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Paper Citation Record · LEDGER

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.08002.

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

pith.paper-citation-record.v1
2507.08002 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:25:23.678175Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation bf300844-a319-49a1-9696-fa99a11e5836 · outbound

This paper cites LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study (2025) Karisa Parkington*, Bazen G.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study (2025) Karisa Parkington*, Bazen G

Reference 1

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This paper cites Created in BioRender.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Created in BioRender

Reference 2

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Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Created in BioRender

Reference 3

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Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Created in BioRender

Reference 4

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Observation 71135546-60dd-4af2-a083-934acd16f191 · outbound

This paper cites Panel A: Frequency comparison of codes and themes.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Panel A: Frequency comparison of codes and themes

Reference 5

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This paper cites Created in BioRender.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Created in BioRender

Reference 6

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Observation 7940e6e5-2e8e-4a77-91d9-11f8a820902c · outbound

This paper cites Using thematic analysis in psychology,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Using thematic analysis in psychology,

Reference 7

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Observation 162f3794-d662-4048-be08-c8e6513fc56f · outbound

This paper cites Pragmatic measures: what they are and why we need them,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Pragmatic measures: what they are and why we need them,

Reference 8

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This paper cites Studying complexity in health services research: desperately seeking an overdue paradigm shift,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Studying complexity in health services research: desperately seeking an overdue paradigm shift,

Reference 9

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Observation 9ff6b82c-08d2-4275-aaa1-a939a51bcaf6 · outbound

This paper cites Qualitative methods in implementation research: An introduction,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Qualitative methods in implementation research: An introduction,

Reference 10

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Observation 28615c52-8a98-41aa-b7d7-9382a7ba3781 · outbound

This paper cites What Is Qualitative Research? An Overview and Guidelines,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study What Is Qualitative Research? An Overview and Guidelines,

Reference 12

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Observation 78e91d05-de22-41a4-97ea-2b81ae3c0b8f · outbound

This paper cites Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation Study,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation Study,

Reference 14

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This paper cites Best practices for implementing ChatGPT, large language models, and artificial intelligence in qualitative and survey-based research,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Best practices for implementing ChatGPT, large language models, and artificial intelligence in qualitative and survey-based research,

Reference 15

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Observation 6b0531d7-a518-464c-8590-f25752ad1419 · outbound

This paper cites Exploring the Use of AI in Qualitative Analysis: A Comparative Study of Guaranteed Income Data,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Exploring the Use of AI in Qualitative Analysis: A Comparative Study of Guaranteed Income Data,

Reference 16

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Observation c7a0efc7-7be6-406e-bac8-1c824565039b · outbound

This paper cites Qualitative and mixed methods in mental health services and implementation research,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Qualitative and mixed methods in mental health services and implementation research,

Reference 17

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Observation 81a462d9-c7de-45e5-9024-938e42812907 · outbound

This paper cites LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis

Reference 18

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Observation e7fbedb8-7be1-4963-a716-4fa013c266dd · outbound

This paper cites Comparing GPT-4 and Human Researchers in Health Care Data Analysis: Qualitative Description Study,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Comparing GPT-4 and Human Researchers in Health Care Data Analysis: Qualitative Description Study,

Reference 19

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This paper cites A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges,

Reference 20

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Observation d07577b9-5c82-41fc-95a1-efbc214f82ec · outbound

This paper cites Job-Related Problems Prior to Nurse Suicide, 2003-2017: A Mixed Methods Analysis Using Natural Language Processing and Thematic Analysis,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Job-Related Problems Prior to Nurse Suicide, 2003-2017: A Mixed Methods Analysis Using Natural Language Processing and Thematic Analysis,

Reference 21

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Observation 32b5a88d-0b8b-4eba-9d53-c4ff5de64b9f · outbound

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Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Thematic analysis and natural language processing of job-related problems prior to physician suicide in 2003-2018,

Reference 22

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Observation 6203308e-5397-45ce-97cd-efbd9b9cb092 · outbound

This paper cites Inductive thematic analysis of healthcare qualitative interviews using open-source large language models: How does it compare to traditional methods?,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Inductive thematic analysis of healthcare qualitative interviews using open-source large language models: How does it compare to traditional methods?,

Reference 23

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Observation f82effff-acb0-4be2-9c73-da538fba9737 · outbound

This paper cites Performing an Inductive Thematic Analysis of Semi-Structured Interviews With a Large Language Model: An Exploration and Provocation on the Limits of the Approach,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Performing an Inductive Thematic Analysis of Semi-Structured Interviews With a Large Language Model: An Exploration and Provocation on the Limits of the Approach,

Reference 24

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Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Can Large Language Models Understand Context?

Reference 26

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Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Long short-term memory,

Reference 27

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This paper cites Current applications and challenges in large language models for patient care: A systematic review,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Current applications and challenges in large language models for patient care: A systematic review,

Reference 29

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Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Qualitative data analysis in the age of artificial general intelligence,

Reference 30

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Observation c8babf2f-7f4c-4f7d-a805-7fc5595a6721 · outbound

This paper cites Clinician voices on ethics of LLM integration in healthcare: a 10 thematic analysis of ethical concerns and implications,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Clinician voices on ethics of LLM integration in healthcare: a 10 thematic analysis of ethical concerns and implications,

Reference 31

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This paper cites Benefits and Harms of Large Language Models in Digital Mental Health.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Benefits and Harms of Large Language Models in Digital Mental Health

Reference 33

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Observation 1cf58aeb-ff64-4843-b3d1-898b6549e49f · outbound

This paper cites AI–Human Hybrids for Marketing Research: Leveraging Large Language Models (LLMs) as Collaborators,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study AI–Human Hybrids for Marketing Research: Leveraging Large Language Models (LLMs) as Collaborators,

Reference 34

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Observation c4a59359-e813-4e10-9001-749ae4d2dbe2 · outbound

This paper cites Applications of large language models in psychiatry: A systematic review,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Applications of large language models in psychiatry: A systematic review,

Reference 35

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Observation 64fda936-fe69-4702-ba46-6159bbc26f16 · outbound

This paper cites Analyzing patient perspectives with large language models: a cross-sectional study of sentiment and thematic classification on exception from informed consent,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Analyzing patient perspectives with large language models: a cross-sectional study of sentiment and thematic classification on exception from informed consent,

Reference 36

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This paper cites Digital Interventions to Understand and Mitigate Stress Response: Protocol for Process and Content Evaluation of a Cohort Study,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Digital Interventions to Understand and Mitigate Stress Response: Protocol for Process and Content Evaluation of a Cohort Study,

Reference 37

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Observation 2b31f86a-9d43-4472-84e5-6ad955cc4fb0 · outbound

This paper cites From bard to Gemini: An investigative exploration journey through Google’s evolution in conversational AI and generative AI,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study From bard to Gemini: An investigative exploration journey through Google’s evolution in conversational AI and generative AI,

Reference 38

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Observation 7e2ae7b7-2a42-4b0c-9597-3493a9b32d5f · outbound

This paper cites Created in BioRender.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Created in BioRender

Reference 39

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This paper cites Prompts, Pearls, Imperfections: Comparing ChatGPT and a Human Researcher in Qualitative Data Analysis,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Prompts, Pearls, Imperfections: Comparing ChatGPT and a Human Researcher in Qualitative Data Analysis,

Reference 40

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This paper cites The art of prompting: Unleashing the power of large language models,.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study The art of prompting: Unleashing the power of large language models,

Reference 41

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Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Unresolved cited work

Reference 42

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This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 47

Resolution
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This paper cites Available: https://www.audiotranskription.de/wp-content/uploads/2020/11/manual-on-transcription.pdf.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Available: https://www.audiotranskription.de/wp-content/uploads/2020/11/manual-on-transcription.pdf

Reference 2015

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This paper cites Attention Is All You Need.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Attention Is All You Need

Reference 2017

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Observation de8b16c3-d42b-4813-b547-85df3653e55d · outbound

This paper cites Language Models are Few-Shot Learners.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Language Models are Few-Shot Learners

Reference 2020

Resolution
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Unavailable: canonical work link unavailable.

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Observation 5e9623ce-c70c-455c-a935-9773394a3670 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 2021

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1b2856d7-4c4e-40cf-82d5-ab379934c91d · outbound

This paper cites Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies

Reference 2023

Resolution
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Unavailable: canonical work link unavailable.

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Observation 5cf7e748-9af3-4adb-a4ff-063c9a350eb5 · outbound

This paper cites Using ChatGPT for Thematic Analysis.

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study Using ChatGPT for Thematic Analysis

Reference 2024

Resolution
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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.