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Paper Citation Record · LEDGER

On Autonomous Agents in a Cyber Defence Environment

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:57:22.217511Z

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 2e132313-3a13-4f00-8e49-ecfac322a7d9 · inbound

Explore Reinforced: Equilibrium Approximation with Reinforcement Learning cites this paper.

Explore Reinforced: Equilibrium Approximation with Reinforcement Learning On Autonomous Agents in a Cyber Defence Environment

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T23:59:48.907642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:59:48.907642Z digest=sha256:a2c50c2cbbdf44afe52f1b33940403e3d930d69aca576997fbbc8ba3a702f656

Observation 22bcc15b-06b4-4dac-950a-eae3370228b1 · inbound

Out-of-Distribution Detection for Neurosymbolic Autonomous Cyber Agents cites this paper.

Out-of-Distribution Detection for Neurosymbolic Autonomous Cyber Agents On Autonomous Agents in a Cyber Defence Environment

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T23:05:05.751055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:05:05.751055Z digest=sha256:d094cb2f39f41e045c921e982cdedd98d068a261f02f59d4defb0a787324f031

Observation 6aaa5775-ba7e-4c4b-ba0c-5ecb831b5ebf · inbound

An Empirical Game-Theoretic Analysis of Autonomous Cyber-Defence Agents cites this paper.

An Empirical Game-Theoretic Analysis of Autonomous Cyber-Defence Agents On Autonomous Agents in a Cyber Defence Environment

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T21:03:18.454600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:03:18.454600Z digest=sha256:d252701366ce40489b6b9b480cbc780caf1797b709510b3ac56ce27eb01e5e77

Observation cbfbe9e4-2a37-457c-8d3b-3ff8b0fcf1eb · inbound

Optimal Security Response to Network Intrusions in IT Systems cites this paper.

Optimal Security Response to Network Intrusions in IT Systems On Autonomous Agents in a Cyber Defence Environment

Reference 250

Resolution
unresolved
no resolver link, observed 2026-08-09T11:52:20.578011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:52:20.578011Z digest=sha256:63df98e334f060667b0c970bb0e46883bf14a17e9672d7520de41e8db2773b32

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:e772062e6056e02f72a9e757cb40773baaeb562e0bbaf661fc569f2879a663d7

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=sha256:02a9e294298985ac1dd794cda969900027caeb2f79a71da12fadaea8577547dd

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:c2abe113619f6e1484ceeaf3ecb223177bb687d0199e52de952b55c9905d4f10

Observation 058dea0c-a5d6-4f60-aca0-59ea90033c6a · inbound

PoolFlip: A Multi-Agent Reinforcement Learning Security Environment for Cyber Defense cites this paper.

PoolFlip: A Multi-Agent Reinforcement Learning Security Environment for Cyber Defense On Autonomous Agents in a Cyber Defence Environment

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T16:57:22.217511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:57:22.217511Z digest=sha256:51b9135244033335ef8e96f79582fe7d77faf2535c0cf25884085d1c2ad1e2e2

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=sha256:230cc3edd691aea66e485083186d3f9a51547af6ceff83e76ada3910bad37b12

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=sha256:5c06f50bc95abfe0d819e7b781ca50b08bebbf511dfce8dab1add081b899d309

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=sha256:28be8b202086bf0e9b7370756e51fe48a775515dc5ab2dbdebf6db1f26a091b8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T16:46:41.137112Z digest=sha256:12d2111a0093796b3386c221c48b5f12c20659dccbb36d5baefa4e4d9a4d775b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T19:04:19.519479Z digest=sha256:7078b3d6b2588925ebc33a0333b29b3f82292f68d6373feb75a2a6f4f3dddf40

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T18:47:34.221197Z digest=sha256:60ea95ddf8747cf39c4b4ca87b43f1684e045c57d0f080c895cab3972d5a419b

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=sha256:15aa757df4384de4242f4c35adade6721399cfa3db2885c9b293f1a8147e3f08