Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:34:37.845973Z

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 2026-08-20T06:33:59.587034+00:00.

Observation 2250b03c-fb5b-478a-be37-b6d70ab37711 · inbound

ViUniT: Visual Unit Tests for More Robust Visual Programming cites this paper.

ViUniT: Visual Unit Tests for More Robust Visual Programming Using Large Language Models to Generate JUnit Tests: An Empirical Study

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T17:34:37.845973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 752496fb-f65e-4187-8901-4acf149922d3 · inbound

Doc2OracLL: Investigating the Impact of Documentation on LLM-based Test Oracle Generation cites this paper.

Doc2OracLL: Investigating the Impact of Documentation on LLM-based Test Oracle Generation Using Large Language Models to Generate JUnit Tests: An Empirical Study

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T17:10:28.096916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dbc879a-01eb-42e3-978f-67d8d82b9836 · inbound

Improving the Readability of Automatically Generated Tests using Large Language Models cites this paper.

Improving the Readability of Automatically Generated Tests using Large Language Models Using Large Language Models to Generate JUnit Tests: An Empirical Study

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.057748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c776560c-1c97-4188-9985-b69a879a133c · inbound

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model cites this paper.

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model Using Large Language Models to Generate JUnit Tests: An Empirical Study

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T22:07:48.904748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-20T06:33:59.587034+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.