Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.11702.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T18:01:38.953707Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T17:29:43.275683Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 907dcbe9-c1ca-4331-91f3-7daa10d08e64 · inbound
Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution cites this paper.
Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:01:38.953707Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd675457-e7a9-4cb9-8f82-ae0b7d4bc5d6 · inbound
The Impact of Generative AI on Code Expertise Models: An Exploratory Study cites this paper.
The Impact of Generative AI on Code Expertise Models: An Exploratory Study Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:29:44.639633Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28e4dfdf-2414-4b5d-b084-4fa64468dd09 · inbound
How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow cites this paper.
How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation
Reference 52
- Resolution
- malformed identifier
- local_arxiv, observed 2026-08-06T17:29:43.374189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.