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Paper Citation Record · LEDGER

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media

As of 10 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2509.10584.

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

pith.paper-citation-record.v1
2509.10584 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:34:02.026282Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation f626732b-34de-49ce-bc45-f17546e3ff51 · outbound

This paper cites Llama 3 model card.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Llama 3 model card

Reference 1

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Observation 86f7a1fb-4473-4c7f-8ef4-cc32dab703d7 · outbound

This paper cites Idofew: intermediate training using dual-clustering in language models for few labels text classification.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Idofew: intermediate training using dual-clustering in language models for few labels text classification

Reference 2

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Observation 17a43301-5479-452c-a738-5b3a9804dacb · outbound

This paper cites Introducing the next generation of claude, March 2024.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Introducing the next generation of claude, March 2024

Reference 3

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Observation 95be5dfd-5b47-4d7d-a649-e50570c513a1 · outbound

This paper cites System card: Claude opus 4 & claude sonnet 4, May 2025.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media System card: Claude opus 4 & claude sonnet 4, May 2025

Reference 4

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Observation 52b8709e-c2aa-474a-8def-3707c465da26 · outbound

This paper cites Artificial intelligence tool for opti- mizing eligibility screening for clinical trials in a large community cancer center.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Artificial intelligence tool for opti- mizing eligibility screening for clinical trials in a large community cancer center

Reference 5

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Observation 16138836-b669-4d6f-8c00-832bf7b5f894 · outbound

This paper cites Language models are few-shot learners.Advances in neural infor- mation processing systems, 33:1877–1901, 2020.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Language models are few-shot learners.Advances in neural infor- mation processing systems, 33:1877–1901, 2020

Reference 6

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Observation 20e9580d-91b3-4c67-be66-6203e89d9b3a · outbound

This paper cites Improving the efficiency of clinical trial recruitment using an ensemble machine learning to assist with eligibility screening.ACR open rheumatology, 3(9):593–600, 2021.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Improving the efficiency of clinical trial recruitment using an ensemble machine learning to assist with eligibility screening.ACR open rheumatology, 3(9):593–600, 2021

Reference 7

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Observation cf7050a1-9499-4308-8215-9a646a93d1fe · outbound

This paper cites an unresolved cited work.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Unresolved cited work

Reference 8

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Observation f9b101e1-3a4d-4311-840a-a7da9eaa3a21 · outbound

This paper cites Visual field endpoints for neuroprotective trials: a case for ai-driven patient enrichment.American journal of ophthalmology, 243:118–124, 2022.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Visual field endpoints for neuroprotective trials: a case for ai-driven patient enrichment.American journal of ophthalmology, 243:118–124, 2022

Reference 9

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Observation c4fc6bec-9e21-46f0-9e40-3e84d552eb95 · outbound

This paper cites TRACT: Regression-aware fine-tuning meets chain-of-thought reasoning for LLM-as-a-judge.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media TRACT: Regression-aware fine-tuning meets chain-of-thought reasoning for LLM-as-a-judge

Reference 10

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Observation e31134ba-4fc5-45aa-b1c0-30116d09fd6c · outbound

This paper cites Clinical trial delays: America ˘2019s patient recruit- ment dilemma.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Clinical trial delays: America ˘2019s patient recruit- ment dilemma

Reference 11

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Observation 14222a58-91c1-4347-99c7-a4d958b7d31f · outbound

This paper cites The role of social media in enhancing clinical trial recruitment: scoping review.Journal of medical Internet research, 22(10):e22810, 2020.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media The role of social media in enhancing clinical trial recruitment: scoping review.Journal of medical Internet research, 22(10):e22810, 2020

Reference 12

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Observation 7bbbebde-387b-4cc8-a653-e1b4dee3ebaa · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

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Observation a4752576-d634-4e17-872a-cc64dde87848 · outbound

This paper cites Selecting sites and investigators.Applied clinical trials, 11(3): 56–66, 2002.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Selecting sites and investigators.Applied clinical trials, 11(3): 56–66, 2002

Reference 14

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Observation 0d235a8c-3cc7-47ed-aead-84581014c73a · outbound

This paper cites Machine learning predictive models can improve efficacy of clinical trials for alzheimer’s disease.Journal of Alzheimer’s Disease, 74(1):55–63, 2020.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Machine learning predictive models can improve efficacy of clinical trials for alzheimer’s disease.Journal of Alzheimer’s Disease, 74(1):55–63, 2020

Reference 15

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Observation 1790c329-c59f-4574-a6b9-547269fc4c69 · outbound

This paper cites What do people really know and think about clinical trials? a comparison of rural and urban communities in the south.Journal of Community Health, 38(4):642–651, 2013.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media What do people really know and think about clinical trials? a comparison of rural and urban communities in the south.Journal of Community Health, 38(4):642–651, 2013

Reference 16

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Observation d4f6e672-103f-4d57-9450-f8a9f6145514 · outbound

This paper cites Real-time virtual human for promoting clinical trial education and recruitment.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Real-time virtual human for promoting clinical trial education and recruitment

Reference 17

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Observation 3d5bd018-bcda-4892-bfdb-c067d240dd77 · outbound

This paper cites Optimizing clinical trials recruitment via deep learning.Journal of the American Medical Informatics Association, 26(11):1195–1202, 2019.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Optimizing clinical trials recruitment via deep learning.Journal of the American Medical Informatics Association, 26(11):1195–1202, 2019

Reference 18

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Observation 8643dd1a-745a-46b8-afdf-d86fe728bad6 · outbound

This paper cites The Llama 3 Herd of Models.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media The Llama 3 Herd of Models

Reference 19

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Observation 7c6aa157-61b6-4708-a89e-64469ab623a3 · outbound

This paper cites CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study

Reference 20

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Observation 485e3cea-f5b2-4cf1-9d9b-04f5e7555b31 · outbound

This paper cites Strategies addressing barriers to clinical trial enrollment of underrepresented populations: a systematic review.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Strategies addressing barriers to clinical trial enrollment of underrepresented populations: a systematic review

Reference 21

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Observation 1bf970b5-d3b4-4c8b-aa38-e86cc0f00525 · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

Reference 22

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Observation f43e09d0-7061-4f61-b50b-5390ab2c3c8c · outbound

This paper cites Enhancing large language models in coding through multi-perspective self-consistency.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Enhancing large language models in coding through multi-perspective self-consistency

Reference 23

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Observation ba8bcccd-c0c7-41f8-80aa-4911e00de80a · outbound

This paper cites Mistral 7B.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Mistral 7B

Reference 24

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Observation cd6a3aef-b95c-4ceb-853f-cdd281c8106d · outbound

This paper cites Robust training for conversational question answering models with reinforced reformulation generation.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Robust training for conversational question answering models with reinforced reformulation generation

Reference 25

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Observation 7bf92e4b-0279-4e9c-892c-2b6158659bcd · outbound

This paper cites Tailoring recruitment communication using virtual human technology to increase participation of older minority adults in clinical trials.Alzheimer’s & Dementia, 18:e064306, 2022.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Tailoring recruitment communication using virtual human technology to increase participation of older minority adults in clinical trials.Alzheimer’s & Dementia, 18:e064306, 2022

Reference 26

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Observation 730f77ee-26a7-47f2-88c6-03564c1c2644 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020

Reference 27

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Observation 087fb869-bdf2-49db-a898-3b66ed526820 · outbound

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

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 28

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Observation a0c9bec2-60c2-4219-8a68-2239d2b33190 · outbound

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Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Unresolved cited work

Reference 29

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Observation 1340c393-5344-47b2-97c6-dd81475b9201 · outbound

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Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Unresolved cited work

Reference 30

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Observation 32ce2860-0149-4b84-8126-b3335aadd309 · outbound

This paper cites Untapping the power of indirect relationships in entity summarization.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Untapping the power of indirect relationships in entity summarization

Reference 31

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Observation a58ead51-8f87-4937-8cc5-2e23bd960394 · outbound

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Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media GPT-4 Technical Report

Reference 32

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Observation 0a34d0b5-e116-48c8-9899-12ead244441a · outbound

This paper cites A Deep Reinforced Model for Abstractive Summarization.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media A Deep Reinforced Model for Abstractive Summarization

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Observation e1fb7bd5-dfee-437a-9e3f-5eab80a6f190 · outbound

This paper cites Language Models as Knowledge Bases?.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Language Models as Knowledge Bases?

Reference 34

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Observation 89778044-2d7b-416d-bc72-2e783570e295 · outbound

This paper cites Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

Reference 35

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Observation e5cea11f-27c9-4e58-86b8-a2c3ac301a88 · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Qwen2.5: A party of foundation models, September 2024

Reference 36

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Observation 2f995b1d-06fa-461e-82a5-3debb8ed3544 · outbound

This paper cites The use of social media in recruit- ment for medical research studies: a scoping review.Journal of medical Internet research, 18(11):e286, 2016.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media The use of social media in recruit- ment for medical research studies: a scoping review.Journal of medical Internet research, 18(11):e286, 2016

Reference 37

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source=pdf_text observed=2026-08-04T18:34:00.123064Z digest=sha256:3eff04a42d3610194862ab7b947793ac3aea7088b140c3a1057eaaf142667ebd

Observation c052f7f7-60de-4a78-9199-efe09125dbf5 · outbound

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

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media LLaMA: Open and Efficient Foundation Language Models

Reference 38

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Observation f50735b2-5b8e-4edf-9529-bed67f90b709 · outbound

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

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 39

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Observation 8b257555-edfb-4621-b92e-3c47924f5b00 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Finetuned Language Models Are Zero-Shot Learners

Reference 40

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no resolver link, observed 2026-08-04T18:34:00.859567Z

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Observation 347aeb37-f78c-4cc9-8ca7-0223a37829ea · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35: 24824–24837, 2022.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35: 24824–24837, 2022

Reference 41

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source=pdf_text observed=2026-08-04T18:34:01.017342Z digest=sha256:02b234125c187109248f3635da4ae918395f477e34aa1239aba2cea58fbc726a

Observation 9a4ea4b2-575b-4f69-a1d3-a9df859d2a3d · outbound

This paper cites Lighter and better: Towards flexible context adaptation for retrieval augmented generation.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Lighter and better: Towards flexible context adaptation for retrieval augmented generation

Reference 42

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source=pdf_text observed=2026-08-04T18:34:01.175484Z digest=sha256:5125dc45c0ea157837e831675f7f33c26d93b687c62f46614d40acc4bb3705cb

Observation 821ef580-0afb-47f1-9907-87a334796b9e · outbound

This paper cites an unresolved cited work.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Unresolved cited work

Reference 43

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no resolver link, observed 2026-08-04T18:34:01.315041Z

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source=pdf_text observed=2026-08-04T18:34:01.315041Z digest=sha256:15ba863b9768b6267c5b1f9395e5e107a031dda9bf7cc8a3be6e2a1af0283d73

Observation 00ec12cd-236e-42be-a57f-c1d769e88f3b · outbound

This paper cites Qwen2 Technical Report.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Qwen2 Technical Report

Reference 44

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source=pdf_text observed=2026-08-04T18:34:01.513255Z digest=sha256:8e3d9212cfb6657eaa18aeaecf5421011fc002072daea41ecc870f873a08d3b4

Observation b83bb39d-c0cc-44f5-9998-cc472e92088f · outbound

This paper cites Gap: a grammar and position-aware framework for efficient recognition of multi-line mathematical formulas.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Gap: a grammar and position-aware framework for efficient recognition of multi-line mathematical formulas

Reference 45

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no resolver link, observed 2026-08-04T18:34:01.674315Z

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source=pdf_text observed=2026-08-04T18:34:01.674315Z digest=sha256:ddfd5decb3802253ed901fe5f9fc953f74cd4c41f689f5530a4a4dcc76813b98

Observation c3724c89-4ef1-4e8c-9188-a4a5f191721b · outbound

This paper cites Explainable ctr prediction via llm reasoning.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Explainable ctr prediction via llm reasoning

Reference 46

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source=pdf_text observed=2026-08-04T18:34:01.850443Z digest=sha256:23c5046b0e753cef515b6475cf72889e9b27dda18b73bde0e66667465ccca992

Observation b05ec76d-c1ca-4e8b-bc9c-17218afa2dba · outbound

This paper cites Importance of clinical trials and contributions to contemporary medicine: commentary.Annals of Medicine, 57(1):2451190, 2025.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Importance of clinical trials and contributions to contemporary medicine: commentary.Annals of Medicine, 57(1):2451190, 2025

Reference 47

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no resolver link, observed 2026-08-04T18:34:02.026282Z

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source=pdf_text observed=2026-08-04T18:34:02.026282Z digest=sha256:fc91827fa891d8a848fa8cbe58d035f2f0c2cd7e0f453b6628543829f6d35673

Observation d8497adf-f3f1-48a6-a335-2a0af4a58c47 · outbound

This paper cites an unresolved cited work.

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media Unresolved cited work

Reference 2023

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Pith citing papers

No inbound Pith citation observations are available.