Paper Citation Record · LEDGER

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2506.11559.

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

pith.paper-citation-record.v1
2506.11559 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:08:37.184608Z

measured 30 of 30 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

verified exact1
verified fuzzy2
unresolved25
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3ac14559-52cf-49c7-a52b-6930a05ec813 · outbound

This paper cites Can LLMs Patch Security Issues?.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Can LLMs Patch Security Issues?

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:32.942092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a076579b-d0d4-4e2b-810a-262cf21b27dd · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:08:39.731714Z

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 1b929c95-c60a-4af9-8b85-990f7519e06a · outbound

This paper cites DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:33.416120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 891b903f-5aa2-4ec8-83ac-fd34ee4893d0 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:08:39.324184Z

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 93e91fa9-96b8-448d-807c-f9d2d00e0154 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:33.831804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e49b1be9-781c-41b7-8c80-32c35730694b · outbound

This paper cites Common Vulnerabilities and Exposures.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Common Vulnerabilities and Exposures

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:39.070375Z

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 d07e957e-c9d8-4330-884f-80ef341e1c68 · outbound

This paper cites In Proceedings of the IEEE/ACM 46th International Conference on Software Engineering (Lisbon, Portugal) (ICSE ’24).

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation In Proceedings of the IEEE/ACM 46th International Conference on Software Engineering (Lisbon, Portugal) (ICSE ’24)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:33.932758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e512400a-7434-4fa3-be46-06de9fb57406 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:34.269046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a572544b-0c38-4724-9e54-0f42f1954f57 · outbound

This paper cites Common Weaknesses Enumeration.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Common Weaknesses Enumeration

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:38.804076Z

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 92f361ed-865a-4c2c-ab36-ff23949022e7 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:34.510457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 265b5393-449b-4df5-bffe-680699a65768 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:34.394590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 102b01a8-7f77-4827-8a82-838573d96752 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:34.848036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ac4b15d-d65d-469f-93df-f94f58acb234 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:34.680610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22437978-0bd9-4abc-b873-2b46d2e52526 · outbound

This paper cites Large Language Models Understand and Can be Enhanced by Emotional Stimuli.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:35.146498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45a556e7-f0a5-466b-b3b8-85104558e69f · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:35.432344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92c23775-101c-4271-925e-ba7e1077c303 · outbound

This paper cites Hybrid Automated Program Repair by Combining Large Language Models and Program Analysis.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Hybrid Automated Program Repair by Combining Large Language Models and Program Analysis

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:35.256187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 849796bc-648c-405b-a906-23d8ad17567f · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:35.664256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16d71f9d-01e8-405d-a65c-361dce10fe4c · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:08:38.534271Z

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 7c9ecaca-76bb-43d6-8f75-343243413701 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:35.925340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df0d79e7-afa3-411e-af10-994d06baf486 · outbound

This paper cites Using Large Language Models to Generate JUnit Tests: An Empirical Study.

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.

Observation 01f43c59-c2da-4d6b-9dda-04efd20c74ff · outbound

This paper cites Unit Test Case Generation with Transformers and Focal Context.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unit Test Case Generation with Transformers and Focal Context

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:36.380094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7150099e-17c4-4764-9554-d5b7172f79e6 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 23

Resolution: malformed identifier; no resolver link, observed 2026-08-07T04:08:36.537389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 199c7f44-229e-4316-91a4-d94953a76c2a · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 24

Resolution: verified exact; doi, observed 2026-08-07T04:08:37.368910Z

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 e027aca2-5142-4d9d-b91e-7be4c27b92d5 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:36.787179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 674b46ad-5505-41cb-99ac-26b123294ce1 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:36.926418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1ca6da3-ce31-409f-b971-a1d70659a645 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 27

Resolution: malformed identifier; no resolver link, observed 2026-08-07T04:08:36.678520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b19ebfa-3ff9-41cb-a456-d2b13f403484 · outbound

This paper cites an unresolved cited work.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:37.184608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f294aee4-7e7b-49c7-a7e8-912685e4663e · outbound

This paper cites A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:37.043101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ea207bd-a243-4cf0-b9b2-f7f24d1c5fdb · outbound

This paper cites Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:36.068457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfadafc8-a6ff-4a96-94c5-3f90637e9020 · outbound

This paper cites Automated Unit Test Improvement using Large Language Models at Meta.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Automated Unit Test Improvement using Large Language Models at Meta

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:33.201581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.