Paper Citation Record · LEDGER

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training

As of 17 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2504.21278.

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

pith.paper-citation-record.v1
2504.21278 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:12:51.880929Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

35 of 35 outbound references displayed

verified exact1
verified fuzzy31
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e33c7551-3f21-4fb7-8cfc-443f0dca4b07 · outbound

This paper cites Deep reinforcement learning for truck-drone delivery problem.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Deep reinforcement learning for truck-drone delivery problem

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.482222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e5d008cf-a518-4a16-bd97-3270f7ea30db · outbound

This paper cites Garcia Cena, Pedro F.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Garcia Cena, Pedro F

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.452096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2cf699cf-fef1-46da-8fea-14eaed2b4377 · outbound

This paper cites Learning individually inferred communication for multi-agent cooperation.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Learning individually inferred communication for multi-agent cooperation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.405949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5552bf97-c1a9-4963-97b1-c3a4084d95e7 · outbound

This paper cites Learning to schedule communication in multi-agent reinforcement learning.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Learning to schedule communication in multi-agent reinforcement learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.344657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2ba028d1-c0a5-43c3-b437-7372c2f7cc3f · outbound

This paper cites Multi-agent game abstraction via graph attention neural network.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Multi-agent game abstraction via graph attention neural network

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.328791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b56eb814-22b9-4dca-aaf3-870552b58c4c · outbound

This paper cites Na 2q: Neural attention additive model for inter- pretable multi-agent q-learning.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Na 2q: Neural attention additive model for inter- pretable multi-agent q-learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.313098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec6e255a-74e5-48b9-9ce2-f8ba41ddc7a9 · outbound

This paper cites Multi-agent actor- critic for mixed cooperative-competitive environments.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Multi-agent actor- critic for mixed cooperative-competitive environments

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.298248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 005b219c-7063-463e-b02a-b85c86d3975d · outbound

This paper cites Enhancing multi-agent system testing with diversity- guided exploration and adaptive critical state exploitation.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Enhancing multi-agent system testing with diversity- guided exploration and adaptive critical state exploitation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.267999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4942756b-9ca6-474c-bc34-2943352129a3 · outbound

This paper cites PMAC: personalized multi-agent communication.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training PMAC: personalized multi-agent communication

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.235873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a334abc6-7e2b-43ea-b069-1bb9add60ee9 · outbound

This paper cites Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:12:51.963652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1f452496-337f-40cf-b3d7-02efe84c7867 · outbound

This paper cites Improving coordination in small-scale multi- agent deep reinforcement learning through memory-driven communication.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Improving coordination in small-scale multi- agent deep reinforcement learning through memory-driven communication

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.218917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8daa78b0-66ed-4733-b324-5408fb8e3f6e · outbound

This paper cites Deep rein- forcement learning framework for autonomous driving.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Deep rein- forcement learning framework for autonomous driving

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.202821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 36764fc8-9578-47fe-8206-b7455816ad08 · outbound

This paper cites The StarCraft Multi-Agent Challenge.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training The StarCraft Multi-Agent Challenge

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T05:12:51.821131Z

Source-reported events for the cited work

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Observation 6891858d-120c-4f15-94d2-a9ed49246942 · outbound

This paper cites Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T05:12:51.826106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbe73143-08e0-4403-b0fb-a8ed76c9d158 · outbound

This paper cites Learning when to communicate at scale in multiagent cooperative and competitive tasks.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Learning when to communicate at scale in multiagent cooperative and competitive tasks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.172597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1e24e0fa-af1b-4a83-a35b-0b49d0d61fa6 · outbound

This paper cites QTRAN: learning to factorize with transformation for cooperative multi-agent reinforcement learning.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training QTRAN: learning to factorize with transformation for cooperative multi-agent reinforcement learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.155791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 277093d1-f272-46e5-8387-b4a8c9bccedf · outbound

This paper cites Learning multiagent commu- nication with backpropagation.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Learning multiagent commu- nication with backpropagation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.138395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1cc91248-d573-40db-9c4c-653d5f64520b · outbound

This paper cites Learning multiagent communica- tion with backpropagation.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Learning multiagent communica- tion with backpropagation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.122478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ffa3f94a-c5a0-48eb-9086-3734bc3c8ee3 · outbound

This paper cites Certifiably robust policy learning against adversarial multi-agent communication.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Certifiably robust policy learning against adversarial multi-agent communication

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.104584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3b5d09f8-e6b1-4114-935d-ee04d0004f8d · outbound

This paper cites T2MAC: targeted and trusted multi-agent communication through selective engagement and evidence-driven inte- gration.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training T2MAC: targeted and trusted multi-agent communication through selective engagement and evidence-driven inte- gration

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.084543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2c4da6db-1526-481d-aa1f-3aaa15dae3b5 · outbound

This paper cites Leibo, Karl Tuyls, and Thore Graepel.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Leibo, Karl Tuyls, and Thore Graepel

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.066828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8650c5f3-fd8a-47a6-afec-2c8aa72cee30 · outbound

This paper cites Mis- spoke or mis-lead: Achieving robustness in multi-agent communicative reinforcement learning.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Mis- spoke or mis-lead: Achieving robustness in multi-agent communicative reinforcement learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.031654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c9a5a08-dd20-4dd5-b1d4-2979bd10496f · outbound

This paper cites Efficient communication in multi-agent reinforcement learning via variance based control.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Efficient communication in multi-agent reinforcement learning via variance based control

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.013405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 134107a3-59d8-49cd-be49-3104556cbeff · outbound

This paper cites A survey of multi-agent deep reinforcement learning with communication.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training A survey of multi-agent deep reinforcement learning with communication

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:51.996849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cc2d32a6-a8ff-4e0e-b6d7-42fb8dba2e4e · outbound

This paper cites Deep Recurrent Q-Learning for Partially Observable MDPs.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Deep Recurrent Q-Learning for Partially Observable MDPs

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-16T05:12:51.755957Z

Source-reported events for the cited work

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Observation e7fe64a8-dc80-4504-b86d-3b26bc3f826c · outbound

This paper cites Tarmac: Targeted multi-agent communication.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Tarmac: Targeted multi-agent communication

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.435649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8624fcf8-a701-430b-9541-de03b349aa18 · outbound

This paper cites Rethinking individual global max in cooperative multi- agent reinforcement learning.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Rethinking individual global max in cooperative multi- agent reinforcement learning

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.376527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2e8888d-504f-45e5-86ba-788b28bac10c · outbound

This paper cites Learning structured communication for multi-agent reinforcement learning.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Learning structured communication for multi-agent reinforcement learning

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.187363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 05d26447-c88d-4fb4-818c-e3308118a2c9 · outbound

This paper cites Grey-box adver- sarial attack on communication in multi-agent reinforce- ment learning.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Grey-box adver- sarial attack on communication in multi-agent reinforce- ment learning

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.283360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 378fb29a-d2b8-4a2f-8b83-1457d8daa731 · outbound

This paper cites Tarmac: Targeted multi-agent communication.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Tarmac: Targeted multi-agent communication

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.420671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 880ca738-fbdb-47c5-8778-07be63e55981 · outbound

This paper cites A multi-agent reinforcement learning approach to robot soccer.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training A multi-agent reinforcement learning approach to robot soccer

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.391012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6b49d56f-4565-42c4-82e8-6a31b8b469e3 · outbound

This paper cites QPLEX: duplex dueling multi-agent q-learning.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training QPLEX: duplex dueling multi-agent q-learning

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.049647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4b267c31-ae1f-441f-82a4-b6181adb1b12 · outbound

This paper cites Graph convolutional reinforcement learn- ing.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Graph convolutional reinforcement learn- ing

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.360840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e8d5d808-97ae-47f9-8472-5cada209f213 · outbound

This paper cites Robustness of decentralized decision-making architectures in command and control systems.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Robustness of decentralized decision-making architectures in command and control systems

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.467459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4028df36-24ea-4ba6-bed4-1285a0b3d37c · outbound

This paper cites Learning agent commu- nication under limited bandwidth by message pruning.

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training Learning agent commu- nication under limited bandwidth by message pruning

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:12:52.251304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.