Paper Citation Record · LEDGER

Disentangling Reasoning and Knowledge in Medical Large Language Models

As of 18 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 5 inbound Pith citation observations for arXiv:2505.11462.

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

pith.paper-citation-record.v1
2505.11462 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:57:56.132621Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:08:56.179861Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:16:47.669880Z

Reference resolution

50 of 50 outbound references displayed

verified exact0
verified fuzzy17
unresolved32
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 25c886f1-e267-4ca3-ac33-80c046f1868f · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning and Knowledge in Medical Large Language Models Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:57:57.050512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2c5c92f9-357a-45f0-bdff-aa587e9c0dc3 · outbound

This paper cites G., and Sutphen, M.

Disentangling Reasoning and Knowledge in Medical Large Language Models G., and Sutphen, M

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:57.038182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 42562aad-0855-42f8-8431-cf4b568ca13f · outbound

This paper cites Lessons From Red Teaming 100 Generative AI Products.

Disentangling Reasoning and Knowledge in Medical Large Language Models Lessons From Red Teaming 100 Generative AI Products

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:55.938693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec64eca6-04bf-48fe-9e85-c88459f4df9f · outbound

This paper cites T., Farah, H., Gui, H., Rezaei, S.

Disentangling Reasoning and Knowledge in Medical Large Language Models T., Farah, H., Gui, H., Rezaei, S

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:57.026127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3e3af9c9-8291-4b2c-9293-932ee956fe5d · outbound

This paper cites Benchmarking large language models on answering and explaining challenging medical questions.

Disentangling Reasoning and Knowledge in Medical Large Language Models Benchmarking large language models on answering and explaining challenging medical questions

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:55.948153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87344c85-6269-4546-8a89-88cc6300acce · outbound

This paper cites SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models.

Disentangling Reasoning and Knowledge in Medical Large Language Models SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:55.952413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71c28014-abc5-4cd1-a784-3518fa783ac5 · outbound

This paper cites HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs.

Disentangling Reasoning and Knowledge in Medical Large Language Models HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:55.957637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6248ec79-47b2-4d00-be1c-1560e2360dc9 · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

Disentangling Reasoning and Knowledge in Medical Large Language Models SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:55.962021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08effff5-3236-4cc0-9951-2ff932a1644c · outbound

This paper cites A universal model of diagnostic reasoning.

Disentangling Reasoning and Knowledge in Medical Large Language Models A universal model of diagnostic reasoning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:57.013694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation abf8c377-5417-425a-9835-0a4486263388 · outbound

This paper cites OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles.

Disentangling Reasoning and Knowledge in Medical Large Language Models OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:55.971155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d41c0ed5-6292-4a18-9e68-a11ecdc92e6f · outbound

This paper cites S., Shulman, L.

Disentangling Reasoning and Knowledge in Medical Large Language Models S., Shulman, L

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:57.001121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8e52060-3a65-4073-bc63-b3304e3d0d67 · outbound

This paper cites Medgemma hugging face.

Disentangling Reasoning and Knowledge in Medical Large Language Models Medgemma hugging face

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:56.988953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ca049a1b-3681-48b4-8900-39918e0e6467 · outbound

This paper cites The Llama 3 Herd of Models.

Disentangling Reasoning and Knowledge in Medical Large Language Models The Llama 3 Herd of Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:55.984400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbd7a809-0d26-41a3-b4cf-9a7025ec5f6e · outbound

This paper cites Domain-specific language model pretraining for biomedical natural language processing.

Disentangling Reasoning and Knowledge in Medical Large Language Models Domain-specific language model pretraining for biomedical natural language processing

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:56.976818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dcd2d587-e900-40db-ac9f-26e72d4e6f96 · outbound

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

Disentangling Reasoning and Knowledge in Medical Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:55.992357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dd2dba2-847e-419c-9cad-bd4e6dceaaf8 · outbound

This paper cites K., et al.

Disentangling Reasoning and Knowledge in Medical Large Language Models K., et al

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:56.964732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 80a06c1f-8567-48b8-b84a-172ec31e0619 · outbound

This paper cites m1: Unleash the potential of test-time scaling for medical reasoning with large language models.

Disentangling Reasoning and Knowledge in Medical Large Language Models m1: Unleash the potential of test-time scaling for medical reasoning with large language models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.000037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd94fa28-0754-4359-854f-1548389cbd55 · outbound

This paper cites GPT-4o System Card.

Disentangling Reasoning and Knowledge in Medical Large Language Models GPT-4o System Card

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.003934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45c08075-ed99-4f6b-89f6-cbc725cee737 · outbound

This paper cites OpenAI o1 System Card.

Disentangling Reasoning and Knowledge in Medical Large Language Models OpenAI o1 System Card

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.008077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1848102d-2a74-4533-b4c0-5b38d261f2a2 · outbound

This paper cites What disease does this patient have? a large-scale open domain question answering dataset from medical exams.

Disentangling Reasoning and Knowledge in Medical Large Language Models What disease does this patient have? a large-scale open domain question answering dataset from medical exams

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:56.951711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fc580b76-bac7-404c-a072-9f72809b54db · outbound

This paper cites Disentangling Memory and Reasoning Ability in Large Language Models.

Disentangling Reasoning and Knowledge in Medical Large Language Models Disentangling Memory and Reasoning Ability in Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.016485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ed913cc-4498-4a27-8f20-7d6b2f9984d1 · outbound

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

Disentangling Reasoning and Knowledge in Medical Large Language Models PubMedQA: A Dataset for Biomedical Research Question Answering

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.020780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 919829a4-676a-4df7-bbf0-17245d51a1b9 · outbound

This paper cites Training Language Models to Self-Correct via Reinforcement Learning.

Disentangling Reasoning and Knowledge in Medical Large Language Models Training Language Models to Self-Correct via Reinforcement Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.024840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c793b0cf-68f1-4c80-853f-8e1dd4ea8e2d · outbound

This paper cites H., Gonzalez, J., Zhang, H., and Stoica, I.

Disentangling Reasoning and Knowledge in Medical Large Language Models H., Gonzalez, J., Zhang, H., and Stoica, I

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:56.832004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aec1cb67-43bd-49c0-92ac-1542533ea5cb · outbound

This paper cites Using script theory to cultivate illness script formation and clinical reasoning in health professions education.

Disentangling Reasoning and Knowledge in Medical Large Language Models Using script theory to cultivate illness script formation and clinical reasoning in health professions education

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:56.819468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1de6b7fb-be87-4299-8821-d27cf50f450b · outbound

This paper cites Self-refine: Iterative refinement with self-feedback.Advances in Neural Information Processing Systems , 36:46534–46594, 2023.

Disentangling Reasoning and Knowledge in Medical Large Language Models Self-refine: Iterative refinement with self-feedback.Advances in Neural Information Processing Systems , 36:46534–46594, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:56.806016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8a9bd012-86a7-48ba-88a4-6fd1c0a45b27 · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning and Knowledge in Medical Large Language Models Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:57:56.793235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 381e8c61-29f0-4ba5-b7e7-5e3fc1d9dbe1 · outbound

This paper cites K., and Sankarasubbu, M.

Disentangling Reasoning and Knowledge in Medical Large Language Models K., and Sankarasubbu, M

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:56.780524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6b07d5b8-527e-4320-ad75-23b01e83cff9 · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning and Knowledge in Medical Large Language Models Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:57:56.767690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9aa8c74e-ec51-4088-a963-0edb2332cbdc · outbound

This paper cites Humanity's Last Exam.

Disentangling Reasoning and Knowledge in Medical Large Language Models Humanity's Last Exam

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.052948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92a06937-9bbe-47a8-baa6-759e633db587 · outbound

This paper cites L., Stickland, A.

Disentangling Reasoning and Knowledge in Medical Large Language Models L., Stickland, A

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:56.754459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d2015f21-5d21-4e5b-97bd-21d7b7e3640a · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning and Knowledge in Medical Large Language Models Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:57:56.740590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 336b3cfa-207e-46d7-96e0-bc439302446b · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning and Knowledge in Medical Large Language Models Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:57:56.727097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 41cff60e-bbae-4725-8de6-5ffc590c4e3f · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

Disentangling Reasoning and Knowledge in Medical Large Language Models HybridFlow: A Flexible and Efficient RLHF Framework

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.068522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7d7f186-519a-431b-aea5-f1fb8dedf3d4 · outbound

This paper cites an unresolved cited work.

Disentangling Reasoning and Knowledge in Medical Large Language Models Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:57:56.714342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 928e991b-ae16-47cc-9919-bb09a063d528 · outbound

This paper cites Embracing complexity with systems thinking in general practitioners’ clinical reasoning helps handling uncertainty.

Disentangling Reasoning and Knowledge in Medical Large Language Models Embracing complexity with systems thinking in general practitioners’ clinical reasoning helps handling uncertainty

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:56.701149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation be2bacc5-a788-41ef-a7cf-7a3e65752a7a · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Disentangling Reasoning and Knowledge in Medical Large Language Models Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.080460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41a1d290-2f33-455c-a71f-8c4621e5e815 · outbound

This paper cites HEAD-QA: A Healthcare Dataset for Complex Reasoning.

Disentangling Reasoning and Knowledge in Medical Large Language Models HEAD-QA: A Healthcare Dataset for Complex Reasoning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.084538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99bbe380-8c15-4ea5-9a63-06fd2bc697af · outbound

This paper cites Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.

Disentangling Reasoning and Knowledge in Medical Large Language Models Mmlu-pro: A more robust and challenging multi-task language understanding benchmark

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:56.687725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3b492577-4f41-4d36-a32e-c5c8c3135c49 · outbound

This paper cites V ., Zhou, D., et al.

Disentangling Reasoning and Knowledge in Medical Large Language Models V ., Zhou, D., et al

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.092448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 472cceec-1574-497f-b478-430a8599104b · outbound

This paper cites Generating Sequences by Learning to Self-Correct.

Disentangling Reasoning and Knowledge in Medical Large Language Models Generating Sequences by Learning to Self-Correct

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.096318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0078763b-4242-4659-9a27-4151b0d0c5ca · outbound

This paper cites MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs.

Disentangling Reasoning and Knowledge in Medical Large Language Models MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.100584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29473ed1-6c72-469d-8e0b-778378520ded · outbound

This paper cites Qwen2.5 Technical Report.

Disentangling Reasoning and Knowledge in Medical Large Language Models Qwen2.5 Technical Report

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.104776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caa646ae-da9c-4e7e-9d66-66e9147286e2 · outbound

This paper cites R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization.

Disentangling Reasoning and Knowledge in Medical Large Language Models R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.108603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7570d88c-48a4-43b4-a53b-72612674e3db · outbound

This paper cites and Hoseini Abardeh, M.

Disentangling Reasoning and Knowledge in Medical Large Language Models and Hoseini Abardeh, M

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:56.665555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 77a1754e-84ad-4dae-a433-87cf075a1006 · outbound

This paper cites Backtracking Improves Generation Safety.

Disentangling Reasoning and Knowledge in Medical Large Language Models Backtracking Improves Generation Safety

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.116477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67c248f1-1b30-4300-9e07-7cedbadfc63a · outbound

This paper cites Easyr1: An efficient, scalable, multi-modality rl training framework, 2025.

Disentangling Reasoning and Knowledge in Medical Large Language Models Easyr1: An efficient, scalable, multi-modality rl training framework, 2025

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:56.651885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5d51348b-aca2-4dd7-9fc7-b40a7bc084e0 · outbound

This paper cites Evaluation of openai o1: Opportunities and challenges of agi.

Disentangling Reasoning and Knowledge in Medical Large Language Models Evaluation of openai o1: Opportunities and challenges of agi

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.124260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 664108b8-aa56-4930-bc1c-585558863c94 · outbound

This paper cites Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models.

Disentangling Reasoning and Knowledge in Medical Large Language Models Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:56.128245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6deb072-9fe2-4cc4-ba96-89e80df68f58 · outbound

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

Disentangling Reasoning and Knowledge in Medical Large Language Models MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

Reference 50

Resolution: malformed identifier; no resolver link, observed 2026-08-15T20:57:56.132621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation fa72c826-4858-41b7-8118-e88fec1060cb · inbound

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs cites this paper.

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs Disentangling Reasoning and Knowledge in Medical Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T20:08:56.179861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2fd42b1-9267-40cb-a7c9-dcdd005dd195 · inbound

How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study cites this paper.

How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study Disentangling Reasoning and Knowledge in Medical Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:19:47.083790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d429c716-8372-44de-9094-d91b07dfceaa · inbound

Medical Reasoning with Large Language Models: A Survey and MR-Bench cites this paper.

Medical Reasoning with Large Language Models: A Survey and MR-Bench Disentangling Reasoning and Knowledge in Medical Large Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:25:26.828395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7074bbad-d145-406e-9251-d0678ecfb4e8 · inbound

Evo-MedAgent: Beyond One-Shot Diagnosis with Agents That Remember, Reflect, and Improve cites this paper.

Evo-MedAgent: Beyond One-Shot Diagnosis with Agents That Remember, Reflect, and Improve Disentangling Reasoning and Knowledge in Medical Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:46:34.096890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 89a6fd6d-b127-4d3f-9c84-8991d5531de1 · inbound

Search-Time Contamination in Deep Research Agents: Measuring Performance Inflation in Public Benchmark Evaluation cites this paper.

Search-Time Contamination in Deep Research Agents: Measuring Performance Inflation in Public Benchmark Evaluation Disentangling Reasoning and Knowledge in Medical Large Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:16:47.671337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.