Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.01269.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T05:32:23.511479Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
11
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 88edbe16-2436-4a83-8e2c-76de19ae7767 · inbound
Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points LLbezpeky: Leveraging Large Language Models for Vulnerability Detection
Reference 49
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.
Observation 0ab3ab3f-c434-4820-90c1-fe8240e8a36e · inbound
LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights LLbezpeky: Leveraging Large Language Models for Vulnerability Detection
Reference 86
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c57bc83-78d5-451d-826c-34d49749b39d · inbound
A Contemporary Survey of Large Language Model Assisted Program Analysis LLbezpeky: Leveraging Large Language Models for Vulnerability Detection
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 633504f4-21d3-40b5-a11b-6dd56bed4251 · inbound
Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap LLbezpeky: Leveraging Large Language Models for Vulnerability Detection
Reference 31
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.