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Paper Citation Record · LEDGER

On Autonomous Agents in a Cyber Defence Environment

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2309.07388.

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

pith.paper-citation-record.v1
2309.07388 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:22:01.692923Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 699f52e6-3ddd-4e12-9f2c-5abaa0444138 · 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 On Autonomous Agents in a Cyber Defence Environment

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:01.692923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:22:01.692923Z digest=sha256:34139e47a68de093729795a1c3163d0c9559c2389c43807951fe18b7b2574369

Observation e5405339-c12a-4500-9b59-a289016a1a63 · inbound

General Autonomous Cybersecurity Defense: Learning Robust Policies for Dynamic Topologies and Diverse Attackers cites this paper.

General Autonomous Cybersecurity Defense: Learning Robust Policies for Dynamic Topologies and Diverse Attackers On Autonomous Agents in a Cyber Defence Environment

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:09.643939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:05:09.643939Z digest=sha256:12af2a3ef9feb1b7258a8ac23d9c7d4902c23aa9c8d6820772efbd70883204ee

Observation b800cdf7-5c28-43e5-b3bc-2bd24527d3b4 · inbound

Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence cites this paper.

Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence On Autonomous Agents in a Cyber Defence Environment

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:46.792463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:46.792463Z digest=sha256:bc822ec2f73cbad988fda89595202bc48bedaf8ff5a4175f7bada2077c945e8b

Observation d4e2f42a-cbbf-4ef5-a294-dbad97247885 · inbound

Nash Q-Network for Multi-Agent Cybersecurity Simulation cites this paper.

Nash Q-Network for Multi-Agent Cybersecurity Simulation On Autonomous Agents in a Cyber Defence Environment

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T13:25:59.985731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:25:59.985731Z digest=sha256:3e0b59ab1371a550ce72f0a977ec0f707be9b556325e8faab412b15a860bab22

Observation 93d1211d-13b5-4f36-aae7-0dd476e6e44c · inbound

Strategic Cyber Defense via Reinforcement Learning-Guided Combinatorial Auctions cites this paper.

Strategic Cyber Defense via Reinforcement Learning-Guided Combinatorial Auctions On Autonomous Agents in a Cyber Defence Environment

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T17:22:05.254429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:22:05.254429Z digest=sha256:a177f45cecdcb7ddb412589f71664ac329d3311255e80e5e9f0c712cd6459164

Observation 2df08744-2c88-4266-b8e6-cde82a0c2d2d · inbound

Beyond Rewards in Reinforcement Learning for Cyber Defence cites this paper.

Beyond Rewards in Reinforcement Learning for Cyber Defence On Autonomous Agents in a Cyber Defence Environment

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T04:28:13.392859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:28:13.392859Z digest=sha256:e9c1cb78c0cf340d882450a0dc1ab375c030f9310933396c065e7e426ca435a9

Observation fb2be408-6947-4ea3-90d9-c324408ca129 · inbound

Building Better Environments for Autonomous Cyber Defence cites this paper.

Building Better Environments for Autonomous Cyber Defence On Autonomous Agents in a Cyber Defence Environment

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:11:03.817277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:46:41.137112Z digest=sha256:ead136f7e9bae6aa2942238adc7c86e20e731b0a781f0ae3e1ec2f6b19fad6c7

Observation 17404f9c-1c72-4e57-b182-4dd0f6b4336a · inbound

Context, Reasoning, and Hierarchy: A Cost-Performance Study of Compound LLM Agent Design in an Adversarial POMDP cites this paper.

Context, Reasoning, and Hierarchy: A Cost-Performance Study of Compound LLM Agent Design in an Adversarial POMDP On Autonomous Agents in a Cyber Defence Environment

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:08:53.938997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T19:04:19.519479Z digest=sha256:5185b99c996457505f8b6db9333d7e702eef41b78c58dd762edd2fc506dc828a

Observation a0a784ba-e92f-4fef-a206-d0cf476c2f55 · inbound

FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast cites this paper.

FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast On Autonomous Agents in a Cyber Defence Environment

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-20T18:48:53.272101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T18:47:34.221197Z digest=sha256:45c93158d7b241ec2db836d8148911e5fb9456d066336c4394fe8fe69ca57f1e

Observation 808cc04f-9a36-4965-a46f-ca87d27ba5cb · 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 On Autonomous Agents in a Cyber Defence Environment

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T01:39:52.768075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:39:52.768075Z digest=sha256:6a940a09f778df3f13b00c4c779722dd5cb17cb7532fd63c5ffae7f18423683a