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Paper Citation Record · LEDGER

XGV-BERT: Leveraging Contextualized Language Model and Graph Neural Network for Efficient Software Vulnerability Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.14677.

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

pith.paper-citation-record.v1
2309.14677 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:36:47.616477Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:36:50.944476Z

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 032591b8-daa1-4616-838a-fbf4dbdc6a03 · inbound

AI-Based Software Vulnerability Detection: A Systematic Literature Review cites this paper.

AI-Based Software Vulnerability Detection: A Systematic Literature Review XGV-BERT: Leveraging Contextualized Language Model and Graph Neural Network for Efficient Software Vulnerability Detection

Reference 108

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:36:50.949932Z

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.

source=pdf_text observed=2026-08-07T04:36:47.616477Z digest=sha256:a26a413259b3ff481efe34697e27aba769d325143262e51f21ceb37485dee606

Observation f84ed160-da98-44a3-a45e-ffd34583f64d · inbound

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

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques XGV-BERT: Leveraging Contextualized Language Model and Graph Neural Network for Efficient Software Vulnerability Detection

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T16:24:28.672841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:28.672841Z digest=sha256:8892794c791765667d4442dde1330565c8370658628e8e3f784e2a2b80bfa228