Typed states for the displayed outbound observations.
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Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 0 inbound Pith citation observations for arXiv:2501.02090.
A citation records a reference. It does not transfer a finding from one paper to another.
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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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A source-named dated measurement, never combined with another source.
Source: cited_works
90 of 90 outbound references displayed
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Retrieved December 8, 2023, from https://dictionary
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Retrieved December 9, 2023, from https://www.revolutionlearning.co.uk/article/different-types-of-questions/
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Miller, 15 Reasons to Ask Questions, QBQ, 2014
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Acar, Creativity Assessment, Research, and Practice in the Age of Artificial Intelligence , in: Creativity Research Journal, 2023, https://doi.org/10.1080/10400419.2023.2271749
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Reiter-Palmon, M
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Adams, Conducting semi-structured interviews, Handbook of practical program evaluation, pp.492–505, 2015, Wiley Online Library
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Anderson, D.R
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Rutka, Bloom’s Taxonomy Question Stems for Use in Assessment, Top Hat, 2023
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Krathwohl, B.S
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Simpson, The Classification of Educational Objectives, Psychomotor Domain, 1972
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Reference 22
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Applying Text Mining to Analyze Human Question Asking in Creativity Research What makes us curious? analysis of a corpus of open-domain questions
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Reference 34
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Rush, D.C
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Vinogradova, Automated Vocabulary Evaluation in a Learner Corpus
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Johnson et al., Divergent semantic integration (DSI): Extracting creativity from narratives with distributional semantic modeling , Behav Res Methods 55(7), October 2022, 3726–3759
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Unresolved cited work
Reference 47
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Flesch, How to Write Plain English: a Book for Lawyers and Consumers, University of Canterbury, 1979
Reference 48
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Unresolved cited work
Reference 49
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Hussin, Refining the Flesch Reading Ease Formula for Intermediate and High-Intermediate ESL Learners, 2015
Reference 50
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Reference 52
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Attention Is All You Need
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Applying Text Mining to Analyze Human Question Asking in Creativity Research BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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Reference 69
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Toews, The Next Generation of Large Language Models , Forbes, 2023
Reference 72
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Applying Text Mining to Analyze Human Question Asking in Creativity Research Newman, Exploring The Ins And Outs Of The Generative AI Boom , Forbes, 2023
Reference 73
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Reference 74
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Reference 75
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Reference 80
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Reference 81
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