Paper Citation Record · LEDGER

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2506.18537.

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

pith.paper-citation-record.v1
2506.18537 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:20:32.169248Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

52 of 52 outbound references displayed

verified exact2
verified fuzzy13
unresolved37
parse uncertain0
malformed identifier0
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External citation measurements

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Outbound references

Observation 5b9d98e1-2f13-4a8b-8fb4-7e2a6f47ae76 · outbound

This paper cites Foerster, G.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Foerster, G

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:28.311324Z

Source-reported events for the cited work

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Observation 670b9cf7-041f-435a-b87d-4fd94af0e41f · outbound

This paper cites an unresolved cited work.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:20:38.550524Z

Source-reported events for the cited work

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Observation 892c0908-7457-4ed2-b477-2495d8df3d51 · outbound

This paper cites an unresolved cited work.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:20:38.421622Z

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Observation 7086a3b2-c44a-4683-8ea7-b2911993b7b4 · outbound

This paper cites Rashid, M.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Rashid, M

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:38.230715Z

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Observation 7ca7ab7e-ec9f-4e6c-b95c-a76f32fe5141 · outbound

This paper cites an unresolved cited work.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 5

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Observation 51b1d0c6-6538-43a4-8d92-cdacd102bf9b · outbound

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Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 6

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Observation bcc92c2c-ac51-40c4-8e86-91aebc4546b2 · outbound

This paper cites Sunehag, G.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Sunehag, G

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:37.772354Z

Source-reported events for the cited work

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Observation f03313aa-1f87-42ec-b468-756ec9790148 · outbound

This paper cites Hernandez-Leal, B.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Hernandez-Leal, B

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:37.555190Z

Source-reported events for the cited work

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Observation 62c69c87-b74b-41cc-a208-ef9d7c55579c · outbound

This paper cites an unresolved cited work.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation 7702dffd-a447-4a1c-94a4-2ee8706b91c6 · outbound

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Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:20:37.354835Z

Source-reported events for the cited work

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Observation 4ddf7ce3-a302-4ad3-8304-5d4aeb044141 · outbound

This paper cites Egorov, A.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Egorov, A

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:37.196178Z

Source-reported events for the cited work

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Observation 78fe9301-a32b-410b-85db-9b54424ff29b · outbound

This paper cites Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:20:32.702325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ec09dc8c-c50d-436b-a0a7-b1398fb45a70 · outbound

This paper cites an unresolved cited work.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 13

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Observation f34b69ad-927f-4bdb-8911-999c70ec660c · outbound

This paper cites Zhang, G.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Zhang, G

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:36.767503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aa327fd1-8690-4a44-9268-1fe9e3f21bfb · outbound

This paper cites Mastering Atari with Discrete World Models.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Mastering Atari with Discrete World Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:29.283214Z

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Observation 8405a811-c03a-4b27-9035-0d95d19af726 · outbound

This paper cites Mastering Diverse Domains through World Models.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Mastering Diverse Domains through World Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:29.344519Z

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Observation 8102a6c5-1fb3-41d1-b4be-b2dcc2f3f801 · outbound

This paper cites Robine, M.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Robine, M

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:36.506890Z

Source-reported events for the cited work

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Observation 47055219-0b33-4145-acdf-f327c2c81e86 · outbound

This paper cites Vaswani, N.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Vaswani, N

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:36.285500Z

Source-reported events for the cited work

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Observation 753ab512-5a5a-4986-8682-de0db114877a · outbound

This paper cites an unresolved cited work.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:20:36.000493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 45d3a010-12e4-4047-8c27-7c6228b5ec26 · outbound

This paper cites A Survey of World Models for Autonomous Driving.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning A Survey of World Models for Autonomous Driving

Reference 20

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Observation 5d65e8b3-7495-439c-876c-ee9891189759 · outbound

This paper cites an unresolved cited work.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 21

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Observation 7f3c1df7-7ece-4c0e-8ff3-70f7d30b48ef · outbound

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Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 22

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Observation e0305426-09ee-41c8-ba35-497340364e5d · outbound

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Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 23

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Observation d56e01c4-570c-437f-a3be-409fa6f8e06f · outbound

This paper cites an unresolved cited work.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:20:35.065567Z

Source-reported events for the cited work

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Observation 63d6670e-ecd6-4555-97bf-536d9f267df8 · outbound

This paper cites an unresolved cited work.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 25

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Observation 69867348-7969-4bbc-95f1-24cb4116f468 · outbound

This paper cites an unresolved cited work.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 26

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Observation 9e14a86e-bb17-4ae6-9f95-b0650677a5e3 · outbound

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Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 27

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Observation 29ef450f-0f10-48ee-967a-420008cda3ec · outbound

This paper cites Kaiser, M.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Kaiser, M

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:34.431278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a85dcc65-b8d3-42e7-9cb1-57d9d49a8948 · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Dream to Control: Learning Behaviors by Latent Imagination

Reference 29

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This paper cites Micheli, E.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Micheli, E

Reference 30

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Observation 83cba1cd-5af4-40a8-a889-c6fa7942aa32 · outbound

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Reference 31

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Observation cdcf0096-8500-4471-be57-a2a7f69f86ba · outbound

This paper cites an unresolved cited work.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 32

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Observation 3c067b8d-2b56-494a-847b-ebb110e9221a · outbound

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Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 33

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Observation b5843f77-6448-457d-bbb3-e64d2aaf2308 · outbound

This paper cites Schrittwieser, I.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Schrittwieser, I

Reference 34

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Observation 9d48df79-19b7-48b7-ad84-6515c0db7b00 · outbound

This paper cites Jaegle, F.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Jaegle, F

Reference 35

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Observation 00f35743-d668-45c1-b0f3-afe9be41a040 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 36

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Observation f6c7e6c7-a0e5-42fc-8024-a970b62bd7da · outbound

This paper cites Policy Consolidation for Continual Reinforcement Learning.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Policy Consolidation for Continual Reinforcement Learning

Reference 37

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Observation 82f832ce-301b-4726-a849-9592a7234465 · outbound

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Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 38

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Observation a37fddcc-757e-4d52-a820-677a86314d8d · outbound

This paper cites Auto-Encoding Variational Bayes.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Auto-Encoding Variational Bayes

Reference 39

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Observation 5be1d56b-27d8-41ef-a37e-6c2a4112c066 · outbound

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Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning van den Oord, O

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:33.526786Z

Source-reported events for the cited work

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Observation 97aea435-9078-4de1-8748-a7caad63346d · outbound

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Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning DeepMind Lab

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09bed2c9-ca32-47ab-ae08-7ff29f7001c8 · outbound

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Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 42

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Source-reported events for the cited work

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Observation 09d6e2b7-d554-411d-9174-89e35ab71755 · outbound

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Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Categorical Reparameterization with Gumbel-Softmax

Reference 43

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Source-reported events for the cited work

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Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning LeCun, B

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7430370c-5a14-4f31-84b9-d241af7e2256 · outbound

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Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 45

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Source-reported events for the cited work

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Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 46

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d37b0c5b-51df-4556-9e2d-bf6fb873780c · outbound

This paper cites Samvelyan, T.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Samvelyan, T

Reference 47

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Source-reported events for the cited work

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Observation 642f466d-0bc1-470e-aa98-edaad5891daa · outbound

This paper cites an unresolved cited work.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Unresolved cited work

Reference 48

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Observation ccb30152-bd25-4b84-b799-820587482dd7 · outbound

This paper cites Melting Pot 2.0.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Melting Pot 2.0

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75e6f2ae-b847-4c12-9093-6f0199de36f7 · outbound

This paper cites Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b60707d-1f0a-403e-8d8c-30a975cfb7ad · outbound

This paper cites An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:20:32.326732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3fd8aaa9-eb35-4385-bc22-6b4d0790554c · outbound

This paper cites Formanek, A.

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning Formanek, A

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:32.887100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.