Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T11:50:19.083307Z
Paper Citation Record · LEDGER
Baichuan-M2: Scaling Medical Capability with Large Verifier System
As of 5 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 18 inbound Pith citation observations for arXiv:2509.02208.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T17:44:10.546431Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
89 of 89 outbound references displayed
- verified exact3
- verified fuzzy18
- unresolved67
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
1
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 24979708-518e-4798-a78a-3f70a03f6983 · outbound
This paper cites Healai: A healthcare LLM for effective medical documentation.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Healai: A healthcare LLM for effective medical documentation
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:12.763390Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bce8608-c23f-4946-aee9-e7e7f242abdc · outbound
This paper cites Evalu- ating the feasibility of chatgpt in healthcare: An analysis of multiple clinical and research scenarios.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Evalu- ating the feasibility of chatgpt in healthcare: An analysis of multiple clinical and research scenarios
Reference 2
- Resolution
- verified exact
- doi, observed 2026-08-05T11:50:19.384234Z
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 ad533059-d7ce-4e54-983d-3cfc11361cbc · outbound
This paper cites Intille, Nawar Shara, Guodong Gordon Gao, and Dakuo Wang.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Intille, Nawar Shara, Guodong Gordon Gao, and Dakuo Wang
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:12.997616Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 281d21d1-8ff1-4947-b757-d5b19d5a9f99 · outbound
This paper cites Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:13.102408Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a21652f2-81ee-4b2a-a4dc-b801b53c29d8 · outbound
This paper cites HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs.
Baichuan-M2: Scaling Medical Capability with Large Verifier System HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:13.189141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f78ad9d3-60fc-4dcb-b26f-02f267032f48 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Baichuan-M2: Scaling Medical Capability with Large Verifier System DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:13.311583Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26343ddc-6b3b-4e4b-9806-371bc8a10476 · outbound
This paper cites OpenAI o1 System Card.
Baichuan-M2: Scaling Medical Capability with Large Verifier System OpenAI o1 System Card
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:13.395762Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bb9cf90-41aa-4818-8f50-b1bdc8b5580c · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
Baichuan-M2: Scaling Medical Capability with Large Verifier System DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:13.454558Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 549784d4-6c80-41e7-8d93-d04aa5e7ef6f · outbound
This paper cites Introducing Claude 4.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Introducing Claude 4
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:13.516290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98dac733-fb5e-4619-aa7b-bf7f5c489e79 · outbound
This paper cites Kimi K2: Open Agentic Intelligence.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Kimi K2: Open Agentic Intelligence
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:13.679725Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb7d076f-c791-4013-81b2-01414f2a797d · outbound
This paper cites GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models.
Baichuan-M2: Scaling Medical Capability with Large Verifier System GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:13.741121Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7154a4ea-d055-4cc3-8ca0-7ca10732b4ad · outbound
This paper cites GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.
Baichuan-M2: Scaling Medical Capability with Large Verifier System GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:13.832529Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f1c1aac-32b0-4189-b902-427a6dc349ad · outbound
This paper cites Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:13.938222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 230b740f-c583-461a-b896-b8689cda83f2 · outbound
This paper cites Usmle scoring policies and score reporting guidelines 2024.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Usmle scoring policies and score reporting guidelines 2024
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:13.975076Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd54fb47-100f-4c44-a1d8-7d287e5556a0 · outbound
This paper cites HealthBench: Evaluating Large Language Models Towards Improved Human Health.
Baichuan-M2: Scaling Medical Capability with Large Verifier System HealthBench: Evaluating Large Language Models Towards Improved Human Health
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:14.076576Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b16da805-d488-4dfe-94d4-976aa2d2fb04 · outbound
This paper cites Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:14.163430Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 095a97c0-deb3-4550-a01f-eed63ea80cf9 · outbound
This paper cites Patient safety, what does clinical simulation and teaching innovation contribute? Medicina Intensiva (English Edition) , 49(3): 165–173, 2025.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Patient safety, what does clinical simulation and teaching innovation contribute? Medicina Intensiva (English Edition) , 49(3): 165–173, 2025
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:14.251701Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d588504-5118-4513-a8ca-2456c35c252e · outbound
This paper cites Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:14.313189Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 741cb088-7cbe-466e-ab40-c148bfaea9d9 · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:14.377597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b52a9a5-d438-4ef4-a326-3c27a576172a · outbound
This paper cites Consulting Psychologists Press Palo Alto, CA, 1962.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Consulting Psychologists Press Palo Alto, CA, 1962
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:14.412938Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f2a1dc4-e9df-4653-8286-8adfe9213afb · outbound
This paper cites Challenges and barriers of using large language models (llm) such as chatgpt for diagnostic medicine with a focus on digital pathology –a recent scoping review.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Challenges and barriers of using large language models (llm) such as chatgpt for diagnostic medicine with a focus on digital pathology –a recent scoping review
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:14.454064Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81c0e777-405c-4d61-a56e-7d64f96d1425 · outbound
This paper cites Baichuan4-Finance Technical Report.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Baichuan4-Finance Technical Report
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T11:50:19.252968Z
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 9ece75e4-0c15-45a2-a18b-569fe24f2afc · outbound
This paper cites The learnability of in-context learning.
Baichuan-M2: Scaling Medical Capability with Large Verifier System The learnability of in-context learning
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:14.678033Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 262a77df-7593-46d2-b169-d8fe64bae7d3 · outbound
This paper cites Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:14.742567Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdba38e9-6362-4081-a957-d3e8d6e4fb15 · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 25
- Resolution
- verified exact
- doi, observed 2026-08-05T11:50:19.233815Z
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 f44404ee-5c10-44a5-ab6e-c51efd405a1d · outbound
This paper cites Baichuan-M1: Pushing the Medical Capability of Large Language Models.
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 00cb921d-a5f9-48cb-bb24-aa308d865a77 · outbound
This paper cites Chi, Quoc V.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Chi, Quoc V
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:14.939950Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 896298e2-cb0e-46cb-a409-df7104d0f0de · outbound
This paper cites Large language models are zero-shot reasoners.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Large language models are zero-shot reasoners
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:15.064012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4a382c0-e9cb-45c3-a207-f2d3ca0d444d · outbound
This paper cites When More is Less: Understanding Chain-of-Thought Length in LLMs.
Baichuan-M2: Scaling Medical Capability with Large Verifier System When More is Less: Understanding Chain-of-Thought Length in LLMs
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:15.134731Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21170959-4026-4494-8926-3aa2e986e2c9 · outbound
This paper cites Baichuan alignment technical report.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Baichuan alignment technical report
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:15.224367Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1fe6eab-15f0-40f5-8929-c23d0836a5bd · outbound
This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.
Baichuan-M2: Scaling Medical Capability with Large Verifier System DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:15.374944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 895457da-205c-49d4-83ab-5b83db5c3284 · outbound
This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Understanding R1-Zero-Like Training: A Critical Perspective
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:15.430867Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50e93acf-8bf6-4d3f-9015-31108d5e5ade · outbound
This paper cites AIME problems and solutions, 2025.
Baichuan-M2: Scaling Medical Capability with Large Verifier System AIME problems and solutions, 2025
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.945408Z
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 902d103b-129b-4ca7-955a-454f89c18586 · outbound
This paper cites SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines.
Baichuan-M2: Scaling Medical Capability with Large Verifier System SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:15.601055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec37ee3b-aa83-4d9b-ae94-b346913cabbb · outbound
This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Understanding R1-Zero-Like Training: A Critical Perspective
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:15.550691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6326af1-e0f9-4191-a4e2-04bd455e6ecc · outbound
This paper cites Reinforcement Learning with Rubric Anchors.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Reinforcement Learning with Rubric Anchors
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:15.856760Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53d96970-d5c3-4493-a872-35f66a92d696 · outbound
This paper cites Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:15.945247Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e34f5fd-6db8-4e54-b2c2-4a3708ce024e · outbound
This paper cites MedxpertQA: Benchmarking expert-level medical reasoning and understanding.
Baichuan-M2: Scaling Medical Capability with Large Verifier System MedxpertQA: Benchmarking expert-level medical reasoning and understanding
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.937671Z
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 5168069c-7628-421c-8ec0-018423182eef · outbound
This paper cites Qwen3 Technical Report.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Qwen3 Technical Report
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:16.246568Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40b80bde-f71d-4b54-a488-f3d134731a30 · outbound
This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:16.438285Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 466f95ac-15c9-42fd-8d4e-9166aa94374e · outbound
This paper cites Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:16.038483Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 710dffae-eb7e-4ccd-aa68-efaefdbfccab · outbound
This paper cites gpt-oss-120b & gpt-oss-20b Model Card.
Baichuan-M2: Scaling Medical Capability with Large Verifier System gpt-oss-120b & gpt-oss-20b Model Card
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:16.139219Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6fb6c37-593f-41ed-9d42-74e73f74a884 · outbound
This paper cites From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline.
Baichuan-M2: Scaling Medical Capability with Large Verifier System From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:16.737789Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68c81129-65d4-4435-84bb-b5a4437f53a1 · outbound
This paper cites Qwen3 Technical Report.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Qwen3 Technical Report
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:16.310622Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f63523c-1840-49f5-ac88-367be4947bf3 · outbound
This paper cites Writingbench: A comprehensive benchmark for generative writing.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Writingbench: A comprehensive benchmark for generative writing
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:16.904439Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42c9d9d4-19e9-4c1b-b36d-7b5529f69c8b · outbound
This paper cites Instruction-Following Evaluation for Large Language Models.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Instruction-Following Evaluation for Large Language Models
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:16.522659Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 038a7a73-ab74-4a8a-be10-f02b5f2c83e7 · outbound
This paper cites Cfbench: A comprehensive constraints-following benchmark for llms.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Cfbench: A comprehensive constraints-following benchmark for llms
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.929925Z
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 244e99c5-ead7-401c-b5af-6ddd2cd47410 · outbound
This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.
Baichuan-M2: Scaling Medical Capability with Large Verifier System GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:17.249675Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0da3c65d-f398-42be-95b8-8af8e54dca14 · outbound
This paper cites Alignbench: Benchmarking chinese alignment of large language models.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Alignbench: Benchmarking chinese alignment of large language models
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:16.845299Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a84d74b-fbb8-4dae-aa8c-263719338f2e · outbound
This paper cites Gonzalez, Clark W.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Gonzalez, Clark W
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.907144Z
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 d2b8d6a8-9675-4af6-a2e8-5cc3222dd2a1 · outbound
This paper cites Optimize weight rounding via signed gradient descent for the quantization of llms.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Optimize weight rounding via signed gradient descent for the quantization of llms
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:17.042825Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d52f9e5-2098-4261-b083-cf727c4e6675 · outbound
This paper cites Croci, Bo Li, Pashmina Cameron, Martin Jaggi, Dan Alistarh, Torsten Hoefler, and James Hensman.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Croci, Bo Li, Pashmina Cameron, Martin Jaggi, Dan Alistarh, Torsten Hoefler, and James Hensman
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.915208Z
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 c1ec7b89-61ca-468c-aee0-8311e69a110e · outbound
This paper cites QQQ: Quality Quattuor-Bit Quantization for Large Language Models.
Baichuan-M2: Scaling Medical Capability with Large Verifier System QQQ: Quality Quattuor-Bit Quantization for Large Language Models
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:17.356679Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c71ad65c-b768-4cc2-9b97-95be30e984da · outbound
This paper cites Efficient memory management for large language model serving with pagedattention.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Efficient memory management for large language model serving with pagedattention
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:17.580558Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55d65e17-311d-41a0-a63b-35c9765e5141 · outbound
This paper cites EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test.
Baichuan-M2: Scaling Medical Capability with Large Verifier System EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:17.736862Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abc7a0c1-7290-47e0-8e16-edcf0784d485 · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.899866Z
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 34d06bc4-6be2-457e-a981-851b530addde · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.892858Z
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 cf3658a5-21f5-4124-b416-291dcfee46e6 · outbound
This paper cites If postprandial values are also elevated, basal alone may be insufficient.
Baichuan-M2: Scaling Medical Capability with Large Verifier System If postprandial values are also elevated, basal alone may be insufficient
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.885839Z
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 44fdeee0-2a32-4201-b8f4-c59199125764 · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 61
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.877937Z
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 cc9df853-1b86-4c60-a200-b630eefb72f6 · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 62
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.870834Z
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 e70db02e-38e5-4d5e-babb-976cc2529045 · outbound
This paper cites Non-compliance or inadequate carb control can drive hyperglycemia.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Non-compliance or inadequate carb control can drive hyperglycemia
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.863801Z
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 3d7df16c-73dd-4f62-ba5b-07e050b5f11b · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 64
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.856623Z
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 efd1273e-029d-44f9-bbd4-2863ea805486 · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 65
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.849739Z
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 7f6800fa-e05b-4294-8829-0cdda9972e8f · outbound
This paper cites 3.ACOG Recommendations (Practice Bulletin #190):.
Baichuan-M2: Scaling Medical Capability with Large Verifier System 3.ACOG Recommendations (Practice Bulletin #190):
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.841873Z
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 c7c483ff-15ba-49fb-a5cc-9b7f201571f9 · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 67
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.834496Z
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 4d61be3f-fa2b-45c4-b685-9c31d6539414 · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 68
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.827275Z
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 07823370-810a-4e92-b556-8350fcc0dc0b · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 69
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.819843Z
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 4c1c45bb-eec7-4d57-95af-f749fa6828c5 · outbound
This paper cites 2.Adding prandial insulin (rapid-acting) for meals if postprandial values are elevated.
Baichuan-M2: Scaling Medical Capability with Large Verifier System 2.Adding prandial insulin (rapid-acting) for meals if postprandial values are elevated
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.812427Z
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 98512c81-3afd-4746-ae55-eca95e4bf836 · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 71
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.805025Z
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 ac87c827-4e34-43b7-b52a-a17e67ae67a6 · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 72
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.798172Z
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 299f031c-b2ca-4933-ae35-4589f9756c54 · outbound
This paper cites 1.When to Escalate:.
Baichuan-M2: Scaling Medical Capability with Large Verifier System 1.When to Escalate:
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.790989Z
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 d9891814-92fa-497d-b19c-858fbd4260c4 · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 74
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.783829Z
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 fde7b452-869b-4bab-bf9a-c0d644f65b00 · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 75
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.776853Z
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 86e6620a-cbf5-4c77-b7d8-86a13c698088 · outbound
This paper cites 2.Documentation & Follow-up:.
Baichuan-M2: Scaling Medical Capability with Large Verifier System 2.Documentation & Follow-up:
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.769681Z
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 f861be0d-9dbf-4773-bbcf-9ef49bdbb373 · outbound
This paper cites Per ACOG, intensification indicated.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Per ACOG, intensification indicated
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.761933Z
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 a93f0dd3-dee0-4032-8867-faf687084445 · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 78
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.754745Z
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 146b943f-6755-49ab-a063-3e5694b53c69 · outbound
This paper cites Recommended Action Plan: 1.Immediate:.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Recommended Action Plan: 1.Immediate:
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.747307Z
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 7ea18a21-8ece-450e-9f07-4fba5388f32f · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 80
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.739628Z
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 68e15f28-09cd-4ddf-bbcf-0369f29c6ebf · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 81
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.732350Z
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 db80a0ae-af15-4db5-9c22-9b91254e5483 · outbound
This paper cites 2.Within 72 hours:.
Baichuan-M2: Scaling Medical Capability with Large Verifier System 2.Within 72 hours:
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.724223Z
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 5497a754-6a9c-4986-b05d-eb02a1e49354 · outbound
This paper cites If fasting >95, consider: 1.19-20 units basal (if no hypoglycemia).
Baichuan-M2: Scaling Medical Capability with Large Verifier System If fasting >95, consider: 1.19-20 units basal (if no hypoglycemia)
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.715643Z
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 d4aec08a-6eba-477f-aafa-233c4c9933b7 · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 84
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.707535Z
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 875d90f8-54bd-4f98-8e07-bad74b185a35 · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 85
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.699367Z
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 fc062fd1-9acd-47c8-8d52-ae77284fb5e3 · outbound
This paper cites Key References: • ACOG Practice Bulletin #190 (Gestational Diabetes) • ADA Standards of Care (2023): Recommend fasting <95 mg/dL in pregnancy.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Key References: • ACOG Practice Bulletin #190 (Gestational Diabetes) • ADA Standards of Care (2023): Recommend fasting <95 mg/dL in pregnancy
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.691542Z
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 27cf5832-1408-4cd7-bf39-c1127feefca2 · outbound
This paper cites Intensify.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Intensify
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.683004Z
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 a299969b-24b9-4b75-b5ce-87fd06dd5593 · outbound
This paper cites increase glargine from 16U to 18 U at 2200 h.
Baichuan-M2: Scaling Medical Capability with Large Verifier System increase glargine from 16U to 18 U at 2200 h
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:50:19.674905Z
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 b9ffcfe7-f668-48c8-a0a8-7b58e70f140c · outbound
This paper cites intensify if >95 mg/dL.
Baichuan-M2: Scaling Medical Capability with Large Verifier System intensify if >95 mg/dL
Reference 89
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-05T11:50:19.666491Z
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 d9dc5629-bdfd-411d-a914-69327c496d48 · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 2024
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:50:19.952862Z
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 b24336b7-e3cf-45d2-a9f9-60df263be16f · outbound
This paper cites an unresolved cited work.
Baichuan-M2: Scaling Medical Capability with Large Verifier System Unresolved cited work
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:50:13.599272Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 19727f15-e47d-4c6b-afdc-72752efb4678 · inbound
Active Learning for Neurosymbolic Program Synthesis cites this paper.
Active Learning for Neurosymbolic Program Synthesis Baichuan-M2: Scaling Medical Capability with Large Verifier System
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:44:10.546431Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b1b4a45-8a4c-4989-b4da-b0429d4f275f · inbound
A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.
A Survey of Reinforcement Learning for Large Reasoning Models Baichuan-M2: Scaling Medical Capability with Large Verifier System
Reference 221
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T00:02:24.493624Z
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 294d778f-1817-420d-8322-4c8adf78cb60 · inbound
InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-Based Incremental Training cites this paper.
InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-Based Incremental Training Baichuan-M2: Scaling Medical Capability with Large Verifier System
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:22:42.521571Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c89f3527-3ba1-40a4-bec6-fdd0d241e1c3 · inbound
LingxiDiagBench: A Multi-Agent Framework for Benchmarking LLMs in Chinese Psychiatric Consultation and Diagnosis cites this paper.
LingxiDiagBench: A Multi-Agent Framework for Benchmarking LLMs in Chinese Psychiatric Consultation and Diagnosis Baichuan-M2: Scaling Medical Capability with Large Verifier System
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:03:32.529115Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3886d9f-27d5-4a22-a415-1a017ad6e87f · inbound
OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective Intelligence cites this paper.
OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective Intelligence Baichuan-M2: Scaling Medical Capability with Large Verifier System
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T21:00:05.911327Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30d7b698-163d-4beb-b5ae-a52eac667876 · 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-M2: Scaling Medical Capability with Large Verifier System
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T10:25:26.685602Z
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 b20e84ba-0c36-4ab6-8986-ac0e5de0585f · inbound
C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis Reasoning cites this paper.
C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis Reasoning Baichuan-M2: Scaling Medical Capability with Large Verifier System
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T12:53:26.969670Z
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 83f28583-5287-4e11-87ec-e9895301155e · inbound
C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis Reasoning cites this paper.
C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis Reasoning Baichuan-M2: Scaling Medical Capability with Large Verifier System
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T05:01:11.041894Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec2535b0-eebb-4ab0-bc89-b3bf1a8ff89b · inbound
ClinicalMC: A Benchmark for Multi-Course Clinical Decision-Making with Large Language Models cites this paper.
ClinicalMC: A Benchmark for Multi-Course Clinical Decision-Making with Large Language Models Baichuan-M2: Scaling Medical Capability with Large Verifier System
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T03:06:30.546723Z
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 e637af4d-c33d-46ff-a8f1-3ef2650f8b49 · 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-M2: Scaling Medical Capability with Large Verifier System
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T17:01:07.429612Z
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 7a1a4475-00ba-4923-93f2-cb177d501fe9 · inbound
Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory cites this paper.
Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory Baichuan-M2: Scaling Medical Capability with Large Verifier System
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T01:07:30.863552Z
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 8ee5de2b-4605-4e01-a80e-ca640a0276be · inbound
Lung-R1: A Knowledge Graph-Guided LLM for Pulmonary Diagnostic Reasoning cites this paper.
Lung-R1: A Knowledge Graph-Guided LLM for Pulmonary Diagnostic Reasoning Baichuan-M2: Scaling Medical Capability with Large Verifier System
Reference 53
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-27T10:10:48.534305Z
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 2c3dd505-5d2b-4c2d-a051-a105facf921f · 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-M2: Scaling Medical Capability with Large Verifier System
Reference 274
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T09:47:59.555375Z
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 925ef9de-c4ac-4023-b388-9ff4deba2b27 · inbound
Latent-CURE for Breast Cancer Diagnosis cites this paper.
Latent-CURE for Breast Cancer Diagnosis Baichuan-M2: Scaling Medical Capability with Large Verifier System
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T06:14:19.187577Z
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 f8fb91ba-b703-4407-882b-16ea43c3656f · inbound
MentalHospital: A Virtual Environment for Evaluating Psychiatric Clinical Encounters cites this paper.
MentalHospital: A Virtual Environment for Evaluating Psychiatric Clinical Encounters Baichuan-M2: Scaling Medical Capability with Large Verifier System
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T10:37:01.657661Z
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 6729289e-bb4e-4519-bbbc-eefd0fb9086e · inbound
MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation cites this paper.
MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation Baichuan-M2: Scaling Medical Capability with Large Verifier System
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T05:07:42.040673Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43ace38b-6942-4848-ac4b-abb59379089c · inbound
MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation cites this paper.
MedRealMM: A Real-World Multimodal Benchmark for Chinese Online Medical Consultation Baichuan-M2: Scaling Medical Capability with Large Verifier System
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T07:43:33.938358Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fef35df8-38f7-41c8-a470-47e5fa783496 · inbound
MedDDC-Eval: Diagnosis-Decoupled Evaluation of Multi-Turn Medical Consultation Agents cites this paper.
MedDDC-Eval: Diagnosis-Decoupled Evaluation of Multi-Turn Medical Consultation Agents Baichuan-M2: Scaling Medical Capability with Large Verifier System
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:50:41.481667Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.