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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2501.09213.

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

pith.paper-citation-record.v1
2501.09213 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:24.782003Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:37:36.750097Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8e0f9c04-a308-4aa7-ab73-06a7f94f0cf9 · inbound

DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models cites this paper.

DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:24.782003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:24.782003Z digest=sha256:8d7c7daf22976354c447639d78d85b809a8f97224b3b3216a56401635c18c661

Observation 8aa50367-b97b-4643-ab22-b3351f0a2e56 · inbound

Improving Medical Reasoning with Curriculum-Aware Reinforcement Learning cites this paper.

Improving Medical Reasoning with Curriculum-Aware Reinforcement Learning FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:24:42.536609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:24:42.536609Z digest=sha256:7edc78cd09de2ef30e143a7f8da1c06004e248b61e80747b4dda37c3b2910c6d

Observation 0fa1eb0f-0c63-4a2e-97db-e2b700904a24 · inbound

One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL cites this paper.

One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T11:30:40.394611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:30:40.394611Z digest=sha256:6c0cf479a7f69f85f24c0c2370dea6a18c8cc9ffcb31a13f68731e005410c4eb

Observation 589595c2-21f7-4948-a720-d00509f74398 · inbound

How Far Are We from Optimal Reasoning Efficiency? cites this paper.

How Far Are We from Optimal Reasoning Efficiency? FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T05:49:39.978220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:49:39.978220Z digest=sha256:40f59ae6452aa6e03f104146e6c863b86c7e45a2aa04a8533512a544a6df65d6

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

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning cites this paper.

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.

source=arxiv_source observed=2026-08-07T00:59:14.414021Z digest=sha256:1eff50cb230797145c3912f6b35e1e001ae7f88229ac9a73497954ac656d0e94

Observation b68d1c48-b338-4ae1-9e42-71effcc1a3cc · inbound

MediQAl: A French Medical Question Answering Dataset for Knowledge and Reasoning Evaluation cites this paper.

MediQAl: A French Medical Question Answering Dataset for Knowledge and Reasoning Evaluation FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:10:44.683013Z

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.

source=pdf_text observed=2026-05-21T23:10:38.936021Z digest=sha256:6ad630253e7b2454b0f7f816002f93674463f386cdbcd496052f62eeaf868f7f

Observation 35d7832c-3324-4752-a447-f3e56a5cd410 · inbound

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach cites this paper.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T05:37:35.292749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:37:35.292749Z digest=sha256:2100798c03592254dac59f8ac90c5f1fb7fe4f4c41e0d9ddbfd499aa027f86a8

Observation dc6f6681-9272-40e0-b77f-0dc069eb3165 · inbound

Organ-Agents: Virtual Human Physiology Simulator via LLMs cites this paper.

Organ-Agents: Virtual Human Physiology Simulator via LLMs FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T18:40:21.383017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:40:21.383017Z digest=sha256:11310ea4591405f0594c79810a15b19f476b4d59f6fbe582c24cafbe7bd310e9

Observation 43b5f8b9-8e61-4b7c-8c6c-198a7f4189aa · inbound

CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts cites this paper.

CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-04T10:40:49.493709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:40:49.493709Z digest=sha256:83a7075f614170e3d98236c1cb0044a5261c4e19106ac58661177f4bc305ff11

Observation ab994c88-ec71-4ee0-8654-5601d000babc · inbound

MixRea: Benchmarking Explicit-Implicit Reasoning in Large Language Models cites this paper.

MixRea: Benchmarking Explicit-Implicit Reasoning in Large Language Models FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:13:03.524133Z

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.

source=arxiv_source observed=2026-05-20T05:10:24.654571Z digest=sha256:23d07b5ea270f2434621b6a6fa6e7343c931c590cf97d93506ba0422a1555fec

Observation ae367661-7b9d-4469-9b47-dc1277fb8389 · inbound

Supervised Fine-tuning with Synthetic Rationale Data Hurts Real-World Disease Prediction cites this paper.

Supervised Fine-tuning with Synthetic Rationale Data Hurts Real-World Disease Prediction FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:37:36.751667Z

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.

source=arxiv_source observed=2026-06-27T13:48:39.832057Z digest=sha256:8ba5d6e5f77f21903bef0d3e6db305c40a99b77ec449c923235fcc743760e2cd

Observation 6624ec0a-6c62-4ac7-ba6e-8f46ba457946 · inbound

MetaboLLM: a metabolomics-specialized large language model for biochemical knowledge integration and predictive metabolite graph construction cites this paper.

MetaboLLM: a metabolomics-specialized large language model for biochemical knowledge integration and predictive metabolite graph construction FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:35.888403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:35.888403Z digest=sha256:2d789c6b11f901818fce94772508ec3e222f931a610dfecef01ade1caa4eaafa