Paper Citation Record · LEDGER

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration

As of 19 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2505.02848.

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

pith.paper-citation-record.v1
2505.02848 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:33:20.729303Z

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 exact4
verified fuzzy4
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97b52fb1-4721-461b-8a04-2d64d039f660 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration LLaMA: Open and Efficient Foundation Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.045784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cce5d956-6fc0-49ec-afda-1617aefa6cce · outbound

This paper cites Can large language models provide feedback to students? a case study on chatgpt.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Can large language models provide feedback to students? a case study on chatgpt

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:21.466471Z

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 73076859-32da-46ee-bc7e-c1aa8e8a89fc · outbound

This paper cites Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.151770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ebaa0b7-c7ad-4511-af1e-8783b7dd7fb2 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.157164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6ebde3c-2671-41e7-9c42-4a993ec8d213 · outbound

This paper cites Large Language Model Alignment: A Survey.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Large Language Model Alignment: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.169035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1740f5f6-d215-46d4-ac9b-988a521a0e35 · outbound

This paper cites Data-Centric Foundation Models in Computational Healthcare: A Survey.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Data-Centric Foundation Models in Computational Healthcare: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.296152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8a2696f-7ae3-4d2c-9958-9c6ee0992dfe · outbound

This paper cites Radiology-Llama2: Best-in-Class Large Language Model for Radiology.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Radiology-Llama2: Best-in-Class Large Language Model for Radiology

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.394902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e985e86d-62ac-4dd9-91d2-9806b8469e55 · outbound

This paper cites RRHF: Rank Responses to Align Language Models with Human Feedback without tears.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration RRHF: Rank Responses to Align Language Models with Human Feedback without tears

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.400868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 352cd66b-adb8-401d-81c1-1807703c3f72 · outbound

This paper cites Chatgpt for clinical vignette generation, revision, and evaluation.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Chatgpt for clinical vignette generation, revision, and evaluation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:21.443441Z

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 231b717a-ec9c-4067-afc3-ae5ce13acbe8 · outbound

This paper cites ProGen: Language Modeling for Protein Generation.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration ProGen: Language Modeling for Protein Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.411067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c84a4d15-b973-4cba-a501-d4f95272f7a8 · outbound

This paper cites Galactica: A Large Language Model for Science.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Galactica: A Large Language Model for Science

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.416428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3f5bc70-30a6-4a32-93c9-97c9c2ceaf86 · outbound

This paper cites AutoTrial: Prompting Language Models for Clinical Trial Design.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration AutoTrial: Prompting Language Models for Clinical Trial Design

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:33:21.025396Z

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 8959d647-4f7d-4fe9-9c58-4ae1d53025ae · outbound

This paper cites Improving Patient Pre-screening for Clinical Trials: Assisting Physicians with Large Language Models.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Improving Patient Pre-screening for Clinical Trials: Assisting Physicians with Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.425921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70f7dcbb-9ffb-47d4-bd6e-9a310bbd3773 · outbound

This paper cites Clinidigest: a case study in large language model based large-scale summarization of clinical trial descriptions.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Clinidigest: a case study in large language model based large-scale summarization of clinical trial descriptions

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:21.426691Z

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 58a6e9f9-f82b-4b13-8b4b-d3c55a0227b4 · outbound

This paper cites MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.597919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8e9c725-aa96-4116-9da6-c671e08d5dab · outbound

This paper cites Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:33:20.972941Z

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 52e81d03-3d8e-4b4f-b6a7-b4a9eae2a0f4 · outbound

This paper cites How does chatgpt perform on the medical licensing exams? the implications of large language models for medical education and knowledge assessment.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration How does chatgpt perform on the medical licensing exams? the implications of large language models for medical education and knowledge assessment

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:33:21.335411Z

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 244f3721-3229-4205-ba96-b7c39dc046a2 · outbound

This paper cites MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.711061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a59fee1-e889-437c-b70f-5e78391eb159 · outbound

This paper cites Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.715427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2799ab53-071c-446a-8309-8b0aef6f2464 · outbound

This paper cites RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.719885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98a259ef-c846-498d-8df5-bd7ab4ad9664 · outbound

This paper cites RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.724525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b147f426-f146-42c5-8438-e4f30b9f4438 · outbound

This paper cites MedForge: Building Medical Foundation Models Like Open Source Software Development.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration MedForge: Building Medical Foundation Models Like Open Source Software Development

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:33:20.801290Z

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 320f3550-d278-47c8-92a1-20c5ab014541 · outbound

This paper cites Aligning Large Language Models with Human: A Survey.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Aligning Large Language Models with Human: A Survey

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.146108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abea2c03-1f31-449e-975e-7ea7d6a719d7 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.389604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c0c2e9b-2268-47e9-b0b9-d84d0a005395 · outbound

This paper cites Continual Learning for Large Language Models: A Survey.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Continual Learning for Large Language Models: A Survey

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.383737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a91705d6-9d28-49d9-aee7-f6668211b751 · outbound

This paper cites ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.139629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7edd3af9-25df-4e36-86ee-0f479af3f798 · outbound

This paper cites covLLM: Large Language Models for COVID-19 Biomedical Literature.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration covLLM: Large Language Models for COVID-19 Biomedical Literature

Reference 2023

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:33:21.232387Z

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 a702f464-4c0d-4c8a-8373-9a05007d6718 · outbound

This paper cites GPT-4 Technical Report.

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration GPT-4 Technical Report

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:20.162651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.