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Paper Citation Record · LEDGER

What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 100 inbound Pith citation observations for arXiv:2009.13081.

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

pith.paper-citation-record.v1
2009.13081 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

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

measured 100 of 118 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:28:11.061879Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
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External citation measurements

62
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 42cb8399-1a77-432b-8acb-531c34fcf3f9 · inbound

Argumentative Large Language Models for Explainable and Contestable Claim Verification cites this paper.

Argumentative Large Language Models for Explainable and Contestable Claim Verification What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 28

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arxiv_id, observed 2026-05-24T01:18:42.164906Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-24T01:17:26.111194Z digest=sha256:f346463d6f38f0c7bcd8192afb5a5421eab61bb7c581bb1e3d3eb42476992913

Observation 769a3e9f-1eb9-40ac-b0da-6fd368d1bc35 · inbound

The Limited Impact of Medical Adaptation of Large Language and Vision-Language Models cites this paper.

The Limited Impact of Medical Adaptation of Large Language and Vision-Language Models What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:16:35.233438Z digest=sha256:1c808098fe86110d67a41e5b924bc1af22e8d474408da551244c7d0342a65836

Observation 06855ddf-ec89-4283-b024-6d8b02d5f232 · inbound

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs cites this paper.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 27

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no resolver link, observed 2026-08-12T18:51:31.792011Z

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source=arxiv_source observed=2026-08-12T18:51:31.792011Z digest=sha256:a263a2fb01634963a8f42e94a71e54dbe56c12f49d314178e1c97330684fdb73

Observation 40ba700b-be26-4624-9e62-0e4277fcc19e · inbound

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective cites this paper.

Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:18:55.781932Z digest=sha256:0a2fb0f1f58e9c87861d32a841c9162c3c55bad4b54b4c7601543cc121e12aaa

Observation 8e46a864-9c92-4e1f-922a-e122bfa4c0cf · inbound

AIDE: Attribute-Guided MultI-Hop Data Expansion for Data Scarcity in Task-Specific Fine-tuning cites this paper.

AIDE: Attribute-Guided MultI-Hop Data Expansion for Data Scarcity in Task-Specific Fine-tuning What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 12

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no resolver link, observed 2026-08-11T20:03:20.612151Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:03:20.612151Z digest=sha256:b79164dd33cc2af1d650c0ff563e6d078c3599ad659e4e04884b207edc06c77c

Observation ca530de8-ea36-4bc3-ae76-262873c563e6 · inbound

Generative AI in Medicine cites this paper.

Generative AI in Medicine What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 256

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no resolver link, observed 2026-08-11T16:00:18.743365Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:00:18.743365Z digest=sha256:376b78128a1f11ac1cefbffd508bbf0d1be6dc5681a0fc8b444a8fc29b5a387e

Observation 98e90be0-230a-4c3a-93f9-3b15bd1191dd · inbound

MedG-KRP: Medical Graph Knowledge Representation Probing cites this paper.

MedG-KRP: Medical Graph Knowledge Representation Probing What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 20

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:29:24.739497Z digest=sha256:e50a441112ad9bb9fbe66006964ce506de18427993082707fab13e75e00db92d

Observation 8d3d3d4c-6209-4533-a425-93e10106fbcd · inbound

MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes cites this paper.

MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:50:33.798895Z digest=sha256:341d754c744e37de659d4565449e07150ff7dd18511f99be9a29f68595e09f3d

Observation 15571009-fc40-49e2-b260-bef286dbf032 · inbound

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch cites this paper.

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 63

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no resolver link, observed 2026-08-10T20:54:02.188363Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:54:02.188363Z digest=sha256:d125d7e8644a93721e304d759c278c789e92a63956d2449ad0be6788157d5202

Observation 489f69d1-de8f-4bac-9668-97bfefa12715 · inbound

PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation cites this paper.

PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 33

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:13:08.550501Z digest=sha256:6f4ce501ec5360e3f28b95f21eb42ca80d3099433f1795eefb7e9c3122f80cdc

Observation 3fefbbf6-6932-4672-88b2-63f5606d29c9 · inbound

An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts cites this paper.

An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 69

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:14:06.713339Z digest=sha256:8d01886ec04dac4b0084e870a471fd0aaa0d041c27c30be702ad0825bbff37f7

Observation 91130f9b-8b08-4903-983c-323586669e15 · inbound

Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs cites this paper.

Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:52:38.141907Z digest=sha256:05eb28d52859be44a60c3e1a94750406b742cbeb0261f219d0a37b6a04331445

Observation e4ca75a1-e69f-4920-83cd-cc3799b70a29 · inbound

Using Large Language Models for education managements in Vietnamese with low resources cites this paper.

Using Large Language Models for education managements in Vietnamese with low resources What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 20

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no resolver link, observed 2026-08-10T14:44:27.072762Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:44:27.072762Z digest=sha256:098148a652586b974c808b0662f1fc89ca2f77e939bcb819a7477105a3558d05

Observation 9efffb71-ac46-48de-8645-07d24de9efe0 · inbound

CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering cites this paper.

CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 12

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no resolver link, observed 2026-08-09T23:31:22.582398Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:31:22.582398Z digest=sha256:027c68c528415fe0ff1ac06e6599322d1568d1a7299070f53b8885b2a18191ed

Observation ff0b0cc7-f982-4dc0-999b-8b60016070d5 · inbound

Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences cites this paper.

Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 20

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no resolver link, observed 2026-08-09T16:34:01.108285Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:34:01.108285Z digest=sha256:c074c537c2ac3de02d3ab345eb8c41915da32c9a07de54eee75627298404f7bd

Observation 5d08a686-870b-49d0-8346-787cd400db66 · inbound

OphthBench: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Ophthalmology cites this paper.

OphthBench: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Ophthalmology What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 30

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source=pdf_text observed=2026-08-09T16:10:24.790099Z digest=sha256:8c4bbef7e0c389d418c8cb5383d4ae2feba6071ff46b3ddcc9d05b438356a4e6

Observation e6642aac-a676-474a-8677-c6cb40ec2ae6 · inbound

MedBioLM: Optimizing Medical and Biological QA with Fine-Tuned Large Language Models and Retrieval-Augmented Generation cites this paper.

MedBioLM: Optimizing Medical and Biological QA with Fine-Tuned Large Language Models and Retrieval-Augmented Generation What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 6

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no resolver link, observed 2026-08-09T10:21:40.294692Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:21:40.294692Z digest=sha256:8046188365b0cc2c797c29ef47ac8cdf269408244e22c990375ea319ed7252db

Observation aed1cd00-8246-4d50-a4ee-2c9154f27401 · inbound

OntoTune: Ontology-Driven Self-training for Aligning Large Language Models cites this paper.

OntoTune: Ontology-Driven Self-training for Aligning Large Language Models What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 28

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no resolver link, observed 2026-08-08T19:12:42.296808Z

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source=pdf_text observed=2026-08-08T19:12:42.296808Z digest=sha256:9196ad6d94fa9126cf1bf1e6cfc1d33981baedb78091e3d1b71c58b887bd51d6

Observation 8e935abc-8196-4705-a420-85dbca0cfb18 · inbound

Automatic Evaluation of Healthcare LLMs Beyond Question-Answering cites this paper.

Automatic Evaluation of Healthcare LLMs Beyond Question-Answering What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 15

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no resolver link, observed 2026-08-08T14:46:29.589392Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:46:29.589392Z digest=sha256:212857dafc15f30f6f919919028e46702ed9845f0ecad86cf5c9bd35d698a812

Observation af464bab-df03-4fac-afa9-40f823a152fe · inbound

PRIMETIME : Limits of LLMs in Temporal Primitives cites this paper.

PRIMETIME : Limits of LLMs in Temporal Primitives What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 38

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verified exact
arxiv_id, observed 2026-05-22T18:36:59.187578Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-22T18:36:48.376877Z digest=sha256:1ac6bd97961ee217f243516fcb99114928a54697eafc1c0fefbf79446ffc9942

Observation 4eaf16e5-6cce-4550-b987-572c5adf0e95 · inbound

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization cites this paper.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 15

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source=arxiv_source observed=2026-08-16T10:28:11.061879Z digest=sha256:fabd3e4a370010f50e58ed29f6eeb82bbf219b9b58ec6d9b88e52e0ffb9c8a41

Observation 221dc280-397b-4fd0-b421-0568c7ef6ecf · inbound

Emotions in the Loop: A Survey of Affective Computing for Emotional Support cites this paper.

Emotions in the Loop: A Survey of Affective Computing for Emotional Support What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 48

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source=pdf_text observed=2026-08-16T04:20:17.091219Z digest=sha256:70c9995d800edd2f7562f3b078e20e237d41783489c8818b58b16c1cb033c583

Observation c6b94460-56f6-4384-a6d2-56b3286357ed · inbound

MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks cites this paper.

MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 27

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no resolver link, observed 2026-08-15T23:55:11.827553Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:55:11.827553Z digest=sha256:c17eae01805ac72650326f1ec7d764da7171fc65493679ab12c57a84ef1065ed

Observation 06369110-a06e-48da-afdc-425d8f5a93fb · inbound

The Aloe Family Recipe for Open and Specialized Healthcare LLMs cites this paper.

The Aloe Family Recipe for Open and Specialized Healthcare LLMs What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:36:29.905677Z digest=sha256:6c973042ebf0f771af90092a56ed5e2adeb00427863dbc4d9a2d44297047b089

Observation d0a98f25-b241-42d3-9ef6-b81f9441ebe5 · inbound

IP Leakage Attacks Targeting LLM-Based Multi-Agent Systems cites this paper.

IP Leakage Attacks Targeting LLM-Based Multi-Agent Systems What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 43

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source=pdf_text observed=2026-08-15T20:38:58.760949Z digest=sha256:ee3f98d88062c1a7daa45986673ad54a262218cbad8e82a2dff8a153c1961fc5

Observation 1b26d46c-aa96-47ae-9545-d607331138d4 · inbound

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use cites this paper.

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 24

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no resolver link, observed 2026-08-07T15:30:50.468413Z

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source=pdf_text observed=2026-08-07T15:30:50.468413Z digest=sha256:9902b202f391dd6b5025692f9efd3a9e72e5e002c84d464d05440fac8eebd319

Observation 696de114-efd0-418a-8396-15674786205a · inbound

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP cites this paper.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 21

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no resolver link, observed 2026-08-07T15:02:34.225397Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:02:34.225397Z digest=sha256:f6fe78252e982eb9a1868df51a51b9a14e07e4a23274cf726e0e185e1623f5ba

Observation d2de99bb-a799-45b1-8b6d-cb2ba4fbb707 · inbound

Synthetic Data RL: Task Definition Is All You Need cites this paper.

Synthetic Data RL: Task Definition Is All You Need What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 79

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no resolver link, observed 2026-08-15T20:43:43.681770Z

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source=pdf_text observed=2026-08-15T20:43:43.681770Z digest=sha256:094d56d7711b690bc197225b6cc0482965821dec4d568346df1158a15326bf65

Observation ce188c10-72c3-481a-b33a-5aca57e48667 · inbound

Towards Harmonized Uncertainty Estimation for Large Language Models cites this paper.

Towards Harmonized Uncertainty Estimation for Large Language Models What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 16

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no resolver link, observed 2026-08-07T14:25:22.391258Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:25:22.391258Z digest=sha256:390a1a6bd554fda958d60c1bdcfe4d3f6af76bfed64d7296d52d711661d172af

Observation 870b68bb-8bc8-493c-b87b-7fa620b1ea08 · inbound

SituatedThinker: Grounding LLM Reasoning with Real-World through Situated Thinking cites this paper.

SituatedThinker: Grounding LLM Reasoning with Real-World through Situated Thinking What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 16

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no resolver link, observed 2026-08-07T14:21:18.927856Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:21:18.927856Z digest=sha256:ad3c924b8df851563342b7b3ef8dc21aa1549ceded627af7012c0897aa12ef12

Observation 264f278f-a3fb-4f96-b0f7-53c40a8f1a7c · inbound

Second Opinion Matters: Towards Adaptive Clinical AI via the Consensus of Expert Model Ensemble cites this paper.

Second Opinion Matters: Towards Adaptive Clinical AI via the Consensus of Expert Model Ensemble What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 2020

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source=pdf_text observed=2026-08-07T12:57:59.116541Z digest=sha256:2fbf5f7fa855e5a3ae13c7964df8499f6e9b32389c891e6e55dc4769cef7444e

Observation f6d0eac4-e0cd-498c-bd2c-e20e8168f87f · inbound

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks cites this paper.

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 13

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source=pdf_text observed=2026-08-07T13:55:55.898652Z digest=sha256:e99f4647cd04a4130e528bad3e374b192ee61b09f2b6a2cac10beb7be4af189c

Observation 7181a258-ea6a-4c20-bbf8-aacec9d18513 · inbound

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning cites this paper.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 19

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no resolver link, observed 2026-08-07T12:40:08.110832Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:40:08.110832Z digest=sha256:c67b2dbf38d070577167ee07ef3c4ee22dbac0c097f665a83e83e15e21167f4b

Observation 11292c54-d12b-46cc-a6a2-f842c2fb2cc2 · inbound

Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs cites this paper.

Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 2

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no resolver link, observed 2026-08-07T12:44:13.493701Z

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source=pdf_text observed=2026-08-07T12:44:13.493701Z digest=sha256:300ec1e81dd9b6e948a8242f67cd9d36c328d964510f0949da28d10f6b08b284

Observation e596fe38-3d8e-4b14-8c9c-415db111cb44 · inbound

VM14K: First Vietnamese Medical Benchmark cites this paper.

VM14K: First Vietnamese Medical Benchmark What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 13

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source=pdf_text observed=2026-08-07T11:51:09.122543Z digest=sha256:2142303920ba6fe7d3a72e1d01a4bfed9506eb631b39c533ef43bf6b19ee4f52

Observation 3a4a5e86-3bf4-41c5-8a69-ffc6527d8224 · inbound

Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains cites this paper.

Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 19

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source=pdf_text observed=2026-08-07T11:33:30.920949Z digest=sha256:a8a168e3caca6db1559a2f85e51ced014888d707c8b3f4aacbd5c679d8ef3096

Observation bdab1e24-0d46-497a-8e7f-2a64d5a2ba3b · inbound

MedCite: Can Language Models Generate Verifiable Text for Medicine? cites this paper.

MedCite: Can Language Models Generate Verifiable Text for Medicine? What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 2023

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source=pdf_text observed=2026-08-07T05:58:08.883765Z digest=sha256:81b4b9b98d15ee3af5d9244209811aa9f71bf49be3097a63b5922eec278c7250

Observation 87a8b5ae-eb96-4c08-9469-491f0d59427c · inbound

How Benchmark Prediction from Fewer Data Misses the Mark cites this paper.

How Benchmark Prediction from Fewer Data Misses the Mark What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 28

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no resolver link, observed 2026-08-07T05:34:26.901004Z

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source=pdf_text observed=2026-08-07T05:34:26.901004Z digest=sha256:095ef405919621ecbf5a93b526af4dd8fb38f83f79798ec8c90e009f96a22f04

Observation 9331a71d-4cbc-47f5-92dc-5a9419eb03d0 · inbound

BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP cites this paper.

BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 24

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no resolver link, observed 2026-08-07T04:21:42.051061Z

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source=arxiv_source observed=2026-08-07T04:21:42.051061Z digest=sha256:6289984cd20f22edb04f294e788518c7be36de90d553e68a94303c54c740e901

Observation 412fc1b9-2293-46ee-9947-367ed30b5131 · inbound

Training-free LLM Merging for Multi-task Learning cites this paper.

Training-free LLM Merging for Multi-task Learning What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 17

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no resolver link, observed 2026-08-07T00:59:42.750007Z

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source=arxiv_source observed=2026-08-07T00:59:42.750007Z digest=sha256:1cb52a60dbe67939b28c11c194b9c47aaf90677be59b99aca7dce358fe0f336e

Observation 2d50ae0d-a095-4ce6-b554-2936ebea80e4 · inbound

Essential-Web v1.0: 24T tokens of organized web data cites this paper.

Essential-Web v1.0: 24T tokens of organized web data What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 28

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no resolver link, observed 2026-08-07T00:24:44.840277Z

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source=arxiv_source observed=2026-08-07T00:24:44.840277Z digest=sha256:5a46910955f03f4458242ada9b4dbae6ecce4794f24ccdc8a6e08e57005f4a98

Observation 99398c58-fd04-4ee2-ae43-53757bceb76d · inbound

The MedPerturb Dataset: What Non-Content Perturbations Reveal About Human and Clinical LLM Decision Making cites this paper.

The MedPerturb Dataset: What Non-Content Perturbations Reveal About Human and Clinical LLM Decision Making What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 60

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no resolver link, observed 2026-08-15T19:15:21.908939Z

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source=pdf_text observed=2026-08-15T19:15:21.908939Z digest=sha256:3ab6c9a766ea8a18216b60e852a33a577681a19e63d06965421da3400b012fa8

Observation 3f8367e1-0704-45d6-b919-379ae5367d5c · inbound

A Comprehensive Graph Framework for Question Answering with Mode-Seeking Preference Alignment cites this paper.

A Comprehensive Graph Framework for Question Answering with Mode-Seeking Preference Alignment What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 19

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no resolver link, observed 2026-08-06T23:28:43.456390Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:28:43.456390Z digest=sha256:ddbe2ccdb11d066621bec5ca3957da28e078eeb7532e00478c749e5f132474d3

Observation e001f0a2-6657-4b44-9644-af6dd0bb02b2 · inbound

MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration cites this paper.

MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 17

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no resolver link, observed 2026-08-15T18:31:37.281363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:31:37.281363Z digest=sha256:7452b2ef8ee4534f682a19ec4570a0610ea20d89c008b1fa8f71f19115bf7aa8

Observation 95a207cb-5792-4b9d-897f-3cfd1bc98123 · inbound

Enterprise Large Language Model Evaluation Benchmark cites this paper.

Enterprise Large Language Model Evaluation Benchmark What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 7

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no resolver link, observed 2026-08-06T22:56:31.178017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:56:31.178017Z digest=sha256:a0055c11d6558d2a43cbddcf8bf4a7d0b0857e204160b9c510cf712ae978fc7a

Observation 6f65453d-6c5f-4325-88c5-f393af758795 · inbound

Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching cites this paper.

Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 13

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no resolver link, observed 2026-08-06T20:01:45.385242Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:01:45.385242Z digest=sha256:91eb54e5dc9acd1d324464b34d778b3de37238930b364b711102f2b3c7f0657f

Observation 8c4aa8a8-8ab3-47c2-9ff8-51943695fa21 · inbound

Automating Expert-Level Medical Reasoning Evaluation of Large Language Models cites this paper.

Automating Expert-Level Medical Reasoning Evaluation of Large Language Models What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 47

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no resolver link, observed 2026-08-06T18:31:00.962024Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:31:00.962024Z digest=sha256:2b01df335626578ee33d001736277caae1e0413638ba20d6886a49fe91834286

Observation dd4e9f73-59d1-4c39-babb-eb0510b14c1d · inbound

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models cites this paper.

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 120

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no resolver link, observed 2026-08-06T16:42:29.947959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:42:29.947959Z digest=sha256:0dfd0f68f3748297b29dfbf8496bd6ac5920cec708fc1d4bb4bfafccce67cc9e

Observation d8c35cad-0cd8-4378-9ce3-dd0d82383e72 · inbound

BEnchmarking LLMs for Ophthalmology (BELO) for Ophthalmological Knowledge and Reasoning cites this paper.

BEnchmarking LLMs for Ophthalmology (BELO) for Ophthalmological Knowledge and Reasoning What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 25

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no resolver link, observed 2026-08-06T15:28:47.108780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:47.108780Z digest=sha256:5c42ebdf5b2b56fffbbba7fdf99b24ea3789f45b35e43300e6eaefbffb91ec65

Observation 02a3889b-4302-4928-a701-79ab504aac3c · inbound

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models cites this paper.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 17

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no resolver link, observed 2026-08-15T18:20:44.383247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:20:44.383247Z digest=sha256:bb0b6e7faa7ed26ee85e27af368c9440fc44fe18b7645390a4bf8bac89e1a009

Observation dd1439e8-1fe3-49d1-afe8-1dc165a7f043 · inbound

Embeddings to Diagnosis: Latent Fragility under Agentic Perturbations in Clinical LLMs cites this paper.

Embeddings to Diagnosis: Latent Fragility under Agentic Perturbations in Clinical LLMs What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 6

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no resolver link, observed 2026-08-15T17:50:55.676105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:50:55.676105Z digest=sha256:72872c00d949f89c74e7cda3d02e4b95d9010705b0742886205995055cb5601f

Observation a1158828-0942-4817-ac5c-a572965dd29e · inbound

Med-R$^3$: Enhancing Medical Retrieval-Augmented Reasoning of LLMs via Progressive Reinforcement Learning cites this paper.

Med-R$^3$: Enhancing Medical Retrieval-Augmented Reasoning of LLMs via Progressive Reinforcement Learning What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 28

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no resolver link, observed 2026-08-06T10:44:26.937795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:44:26.937795Z digest=sha256:1acdb5ac4c287100e5f90a477d2123e61602134ebb31dcf21749566f4a1daa33

Observation 59e24d9d-f886-48f2-a65f-8baf42580095 · inbound

MORE-CLEAR: Multimodal Offline Reinforcement learning for Clinical notes Leveraged Enhanced State Representation cites this paper.

MORE-CLEAR: Multimodal Offline Reinforcement learning for Clinical notes Leveraged Enhanced State Representation What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 16

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no resolver link, observed 2026-08-05T22:01:41.839655Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T22:01:41.839655Z digest=sha256:9ce9fc793228d4e462fa452598c6da6fabed70fa7ef5995aab4854bfb993213f

Observation 6ab6d154-303b-4029-a918-8dd37ab8ee0f · inbound

Capabilities of GPT-5 on Multimodal Medical Reasoning cites this paper.

Capabilities of GPT-5 on Multimodal Medical Reasoning What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 24

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no resolver link, observed 2026-08-05T21:38:47.687961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:38:47.687961Z digest=sha256:8de629dda9fcb4323ddf04484f320d0e9bbecd350a9441123b004dc15883c9ef

Observation 0338bae2-1de3-4c39-bd0a-00e7cd4d9793 · inbound

RTTC: Reward-Guided Collaborative Test-Time Compute cites this paper.

RTTC: Reward-Guided Collaborative Test-Time Compute What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 22

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no resolver link, observed 2026-08-05T23:10:44.144923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:10:44.144923Z digest=sha256:f62b85d40e8afb67e97660380d675133e27b5134e47ad95f6a67f822110560ae

Observation 4e5d6ae2-3322-4e2b-8ce7-02aab413e552 · inbound

HeteroRAG: A Heterogeneous Retrieval-Augmented Generation Framework for Medical Vision Language Tasks cites this paper.

HeteroRAG: A Heterogeneous Retrieval-Augmented Generation Framework for Medical Vision Language Tasks What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 3

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metadata mismatch
arxiv_id, observed 2026-05-18T22:51:53.193926Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-18T22:50:43.462038Z digest=sha256:91be3f95c6d5232eed20a2ca821dc29cb438e5de4aec4adf9205e0f1fd434d08

Observation 6d758c56-d0d0-4bd2-af55-deee694141f5 · inbound

MATRIX: Multi-Agent simulaTion fRamework for safe Interactions and conteXtual clinical conversational evaluation cites this paper.

MATRIX: Multi-Agent simulaTion fRamework for safe Interactions and conteXtual clinical conversational evaluation What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 22

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no resolver link, observed 2026-08-05T15:59:44.304525Z

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source=pdf_text observed=2026-08-05T15:59:44.304525Z digest=sha256:bf88d6537c9d956cbb531cdb74cc82b2453c0f81d2a60b6660eaab092953b267

Observation f712e705-577a-43c8-b0b0-35f8f45dd1e3 · inbound

DentalBench: Benchmarking and Advancing LLMs Capability for Bilingual Dentistry Understanding cites this paper.

DentalBench: Benchmarking and Advancing LLMs Capability for Bilingual Dentistry Understanding What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 7

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no resolver link, observed 2026-08-05T15:09:48.797835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:09:48.797835Z digest=sha256:f10067b11047d7a7df3faaeae2cb1aa50964857f8514b3d41d56e43de774e902

Observation 1c08e668-2958-474e-be54-e19c230e8a63 · inbound

Delta Activations: A Representation for Finetuned Large Language Models cites this paper.

Delta Activations: A Representation for Finetuned Large Language Models What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 25

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no resolver link, observed 2026-08-15T16:32:08.438305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:32:08.438305Z digest=sha256:2bb6d8334804c59d17ab4d246dfc74a8c2f73fe73089ddb2b049462a63e9034c

Observation 5d592348-3c11-4d33-be28-4f70c6344e7c · inbound

SynthPert: Enhancing LLM Biological Reasoning via Synthetic Reasoning Traces for Cellular Perturbation Prediction cites this paper.

SynthPert: Enhancing LLM Biological Reasoning via Synthetic Reasoning Traces for Cellular Perturbation Prediction What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 12

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verified exact
arxiv_id, observed 2026-05-18T12:36:22.384400Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-18T12:35:13.190092Z digest=sha256:b6eec2631ba2cb01a35363c889a057e1ca2fcc7cbe067a3023595d15b63e731c

Observation f2ff05e1-0350-42ff-80fb-fa7418d79012 · inbound

MOSAIC: Multi-agent Orchestration for Task-Intelligent Scientific Coding cites this paper.

MOSAIC: Multi-agent Orchestration for Task-Intelligent Scientific Coding What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 28

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verified exact
arxiv_id, observed 2026-05-18T08:31:06.807306Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-18T08:28:59.161675Z digest=sha256:350632bd4c90f57de1e75ddd4943e7b29539cfa85d88b28859b253f19af6d39f

Observation 65080f60-5aa7-457e-b13f-db4814363f61 · inbound

CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts cites this paper.

CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 21

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no resolver link, observed 2026-08-04T10:40:45.421707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:40:45.421707Z digest=sha256:d356251ec906e475356f899638c3fa37d907702cf3f56553efc205ee47beec7e

Observation a3e643db-c3fb-4e4a-b498-e9616086ce76 · inbound

MedBayes-Lite: A Clinical Uncertainty Governance Layer for Risk-Aware Medical Decision Support cites this paper.

MedBayes-Lite: A Clinical Uncertainty Governance Layer for Risk-Aware Medical Decision Support What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 28

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no resolver link, observed 2026-08-03T21:09:20.830243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:09:20.830243Z digest=sha256:244117307daa2683ff0e63ffa619ad63fe6be442e3a179f48c8979530273aded

Observation 026a396d-bc20-4320-afdf-dedcdbc0bef3 · inbound

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts cites this paper.

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 4

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no resolver link, observed 2026-08-03T12:41:25.394894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:41:25.394894Z digest=sha256:7cb19df36f37a71c99cb51d9b7c1e06e7578f217f93220ce248fe14f576a0dad

Observation 7b58905e-cc33-4c8e-be5d-b61d9360f42b · inbound

When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation cites this paper.

When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 7

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unresolved
no resolver link, observed 2026-08-02T22:31:49.712067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:31:49.712067Z digest=sha256:c7390285a2ac56b73bfc0947db5adc55cc8c97129a398c779a9187025cc8c41a

Observation d792b0bb-d69e-4b18-a756-55c5d58c60a6 · inbound

Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution cites this paper.

Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 20

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no resolver link, observed 2026-08-02T16:52:27.511231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:52:27.511231Z digest=sha256:ac7ee1e40a78b92dc33df5f662246233c7354f00ef5bdbb3ea1bffd589e257e7

Observation 2b87c05f-298b-4c4f-a27b-2e342d819e7a · inbound

Exclusive Unlearning cites this paper.

Exclusive Unlearning What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:10:52.174779Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T18:39:54.728106Z digest=sha256:432cf858baae2d45f2a564160ed73d1a236a6528bc8baaafe61e1774b71484f6

Observation ce0e84f9-f706-4586-8d74-12806929e8f6 · inbound

From Exposure to Internalization: Dual-Stream Calibration for In-context Clinical Reasoning cites this paper.

From Exposure to Internalization: Dual-Stream Calibration for In-context Clinical Reasoning What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:10:50.538849Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T19:19:15.053725Z digest=sha256:e08b72103963d669b31b0f71cfd75d03e067d8fead46b1c2ed26b9f91eea1b92

Observation c9e5de7b-7f13-42e9-8301-6942c8943d8e · inbound

A Systematic Study of Retrieval Pipeline Design for Retrieval-Augmented Medical Question Answering cites this paper.

A Systematic Study of Retrieval Pipeline Design for Retrieval-Augmented Medical Question Answering What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:00:56.828387Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T17:51:41.539951Z digest=sha256:d840b8255c227bb71e94c9d090208e10dcb13eb6fd97893afc4c5e55f6ee9f61

Observation 1cd96220-5aa0-4859-86cd-b0d73f22d293 · inbound

Crowded in B-Space: Calibrating Shared Directions for LoRA Merging cites this paper.

Crowded in B-Space: Calibrating Shared Directions for LoRA Merging What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:52:14.013104Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T07:27:21.900575Z digest=sha256:a2694ab5e4d15e32bd12258011001ed477bbdc1bce03d3e88ffa6cc7232de74e

Observation 43470182-5fa3-4650-a216-dde432d76b6c · inbound

SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models cites this paper.

SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:25:55.149488Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T05:23:15.746795Z digest=sha256:d22f113f6097147189d689eb9ae603eb3aa068811d077248c3851a69355a87e0

Observation e686c453-ccbb-4a8b-91e9-2dcf587454ac · inbound

BioGraphletQA: Knowledge-Anchored Generation of Complex QA Datasets cites this paper.

BioGraphletQA: Knowledge-Anchored Generation of Complex QA Datasets What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:41:17.902795Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-07T16:28:40.577563Z digest=sha256:1cbea2c21444927af86aa5bfe5f9b8a2e45d8dbdf834cba204e588e5d7aace2d

Observation 1e888091-4b62-4b6f-985e-3f25f1f96605 · inbound

Compared to What? Baselines and Metrics for Counterfactual Prompting cites this paper.

Compared to What? Baselines and Metrics for Counterfactual Prompting What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-09T19:05:10.429230Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-09T19:02:46.991897Z digest=sha256:d553d95187060220d0128e31b57de967ad11585da443a160f1d97390bced3a85

Observation 0e41c4c9-f331-4f66-b1ce-16079831d5c2 · inbound

MedFabric and EtHER: A Data-Centric Framework for Word-Level Fabrication Generation and Detection in Medical LLMs cites this paper.

MedFabric and EtHER: A Data-Centric Framework for Word-Level Fabrication Generation and Detection in Medical LLMs What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:16:09.174867Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-08T17:43:52.309129Z digest=sha256:7eafeb8cffc265636af5ca09e3c0a948e49abe1d0eb33958df6528ac3795fd28

Observation 5beb0189-38c6-49f2-bb10-3322fe4729c0 · inbound

MedExAgent: Training LLM Agents to Ask, Examine, and Diagnose in Noisy Clinical Environments cites this paper.

MedExAgent: Training LLM Agents to Ask, Examine, and Diagnose in Noisy Clinical Environments What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:30:56.080206Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-11T02:28:16.582759Z digest=sha256:49adf97806f2285c7f81d884a9189160c7d4c343658d21806cfa7a93c0c135e5

Observation a463f6d8-701d-4686-9098-f4877f36d962 · inbound

Query-efficient model evaluation using cached responses cites this paper.

Query-efficient model evaluation using cached responses What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 165

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:55:59.984010Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-11T00:57:26.494031Z digest=sha256:6aa5a95e9c196110f1667c5e877597ef89dc2ef55537d8416d69fdd4102624dc

Observation f80d8dc1-acd4-4be4-a477-f6e2d14f9a3c · inbound

Query-efficient model evaluation using cached responses cites this paper.

Query-efficient model evaluation using cached responses What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:35:07.711157Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T23:28:47.530333Z digest=sha256:c493ef021b49ad293d20e2cbe80297d202b233ea1a08d6b589246e10b7445cae

Observation c1b5ec5c-4bca-4141-9ecd-66eb59b39e74 · inbound

Medical Incident Causal Factors and Preventive Measures Generation Using Tag-based Example Selection in Few-shot Learning cites this paper.

Medical Incident Causal Factors and Preventive Measures Generation Using Tag-based Example Selection in Few-shot Learning What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:31:24.053869Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-12T02:47:27.341864Z digest=sha256:b0a0fa883f33f16b0d88aa1f73750bd3aef7dd4e3231e7d46fdb692929cd4582

Observation 11720922-f19d-4f34-b07b-54b890a18872 · inbound

Checkup2Action: A Multimodal Clinical Check-up Report Dataset for Patient-Oriented Action Card Generation cites this paper.

Checkup2Action: A Multimodal Clinical Check-up Report Dataset for Patient-Oriented Action Card Generation What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:12:07.233240Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-13T02:10:13.888438Z digest=sha256:93e45bc1bda66154e26a1c76b9593d7ffc3b8e2eb56b882e34a77c7f5caf5d83

Observation 5c758861-f8f8-46fb-b17b-3cdc2a5873aa · inbound

Checkup2Action: A Multimodal Clinical Check-up Report Dataset for Patient-Oriented Action Card Generation cites this paper.

Checkup2Action: A Multimodal Clinical Check-up Report Dataset for Patient-Oriented Action Card Generation What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:17:58.973841Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-14T21:16:23.083410Z digest=sha256:8f09645f34dd614ae6e475cbb312a4555f732e9421bc210d13b8b924a454044a

Observation 72a233ff-8918-4677-8bc0-d401724a2847 · inbound

CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence cites this paper.

CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:37:58.245221Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-14T20:37:36.144960Z digest=sha256:dbc8c51ff7b0e855e365d4db830314bc3c63bbb2a5e7f54aa3189f7b3526cee3

Observation faa6aacd-a525-483c-8d3a-563c8d8765c9 · inbound

Quantifying and Mitigating Premature Closure in Frontier LLMs cites this paper.

Quantifying and Mitigating Premature Closure in Frontier LLMs What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-06-30T20:45:02.873599Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T20:41:32.614286Z digest=sha256:13f70c054225f28e2447812c8f52bbaa09027ff351668ea5a7259bd695d02347

Observation f1b8c764-7ce6-447a-a752-86f3a702c15c · inbound

CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows? cites this paper.

CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows? What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-20T17:48:48.906346Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-20T17:45:02.896703Z digest=sha256:a2354fa8a5247017e2c32d6c9e7b7590859b2d04daf2900fd1ce257b39741e9f

Observation 40094ba1-4a28-4c61-82dd-a72ebb56ef5c · inbound

OEP: Poisoning Self-Evolving LLM Agents via Locally Correct but Non-Transferable Experiences cites this paper.

OEP: Poisoning Self-Evolving LLM Agents via Locally Correct but Non-Transferable Experiences What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:43:10.973388Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-20T09:39:52.849575Z digest=sha256:826da4521842cdca466155eabd1057be736db3ff258f8083d643e62fd657505e

Observation ef7c1f92-e45c-419b-87fe-d90bef426dc5 · inbound

Learning When to Adapt cites this paper.

Learning When to Adapt What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:08:15.707109Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-20T12:04:46.356382Z digest=sha256:3d1721ce6ab11be0dbcfb85e7e713a2737de76acdd72c764c6b7d340b70a90da

Observation 42bb2b17-016c-4538-9706-d5aff8892b36 · inbound

C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis Reasoning cites this paper.

C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis Reasoning What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:53:26.993227Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T12:43:58.323948Z digest=sha256:04a4d516965670fd00f50d941a8f2fb7a434aa953641bd8193fbfb91620c39a0

Observation 06b4153b-884a-4cec-8004-665152f85201 · inbound

C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis Reasoning cites this paper.

C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis Reasoning What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-04T05:01:11.049312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:01:11.049312Z digest=sha256:4a89a40843db5d9bb9dcc283e123f7b5afb70fecee8e025ee4a47bd18f501910

Observation 16b31b11-c53b-4b80-851f-1763fcf903a0 · inbound

CardioLens: Revealing the Clinical Reality Gap of MLLMs via Multi-Sequence Cardiac MRI Evaluations cites this paper.

CardioLens: Revealing the Clinical Reality Gap of MLLMs via Multi-Sequence Cardiac MRI Evaluations What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:33:15.371524Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T08:28:48.174508Z digest=sha256:99ed6a837cd9b91ee65438556f9ee2f31e68569e9a31c14ef842e9fd76224c4e

Observation 9642ade1-d3f4-46ad-8469-ffda3bb26f18 · inbound

When Knowledge Is Not Free: Cost-Aware Evidence Selection in Retrieval-Augmented Generation cites this paper.

When Knowledge Is Not Free: Cost-Aware Evidence Selection in Retrieval-Augmented Generation What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:36:17.913965Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-28T15:09:26.292691Z digest=sha256:31ac144ab1ed3a805173affb21302f2f6bf230bf6e3c9d3836003fb27fdc3676

Observation 6290d204-1a4e-423b-a5c0-8fa1b853c3e0 · inbound

The Reliability Gap in Benchmark Auditing: Distribution Shift and Scale as Failure Modes of Contamination Detection cites this paper.

The Reliability Gap in Benchmark Auditing: Distribution Shift and Scale as Failure Modes of Contamination Detection What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T03:36:30.318242Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-28T09:48:09.688745Z digest=sha256:30ca0dd9c798caa10b661aa72c377ae38fca189e265f0e06891b7c4b497150ce

Observation 6b0a6410-7cd6-4c03-a6eb-97f7128ff82c · inbound

The Reliability Gap in Benchmark Auditing: Distribution Shift and Scale as Failure Modes of Contamination Detection cites this paper.

The Reliability Gap in Benchmark Auditing: Distribution Shift and Scale as Failure Modes of Contamination Detection What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T00:39:16.477828Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-04T00:30:13.665405Z digest=sha256:dbedaaa8495946bc34eda91468d5c2d9b320ae210130ecd1e27e250efdd5b432

Observation b596f635-77c3-46ad-8dad-3cd5fcb7bafb · inbound

Beyond English benchmarks: clinical llm evaluation in Brazilian Portuguese cites this paper.

Beyond English benchmarks: clinical llm evaluation in Brazilian Portuguese What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:07:17.952247Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-27T21:40:16.052239Z digest=sha256:e5ab085e13d2c66e3481940bb1ff0a3b06351532d0d41094e11259cb04b05ab5

Observation a51cec65-0a28-4d23-8cdf-029ee785363d · inbound

Beyond Absolute Imitation: Anchored Residual Guidance for Privileged On-Policy Distillation cites this paper.

Beyond Absolute Imitation: Anchored Residual Guidance for Privileged On-Policy Distillation What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:07:36.581437Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-27T14:15:30.242783Z digest=sha256:b480d64a4489be4cb2013c1cba12a38433b74b49ad0357c07c3b3c9f9cb0b06f

Observation 9fe89378-6504-4314-93a2-7c8c9afa3256 · inbound

BioHarness: Substrate-Aware Evidence Assembly for Biomedical Question Answering across Literature, Knowledge Bases, and Biological Atlases cites this paper.

BioHarness: Substrate-Aware Evidence Assembly for Biomedical Question Answering across Literature, Knowledge Bases, and Biological Atlases What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:09:28.902460Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-26T18:34:09.474000Z digest=sha256:db84507be03b83fa3d2f98b58570ffb805b45cd4488825ffbfba451eaa0a00a9

Observation 9ee155cc-09a9-415e-a3a0-832c2069429c · inbound

Demystifying Numerical Instability in LLM Inference: Achieving Reproducible Inference for Mission-Critical Tasks with HEAL cites this paper.

Demystifying Numerical Instability in LLM Inference: Achieving Reproducible Inference for Mission-Critical Tasks with HEAL What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:59:38.015143Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-26T14:58:55.680525Z digest=sha256:b5c5a0750c216627f34dc9d5c52582bffb547742434152b57be744a0c10ecaa7

Observation b8da70e3-8031-478d-b552-3ed410362b9a · inbound

When Medical Safety Alignment Fails: A Benchmark for Evaluating LLMs on High-Risk Medical Queries cites this paper.

When Medical Safety Alignment Fails: A Benchmark for Evaluating LLMs on High-Risk Medical Queries What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T11:04:37.471039Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-30T11:03:52.230759Z digest=sha256:d0f0da65e9f6e8fdf90958a927eca61868dc6b1f3e0701adfb47856d7eec91a3

Observation fc24aed7-d8b1-4c1e-ac72-5e10317ca417 · inbound

TriageRA-CCF: Source-Side Clinical Confidence and Coverage Signals for Adaptive Rank Budgeting in Medical LLMs cites this paper.

TriageRA-CCF: Source-Side Clinical Confidence and Coverage Signals for Adaptive Rank Budgeting in Medical LLMs What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:44:21.907045Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T07:40:21.132616Z digest=sha256:d40b628a718a59bbfe028c50f8c560e8b2dbfd1dcb182a0767adb19b3d24f771

Observation a0eee341-8966-4cc7-af0d-914730d310b3 · inbound

Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering cites this paper.

Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:05:40.996105Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-01T05:53:55.141657Z digest=sha256:c5c3330c614251d132fd04a3b3f58e1b2e8a2736eee8b083bf2e9f705ac4f0ad

Observation b22507a4-5c4b-481f-9c7f-6107565422ac · inbound

Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering cites this paper.

Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:57:19.012922Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T19:53:25.252752Z digest=sha256:c1ca4863b4db84b041e3f6d1ba5bc4e5661c068886dca4c825a1006f357b3807

Observation eb613040-367f-4341-acf1-76e417e6320f · inbound

EduArt: An educational-level benchmark for evaluating art history knowledge in large language models cites this paper.

EduArt: An educational-level benchmark for evaluating art history knowledge in large language models What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:48:32.243070Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-07-03T14:48:06.514693Z digest=sha256:828d32541f07f9269fbd24363d675a30cda052f5bac531240783d304481291f4