Paper Citation Record · LEDGER

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination

As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 2 inbound Pith citation observations for arXiv:2501.15695.

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

pith.paper-citation-record.v1
2501.15695 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

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measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:53:57.377120Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T02:23:37.887104Z

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation bbacc4c8-3289-4d92-8848-b65b7162f30a · outbound

This paper cites A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions

Reference 1

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This paper cites Survey of multi-agent systems for microgrid control,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Survey of multi-agent systems for microgrid control,

Reference 2

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Observation 803821ca-3b9f-403d-9153-e67e2c7c5d84 · outbound

This paper cites Survey of agent-based cloud computing applications,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Survey of agent-based cloud computing applications,

Reference 3

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Observation a8c22b42-1887-4d16-b39b-1c40fa42fa78 · outbound

This paper cites Consensus in multi-agent systems: a review,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Consensus in multi-agent systems: a review,

Reference 4

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This paper cites Multi-agent deep reinforcement learning: a survey,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Multi-agent deep reinforcement learning: a survey,

Reference 5

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This paper cites Multi-agent reinforcement learning as a rehearsal for decentralized planning,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Multi-agent reinforcement learning as a rehearsal for decentralized planning,

Reference 6

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This paper cites Cooperative multi-agent control using deep reinforcement learning,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Cooperative multi-agent control using deep reinforcement learning,

Reference 7

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Observation c76a81d2-f5d5-4615-97bd-63aa61e18779 · outbound

This paper cites Multi-agent actor-critic for mixed cooperative-competitive environ- ments,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Multi-agent actor-critic for mixed cooperative-competitive environ- ments,

Reference 8

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This paper cites Counterfactual multi-agent policy gradients,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Counterfactual multi-agent policy gradients,

Reference 9

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This paper cites Shapley q-value: A local reward approach to solve global reward games,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Shapley q-value: A local reward approach to solve global reward games,

Reference 10

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Observation aaaf07fe-95fa-4607-a36c-c9a4b7638c57 · outbound

This paper cites Monotonic value function factorisation for deep multi- agent reinforcement learning,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Monotonic value function factorisation for deep multi- agent reinforcement learning,

Reference 11

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This paper cites Roma: Multi-agent reinforcement learning with emergent roles,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Roma: Multi-agent reinforcement learning with emergent roles,

Reference 12

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Observation 8355cf6a-a2d4-4322-a4a3-014d3b1c6584 · outbound

This paper cites Gcs: Graph-based coordination strategy for multi-agent rein- forcement learning,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Gcs: Graph-based coordination strategy for multi-agent rein- forcement learning,

Reference 13

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Observation 73e3ec64-8d66-41d7-880d-cb043603948a · outbound

This paper cites Scalable multi-agent reinforcement learning through intelligent information aggregation,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Scalable multi-agent reinforcement learning through intelligent information aggregation,

Reference 14

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Observation 4fd4a60a-4132-46cc-89be-d0b4a17532c7 · outbound

This paper cites Multi-agent reinforcement learning: Independent vs. cooper- ative agents,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Multi-agent reinforcement learning: Independent vs. cooper- ative agents,

Reference 15

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Observation 6181af99-5c10-46ad-9bf8-000dd7647113 · outbound

This paper cites I2q: A fully decentralized q-learning algorithm,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination I2q: A fully decentralized q-learning algorithm,

Reference 16

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Observation 8c9e1918-6f48-429d-b061-2e7831644248 · outbound

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

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Learning when to communicate at scale in multiagent cooperative and competitive tasks,

Reference 17

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Observation f60ae8c9-6936-42b0-8f14-9fca3d5f7b6c · outbound

This paper cites Learning attentional communication for multi- agent cooperation,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Learning attentional communication for multi- agent cooperation,

Reference 18

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This paper cites Tarmac: Targeted multi-agent communication,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Tarmac: Targeted multi-agent communication,

Reference 19

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Observation ea1eaf52-c0d5-4945-b1ac-dddf931a9685 · outbound

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

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Efficient communication in multi- agent reinforcement learning via variance based control,

Reference 20

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Observation 74ac02fe-5b0c-42cd-a99d-e787d823b983 · outbound

This paper cites Who2com: Collaborative perception via learnable handshake commu- nication,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Who2com: Collaborative perception via learnable handshake commu- nication,

Reference 21

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Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination When2com: Multi-agent perception via communication graph grouping,

Reference 22

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Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Where2comm: Communication-efficient collaborative perception via spatial confidence maps,

Reference 23

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Observation cf6d7d9b-4a56-40e5-886a-6b4e24b36ea2 · outbound

This paper cites Multi-agent incentive communication via decentralized teammate mod- eling,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Multi-agent incentive communication via decentralized teammate mod- eling,

Reference 24

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Observation b9bc41f0-d915-419d-9e3a-adbb33b3df91 · outbound

This paper cites Learning efficient and robust multi-agent communication via graph information bottleneck,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Learning efficient and robust multi-agent communication via graph information bottleneck,

Reference 25

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Observation 5942b017-5c76-4288-837d-0925f69e0a60 · outbound

This paper cites Expressive multi-agent communication via identity-aware learning,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Expressive multi-agent communication via identity-aware learning,

Reference 26

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This paper cites Pmac: Personalized multi-agent communication,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Pmac: Personalized multi-agent communication,

Reference 27

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Observation 0439015a-c91d-45ae-b8ec-2e2c3084eebf · outbound

This paper cites Simultaneously learning and advising in multiagent reinforcement learning,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Simultaneously learning and advising in multiagent reinforcement learning,

Reference 28

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Observation d6b4c6c2-5a25-471f-b97c-d06dae065291 · outbound

This paper cites Cautiously-optimistic knowledge sharing for cooperative multi-agent reinforcement learning,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Cautiously-optimistic knowledge sharing for cooperative multi-agent reinforcement learning,

Reference 29

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This paper cites Learning individually inferred commu- nication for multi-agent cooperation,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Learning individually inferred commu- nication for multi-agent cooperation,

Reference 30

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Observation e91dbe19-8aac-45b5-a05d-8f8c59af1d8b · outbound

This paper cites Learning multi-agent communication with double attentional deep reinforcement learning,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Learning multi-agent communication with double attentional deep reinforcement learning,

Reference 31

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This paper cites Value-decomposition networks for cooperative multi-agent learning based on team reward,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Value-decomposition networks for cooperative multi-agent learning based on team reward,

Reference 32

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Observation 6391fc64-1c56-4d08-b203-d524dc001112 · outbound

This paper cites Deep coordination graphs,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Deep coordination graphs,

Reference 33

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Observation 5d9d2397-bcd6-4707-aa96-33f2dfca0024 · outbound

This paper cites Learning multi-agent coordination through connectivity-driven communication,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Learning multi-agent coordination through connectivity-driven communication,

Reference 34

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Observation 13094969-545f-44c7-bdb0-72173ca02b9e · outbound

This paper cites Settling decentralized multi-agent coordinated exploration by novelty sharing,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Settling decentralized multi-agent coordinated exploration by novelty sharing,

Reference 35

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Observation 0d1d8a59-87dd-4c75-a60b-bc9de4927cef · outbound

This paper cites Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 36

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Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination V-learning–a simple, efficient, decentralized algorithm for multiagent rl,

Reference 37

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This paper cites The complexity of markov equilibrium in stochastic games,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination The complexity of markov equilibrium in stochastic games,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:06:41.805299Z

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This paper cites Learn to follow: Decentralized lifelong multi-agent pathfinding via planning and learning,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Learn to follow: Decentralized lifelong multi-agent pathfinding via planning and learning,

Reference 39

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This paper cites Shared experience actor- critic for multi-agent reinforcement learning,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Shared experience actor- critic for multi-agent reinforcement learning,

Reference 40

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This paper cites Exploration-guided reward shaping for reinforcement learning under sparse rewards,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Exploration-guided reward shaping for reinforcement learning under sparse rewards,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:06:41.774560Z

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Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Unresolved cited work

Reference 42

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Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Universal value func- tion approximators,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:06:41.754109Z

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Observation 6d2f3130-d65e-437b-a222-0361b0f36fc4 · outbound

This paper cites Natural actor-critic,.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Natural actor-critic,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:06:41.743952Z

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Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Continuous control with deep reinforcement learning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:06:41.734106Z

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Observation 4458302a-e580-4a71-b452-62c72bf984bf · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination Adam: A Method for Stochastic Optimization

Reference 46

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Pith citing papers

Observation 14d0111c-ad84-4196-a7eb-aa75308b9a03 · inbound

Intelligent System of Emergent Knowledge: A Coordination Fabric for Billions of Minds cites this paper.

Intelligent System of Emergent Knowledge: A Coordination Fabric for Billions of Minds Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination

Reference 8

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Observation 926d0e52-fde8-4fc4-aa93-d177f1b02665 · inbound

When Does Hierarchy Help? Benchmarking Agent Coordination in Event-Driven Industrial Scheduling cites this paper.

When Does Hierarchy Help? Benchmarking Agent Coordination in Event-Driven Industrial Scheduling Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination

Reference 19

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