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Paper Citation Record · LEDGER

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning

As of 21 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2506.20039.

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

pith.paper-citation-record.v1
2506.20039 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:02:24.707037Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

34 of 34 outbound references displayed

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External citation measurements

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Outbound references

Observation 7a5639bf-cd14-43b5-a012-a0a69ed01672 · outbound

This paper cites Stable matching with uncertain linear preferences.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Stable matching with uncertain linear preferences

Reference 1

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Observation 46769786-b675-40a3-a040-f7aa58ebd7ad · outbound

This paper cites College admissions and the stability of marriage.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning College admissions and the stability of marriage

Reference 2

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b3eac34b-3100-42c6-bac9-33fdde0e2e1e · outbound

This paper cites Hypernetworks.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Hypernetworks

Reference 3

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b12e2aae-af6c-441f-9dfa-84008a9a6a11 · outbound

This paper cites Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning

Reference 4

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e94a828c-58e2-4c64-8e4a-e45361a16340 · outbound

This paper cites Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dab9c7a8-6212-41bd-8a69-735047f87efe · outbound

This paper cites Randomized entity-wise factorization for multi-agent reinforcement learning.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Randomized entity-wise factorization for multi-agent reinforcement learning

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3435bb02-3a28-4653-920e-dc5c22e034e9 · outbound

This paper cites Supplementary material: Randomized entity-wise factorization for multi-agent reinforcement learning.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Supplementary material: Randomized entity-wise factorization for multi-agent reinforcement learning

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T23:02:24.618001Z digest=sha256:d9bc72e5eea4f056fdff75f8deb94ba9bcbb726c8f85e4c8ff62d0a2da24f252

Observation d47118d0-70bb-4634-9c74-dd1881eff4e8 · outbound

This paper cites Improved bandits in many-to-one matching markets with incentive compatibility.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Improved bandits in many-to-one matching markets with incentive compatibility

Reference 8

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 48877d1c-c5e1-49c7-a250-fe9c15168b0b · outbound

This paper cites a fer, Andrew Wing Keung To, Kuan-Ho Lao, Murat Cubuktepe, Matthew Haley, Peter B \.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning a fer, Andrew Wing Keung To, Kuan-Ho Lao, Murat Cubuktepe, Matthew Haley, Peter B \

Reference 9

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 11642d83-dec9-4ef0-b41c-a368e80bbd12 · outbound

This paper cites Traffic control via connected and automated vehicles (cavs): An open-road field experiment with 100 cavs.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Traffic control via connected and automated vehicles (cavs): An open-road field experiment with 100 cavs

Reference 10

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f2658eeb-cf3b-4a2e-b0fd-10e43b7393c3 · outbound

This paper cites Self-improving reactive agents based on reinforcement learning, planning and teaching.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Self-improving reactive agents based on reinforcement learning, planning and teaching

Reference 11

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 074fbe33-7275-424d-b5c2-707fa11fb79c · outbound

This paper cites Coach-player multi-agent reinforcement learning for dynamic team composition.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Coach-player multi-agent reinforcement learning for dynamic team composition

Reference 12

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f04278ee-2dca-4be7-8668-28abe5cb1af1 · outbound

This paper cites Competing bandits in matching markets.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Competing bandits in matching markets

Reference 13

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Observation 98c76698-e626-437e-ab70-29ce687b52ae · outbound

This paper cites Human-level control through deep reinforcement learning.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Human-level control through deep reinforcement learning

Reference 14

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Observation ec4aa29f-00a0-4ba2-91cc-cd15e4de6e4a · outbound

This paper cites A concise introduction to decentralized POMDPs, volume 1.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning A concise introduction to decentralized POMDPs, volume 1

Reference 15

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Observation faf24d3a-6bef-4210-af83-591500930fd0 · outbound

This paper cites Vast: Value function factorization with variable agent sub-teams.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Vast: Value function factorization with variable agent sub-teams

Reference 16

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b0c198d2-9533-4526-acaf-86a06819ec17 · outbound

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

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning

Reference 17

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Observation b03041e7-9959-45ee-8da9-140caa03d69b · outbound

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Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning The evolution of the labor market for medical interns and residents: a case study in game theory

Reference 18

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Observation 06b10604-25c5-4091-bfbd-c09cfbb03418 · outbound

This paper cites The redesign of the matching market for american physicians: Some engineering aspects of economic design.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning The redesign of the matching market for american physicians: Some engineering aspects of economic design

Reference 19

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Observation bc81f89e-a19b-4baf-ac9f-ab4709027df4 · outbound

This paper cites The StarCraft Multi-Agent Challenge.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 20

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Observation ada18395-8398-4d1a-a694-79c060c82b58 · outbound

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Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Multi-agent common knowledge reinforcement learning

Reference 21

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f4faa8b9-647b-4e8e-89f9-ba215c9f7986 · outbound

This paper cites Self-organized group for cooperative multi-agent reinforcement learning.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Self-organized group for cooperative multi-agent reinforcement learning

Reference 22

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Observation ed8dc84d-6866-4c25-9f4d-c70d3531a74c · outbound

This paper cites Complementary attention for multi-agent reinforcement learning.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Complementary attention for multi-agent reinforcement learning

Reference 23

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ca2d4e57-492d-4b92-bb8b-f21c5dd1636b · outbound

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Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Value-Decomposition Networks For Cooperative Multi-Agent Learning

Reference 24

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Observation c80fa642-2190-4b68-9251-4bc3e882a074 · outbound

This paper cites RODE: Learning Roles to Decompose Multi-Agent Tasks.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning RODE: Learning Roles to Decompose Multi-Agent Tasks

Reference 25

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9060c47b-6fa1-4cdf-9415-78ce84c183be · outbound

This paper cites Bandit learning in many-to-one matching markets.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Bandit learning in many-to-one matching markets

Reference 26

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 97288320-c884-49c6-bae7-fbb21fb06501 · outbound

This paper cites Mutual-information regularized multi-agent policy iteration.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Mutual-information regularized multi-agent policy iteration

Reference 27

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T23:02:24.687037Z digest=sha256:b87fc2c4729c270379bc7fa393731e95f6550d354e57f2973dd2656f9929ab9e

Observation c503f879-3746-428b-b69b-6e01fede1f7c · outbound

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Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Differential Transformer

Reference 28

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source=arxiv_source observed=2026-08-06T23:02:24.690287Z digest=sha256:5ad94217207d01953ac6efe22e63631aae2dc5b732f7cf451f3cb5745d0a2329

Observation df51810c-7d7a-4e63-86a5-5ac8f72de928 · outbound

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Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning The surprising effectiveness of ppo in cooperative multi-agent games

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T23:02:24.693264Z digest=sha256:7a662a1257867ce800ad6cbeae5ab0836f4e6b7e23d4ec06c4ce6ca27d3cfdb4

Observation c0cdff10-c6fa-4fd4-b3c1-999bbac6c4e7 · outbound

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Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Automatic grouping for efficient cooperative multi-agent reinforcement learning

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T23:02:24.696185Z digest=sha256:31f8e227cf8f498c06ac70b1f4f25d76d16e976b328481348db1c10db6fcfdf0

Observation 7831cae8-b698-456b-b2b7-ef239124daef · outbound

This paper cites Multi-Agent Collaboration via Reward Attribution Decomposition.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Multi-Agent Collaboration via Reward Attribution Decomposition

Reference 31

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:24.699200Z digest=sha256:bd4d58f2ab97a706035a4f0635419dfcbc0fd1021f9c20b2b492c1134408f8cd

Observation 74d00d99-fcb3-4167-8165-a11aea147ea3 · outbound

This paper cites Decentralized two-sided bandit learning in matching market.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Decentralized two-sided bandit learning in matching market

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T23:02:24.701863Z digest=sha256:766719813ad49404f0b94ddbd4237c491aab47dc2fcf3fe32013fdf68f2a18fa

Observation 67482f99-fa48-4f50-be2f-7b43f3202e1e · outbound

This paper cites Field Deployment of Multi-Agent Reinforcement Learning Based Variable Speed Limit Controllers.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning Field Deployment of Multi-Agent Reinforcement Learning Based Variable Speed Limit Controllers

Reference 33

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local_arxiv, observed 2026-08-06T23:02:24.741328Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T23:02:24.704454Z digest=sha256:927dbbd8716d10fa016e61ea102808c3627a52082b23130f8eaabd92a2d062bc

Observation 1156f9e6-8de7-4150-8229-83f3eadb02b5 · outbound

This paper cites write newline.

Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning write newline

Reference 34

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source=arxiv_source observed=2026-08-06T23:02:24.707037Z digest=sha256:414eca7da19086e04cf302a90d46353b72be89de7eefcd76488643ad81c055f7

Pith citing papers

No inbound Pith citation observations are available.