Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:01:45.923680Z
Paper Citation Record · LEDGER
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching
As of 8 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2507.04099.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
17 of 17 outbound references displayed
- verified exact2
- verified fuzzy5
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e67e7342-26c5-4827-bb62-2a5ace367e72 · outbound
This paper cites Towards Democratization of Subspeciality Medical Expertise.
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching Towards Democratization of Subspeciality Medical Expertise
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:01:46.567450Z
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.
Observation 755229fb-6832-44f3-b0d3-e2e37aee6581 · outbound
This paper cites Fine Tuning Large Language Models for Medicine: The Role and Importance of Direct Preference Optimization.
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching Fine Tuning Large Language Models for Medicine: The Role and Importance of Direct Preference Optimization
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:01:44.023672Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc603ba7-f9ce-4f01-a310-20f742650006 · outbound
This paper cites an unresolved cited work.
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:01:47.717253Z
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.
Observation 001eb42d-6342-44f7-b695-ca61cdeaabe2 · outbound
This paper cites JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability.
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:01:44.210006Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08eda640-9124-4153-80d1-664381f8a5f0 · outbound
This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:01:44.337724Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44f05754-39d1-4135-b491-3e1a231fddd4 · outbound
This paper cites Proximal Policy Optimization Algorithms.
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching Proximal Policy Optimization Algorithms
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:01:44.392416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f22cf46-d81d-41b4-970a-9f0f0a2984a6 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:01:44.443750Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4175c59e-8224-4ff4-8289-4b7226c494a5 · outbound
This paper cites Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models.
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:01:44.587262Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cddbe88-51a7-4687-93c1-08f27c024484 · outbound
This paper cites US Elsevier Health https://www.us.elsevierhealth.com/the-medical-interview-9780323052214.html.
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching US Elsevier Health https://www.us.elsevierhealth.com/the-medical-interview-9780323052214.html
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:01:47.521488Z
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.
Observation 30747c74-d84d-467a-9eb6-4bfd4d8e3087 · outbound
This paper cites Learning to branch with Tree MDPs.
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching Learning to branch with Tree MDPs
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:01:46.229114Z
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.
Observation 026835ad-b87a-48a7-bc24-21fdf1d75606 · outbound
This paper cites & Chen, W.
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:01:47.376195Z
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.
Observation 1f0dc4f4-f5e2-4c7e-91bb-808ff5e823e3 · outbound
This paper cites SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks.
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:01:45.270627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f65453d-6c5f-4325-88c5-f393af758795 · outbound
This paper cites What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams.
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:01:45.385242Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebbb0cb5-17b1-49c8-a137-50e113bd89c1 · outbound
This paper cites https://huggingface.co/meta-llama/Llama- 3.1-8B-Instruct (2024).
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching https://huggingface.co/meta-llama/Llama- 3.1-8B-Instruct (2024)
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:01:47.227192Z
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.
Observation b78a7175-7309-4e5a-8c6a-c9a4a95c9504 · outbound
This paper cites https://huggingface.co/mistralai/Ministral- 8B-Instruct-2410.
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching https://huggingface.co/mistralai/Ministral- 8B-Instruct-2410
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:01:46.997475Z
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.
Observation 7612c144-f160-4fce-a610-0097b64df3a8 · outbound
This paper cites https://platform.openai.com.
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching https://platform.openai.com
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:01:46.812795Z
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.
Observation 0a3e0925-f9e2-44ff-8887-5c85b88b41fb · outbound
This paper cites A Diversity-Promoting Objective Function for Neural Conversation Models.
Conversation Forests: The Key to Fine Tuning Large Language Models for Multi-Turn Medical Conversations is Branching A Diversity-Promoting Objective Function for Neural Conversation Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:01:45.923680Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.