Paper Citation Record · LEDGER

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 3 inbound Pith citation observations for arXiv:2505.24105.

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

pith.paper-citation-record.v1
2505.24105 v1

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:16.167357Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:42:34.643403Z

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

81 of 81 outbound references displayed

verified exact1
verified fuzzy24
unresolved56
parse uncertain0
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 88cd335b-b05b-4e69-9ea7-8938a1be17fd · outbound

This paper cites GPT-4 Technical Report.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:05.748193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d031cc18-80a3-4363-b2aa-beb9f1a67af2 · outbound

This paper cites Claude 3 haiku: our fastest model yet, March 2024.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Claude 3 haiku: our fastest model yet, March 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:05.836155Z

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Observation ccb64938-c2e3-4146-adf7-1470961a05ba · outbound

This paper cites Claude 3.5 sonnet, June 2024.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Claude 3.5 sonnet, June 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:24.573185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 25a76a8d-bac8-4dba-8c89-500edc05a857 · outbound

This paper cites Training a helpful and harmless assistant with reinforcement learning from human feedback, 2022.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Training a helpful and harmless assistant with reinforcement learning from human feedback, 2022

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:06.100300Z

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Observation ccf6234e-e6e1-4535-84c1-6581ca90850e · outbound

This paper cites Rm-r1: Reward modeling as reasoning.arXiv preprint arXiv:2505.02387, 2025.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Rm-r1: Reward modeling as reasoning.arXiv preprint arXiv:2505.02387, 2025

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:06.195545Z

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Observation 650e90de-3aa1-40ab-93d0-bd5cfd21236a · outbound

This paper cites TIMER: Temporal Instruction Modeling and Evaluation for Longitudinal Clinical Records.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning TIMER: Temporal Instruction Modeling and Evaluation for Longitudinal Clinical Records

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:06.323564Z

Source-reported events for the cited work

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Observation 6e6a513b-0f05-4bc0-8d0e-4c93033ec4d1 · outbound

This paper cites A new paradigm for accelerating clinical data science at stanford medicine, 2020.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning A new paradigm for accelerating clinical data science at stanford medicine, 2020

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:24.207489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 326ae02a-724f-4313-8763-1e01c822d791 · outbound

This paper cites Electronic health records: then, now, and in the future.Yearbook of medical informatics, 25(S 01):S48–S61, 2016.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Electronic health records: then, now, and in the future.Yearbook of medical informatics, 25(S 01):S48–S61, 2016

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:06.646162Z

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Observation 20d7d28e-5b28-48fa-a794-14c19f6efdd7 · outbound

This paper cites Fleming, Alejandro Lozano, William J.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Fleming, Alejandro Lozano, William J

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:23.908708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c33a26b2-608e-4b8e-b165-9dbfb4c71594 · outbound

This paper cites Metrics for multi-class classification: An overview.stat, 1050:13, 2020.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Metrics for multi-class classification: An overview.stat, 1050:13, 2020

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:23.653417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f6f7d809-fa99-4a90-8eff-08d7f966d1db · outbound

This paper cites The Llama 3 Herd of Models.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning The Llama 3 Herd of Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:07.001760Z

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Observation 8e34339c-d7bc-46cd-a13f-f39629154c2d · outbound

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

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:07.140634Z

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Observation 0c5e5c1d-46c5-4dd2-8e9d-b21bbf86b506 · outbound

This paper cites Kale, Greg Ver Steeg, and Aram Galstyan.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Kale, Greg Ver Steeg, and Aram Galstyan

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:23.408150Z

Source-reported events for the cited work

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Observation f99164e9-49d7-417a-800b-205e0852b455 · outbound

This paper cites GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:07.437399Z

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Observation 856cf426-b842-4c7a-9ba6-3811d2568764 · outbound

This paper cites Measuring massive multitask language understanding, 2021.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Measuring massive multitask language understanding, 2021

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:23.231577Z

Source-reported events for the cited work

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Observation 1ad0381e-b8c5-4f9d-a42d-14fa07e5d01c · outbound

This paper cites DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:07.713578Z

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Observation daf9734b-6cb2-4714-a051-00d83dff8885 · outbound

This paper cites Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:07.860220Z

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Observation 25ccaad0-916f-4dae-bbdd-6ece313ae861 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:07.992856Z

Source-reported events for the cited work

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

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

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

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

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Observation 81e95fa0-d63a-404d-b55a-74dc0d2175e0 · outbound

This paper cites Medcalc-bench: Evaluating large language models for medical calculations.Advances in Neural Information Processing Systems, 37:84730–84745, 2024.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Medcalc-bench: Evaluating large language models for medical calculations.Advances in Neural Information Processing Systems, 37:84730–84745, 2024

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:08.270915Z

Source-reported events for the cited work

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Observation 601f646c-4f78-4781-8a0d-ba13c52e6856 · outbound

This paper cites Enhancing LLMs' Clinical Reasoning with Real-World Data from a Nationwide Sepsis Registry.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Enhancing LLMs' Clinical Reasoning with Real-World Data from a Nationwide Sepsis Registry

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:40:16.829938Z

Source-reported events for the cited work

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Observation 6afc9b05-c40c-40cf-896b-767efb14c6d5 · outbound

This paper cites Med-r1: Reinforce- ment learning for generalizable medical reasoning in vision-language models.arXiv preprint arXiv:2503.13939, 2025.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Med-r1: Reinforce- ment learning for generalizable medical reasoning in vision-language models.arXiv preprint arXiv:2503.13939, 2025

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:08.591865Z

Source-reported events for the cited work

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Observation 4e93ba54-3132-4bc9-b709-d718fdab05db · outbound

This paper cites ClinicalGPT-R1: Pushing reasoning capability of generalist disease diagnosis with large language model.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning ClinicalGPT-R1: Pushing reasoning capability of generalist disease diagnosis with large language model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:08.713290Z

Source-reported events for the cited work

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Observation 2fa7090f-a704-4064-b023-1af0552eff29 · outbound

This paper cites Rlaif vs.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Rlaif vs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:08.886612Z

Source-reported events for the cited work

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Observation 2975b656-7471-4252-88d4-89164de1da41 · outbound

This paper cites A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs).

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:09.003800Z

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Observation 94c35891-3a53-4a1c-a2bf-6535222ead76 · outbound

This paper cites Cls-rl: Image classifica- tion with rule-based reinforcement learning.arXiv preprint arXiv:2503.16188, 2025.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Cls-rl: Image classifica- tion with rule-based reinforcement learning.arXiv preprint arXiv:2503.16188, 2025

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:09.163179Z

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Observation 441e5fc8-9d7d-4e00-a28d-9e403f6397ce · outbound

This paper cites Rec-r1: Bridging generative large language mod- els and user-centric recommendation systems via reinforcement learning.arXiv preprint arXiv:2503.24289, 2025.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Rec-r1: Bridging generative large language mod- els and user-centric recommendation systems via reinforcement learning.arXiv preprint arXiv:2503.24289, 2025

Reference 27

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Observation df6f4c4f-8547-405f-9a7c-128c6944d21e · outbound

This paper cites Panacea: A foundation model for clinical trial search, summarization, design, and recruitment.medRxiv, pages 2024–06, 2024.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Panacea: A foundation model for clinical trial search, summarization, design, and recruitment.medRxiv, pages 2024–06, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:23.004693Z

Source-reported events for the cited work

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Observation bf925afc-28e4-41b7-8cb3-7827c2d4e9dc · outbound

This paper cites Pisces: A cross-modal contrastive learning approach to synergistic drug combination prediction.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Pisces: A cross-modal contrastive learning approach to synergistic drug combination prediction

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:22.734561Z

Source-reported events for the cited work

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Observation 77f82f1d-90bb-424d-ad69-2b7662b4c4cf · outbound

This paper cites ReFT: Reasoning with Reinforced Fine-Tuning.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning ReFT: Reasoning with Reinforced Fine-Tuning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:09.774303Z

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Observation 747e0839-1ec3-49c4-b4f8-1e95d895c7b6 · outbound

This paper cites Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:09.933663Z

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Observation 05492bca-953b-45f2-ba62-608ce5783f72 · outbound

This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 32

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Observation 15441b47-519d-44f8-b74b-2f1a43c0cf99 · outbound

This paper cites Can generalist foundation models outcompete special-purpose tuning? case study in medicine.Medicine, 84(88.3):77–3, 2023.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Can generalist foundation models outcompete special-purpose tuning? case study in medicine.Medicine, 84(88.3):77–3, 2023

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:22.511312Z

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Observation d30ad90a-484b-4757-8c9b-68502463b61d · outbound

This paper cites Openai o3-mini.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Openai o3-mini

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:22.359460Z

Source-reported events for the cited work

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Observation 4cb3e704-503c-471f-aa35-5a853328c76e · outbound

This paper cites an unresolved cited work.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:10.395468Z

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Observation f1baf4f4-88fa-417e-9e9b-0245d92c04ff · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:10.512776Z

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Observation e539073f-d59f-4e20-8372-62e44b4d1d5b · outbound

This paper cites Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:10.620491Z

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Observation ea8fe538-4e8d-4330-8df7-7642bab30f10 · outbound

This paper cites MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:10.729078Z

Source-reported events for the cited work

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Observation a5658105-bbc9-4f79-9842-5336daec8d31 · outbound

This paper cites LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:10.817997Z

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Unavailable: canonical work link unavailable.

Observation a6d1740c-1ff0-4826-a24e-ffe0f51b25dc · outbound

This paper cites Open-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Open-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:10.939828Z

Source-reported events for the cited work

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Observation 89a6aaa2-52c3-446e-bdf2-aba93ce4177a · outbound

This paper cites Manning, and Chelsea Finn.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Manning, and Chelsea Finn

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:11.066282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41a07926-025e-42f1-ac89-d8f46f86f932 · outbound

This paper cites Overview of the trec 2021 clinical trials track.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Overview of the trec 2021 clinical trials track

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:22.244817Z

Source-reported events for the cited work

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Observation ef5a72be-b684-48ee-bdcb-77fea2b15e24 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:11.264725Z

Source-reported events for the cited work

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Observation 696f8fb7-b375-40b8-9f4d-88b6a322a84b · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:11.414091Z

Source-reported events for the cited work

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Observation cdcc5a0b-5908-41c5-bf23-98b54e24d8f8 · outbound

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

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning HybridFlow: A Flexible and Efficient RLHF Framework

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:11.531409Z

Source-reported events for the cited work

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Observation 54a5c2ea-eec3-4fa9-9a1d-cce29d0c827d · outbound

This paper cites Large language models encode clinical knowledge.Nature, 620(7972):172–180, 2023.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Large language models encode clinical knowledge.Nature, 620(7972):172–180, 2023

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:11.665979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a7dded0-d419-47c2-9967-0ad3bdb0274f · outbound

This paper cites Toward expert-level medical question answering with large language models.Nature Medicine, pages 1–8, 2025.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Toward expert-level medical question answering with large language models.Nature Medicine, pages 1–8, 2025

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:22.139607Z

Source-reported events for the cited work

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Observation 8e4dc3a9-b1cb-43b2-bfe1-a9e3461b421e · outbound

This paper cites R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:11.914141Z

Source-reported events for the cited work

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Observation cd557f50-9eff-4477-9534-8923451c3e2e · outbound

This paper cites GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:12.027646Z

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Observation 645593a1-35a9-47e3-9965-95a705d71bbf · outbound

This paper cites Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:12.121976Z

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Observation 72ca7834-9d41-4ad0-9926-1b3fb3afe746 · outbound

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

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:12.244157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13ca0bb1-7e27-4cd9-a282-2bb9402481cf · outbound

This paper cites Yet another ICU benchmark: A flexible multi-center framework for clinical ML.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Yet another ICU benchmark: A flexible multi-center framework for clinical ML

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:21.914155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c12f8d70-63dd-4ca7-adbe-2b50f4f32d0b · outbound

This paper cites Drg-llama: tuning llama model to predict diagnosis-related group for hospitalized patients.npj Digital Medicine, 7(1):16, 2024.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Drg-llama: tuning llama model to predict diagnosis-related group for hospitalized patients.npj Digital Medicine, 7(1):16, 2024

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:21.641415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9a51b7fa-1c5c-49d7-92f2-0c1a3ea56ff4 · outbound

This paper cites Reinforcement Learning for Reasoning in Large Language Models with One Training Example.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:12.554505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1ddffc4-6a31-42d1-9fad-801d8cd29507 · outbound

This paper cites Ehrshot: An ehr benchmark for few-shot evaluation of foundation models.Advances in Neural Information Processing Systems, 36:67125–67137, 2023.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Ehrshot: An ehr benchmark for few-shot evaluation of foundation models.Advances in Neural Information Processing Systems, 36:67125–67137, 2023

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:12.648627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a76b5e70-0439-4c0a-aa4e-d73a821e1bfa · outbound

This paper cites The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:12.766149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15631cde-5f52-4257-aac4-7dd590444ca3 · outbound

This paper cites PathVLM-R1: A Reinforcement Learning-Driven Reasoning Model for Pathology Visual-Language Tasks.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning PathVLM-R1: A Reinforcement Learning-Driven Reasoning Model for Pathology Visual-Language Tasks

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:12.932030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b08205ac-ba61-43a9-a7d5-dbcb2efed3b2 · outbound

This paper cites Sailing by the Stars: A Survey on Reward Models and Learning Strategies for Learning from Rewards.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Sailing by the Stars: A Survey on Reward Models and Learning Strategies for Learning from Rewards

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:13.070016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5edff52-49fb-4c3a-87aa-6758030fa9da · outbound

This paper cites Instruction tuning large language models to understand electronic health records.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Instruction tuning large language models to understand electronic health records

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:21.445973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0f342469-489a-4218-8dc4-7051792f570d · outbound

This paper cites Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:13.347732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84b1490f-7a21-4bb0-a6b9-faf8d27154c5 · outbound

This paper cites Qwen3 technical report, 2025.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Qwen3 technical report, 2025

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:21.277106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c2a96cf-38b2-41b9-9ea6-59fc39a26ca3 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:13.610491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c42987b4-5995-4040-8344-5dd7c2152bac · outbound

This paper cites Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:13.760606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f092779-c71c-4252-97c3-7069f5184840 · outbound

This paper cites Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:13.873620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c36a95e-4922-4f60-ac37-678ff6b83b2e · outbound

This paper cites Details are provided in Section F.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Details are provided in Section F

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:21.135687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b3e4d5c4-aeb4-4a14-ae2a-36027c04532f · outbound

This paper cites an unresolved cited work.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:21.008685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 89263a09-dd93-48a7-9451-70723d27474b · outbound

This paper cites See Section F.3.4.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning See Section F.3.4

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:20.770263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7f6da25b-063a-4bec-bcc1-748d665d2a26 · outbound

This paper cites Given a dose of Drug A, what is the equivalent dose of Drug B?.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Given a dose of Drug A, what is the equivalent dose of Drug B?

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:20.562596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f082de1-aab8-42ea-9684-4b33f0fe3537 · outbound

This paper cites an unresolved cited work.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:20.376274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4180e1d6-005e-4cd2-8e52-377b263abc24 · outbound

This paper cites an unresolved cited work.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:20.075209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1538b0e0-2b9b-47d7-9e2e-13491bcfa142 · outbound

This paper cites Key Considerations: - Carefully evaluate each inclusion and exclusion criterion individually.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Key Considerations: - Carefully **evaluate each inclusion and exclusion criterion individually**

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:19.826437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 78876dcd-e8c1-425c-9b11-9bb14550e8ad · outbound

This paper cites an unresolved cited work.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:19.596276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1f7bfa90-eef2-488c-b6be-8211fe1cac03 · outbound

This paper cites The reasoning should be comprehensive, medically sound, and clearly explain how the patient’s information leads to the predicted outcome.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning The reasoning should be comprehensive, medically sound, and clearly explain how the patient’s information leads to the predicted outcome

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:19.047445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 387b5318-5e61-4ea8-83b0-442d1ce234c6 · outbound

This paper cites an unresolved cited work.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:18.784235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e44305c-dc9b-472a-a6dd-159556210ead · outbound

This paper cites Very Confident.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Very Confident

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:18.288998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 92b791e6-2377-437c-a8b9-e4c34729e477 · outbound

This paper cites an unresolved cited work.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:18.047633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7b2ca135-5919-404b-be3d-7db4b0520553 · outbound

This paper cites an unresolved cited work.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:19.322411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 194b7b38-6e3b-4078-b552-77fe310ea1e4 · outbound

This paper cites The reasoning should be comprehensive, medically sound, and clearly explain how the patient’s information leads to the predicted outcome.

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:17.796523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e146c0a-7796-4a19-8648-cd5cd0d43b6b · outbound

This paper cites an unresolved cited work.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:17.503210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0b633e40-d006-4f11-9604-1435024ec891 · outbound

This paper cites an unresolved cited work.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:18.546105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 72c93ba4-f781-4338-a665-c3c17665769b · outbound

This paper cites Very Confident.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Very Confident

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:17.248724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 7e1fa655-5f32-4f99-853b-347455265ae0 · 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 Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning

Reference 170

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:34.643403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 415c1475-4b7f-4c82-8317-a9fc9300d54b · inbound

Scalable Stewardship of an LLM-Assisted Clinical Benchmark with Physician Oversight cites this paper.

Scalable Stewardship of an LLM-Assisted Clinical Benchmark with Physician Oversight Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:23:23.350397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 336f4c34-8c09-48f6-abde-99a5db98e613 · inbound

From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning Environments cites this paper.

From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning Environments Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning

Reference 183

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:23:27.263072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.