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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 2026-08-08T06:32:00.761636+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=sha256:10600e2b3813e25b01bdcf3ebf525e1f3436afa7880af8fec5043137c19bdcf3

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=sha256:3d1216066131cff93f8ec1dfdb2209c80bfc2f92cd22ba24702b8a465a456538

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=sha256:917bbec085cc1bcd3c6a334c7f945f3448f80bc4a6d67d2cc82ce1b894cc7df9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T15:23:47.507490Z digest=sha256:c274efa3f82cc146a264b10a32456223ea06e7ce08128795e5dd55f16bf387b3

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:bd60eb6ff258124f11b8d8dce706d7655fd2731b6c834ad4d70864d9c67435c6