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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 9 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 2026-08-09T06:31:02.800959+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:c1f888fc86269e892a10d85bdfbb88d7f07662f927b83bf2210ee18095d1e2c1

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:bd635a9c44562913e866f4116daa0b16501ee03756c0e4d41e3bfcacc55e99c4

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:ce96c41af8e51962e15a8d3a440f1716e49ada9582f6cd82d777ed7fb433bfd8

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=sha256:552b8a09530f717add07e976c2570924fdae221de62bf02da71e3b652bd74c79

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=sha256:5ecb4676d42f4b6c1d98d6c25151a5264debff5486b620b76c2a997c33e004a1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T23:10:38.936021Z digest=sha256:ade5b8c33324ac05e0df3baa360ebf86b7eeddb6c1c266d7d2466a5db0a1491a

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:b35d62b52cf3b2f83503d2fd2f2b133a881eed8b7349391b8a136203f2c80271

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=sha256:29ecfe162d6236955681a1cc27288d4f298b9756c50261a13c1272b023d10501

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=sha256:31bf4e6ebc3eb4be63966d2487ae328bc3e56f5e3ad72fc86dfd9977942fd533

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T05:10:24.654571Z digest=sha256:2134a2d2a2f7efc26a9529a46dccd9e9e09f23595683a272d052c6e12005e024

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T13:48:39.832057Z digest=sha256:0b26a78f4d4b4c3e4f6eaed7c82a61279c0542a306fd7e810a34118621fd9260

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=sha256:27df4e83e74393167cf68e1564ca6dc5d93c2ba220bbb1febb17e7dc4baf2610