Paper Citation Record · LEDGER

Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise

As of 19 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.

pith.paper-citation-record.v1
2412.12583 v3

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:03:18.964121Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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 2026-08-19T06:32:44.657259+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.

Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise 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 2026-08-19T06:32:44.657259+00:00.

Observation 60dd2646-674d-4d26-9c26-164de05f72a0 · outbound

This paper cites Problem_no.

Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

Observation 59f1dfa9-39e0-4db1-bcfb-a9619532c188 · outbound

This paper cites Assessment:.

Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise 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 2026-08-19T06:32:44.657259+00:00.

Observation 9eb794e5-7aaa-480a-8fac-b16bdb8a40ae · outbound

This paper cites Problems.

Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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.