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Paper Citation Record · LEDGER

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

As of 18 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.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:06:41.671721Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

  • verified exact0
  • verified fuzzy38
  • unresolved8
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

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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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0e803ff3-56e4-4318-a453-1809c8e959a2 · outbound

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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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unresolved
no resolver link, observed 2026-08-10T14:06:41.554299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fd0154fb-7460-4921-bf55-14f710c78d13 · outbound

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7425d78a-a90d-493f-86fd-fb20cdb6606d · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:42.080460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8f09cfe1-2baa-464b-ad6f-ffa48a3a6904 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:42.070628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.563579Z digest=sha256:fc56ddef7180540d8472ffca993f66490615d660663aba2546d3bb7315aa0158

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

Resolution
unresolved
no resolver link, observed 2026-08-10T14:06:41.566129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:06:41.566129Z digest=sha256:5a2ffcdce1b918e91fc1f08ebb592bef26cbd1a76f219a3cf8ae7913e6952a83

Observation b01f5bca-a967-4378-bfa6-b9abd84574bc · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-10T14:06:41.568962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2e643496-73e2-469d-b1a4-c96ee534a1af · outbound

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.571735Z digest=sha256:ef56dfc44898231d52ec27eb308202b540c7ff19ccc6eb072ddcade0583e200e

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

Resolution
unresolved
no resolver link, observed 2026-08-10T14:06:41.574297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 905d3592-d11f-4d7f-91b3-d2f12d03cc12 · outbound

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.579884Z digest=sha256:7f0765232bb624edac4b106e1b7a57b4eba517694aa8488e9afcfba3a2f663c4

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:42.012941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:42.003298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.994116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5e3cbe01-bc73-4945-86a3-10391d56b498 · outbound

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.950203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e1b04bc6-95c9-4433-a87c-21ac85dd740f · outbound

This paper cites When2com: Multi-agent perception via communication graph grouping,.

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

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.941274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.604330Z digest=sha256:2d234be8fa2bcd1bd48f49b24cd26d6c5cf4c7856e673c3820ae6eeb27384961

Observation 060de190-cd03-48ab-8600-6e4135ed72bd · outbound

This paper cites Where2comm: Communication-efficient collaborative perception via spatial confidence maps,.

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

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.932831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.606936Z digest=sha256:fb0ee36812a89258e9669cac1e85bad3d57e28cb8f872d8f88a6c0d99af4a84c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.923280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.609514Z digest=sha256:03c9c79561bb4e60e9e81bfd27d2b0b41e84a849b9b4bc339466f0eeb209b5ce

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.914700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.612236Z digest=sha256:51fd034176859426f3cfcc258e6e168e74f3d5d0f57a499a978075b60b5c58ff

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.906330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.615043Z digest=sha256:eb8cb64f331d116280d6ec8adc720bb68ee3391f57223b616fad035cd251a80e

Observation 251d6ab9-4190-48a8-9baa-011bfa881430 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.897634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.617747Z digest=sha256:7b38324e6e048e8cea9db6d82ba8d48d8078dbc3c678c47447b9ebd2f42a9d9f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.889487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.620823Z digest=sha256:e34865979f8363983cdf01b3ad6b24bd2275134642794e535d370131d811a469

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.881682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.623623Z digest=sha256:0dafc1fea40b3469c67c9d8cec5bebe05f240f31242e978d81cb12d0a21a3cf4

Observation 8d814673-72ab-47d3-bda1-1bc5562f10b8 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.872510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.626347Z digest=sha256:2a37081ec8cf82a336a336e345894aa3c4e415fd3e43a757d1dee14dcf248caf

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.862985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.629173Z digest=sha256:01a188157f06028119f8c46f2d6f061d083d6f916ec52ac5fc9556f99f8f9ae9

Observation f2ef733a-6b9a-4ee9-8ff5-872f70614435 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.853587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.632031Z digest=sha256:7d7580c6723e57913f5291c8563a05a1c9b4cf149edbfe600fd206011f64298e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.844274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.634862Z digest=sha256:3f5a37931273e84651ba7b03369acb9377a70b326d984d4ec4ad140a4c924155

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.834387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.637519Z digest=sha256:26c99514d442a983324508b2a4ff2698889f01582db2c8ee92ffefabc84b0442

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.824455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.640145Z digest=sha256:6fa770bede054029091a3c77093f0ca692c092296b8b8e8415763fb6f64518a5

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

Resolution
unresolved
no resolver link, observed 2026-08-10T14:06:41.643236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:06:41.643236Z digest=sha256:695c212fa04dd42453fbf4dd00a2602b72cf7b9af3a548fe98e13e13d078e317

Observation 34e04b78-f690-449f-b91f-8849f4e3ed04 · outbound

This paper cites V-learning–a simple, efficient, decentralized algorithm for multiagent rl,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.815053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.646566Z digest=sha256:b933b646470c1dd1cb598833330ab0f4c434c5a5919e34370b63a4128304ecf1

Observation d204b045-cbd4-4303-8f6c-6aa330384716 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.649343Z digest=sha256:f046ea1bfba5bde50584dcd65d42a6322acc97f10ef7831312d26d7a62113f87

Observation 16733ee6-e0ba-42bd-810d-47614b98cb73 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.795644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.652036Z digest=sha256:156293409930add2c1a5ec59a66d4695f20a76c0cd8dcede534a29622dee7e5f

Observation 341a1803-1c60-4141-b1bc-521bcbba30bd · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:06:41.785424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.654772Z digest=sha256:9676bffe8cfd53c75aee8a0ce324682cb4a42af1146f9906f998e03f895747a1

Observation 02c30f89-21a5-4c81-bcd2-dd112a0ae793 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.657441Z digest=sha256:91f03fe2892d2df3d494e310c8132a413b0b76a96ee52736a59f484a5996f42a

Observation 4a85a0fc-44bf-492f-a13e-5896d94f5c4f · outbound

This paper cites an unresolved cited work.

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

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:06:41.764222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.659960Z digest=sha256:7865d1ad0379b73714f1f444430a955dd86e66afd9f92943ec7cf07fa1dcd548

Observation f98438ea-7365-4903-ba07-1dd33446b055 · outbound

This paper cites Universal value func- tion approximators,.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.662928Z digest=sha256:bc6c8d5839e630d2ddd4de1768b6ff4aa92dc9026467c304b093fd2fd0f3fa56

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.666136Z digest=sha256:8bdbea8a21a5f3f40bb9d8c7bfb557dfea90d1e8172514423073cb0c0092a12d

Observation e0d678e4-b0c5-4597-a5e5-3bd2e3bf160a · outbound

This paper cites Continuous control with deep reinforcement learning,.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T14:06:41.668892Z digest=sha256:aaa09def4c2c2ed48033fc56c73d2db8d1ff616f0d59cd3fe2ec1a9c43f3f5e4

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

Resolution
unresolved
no resolver link, observed 2026-08-10T14:06:41.671721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:06:41.671721Z digest=sha256:5603f0b81e9bbaa9cfad165aa85486e1c9a55de38ae12cb1678cae294ec3a808

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

Resolution
unresolved
no resolver link, observed 2026-08-07T04:53:57.377120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:53:57.377120Z digest=sha256:c5166126e964f4dfc270d02fa02f3b0a670379e27171c7a1ca1da5281f01c929

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

Resolution
verified exact
arxiv_id, observed 2026-05-14T02:23:37.891272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-14T02:19:10.912487Z digest=sha256:901f8e493601f2a3cbe29b787ef58bfbca801cbb25d317bc114fbebc7a6598a2