Paper Citation Record · LEDGER

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 2 inbound Pith citation observations for arXiv:2506.12307.

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

pith.paper-citation-record.v1
2506.12307 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:59:15.598200Z

measured 36 of 36 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T18:50:22.827472Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T18:57:31.625203Z

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy0
unresolved34
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8401f3de-baca-447b-856d-a4ace2fbfc4b · outbound

This paper cites Phi-4-reasoning Technical Report.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Phi-4-reasoning Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:09.833831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 056a1ff2-d7cc-4709-ac9a-4ec2702727da · outbound

This paper cites L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:10.081098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04de581b-a237-43cd-9123-0c3a50d17f75 · outbound

This paper cites an unresolved cited work.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:59:17.921380Z

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 31c6dc5b-2677-45d6-9443-ebba305728e6 · outbound

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

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:10.422171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99af1e2b-ddad-407c-9840-1d3933616316 · outbound

This paper cites an unresolved cited work.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:59:17.579025Z

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 1e43fd60-59c2-4faf-b2ea-d4f8eb9dcba4 · outbound

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

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:10.772605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb78a099-e268-46bb-9a19-9a1792162fef · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:10.949543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46322889-addc-4d97-9840-264a60c2d1f8 · outbound

This paper cites an unresolved cited work.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:11.183268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84c77575-cc46-4928-8c8f-384b66d037ee · outbound

This paper cites O1 Replication Journey -- Part 3: Inference-time Scaling for Medical Reasoning.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning O1 Replication Journey -- Part 3: Inference-time Scaling for Medical Reasoning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:11.360197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f783802-b219-495c-8450-3daf0ed02b0e · outbound

This paper cites OpenAI o1 System Card.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning OpenAI o1 System Card

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:11.506088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e8a4fb8-8f3b-430a-9ee1-a147d52dc6c2 · outbound

This paper cites Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:11.712948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7a337e5-a406-4d6d-9a74-1117d2153a68 · outbound

This paper cites an unresolved cited work.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:59:17.299351Z

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 f2db5fb0-5f05-4ff8-89c2-03d53c708fd5 · outbound

This paper cites an unresolved cited work.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:12.084690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f49c605-4ba8-4fb4-a4b2-360e9411bd1d · outbound

This paper cites an unresolved cited work.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:59:17.023940Z

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 fc937c5d-b53c-43e1-a2de-5cce7ee5bb53 · outbound

This paper cites an unresolved cited work.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:12.353500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb20ba7a-af7f-4a4d-a0b5-5d4b83a6c639 · outbound

This paper cites an unresolved cited work.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:12.490526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac93fe8b-42b7-47d1-9945-99ab4958ccc8 · outbound

This paper cites MedCoT: Medical Chain of Thought via Hierarchical Expert.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning MedCoT: Medical Chain of Thought via Hierarchical Expert

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:12.703977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe447467-8de9-422f-aeff-768cf53608a1 · outbound

This paper cites s1: Simple test-time scaling.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning s1: Simple test-time scaling

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:12.896460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3687db58-cecc-43ed-9611-cae57eb00cdf · outbound

This paper cites an unresolved cited work.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:13.028033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51bedf58-c688-4b4a-bf4c-49668a85f01e · outbound

This paper cites Proximal Policy Optimization Algorithms.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:13.211229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5688dbab-e7b8-4dbe-9205-a259ecfb5437 · outbound

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

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:13.346100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b442089-496d-4b5a-98ed-c8938c82a44c · outbound

This paper cites A Long Way to Go: Investigating Length Correlations in RLHF.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning A Long Way to Go: Investigating Length Correlations in RLHF

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:13.509910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bd87863-1112-4f2b-bd04-c846b5b0315b · outbound

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

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:13.702592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d0c47de-a844-4976-bfd7-516e04eb9b0e · outbound

This paper cites an unresolved cited work.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:59:16.734469Z

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 7cdb5a5a-7032-4b64-a3a9-134e3745bd11 · outbound

This paper cites an unresolved cited work.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:14.069904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3313ee2-93db-4c35-9ba7-ea55de94f989 · outbound

This paper cites Qwen2.5 Technical Report.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Qwen2.5 Technical Report

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:14.261785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41080bab-eecf-4ffd-a170-102d4a00c6d1 · outbound

This paper cites FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:14.414021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae500814-b1e4-4faa-bb52-f6f79ade8617 · outbound

This paper cites Following Length Constraints in Instructions.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Following Length Constraints in Instructions

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:14.613450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f95b5e92-aa72-4268-aa69-ba3242d98517 · outbound

This paper cites an unresolved cited work.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:59:16.451830Z

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 6e31e4cb-653f-425f-867c-c7a1b88411bb · outbound

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

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:14.911209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85f4c374-610f-4f6c-b165-40700cb6eb05 · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:15.080266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b21cae6e-9d43-4d4a-81f2-714733e39145 · outbound

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

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:15.260193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ce861ae-a985-4971-9f30-cdaa5fb58be6 · outbound

This paper cites online" 'onlinestring :=.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning online" 'onlinestring :=

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:15.435680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 092f3c12-39f9-4ef5-9958-81a71dc70da8 · outbound

This paper cites write newline.

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning write newline

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:15.598200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7d7bdbbb-83c5-4a6f-9d9d-56823e545fba · 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 Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning

Reference 18

Resolution: malformed identifier; arxiv_id, observed 2026-05-16T20:23:23.811816Z

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 cfa7d1cf-2e59-4fb1-8a59-84a31d1fb65d · inbound

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning cites this paper.

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning

Reference 104

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T18:57:31.626465Z

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.