Pith. sign in

Paper Citation Record · LEDGER

SECURE: Benchmarking Large Language Models for Cybersecurity

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.20441.

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

pith.paper-citation-record.v1
2405.20441 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:26:43.357943Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:59:37.732073Z

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 b17857cf-0df3-40a4-951e-ab84af32ea53 · inbound

Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End" cites this paper.

Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End" SECURE: Benchmarking Large Language Models for Cybersecurity

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T17:26:43.357943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:26:43.357943Z digest=sha256:942992d8bb46a19d533b5a11ea445511ec0b914433e768c11e846dddb06ef893

Observation 2c6cb032-04a1-4e9f-a478-bd1ecb42fccd · inbound

Does Johnny Get the Message? Evaluating Cybersecurity Notifications for Everyday Users cites this paper.

Does Johnny Get the Message? Evaluating Cybersecurity Notifications for Everyday Users SECURE: Benchmarking Large Language Models for Cybersecurity

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T13:10:32.857758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:10:32.857758Z digest=sha256:2f2cef0961f67ab943f5561b9d13163ad07c9871132b694ee7e73ded61fd8de2

Observation 723b0d5f-50d3-4236-8aed-53ff31fd8678 · inbound

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation cites this paper.

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation SECURE: Benchmarking Large Language Models for Cybersecurity

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:42:04.704039Z

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=2026-05-19T04:37:33.942379Z digest=sha256:6fdbcf46288b3cc8c996ed06ce0839ea9114db25c4ceee4036d449171a984848

Observation 6df64912-2303-4bae-b768-7782eaf00055 · inbound

Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities cites this paper.

Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities SECURE: Benchmarking Large Language Models for Cybersecurity

Reference 178

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:06:42.887878Z

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=2026-05-18T18:04:09.528381Z digest=sha256:b5428f15a31f22a5da2ced1497212aad70a81e251869298fde54caf0dfda4617

Observation 1551fd22-1b81-4100-ab3e-280312857a07 · inbound

ARENA: An Architecture for Measuring the Transferability of Autonomous Cyber Defense cites this paper.

ARENA: An Architecture for Measuring the Transferability of Autonomous Cyber Defense SECURE: Benchmarking Large Language Models for Cybersecurity

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:59:37.733603Z

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=2026-06-26T14:00:04.412804Z digest=sha256:2497c67e8a82f933e2a778557193242961b4c943f4705cf8fac04bb0afecb59e