Paper Citation Record · LEDGER

A Survey of Multi-Agent Deep Reinforcement Learning with Communication

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2203.08975.

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

pith.paper-citation-record.v1
2203.08975 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:57:08.797964Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:48:50.031401Z

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 3460f3f8-c3ed-4451-a06e-7c12047ed3f2 · inbound

Asynchronous Cooperative Multi-Agent Reinforcement Learning with Limited Communication cites this paper.

Asynchronous Cooperative Multi-Agent Reinforcement Learning with Limited Communication A Survey of Multi-Agent Deep Reinforcement Learning with Communication

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:35:20.710212Z

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.

Observation 8d1c2dfa-24a9-42f0-957a-f58a5a2eb6d3 · inbound

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective cites this paper.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective A Survey of Multi-Agent Deep Reinforcement Learning with Communication

Reference 179

Resolution: unresolved; no resolver link, observed 2026-08-06T17:57:08.797964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Observation 8a5b9752-e166-4ee3-9e24-4ea633cc7071 · inbound

Plasticity-Enhanced Multi-Agent Mixture of Experts for Dynamic Objective Adaptation in UAVs-Assisted Emergency Communication Networks cites this paper.

Plasticity-Enhanced Multi-Agent Mixture of Experts for Dynamic Objective Adaptation in UAVs-Assisted Emergency Communication Networks A Survey of Multi-Agent Deep Reinforcement Learning with Communication

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:55:58.963006Z

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.

Observation 2906ed1e-d670-4291-b1bb-1545c5f3da00 · inbound

SwarmHarness: Skill-Based Task Routing via Decentralized Incentive-Aligned AI Agent Networks cites this paper.

SwarmHarness: Skill-Based Task Routing via Decentralized Incentive-Aligned AI Agent Networks A Survey of Multi-Agent Deep Reinforcement Learning with Communication

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:43:23.566186Z

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.

Observation 7d9e19c0-2333-487a-b306-59a3c422be99 · inbound

Cooperative Long Rope Skipping via Multi-Agent Reinforcement Learning cites this paper.

Cooperative Long Rope Skipping via Multi-Agent Reinforcement Learning A Survey of Multi-Agent Deep Reinforcement Learning with Communication

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T21:27:24.463466Z

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.

Observation 18a9f565-ce26-4ae0-bec5-688041647d4f · inbound

BARD-MARL: Byzantine-Agent Detection for Learned Communication in Multi-Agent Reinforcement Learning cites this paper.

BARD-MARL: Byzantine-Agent Detection for Learned Communication in Multi-Agent Reinforcement Learning A Survey of Multi-Agent Deep Reinforcement Learning with Communication

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:48:50.032662Z

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.