Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2307.16364.
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
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:41:05.728842Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
15
pith, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 770b35d0-4859-4415-b447-485b2ab66118 · inbound
"Give me the code" -- Log Analysis of First-Year CS Students' Interactions With GPT Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 040b979f-08d2-4344-a078-d8b450c7ecca · inbound
The Performance of the LSTM-based Code Generated by Large Language Models (LLMs) in Forecasting Time Series Data Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c04606b8-601a-4c1c-b9c8-0e7cbb040cbb · inbound
Seeing the Forest and the Trees: Solving Visual Graph and Tree Based Data Structure Problems using Large Multimodal Models Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3969840f-9d2c-43a8-97b8-fac0ab53557a · inbound
Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
Reference 33
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95c5877d-6fc5-455a-ae22-04ddea99bd20 · inbound
The Role of Generative AI in Software Student CollaborAItion Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba075231-ff60-4364-8637-ed83b5b07157 · inbound
Teaching Astronomy with Large Language Models Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c365b655-96ab-4b50-a652-648d744d821a · inbound
Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cce37f4e-eb5b-42c8-a08f-b50be4c51c08 · inbound
Structured Prompts, Better Outcomes? Exploring the Effects of a Structured Interface with ChatGPT in a Graduate Robotics Course Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 957832f8-1615-4c42-888e-7c29a00cf78f · inbound
Examining the Usage of Generative AI Models in Student Learning Activities for Software Programming Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c6d34f8-a27e-4154-84bf-906997e123da · inbound
Teaching Prompt-Based Programming with LLMs: A 45-Minute Lesson with Guided Practice for End-User Programmers Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ddbeb053-e00f-4cc3-8bff-49135d47a447 · inbound
When AI Is Wrong on Purpose: How Students Respond to Buggy GenAI Code Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8ce8963-8996-4c8f-92f3-dbeb5bb9ccfa · inbound
Say What? Examining Text and Voice Input Modalities for Prompt-Based Programming in Computing Education Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.