Paper Citation Record · LEDGER

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation

As of 23 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2503.05701.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2503.05701 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:46:26.645674Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

26 of 26 outbound references displayed

verified exact13
verified fuzzy7
unresolved4
parse uncertain1
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 599c23a4-5beb-4092-ad48-02841be37455 · outbound

This paper cites an unresolved cited work.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Unresolved cited work

Reference 1

Resolution: parse uncertain; raw_fallback, observed 2026-08-09T10:46:27.293569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b6527a58-3c63-49fc-9550-28a5ebf5005b · outbound

This paper cites Assessing the impact of the COVID -19 pandemic on clinician ambulatory electronic health record use.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Assessing the impact of the COVID -19 pandemic on clinician ambulatory electronic health record use

Reference 2

Resolution: verified exact; doi, observed 2026-08-09T10:46:26.821108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dd83d0e7-9284-45d0-b87e-0b50c8528678 · outbound

This paper cites How We’re Improving Physicians’ Messaging Experience Through Digital Tools,.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation How We’re Improving Physicians’ Messaging Experience Through Digital Tools,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:27.282484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 47dc59a0-4b60-4bb8-9895-0133d8a4b4d2 · outbound

This paper cites The Rules of Engagement: Perspectives on Secure Messaging From Experienced Ambulatory Patient Portal Users.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation The Rules of Engagement: Perspectives on Secure Messaging From Experienced Ambulatory Patient Portal Users

Reference 4

Resolution: verified exact; doi, observed 2026-08-09T10:46:26.809793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 53522f13-cbca-426a-be93-dcaa69653565 · outbound

This paper cites Increasing Patient Portal Usage: Preliminary Outcomes from the MyChart Genius Project.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Increasing Patient Portal Usage: Preliminary Outcomes from the MyChart Genius Project

Reference 5

Resolution: verified exact; doi, observed 2026-08-09T10:46:26.798579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b503c1c6-ec39-4189-a026-6f68c291ded9 · outbound

This paper cites Exploring how virtual primary care visits affect patient burden of treatment.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Exploring how virtual primary care visits affect patient burden of treatment

Reference 6

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T10:46:27.200992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4d7095ed-d6c4-4ac4-a0b9-0fbdb0b1aa65 · outbound

This paper cites Physician burnout: contributors, consequences and solutions.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Physician burnout: contributors, consequences and solutions

Reference 7

Resolution: verified exact; doi, observed 2026-08-09T10:46:26.787000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bbf4c803-0fb7-4556-8756-be2efb42b4f9 · outbound

This paper cites Are specific elements of electronic health record use associated with clinician burnout more than others? J Am Med Inform Assoc.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Are specific elements of electronic health record use associated with clinician burnout more than others? J Am Med Inform Assoc

Reference 8

Resolution: verified exact; doi, observed 2026-08-09T10:46:26.775731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6f227fd6-9505-441d-8387-783a05072f0f · outbound

This paper cites MyChart Messages the Wild West of Patient Communication,.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation MyChart Messages the Wild West of Patient Communication,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:27.271465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e782b754-338b-4b5a-8037-27d4b43eb72d · outbound

This paper cites Impact of MyChart Communication on Provider Burden.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Impact of MyChart Communication on Provider Burden

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:27.247698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d645a2e2-376c-40b8-92e6-b1fefa48c9c1 · outbound

This paper cites Medical emergency triage and patient prioritisation in a telemedicine environment: a systematic review.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Medical emergency triage and patient prioritisation in a telemedicine environment: a systematic review

Reference 11

Resolution: verified exact; doi, observed 2026-08-09T10:46:26.765237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e008da5-26b1-4e02-a2c1-93806d041089 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T10:46:26.597152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 710925d3-b34c-4264-bb48-23100eeb8755 · outbound

This paper cites A comparison of rule -based and machine learning approaches for classifying patient portal messages.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation A comparison of rule -based and machine learning approaches for classifying patient portal messages

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T10:46:26.601398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f3db379-5a57-4f57-a3e5-e1a952366373 · outbound

This paper cites Medical Dialogue Summarization for Automated Reporting in Healthcare.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Medical Dialogue Summarization for Automated Reporting in Healthcare

Reference 14

Resolution: verified exact; doi, observed 2026-08-09T10:46:26.747557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c749b063-4115-4cf6-b306-f052d282986b · outbound

This paper cites Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T10:46:26.609144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e075e6cc-3ffb-4ba8-b0c6-a87270c49882 · outbound

This paper cites Medically Aware GPT -3 as a Data Generator for Medical Dialogue Summarization.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Medically Aware GPT -3 as a Data Generator for Medical Dialogue Summarization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:27.235611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 59be2724-0b8f-4cde-81a3-fc62a7e1c953 · outbound

This paper cites More Data Key to Understand AI for Sorting Patient Portal Messages,.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation More Data Key to Understand AI for Sorting Patient Portal Messages,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:27.223867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b87cf328-9c02-4d0f-8d6c-9ba3787048fc · outbound

This paper cites Classifying patient portal messages using Convolutional Neural Networks.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Classifying patient portal messages using Convolutional Neural Networks

Reference 18

Resolution: verified exact; doi, observed 2026-08-09T10:46:26.736180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee900046-69f0-4d1b-8ab6-a8f1fc6fbf0f · outbound

This paper cites Artificial Intelligence to Identify Commonly Asked Questions via an Electronic Patient Portal - Lessons From a Cardiology Department Within a Large Health System [abstract].

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Artificial Intelligence to Identify Commonly Asked Questions via an Electronic Patient Portal - Lessons From a Cardiology Department Within a Large Health System [abstract]

Reference 19

Resolution: verified exact; doi, observed 2026-08-09T10:46:26.725118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c938cad0-0fca-460a-8baf-7ba109e38616 · outbound

This paper cites Rapid design and implementation of an integrated patient self -triage and self -scheduling tool for COVID -19.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Rapid design and implementation of an integrated patient self -triage and self -scheduling tool for COVID -19

Reference 20

Resolution: verified exact; doi, observed 2026-08-09T10:46:26.713766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e6b84c76-8ab6-4a5d-ba9b-c5d571ccab9a · outbound

This paper cites Analysis of Patient Contacts with the Radiation Oncology Triage Nurse: The Experience of a Single Center.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Analysis of Patient Contacts with the Radiation Oncology Triage Nurse: The Experience of a Single Center

Reference 21

Resolution: verified exact; doi, observed 2026-08-09T10:46:26.702066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation edbe45f2-6b8e-4408-b3d3-4f3cb70e9d36 · outbound

This paper cites Analyzing Patient Secure Messages Using a Fast Health Care Interoperability Resources (FIHR) –Based Data Model: Development and Topic Modeling Study.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Analyzing Patient Secure Messages Using a Fast Health Care Interoperability Resources (FIHR) –Based Data Model: Development and Topic Modeling Study

Reference 22

Resolution: malformed identifier; doi_truncated, observed 2026-08-09T10:46:26.689241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b0fb41c0-d8f0-464f-9141-a6ed2f1a51c5 · outbound

This paper cites Artificial intelligence to organize patient portal messages: a journey from an ensemble deep learning text classification to rule-based named entity recognition.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Artificial intelligence to organize patient portal messages: a journey from an ensemble deep learning text classification to rule-based named entity recognition

Reference 23

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T10:46:27.014088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 37798218-9000-48b8-a4d4-bddd2d6f1c3c · outbound

This paper cites Medical Call Center Software, Nurse Triage on Call,.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Medical Call Center Software, Nurse Triage on Call,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:27.212455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4363b91a-13fe-44a7-a8f8-d7894b8a5fad · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T10:46:26.645674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 812fb083-ca27-4ea8-95e8-cdd9bcd3ac73 · outbound

This paper cites Available: https://33charts.com/mychart -messages-the-wild-west-of-patient- communication/.

OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Available: https://33charts.com/mychart -messages-the-wild-west-of-patient- communication/

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:46:27.259903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.