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Paper Citation Record · LEDGER

CybORG: An Autonomous Cyber Operations Research Gym

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2002.10667.

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

pith.paper-citation-record.v1
2002.10667 v2

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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:10:43.802178Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T15:28:25.604452Z

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 6b3fb465-29d3-4841-98fd-a50cf7650883 · inbound

Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applications cites this paper.

Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applications CybORG: An Autonomous Cyber Operations Research Gym

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T14:10:43.802178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:10:43.802178Z digest=sha256:0e5676eb9d7d85541b25ec969a9bc297e9620cc85b0c4162a4d275e58dfe230f

Observation 155f4dc7-d75a-4fac-aba9-4cd2600e1f62 · inbound

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

Training RL Agents for Multi-Objective Network Defense Tasks CybORG: An Autonomous Cyber Operations Research Gym

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T13:11:04.521391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:11:04.521391Z digest=sha256:61a6c23e21768994932b3c22aec66f01d3f25b807d4cc19d3938742c948da2ec

Observation 73c2225f-8f80-40df-818d-fbc104f1e16e · inbound

Interpreting Agent Behaviors in Reinforcement-Learning-Based Cyber-Battle Simulation Platforms cites this paper.

Interpreting Agent Behaviors in Reinforcement-Learning-Based Cyber-Battle Simulation Platforms CybORG: An Autonomous Cyber Operations Research Gym

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:01.680710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:22:01.680710Z digest=sha256:5efe875143f67238cc27309516dd65a2e1fa6f3b74563aa2b865b9168f0d8839

Observation 95b2ac17-b625-4c8a-8e9c-29457963b36a · inbound

A Red Teaming Framework for Evaluating Robustness of AI-enabled Security Orchestration, Automation, and Response Systems cites this paper.

A Red Teaming Framework for Evaluating Robustness of AI-enabled Security Orchestration, Automation, and Response Systems CybORG: An Autonomous Cyber Operations Research Gym

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:28:25.606147Z

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=2026-05-20T15:23:47.507490Z digest=sha256:68bffd688a8cce8094d22c288a532c53d710f9e97701e8e88e6c897adab80085

Observation 0d71b292-118d-475d-8e7c-fc023c6edb0a · inbound

Distilling Knowledge from Large Language Models into Lightweight Reinforcement Learning Agents for Autonomous Cyber Operations cites this paper.

Distilling Knowledge from Large Language Models into Lightweight Reinforcement Learning Agents for Autonomous Cyber Operations CybORG: An Autonomous Cyber Operations Research Gym

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T01:39:52.344424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:39:52.344424Z digest=sha256:43523a6f2197049358466104e1627b39427bb0ff292f9617ffa77bf3e18c7a1c