Paper Citation Record · LEDGER

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2006.07869.

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

pith.paper-citation-record.v1
2006.07869 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 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 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:15:55.657239Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

14
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8258eed5-3e33-48d4-8b28-38906598eaf5 · inbound

Multi-Agent System for Cosmological Parameter Analysis cites this paper.

Multi-Agent System for Cosmological Parameter Analysis Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.118202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dea846f-af24-400c-af1a-cd58e698a867 · inbound

Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems cites this paper.

Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T11:23:07.074504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 431129d0-3e96-4b6d-aeea-44cd422c9dfd · inbound

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations cites this paper.

Deterministic Model of Incremental Multi-Agent Boltzmann Q-Learning: Transient Cooperation, Metastability, and Oscillations Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T23:04:37.538087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b59c4fb2-8a3e-4b2f-b114-89373830a529 · inbound

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning cites this paper.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:36.585234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9259c1f1-2565-413f-be42-00293aa834dd · inbound

HIVEX: A High-Impact Environment Suite for Multi-Agent Research (extended version) cites this paper.

HIVEX: A High-Impact Environment Suite for Multi-Agent Research (extended version) Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 7454

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:24.124161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58a30f00-1af9-4bc3-bc2e-861941e7d3c0 · inbound

ColorGrid: A Multi-Agent Non-Stationary Environment for Goal Inference and Assistance cites this paper.

ColorGrid: A Multi-Agent Non-Stationary Environment for Goal Inference and Assistance Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T19:06:26.997151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1922028-8854-4da9-97d6-ebce5426a694 · inbound

Optimistic {\epsilon}-Greedy Exploration for Cooperative Multi-Agent Reinforcement Learning cites this paper.

Optimistic {\epsilon}-Greedy Exploration for Cooperative Multi-Agent Reinforcement Learning Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:17:30.907248Z

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.

Observation df9c1fca-f757-4566-853e-4a3e2ba998f6 · inbound

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication cites this paper.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T00:36:02.827053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8d52044-7d32-4448-9c39-ea837d71cd1d · inbound

Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration cites this paper.

Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T23:15:55.657239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df623b0f-5afa-4ac8-a8b9-ff2baacf55ce · inbound

Integrating Counterfactual Simulations with Language Models for Explaining Multi-Agent Behaviour cites this paper.

Integrating Counterfactual Simulations with Language Models for Explaining Multi-Agent Behaviour Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:41.938999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning cites this paper.

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

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:32.068608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f2c22e2-4dfc-4208-bb3d-12a026d54791 · inbound

From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination cites this paper.

From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:17:10.904228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dab9ba7-2994-4682-9406-65442990f983 · inbound

Remembering the Markov Property in Cooperative MARL cites this paper.

Remembering the Markov Property in Cooperative MARL Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:45.269096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a029f53-bc49-464a-8c19-859f210dd09d · inbound

Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies cites this paper.

Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-19T01:06:57.465247Z

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.

Observation d76f10dd-64d4-4753-840b-ba8f3717fa7f · inbound

cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending cites this paper.

cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T14:49:53.286553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e196b80d-e2f4-4a5a-a4ad-8a288b05d8f0 · inbound

AdaFair-MARL: Enforcing Adaptive Fairness Constraints in Multi-Agent Reinforcement Learning cites this paper.

AdaFair-MARL: Enforcing Adaptive Fairness Constraints in Multi-Agent Reinforcement Learning Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:20:11.904137Z

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.

Observation 79035392-af4c-4926-ab07-8d772f861638 · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 103

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:13:15.663980Z

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.

Observation df126020-9847-4c4d-94d5-6dc1312ef6d7 · inbound

Multi-Agent Reinforcement Learning for V2X Resource Allocation: Disentangling MARL Challenges Through Benchmarking cites this paper.

Multi-Agent Reinforcement Learning for V2X Resource Allocation: Disentangling MARL Challenges Through Benchmarking Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T22:34:17.452139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c61a811d-1cb9-4766-8d51-a4b0b2a2f09d · inbound

From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning Environments cites this paper.

From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning Environments Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:23:27.178151Z

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.

Observation 61dcb148-354e-44ae-95e4-2426dad23a5f · inbound

Scalable Neighborhood-Based Multi-Agent Actor-Critic cites this paper.

Scalable Neighborhood-Based Multi-Agent Actor-Critic Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:23:38.040503Z

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.

Observation f5a7f3e5-60c2-4d85-98c8-10252cef0166 · inbound

SOAR: Real-Time Joint Optimization of Order Allocation and Robot Scheduling in Robotic Mobile Fulfillment Systems cites this paper.

SOAR: Real-Time Joint Optimization of Order Allocation and Robot Scheduling in Robotic Mobile Fulfillment Systems Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:41:17.844145Z

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.

Observation 157ec0c9-259b-4e87-beed-e437935ab5cb · inbound

SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning cites this paper.

SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:56:27.325451Z

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.

Observation c69e52a9-7626-4c08-b9f2-7dc24462842c · inbound

SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning cites this paper.

SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:39:10.780951Z

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.

Observation 7d449fc2-f463-420e-a44e-d0e961a7747f · inbound

Rethinking Ratio-Based Trust Regions for Policy Optimization in Multi-Agent Reinforcement Learning cites this paper.

Rethinking Ratio-Based Trust Regions for Policy Optimization in Multi-Agent Reinforcement Learning Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:51:27.936155Z

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.

Observation ff9f91cb-790d-4c46-b7d5-bbddcb5401cb · inbound

DelAC: A Multi-agent Reinforcement Learning of Team-Symmetric Stochastic Games cites this paper.

DelAC: A Multi-agent Reinforcement Learning of Team-Symmetric Stochastic Games Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:32:59.348331Z

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.

Observation 770d6fbe-f2d8-4eeb-9ff0-e07cbc2b3ea7 · inbound

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning cites this paper.

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 123

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T22:15:05.801534Z

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.

Observation e1cb1706-5baf-4eb1-a04f-d320dfcec8e3 · inbound

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning cites this paper.

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:55:00.849588Z

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.

Observation c4ee1119-6609-4df4-8ed3-0d9c52a498cc · inbound

CINOC: Cardinality-Invariant Neural Operator Policies for Scalable PDE Control cites this paper.

CINOC: Cardinality-Invariant Neural Operator Policies for Scalable PDE Control Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T21:03:58.925631Z

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.

Observation 2b652c66-58f8-49d2-b7ac-07efb65f00d1 · inbound

Contract-Based Compositional Shielding for Safe Multi-Agent Reinforcement Learning cites this paper.

Contract-Based Compositional Shielding for Safe Multi-Agent Reinforcement Learning Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T07:38:02.368884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e311621e-b17b-4d73-ae61-dd336cf0c76e · inbound

Low Variance Trust Region Optimization with Independent Actors and Sequential Updates in Cooperative Multi-agent Reinforcement Learning cites this paper.

Low Variance Trust Region Optimization with Independent Actors and Sequential Updates in Cooperative Multi-agent Reinforcement Learning Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:30:07.589674Z

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.

Observation fe1c8a65-74ed-4f01-96d4-8a2de63fb823 · inbound

Explaining Reinforcement Learning Agents via Inductive Logic Programming cites this paper.

Explaining Reinforcement Learning Agents via Inductive Logic Programming Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T04:37:28.596016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 054b7093-05ad-43dc-ad85-c73cda140206 · inbound

Feedback Attribution and Representation Geometry: Metrics for Comparing Individual and Shared Rewards in MARL cites this paper.

Feedback Attribution and Representation Geometry: Metrics for Comparing Individual and Shared Rewards in MARL Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T20:47:24.012667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d89fa92f-8b2c-4ec2-a17c-90f172b60683 · inbound

MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation cites this paper.

MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-31T21:55:17.265687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.