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Paper Citation Record · LEDGER

Training Automated Defense Strategies Using Graph-based Cyber Attack Simulations

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.11084.

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

pith.paper-citation-record.v1
2304.11084 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:11:08.285612Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:11:11.469043Z

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 7e03e324-70e8-4b77-b832-d0f585236e68 · inbound

Training RL Agents for Multi-Objective Network Defense Tasks cites this paper.

Training RL Agents for Multi-Objective Network Defense Tasks Training Automated Defense Strategies Using Graph-based Cyber Attack Simulations

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:11:37.800628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:11:08.285612Z digest=sha256:1997298401e2c540c7edd23ac394d55514cb24f48bda3a8c4410b2a86f417a0a

Observation e3422afb-24ed-4040-b0a7-05e3a965f483 · inbound

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity cites this paper.

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity Training Automated Defense Strategies Using Graph-based Cyber Attack Simulations

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-03T03:15:10.056177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:15:10.056177Z digest=sha256:1d8470007156104565519e729112690243dae82555c7bb320dab7f5b1be98076