Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T09:46:50.373532Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 0 inbound Pith citation observations for arXiv:2607.05034.
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 2026-07-11T09:46:50.373532Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
99 of 99 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks InProceedings of the International Conference on Artificial Intelligence in Education (AIED)
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Santos, and Matthias Hauswirth
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Generative AI for Education (GAIED): Advances, Opportunities, and Challenges
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Becker, and Brent N
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Becker, James Finnie-Ansley, Arto Hellas, Juho Leinonen, Andrew Luxton-Reilly, Brent N
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Smith, Max Fowler, James Prather, Brett A
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Ericson et al
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Ericson, Lauren E
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Wünsche, and Paul Denny
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Fernandez and Kimberly A
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Kafura, and Jeremy Ernst
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Haynes and Barbara J
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Kaczmarczyk, Elizabeth R
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks InProceedings of the Technical Symposium on Computer Science Education (SIGCSE)
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Building AI Companions that Prioritise Learning over Performance
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Zilles, and Karrie Karahalios
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Markel, Steven G
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Morrison, Lauren E
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks InProceedings of the Technical Symposium on Computer Science Education (SIGCSE)
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Musser and Alexander A
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks InProceedings of the Australasian Computing Education Conference (ACE)
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Smith IV, Mounika Padala, Chris- tine Alvarado, Jamie Gorson Benario, and Leo Porter
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Whalley et al
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks Unresolved cited work
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