JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation | Paper Citation Record

Observation 84c81184-c7c7-4621-9022-7b363a0db0eb · outbound

This paper cites Agrawal, D.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Agrawal, D

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T09:04:45.958801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ea6e00b7-9a44-40c5-90df-f1c460a7a23e · outbound

This paper cites System card: Claude opus 4 & claude sonnet 4.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation System card: Claude opus 4 & claude sonnet 4

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T09:04:45.848614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2ee17405-f95c-4f32-91d6-81d6e17d607a · outbound

This paper cites Qwen3-VL Technical Report.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Qwen3-VL Technical Report

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:34:57.812291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 48a76e06-8e26-4493-b007-4f840c8c478b · outbound

This paper cites Ben Abacha, S.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Ben Abacha, S

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T09:04:45.852821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation af023560-2f00-47ef-bf86-5117e7029727 · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-07-08T09:04:45.904639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation aa3e3021-3981-4f97-943e-a8e868f702aa · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.857304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 044d5e87-1beb-4fbb-b04b-5efd3f9aa14f · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:34:57.829034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 712bae7e-58d5-49f8-990a-f949a14cf9b7 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:34:57.809869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bbc8c7fa-bade-4c74-a152-29661fce100d · outbound

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

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T17:34:57.093560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e91c6883-a4f6-40f1-9211-1b54746677ac · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:34:57.811262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a7627627-5efe-49bb-a1af-ba09301418e9 · outbound

This paper cites Gemma 4 model card, Apr.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Gemma 4 model card, Apr

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T09:04:45.844430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f3967118-6fb6-496e-8626-d26ea2c4711d · outbound

This paper cites Goyal, T.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Goyal, T

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T09:04:45.876952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 98440da0-29c0-4773-9888-346c87c16c71 · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.887855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 680068f1-928e-454f-bb85-153f6faf5f38 · outbound

This paper cites PathVQA: 30000+ Questions for Medical Visual Question Answering.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:34:57.808981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0bd8bdab-a1a8-491d-a915-2ae27d7ee3e2 · outbound

This paper cites GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:34:57.807322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a04b70f0-20f8-4450-a876-10f3cbfb600e · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.870459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 82646a06-6030-4566-960a-3baf2dd49f4b · outbound

This paper cites Jiang, J.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Jiang, J

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T09:04:45.961955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4367c7bd-494b-4086-b0eb-d830dab86bd3 · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.873817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d638d27c-fddc-45f3-bae1-2e308427a7d1 · outbound

This paper cites Jiang, Y.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Jiang, Y

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:34:57.801484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 00f98f21-91ee-4993-a9de-8a12950a541f · 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.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation What disease does this patient have? A large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421

Reference 20

Resolution: verified exact; doi, observed 2026-06-30T17:34:57.098613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9f7a2826-9149-4e59-98b4-4255d67cc774 · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.895278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c26ea7c1-38d7-459f-af32-4973dcfd0a5b · outbound

This paper cites PubMedQA: A Dataset for Biomedical Research Question Answering.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation PubMedQA: A Dataset for Biomedical Research Question Answering

Reference 22

Resolution: verified exact; doi, observed 2026-06-30T17:34:57.080003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b0598182-41c1-4412-bcca-1570ed953ea5 · outbound

This paper cites Kasai, Y.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Kasai, Y

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T09:04:45.891298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b9e81941-5c7f-4764-8de9-41a20569b35a · outbound

This paper cites Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models

Reference 24

Resolution: verified exact; doi, observed 2026-06-30T17:34:57.082756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d79dc8ce-d15c-4be5-8193-1c3fb2b67287 · outbound

This paper cites KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:34:57.794671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4cd4229a-e97c-4b35-9906-e1538aa1ac61 · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.841341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5d3ba8a5-2148-43dc-b5b2-e9fec7e92d11 · outbound

This paper cites Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:34:57.792072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8470d34a-2e25-474a-bd37-8dfb6a226474 · outbound

This paper cites URLhttps://www.nature.com/articles/sdata2018251.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation URLhttps://www.nature.com/articles/sdata2018251

Reference 28

Resolution: verified exact; doi, observed 2026-06-30T17:34:57.100748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b922229f-cf41-4b62-963f-e63ff5ea2542 · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.884664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ebaf36ee-48d1-46ae-8d2c-6398732701f8 · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.921406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 63fe5441-2ad3-4019-a24e-c6b17fd39a3d · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.912287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 95af66a9-9f51-449c-bb87-704ed1a648db · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 32

Resolution: verified exact; doi, observed 2026-06-30T17:34:57.086965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a65f75fc-9638-4aa5-8301-6dc3c235412c · outbound

This paper cites In: Bouamor, H., Pino, J., Bali, K.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation In: Bouamor, H., Pino, J., Bali, K

Reference 33

Resolution: verified exact; doi, observed 2026-06-30T17:34:57.077579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 294a83d6-3b84-4902-846e-ce65a6701687 · outbound

This paper cites URL https://arxiv.org/abs/2102.09542.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation URL https://arxiv.org/abs/2102.09542

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T17:34:57.096367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 33d8844d-ce55-4a9c-8d55-6844577f44f2 · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.898613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b1d5ece-d0d4-4906-b3b5-bccee82c7b86 · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 36

Resolution: malformed identifier; raw_fallback, observed 2026-07-08T09:04:45.859902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3ccb1684-5b22-4b09-8147-a1805ae8d452 · outbound

This paper cites doi: 10.1007/ 978-3-031-72658-3 13.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation doi: 10.1007/ 978-3-031-72658-3 13

Reference 37

Resolution: verified exact; doi, observed 2026-06-30T17:34:57.108375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7ab8aadb-5ab7-46d1-8dff-11f3b0996f52 · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.863704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 74e978f3-b881-4265-81d7-c2eed3ac6650 · outbound

This paper cites Matos, S.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Matos, S

Reference 39

Resolution: verified exact; doi, observed 2026-06-30T17:34:57.102814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d68919f9-056b-4bf4-8287-8625ee911982 · outbound

This paper cites The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation, Apr.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation, Apr

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T09:04:45.833476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1acdf64c-7329-4f47-b923-f2f4e6da0be2 · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.866947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 57ddd007-6ec3-46bb-a702-4e023e06ab87 · outbound

This paper cites Capabilities of GPT-4 on Medical Challenge Problems.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Capabilities of GPT-4 on Medical Challenge Problems

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:34:57.831649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5c0d7b28-21c0-462c-90e0-62e90e066fa7 · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.837446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7239d87e-4537-4b1c-ae80-b5f2727b7d43 · outbound

This paper cites OpenAI GPT-5 System Card.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation OpenAI GPT-5 System Card

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:34:57.823790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 75caa62c-75df-48c7-8aa1-4755b962f617 · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.924118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 41ad1881-fbee-4c25-85c6-3a27a4f4c158 · outbound

This paper cites Royer, B.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Royer, B

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T09:04:45.901557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5170881d-2e96-4694-a6e3-86ed3a709b8b · outbound

This paper cites MedGemma Technical Report.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation MedGemma Technical Report

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:34:57.826427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f7375b2b-b845-4dcb-93bd-c32c736f5f40 · outbound

This paper cites Large Language Models Encode Clinical Knowledge.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Large Language Models Encode Clinical Knowledge

Reference 48

Resolution: verified exact; doi, observed 2026-06-30T17:34:57.085072Z

Source-reported events for the cited work

correction dated 2023-07-27. Source: crossref record 10.1038/s41586-023-06455-0->10.1038/s41586-023-06291-2:correction, observed 2026-07-11T03:08:19.417011+00:00. This notice travels one citation hop only.

Observation 87208026-b61d-4b9d-9c82-fc5bbe289874 · outbound

This paper cites Singhal, T.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Singhal, T

Reference 49

Resolution: verified exact; doi, observed 2026-06-30T17:34:57.090377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e7b069b9-a425-472c-b6cb-e49e2e728815 · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 50

Resolution: verified exact; doi, observed 2026-06-30T17:34:57.088676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a783a934-fa70-41ac-b993-7bf3664586a7 · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.955759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c3f1658f-037b-461c-98c3-083748066b73 · outbound

This paper cites MinerU: An Open-Source Solution for Precise Document Content Extraction.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation MinerU: An Open-Source Solution for Precise Document Content Extraction

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:34:57.814739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 818201e0-393f-45d3-ab8e-92b025139ea8 · outbound

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

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:34:57.818144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e22727fe-b43f-4e6b-b4b4-6da5eddc07d6 · outbound

This paper cites Grok 4 model card.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Grok 4 model card

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T09:04:45.880885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c8d400ce-3d41-48f2-a324-655be6908bc7 · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.949398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b94cffb9-4886-449e-82b3-63cb9db06c9b · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.909456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d6b189e9-47d5-4069-a237-55d81c8f8f45 · outbound

This paper cites an unresolved cited work.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-07-08T09:04:45.915084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7d1a6c7a-7d9d-4b74-aec7-97e018281596 · outbound

This paper cites GLM-4.6V: Vision-language model.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation GLM-4.6V: Vision-language model

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T09:04:45.945724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ef85d9af-6e0f-4ab2-8be3-27730084892a · outbound

This paper cites PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:34:57.821086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 07822192-472c-4c47-a2bf-f27ac27e1b10 · outbound

This paper cites No.X (Y Problem Z).

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation No.X (Y Problem Z)

Reference 60

Resolution: malformed identifier; raw_fallback, observed 2026-07-08T09:04:45.952989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 45eb15b0-346a-4912-ab82-10eab4d12c87 · outbound

This paper cites Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T09:04:45.918487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers