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Paper Citation Record · LEDGER

Towards Explainable Vulnerability Detection with Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.09701.

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

pith.paper-citation-record.v1
2406.09701 v5

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:09:09.559810Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T06:16:28.064256Z

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 f05e214e-675e-409f-8150-cc64f37c5467 · inbound

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches cites this paper.

Today's Cat Is Tomorrow's Dog: Accounting for Time-Based Changes in the Labels of ML Vulnerability Detection Approaches Towards Explainable Vulnerability Detection with Large Language Models

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T01:09:13.037292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T01:09:09.559810Z digest=sha256:8a775ee57fcfe3bc9023f1f3650e6d46ddc87bceb8a356fea31c4a9da8c2ae8e

Observation a440cbc3-0c91-4842-b4b0-cbbfaf6a0ba1 · inbound

Large Language Models for Security Operations Centers: A Comprehensive Survey cites this paper.

Large Language Models for Security Operations Centers: A Comprehensive Survey Towards Explainable Vulnerability Detection with Large Language Models

Reference 272

Resolution
unresolved
no resolver link, observed 2026-08-04T17:32:21.606405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:32:21.606405Z digest=sha256:ae72334e32f386550e48e03e8916cfafafc9c0e7e6c0cc1e1121f4cc0c433654