Paper Citation Record · LEDGER

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis

As of 22 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2501.17190.

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

pith.paper-citation-record.v1
2501.17190 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:00:05.967056Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:43:51.111450Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T14:43:51.468080Z

Reference resolution

23 of 23 outbound references displayed

verified exact1
verified fuzzy18
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 251211b3-96e0-4bb7-a73b-8936407e326c · outbound

This paper cites Large language models in healthcare and medical domain: A review.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis Large language models in healthcare and medical domain: A review

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.341773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9e729068-b4ca-44f6-90cb-805d7a47ec2b · outbound

This paper cites Large language models in medicine.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis Large language models in medicine

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.327092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8493209c-d245-4b99-89c6-764481c510d2 · outbound

This paper cites KIMedQA: towards building knowledge - enhanced medical QA models.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis KIMedQA: towards building knowledge - enhanced medical QA models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.312012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 77e69ab1-b7b1-436b-ac56-99c948ff487a · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis LoRA: Low-Rank Adaptation of Large Language Models

Reference 4

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Source-reported events for the cited work

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Observation 31a02a99-1ebf-4503-831d-13144622409e · outbound

This paper cites HealifyAI - LLM based Healthcare System.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis HealifyAI - LLM based Healthcare System

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.296806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3302554d-7c56-43b0-8aaf-988c99a825f4 · outbound

This paper cites Enhancing health care communication with large language models —the role, challenges, and future directions.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis Enhancing health care communication with large language models —the role, challenges, and future directions

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.282415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0ae3f9d0-2ba5-4649-abdc-ec76e7977614 · outbound

This paper cites Large language models could change the future of behavioral healthcare: a proposal for responsible development and ev aluation.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis Large language models could change the future of behavioral healthcare: a proposal for responsible development and ev aluation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.266066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0de0fb67-561c-44c9-a684-98b6ed92a07b · outbound

This paper cites The opportunities and risks of large language models in mental health.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis The opportunities and risks of large language models in mental health

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.250142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b67548f6-ba5a-47f4-8ee2-2cb847978132 · outbound

This paper cites Generative AI and large language models in health care: pathways to implementation.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis Generative AI and large language models in health care: pathways to implementation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.234409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f7a1abd0-1c0c-48d4-91b9-1e1c7980767c · outbound

This paper cites Opportunities and challenges for ChatGPT and large language models in biomedicine and health.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis Opportunities and challenges for ChatGPT and large language models in biomedicine and health

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.220163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bbf09c86-b9d0-42bd-811c-aad60c0b810f · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T14:00:05.918301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c95eeb3a-b466-42e7-8013-2a179c74fa6c · outbound

This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T14:00:05.922790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb8f8fef-b5a2-4e8e-a8fc-d2ae9746c329 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis Fine-Tuning Language Models from Human Preferences

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T14:00:05.927795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a986a46d-08ac-4a5e-bfc8-7c35e5b4efa1 · outbound

This paper cites BioBERT: a pre-trained biomedical language representation model for biomedical text mining.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.206311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e110d851-3ab6-46c0-8f29-976b3acee9d6 · outbound

This paper cites The promise of large language models in health care.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis The promise of large language models in health care

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.191449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9e82bb45-2ab5-47ec-ba3f-5611757c900c · outbound

This paper cites The future landscape of large language mod els in medicine.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis The future landscape of large language mod els in medicine

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.174561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 018dfab7-1a9f-4b84-a09d-37a4ec117113 · outbound

This paper cites Artificial intelligence: revolutionizing cardiology with large language models.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis Artificial intelligence: revolutionizing cardiology with large language models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.158459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 120e640c-8065-4bf7-a2d9-2e56f3aa73c6 · outbound

This paper cites Implications of large language models such as ChatGPT for dental medicine.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis Implications of large language models such as ChatGPT for dental medicine

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.142264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 820161d2-57f7-4ae7-8c59-d631061f2c57 · outbound

This paper cites Large language models in health care: Development, applications, and challenges.

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.127230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 59d6eb0a-fd2e-426f-91f4-d7b70f4b3dd2 · outbound

This paper cites Updated primer on generative artificial intelligence and large language models in medical imaging for medical professionals.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis Updated primer on generative artificial intelligence and large language models in medical imaging for medical professionals

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.111557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7c595156-45ef-425d-a465-ff8b76f60cc1 · outbound

This paper cites Embracing large language models for medical applications: opportunities and challenges.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis Embracing large language models for medical applications: opportunities and challenges

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.096224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fc5a3cba-9f62-4b09-b3c3-8a24cc9ce236 · outbound

This paper cites Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:00:06.009266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1c203f29-c20e-42cc-bb82-fdca6b28c032 · outbound

This paper cites Process knowledge -infused learning for clinician -friendly explanations.

A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis Process knowledge -infused learning for clinician -friendly explanations

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:00:06.081981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 3fd6bbad-e4da-4fbf-acf6-ffa5a3546c91 · inbound

Educational programs and crime: a compartmental model approach cites this paper.

Educational programs and crime: a compartmental model approach A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis

Reference 40

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:43:51.642320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 283cdb20-9572-45dd-a620-857f0deb8d54 · inbound

Multi-scale measures of time-varying epidemic spread on human mobility networks cites this paper.

Multi-scale measures of time-varying epidemic spread on human mobility networks A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-31T04:59:13.875290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.