Pith. sign in

Paper Citation Record · LEDGER

Prompt-Enhanced Software Vulnerability Detection Using ChatGPT

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.12697.

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

pith.paper-citation-record.v1
2308.12697 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:32:23.531656Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T21:33:18.363822Z

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 dbccc7cd-7eaa-4246-822f-324cc0afcf17 · inbound

Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End" cites this paper.

Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End" Prompt-Enhanced Software Vulnerability Detection Using ChatGPT

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-08T17:26:43.577696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:26:43.577696Z digest=sha256:c30c3b74a02adb160087aa6c0ae96035d83877d379e2e22d0bdad2d843464793

Observation 97316ed8-bd05-4e57-9c9c-b2f7ded0d3f6 · inbound

A Contemporary Survey of Large Language Model Assisted Program Analysis cites this paper.

A Contemporary Survey of Large Language Model Assisted Program Analysis Prompt-Enhanced Software Vulnerability Detection Using ChatGPT

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-09T05:32:23.531656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:32:23.531656Z digest=sha256:e2f474a453daaff0b0d077d74483878515b46add2ebc8384433a83135506ef43

Observation 7353cf36-e5f6-4cfa-b05e-085098766ab0 · inbound

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Prompt-Enhanced Software Vulnerability Detection Using ChatGPT

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T16:24:29.438850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:29.438850Z digest=sha256:edfa5e6166b0c3d25f3668b69b18334fa5d05cf17096956edace6cd4d4d294bc

Observation 4e912a7f-574f-42c8-8d97-7efd2b8ef0c2 · inbound

Improving MPI Error Detection and Repair with Large Language Models and Bug References cites this paper.

Improving MPI Error Detection and Repair with Large Language Models and Bug References Prompt-Enhanced Software Vulnerability Detection Using ChatGPT

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:33:18.365042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T21:32:28.344156Z digest=sha256:d04d36ad5384d5701c874dc225d346b71717841971ff7898c648efa18afc98aa

Observation d8421f9b-7629-4edb-9887-6b7f15ff71c4 · inbound

Evaluating Large Language Models for Symbolic Security Protocol Analysis cites this paper.

Evaluating Large Language Models for Symbolic Security Protocol Analysis Prompt-Enhanced Software Vulnerability Detection Using ChatGPT

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-01T09:38:47.582514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:38:47.582514Z digest=sha256:a44e0f1620a11dbf439cf26e357c2bb13d24e16c84348bc4c3c3c10639bf09b8