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Paper Citation Record · LEDGER

MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2203.14371.

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

pith.paper-citation-record.v1
2203.14371 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:30:11.968468Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

74
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2f7e9616-2e4f-4d7c-b1b4-01deb0198c51 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 220

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verified exact
arxiv_id, observed 2026-05-13T05:53:21.918410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-13T05:53:21.810346Z digest=sha256:8f6d2432aab9529d2b7d1b8e1ca6772e176c243cab29042b77914e656268589f

Observation db488721-0944-4688-9d94-00a1eca8ac48 · inbound

Generative AI in Medicine cites this paper.

Generative AI in Medicine MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 259

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no resolver link, observed 2026-08-11T16:00:18.750265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:00:18.750265Z digest=sha256:c779b2b888d683c47ca98b176d4c1124681e6193e24076826c36286e6a22a467

Observation 5862ba6d-f489-4b73-9b85-4f751c5b5e1f · inbound

Virology Capabilities Test (VCT): A Multimodal Virology Q&A Benchmark cites this paper.

Virology Capabilities Test (VCT): A Multimodal Virology Q&A Benchmark MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 50

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unresolved
no resolver link, observed 2026-08-16T11:30:11.968468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:30:11.968468Z digest=sha256:8867369d05728d703ce9b059b22614502ac9978fbb0afa71cff08f5454159b69

Observation 90ebc75e-2d21-4aa1-ab54-f6d02fbe2b3f · 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 MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T10:28:11.115101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:28:11.115101Z digest=sha256:be02b7069c2d26832e6879328f45d255ca14564563cf320f57942e0454a34403

Observation 955d472e-6f4c-456d-ad05-4b63e8c5e79e · inbound

Lightweight Clinical Decision Support System using QLoRA-Fine-Tuned LLMs and Retrieval-Augmented Generation cites this paper.

Lightweight Clinical Decision Support System using QLoRA-Fine-Tuned LLMs and Retrieval-Augmented Generation MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T23:55:01.304609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:55:01.304609Z digest=sha256:4f53502609bb3f30c05c67c9af55ad1723e3a0d7251b3f2b8c0c33de0fb07496

Observation 46809a5b-bd72-4e20-b125-c03e3df43601 · 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 MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:58.938847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:57:58.938847Z digest=sha256:23b3e78375de6724a1cc301b3181f9c9dc60225712d958676a6d7dda51af82f7

Observation ca05b8fb-138c-4f97-a04b-5782454c4674 · 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 MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:45.212350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:28:45.212350Z digest=sha256:6ab7c6613edf12c38496ab5a4b156f6925c3ff4ac30a4760a28900899912c683

Observation 133620ab-795b-4615-978d-344bff241c31 · inbound

Enterprise Large Language Model Evaluation Benchmark cites this paper.

Enterprise Large Language Model Evaluation Benchmark MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T22:56:31.339236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:56:31.339236Z digest=sha256:f2fb4a6e50b2707a37c557d39d60a220780c46b8e74c944ec9c9c61e114c3fa7

Observation cd1843af-84b1-4d17-b490-0a164acf525b · inbound

HealthQA-BR: A System-Wide Benchmark Reveals Critical Knowledge Gaps in Large Language Models cites this paper.

HealthQA-BR: A System-Wide Benchmark Reveals Critical Knowledge Gaps in Large Language Models MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:59.386921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:59.386921Z digest=sha256:46a083f0c200d940cbace7408a69785c7f44f56a79af81cb98ed4df1424d0271

Observation 6fab41cb-ecc3-4953-aca6-697cfc9ef00b · inbound

AutoEvoEval: An Automated Framework for Evolving Close-Ended LLM Evaluation Data cites this paper.

AutoEvoEval: An Automated Framework for Evolving Close-Ended LLM Evaluation Data MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 11

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unresolved
no resolver link, observed 2026-08-06T21:45:01.978036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:01.978036Z digest=sha256:ff5a49705bee5f19f2762eb9a0a0dd52031c812de4dde95de519df69978e6c8c

Observation e5ddf721-ee3d-4202-bebe-ae5ea3c61ba3 · 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 MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T22:01:41.911397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:01:41.911397Z digest=sha256:331899b73ecd579dcf5e12babf5961c21fc4ef09af3f3976d53a57a3add7b549

Observation 530a79ff-79a5-4603-8c4e-cad1a6d39e70 · inbound

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

DentalBench: Benchmarking and Advancing LLMs Capability for Bilingual Dentistry Understanding MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T15:09:48.843816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:09:48.843816Z digest=sha256:d34c1da1979b286aab0d2f409a9dfbbdd8ba5798a1b5b255f11e605ce340ba1c

Observation 841c91e4-9266-4bc8-bd38-626e047fd32e · inbound

Automatic Replication of LLM Mistakes in Medical Conversations cites this paper.

Automatic Replication of LLM Mistakes in Medical Conversations MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:28:24.184881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T20:25:24.722562Z digest=sha256:7f0056980bf44f52a04e91ddb49f5240533c89be3db1dc24c4fc29ba5e9ca2f4

Observation f11797a3-8542-4150-b492-a333827e5ce6 · inbound

SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences? cites this paper.

SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences? MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:36:03.488297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T15:55:34.768853Z digest=sha256:8b306e3605ff70b3f57e3a6c8ec2a0e253362dd75259fa4d3b0f547b0bd6acd3

Observation 8175b95d-7498-4734-8a4a-3ee246453849 · inbound

Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach cites this paper.

Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:56:02.535119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T15:16:32.294359Z digest=sha256:80b7b275a0eedecd1418b468cf562a083b661e01648e0b1b94728119d4a7449e

Observation 5b2b9fb7-52c1-4a24-a3cc-3114297a4c20 · inbound

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

Compared to What? Baselines and Metrics for Counterfactual Prompting MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 125

Resolution
verified exact
arxiv_id, observed 2026-05-09T19:05:10.559010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-09T19:02:46.991897Z digest=sha256:f0cfcf704ba4de5ae630345f06e1901650aeb7feb3a82ada4475a01b5627aa17

Observation 08b59d2c-5310-4db0-a613-a658352b3faf · inbound

Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation cites this paper.

Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:31:29.395279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T04:10:31.784413Z digest=sha256:6ce72f5d85cab17dd48a2cbf649a253b324b777c7841140782cfad44440b3bf5

Observation 26504b20-5715-47f3-978e-88cecd46d512 · 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? MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-20T17:48:48.807389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T17:45:02.896703Z digest=sha256:415a8f772bb708d32b7a8facf1e383745f243f26fb9d0744bc3ea2a23261552a

Observation 271f9a0f-6a0c-4a5b-b109-b6168fcfc64a · inbound

Claim-Selective Certification for High-Risk Medical Retrieval-Augmented Generation cites this paper.

Claim-Selective Certification for High-Risk Medical Retrieval-Augmented Generation MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:01:11.728913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T06:59:37.791418Z digest=sha256:9bc83b59c0e6e4f8ad7188f91feaee9449a0c23d74722455a24d6e3027563221

Observation 628482a5-77b0-450f-a4f1-67b2668995a4 · inbound

Active Evidence-Seeking and Diagnostic Reasoning in Large Language Models for Clinical Decision Support cites this paper.

Active Evidence-Seeking and Diagnostic Reasoning in Large Language Models for Clinical Decision Support MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 6

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verified exact
arxiv_id, observed 2026-05-22T06:21:09.868353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T06:21:06.821499Z digest=sha256:d9a527ea3303c3fae920fcd3c919ca674816b26ac97f4247407ceddb7cecbaa1

Observation ed6367b1-5d5d-443b-a444-75f0cbce6f96 · inbound

MDIA: A Multi-Agent Diagnostic Intelligence Pipeline on HealthBench Professional cites this paper.

MDIA: A Multi-Agent Diagnostic Intelligence Pipeline on HealthBench Professional MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 10

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verified exact
arxiv_id, observed 2026-06-30T13:14:40.481941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T13:13:26.156464Z digest=sha256:d4d6fdd95ac35934171706e86723a8e0b6a433476d2580ae412abad08c79ffcf

Observation f4d00188-2750-474f-bcdc-11d369407864 · inbound

Generalistic or Specific Embeddings, Which is Better? An Empirical Study on Search for Clinical Coding in Non-English Languages cites this paper.

Generalistic or Specific Embeddings, Which is Better? An Empirical Study on Search for Clinical Coding in Non-English Languages MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 74

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verified exact
arxiv_id, observed 2026-06-29T07:33:13.973741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T07:27:03.060416Z digest=sha256:07771927da8049dff041d9684ac70fa1a864ac8bc3ab612b9f6ddead1dca8010

Observation 84a4ce7c-ddf3-4638-ad2d-0da0a031ec79 · 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 MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T03:36:30.296094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T09:48:09.688745Z digest=sha256:aa107fadccc1c3f12ff355ce522b5c8ae223fc83e94c7803e19072d19c8467fd

Observation 57af8a87-df42-4ac9-93aa-2e487faa69b7 · 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 MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T00:39:16.475540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-04T00:30:13.665405Z digest=sha256:fbf91561939ea9ae726fd734e474342670660769933c58bb523da92553b9f336

Observation 62684203-6a11-46b6-81bb-a160f60b8936 · inbound

Trade-offs in Medical LLM Adaptation: An Empirical Study in French QA cites this paper.

Trade-offs in Medical LLM Adaptation: An Empirical Study in French QA MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T00:49:17.789462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T21:00:06.185627Z digest=sha256:fec7234208f5a88d179b1e4ca99ac852f937f678946a36fdcbadc9a34fe29e67

Observation 8c3e7113-111d-414d-99cd-41e5e3dc3332 · inbound

Clinician-Level Agreement Without Clinical Caution: LLM Evaluator Limits in Medical AI Benchmarking cites this paper.

Clinician-Level Agreement Without Clinical Caution: LLM Evaluator Limits in Medical AI Benchmarking MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:46:56.250844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T12:41:37.525229Z digest=sha256:4857fdfc53765de4d67865754c9dba83f4b1297c30c1eac57b3a71d5abffcb4f

Observation df9f85c0-5fad-4744-b60d-a458ac76e37f · inbound

Clinician-Level Agreement Without Clinical Caution: LLM Evaluator Limits in Medical AI Benchmarking cites this paper.

Clinician-Level Agreement Without Clinical Caution: LLM Evaluator Limits in Medical AI Benchmarking MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T02:04:25.606072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:04:25.606072Z digest=sha256:73c9fcbe08f1a608a6192d9f9fd6922cbddd16245b25632ca60b3788d8f1896c

Observation 6d770fca-d866-44d3-a6a8-40b9564c7e82 · inbound

MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation cites this paper.

MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-13T05:07:42.040673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:07:42.040673Z digest=sha256:616ce2b7713c18256b28a00cae7ceefd2d60a9648726c4bfb4382a5cdbdf1733

Observation 183fe46d-a841-4df4-9fc0-51fcf547f4ae · inbound

MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation cites this paper.

MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T07:43:26.937401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:43:26.937401Z digest=sha256:5bd95ec2a18635e0fddfcaab23f871c33ac292e02d28cea5ce76292183b15610

Observation 46ebbf61-a4bb-47f9-8ea3-ee3ce8df33b5 · inbound

Cura 1T: Specialized Model for Agentic Healthcare cites this paper.

Cura 1T: Specialized Model for Agentic Healthcare MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T02:16:39.894441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:16:39.894441Z digest=sha256:42ed96d485ce9b446722490da6a32b3cb1207914b3ae89f2d533eb33a5873d60

Observation e43714f9-47bb-4d11-a307-bf2ab5c2a694 · inbound

Reference-Free Evaluation of Reasoning in Open-Ended Question Answering cites this paper.

Reference-Free Evaluation of Reasoning in Open-Ended Question Answering MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-01T12:04:27.672674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:04:27.672674Z digest=sha256:94856c9f6bf52e569b536b114e2df027d37f4770d77a8e40345901c003e248fb

Observation 04fb7e64-e3a7-4db3-9872-235300eb39b3 · inbound

Social Chain of Thought: A Multi-Agent Architecture Grounded in Medical Differential Diagnosis Methodology cites this paper.

Social Chain of Thought: A Multi-Agent Architecture Grounded in Medical Differential Diagnosis Methodology MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T14:17:50.791324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:50.791324Z digest=sha256:1c0a34b5c860ae78b398ab9488dbd37c06bee0a11cc23937f4b51a822cfe8a9a