Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity | Paper Citation Record

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This paper cites A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 1

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Observation 9c0ebfde-ab48-49ec-8e2a-1cead59d1cd1 · outbound

This paper cites Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.506174Z

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Observation e809b17f-3de1-4ef0-9dcd-6bdf7a7b40b8 · outbound

This paper cites Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing

Reference 3

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This paper cites Automated Question Generation for Science Tests in Arabic Language Using NLP Techniques.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Automated Question Generation for Science Tests in Arabic Language Using NLP Techniques

Reference 4

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This paper cites Transformer Models in Education: Summarizing Science Textbooks with AraBART, MT5, AraT5, and mBART.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Transformer Models in Education: Summarizing Science Textbooks with AraBART, MT5, AraT5, and mBART

Reference 5

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This paper cites Generative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Generative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions

Reference 6

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This paper cites A survey of GPT -3 family large language models including ChatGPT and GPT -4,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity A survey of GPT -3 family large language models including ChatGPT and GPT -4,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.487367Z

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Observation 44df36bb-8e77-47f9-9419-68bdcb6411e6 · outbound

This paper cites Multitask Learning for Crash Analysis: A Fine- Tuned LLM Framework Using Twitter Data,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Multitask Learning for Crash Analysis: A Fine- Tuned LLM Framework Using Twitter Data,

Reference 8

Resolution: verified exact; doi, observed 2026-08-10T21:57:16.370755Z

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Observation 7f3fb37f-34c9-4882-9550-cb4285d3aee3 · outbound

This paper cites Using Multimodal Large Language Models (MLLMs) for Automated Detection of Traffic Safety-Critical Events,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Using Multimodal Large Language Models (MLLMs) for Automated Detection of Traffic Safety-Critical Events,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.469052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1663b714-2047-4a94-bf48-52930285acca · outbound

This paper cites A Framework for Detecting AI -Generated Text in Research Publications,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity A Framework for Detecting AI -Generated Text in Research Publications,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.452042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6cba4887-4f82-4ba3-8c09-ff55c0aa8f4f · outbound

This paper cites Real or fake text?: Investigating human ability to detect boundaries between human-written and machine-generated text,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Real or fake text?: Investigating human ability to detect boundaries between human-written and machine-generated text,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.435539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e17375a2-887b-4ad3-8dea-eaed2bfe7740 · outbound

This paper cites Differentiate ChatGPT-generated and Human-written Medical Texts.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Differentiate ChatGPT-generated and Human-written Medical Texts

Reference 12

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Source-reported events for the cited work

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This paper cites ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated Text.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated Text

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:16.078690Z

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Observation 2bca76f8-f470-45d9-a223-c79e6ac17b1f · outbound

This paper cites Distinguishing Human Generated Text From ChatGPT Generated Text Using Machine Learning.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Distinguishing Human Generated Text From ChatGPT Generated Text Using Machine Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:16.084870Z

Source-reported events for the cited work

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This paper cites CHEAT: A Large-scale Dataset for Detecting ChatGPT-writtEn AbsTracts.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity CHEAT: A Large-scale Dataset for Detecting ChatGPT-writtEn AbsTracts

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:16.091071Z

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This paper cites Classification of Human -and AI-Generated Texts: Investigating Features for ChatGPT,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Classification of Human -and AI-Generated Texts: Investigating Features for ChatGPT,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.418493Z

Source-reported events for the cited work

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Observation 796c907f-6c3d-471a-9c75-adfb37dfbfb9 · outbound

This paper cites Differentiating Chat Generative Pretrained Transformer from Humans: Detecting ChatGPT-Generated Text and Human Text Using Machine Learning,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Differentiating Chat Generative Pretrained Transformer from Humans: Detecting ChatGPT-Generated Text and Human Text Using Machine Learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.401271Z

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Observation 5e91c820-b49a-410c-a098-ee96b48c0a2f · outbound

This paper cites A comparison of ChatGPT-generated articles with human-written articles,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity A comparison of ChatGPT-generated articles with human-written articles,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.383849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d0caedf1-2aca-435a-8ca9-b549ac3f35ec · outbound

This paper cites Distinguishing Human-Written and ChatGPT-Generated Text Using Machine Learning,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Distinguishing Human-Written and ChatGPT-Generated Text Using Machine Learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.367134Z

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Observation f9bac6e8-0aca-4fc3-a11e-8c5a44ae8adc · outbound

This paper cites A survey on text pre -processing & feature extraction techniques in natural language processing,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity A survey on text pre -processing & feature extraction techniques in natural language processing,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.349404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e7ae857e-5743-45a6-9788-aa10682f0345 · outbound

This paper cites Sentiment classification: Review of text vectorization methods: Bag of words, Tf-Idf, Word2vec and Doc2vec,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Sentiment classification: Review of text vectorization methods: Bag of words, Tf-Idf, Word2vec and Doc2vec,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.332676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 86b7948c-66b3-4799-965e-035483ff20a1 · outbound

This paper cites Supervised machine learning algorithms: classification and comparison,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Supervised machine learning algorithms: classification and comparison,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.315402Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0f88ba22-906b-465f-90f6-fb4ab965f892 · outbound

This paper cites Impact of risk factors on work zone crashes using logistic models and Random Forest,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Impact of risk factors on work zone crashes using logistic models and Random Forest,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.296716Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0bf11f39-1d2e-459a-8f1d-4ba8ca31a42a · outbound

This paper cites ML-CCD: machine learning model to predict concrete cover delamination failure mode in reinforced concrete beams strengthened with FRP sheets,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity ML-CCD: machine learning model to predict concrete cover delamination failure mode in reinforced concrete beams strengthened with FRP sheets,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.279674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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This paper cites Random forests and decision trees,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Random forests and decision trees,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.262655Z

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Observation 72586853-844c-43e0-a2a2-eed1fb0f1c08 · outbound

This paper cites Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.245939Z

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Observation e024914b-4f2c-4389-9f1d-2cf653e6c0c7 · outbound

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Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Driving style classification using a semisupervised support vector machine,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.229378Z

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Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Modeling bike availability in a bike-sharing system using machine learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.212087Z

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Observation aa3b0492-8ea4-47ab-b163-bb276320c8b1 · outbound

This paper cites Estimation of diabetes in a high -risk adult Chinese population using J48 decision tree model,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Estimation of diabetes in a high -risk adult Chinese population using J48 decision tree model,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.194699Z

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Observation 90f0e0d4-a9ba-4762-bec4-d83058345488 · outbound

This paper cites An efficient predictive model for myocardial infarction using cost -sensitive j48 model,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity An efficient predictive model for myocardial infarction using cost -sensitive j48 model,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.178079Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4b8a75ba-a567-4ff3-84f4-7bcf8398007b · outbound

This paper cites Insights into geospatial heterogeneity of landslide susceptibility based on the SHAP-XGBoost model,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Insights into geospatial heterogeneity of landslide susceptibility based on the SHAP-XGBoost model,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.160712Z

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Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Efficient estimating compressive strength of ultra -high performance concrete using XGBoost model,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.143889Z

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Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Review of deep learning algorithms and architectures,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.125574Z

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Observation 7424160f-c0c9-4b84-844e-8c52f0642dc1 · outbound

This paper cites Convolutional neural network for trajectory prediction,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Convolutional neural network for trajectory prediction,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.108147Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 88deed7b-ad78-4176-83c8-594bcf5c2a4f · outbound

This paper cites Convolutional neural networks for breast cancer detection in mammography: A survey,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Convolutional neural networks for breast cancer detection in mammography: A survey,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.088206Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 713cab68-3677-4c92-89a5-cf9a55982ca0 · outbound

This paper cites Deep transfer learning for vulnerable road users detection using smartphone sensors data,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Deep transfer learning for vulnerable road users detection using smartphone sensors data,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.071574Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 03cf2cec-7ca4-4a6c-ab9f-28aa7e02edd5 · outbound

This paper cites Deep learning methods in transportation domain: a review,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Deep learning methods in transportation domain: a review,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:17.055289Z

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Observation 66858b7d-056e-4b6e-b5a2-a8d4667dde52 · outbound

This paper cites Comparing machine learning and deep learning methods for real- time crash prediction,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Comparing machine learning and deep learning methods for real- time crash prediction,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.910357Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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This paper cites Magician’s corner: 9. Performance metrics for machine learning models,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Magician’s corner: 9. Performance metrics for machine learning models,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.892701Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fc721c57-a4db-42ee-8a17-f00e785d5d99 · outbound

This paper cites Overview of explainable AI methods in NLP - deepsense.ai.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Overview of explainable AI methods in NLP - deepsense.ai

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.873979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f8349029-c66f-415a-a6b4-83c9db9e32f1 · outbound

This paper cites A survey on XAI and natural language explanations,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity A survey on XAI and natural language explanations,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.853763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2905d00d-80d7-4e9a-99ea-6e0cc42bf340 · outbound

This paper cites ‘ Why should i trust you?’ Explaining the predictions of any classifier,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity ‘ Why should i trust you?’ Explaining the predictions of any classifier,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.835156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 97edf884-11a5-44c5-a004-8afa9fa6d172 · outbound

This paper cites GPTZero | The Trusted AI Detector for ChatGPT, GPT -4, & More.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity GPTZero | The Trusted AI Detector for ChatGPT, GPT -4, & More

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.816436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ff74fa11-58b0-456e-b304-244620b2fee4 · outbound

This paper cites Princeton student creates GPTZero tool to detect ChatGPT-generated text - The Washington Post.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Princeton student creates GPTZero tool to detect ChatGPT-generated text - The Washington Post

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.798758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5685dedc-b7e5-4bd9-b06c-09fb142db3a9 · outbound

This paper cites GPTZero - Wikipedia.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity GPTZero - Wikipedia

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.770391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 566adca6-d0f1-44d5-9c0e-c6b97e04634c · outbound

This paper cites GPTZero performance in identifying artificial intelligence -generated medical texts: a preliminary study,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity GPTZero performance in identifying artificial intelligence -generated medical texts: a preliminary study,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.750051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fa5d2a26-39e6-4ad8-a4cf-327b06016a27 · outbound

This paper cites ChatGPT and GPTZero in Research and Social Media: A Sentiment-and Topic-based Analysis,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity ChatGPT and GPTZero in Research and Social Media: A Sentiment-and Topic-based Analysis,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.730456Z

Source-reported events for the cited work

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Observation 56f36dae-3028-4660-8d38-194823b7f927 · outbound

This paper cites DeepTextMark: A Deep Learning-Driven Text Watermarking Approach for Identifying Large Language Model Generated Text.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity DeepTextMark: A Deep Learning-Driven Text Watermarking Approach for Identifying Large Language Model Generated Text

Reference 48

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Observation 6b86e3a0-5e92-4cba-802c-453a833bcc88 · outbound

This paper cites Generative Artificial Intelligence in Higher Education: Exploring ways of harnessing pedagogical Practices with the assistance of ChatGPT,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Generative Artificial Intelligence in Higher Education: Exploring ways of harnessing pedagogical Practices with the assistance of ChatGPT,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.711799Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 134beae8-1951-48e6-85cf-4541a23c0128 · outbound

This paper cites The influence of ChatGPT on student engagement: A systematic review and future research agenda,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity The influence of ChatGPT on student engagement: A systematic review and future research agenda,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.694739Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b673d505-3bc6-4da6-920e-bb9612aa9e02 · outbound

This paper cites Comparing Human -made and AI - generated Teaching Videos: An Experimental Study on Learning Effects,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Comparing Human -made and AI - generated Teaching Videos: An Experimental Study on Learning Effects,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.675339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0280fed8-aab5-4766-b13a-a267e74da51b · outbound

This paper cites Integrating generative AI in education: how ChatGPT brings challenges for future learning and teaching,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Integrating generative AI in education: how ChatGPT brings challenges for future learning and teaching,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.657768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 173d288c-435f-40a5-ace6-550f7b637102 · outbound

This paper cites ChatGPT improves creative problem -solving performance in university students: An experimental study,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity ChatGPT improves creative problem -solving performance in university students: An experimental study,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.638587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9de8df93-c424-49d2-a303-472ca925499e · outbound

This paper cites Evaluating the impact of students’ generative AI use in educational contexts,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Evaluating the impact of students’ generative AI use in educational contexts,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.621871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b9cb505d-b555-45dd-a093-3694498fdf20 · outbound

This paper cites Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning,.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:16.603327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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