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Paper Citation Record · LEDGER

Guidelines for Applying RL and MARL in Cybersecurity Applications

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.04262.

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

pith.paper-citation-record.v1
2503.04262 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:15:10.016619Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:51:44.377890Z

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 4e85cdea-4499-4c2c-9106-42eea1647fe5 · inbound

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

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity Guidelines for Applying RL and MARL in Cybersecurity Applications

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-03T03:15:10.016619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:15:10.016619Z digest=sha256:b340f1a1e4ab8e2ecd240207a8d2be66c2ad0bd5a58f753ab495991360804206

Observation 60a68d11-6e81-4e86-a45d-369d045288dd · inbound

Self-Adaptive Multi-Agent LLM-Based Security Pattern Selection for IoT Systems cites this paper.

Self-Adaptive Multi-Agent LLM-Based Security Pattern Selection for IoT Systems Guidelines for Applying RL and MARL in Cybersecurity Applications

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:51:44.383566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-09T19:04:48.453055Z digest=sha256:594a5f1d8b92a67da68736ddbe3bbda6e2749e5e3409fd03390447226195c510