Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:03:18.964121Z
Paper Citation Record · LEDGER
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise
As of 21 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2412.12583.
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 2026-08-21T06:32:19.484+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
28 of 28 outbound references displayed
- verified exact0
- verified fuzzy17
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f90c77da-5c51-40d7-9b5f-d829356c13ee · outbound
This paper cites Assessment and Plan.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise Assessment and Plan
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:03:19.285923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9f14e15e-fbdf-4a0f-b71c-3ca288c69835 · outbound
This paper cites OpenAI o1 System Card.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise OpenAI o1 System Card
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:03:18.865985Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0b758f3-fc61-4ee2-90a1-52ac400d43be · outbound
This paper cites Enhancing LLM Reasoning with Reward-guided Tree Search.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise Enhancing LLM Reasoning with Reward-guided Tree Search
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:03:18.869765Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c91382e-92cc-4d9a-b214-0ce2cc2d7563 · outbound
This paper cites Improving Clinical Note Generation from Complex Doctor-Patient Conversation.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise Improving Clinical Note Generation from Complex Doctor-Patient Conversation
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:03:18.873431Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9a4f6bf-00b6-457c-852e-77d4b4e9d382 · outbound
This paper cites Step_score.
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:03:19.232618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 60dd2646-674d-4d26-9c26-164de05f72a0 · outbound
This paper cites Problem_no.
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:03:19.222370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a315d57f-2173-47ca-a188-3b197134fbf1 · outbound
This paper cites Note_completeness_score.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise Note_completeness_score
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:03:19.213006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 069924c8-2e2d-40f6-9e83-05af51590693 · outbound
This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:03:18.889655Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3bc556b-9625-479a-ac3d-d8a859302911 · outbound
This paper cites an unresolved cited work.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T14:03:19.274866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ed1de98d-c448-4a62-a77e-59f519af3236 · outbound
This paper cites Assessment and Plan.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise Assessment and Plan
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:03:19.264486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a4cb0c77-6e76-4221-a4d1-aad9156a297a · outbound
This paper cites Follow-up instructions:.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise Follow-up instructions:
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:03:19.254189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 59f1dfa9-39e0-4db1-bcfb-a9619532c188 · outbound
This paper cites Assessment:.
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:03:19.243007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9eb794e5-7aaa-480a-8fac-b16bdb8a40ae · outbound
This paper cites Problems.
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:03:19.202951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c75f9158-a2ad-4fe7-9e42-77683dfa3f59 · outbound
This paper cites Assessment and Plan.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise Assessment and Plan
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:03:19.192091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5046d286-9cad-4bb2-9546-d03566f3be83 · outbound
This paper cites an unresolved cited work.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T14:03:19.181527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d9b0c787-2e97-4f58-bc50-bae8aab83416 · outbound
This paper cites Most conversations occurred in the outpatient setting.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise Most conversations occurred in the outpatient setting
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:03:19.170957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2ad56c2c-91f6-4e1c-adee-2c4d3c53d271 · outbound
This paper cites Assessment and Plan,.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise Assessment and Plan,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:03:19.159688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fb22863c-8f09-41b9-905e-c82b0470d602 · outbound
This paper cites Assessment and Plan.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise Assessment and Plan
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:03:19.147994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cd484009-b526-40be-9beb-7d4c2088e954 · outbound
This paper cites an unresolved cited work.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T14:03:19.135082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2d2c0c4c-a384-43ef-872f-13dd0c28a7b4 · outbound
This paper cites This is appreciated but not mandatory.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise This is appreciated but not mandatory
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:03:19.122497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d464af44-17e3-4ab4-875f-5ae58086eba6 · outbound
This paper cites He experiences episodic shortness of breath, eye watering, and occasional diarrhea after heavy drinking.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise He experiences episodic shortness of breath, eye watering, and occasional diarrhea after heavy drinking
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:03:19.111086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ac7a7538-9329-40ee-ae94-ee7c77713660 · outbound
This paper cites This suggests that she has chronic hepatitis C.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise This suggests that she has chronic hepatitis C
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:03:19.098590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0941633d-2271-45c7-a34c-1836a56babe8 · outbound
This paper cites She denies any other symptoms.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise She denies any other symptoms
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:03:19.086736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f3441654-e8a6-4dcc-82c3-166a57e186da · outbound
This paper cites +” score label ex- ceeds that of its “ −.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise +” score label ex- ceeds that of its “ −
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:03:19.297399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fbc91d87-fdc7-4ae0-96ea-3457ee901e3e · outbound
This paper cites O1 Replication Journey: A Strategic Progress Report -- Part 1.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise O1 Replication Journey: A Strategic Progress Report -- Part 1
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:03:18.885861Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49d2a545-6aaa-4729-8469-6dc41e93ed0a · outbound
This paper cites Let's Verify Step by Step.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise Let's Verify Step by Step
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:03:18.877810Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb4b9d9e-dacf-4928-b6f9-cb4672b8d41e · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise Training Verifiers to Solve Math Word Problems
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:03:18.861035Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12e23caf-5740-48e4-a599-552c1dc2ba0d · outbound
This paper cites Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling.
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:03:18.881721Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.