Paper Citation Record · LEDGER

SECURE: Benchmarking Large Language Models for Cybersecurity

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:01:31.353139Z

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 ee6a3004-db47-4cd7-990d-b3a1bbad276f · inbound

SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity cites this paper.

SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity SECURE: Benchmarking Large Language Models for Cybersecurity

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T23:13:15.155110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

Observation 3a87dbfc-f786-4f7c-a054-802783b232cb · inbound

MEQA: A Meta-Evaluation Framework for Question & Answer LLM Benchmarks cites this paper.

MEQA: A Meta-Evaluation Framework for Question & Answer LLM Benchmarks SECURE: Benchmarking Large Language Models for Cybersecurity

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T12:01:31.353139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 965efbc4-b0ad-41b4-91d8-326c9b59a672 · inbound

Exploring the Role of Large Language Models in Cybersecurity: A Systematic Survey cites this paper.

Exploring the Role of Large Language Models in Cybersecurity: A Systematic Survey SECURE: Benchmarking Large Language Models for Cybersecurity

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:23:50.828488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.