Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Baichuan-M1: Pushing the Medical Capability of Large Language Models
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2502.12671.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:24.011816Z
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 4c32e658-c443-46e1-aeed-e7fb5d426ae3 · inbound
DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models cites this paper.
DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models Baichuan-M1: Pushing the Medical Capability of Large Language Models
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:42:24.011816Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24bfe449-e53f-4e0d-aec2-224d75561c5e · inbound
Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making cites this paper.
Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making Baichuan-M1: Pushing the Medical Capability of Large Language Models
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:33:41.740417Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc62cba1-e802-4c56-b8a4-ee65af2ba0d0 · inbound
MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine cites this paper.
MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine Baichuan-M1: Pushing the Medical Capability of Large Language Models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:50:54.521576Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b767e79-e982-48ca-88df-c7d3b82bbd83 · inbound
VerIF: Verification Engineering for Reinforcement Learning in Instruction Following cites this paper.
VerIF: Verification Engineering for Reinforcement Learning in Instruction Following Baichuan-M1: Pushing the Medical Capability of Large Language Models
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:43:21.144848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00bfc95d-4598-4802-a203-d9aea1a245c1 · inbound
MedBLINK: Probing Basic Perception in Multimodal Language Models for Medicine cites this paper.
MedBLINK: Probing Basic Perception in Multimodal Language Models for Medicine Baichuan-M1: Pushing the Medical Capability of Large Language Models
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:50:45.273861Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a394206b-0e39-40f7-87ad-60d348ebc3e9 · inbound
CX-Mind: A Pioneering Multimodal Large Language Model for Interleaved Reasoning in Chest X-ray via Curriculum-Guided Reinforcement Learning cites this paper.
CX-Mind: A Pioneering Multimodal Large Language Model for Interleaved Reasoning in Chest X-ray via Curriculum-Guided Reinforcement Learning Baichuan-M1: Pushing the Medical Capability of Large Language Models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:00:49.851196Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.