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Paper Citation Record · LEDGER

Using Large Language Models to Generate JUnit Tests: An Empirical Study

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.00418.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2305.00418 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:27:01.796882Z

measured 1 of 1 external citation measurements

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:d7274ceb36cf2863bd067c79cd9bd228bcfa7160ed62f88c40e2a1b64c07c07b

Observation 5a0cdaca-95a1-40d5-8b7e-37c9bd532ce0 · inbound

Agentic Bug Reproduction for Effective Automated Program Repair at Google cites this paper.

Agentic Bug Reproduction for Effective Automated Program Repair at Google Using Large Language Models to Generate JUnit Tests: An Empirical Study

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-09T14:27:01.796882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:27:01.796882Z digest=sha256:8435decf9421112fc242bc3b34e9a2a5af2b2561723fce890fd372e20619190a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T16:13:03.957779Z digest=sha256:2148c9f7ddf2d6df4ac41ddc9cce604cd30e3c87aff13252ed20e3e4658de160

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.

source=pdf_text observed=2026-08-07T04:08:35.819174Z digest=sha256:038016740fa0132fae24f93b2f33c4be7a545a358a0c3a99ab86fe7da0e90a09