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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 17 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 2026-08-16T06:30:59.297886+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

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Source: cited_works

Reference resolution

48 of 48 outbound references displayed

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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

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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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source=pdf_text observed=2026-08-04T18:33:59.931040Z digest=sha256:c737f6009e44c0a6e420131c3ce1e0f40c03d96c90b071d0e0ef5a749a19a161

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:c182a2d0b28928618c4796f7a85c1dca23cbf5ff6ba14887123cd84c779313c2

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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source=pdf_text observed=2026-08-04T18:34:00.299413Z digest=sha256:ccf580d708b2485c7cad910b3d878b35aa1238f3bf5d457b13c7301bd0e8fa77

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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source=pdf_text observed=2026-08-04T18:34:00.657583Z digest=sha256:fcdc7748d44ac691821c91264ea60c370766c0343bb98488ce0643191c6a0921

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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source=pdf_text observed=2026-08-04T18:34:00.859567Z digest=sha256:ff2543403c6057604d6a535c847535e99bd79745426d2c50a9e1a46f0858edf1

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:ac2030d2db428d28ed8b899b7126cd632602cac72ca721ad86d182cf46fc960b

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=sha256:69118ad0b2d70d2c461e4a48831d2450ef532eb5a5406532c38732f13945b2aa

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:dd3f36bca8ccddb376be8c5c76d85694fa4da7197439b776d655d2e9f2992a23

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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no resolver link, observed 2026-08-04T18:34:01.513255Z

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source=pdf_text observed=2026-08-04T18:34:01.513255Z digest=sha256:f48cd994fd7bcf9b399c0724a00f1002b12675959ebfbadfe4fe13a375858bcd

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:fa504e5cfccab9169e696e8fb690c5c65e090df791c300f71fd64cfb43494ef8

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:a19fc296883daf87e4952d10a4ba0b154a44c80e35f5919a6d932aaa79042d51

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=sha256:95df01673dc14cb8fc2929a1b127d263f6a2a02c883287b5fa5fc399940995ab

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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source=pdf_text observed=2026-08-04T18:34:00.470697Z digest=sha256:430b2b5ba89e4ba1ca70631331e4eac4e56203e1f5b783b3493ab3f40d31cf2e

Pith citing papers

No inbound Pith citation observations are available.