Paper Citation Record · LEDGER

Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.15614.

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

pith.paper-citation-record.v1
2405.15614 v1

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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:46:26.636023Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:52:39.957839Z

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 8cb19f96-35bb-4823-bfea-0790371651a9 · inbound

Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points cites this paper.

Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study

Reference 155

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:52:39.960972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 933e58c7-bbd9-4447-ba0f-770fc55b501d · inbound

Evaluating LLM-Based Regression Test Generation cites this paper.

Evaluating LLM-Based Regression Test Generation Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T18:46:26.636023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b998abd-7367-4d69-a07a-79415f5c721c · inbound

Towards Effective Complementary Security Analysis using Large Language Models cites this paper.

Towards Effective Complementary Security Analysis using Large Language Models Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:41:46.609494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12ac03a4-cbf6-42b0-9f0e-1e6768c6a4a1 · inbound

Analyzing the Instability of Large Language Models in Automated Bug Injection and Correction cites this paper.

Analyzing the Instability of Large Language Models in Automated Bug Injection and Correction Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T23:41:28.794992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.