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Paper Citation Record · LEDGER

Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators

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.

pith.paper-citation-record.v1
2307.16364 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:41:05.728842Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

15
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 770b35d0-4859-4415-b447-485b2ab66118 · inbound

"Give me the code" -- Log Analysis of First-Year CS Students' Interactions With GPT cites this paper.

"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

Resolution
unresolved
no resolver link, observed 2026-08-12T11:48:57.245834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:48:57.245834Z digest=sha256:95a416215b809663859da28019df216e320f6f994cb156983d92ff0a8a936b0d

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 cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-12T10:59:32.269622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:59:32.269622Z digest=sha256:2f6915777cbff8cf4595ba8a7c167e305f400d7cd9c86bc963401654bc6ddbfd

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 cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-11T15:22:13.342944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:22:13.342944Z digest=sha256:bf271dfc9a03db8c0c722dcd0dd070da5568c5f917b3ece80cae36d035cfd856

Observation 3969840f-9d2c-43a8-97b8-fac0ab53557a · inbound

Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-11T12:00:06.026055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:00:06.026055Z digest=sha256:b2ab2b6ed0bad03e71661bef84fa32ffe5457cf1e25d42eb69a73dfe65999e01

Observation 95c5877d-6fc5-455a-ae22-04ddea99bd20 · inbound

The Role of Generative AI in Software Student CollaborAItion cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-10T15:25:55.171665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:55.171665Z digest=sha256:0017ed0ab7fbb46fa8924c3eae5b80efe9f7ec72626eff471fa4f1d47b0a625d

Observation ba075231-ff60-4364-8637-ed83b5b07157 · inbound

Teaching Astronomy with Large Language Models cites this paper.

Teaching Astronomy with Large Language Models Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:17:15.311965Z

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.

source=pdf_text observed=2026-05-19T10:14:51.134936Z digest=sha256:74cc6a5a2526900b5342d41d40d601d062115d832ae10c59a9147fed3a475e2a

Observation c365b655-96ab-4b50-a652-648d744d821a · inbound

Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:41:05.728842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:41:05.728842Z digest=sha256:c5c9d37da474641933a7a299a01e50c5a174869158962e9336af361fdd1c462c

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 cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-06T18:36:57.304076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:36:57.304076Z digest=sha256:b10c74a7b6f22a7c1edbcf6b1345355364cd01c27f7d091a502c225de25553a1

Observation 957832f8-1615-4c42-888e-7c29a00cf78f · inbound

Examining the Usage of Generative AI Models in Student Learning Activities for Software Programming cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-03T21:52:48.551082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:52:48.551082Z digest=sha256:e428cc1a29edbd4fe317dc086e20a270fde75e74b3942e1195dbdd34ab61ea1f

Observation 7c6d34f8-a27e-4154-84bf-906997e123da · inbound

Teaching Prompt-Based Programming with LLMs: A 45-Minute Lesson with Guided Practice for End-User Programmers cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-06-30T03:34:13.375548Z

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.

source=pdf_text observed=2026-06-30T03:27:03.382639Z digest=sha256:9ad351d00f38e676c61ef71357934aaefcb60bb7fbaeabf2015457f7124da1ca

Observation ddbeb053-e00f-4cc3-8bff-49135d47a447 · inbound

When AI Is Wrong on Purpose: How Students Respond to Buggy GenAI Code cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-07-11T09:17:57.344644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:17:57.344644Z digest=sha256:e13f411b81621913f334a2825e28e5eae72552e6aed7685f450ffccbe5ae3151

Observation d8ce8963-8996-4c8f-92f3-dbeb5bb9ccfa · inbound

Say What? Examining Text and Voice Input Modalities for Prompt-Based Programming in Computing Education cites this paper.

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

Resolution
verified exact
local_arxiv, observed 2026-07-08T19:55:33.869162Z

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.

source=pdf_text observed=2026-07-08T19:51:07.398650Z digest=sha256:077bec67ae8fd1c88473ca7ba1ba3f7c0fa4f985e1ce7eb9d632de57afecfcc3