Pith. sign in

Paper Citation Record · LEDGER

Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence

As of 8 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2507.14658.

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

pith.paper-citation-record.v1
2507.14658 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:53:47.146359Z

measured 9 of 9 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

9 of 9 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 354fb64b-411c-4b8d-b913-112e7f23f60a · outbound

This paper cites an unresolved cited work.

Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence Unresolved cited work

Reference 1

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T15:53:47.546621Z

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=2026-08-06T15:53:46.627517Z digest=sha256:8561519c8fb10b4e96cf4c76f3e2bda1b873e561b5260ad06394650cf30f6fcc

Observation 4905b91f-28dd-4037-b269-c74c6a27b433 · outbound

This paper cites Learning Cyber Defence Tactics from Scratch with Multi-Agent Reinforcement Learning.

Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence Learning Cyber Defence Tactics from Scratch with Multi-Agent Reinforcement Learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:46.687032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:46.687032Z digest=sha256:b6ce39b459603be0b9530bdab422a282fa5892016d05e25c45432d417ebfde42

Observation 45a5a68a-c061-4d2d-a730-8493fb03eda8 · outbound

This paper cites Automated Cyber Defence: A Review.

Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence Automated Cyber Defence: A Review

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:46.730586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:46.730586Z digest=sha256:ff8dc34b07c6000f18488a89acec127cf863d3efd9ba976cb316652fdba98c46

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

This paper cites On Autonomous Agents in a Cyber Defence Environment.

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=sha256:51c6e9fdd606ca3bdc733453f4859536b58f69e6538fc94b97585f6973183dec

Observation 8760f5a9-5eb8-4ece-9680-2b51fb5bbb0f · outbound

This paper cites an unresolved cited work.

Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:53:48.089359Z

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=2026-08-06T15:53:46.872889Z digest=sha256:332f0d5b53c2c9f061db73b362f082755eddd3b3286471700d7baf65a4324841

Observation 1d82db1b-feb5-4c01-9666-6ed71a4d1477 · outbound

This paper cites an unresolved cited work.

Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:53:47.972311Z

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=2026-08-06T15:53:47.018676Z digest=sha256:37256c66da9a89766cb9331cecca664937dda7f83bd9105262c4959ef049c780

Observation e50df4d3-b0a0-437e-9f33-2543a92b9f83 · outbound

This paper cites an unresolved cited work.

Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:53:47.847337Z

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=2026-08-06T15:53:47.088783Z digest=sha256:6358f6a9160b3ac1e11a830a0e2edd4d826278b511b60b7c65cdcc7f41e76e33

Observation da5f9b64-f5c5-4699-abe8-0ca579cd6402 · outbound

This paper cites A Survey of Multi-Agent Deep Reinforcement Learning with Communication.

Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence A Survey of Multi-Agent Deep Reinforcement Learning with Communication

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T15:53:46.945532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:46.945532Z digest=sha256:0912000cde7f90668fd56c5b7cfe4dfd57ed2051f73653ebaeb59409a627ff7f

Observation 5bf4ec15-4250-469d-99af-cc92fc03148d · outbound

This paper cites IEEE Access 12 (2024), 120292–120305.

Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence IEEE Access 12 (2024), 120292–120305

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:53:47.702908Z

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=2026-08-06T15:53:47.146359Z digest=sha256:e323ec3065517c4deab424abd9e71ab7c7ca77996e3299cd6a7de97e6472c669

Pith citing papers

No inbound Pith citation observations are available.