Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-28T14:38:40.017263Z
Paper Citation Record · LEDGER
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models
As of 8 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 1 inbound Pith citation observation for arXiv:2606.01961.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-14T06:30:16.612345Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
80 of 80 outbound references displayed
- verified exact31
- verified fuzzy0
- unresolved35
- parse uncertain0
- malformed identifier1
- metadata mismatch13
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 916ad50a-591d-46ad-a0b8-aa8f0c293545 · outbound
This paper cites AAPM low-dose CT grand challenge (LDCT-SimNICT).https://www.aapm.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models AAPM low-dose CT grand challenge (LDCT-SimNICT).https://www.aapm
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20847565-e594-49a4-aabe-a05fffa844f7 · outbound
This paper cites Claude Opus 4.6 system card.https://www-cdn.anthropic.com/ 14e4fb01875d2a69f646fa5e574dea2b1c0ff7b5.pdf, February 2026.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Claude Opus 4.6 system card.https://www-cdn.anthropic.com/ 14e4fb01875d2a69f646fa5e574dea2b1c0ff7b5.pdf, February 2026
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b9bf7c7-03a7-4b4a-9239-31771f03a560 · outbound
This paper cites Lawrence Zitnick, and Devi Parikh.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Lawrence Zitnick, and Devi Parikh
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d30e4737-c523-4b59-9660-980866c81c84 · outbound
This paper cites HealthBench: Evaluating Large Language Models Towards Improved Human Health.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models HealthBench: Evaluating Large Language Models Towards Improved Human Health
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T23:06:21.112444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation eb6849ab-a01a-4a43-9944-c909bae1c906 · outbound
This paper cites METEOR: An automatic metric for MT evaluation with improved correlation with human judgments.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models METEOR: An automatic metric for MT evaluation with improved correlation with human judgments
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09695644-9950-4a37-a589-a75502a21ca0 · outbound
This paper cites MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T23:06:21.116582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a2414a59-e6ae-4ca8-8ef6-58b7e0e1479c · outbound
This paper cites autonomy.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models autonomy
Reference 7
- Resolution
- metadata mismatch
- doi, observed 2026-06-28T14:42:17.751463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cae89cbf-3895-4f36-925e-5a9d1b2734de · outbound
This paper cites HealthAdminBench: Evaluating Computer-Use Agents on Healthcare Administration Tasks.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models HealthAdminBench: Evaluating Computer-Use Agents on Healthcare Administration Tasks
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T23:06:21.087558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5c715ff7-8de7-4752-a93c-3885b397c829 · outbound
This paper cites PANTHER challenge: Public training dataset, 2025.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models PANTHER challenge: Public training dataset, 2025
Reference 9
- Resolution
- malformed identifier
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33ebc104-0da3-4908-9ce3-9a374e924c4a · outbound
This paper cites PanTS: Pancreatic tumor segmentation.https://huggingface.co/ datasets/BodyMaps/PanTSMini, 2024.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models PanTS: Pancreatic tumor segmentation.https://huggingface.co/ datasets/BodyMaps/PanTSMini, 2024
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 263ca44b-e83b-4018-970d-2b36f5261bef · outbound
This paper cites End-to-end object detection with transformers.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models End-to-end object detection with transformers
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fe69d4c-de91-49ea-96f7-fd0fa47fc359 · outbound
This paper cites CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T23:06:21.101309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d6843f89-c972-4670-aba2-0cf7307ec310 · outbound
This paper cites MLE-bench: Evaluating machine learning agents on machine learning engineering,.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models MLE-bench: Evaluating machine learning agents on machine learning engineering,
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac48592d-2c15-40fc-9674-b48ffeda9bf4 · outbound
This paper cites MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T23:06:21.108710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 27f64636-a80c-4a41-be60-a781e87ae554 · outbound
This paper cites IEEE Transactions on Medi- cal Imaging36(8), 1597–1606 (Aug 2017).https://doi.org/10.1109/TMI.2017.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models IEEE Transactions on Medi- cal Imaging36(8), 1597–1606 (Aug 2017).https://doi.org/10.1109/TMI.2017
Reference 15
- Resolution
- metadata mismatch
- doi, observed 2026-06-28T14:42:17.787534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e1cef2d1-9781-48ea-a470-589e4d49cdd0 · outbound
This paper cites Generating radiology reports via memory-driven transformer.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Generating radiology reports via memory-driven transformer
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0992bc6f-2349-485d-a05b-6de26f522c41 · outbound
This paper cites Demner-Fushman, M.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Demner-Fushman, M
Reference 17
- Resolution
- verified exact
- doi, observed 2026-06-28T14:42:17.771872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation eae58070-a2cd-4bb4-bdf0-6979eb0d2301 · outbound
This paper cites Measures of the Amount of Ecologic Association Between Species.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Measures of the Amount of Ecologic Association Between Species
Reference 18
- Resolution
- verified exact
- doi, observed 2026-06-28T14:42:17.781892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation af1e7e51-984e-4589-bead-e10f5d7fba14 · outbound
This paper cites Available: https://doi.org/10.1007/s11263-009-0275-4.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Available: https://doi.org/10.1007/s11263-009-0275-4
Reference 19
- Resolution
- verified exact
- doi, observed 2026-06-28T14:42:17.785816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4817b442-f21e-4837-aef3-ff6c2fb4512a · outbound
This paper cites FeTA challenge: Fetal brain tissue annotation and segmentation.https: //fetachallenge.github.io/, 2021.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models FeTA challenge: Fetal brain tissue annotation and segmentation.https: //fetachallenge.github.io/, 2021
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14d13a2c-375e-404e-a19f-0c3ccd88cd3e · outbound
This paper cites Camyla: Scaling Autonomous Research in Medical Image Segmentation.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Camyla: Scaling Autonomous Research in Medical Image Segmentation
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T23:06:21.140386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 09688aa8-68e0-45d8-ae06-6fc596454ba8 · outbound
This paper cites GLM-5: from Vibe Coding to Agentic Engineering.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models GLM-5: from Vibe Coding to Agentic Engineering
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T23:06:21.148476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a7825ae4-d91b-4005-a7ce-8bd4147c4765 · outbound
This paper cites Gemini 3.1 Pro model card.https://deepmind.google/ models/model-cards/gemini-3-1-pro/, February 2026.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Gemini 3.1 Pro model card.https://deepmind.google/ models/model-cards/gemini-3-1-pro/, February 2026
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bc04c3f-71e9-42bc-af5a-c36a51a954b2 · outbound
This paper cites DENTEX: Dental enumeration and diagnosis on panoramic x-rays.https://huggingface.co/datasets/ibrahimhamamci/DENTEX, 2023.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models DENTEX: Dental enumeration and diagnosis on panoramic x-rays.https://huggingface.co/datasets/ibrahimhamamci/DENTEX, 2023
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa211428-2eeb-4057-8a99-65e59c854822 · outbound
This paper cites PathVQA: 30000+ Questions for Medical Visual Question Answering.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models PathVQA: 30000+ Questions for Medical Visual Question Answering
Reference 25
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T23:06:21.157019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 686951db-7913-4476-9e5b-5d9c5e4320ba · outbound
This paper cites KiTS19: Kidney tumor segmentation challenge.https://kits19.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models KiTS19: Kidney tumor segmentation challenge.https://kits19
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d0573de-4d3e-48f0-8133-5888ffc15a49 · outbound
This paper cites HealthBench Professional: Evaluating Large Language Models on Real Clinician Chats.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models HealthBench Professional: Evaluating Large Language Models on Real Clinician Chats
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T23:06:21.128547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8e28c5cc-fafb-4984-abe5-13cad87dd011 · outbound
This paper cites MLAgentBench: Evaluating lan- guage agents on machine learning experimentation.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models MLAgentBench: Evaluating lan- guage agents on machine learning experimentation
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f7f84d9-bf11-4090-9d38-d38adb202923 · outbound
This paper cites nnU-Net: A Self-Configuring Method for Deep Learning-Based Biomedical Image Segmentation.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models nnU-Net: A Self-Configuring Method for Deep Learning-Based Biomedical Image Segmentation
Reference 29
- Resolution
- verified exact
- doi, observed 2026-06-28T14:42:17.775042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4a8cf1d6-b39c-4c2f-99a7-3f947a85aa50 · outbound
This paper cites Q., Nguyen Duong , D., Bui, T., Chambon, P., Lungren, M., Ng, A., Langlotz, C., and Rajpurkar, P.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Q., Nguyen Duong , D., Bui, T., Chambon, P., Lungren, M., Ng, A., Langlotz, C., and Rajpurkar, P
Reference 30
- Resolution
- metadata mismatch
- doi, observed 2026-06-28T14:42:17.759009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4f0dfe32-d5f1-4b67-b079-8ce63aaa6fc0 · outbound
This paper cites Peter Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Oyvind Tafjord, and Peter Clark.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Peter Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Oyvind Tafjord, and Peter Clark
Reference 31
- Resolution
- metadata mismatch
- doi, observed 2026-06-28T14:42:17.759497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5bb0b44e-83f6-4333-80b3-5cdc13f30f2c · outbound
This paper cites MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T23:06:21.084048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation dc4ee18a-8f2e-4710-858c-23fe92c505c5 · outbound
This paper cites Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd9518b7-5c28-4fe0-9942-fe06e9d3a0a6 · 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.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models What disease does this patient have? A large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421
Reference 34
- Resolution
- verified exact
- doi, observed 2026-06-28T14:42:17.757611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation debc29f6-f8ab-4e62-a39e-55f42b366d8f · outbound
This paper cites PubMedQA: A Dataset for Biomedical Research Question Answering.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models PubMedQA: A Dataset for Biomedical Research Question Answering
Reference 35
- Resolution
- verified exact
- doi, observed 2026-06-28T14:42:17.794977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d295afe1-aa5b-4b02-af5b-5d49c0ec636a · outbound
This paper cites Johnson et al.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Johnson et al
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14516445-2559-4eee-b310-f9d479f3e7e2 · outbound
This paper cites BCCD: Blood cell count and detection dataset.https://huggingface.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models BCCD: Blood cell count and detection dataset.https://huggingface
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95b142f1-7c7c-47b7-81d4-bfeedf8b185c · outbound
This paper cites URLhttps://www.nature.com/articles/sdata2018251.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models URLhttps://www.nature.com/articles/sdata2018251
Reference 38
- Resolution
- metadata mismatch
- doi, observed 2026-06-28T14:42:17.779613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 96c5dbe3-c811-4997-bc51-0a4153af0235 · outbound
This paper cites Fhir-agentbench: Benchmarking llm agents for realistic interoperable ehr question answering.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Fhir-agentbench: Benchmarking llm agents for realistic interoperable ehr question answering
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T23:06:21.165966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0678e7a6-5cc3-4662-9312-efb1cc2f8ee7 · outbound
This paper cites Agen- tehr: Advancing autonomous clinical decision-making via retrospective summarization.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Agen- tehr: Advancing autonomous clinical decision-making via retrospective summarization
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T23:06:21.161668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation fa3c2fa9-f376-443e-a6dc-d47b38dd8d10 · outbound
This paper cites ROUGE: A package for automatic evaluation of summaries.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models ROUGE: A package for automatic evaluation of summaries
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcc2cf39-8f1b-4ae4-9276-7523e367290f · outbound
This paper cites Artificial Intelligence in Medicine143, 102611 (2023).
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Artificial Intelligence in Medicine143, 102611 (2023)
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T14:42:17.770721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0655a30a-a525-403a-9c3b-e189e3648aa1 · outbound
This paper cites van der Laak, Bram van Ginneken, and Clara I.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models van der Laak, Bram van Ginneken, and Clara I
Reference 43
- Resolution
- verified exact
- doi, observed 2026-06-28T14:42:17.777323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 048f4a82-b5da-444b-bad5-e7c41842c503 · outbound
This paper cites SLAKE: A semantically-labeled knowledge-enhanced dataset for medical visual question answering.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models SLAKE: A semantically-labeled knowledge-enhanced dataset for medical visual question answering
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e17750a0-ac70-4e49-ad05-c689ee71065a · outbound
This paper cites URL https://arxiv.org/abs/2102.09542.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models URL https://arxiv.org/abs/2102.09542
Reference 45
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T14:42:17.777443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a5c2a0a7-81d2-4edc-81a4-6ab1bcb48d34 · outbound
This paper cites PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T23:06:21.132384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation af86cd11-889c-4d79-9bb2-e5dd51d07dd3 · outbound
This paper cites Agentbench: Evaluating LLMs as agents.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Agentbench: Evaluating LLMs as agents
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa30672c-3eca-4589-9219-8bd1f94a5804 · outbound
This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T23:06:21.090745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6de4b676-0d25-434b-804d-9b7c2be9a0eb · outbound
This paper cites AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
Reference 49
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T23:06:21.094083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2221835f-028b-49fb-aa83-7f9ddd932217 · outbound
This paper cites Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 50
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T23:06:21.097857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c420184c-a22a-4de6-8317-a90931d0e54e · outbound
This paper cites GAIA: a benchmark for general AI assistants.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models GAIA: a benchmark for general AI assistants
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ad15700-7806-4109-8db1-04cbc3e90238 · outbound
This paper cites The MiniMax-M2 series: Mini activations unleashing max real-world intelligence,.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models The MiniMax-M2 series: Mini activations unleashing max real-world intelligence,
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6de01c2b-910e-475c-8523-985dab72257b · outbound
This paper cites The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T23:06:21.105338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4e579121-6056-48b5-a863-c1081be727e7 · outbound
This paper cites GRAZPEDWRI-DX: A pediatric wrist radiograph dataset.https:// figshare.com/articles/dataset/GRAZPEDWRI-DX/14825193, 2022.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models GRAZPEDWRI-DX: A pediatric wrist radiograph dataset.https:// figshare.com/articles/dataset/GRAZPEDWRI-DX/14825193, 2022
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T23:06:21.124512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d00ab522-7069-4605-b6c4-1e72fcec9d72 · outbound
This paper cites MLGym: A new framework and benchmark for advancing AI research agents.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models MLGym: A new framework and benchmark for advancing AI research agents
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f446f5a-7692-4f06-a8c7-b7233d2fe062 · outbound
This paper cites Nguyen et al.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Nguyen et al
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1190a0f-7bf4-4208-86aa-9906fa448477 · outbound
This paper cites GPT-5.4 Thinking system card.https://deploymentsafety.openai.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models GPT-5.4 Thinking system card.https://deploymentsafety.openai
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8614ddf-d82d-4c75-b192-4cd842a43129 · outbound
This paper cites MedMCQA: A large- scale multi-subject multi-choice dataset for medical domain question answering.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models MedMCQA: A large- scale multi-subject multi-choice dataset for medical domain question answering
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9d6593a-a47c-42da-9395-21615de50368 · outbound
This paper cites doi:10.3115/1073083.1073135 , editor =.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models doi:10.3115/1073083.1073135 , editor =
Reference 59
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T14:42:17.787208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2493b696-f497-44cb-920a-088e51287699 · outbound
This paper cites Qwen3.5: Towards native multimodal agents.https://qwen.ai/blog? id=qwen3.5, February 2026.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Qwen3.5: Towards native multimodal agents.https://qwen.ai/blog? id=qwen3.5, February 2026
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10655f46-a0a7-4dd6-b681-2021c5ed712d · outbound
This paper cites AeroPath: Airway segmentation dataset.https://github.com/ raidionics/AeroPath, 2023.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models AeroPath: Airway segmentation dataset.https://github.com/ raidionics/AeroPath, 2023
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44d77347-b30d-4b3c-99c9-a2c40e0e1ecc · outbound
This paper cites 2016, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 779–788, doi: 10.1109/CVPR.2016.91.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models 2016, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 779–788, doi: 10.1109/CVPR.2016.91
Reference 62
- Resolution
- metadata mismatch
- doi, observed 2026-06-28T14:42:17.792926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2f6e6479-e96c-4d59-a6e9-9353d5a8ba7e · outbound
This paper cites Faster R-CNN: Towards real-time object detection with region proposal networks.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Faster R-CNN: Towards real-time object detection with region proposal networks
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 502e2985-f5d7-4ed1-b2d0-e4300536f05d · outbound
This paper cites U-Net: Convolutional networks for biomedical image segmentation.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models U-Net: Convolutional networks for biomedical image segmentation
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d584db4-dd51-498c-8ad2-204d81e17450 · outbound
This paper cites AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments
Reference 65
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T23:06:21.136145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation adffbb9c-e4c7-4770-8d2d-637f9b4d5274 · outbound
This paper cites Ehragent: Code empowers large language models for few-shot complex tabular reasoning on electronic health records.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Ehragent: Code empowers large language models for few-shot complex tabular reasoning on electronic health records
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba478fe3-80d4-4c2f-98f5-56617b76c36b · outbound
This paper cites Siegel, Sayash Kapoor, Nitya Nadgir, Benedikt Stroebl, and Arvind Narayanan.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Siegel, Sayash Kapoor, Nitya Nadgir, Benedikt Stroebl, and Arvind Narayanan
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63f1eba0-6a5d-4c9d-9af3-1a65f843f1bb · outbound
This paper cites Large Language Models Encode Clinical Knowledge.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Large Language Models Encode Clinical Knowledge
Reference 68
- Resolution
- verified exact
- doi, observed 2026-06-28T14:42:17.789287Z
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 7c25706f-4bc9-4912-bb3c-7f3ddaf77de6 · outbound
This paper cites PaperBench: Evaluating AI’s ability to replicate AI research,.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models PaperBench: Evaluating AI’s ability to replicate AI research,
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0cdbdbb-f07d-48ae-b274-11c0b1372d11 · outbound
This paper cites PaperBench: Evaluating AI's Ability to Replicate AI Research.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models PaperBench: Evaluating AI's Ability to Replicate AI Research
Reference 70
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T23:06:21.152849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4b232d4e-ed5c-43c4-bdb2-0c6aabe24215 · outbound
This paper cites PathAsst: A Generative Foundation AI Assistant Towards Artificial General Intelligence of Pathology.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models PathAsst: A Generative Foundation AI Assistant Towards Artificial General Intelligence of Pathology
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T23:06:21.179269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f30b508f-5116-4990-a5a4-44b5e17c7b49 · outbound
This paper cites MedXpertQA-MM: Multimodal expert medical question answering.https: //huggingface.co/datasets/TsinghuaC3I/MedXpertQA, 2024.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models MedXpertQA-MM: Multimodal expert medical question answering.https: //huggingface.co/datasets/TsinghuaC3I/MedXpertQA, 2024
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aef18d50-9cf6-4af0-bfb7-ffefed375d28 · outbound
This paper cites Bovik, Hamid R.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Bovik, Hamid R
Reference 73
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T14:42:17.774755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7e723958-2c50-42dc-97fa-2370b1ae0c16 · outbound
This paper cites TotalSegmentator: Robust segmentation of 104 anatomical structures in CT.https://github.com/wasserth/TotalSegmentator, 2023.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models TotalSegmentator: Robust segmentation of 104 anatomical structures in CT.https://github.com/wasserth/TotalSegmentator, 2023
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d25a1708-869f-4877-94de-43d5f06fc7b7 · outbound
This paper cites OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Reference 75
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T23:06:21.120068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation fe0aff11-89f6-4512-8fc3-45181eb90bef · outbound
This paper cites Medmnist v2 - a large-scale lightweight benchmark for 2d and 3d biomedical image classification.Scientific Data, 10(1), January 2023.doi:10.1038/s41597-022-01721-8.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Medmnist v2 - a large-scale lightweight benchmark for 2d and 3d biomedical image classification.Scientific Data, 10(1), January 2023.doi:10.1038/s41597-022-01721-8
Reference 76
- Resolution
- verified exact
- doi, observed 2026-06-28T14:42:17.791073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e4d8356c-9d47-449f-9de3-f7a8412bd025 · outbound
This paper cites AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?
Reference 77
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T23:06:21.144889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation eb3e034f-7e32-4625-a8f4-680917d30ebc · outbound
This paper cites Medframeqa: A multi-image medical vqa benchmark for clinical reasoning.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Medframeqa: A multi-image medical vqa benchmark for clinical reasoning
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T23:06:21.169959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 62ecbb48-0675-42cc-8146-fbbea6d31200 · outbound
This paper cites fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
Reference 79
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T23:06:21.173834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c5f3758a-fe32-4f43-b745-a231f9d1e3d3 · outbound
This paper cites open-source.
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models open-source
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T14:38:40.017263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation c9a37d92-a99c-4543-987f-6a83fcddc3fe · inbound
The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy cites this paper.
The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy AutoMedBench: Towards Medical AutoResearch with Agentic AI Models
Reference 149
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T06:30:16.612345Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.