Paper Citation Record · LEDGER

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization

As of 19 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2504.18080.

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

pith.paper-citation-record.v1
2504.18080 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:28:11.158639Z

measured 42 of 42 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T04:32:16.930291Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:11:23.712115Z

Reference resolution

41 of 41 outbound references displayed

verified exact2
verified fuzzy4
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 73b2b576-4d87-421c-b95f-bf107ef1ed77 · outbound

This paper cites Superhuman performance of a large language model on the reasoning tasks of a physician.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Superhuman performance of a large language model on the reasoning tasks of a physician

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.006071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98110f26-a7fc-47bf-a384-64c93f1bf09c · outbound

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

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.010868Z

Source-reported events for the cited work

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Observation 73d05cbc-4d28-44e1-a33b-8e24486b64ac · outbound

This paper cites MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.015505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10d34416-f6c7-421b-b9d6-3a57d230530a · outbound

This paper cites Beyond fine-tuning: Unleashing the potential of continuous pretraining for clinical LLM s.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Beyond fine-tuning: Unleashing the potential of continuous pretraining for clinical LLM s

Reference 4

Resolution: verified exact; doi, observed 2026-08-16T10:28:11.447147Z

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.

Observation 24ed6c3b-ce00-4dd1-99df-09b563b1a13d · outbound

This paper cites Towards a Personal Health Large Language Model.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Towards a Personal Health Large Language Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.023518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6092b268-ad98-440c-9cee-d7759edc8355 · outbound

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

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.027707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 457ee354-005e-4c35-a054-5570fb6d34c9 · outbound

This paper cites The case for 4-bit precision: k-bit Inference Scaling Laws.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization The case for 4-bit precision: k-bit Inference Scaling Laws

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.032102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c58a6b2-b601-4b17-87fb-29f5ff648528 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Qlora: Efficient finetuning of quantized llms

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.035791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 917fb95d-8361-484a-a09e-1918df96bef9 · outbound

This paper cites Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.039320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19c99389-363b-4da0-ad6c-b4fc0e67369e · outbound

This paper cites The Llama 3 Herd of Models.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization The Llama 3 Herd of Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.043167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81d060c2-dbc1-4d9e-8c77-a889a1d130e7 · outbound

This paper cites an unresolved cited work.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.047103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3060ebd3-1cd8-4034-b2f2-352701584d4b · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Measuring Massive Multitask Language Understanding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.050549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c921b51-133c-41f9-a97d-a26f3cec6eab · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization LoRA: Low-Rank Adaptation of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.054338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c261eda-d21e-4720-adf2-46af41367546 · outbound

This paper cites JMedBench: A Benchmark for Evaluating Japanese Biomedical Large Language Models.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization JMedBench: A Benchmark for Evaluating Japanese Biomedical Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.057854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.061879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca91b0bb-b531-42d0-bbad-1c23b7753a27 · outbound

This paper cites P ub M ed QA : A dataset for biomedical research question answering.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization P ub M ed QA : A dataset for biomedical research question answering

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.065840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb7c69c1-495e-4a23-b7b0-3af71d1f3876 · outbound

This paper cites An evaluation framework for clinical use of large language models in patient interaction tasks.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization An evaluation framework for clinical use of large language models in patient interaction tasks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:28:11.627980Z

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.

Observation 48b23760-3ce1-4fc0-8875-80697cb08a23 · outbound

This paper cites MEDIC: Comprehensive Evaluation of Leading Indicators for LLM Safety and Utility in Clinical Applications.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization MEDIC: Comprehensive Evaluation of Leading Indicators for LLM Safety and Utility in Clinical Applications

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.073411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b748f13-a5e6-4a0c-ba0e-904bb31ace17 · outbound

This paper cites Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.077396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73cb7e17-8456-4916-863a-c19e0428d06a · outbound

This paper cites Medical Hallucinations in Foundation Models and Their Impact on Healthcare.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Medical Hallucinations in Foundation Models and Their Impact on Healthcare

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.081154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f15475b9-a3b8-44c3-a75f-052992fea374 · outbound

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

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization ReFT: Reasoning with Reinforced Fine-Tuning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.084518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98a9ab13-58b5-4882-b961-1ad3d3c2f96c · outbound

This paper cites Radlink: Linking clinical entities from radiology reports.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Radlink: Linking clinical entities from radiology reports

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:28:11.616832Z

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.

Observation b1b65886-20a3-42e7-9f14-eed8dcb70513 · outbound

This paper cites Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.091968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f8dc36a-7d12-4725-9937-29c4223836e0 · outbound

This paper cites Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.095769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31daaaa7-af17-491b-a9cb-9bf932f12744 · outbound

This paper cites From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.099070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72b9065e-cbe2-47b3-a690-5043ba97eb17 · outbound

This paper cites openai/MMMLU , 2024.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization openai/MMMLU , 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:28:11.606432Z

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.

Observation 8105fb90-7260-4de8-bf8d-5d87853ef6f3 · outbound

This paper cites GPT-4o System Card.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization GPT-4o System Card

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.107627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e88db10-a75a-416c-959b-26fb15c1070b · outbound

This paper cites Training language models to follow instructions with human feedback.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Training language models to follow instructions with human feedback

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.111525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90ebc75e-2d21-4aa1-ab54-f6d02fbe2b3f · outbound

This paper cites MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering.

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.

Observation a12ed395-812b-4182-b83d-ddb8330022a0 · outbound

This paper cites Iterative Reasoning Preference Optimization.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Iterative Reasoning Preference Optimization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.118774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1e73f53-7ab7-4ef8-9e3a-f2f32623bc35 · outbound

This paper cites PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:28:11.225598Z

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.

Observation 76b0664a-0ccf-48f5-9665-455016c42998 · outbound

This paper cites Qwen2.5 Technical Report.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Qwen2.5 Technical Report

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.126407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77f88661-dd29-4745-9d94-a600beb808dc · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.129935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bd2fa28-c7df-427d-84d2-3e52dcf5aabf · outbound

This paper cites Capabilities of Gemini Models in Medicine.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Capabilities of Gemini Models in Medicine

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.133508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523c3ae4-07c3-431e-84ca-17c0ca95756d · outbound

This paper cites Toward expert-level medical question answering with large language models.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Toward expert-level medical question answering with large language models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.137385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a38297a-6470-4172-8e5f-cea04e9e3511 · outbound

This paper cites Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resources.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resources

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.140703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f7c7534-552b-4cc9-b1e7-63a1b779ac28 · outbound

This paper cites 70B-parameter large language models in Japanese medical question-answering.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization 70B-parameter large language models in Japanese medical question-answering

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.144236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb5034e7-d180-48f5-88a7-8867bba2d594 · outbound

This paper cites Towards conversational diagnostic artificial intelligence.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Towards conversational diagnostic artificial intelligence

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:28:11.582356Z

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.

Observation 7becc1bc-dc26-40de-92e7-45a1ff2c6117 · outbound

This paper cites Adapted large language models can outperform medical experts in clinical text summarization.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Adapted large language models can outperform medical experts in clinical text summarization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.151512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c348976a-fe2c-4d1f-9b59-55dc43f7fabc · outbound

This paper cites A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.154915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5da5b1f8-702f-43bc-a4f8-3ac543734e9a · outbound

This paper cites HuatuoGPT, towards Taming Language Model to Be a Doctor.

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization HuatuoGPT, towards Taming Language Model to Be a Doctor

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:11.158639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 6a795170-6248-4603-bd60-8e1386c46c69 · inbound

CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics cites this paper.

CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:11:23.714985Z

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.