Paper Citation Record · LEDGER

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

As of 13 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

Typed states for the displayed outbound observations.

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

measured 38 of 38 standing notices

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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Observation 2b34dc92-0f49-4e0c-8369-b3a78ca80f9b · outbound

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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Observation c98bb2e5-bbc9-4c05-b67c-621f68ac50b2 · outbound

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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Observation 2933c2fe-a75c-467b-a049-46280471091b · outbound

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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Observation 08a497a8-376f-4727-92d0-a22d9bd4f479 · outbound

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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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

Reference 29

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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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This paper cites Brain network extraction from probabilistic ica using functional magnetic resonance images and advanced template matching techniques.

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

No inbound Pith citation observations are available.