Paper Citation Record · LEDGER

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches

As of 17 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2411.17943.

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

pith.paper-citation-record.v1
2411.17943 v1

Coverage vector

measured 38 of 38 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-12T11:42:51.874336Z

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation 9daedb5f-5bc9-4788-a9fc-f3f91922298e · outbound

This paper cites The genai is out of the bottle: generative artificial intelligence from a business model innovation perspective.

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches The genai is out of the bottle: generative artificial intelligence from a business model innovation perspective

Reference 1

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Observation d079f047-e7e9-4cf5-8806-4ceff7eb7b58 · outbound

This paper cites Opportunities in research for generative artificial intelligence (genai), challenges and future direction: A study.

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Opportunities in research for generative artificial intelligence (genai), challenges and future direction: A study

Reference 2

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This paper cites Explainable generative ai (genxai): A survey, conceptualization, and research agenda.

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Explainable generative ai (genxai): A survey, conceptualization, and research agenda

Reference 3

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This paper cites Leveraging genai for clinical data analysis: Applications and challenges in real-time patient monitoring.

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Leveraging genai for clinical data analysis: Applications and challenges in real-time patient monitoring

Reference 4

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Observation c8564dfb-dcef-4cdb-aafb-3f9b7a1fd1f7 · outbound

This paper cites Utilizing nlp sentiment analysis approach to categorize amazon reviews against an extended testing set.

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Utilizing nlp sentiment analysis approach to categorize amazon reviews against an extended testing set

Reference 5

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This paper cites Effects of fennel (foeniculum vulgare) seed powder addition during early lactation on performance, milk fatty acid profile, and rumen fermentation parameters of holstein cows.

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Effects of fennel (foeniculum vulgare) seed powder addition during early lactation on performance, milk fatty acid profile, and rumen fermentation parameters of holstein cows

Reference 6

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This paper cites Deposition of a low-activity type cobalt-modified aluminide coating by slurry aluminizing of a pre-co-electroplated ni-based superalloy (in738lc).

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Deposition of a low-activity type cobalt-modified aluminide coating by slurry aluminizing of a pre-co-electroplated ni-based superalloy (in738lc)

Reference 7

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Observation b28178c9-b187-409b-8fcd-7aa0794d0fad · outbound

This paper cites All Artificial, Less Intelligence: GenAI through the Lens of Formal Verification.

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches All Artificial, Less Intelligence: GenAI through the Lens of Formal Verification

Reference 8

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This paper cites ChatGPT Application In Summarizing An Evolution Of Deep Learning Techniques In Imaging: A Qualitative Study.

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches ChatGPT Application In Summarizing An Evolution Of Deep Learning Techniques In Imaging: A Qualitative Study

Reference 9

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This paper cites 24-hour postnatal total serum protein concentration affects the health and growth performance of female holstein dairy calves.

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches 24-hour postnatal total serum protein concentration affects the health and growth performance of female holstein dairy calves

Reference 10

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This paper cites Ovitad: Optimized vision transformer to predict various stages of alzheimer’s disease using resting-state fmri and structural mri data.

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Ovitad: Optimized vision transformer to predict various stages of alzheimer’s disease using resting-state fmri and structural mri data

Reference 11

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This paper cites Reactive air aluminizing of a nickel-based superalloy (in738lc): Coating formation mechanism.

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Reactive air aluminizing of a nickel-based superalloy (in738lc): Coating formation mechanism

Reference 12

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Observation dd63a8dc-c9a8-4778-ac14-9a6f08440ecf · outbound

This paper cites Attention is all you need.

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Attention is all you need

Reference 13

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This paper cites Recent applications of deep learning algorithms in medical image analysis.

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Recent applications of deep learning algorithms in medical image analysis

Reference 14

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This paper cites Deposition of mono dispersed co--ceo2 nanocomposite coatings by a sol-enhanced pulsed reverse electroplating: process parameters screening.

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Deposition of mono dispersed co--ceo2 nanocomposite coatings by a sol-enhanced pulsed reverse electroplating: process parameters screening

Reference 15

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This paper cites A comprehensive review of deep learning architectures for computer vision applications.

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches A comprehensive review of deep learning architectures for computer vision applications

Reference 16

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This paper cites Optimal topology of vision transformer for real-time video action recognition in an end-to-end cloud solution.

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Optimal topology of vision transformer for real-time video action recognition in an end-to-end cloud solution

Reference 17

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Observation 88eda50c-d364-45fe-8dbc-e5076d46f75d · outbound

This paper cites Exploring the use of generative artificial intelligence in systematic searching: A comparative case study of a human librarian, chatgpt-4 and chatgpt-4 turbo.

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Exploring the use of generative artificial intelligence in systematic searching: A comparative case study of a human librarian, chatgpt-4 and chatgpt-4 turbo

Reference 18

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Formulating A Strategic Plan Based On Statistical Analyses And Applications For Financial Companies Through A Real-World Use Case

Reference 19

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Using chatgpt to conduct a literature review

Reference 20

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Analysis and detection of ddos attacks using machine learning techniques

Reference 21

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Google deepmind’s gemini ai versus chatgpt: A comparative analysis in ophthalmology

Reference 22

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Repairing the cracks network of hard chromium electroplated layers using plasma nitriding technique

Reference 23

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Current stage of autonomous driving through a quick survey for novice

Reference 24

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Binary image classification through an optimal topology for convolutional neural networks

Reference 26

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Machine learning applications to recognize autism and alzheimer’s disease

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Mcadnnet: Recognizing stages of cognitive impairment through efficient convolutional fmri and mri neural network topology models

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches 5g emerging technology and affected industries: Quick survey

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches French Word Recognition through a Quick Survey on Recurrent Neural Networks Using Long-Short Term Memory RNN-LSTM

Reference 30

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Eeg-based movement imagery classification using machine learning techniques and welch’s power spectral density estimation

Reference 31

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Binary image segmentation using classification methods: Support vector machines, artificial neural networks and k th nearest neighbours

Reference 32

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Big data application in functional magnetic resonance imaging using apache spark

Reference 33

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Deep learning-based pipeline to recognize alzheimer's disease using fmri data

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:42:52.043880Z

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Deepad: Alzheimer’s disease classification via deep convolutional neural networks using mri and fmri

Reference 35

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Deep learning-based framework for autism functional mri image classification

Reference 36

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Mathematical modeling for predicting betamethasone profile and burst release from in situ forming systems based on plga

Reference 37

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Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches Brain network extraction from probabilistic ica using functional magnetic resonance images and advanced template matching techniques

Reference 38

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Pith citing papers

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