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Paper Citation Record · LEDGER

Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.11276.

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

pith.paper-citation-record.v1
2409.11276 v1

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 2026-08-08T04:19:18.905966Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:25:48.792827Z

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 6e0e0515-af3c-495c-85ad-195ee3cbcdd4 · inbound

Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions cites this paper.

Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T19:44:20.970201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:44:20.970201Z digest=sha256:85a5a1fe512826983c20e39e12c37f1acfb64b353b9898db02681cba1d1d9644

Observation d014e29e-97c4-40e9-8602-2831b46dcb68 · inbound

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models cites this paper.

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T11:01:43.540114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:01:43.540114Z digest=sha256:482f780919fb63230d50ae80bb36cb4c7abeb7a062873a029ac3972ba43a1689

Observation 434aff53-000f-499f-b6cd-888c854357fd · inbound

Cybersecurity AI (CAI) Dataset cites this paper.

Cybersecurity AI (CAI) Dataset Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:13:26.800682Z

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=2026-06-29T12:07:49.656453Z digest=sha256:b6d7016d6ff3648843e571140d1bbd7d00f52d9f4295aecc7f94cd67a8932995

Observation 1ab2032c-4382-4afe-8b37-0323f562875a · inbound

Decomposing Memorization Reduction in Privacy-Preserving Fine-Tuning of SLMs for CSIRTs cites this paper.

Decomposing Memorization Reduction in Privacy-Preserving Fine-Tuning of SLMs for CSIRTs Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:25:48.795309Z

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=2026-06-30T01:23:52.085007Z digest=sha256:ce9eba79e478aa45ff92a13e6b673748b42d35c8f33dd8386887e2de0d1ed0db

Observation 82896714-cb11-4ceb-a33c-c28cbed4c91c · inbound

Tiny Enough to Break In: Agentic Remote Access Trojans Powered by Small Language Models cites this paper.

Tiny Enough to Break In: Agentic Remote Access Trojans Powered by Small Language Models Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T04:19:18.905966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:19:18.905966Z digest=sha256:8bfadd0a6d91a2b02c866ca9cca046f7ea572e4c4765dfcc95a71875adb9b7f9