel Pinto dos Santos, An Tang, Christoph Wald, and John Slavotinek

Reference 19

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source=arxiv_source observed=2026-08-12T04:35:59.255912Z digest=sha256:a33ee0f3e5a8f9f482f9179e3cb799d8150e608973c36afad1d62519aa7b8603

Observation fcde40cb-a851-43d9-8178-66ccf39cc21c · outbound

This paper cites Large Language Models : A Guide for Radiologists.

Best Practices for Large Language Models in Radiology Large Language Models : A Guide for Radiologists

Reference 20

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source=arxiv_source observed=2026-08-12T04:35:59.260349Z digest=sha256:a75fb0af86aa8eed228239cee87c332c423e986724adc4cba548e3969a4728f7

Observation 78baff53-7855-49d2-93a2-2eb1f42123c0 · outbound

This paper cites Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting.

Best Practices for Large Language Models in Radiology Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting

Reference 21

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source=arxiv_source observed=2026-08-12T04:35:59.264822Z digest=sha256:3b48737077c0b0cd21266ec79879289b9c1513449793026b63cf3432179e4001

Observation 86a6fb89-5bb5-4227-b979-40203c5df67b · outbound

This paper cites Schmidt, Jarrel C.

Best Practices for Large Language Models in Radiology Schmidt, Jarrel C

Reference 22

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source=arxiv_source observed=2026-08-12T04:35:59.269465Z digest=sha256:3ccae3b4b073060a66fa22636cc0b49a7b9b4617cd36a5826966fa5c485ecbd3

Observation a9474314-6992-47d4-a500-561860364838 · outbound

This paper cites Nestor, Ali Soroush, Pierre A.

Best Practices for Large Language Models in Radiology Nestor, Ali Soroush, Pierre A

Reference 23

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source=arxiv_source observed=2026-08-12T04:35:59.275203Z digest=sha256:91d81aa7a14d18925ed591ce85926022bc44aa888e584e33d30a20574c6773fa

Observation 954f94fc-0a7c-4b1c-b777-edc68650b6cc · outbound

This paper cites Wong, David Blumenthal, Isaac Kohane, and the editors and editorial board of NEJM AI.

Best Practices for Large Language Models in Radiology Wong, David Blumenthal, Isaac Kohane, and the editors and editorial board of NEJM AI

Reference 24

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source=arxiv_source observed=2026-08-12T04:35:59.280343Z digest=sha256:01f81c6958882510e0cf8579211427ace855479716fa2716ea1b51ebf927e4ce

Observation f9cb2e43-787d-45ed-99fb-ccffa83ed2c1 · outbound

This paper cites Raymond Geis, Adrian P.

Best Practices for Large Language Models in Radiology Raymond Geis, Adrian P

Reference 25

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source=arxiv_source observed=2026-08-12T04:35:59.284785Z digest=sha256:b70faf1050b26eecaeb3a34a6bf05c7435acd20f4446401fc47aa85c29628e6d

Observation 8a34a6d4-524a-47f9-b87f-1c8cc9abb393 · outbound

This paper cites A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation.

Best Practices for Large Language Models in Radiology A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation

Reference 26

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source=arxiv_source observed=2026-08-12T04:35:59.289181Z digest=sha256:196dadb917f2dfbb82345fbfe72a3c819e7e299f966183803990ae9ace91eb5f

Observation e379b09c-12f4-4f02-9a1f-21dac234b142 · outbound

This paper cites A generalist agent.

Best Practices for Large Language Models in Radiology A generalist agent

Reference 27

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source=arxiv_source observed=2026-08-12T04:35:59.293721Z digest=sha256:354e4935349af5eeb2aa8e7a2a9092e5ea0b881cfc3933878ebc0fd1125f8a38

Observation 1c030de9-1c0e-4236-b7e9-0fe781ca3efc · outbound

This paper cites Large language model AI chatbots require approval as medical devices.

Best Practices for Large Language Models in Radiology Large language model AI chatbots require approval as medical devices

Reference 28

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source=arxiv_source observed=2026-08-12T04:35:59.298282Z digest=sha256:ba8576613d2e75c76041921d39f486f43f0ad7f99a93a2e111200545a0b1e84e

Observation 5af5d9fb-843a-4f76-884b-81f93224e840 · outbound

This paper cites Klontzas, Renato Cuocolo, Roberto Cannella, and Burak Koçak.

Best Practices for Large Language Models in Radiology Klontzas, Renato Cuocolo, Roberto Cannella, and Burak Koçak

Reference 29

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source=arxiv_source observed=2026-08-12T04:35:59.302675Z digest=sha256:5a906572114b0ad806d0e80fd9c887eb1ab9865f2be4a053d0aa4b28fac44246

Observation a2de83d1-7b73-462a-a9bf-54ea742e8850 · outbound

This paper cites Omiye, Haiwen Gui, Shawheen J.

Best Practices for Large Language Models in Radiology Omiye, Haiwen Gui, Shawheen J

Reference 30

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source=arxiv_source observed=2026-08-12T04:35:59.307493Z digest=sha256:e56524704ae98ffe356ba8b169effa9b96d7424faa7eafc9ce9ccb0a08a67f4d

Observation ccd4508c-6bd4-4a7f-a6b5-912b32940f16 · outbound

This paper cites A Survey of Large Language Models for Healthcare : From Data , Technology , and Applications to Accountability and Ethics , October 2023.

Best Practices for Large Language Models in Radiology A Survey of Large Language Models for Healthcare : From Data , Technology , and Applications to Accountability and Ethics , October 2023

Reference 31

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source=arxiv_source observed=2026-08-12T04:35:59.312094Z digest=sha256:a7fa7b714ee4db75681509fbcf12ddb69760e97c850455ed9dd5a8b99f1f2be4

Observation 162c3f3b-8518-43ff-9b6e-137022171434 · outbound

This paper cites A Survey on Evaluation of Large Language Models.

Best Practices for Large Language Models in Radiology A Survey on Evaluation of Large Language Models

Reference 32

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source=arxiv_source observed=2026-08-12T04:35:59.316570Z digest=sha256:16c7a1b277c17298f52bc2151bcefc674cd9356b18c046cf069187afc3b1f365

Observation 1b67e501-0efb-4ae6-a995-c68c06a0dbcc · outbound

This paper cites A Survey of Large Language Models.

Best Practices for Large Language Models in Radiology A Survey of Large Language Models

Reference 33

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source=arxiv_source observed=2026-08-12T04:35:59.321131Z digest=sha256:1507091585851024fe60cdcb26499853ac2661ce15a6d9119bb99ff94da1473e

Observation 490a6850-9c95-41b0-920c-13c12ac1a4fc · outbound

This paper cites Smith, Felix Greaves, and Trishan Panch.

Best Practices for Large Language Models in Radiology Smith, Felix Greaves, and Trishan Panch

Reference 34

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source=arxiv_source observed=2026-08-12T04:35:59.325638Z digest=sha256:31097f8536ad4f22ac8c6302834f523cd73ac91c0db9272c2dee27c85849598a

Observation 1e8c28f2-0a1e-4b44-afe8-4f1190f36755 · outbound

This paper cites Thornton.

Best Practices for Large Language Models in Radiology Thornton

Reference 35

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source=arxiv_source observed=2026-08-12T04:35:59.330023Z digest=sha256:278dfe90b7c75947ad953ef613e9c6ba76a18b536d74783c015c72f5cdef0838

Observation 51c9dedb-5386-4f21-939a-82b28e193a2b · outbound

This paper cites Evaluating Object Hallucination in Large Vision - Language Models.

Best Practices for Large Language Models in Radiology Evaluating Object Hallucination in Large Vision - Language Models

Reference 36

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source=arxiv_source observed=2026-08-12T04:35:59.334482Z digest=sha256:cd6ebece0bca45932666db316a24e33ccc8551c7e9ae64bd370742cc5058f27c

Observation c905ab54-64c5-42b0-9599-8ca741640fa7 · outbound

This paper cites Explainability for Large Language Models : A Survey.

Best Practices for Large Language Models in Radiology Explainability for Large Language Models : A Survey

Reference 37

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source=arxiv_source observed=2026-08-12T04:35:59.338866Z digest=sha256:af7926ed95928b9066e939bded9210e77447110f696dd67641090c96c24c218f

Observation cfb3bf22-0200-4ccc-b900-9a03159c1328 · outbound

This paper cites A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.

Best Practices for Large Language Models in Radiology A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

Reference 38

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source=arxiv_source observed=2026-08-12T04:35:59.343050Z digest=sha256:3f3d1e96bbf4d8b07fe60e1ad8fb9fdaccac974bc0e177cf794eda25bc9e93a4

Observation c9593578-d3bc-4f8d-8bf1-9f5578d023e4 · outbound

This paper cites an unresolved cited work.

Best Practices for Large Language Models in Radiology Unresolved cited work

Reference 39

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source=arxiv_source observed=2026-08-12T04:35:59.348001Z digest=sha256:a53b10bbb06f17b9d6f5655df204a740ea8ccf0ec3877292fd7c3b426da60106

Observation f5095975-0dac-443f-8e15-6181ec89777b · outbound

This paper cites Reis-Filho, and Jakob Nikolas Kather.

Best Practices for Large Language Models in Radiology Reis-Filho, and Jakob Nikolas Kather

Reference 40

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source=arxiv_source observed=2026-08-12T04:35:59.352358Z digest=sha256:75218cc643d7978ee39199fe9e68db6dcbf311fe881e63c239ed89eb23a27538

Observation 2431ef7c-704d-41b9-ae98-4fb4e6fdf1a1 · outbound

This paper cites Large language models in medicine.

Best Practices for Large Language Models in Radiology Large language models in medicine

Reference 41

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source=arxiv_source observed=2026-08-12T04:35:59.356573Z digest=sha256:d34d6ed81b6536a31577604ef3893ef5f1f3762b7dc7c63c157217490e0f18d7

Observation 7997312a-46b3-4164-a67b-876f98b3699e · outbound

This paper cites The Llama 3 Herd of Models.

Best Practices for Large Language Models in Radiology The Llama 3 Herd of Models

Reference 42

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source=arxiv_source observed=2026-08-12T04:35:59.361151Z digest=sha256:687e2664377031e0aaaf0989a87d4b658d077f8c8c0e35a594c6dc221c1d740c

Observation 42cadaf6-7ac6-46a1-8fc0-be7d717b1392 · outbound

This paper cites Capabilities of Gemini Models in Medicine.

Best Practices for Large Language Models in Radiology Capabilities of Gemini Models in Medicine

Reference 43

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source=arxiv_source observed=2026-08-12T04:35:59.366342Z digest=sha256:ec465c6eb3028f77cb2f3b9d06b1ba64d5597126aceacb1763300a32de557444

Observation 73a9167d-35cf-4a1f-a331-66b6fbbaeefc · outbound

This paper cites an unresolved cited work.

Best Practices for Large Language Models in Radiology Unresolved cited work

Reference 44

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no resolver link, observed 2026-08-12T04:35:59.371678Z

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source=arxiv_source observed=2026-08-12T04:35:59.371678Z digest=sha256:5f7c1cfca9fac27122f121b58204cb8c94d5b70df5856060669327542ff0bd27

Observation 8fdc91a2-0a02-4aae-b8eb-ce31aab48bd3 · outbound

This paper cites Bias and Fairness in Large Language Models: A Survey.

Best Practices for Large Language Models in Radiology Bias and Fairness in Large Language Models: A Survey

Reference 45

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no resolver link, observed 2026-08-12T04:35:59.376378Z

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source=arxiv_source observed=2026-08-12T04:35:59.376378Z digest=sha256:a69680d729caa8cff51bfac9cf7e550cf39c83f5ab4bf6596c149a7f821b5b36

Observation 6253f6fe-e194-4145-b724-c9ea3f54bc97 · outbound

This paper cites Unveiling Gender Bias in Terms of Profession Across LLMs: Analyzing and Addressing Sociological Implications.

Best Practices for Large Language Models in Radiology Unveiling Gender Bias in Terms of Profession Across LLMs: Analyzing and Addressing Sociological Implications

Reference 46

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no resolver link, observed 2026-08-12T04:35:59.380893Z

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source=arxiv_source observed=2026-08-12T04:35:59.380893Z digest=sha256:2f3d9d51192e9ef5476aaecbcbe4605da9dbb1e95d7d140b2651db2a4a56747a

Observation 2f3bef3d-a67f-40a5-bee1-69fc4c20a34c · outbound

This paper cites Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects.

Best Practices for Large Language Models in Radiology Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects

Reference 47

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no resolver link, observed 2026-08-12T04:35:59.386345Z

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source=arxiv_source observed=2026-08-12T04:35:59.386345Z digest=sha256:a0026cb45b1a146fd4bdb0aa6d4893ab8d80272bf32fcf43e6ebd78946c196d8

Observation a28a63bf-7ed2-4a81-9cd1-f70bf74e8599 · outbound

This paper cites Extracting Training Data from Large Language Models.

Best Practices for Large Language Models in Radiology Extracting Training Data from Large Language Models

Reference 48

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source=arxiv_source observed=2026-08-12T04:35:59.391085Z digest=sha256:a08da1c32cd8daeed57324808c8c906642bf6f4d837b3bd4e3973ae5e7f9839c

Observation f7bbab64-b2a2-413e-8f10-d1d2842e4767 · outbound

This paper cites Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitization.

Best Practices for Large Language Models in Radiology Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitization

Reference 49

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no resolver link, observed 2026-08-12T04:35:59.395543Z

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source=arxiv_source observed=2026-08-12T04:35:59.395543Z digest=sha256:fe81f3b621a2ba12ff1b4274fa5cdfd288b3907ee9e74e60a7245a34c9d0f30c

Observation eb3f2e0e-a691-402c-9837-f5e40432d4f6 · outbound

This paper cites https://openai.com/blog/bug-bounty-program [acc.

Best Practices for Large Language Models in Radiology https://openai.com/blog/bug-bounty-program [acc

Reference 50

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no resolver link, observed 2026-08-12T04:35:59.400330Z

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source=arxiv_source observed=2026-08-12T04:35:59.400330Z digest=sha256:e0a8688eac110e32cccf7411791e8fcc73c0eb79fbd09a509465e6e508007f96

Observation b926df8a-4bd6-48ee-80f8-c52fa1eee167 · outbound

This paper cites Abusing Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMs.

Best Practices for Large Language Models in Radiology Abusing Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMs

Reference 51

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no resolver link, observed 2026-08-12T04:35:59.404683Z

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source=arxiv_source observed=2026-08-12T04:35:59.404683Z digest=sha256:3dee80fdb050866d93fbe5854e2e7599f5fbfa2b9874ef284019d906a8e43b43

Observation 92f31872-6077-47cd-a637-316037cbccfa · outbound

This paper cites Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization.

Best Practices for Large Language Models in Radiology Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization

Reference 52

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no resolver link, observed 2026-08-12T04:35:59.409343Z

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source=arxiv_source observed=2026-08-12T04:35:59.409343Z digest=sha256:9a80d61dec2246b3159c5c6346a08a027acf8356d4caa0eebc3b88c9d3a3a0d6

Observation 4ff3e5e3-ccd7-4387-ae8b-f85ad31f1a9d · outbound

This paper cites The Case for Co-Designing Model Architectures with Hardware.

Best Practices for Large Language Models in Radiology The Case for Co-Designing Model Architectures with Hardware

Reference 53

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no resolver link, observed 2026-08-12T04:35:59.413721Z

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source=arxiv_source observed=2026-08-12T04:35:59.413721Z digest=sha256:6bf233848e670f5a28a5f665bde58b4423a8630aa6aac9fa198f3c0a5e9fc6d9

Observation 2833cdee-78e2-4f30-b200-8044aa86c938 · outbound

This paper cites ZeRO: Memory Optimizations Toward Training Trillion Parameter Models.

Best Practices for Large Language Models in Radiology ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Reference 54

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no resolver link, observed 2026-08-12T04:35:59.418429Z

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source=arxiv_source observed=2026-08-12T04:35:59.418429Z digest=sha256:2427204b381aae30066f5d7c5e89ebbc2338a34bf68d8ac4cc3c77e7fb8eea48

Observation 4994e3b6-b716-4e33-9b1b-af92b787cbe4 · outbound

This paper cites Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

Best Practices for Large Language Models in Radiology Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Reference 55

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no resolver link, observed 2026-08-12T04:35:59.423225Z

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source=arxiv_source observed=2026-08-12T04:35:59.423225Z digest=sha256:222d97325f384b5e068aba874981f18a9bcdb1f8fce73a078f0b929a939b83a6

Observation 62ce0dd1-4eaa-40c8-b65e-db8572b180c3 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Best Practices for Large Language Models in Radiology Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 56

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no resolver link, observed 2026-08-12T04:35:59.428024Z

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source=arxiv_source observed=2026-08-12T04:35:59.428024Z digest=sha256:55532410c1a132919a76d83a8815e5b1077fbf6d178a33dc7c406cb2a638c0b4

Observation 6c35e108-eb00-4be5-86f4-eab32a92dfe9 · outbound

This paper cites Hashimoto.

Best Practices for Large Language Models in Radiology Hashimoto

Reference 57

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no resolver link, observed 2026-08-12T04:35:59.432493Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T04:35:59.432493Z digest=sha256:488b25fd301bc42b634a24a7ea71cb77b747bda49d47ed76603f1f1b501c9042

Observation 7f2c3996-a779-443d-8f07-3a314603996e · outbound

This paper cites Towards Expert-Level Medical Question Answering with Large Language Models.

Best Practices for Large Language Models in Radiology Towards Expert-Level Medical Question Answering with Large Language Models

Reference 58

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no resolver link, observed 2026-08-12T04:35:59.436731Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T04:35:59.436731Z digest=sha256:a56a92c3fc9ed2d33a2c99bbc59ee22a8f3671d1fdfdef7743705dd5d4ace1c4

Observation 0a14a28c-6a68-4e04-ab06-06b48a30b463 · outbound

This paper cites Mistral 7B.

Best Practices for Large Language Models in Radiology Mistral 7B

Reference 59

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no resolver link, observed 2026-08-12T04:35:59.441311Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T04:35:59.441311Z digest=sha256:136c03e070858b1b4de01343c4223ef1840d5d0d577064e3e29b09c63d6e4e55

Observation 3275cf01-05fb-4cb1-8eec-1dcc1325ff94 · outbound

This paper cites Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization?.

Best Practices for Large Language Models in Radiology Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization?

Reference 60

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no resolver link, observed 2026-08-12T04:35:59.445849Z

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source=arxiv_source observed=2026-08-12T04:35:59.445849Z digest=sha256:5ee965e0930dfc5b33004534f417263f8207b4a4562949e0a77ac85dc0809b9d

Observation f16482c0-eff2-4af3-8669-14a7085494df · outbound

This paper cites Mixtral of Experts.

Best Practices for Large Language Models in Radiology Mixtral of Experts

Reference 61

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no resolver link, observed 2026-08-12T04:35:59.450530Z

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source=arxiv_source observed=2026-08-12T04:35:59.450530Z digest=sha256:c9fac751a2c535cefa16cc3092076657dcbf1ff00cac520fac27dcdd8547d63d

Observation 1ffa7719-9eaa-40b1-82ae-322604b622f8 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Best Practices for Large Language Models in Radiology Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 62

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source=arxiv_source observed=2026-08-12T04:35:59.454946Z digest=sha256:b70c9192d7b9f938e53bb89842a7165d23c2bac6e92cae488f2ae6882527c99d

Observation b669dc4d-90da-471b-9fd3-31b5bdd24073 · outbound

This paper cites Shah, David Entwistle, and Michael A.

Best Practices for Large Language Models in Radiology Shah, David Entwistle, and Michael A

Reference 63

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source=arxiv_source observed=2026-08-12T04:35:59.459900Z digest=sha256:54ca36834054a5e92425f27e1e294f6b7455c9f441e4b7625f4d458ff9547ea7

Observation 09708e2c-18de-4dc9-b74d-307cc40938b0 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Best Practices for Large Language Models in Radiology Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 64

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source=arxiv_source observed=2026-08-12T04:35:59.464568Z digest=sha256:5186387bab8c83fad0500ae630aceab4fa9d7fa187c8d95ddafcc3195e74af46

Observation aa3aff06-8c1d-4528-bbfc-2f1823a31432 · outbound

This paper cites RLHF : Reinforcement Learning from Human Feedback , May 2023.

Best Practices for Large Language Models in Radiology RLHF : Reinforcement Learning from Human Feedback , May 2023

Reference 65

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no resolver link, observed 2026-08-12T04:35:59.469176Z

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source=arxiv_source observed=2026-08-12T04:35:59.469176Z digest=sha256:5617ba13b12e67508f24854853497486fb73dab50006c2c5a364d71334dc7cf4

Observation f552a290-abff-450b-8e33-5bbf65fab7ba · outbound

This paper cites DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task.

Best Practices for Large Language Models in Radiology DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task

Reference 66

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no resolver link, observed 2026-08-12T04:35:59.473737Z

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source=arxiv_source observed=2026-08-12T04:35:59.473737Z digest=sha256:0b99cad15941bcaf2a97de23dde04c6fdbfb24da71c8476d8ffdd8a4a53a9cac

Observation 62587f53-beee-4d42-be81-e97461599d0a · outbound

This paper cites LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.

Best Practices for Large Language Models in Radiology LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Reference 67

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no resolver link, observed 2026-08-12T04:35:59.478137Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:35:59.478137Z digest=sha256:7e8799027a478acd62cdf7bffe55c889d48130114fe7e9c4c631223b27397492

Observation 7e2394b2-66cd-402c-8f1c-1911164f4947 · outbound

This paper cites Universal Language Model Fine-tuning for Text Classification.

Best Practices for Large Language Models in Radiology Universal Language Model Fine-tuning for Text Classification

Reference 68

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no resolver link, observed 2026-08-12T04:35:59.483177Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:35:59.483177Z digest=sha256:95589c1b41039a116aacd2362c6398a081f0614708d73e27ca24023c67c1b063

Observation 902816d3-568c-49c4-bb30-37fcbf791958 · outbound

This paper cites MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data.

Best Practices for Large Language Models in Radiology MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 69

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no resolver link, observed 2026-08-12T04:35:59.488089Z

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source=arxiv_source observed=2026-08-12T04:35:59.488089Z digest=sha256:768020d212419eed02cbfda0faa8d34d610673dcba0718da6d789cc04ab97e79

Observation 1904ef5d-a8c1-4b00-9921-224c1f71bee9 · outbound

This paper cites an unresolved cited work.

Best Practices for Large Language Models in Radiology Unresolved cited work

Reference 70

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no resolver link, observed 2026-08-12T04:35:59.492606Z

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source=arxiv_source observed=2026-08-12T04:35:59.492606Z digest=sha256:6d4b4de028a340a366c5df308201a5713218e545803d82a0a6ecc880ef46daa1

Observation 958e3d59-a2e3-4821-b5a6-25e07cde6d06 · outbound

This paper cites Crosslingual Generalization through Multitask Finetuning.

Best Practices for Large Language Models in Radiology Crosslingual Generalization through Multitask Finetuning

Reference 71

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source=arxiv_source observed=2026-08-12T04:35:59.497342Z digest=sha256:183bdd56451f7e8dfa33d6f2211aa8fc192b2392b1fb2381ff98e166e222c7e0

Observation 627e066d-cf78-46da-beef-dbc4afd38e81 · outbound

This paper cites Holistic Evaluation of Language Models.

Best Practices for Large Language Models in Radiology Holistic Evaluation of Language Models

Reference 72

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no resolver link, observed 2026-08-12T04:35:59.502032Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T04:35:59.502032Z digest=sha256:f895912dd7bff9136d7b0884c2ec27bfa34f38fe446620d82cbf4124b59fd7c8

Observation 7b6ad297-9482-4026-9f2b-d81dd3c793db · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Best Practices for Large Language Models in Radiology Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 73

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no resolver link, observed 2026-08-12T04:35:59.506504Z

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source=arxiv_source observed=2026-08-12T04:35:59.506504Z digest=sha256:00ca2ad2e3389eb3d4ba5093b460a06e0aab6f247c59c41d999c4825aab7c87b

Observation 951cc103-864c-4aee-9196-1e253aacfaca · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

Best Practices for Large Language Models in Radiology KTO: Model Alignment as Prospect Theoretic Optimization

Reference 74

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no resolver link, observed 2026-08-12T04:35:59.510878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:35:59.510878Z digest=sha256:5813a9bc9298c8334da4aeeb6367703da5575f9fd7e93410f32eb872a916073f

Observation 4896e1e4-2806-466f-81ac-931d98eabe67 · outbound

This paper cites Self-Alignment with Instruction Backtranslation.

Best Practices for Large Language Models in Radiology Self-Alignment with Instruction Backtranslation

Reference 75

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no resolver link, observed 2026-08-12T04:35:59.515363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:35:59.515363Z digest=sha256:169b84ebe5c26bfe9977134278c5ff7326904626ee48b3f5eea2a2e808b5e1e4

Observation ac670bad-ae22-4d8a-bc48-beeccaefe286 · outbound

This paper cites Smith, Daniel Khashabi, and Hannaneh Hajishirzi.

Best Practices for Large Language Models in Radiology Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 76

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no resolver link, observed 2026-08-12T04:35:59.519925Z

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source=arxiv_source observed=2026-08-12T04:35:59.519925Z digest=sha256:68008c03346dd53db98af8fccfaf477afeb474d5729849acf3a4687b6f9b40ea

Observation e43b0395-b3c3-43f7-88ab-1814b40bd784 · outbound

This paper cites Self-Verification Improves Few-Shot Clinical Information Extraction.

Best Practices for Large Language Models in Radiology Self-Verification Improves Few-Shot Clinical Information Extraction

Reference 77

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:35:59.524275Z digest=sha256:2c4e1a738f51a0ed33ebf1388c5cdda97a5e84b06d391bed549956331b759bc6

Observation f322fb86-f083-48be-8644-22d29d6150b7 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Best Practices for Large Language Models in Radiology LoRA: Low-Rank Adaptation of Large Language Models

Reference 78

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no resolver link, observed 2026-08-12T04:35:59.528883Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:35:59.528883Z digest=sha256:55e7aa5cf6bf16af0565487a92203a14838b8a895f4a4b0c56929c111452707c

Observation 83ffb1c1-3381-43ad-b882-488b13e5ddb4 · outbound

This paper cites an unresolved cited work.

Best Practices for Large Language Models in Radiology Unresolved cited work

Reference 79

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no resolver link, observed 2026-08-12T04:35:59.533661Z

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source=arxiv_source observed=2026-08-12T04:35:59.533661Z digest=sha256:c8215ba8266cae4f72875678f04fe7454a65e1b20de526e0fd8db72a9fb39151

Observation 88a32d0e-bc22-41fe-8e98-41480bb6f5d1 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Best Practices for Large Language Models in Radiology The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 80

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no resolver link, observed 2026-08-12T04:35:59.538328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:35:59.538328Z digest=sha256:725b3b10e8c2425645d091553a27a05ca7b58939695d36696420ab7bae5ac8e4

Observation f5014e00-5819-44b8-abeb-3b4fe7587bdc · outbound

This paper cites Tuning Language Models by Proxy.

Best Practices for Large Language Models in Radiology Tuning Language Models by Proxy

Reference 81

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no resolver link, observed 2026-08-12T04:35:59.543008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:35:59.543008Z digest=sha256:1d699fcb6603ef5f5416287be747e7bbe57088149ccfcc015f88d5282609604b

Observation c2892e8a-aec1-49be-a90a-02265efa898a · outbound

This paper cites PEFT : State -of-the-art parameter-efficient fine-tuning methods, 2022.

Best Practices for Large Language Models in Radiology PEFT : State -of-the-art parameter-efficient fine-tuning methods, 2022

Reference 82

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unresolved
no resolver link, observed 2026-08-12T04:35:59.547760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:35:59.547760Z digest=sha256:1c36da20b541409de46a021372360487d027bded92ea438e683cf223f83fe7ea

Observation 9b78011c-68f9-4be6-8705-7d6b60b8b9f6 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Best Practices for Large Language Models in Radiology QLoRA: Efficient Finetuning of Quantized LLMs

Reference 83

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unresolved
no resolver link, observed 2026-08-12T04:35:59.552189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:35:59.552189Z digest=sha256:132b3c880fbd075cfe205afda2c4ea917bcadd0c828d4f9b9a7ae9a53753479f

Observation 62c0355b-cd23-434b-a340-11b7b1ed9369 · outbound

This paper cites Dataset Distillation.

Best Practices for Large Language Models in Radiology Dataset Distillation

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-12T04:35:59.556723Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T04:35:59.556723Z digest=sha256:3764838dfc639b805af893b8a820400ad5edbec36425fb64f543832783c27914

Observation c1cee276-30cb-4259-b6c4-2380195db7f9 · outbound

This paper cites Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.

Best Practices for Large Language Models in Radiology Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Reference 85

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unresolved
no resolver link, observed 2026-08-12T04:35:59.561260Z

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source=arxiv_source observed=2026-08-12T04:35:59.561260Z digest=sha256:462f345bd0b192b9ae46044c2835030ee2e6eff0ea660746853549b3b055e154

Observation db58ac97-9010-477d-982b-eb11aba258ec · outbound

This paper cites https://ollama.com [acc.

Best Practices for Large Language Models in Radiology https://ollama.com [acc

Reference 86

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unresolved
no resolver link, observed 2026-08-12T04:35:59.565740Z

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source=arxiv_source observed=2026-08-12T04:35:59.565740Z digest=sha256:483ed3351a2fed3d138a4874942158dd148581665fe43e9a5785c5da0e0f1d4b

Observation f85f6541-e409-4b1d-971f-ad9a60f1bc6f · outbound

This paper cites Lungren, Hoifung Poon, and Akshay S.

Best Practices for Large Language Models in Radiology Lungren, Hoifung Poon, and Akshay S

Reference 87

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malformed identifier
no resolver link, observed 2026-08-12T04:35:59.570263Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T04:35:59.570263Z digest=sha256:81752067e72b09c1c7d69ebb0bdb97de2bc09d75529ee252f4d6714f7bd55d59

Observation a00e5a41-5c81-45ca-8336-a4b5eebc8539 · outbound

This paper cites MM-LLMs: Recent Advances in MultiModal Large Language Models.

Best Practices for Large Language Models in Radiology MM-LLMs: Recent Advances in MultiModal Large Language Models

Reference 88

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unresolved
no resolver link, observed 2026-08-12T04:35:59.574566Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T04:35:59.574566Z digest=sha256:6f560272cf873c063cad498817386f7c0644ca0ee56ed945e31c0b72797fede6

Observation a5b07b2c-2694-4f8a-a431-8f4a3000cc0b · outbound

This paper cites Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.

Best Practices for Large Language Models in Radiology Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Reference 89

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unresolved
no resolver link, observed 2026-08-12T04:35:59.579237Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T04:35:59.579237Z digest=sha256:a885cccffc28a37756233df43d8302fdcac5199fd2e21282c5009ae9b0d778f8

Observation 4ef7c21f-e4be-4c56-b125-c83f23cfdfec · outbound

This paper cites The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision).

Best Practices for Large Language Models in Radiology The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)

Reference 90

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no resolver link, observed 2026-08-12T04:35:59.583969Z

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source=arxiv_source observed=2026-08-12T04:35:59.583969Z digest=sha256:600e02f7e1636f421089826d163b365fed5472f59ce3fbbaf8514036d60233b2

Observation 88082f5c-6adb-40a3-a75a-4ac2e2dbaba2 · outbound

This paper cites Towards Generalist Biomedical AI.

Best Practices for Large Language Models in Radiology Towards Generalist Biomedical AI

Reference 91

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unresolved
no resolver link, observed 2026-08-12T04:35:59.588664Z

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source=arxiv_source observed=2026-08-12T04:35:59.588664Z digest=sha256:312b8643d60e546eb36bc7a06001c990245cbccf318ae6af203f64e1e6451dc3

Observation 8aca1499-7431-4094-801e-5083c81d945a · outbound

This paper cites Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data.

Best Practices for Large Language Models in Radiology Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data

Reference 92

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unresolved
no resolver link, observed 2026-08-12T04:35:59.593181Z

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source=arxiv_source observed=2026-08-12T04:35:59.593181Z digest=sha256:a31af02607649e734a033d18684f6a7256ad19e7c9e6355b38a2d51202705af2

Observation ab81d05b-0686-4e86-b5c5-7da5a8ee6cce · outbound

This paper cites RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance.

Best Practices for Large Language Models in Radiology RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance

Reference 93

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unresolved
no resolver link, observed 2026-08-12T04:35:59.598202Z

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source=arxiv_source observed=2026-08-12T04:35:59.598202Z digest=sha256:7a0ef210c94dcc6f11acaf47600abdd9969c3b88cf8b271580ca2213da569c02

Observation 691801ef-7803-465e-b9ea-9ca2898bb855 · outbound

This paper cites CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images.

Best Practices for Large Language Models in Radiology CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images

Reference 94

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unresolved
no resolver link, observed 2026-08-12T04:35:59.603321Z

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source=arxiv_source observed=2026-08-12T04:35:59.603321Z digest=sha256:ac4793d43fa825c5db34aaa3be1946c9ff3da296dcc57dba969c3f6188a9c862

Observation b0e3b96f-6942-4edb-969f-52d0c0fbe430 · outbound

This paper cites Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.

Best Practices for Large Language Models in Radiology Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Reference 95

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unresolved
no resolver link, observed 2026-08-12T04:35:59.608391Z

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source=arxiv_source observed=2026-08-12T04:35:59.608391Z digest=sha256:543043ff97efd21c54415bb04d98ed8779df4ea2916f7149ffc30987d6e9d0d0

Observation 13fcf659-2b13-44fa-82bd-f9031fa23b73 · outbound

This paper cites Goodman, Paul H.

Best Practices for Large Language Models in Radiology Goodman, Paul H

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:36:00.951944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T04:35:59.613263Z digest=sha256:2453d4b9355cc93ba70c95bf4734b937ef49341eab38bee91f9271396b411163

Observation 9ea1931f-aa21-4b99-9c0d-7301f6792173 · outbound

This paper cites BLEU : A method for automatic evaluation of machine translation.

Best Practices for Large Language Models in Radiology BLEU : A method for automatic evaluation of machine translation

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:36:00.937328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T04:35:59.618280Z digest=sha256:d563500d46d9267a7d8d0206669223d02bb7e00ad393e8e2fb97f96054f09db5

Observation 1908a7c5-159a-4767-9867-7c13a376d682 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

Best Practices for Large Language Models in Radiology Rouge: A package for automatic evaluation of summaries

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:36:00.921950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T04:35:59.622886Z digest=sha256:c39ee74b38905f8567a1599bb4417ef7a4d134a3c22dcceaf8881f4bc5d483e6

Observation 1af7ba9c-db6b-443e-a954-51c88a382e23 · outbound

This paper cites ACI - BENCH : a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation , June 2023.

Best Practices for Large Language Models in Radiology ACI - BENCH : a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation , June 2023

Reference 99

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verified fuzzy
raw_fallback, observed 2026-08-12T04:36:00.906206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T04:35:59.627231Z digest=sha256:08a01fbd087d8e202c65c024d90ad630534720a372c9a8ef028fedfcc7af98f5

Observation a1c12a57-01bd-4d48-9466-3a6274928eaa · outbound

This paper cites BERTScore : Evaluating text generation with BERT.

Best Practices for Large Language Models in Radiology BERTScore : Evaluating text generation with BERT

Reference 100

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verified fuzzy
raw_fallback, observed 2026-08-12T04:36:00.892214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-12T04:35:59.631748Z digest=sha256:931e5b9188e208f4c792f2ee22aa70ac9fe1527b2db5d38e0d7babc764fd244e

Pith citing papers

Observation 86f25fa5-5147-47d8-aa89-696b965a95ee · inbound

From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine cites this paper.

From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine Best Practices for Large Language Models in Radiology

Reference 169

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metadata mismatch
local_arxiv, observed 2026-08-07T22:13:33.035640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T22:13:32.595357Z digest=sha256:5ba836c525ef7b1ee49aa6c08ac5d3eb6f10ea34be9c02afe2e198aa2e59b753