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Paper Citation Record · LEDGER

Large Language Models are Autonomous Cyber Defenders

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.04843.

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

pith.paper-citation-record.v1
2505.04843 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:39:14.124658Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T18:48:53.285485Z

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 9a9e0919-53a7-47d5-97d5-c42e87632208 · inbound

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense cites this paper.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Large Language Models are Autonomous Cyber Defenders

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T16:39:14.124658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:39:14.124658Z digest=sha256:7aa5c31704b8ef0925b436cd616fa41089986495bcee21ad347936254368fddd

Observation a93d0c64-9485-4f0a-b38c-3e263970684c · inbound

Online Incident Response Planning under Model Misspecification through Bayesian Learning and Belief Quantization cites this paper.

Online Incident Response Planning under Model Misspecification through Bayesian Learning and Belief Quantization Large Language Models are Autonomous Cyber Defenders

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T18:48:16.392506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:48:16.392506Z digest=sha256:2426f23d50cc8161b306c137055e5569e081e646f607f8d5a4d1265d859240f4

Observation 9256e6bf-a7a4-4e94-b45b-1b410a77e987 · inbound

FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast cites this paper.

FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast Large Language Models are Autonomous Cyber Defenders

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-20T18:48:53.286921Z

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=2026-05-20T18:47:34.221197Z digest=sha256:12397c5243f4e313ae06ff53bed77970db95471045b31bd702c24c9645b80ce8