Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T00:28:09.880472Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2607.15006.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T00:28:09.880472Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
37 of 37 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ecbea843-1e62-4c3f-95dd-4297f9ae5936 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration University students’ insights of generative artificial intelligence (ai) writing tools.Education Sciences, 14(10):1062, 2024
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cf46bf5-3e76-4925-8b8f-26d9f2fdfadd · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Unresolved cited work
Reference 2
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Observation 44ade466-8ff6-4ec9-9e67-e387af392669 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration The ai ghostwriter effect: When users do not perceive ownership of ai-generated text but self-declare as authors.ACM Transactions on Computer-Human Interaction, 31(2):1–40, 2024
Reference 3
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Observation 591d80bf-b345-4d52-b40c-c3bfe43e766c · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration AI in writing class: Editor, co-author, ghostwriter, or muse? Medium, 2024
Reference 4
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Observation 0149e774-ea44-456e-a588-2cb56a0c2d7f · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration The impact of large language models on higher education: exploring the connection between ai and education 4.0
Reference 5
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Observation 375b00e1-f703-4777-8736-26a505a07848 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Revolutionizing education with ai: Exploring the transformative potential of chatgpt.Contemporary educational technology, 15(3), 2023
Reference 6
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Observation 7f287b33-1e1d-46a9-9342-905965b40181 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration The promise and challenges of generative ai in education
Reference 7
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Observation 2ba17d6b-8899-45e2-b72d-43a07cf1e163 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration The role of metacognition in enhancing learning.Australian Journal of education, 32(2):127–138, 1988
Reference 8
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Observation c5ae3b9f-6fbb-4a5f-817a-95943be78ef1 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Calibration of probabilities: The state of the art
Reference 9
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Observation 9a165f67-9496-4f2e-9101-ea6dd1e86a24 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Calibration: What is it and why it matters? an introduction to the special issue on calibrating calibration.Learning and Instruction, 24:1–3, 2013
Reference 10
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Observation e4ae9151-0c63-4160-8f83-564ef5a98e44 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Coauthor: Designing a human-ai collaborative writing dataset for exploring language model capabilities
Reference 11
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Observation 06b47b32-3b5e-4cad-bac5-8d5e1002404d · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Art and the science of generative ai.Science, 380(6650):1110–1111, 2023
Reference 12
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Unavailable: canonical work link unavailable.
Observation 24507327-74d3-4abe-bd07-0f60b1e53e42 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Exploring User Perspectives on ChatGPT: Applications, Perceptions, and Implications for AI-Integrated Education
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19f6c5d1-8a05-455b-a7b1-a37f863acbf4 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Unresolved cited work
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dfd0dc1-2caa-4652-b8e7-067b7897ab5a · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration A comprehensive review on generative ai for education.Ieee Access, 12:142733–142759, 2024
Reference 15
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Observation c741ab4f-24d9-49be-8017-ef2dc9ade3fb · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Generative AI in the Classroom: Can Students Remain Active Learners?
Reference 16
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Observation e63f102e-39f3-47b0-8ffe-3fccd7214719 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Unresolved cited work
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbd074ee-8c37-421f-8af9-d5732bc6ec2e · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Human-ai interaction: intermittent, continuous, and proactive.Interactions, 28(6):67–71, 2021
Reference 18
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Observation 6e24c5e0-3699-4404-83d5-e63b6978b26d · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration A multidimensional taxonomy for learner-ai interaction.Education and Information Technologies, 29(14):18361–18378, 2024
Reference 19
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Unavailable: canonical work link unavailable.
Observation 4996d504-9cee-40ca-a11b-8cc8e5aceb01 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Human-ai collaboration patterns in ai-assisted academic writing.Studies in Higher Education, 49(5):847–864, 2024
Reference 20
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Observation 37ef9794-7490-4a50-8aeb-1987a4fbe37c · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Modifying ai, enhancing essays: How active engagement with generative ai boosts writing quality
Reference 21
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Observation 6643831c-7b44-44ca-a2f4-7e0cc6e91a37 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Generative models can help writers without writing for them
Reference 22
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Observation 67ed0bc6-c56a-4d35-a4c0-84de9b4d206f · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Supporting learner agency in collaborative writing with generative ai.British Journal of Educational Technology, 2025
Reference 23
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Observation 3538f8c5-e161-4594-add5-a7a6408a53bd · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Genai et al
Reference 24
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Observation 8c62a5b0-fc85-41f6-a596-5d7fc6224163 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Assessment in the age of artificial intelligence.Computers and Education: Artificial Intelligence, 3:100075, 2022
Reference 25
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Observation 9b9bdbff-819a-4d5e-a319-38b3e08f80b9 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Evidence-centered assess- ment for writing with generative ai
Reference 26
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Observation cd99fba3-3fbf-4bd2-adf2-ac5c3ec6ccd8 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Exploring human-ai collaboration in educational contexts: Insights from writing analytics and authorship attribution
Reference 27
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Observation 2621c6a7-8b19-4afa-b2c6-3cadc7f3576d · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Automatic authorship analysis in human-ai collaborative writing
Reference 28
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Observation 4c0848c3-1c28-4e74-a379-42d13d0c5700 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Visual repre- sentation of co-authorship with gpt-3: Studying human-machine interaction for effective writing.International Educational Data Mining Society, 2023
Reference 29
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Observation 38761e53-d1d0-49f7-95dd-cf1a358e7cdb · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Visualizing authorship and contribution of collaborative writing in e-learning environments
Reference 30
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Observation 0897f8f5-a1c4-456e-bce7-c888afa17c95 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration The hallmark effect: Supporting provenance and transparent use of large language models in writing with interactive visualization
Reference 31
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Observation 10f6e0c4-ef0c-4472-a82e-a7742fe878af · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry
Reference 32
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Observation 885076ce-a1b2-4e38-8696-6c2ed1cc09f3 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration A conceptual framework for assessing motivation and self-regulated learning in college students
Reference 33
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Observation 92e3050a-b67d-40e4-a3e4-52b5996369f9 · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Becoming a self-regulated learner: An overview.Theory into practice, 41(2):64–70, 2002
Reference 34
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Observation bbeaac82-945d-4063-b688-0c21f131b07c · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Using automated time management enablers to improve self-regulated learning.Active Learning in Higher Education, 23(1):3–15, 2022
Reference 35
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Observation 5d20b5b9-b326-46f5-a56a-1a25f1ae64bc · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Enhancing self-regulated learning and learning experience in generative ai environments: The critical role of metacognitive support.British Journal of Educational Technology, 2025
Reference 36
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Observation 7f5deff4-c94b-4fe8-8aa3-cfac3190357b · outbound
When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration Exploring the relationship between calibration and self-regulated learning.Educational psychology review, 12(4):437–475, 2000
Reference 37
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No inbound Pith citation observations are available.