Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Using Large Language Models to Generate JUnit Tests: An Empirical Study
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.00418.
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 2026-08-07T04:08:35.819174Z
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
10
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 d26b47ec-9ecd-406b-92be-d1abb4e194fb · inbound
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Using Large Language Models to Generate JUnit Tests: An Empirical Study
Reference 206
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:34:42.651851Z
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 a4bf076b-6cd9-4eb1-867d-34a0595f1a01 · inbound
PatchTrack: A Comprehensive Analysis of ChatGPT's Influence on Pull Request Outcomes cites this paper.
PatchTrack: A Comprehensive Analysis of ChatGPT's Influence on Pull Request Outcomes Using Large Language Models to Generate JUnit Tests: An Empirical Study
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T16:14:58.862684Z
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 df0d79e7-afa3-411e-af10-994d06baf486 · inbound
Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation cites this paper.
Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Using Large Language Models to Generate JUnit Tests: An Empirical Study
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:08:35.819174Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.