Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2304.10778.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:01:10.524442Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, 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
68
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation a3f13fc8-8b45-49ed-bace-4b3494f1e763 · inbound
Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation cites this paper.
Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T02:23:46.135108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 782a917c-c3f4-4d76-9ec9-3bc0aad8c8bc · inbound
Large Language Model-Based Agents for Software Engineering: A Survey cites this paper.
Large Language Model-Based Agents for Software Engineering: A Survey Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T12:35:48.586291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2370909f-31e6-49eb-bdfa-c3d92dcf1b73 · inbound
Eradicating the Unseen: Detecting, Exploiting, and Remediating a Path Traversal Vulnerability across GitHub cites this paper.
Eradicating the Unseen: Detecting, Exploiting, and Remediating a Path Traversal Vulnerability across GitHub Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 125
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:01:10.524442Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea630df8-ea98-478a-a14c-c569e096c2dd · inbound
Do Generative AI Tools Ensure Green Code? An Investigative Study cites this paper.
Do Generative AI Tools Ensure Green Code? An Investigative Study Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:04:38.131274Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9da3e49d-a12e-44d9-b41c-d7f49378169f · inbound
Quality Assessment of Python Tests Generated by Large Language Models cites this paper.
Quality Assessment of Python Tests Generated by Large Language Models Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:22:57.143131Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47f5486b-76b8-41db-82a6-80dd5d887dcf · inbound
Evaluating Efficiency and Novelty of LLM-Generated Code for Graph Analysis cites this paper.
Evaluating Efficiency and Novelty of LLM-Generated Code for Graph Analysis Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:09:34.032611Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0aed5b4b-8f70-4b6c-b77e-b74404cbfc73 · inbound
Is Quantization a Deal-breaker? Empirical Insights from Large Code Models cites this paper.
Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:56:21.332123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72ecfa1c-470b-4af0-b922-86c1d5712d6f · inbound
Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity cites this paper.
Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:09:55.151998Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91397d05-6cc8-4774-b395-391f63d70582 · inbound
Secure Code Generation at Scale with Reflexion cites this paper.
Secure Code Generation at Scale with Reflexion Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:50:48.870152Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d95378ad-5796-4592-8880-21dcebda23d0 · inbound
WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code cites this paper.
WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:41:21.046690Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c457c1b-075d-42b7-b2cf-100f5fae9515 · inbound
Developers' Experience with Generative AI -- First Insights from an Empirical Mixed-Methods Field Study cites this paper.
Developers' Experience with Generative AI -- First Insights from an Empirical Mixed-Methods Field Study Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T14:36:05.053801Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a65d466-b3a8-46ed-84be-a43604fa4358 · inbound
Beyond Verifiable Rewards: Rubric-Based GRM for Reinforced Fine-Tuning SWE Agents cites this paper.
Beyond Verifiable Rewards: Rubric-Based GRM for Reinforced Fine-Tuning SWE Agents Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T12:25:35.816573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation abf424bd-55fa-4884-b37c-d915692abc33 · inbound
How Do Developers Interact with AI? An Exploratory Study on Modeling Developer Programming Behavior cites this paper.
How Do Developers Interact with AI? An Exploratory Study on Modeling Developer Programming Behavior Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:13:03.187010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5d8d6985-83c1-4851-a97a-189ba6c69d82 · inbound
A Longitudinal Analysis of Good First Issue Practices and Newcomer Pull Requests in Popular OSS Projects cites this paper.
A Longitudinal Analysis of Good First Issue Practices and Newcomer Pull Requests in Popular OSS Projects Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:36:26.359139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 42380031-75ce-46a2-9cdd-a3dd7dc4a604 · inbound
Social Bias in LLM-Generated Code: Benchmark and Mitigation cites this paper.
Social Bias in LLM-Generated Code: Benchmark and Mitigation Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 166
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:36:08.664051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ead6af44-bc68-49ed-b57b-2252c5cad799 · inbound
Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code cites this paper.
Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 144
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:26:04.532845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a7e81a2c-790a-406d-b2cc-8247207dc878 · inbound
Context-Augmented Code Generation: How Product Context Improves AI Coding Agent Decision Compliance by 49% cites this paper.
Context-Augmented Code Generation: How Product Context Improves AI Coding Agent Decision Compliance by 49% Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:51:48.713785Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5b736f39-a10e-49b4-8e67-e53a712126ca · inbound
LLM Translation of Compiler Intermediate Representation cites this paper.
LLM Translation of Compiler Intermediate Representation Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:36:23.986923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7160c5ee-8e62-4740-b672-920004c215c2 · inbound
Revisiting DAgger in the Era of LLM-Agents cites this paper.
Revisiting DAgger in the Era of LLM-Agents Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:57:53.334730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 02c7bacd-5822-4fd3-90c3-0749139f913a · inbound
Assistance to Autonomy: A Systematic Literature Review of Agentic AI across the Software Development Life Cycle cites this paper.
Assistance to Autonomy: A Systematic Literature Review of Agentic AI across the Software Development Life Cycle Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:27:39.536761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e2bf9ea6-586b-497d-820a-3056a6e9cfc3 · inbound
The Impact of AI Coding Assistants on Software Engineering: A Longitudinal Study cites this paper.
The Impact of AI Coding Assistants on Software Engineering: A Longitudinal Study Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:10:19.405479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0d790177-c688-46f4-a823-bb8c71da0c47 · inbound
An Empirical Evaluation of LLM-Generated Code Security Across Prompting Methods cites this paper.
An Empirical Evaluation of LLM-Generated Code Security Across Prompting Methods Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 45
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T15:34:48.545994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b495116f-2720-4b29-96ff-d75ee996fcb3 · inbound
Enhancing Reliability in LLM-Based Secure Code Generation cites this paper.
Enhancing Reliability in LLM-Based Secure Code Generation Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T15:14:46.819405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0983d97b-a03b-4077-8ef8-139e3dbfb646 · inbound
From Prompting to Verification: How Experience Shapes Vibe Coding Practices cites this paper.
From Prompting to Verification: How Experience Shapes Vibe Coding Practices Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 79
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:14:40.443345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4f993f05-eb35-474b-bf78-30c27b9efe2d · inbound
Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability cites this paper.
Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-07-05T01:40:34.395921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ecdfa141-efee-49c2-badf-100bc1cf27ca · inbound
Vibe Coding Ate My Homework: An evaluation of AI approaches to greenfield software engineering and programming cites this paper.
Vibe Coding Ate My Homework: An evaluation of AI approaches to greenfield software engineering and programming Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T18:38:49.553754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 10083c92-43cd-4d7a-a759-65aaaf1704b3 · inbound
Vibe Coding Ate My Homework: An evaluation of AI approaches to greenfield software engineering and programming cites this paper.
Vibe Coding Ate My Homework: An evaluation of AI approaches to greenfield software engineering and programming Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:37:25.387141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e2387973-e3f3-4570-a290-88635a207d13 · inbound
Qiskit Code Migration with LLMs cites this paper.
Qiskit Code Migration with LLMs Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T16:29:35.520168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation fa765d41-fe23-4f25-96b0-f5887e7e8317 · inbound
Quantize with Confidence? An Empirical Study of Quantization for Code Generation cites this paper.
Quantize with Confidence? An Empirical Study of Quantization for Code Generation Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:32:48.904884Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76c3128b-b8f6-491f-9044-1975539ba6d2 · inbound
Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality cites this paper.
Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 105
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:01:33.546349Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37fff69e-d8b3-448c-b348-27515ea2e447 · inbound
Design Theater: Evaluating the Gap Between User-Facing Design Reasoning and Implementation in Generative UI Tools cites this paper.
Design Theater: Evaluating the Gap Between User-Facing Design Reasoning and Implementation in Generative UI Tools Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T04:11:14.979264Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6769482c-be19-4780-91d9-39d203be9dd1 · inbound
Design Theater: Evaluating the Gap Between User-Facing Design Reasoning and Implementation in Generative UI Tools cites this paper.
Design Theater: Evaluating the Gap Between User-Facing Design Reasoning and Implementation in Generative UI Tools Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T01:35:39.591608Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.