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Paper Citation Record · LEDGER

Game-Theoretic Multiagent Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2011.00583.

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

pith.paper-citation-record.v1
2011.00583 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:42.394220Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:29:44.152952Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7cf94762-5dcd-43ea-b174-e0f7a9998755 · inbound

Ego-centric Learning of Communicative World Models for Autonomous Driving cites this paper.

Ego-centric Learning of Communicative World Models for Autonomous Driving Game-Theoretic Multiagent Reinforcement Learning

Reference 23

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no resolver link, observed 2026-08-07T05:27:42.394220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:42.394220Z digest=sha256:473f8f34e0ca0e1ff4893f4807bd5523c8f1b614036dd9360aec2cac348d3113

Observation e7f07ed4-4bf4-4b1d-ab33-f0f1a927a2b2 · inbound

Dilution, Diffusion and Symbiosis in Spatial Prisoner's Dilemma with Reinforcement Learning cites this paper.

Dilution, Diffusion and Symbiosis in Spatial Prisoner's Dilemma with Reinforcement Learning Game-Theoretic Multiagent Reinforcement Learning

Reference 70

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no resolver link, observed 2026-08-06T20:39:08.673237Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:39:08.673237Z digest=sha256:c12b08bc8b5bb975ef52abfe17d095a7938a3c2d7ffbd6028911ebd2056ad727

Observation a2bfb1c4-9dc4-4e15-bb11-b730022e30fd · inbound

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective cites this paper.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Game-Theoretic Multiagent Reinforcement Learning

Reference 168

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no resolver link, observed 2026-08-06T17:57:08.757441Z

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source=pdf_text observed=2026-08-06T17:57:08.757441Z digest=sha256:b6d44fe9744dd1f4435574d61f38f142a0bec4e9e8a6024bbef445f6693bafac

Observation 01f08913-1c6e-4b4d-91ad-4421eb8af822 · inbound

Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning cites this paper.

Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning Game-Theoretic Multiagent Reinforcement Learning

Reference 27

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arxiv_id, observed 2026-05-18T15:51:33.858683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T15:50:58.208995Z digest=sha256:64f342f34ab46b76d1fff2bec758bc15a71ef3bbcb95b0030596f71aaebf0832

Observation a2c906cc-a6cc-4f66-8dc8-5924c8b86544 · inbound

Policy Gradient with Self-Attention for Model-Free Distributed Nonlinear Multi-Agent Games cites this paper.

Policy Gradient with Self-Attention for Model-Free Distributed Nonlinear Multi-Agent Games Game-Theoretic Multiagent Reinforcement Learning

Reference 26

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source=pdf_text observed=2026-08-04T15:51:50.162223Z digest=sha256:40f300cb8108966b9f127e045666526e8fdbec435c55307a759d72d7be478eb1

Observation 96f3b78f-c4f2-4554-91b1-3b91658cf73c · inbound

An Agent-Centric Dynamical Systems Perspective on Multi-Agent Reinforcement Learning cites this paper.

An Agent-Centric Dynamical Systems Perspective on Multi-Agent Reinforcement Learning Game-Theoretic Multiagent Reinforcement Learning

Reference 59

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no resolver link, observed 2026-08-03T17:57:01.618808Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:57:01.618808Z digest=sha256:ee684eb169ae45da3f259843328d9207028a97d893fad3dffff6ffcac1ecaf4c

Observation 901848d3-df23-40e7-9960-f293114ed597 · inbound

Homing through Reinforcement Learning cites this paper.

Homing through Reinforcement Learning Game-Theoretic Multiagent Reinforcement Learning

Reference 25

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no resolver link, observed 2026-08-03T03:21:02.658487Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:21:02.658487Z digest=sha256:f638fd66365e5e7952fce96fecb21b8baed05044b928afaebf150454d0e74b95

Observation 4dcfe501-143d-4e7a-b0e8-fbbfaac4707c · inbound

Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning cites this paper.

Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning Game-Theoretic Multiagent Reinforcement Learning

Reference 31

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no resolver link, observed 2026-08-02T20:01:01.525082Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:01:01.525082Z digest=sha256:61fe9d05b2bc97ab86f6c45604d37c6a75d5390dd27ed35337519f14ec11c419

Observation f8c4e402-110b-48a3-a674-fbc38a0b5302 · inbound

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model cites this paper.

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model Game-Theoretic Multiagent Reinforcement Learning

Reference 38

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verified exact
arxiv_id, observed 2026-05-11T04:30:55.920669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T01:19:42.892343Z digest=sha256:aae1dffe2148c59e03277faabdcd2f11508feebd59649d1f18605e3619888832

Observation 6a34fac5-1089-4f72-8471-a28d675b9d56 · inbound

Equilibrium and Pricing in Consumer Networks with Nonlinear Utilities: An Online Shape-Constrained Learning Approach cites this paper.

Equilibrium and Pricing in Consumer Networks with Nonlinear Utilities: An Online Shape-Constrained Learning Approach Game-Theoretic Multiagent Reinforcement Learning

Reference 75

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arxiv_id, observed 2026-05-15T01:48:28.765815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T01:44:55.089973Z digest=sha256:1215925bf5add2b940c9bb92e32598243e34f4231a9a5582800aa96b5582ddb0

Observation 3140ed63-7dfd-4d76-8811-338169d8e264 · inbound

Sample-efficient inductive matrix completion with noise and inexact side-information cites this paper.

Sample-efficient inductive matrix completion with noise and inexact side-information Game-Theoretic Multiagent Reinforcement Learning

Reference 102

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verified exact
arxiv_id, observed 2026-05-20T14:08:21.015617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T14:04:44.364824Z digest=sha256:162154d41bc25db83d4cb6b02d81142eea81312e37ee73a877ad080275fc6ff5

Observation 7661efd5-31c8-4a64-b9e1-e4e5fc134ed9 · inbound

Understanding Dynamics of Adam in Zero-Sum Games: An ODE Approach cites this paper.

Understanding Dynamics of Adam in Zero-Sum Games: An ODE Approach Game-Theoretic Multiagent Reinforcement Learning

Reference 7

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arxiv_id, observed 2026-05-20T07:53:09.858549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T07:50:52.050949Z digest=sha256:b9a11bd8f094be7ecccc46fffcbe8d4154e2f7a2bee34e9282b6614f84ad1d7e

Observation 1622cf25-36bc-4b78-ac98-ee0b0c320d51 · inbound

Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork cites this paper.

Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork Game-Theoretic Multiagent Reinforcement Learning

Reference 12

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metadata mismatch
arxiv_id, observed 2026-06-30T13:44:40.658304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T13:41:33.048760Z digest=sha256:263b70253db26ad737753e5b619eb4b805ea56f6aaa3e4b563ea6d7354f06e13

Observation 5dc61c96-9e3f-475b-a16a-fca216f9f119 · inbound

On the Geometry of Games and their Solvers cites this paper.

On the Geometry of Games and their Solvers Game-Theoretic Multiagent Reinforcement Learning

Reference 28

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verified exact
arxiv_id, observed 2026-06-29T07:53:13.525835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T07:48:32.317293Z digest=sha256:f453f35e88137ca470ace02579528cdddc8be400a54a9f90e08bd9576fde0a65

Observation 7ffc8502-34fb-41ae-a8eb-af540dc75423 · inbound

Do Not Discretize, Optimize: Almost Greedy Fictitious Play cites this paper.

Do Not Discretize, Optimize: Almost Greedy Fictitious Play Game-Theoretic Multiagent Reinforcement Learning

Reference 16

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arxiv_id, observed 2026-07-03T13:38:18.551458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T07:50:44.299416Z digest=sha256:b594e1ad0264f0e6a6af4a383337e632150ebb647dc6d08198d4be03aa7ff94e

Observation 50df0a72-b1bc-46c6-8966-e6f80626b861 · inbound

WebCQ: Cooperative Multi-Agent Deep Reinforcement Learning for Scalable Web GUI Testing cites this paper.

WebCQ: Cooperative Multi-Agent Deep Reinforcement Learning for Scalable Web GUI Testing Game-Theoretic Multiagent Reinforcement Learning

Reference 46

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arxiv_id, observed 2026-07-04T09:29:44.154908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T09:54:19.822312Z digest=sha256:a3d3f7a7934d04555ae5b1bcd3977c764cb94af12a0b41428fda55b526716195

Observation 03e07c32-802b-4575-ab27-4553dd73f86c · inbound

Trajectory-Aware Retrieval Agents for Temporal Decision- Making cites this paper.

Trajectory-Aware Retrieval Agents for Temporal Decision- Making Game-Theoretic Multiagent Reinforcement Learning

Reference 73

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no resolver link, observed 2026-08-02T08:18:47.694004Z

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Unavailable: canonical work link unavailable.

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