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Paper Citation Record · LEDGER

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

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:58:53.146388Z

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 642a888e-5f15-410e-a5f9-822fb1088be7 · inbound

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions cites this paper.

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments

Reference 213

Resolution
unresolved
no resolver link, observed 2026-08-11T14:15:32.317520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:15:32.317520Z digest=sha256:eb3d0c7b60e5367a6ada24bd61c87d16b0256d70b7c5f220e6d002d93ce9de28

Observation c222b882-2ff3-46a8-b568-32b55eaa0103 · inbound

SAGA: A Security Architecture for Governing AI Agentic Systems cites this paper.

SAGA: A Security Architecture for Governing AI Agentic Systems Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T05:58:53.146388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:58:53.146388Z digest=sha256:bb1fd0a50b92c12acacb299c7560dfe4a39dfd9f591aed961dce21cdb3de8021

Observation 85a63ff2-0e16-4e71-9235-7ecc7bd0c6e9 · inbound

Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks cites this paper.

Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments

Reference 159

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:59.475945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:59.475945Z digest=sha256:27fba981e6684e2409e3e2c6a1c2790cbe9411d3edb57d1108d7f66175ba62f1

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=sha256:0dc7d36bbda6075ec3ccc21feefafe02498e3959d1d1c8d52dc225232d3b7d3b

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=sha256:6e54c1a7ed250e4c3af7e5359ceb8efd79eae3a631fa2ac6c52723979c3995f6

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T12:07:49.656453Z digest=sha256:87b846c8304d7992384de86907c7fc740471919c7080c9a76467e45d1bfd8c0e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-30T01:23:52.085007Z digest=sha256:381abc2a97a367eb73b0a7ceefc9c08e511d80f9998bec35dc8f7b6f5e9852b7

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:a3046c7e6eb469404cad571c96c010f230106317570270da0b71991d7144e091