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Paper Citation Record · LEDGER

DefectHunter: A Novel LLM-Driven Boosted-Conformer-based Code Vulnerability Detection Mechanism

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2309.15324.

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

pith.paper-citation-record.v1
2309.15324 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:58:14.133083Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:19:49.733678Z

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 48973c45-57f9-4cc6-9507-66126f8ec066 · inbound

LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights cites this paper.

LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights DefectHunter: A Novel LLM-Driven Boosted-Conformer-based Code Vulnerability Detection Mechanism

Reference 114

Resolution
unresolved
no resolver link, observed 2026-08-08T13:58:14.133083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:58:14.133083Z digest=sha256:bf9d22aa24e6067c4689c358e185dc709a850bb224780fe40e0bacea6486a49d

Observation 0b664282-009c-43a0-bef4-8b4eb11826de · inbound

Generative AI for Internet of Things Security: Challenges and Opportunities cites this paper.

Generative AI for Internet of Things Security: Challenges and Opportunities DefectHunter: A Novel LLM-Driven Boosted-Conformer-based Code Vulnerability Detection Mechanism

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T23:23:49.783732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:23:49.783732Z digest=sha256:5563c26e16083134def72321ff34213ce07a2d2fc26ba40dac3eec41b8a8c89f

Observation a588f094-d923-4a05-9bc7-dbf556212a78 · inbound

Eradicating the Unseen: Detecting, Exploiting, and Remediating a Path Traversal Vulnerability across GitHub cites this paper.

Eradicating the Unseen: Detecting, Exploiting, and Remediating a Path Traversal Vulnerability across GitHub DefectHunter: A Novel LLM-Driven Boosted-Conformer-based Code Vulnerability Detection Mechanism

Reference 121

Resolution
unresolved
no resolver link, observed 2026-08-07T14:01:09.146446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:09.146446Z digest=sha256:1902ccba0dc09800777296bc64cfdf8576e66705f2a9b0d881ac704d4f562077

Observation 9c93f533-5f41-4224-a730-ff8b2fc89781 · inbound

VulRTex: A Reasoning-Guided Approach to Identify Vulnerabilities from Rich-Text Issue Report cites this paper.

VulRTex: A Reasoning-Guided Approach to Identify Vulnerabilities from Rich-Text Issue Report DefectHunter: A Novel LLM-Driven Boosted-Conformer-based Code Vulnerability Detection Mechanism

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-05T10:40:24.789686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:40:24.789686Z digest=sha256:691c285724ec3ba6e723cd80759acc8b0c4c257aad81b74413c5395b5bdd8f84

Observation 55fc46ae-3f69-422d-9f3f-7c1c8c09cd7e · inbound

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap cites this paper.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap DefectHunter: A Novel LLM-Driven Boosted-Conformer-based Code Vulnerability Detection Mechanism

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-22T11:41:30.200506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T11:38:16.149523Z digest=sha256:88b9e74a055c2abf40b044a22a9b99c9ab728aadc170beebf70cfcc2cfcb1227

Observation b313bb6f-1ead-44e3-a548-d744b9d8df04 · inbound

JupOtter: Cell-Level Bug Detection in Jupyter Notebooks cites this paper.

JupOtter: Cell-Level Bug Detection in Jupyter Notebooks DefectHunter: A Novel LLM-Driven Boosted-Conformer-based Code Vulnerability Detection Mechanism

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:19:49.735133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T07:01:37.301468Z digest=sha256:4a80c4351c7cf73d49eedf36343c1a06c85ca177507574044d7fa2d69cd0105a