Fully Open Meditron: An Auditable Pipeline for Clinical LLMs | Paper Citation Record

Observation 981e2505-389d-408b-9bbb-834e585fec26 · outbound

This paper cites MedGemma Technical Report.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs MedGemma Technical Report

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-06-30T19:15:00.096657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 05f97391-cf9c-4ac5-a8db-b8d662c9dad1 · outbound

This paper cites The aloe family recipe for open and specialized healthcare llms.npj Digital Medicine, 2026.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs The aloe family recipe for open and specialized healthcare llms.npj Digital Medicine, 2026

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.269028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8884d822-d8cb-4b00-b486-afb719fe7cdd · outbound

This paper cites MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-30T19:15:00.111405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 295e0dbc-b46a-4a0f-995a-95968e50b75f · outbound

This paper cites Biomistral: A collection of open-source pretrained large language models for medical domains.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Biomistral: A collection of open-source pretrained large language models for medical domains

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.276739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 897faeb5-5ac4-4c77-b4f9-9175f914342e · outbound

This paper cites Medical large language models are vulnerable to data-poisoning attacks.Nature Medicine, 31(2):618–626, 2025.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Medical large language models are vulnerable to data-poisoning attacks.Nature Medicine, 31(2):618–626, 2025

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.264684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 50002cd9-ad76-4253-a212-85282deef147 · outbound

This paper cites Training large language models on narrow tasks can lead to broad misalignment.Nature, 649(8097):584–589.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Training large language models on narrow tasks can lead to broad misalignment.Nature, 649(8097):584–589

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.262595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 91aa5c9f-bcd4-4c35-9c0a-b696fc5b0132 · outbound

This paper cites Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks.Journal of the American Medical Informatics Association, 32(6):1015–1024.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks.Journal of the American Medical Informatics Association, 32(6):1015–1024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.260498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ffc2059f-b285-4b1c-bbc1-d437ddefebe8 · outbound

This paper cites Large language models encode clinical knowledge.Nature, 620(7972):172–180.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Large language models encode clinical knowledge.Nature, 620(7972):172–180

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.279025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e5f75aee-fdad-415e-bdc1-433de771a2c2 · outbound

This paper cites Toward expert-level medical question answering with large language models.Nature medicine, 31(3):943–950.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Toward expert-level medical question answering with large language models.Nature medicine, 31(3):943–950

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.303662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e66bc468-0d93-4f9b-98d4-3645cc9c539a · outbound

This paper cites Capabilities of Gemini Models in Medicine.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Capabilities of Gemini Models in Medicine

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-06-30T19:15:00.119954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4bd214c6-3b3d-4892-a212-3b4372bde64f · outbound

This paper cites HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:15:00.084490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a97fe178-a2d1-4b38-a228-89c0a1c9d6a4 · outbound

This paper cites Pmc- llama: toward building open-source language models for medicine.Journal of the American Medical Informatics Association, 31(9):1833–1843.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Pmc- llama: toward building open-source language models for medicine.Journal of the American Medical Informatics Association, 31(9):1833–1843

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.254198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e623761f-780b-4f9e-80e3-4b537eeba549 · outbound

This paper cites Llama-3-meditron: An open-weight suite of medical llms based on llama-3.1.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Llama-3-meditron: An open-weight suite of medical llms based on llama-3.1

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.270955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4b0f4bf3-6625-4e17-86f8-15a88337fae5 · outbound

This paper cites Investigating data contamination in modern benchmarks for large language models.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Investigating data contamination in modern benchmarks for large language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.243259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ed3b90cf-9181-413f-9223-d66cc4ff22b8 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Measuring Massive Multitask Language Understanding

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-30T19:15:00.099504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4e52da36-ce78-4781-9221-9e9edc532987 · outbound

This paper cites Truthfulqa: Measuring how models mimic hu- man falsehoods.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Truthfulqa: Measuring how models mimic hu- man falsehoods

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.247577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 394bfe78-2d6c-454a-8451-bbf3f7e081c3 · outbound

This paper cites Hellaswag: Can a machine really finish your sentence? InProceedings of the 57th annual meeting of the association for computational linguistics, pages 4791–4800.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Hellaswag: Can a machine really finish your sentence? InProceedings of the 57th annual meeting of the association for computational linguistics, pages 4791–4800

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.245482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bcf3537a-b34e-4f78-8114-74880e4f4838 · outbound

This paper cites Winogrande: An adversarial Winograd schema challenge at scale.Communications of the ACM, 64(9):99–106.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Winogrande: An adversarial Winograd schema challenge at scale.Communications of the ACM, 64(9):99–106

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.251729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f69b91a8-6140-46f3-97f6-ad2cc8c17098 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Training Verifiers to Solve Math Word Problems

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-06-30T19:15:00.122967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fc19661a-6e3d-47c1-a7e3-a80c412fd33f · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.241109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1dde326d-6d37-4d28-a1c6-5a53453d7f5c · outbound

This paper cites Time Travel in LLMs: Tracing Data Contamination in Large Language Models.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Time Travel in LLMs: Tracing Data Contamination in Large Language Models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T19:15:00.142697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d4a352ca-ed67-4677-b5ad-237949ecc16f · outbound

This paper cites Apertus.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Apertus

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T19:15:00.134134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 89a427af-c7a1-48af-9d84-495fc1832e63 · outbound

This paper cites HealthBench: Evaluating Large Language Models Towards Improved Human Health.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs HealthBench: Evaluating Large Language Models Towards Improved Human Health

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-06-30T19:15:00.136976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c4b8ad3c-cf23-449f-bc6b-49136f84b409 · outbound

This paper cites Large language models in medicine.Nature medicine, 29(8):1930–1940.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Large language models in medicine.Nature medicine, 29(8):1930–1940

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.249583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation edc20bd3-6fa6-4f56-8021-afe43d4d7c13 · outbound

This paper cites Liveclin: A live clinical benchmark without leakage.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Liveclin: A live clinical benchmark without leakage

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:15:00.090446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dc57223c-6fca-43fa-b1d7-143c7c8fa9cf · outbound

This paper cites Xing, Hao Zhang, Joseph E.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Xing, Hao Zhang, Joseph E

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.256254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b2548d8d-78c0-4002-816d-f0e3029aaa71 · outbound

This paper cites Judging the judges: Evaluating alignment and vulnerabilities in LLMs- as-judges.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Judging the judges: Evaluating alignment and vulnerabilities in LLMs- as-judges

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.258303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 15a41791-0fc1-4d93-9921-454f0aa17ef2 · outbound

This paper cites Judge’s verdict: A comprehensive analysis of llm judge capability through human agreement.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Judge’s verdict: A comprehensive analysis of llm judge capability through human agreement

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:15:00.130835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ad4dda0e-e18d-4ce5-b79b-559f4a924bad · outbound

This paper cites What disease does this patient have? a large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs What disease does this patient have? a large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.306010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 61875753-88c3-4eb1-a794-d9fc5fcc4a04 · outbound

This paper cites Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.300032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation acebbd93-cf8f-4f5e-97e7-852791fb0426 · outbound

This paper cites Pubmedqa: A dataset for biomedical research question answering.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Pubmedqa: A dataset for biomedical research question answering

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.294816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f5a18265-352f-4745-9ca5-fe44c200b376 · outbound

This paper cites Medexpqa: Multilingual benchmarking of large language models for medical question answering.Artificial intelligence in medicine, 155:102938.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Medexpqa: Multilingual benchmarking of large language models for medical question answering.Artificial intelligence in medicine, 155:102938

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.296803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 61dfb91d-b18f-4825-a95c-122538f771cb · outbound

This paper cites Overview of the medical question answering task at trec 2017 liveqa.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Overview of the medical question answering task at trec 2017 liveqa

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.283074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7e1324bf-5f28-494b-9ffb-5e1ba0721362 · outbound

This paper cites Afrimed-qa: A pan-african, multi-specialty, medical question-answering benchmark dataset.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Afrimed-qa: A pan-african, multi-specialty, medical question-answering benchmark dataset

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:15:00.139864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4de6c7c8-11d8-4fd2-997a-dbcea98627f2 · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs gpt-oss-120b & gpt-oss-20b Model Card

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-06-30T19:15:00.145522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2543cde2-a4c8-4ce3-8dd5-f96745de7dd1 · outbound

This paper cites 2 OLMo 2 Furious.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs 2 OLMo 2 Furious

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-06-30T19:15:00.101440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 619dc1a3-4a89-44e5-9904-9e12b312c09a · outbound

This paper cites Eurollm-22b: Technical report.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Eurollm-22b: Technical report

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:15:00.115698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 27cf04ec-f23b-4633-8000-eeb4e5b545f0 · outbound

This paper cites Gemma 3 technical report.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Gemma 3 technical report

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.284878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9b11b7f1-9f4e-4a75-87f5-9cc4a8b923ac · outbound

This paper cites Qwen3 technical report.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Qwen3 technical report

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.286934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 59e7a0e2-c6b9-41cb-a6ec-1749cb4a4634 · outbound

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

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-06-30T19:15:00.117175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9b135668-dec2-44db-9891-45170522bce1 · outbound

This paper cites Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.Advances in Neural Information Processing Systems, 37:95266–95290.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.Advances in Neural Information Processing Systems, 37:95266–95290

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.288845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 31e8973e-bc3f-4830-b580-f6a44c855c9b · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Instruction-Following Evaluation for Large Language Models

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-06-30T19:15:00.122060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fa34170c-4c4a-4ccc-a340-4ae8c4ede516 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-06-30T19:15:00.133088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cd46185e-689c-4947-a1d9-b71d5945e64b · outbound

This paper cites Medical foundation large language models for comprehensive text analysis and beyond.npj Digital Medicine, 8:141.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Medical foundation large language models for comprehensive text analysis and beyond.npj Digital Medicine, 8:141

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.292873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e744ab56-d01f-41e3-a829-e4b57e461478 · outbound

This paper cites Tulu 3: Pushing frontiers in open language model post-training.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Tulu 3: Pushing frontiers in open language model post-training

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.290928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2ae3dda0-4dd6-4680-b961-446679dc6494 · outbound

This paper cites The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:15:00.112720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ca9045b7-40b1-49e9-acbb-7b1cd2f8c11f · outbound

This paper cites It is fast, widely available, and provides detailed anatomical information about solid organs, vasculature, retroperitoneum, and bony structures.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs It is fast, widely available, and provides detailed anatomical information about solid organs, vasculature, retroperitoneum, and bony structures

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.272935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d67a6da9-4d0b-47e2-ae8f-68500e8fb74f · outbound

This paper cites The protocol should be streamlined and focused.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs The protocol should be streamlined and focused

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.274738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 127388a9-99ff-4b2c-b94f-5d66649e580e · outbound

This paper cites *Splenic Injury:The spleen is the most commonly injured solid organ in blunt abdominal trauma.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs *Splenic Injury:The spleen is the most commonly injured solid organ in blunt abdominal trauma

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.280986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 01471cea-a7fd-48f6-860d-8ae92fe9463f · outbound

This paper cites The patient’s GCS of 15 allows for a quick, whole-body CT scan.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs The patient’s GCS of 15 allows for a quick, whole-body CT scan

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T01:04:25.267192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c9d256e5-b8ed-42dc-abce-2fd2860b3602 · outbound

This paper cites Model 1” and “Model 2.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs Model 1” and “Model 2

Reference 51

Resolution: malformed identifier; arxiv_id, observed 2026-06-30T19:15:00.109875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers