Paper Citation Record · LEDGER

Baichuan-M1: Pushing the Medical Capability of Large Language Models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2502.12671.

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

pith.paper-citation-record.v1
2502.12671 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:50:14.873675Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

5
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f44404ee-5c10-44a5-ab6e-c51efd405a1d · inbound

Baichuan-M2: Scaling Medical Capability with Large Verifier System cites this paper.

Baichuan-M2: Scaling Medical Capability with Large Verifier System Baichuan-M1: Pushing the Medical Capability of Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T11:50:14.873675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9535c2f1-5b06-4b78-abc4-f7f02777645e · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models Baichuan-M1: Pushing the Medical Capability of Large Language Models

Reference 220

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:05:31.561021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c55990dd-9a5b-42a4-8dcf-83f9fbe71f54 · inbound

Explore-Execute Chain: Towards an Efficient Structured Reasoning Paradigm cites this paper.

Explore-Execute Chain: Towards an Efficient Structured Reasoning Paradigm Baichuan-M1: Pushing the Medical Capability of Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T14:44:39.089985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 585dcfb9-e992-4cfd-8698-4b40685751e2 · inbound

LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning cites this paper.

LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning Baichuan-M1: Pushing the Medical Capability of Large Language Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:57:46.891766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation da414913-740e-464d-849d-da37cbc2a45b · inbound

Medical Reasoning with Large Language Models: A Survey and MR-Bench cites this paper.

Medical Reasoning with Large Language Models: A Survey and MR-Bench Baichuan-M1: Pushing the Medical Capability of Large Language Models

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:25:26.728672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f38b78ed-2885-47fc-ae34-a7f13f8d2187 · inbound

ReMedi: Reasoner for Medical Clinical Prediction cites this paper.

ReMedi: Reasoner for Medical Clinical Prediction Baichuan-M1: Pushing the Medical Capability of Large Language Models

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:01:05.957725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ab353cb3-1a55-468d-913c-5a3e4140a5c9 · inbound

Active Evidence-Seeking and Diagnostic Reasoning in Large Language Models for Clinical Decision Support cites this paper.

Active Evidence-Seeking and Diagnostic Reasoning in Large Language Models for Clinical Decision Support Baichuan-M1: Pushing the Medical Capability of Large Language Models

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:21:09.827940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0473e41a-7228-4f95-9922-bb1f39554082 · inbound

Baichuan-M4: A Clinical-Grade Medical Agent System for Continuous Care cites this paper.

Baichuan-M4: A Clinical-Grade Medical Agent System for Continuous Care Baichuan-M1: Pushing the Medical Capability of Large Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-27T17:01:07.405226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 86790bd6-1927-4b57-b1de-4ea40e15a410 · inbound

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA cites this paper.

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA Baichuan-M1: Pushing the Medical Capability of Large Language Models

Reference 273

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T09:47:59.539047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0a32dd11-ef7b-4842-8e11-e126b9b56d06 · inbound

RareDxR1: Autonomous Medical Reasoning for Rare Disease Diagnosis Beyond Human Annotation cites this paper.

RareDxR1: Autonomous Medical Reasoning for Rare Disease Diagnosis Beyond Human Annotation Baichuan-M1: Pushing the Medical Capability of Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:27:18.622200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ee9913fe-b9c7-41fb-a1bd-c04ed2130312 · 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 Baichuan-M1: Pushing the Medical Capability of Large Language Models

Reference 105

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T18:57:31.516474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.