Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T21:22:01.453508Z
Paper Citation Record · LEDGER
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts
As of 23 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2509.08090.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
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
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
55 of 55 outbound references displayed
- verified exact1
- verified fuzzy35
- unresolved19
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 18c24cd1-5d63-4426-945e-f97621dd387c · outbound
This paper cites Artificial intelligence vs. software engineers: An empirical study on performance and efficiency using chatgpt,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Artificial intelligence vs. software engineers: An empirical study on performance and efficiency using chatgpt,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.448734Z
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 309915c7-24ea-4de4-84cd-291838790b62 · outbound
This paper cites Towards human-bot collaborative software architecting with chatgpt,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Towards human-bot collaborative software architecting with chatgpt,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.414160Z
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 94a0ea33-02f7-49a3-89ac-e7ac95cae0cf · outbound
This paper cites You augment me: Exploring chatgpt-based data augmentation for semantic code search,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts You augment me: Exploring chatgpt-based data augmentation for semantic code search,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.385128Z
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 b8fb5a20-7a5e-4db9-93f8-1bcb3e1e20cc · outbound
This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:22:01.205063Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94f138f5-9bf4-4992-91aa-194367f7de02 · outbound
This paper cites The potential use of chatgpt for debugging and bug fixing,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts The potential use of chatgpt for debugging and bug fixing,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.338726Z
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 a04ed76a-4fc6-4b17-a7d2-942056afa49c · outbound
This paper cites Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:22:01.215461Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48311cca-127e-483e-8985-196e22ae52a6 · outbound
This paper cites Investigating code generation performance of chat-gpt with crowd- sourcing social data,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Investigating code generation performance of chat-gpt with crowd- sourcing social data,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.318374Z
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 79a1ec87-3ffd-4e58-b75a-bf7c2cca10dd · outbound
This paper cites From Copilot to Pilot: Towards AI Supported Software Development.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts From Copilot to Pilot: Towards AI Supported Software Development
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:22:01.226421Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d451a47f-7984-44f8-9417-c3d84a768435 · outbound
This paper cites Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:22:01.231113Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89208fd7-70d5-4b3f-979b-7ae23122bb79 · outbound
This paper cites an unresolved cited work.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:22:02.303304Z
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 c67f59d9-0a16-48b9-819f-897a3336bbb9 · outbound
This paper cites Automatic Code Summarization via ChatGPT: How Far Are We?.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Automatic Code Summarization via ChatGPT: How Far Are We?
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:22:01.242288Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2617b2dd-146f-4892-a438-5c245ec7ddb9 · outbound
This paper cites an unresolved cited work.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:22:02.287431Z
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 909bbab7-5dcb-434a-b975-c7b066fa256b · outbound
This paper cites An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:22:01.251999Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 918240a7-88fb-4ae6-bbee-015ed9a5b9a5 · outbound
This paper cites How to refactor this code? an exploratory study on developer-chatgpt refactoring conversations,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts How to refactor this code? an exploratory study on developer-chatgpt refactoring conversations,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.272005Z
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 e8dade09-f1d2-4ae2-916b-069e52824173 · outbound
This paper cites Fowler, K.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Fowler, K
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.255104Z
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 00d05444-d3e1-49b4-a2da-a60d9bfd306c · outbound
This paper cites A survey of software refactoring,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts A survey of software refactoring,
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:22:01.265933Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31b87e38-2c1d-4aa7-b515-5942a2cf2a51 · outbound
This paper cites Next-generation refactoring: Combining llm insights and ide capabilities for extract method,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Next-generation refactoring: Combining llm insights and ide capabilities for extract method,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.226832Z
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 176729ee-55ca-45e5-87e7-20816fababa1 · outbound
This paper cites Exploring the potential of general purpose llms in automated software refactoring: an empirical study,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Exploring the potential of general purpose llms in automated software refactoring: an empirical study,
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:22:01.278834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29cac898-9c5d-41b4-9ed9-fb75d9725a33 · outbound
This paper cites an unresolved cited work.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:22:02.200364Z
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 2cd4f234-d54d-47dc-bdf9-1d5672d93722 · outbound
This paper cites Devgpt: Studying developer-chatgpt conversations,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Devgpt: Studying developer-chatgpt conversations,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.185133Z
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 26352c7a-f3de-4f58-8a11-dcf577f742a6 · outbound
This paper cites Gathering refactoring data: a comparison of four methods,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Gathering refactoring data: a comparison of four methods,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.169506Z
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 2db6bc77-b9ce-4ddf-b601-67fd2b6fe103 · outbound
This paper cites Can refactoring be self-affirmed? an exploratory study on how developers document their refactoring activities in commit messages,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Can refactoring be self-affirmed? an exploratory study on how developers document their refactoring activities in commit messages,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.154911Z
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 a67f76f6-ba16-45bd-8d0c-f21324c8b91c · outbound
This paper cites A preliminary investigation of self- admitted refactorings in open source software (s),.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts A preliminary investigation of self- admitted refactorings in open source software (s),
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.139076Z
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 c99af2f5-9f43-4aa6-8261-e60c3e94ce3a · outbound
This paper cites On the relation of refactorings and software defect prediction,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts On the relation of refactorings and software defect prediction,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.123979Z
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 51f89004-4a9f-40a8-8e33-ca972e39687b · outbound
This paper cites Toward the automatic classification of self-affirmed refactoring,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Toward the automatic classification of self-affirmed refactoring,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.108422Z
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 faa4dd97-5de7-495a-adf4-bd83132bdf83 · outbound
This paper cites Refactoring practices in the context of modern code review: An industrial case study at xerox,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Refactoring practices in the context of modern code review: An industrial case study at xerox,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.091967Z
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 1c117ce7-6fef-4b10-b00e-e2a5348d93be · outbound
This paper cites Recommended steps for thematic synthesis in software engineering,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Recommended steps for thematic synthesis in software engineering,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.076206Z
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 63d3b9bd-34ca-4553-b9ab-2b1a6bda3964 · outbound
This paper cites Why we refactor? confessions of github contributors,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Why we refactor? confessions of github contributors,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.061344Z
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 d1a42190-9eaa-422f-9d08-d74e3a08bdf0 · outbound
This paper cites A Lot of Talk and a Badge: An Exploratory Analysis of Personal Achievements in GitHub.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts A Lot of Talk and a Badge: An Exploratory Analysis of Personal Achievements in GitHub
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T21:22:01.591838Z
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 46633bdd-fcd9-457a-ad21-d56cc1b47e1d · outbound
This paper cites Deterministic automatic refactoring at scale,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Deterministic automatic refactoring at scale,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.046617Z
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 a50a0e70-8ab2-469b-a6ef-a999c11b54f3 · outbound
This paper cites Chatgpt prompt patterns for improving code quality, refactoring, requirements elicitation, and software design,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Chatgpt prompt patterns for improving code quality, refactoring, requirements elicitation, and software design,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.030953Z
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 d721ff34-afa9-4613-b559-cc92c8a9936e · outbound
This paper cites Refactoring Programs Using Large Language Models with Few-Shot Examples.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Refactoring Programs Using Large Language Models with Few-Shot Examples
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:22:01.341036Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e66c3eb-2271-4644-ae61-f159e1ef1cb3 · outbound
This paper cites Exploring chatgpt’s code refactoring capabilities: An empirical study,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Exploring chatgpt’s code refactoring capabilities: An empirical study,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:02.013628Z
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 75959491-e301-40ff-98a2-eb0aa9aa7569 · outbound
This paper cites Automated Unit Test Refactoring.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Automated Unit Test Refactoring
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:22:01.350380Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62e252d5-d326-4846-ac94-21eb0a8e44aa · outbound
This paper cites Iterative refactoring of real-world open- source programs with large language models,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Iterative refactoring of real-world open- source programs with large language models,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:01.993294Z
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 0dde041f-cf54-4916-98d7-d99922413458 · outbound
This paper cites ismell: Assembling llms with expert toolsets for code smell detection and refactoring,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts ismell: Assembling llms with expert toolsets for code smell detection and refactoring,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:01.977213Z
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 bbaa2da7-e112-488d-8c14-5f8450b8f75b · outbound
This paper cites Improved program repair methods using refactoring with gpt models,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Improved program repair methods using refactoring with gpt models,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:01.962327Z
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 7a76301e-5969-420c-ac28-7d50e05ef692 · outbound
This paper cites Refactorbench: Evaluating stateful reasoning in language agents through code,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Refactorbench: Evaluating stateful reasoning in language agents through code,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:01.947322Z
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 b8274521-de5b-4be5-9ecd-869c92727344 · outbound
This paper cites One-to-one or one-to-many? suggesting extract class refactoring opportunities with intra-class dependency hypergraph neural network,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts One-to-one or one-to-many? suggesting extract class refactoring opportunities with intra-class dependency hypergraph neural network,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:01.932221Z
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 7b7e1f58-e44c-4aed-aa60-4d8df3d71bc1 · outbound
This paper cites Three heads are better than one: Suggesting move method refactoring opportunities with inter-class code entity dependency en- hanced hybrid hypergraph neural network,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Three heads are better than one: Suggesting move method refactoring opportunities with inter-class code entity dependency en- hanced hybrid hypergraph neural network,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:01.915397Z
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 c403e13b-1f96-4573-bb8a-5bc10febd788 · outbound
This paper cites Move method refactoring recommendation based on deep learning and llm-generated information,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Move method refactoring recommendation based on deep learning and llm-generated information,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:01.899647Z
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 340686ff-c5c7-4f5f-96d8-8182f0a77139 · outbound
This paper cites Preference-guided refactored tuning for retrieval augmented code gen- eration,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Preference-guided refactored tuning for retrieval augmented code gen- eration,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:01.884367Z
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 80d59d83-ad9b-41a2-bddb-c35d2d11f786 · outbound
This paper cites Copilot-in-the-loop: Fixing code smells in copilot-generated python code using copilot,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Copilot-in-the-loop: Fixing code smells in copilot-generated python code using copilot,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:01.869017Z
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 b5809fad-d4d5-47df-84ad-0e5b79cff567 · outbound
This paper cites Refactoring to pythonic idioms: A hybrid knowledge-driven approach leveraging large language models,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Refactoring to pythonic idioms: A hybrid knowledge-driven approach leveraging large language models,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:01.852037Z
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 998c770b-cdc3-4d4e-a9f8-4638646a9ec1 · outbound
This paper cites an unresolved cited work.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:22:01.834485Z
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 1143d650-f00a-40ee-83a2-1753400e5415 · outbound
This paper cites Dominance statistics: Ordinal analyses to answer ordinal questions,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Dominance statistics: Ordinal analyses to answer ordinal questions,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:01.818658Z
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 a8e51188-4d3e-475f-9294-900872826b05 · outbound
This paper cites Appropriate statistics for ordinal level data,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Appropriate statistics for ordinal level data,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:01.802615Z
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 e61c210e-7de6-4f41-9a49-401de9d5aa44 · outbound
This paper cites an unresolved cited work.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:22:01.784087Z
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 10d1cbb2-479a-410f-a5fe-4aecf2b0d9fa · outbound
This paper cites an unresolved cited work.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:22:01.767495Z
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 15315c8f-c897-4071-9127-34106b78e07d · outbound
This paper cites Prompt programming for large language models: Beyond the few-shot paradigm,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Prompt programming for large language models: Beyond the few-shot paradigm,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:01.750483Z
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 14b4d768-baf3-48da-a0b7-29822d97820e · outbound
This paper cites an unresolved cited work.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:22:01.733997Z
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 632bd07a-82a7-4766-a5ae-c8aac85cedea · outbound
This paper cites How is chatgpt’s behavior changing over time?,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts How is chatgpt’s behavior changing over time?,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:01.718602Z
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 f58337a5-14be-4635-aa4e-f1abad9c481b · outbound
This paper cites Together We Go Further: LLMs and IDE Static Analysis for Extract Method Refactoring.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Together We Go Further: LLMs and IDE Static Analysis for Extract Method Refactoring
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:22:01.442712Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b1a0ee1-e608-4df6-b181-04937b8ae367 · outbound
This paper cites Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:22:01.447907Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 476f241b-a553-41c1-8f9a-60a0b2ea3949 · outbound
This paper cites How we refactor, and how we know it,.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts How we refactor, and how we know it,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:22:01.701739Z
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.
Pith citing papers
No inbound Pith citation observations are available.