Paper Citation Record · LEDGER

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 40 inbound Pith citation observations for arXiv:2011.09533.

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

pith.paper-citation-record.v1
2011.09533 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:46:38.714757Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b99431d3-2252-4f03-b794-098f943e8cf2 · inbound

One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms cites this paper.

One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:32:03.586785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 40c7aafe-1818-47aa-bfd5-9d4235072655 · 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 Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T01:06:57.382182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5c2ab09e-d822-4490-9eb9-f8159364714b · inbound

GLo-MAPPO: Multi-Agent Deep Reinforcement Learning for Energy-Efficient UAV-Assisted LoRa Networks cites this paper.

GLo-MAPPO: Multi-Agent Deep Reinforcement Learning for Energy-Efficient UAV-Assisted LoRa Networks Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T15:01:32.085928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b6741e5a-2b25-4477-aa15-168156f3a141 · inbound

Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic cites this paper.

Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:50:49.388973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 24fd116b-8dd5-454b-8514-0d1b368a94c2 · inbound

Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic cites this paper.

Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T06:46:38.714757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b14eaffc-0966-4b5b-9580-29998a472d35 · inbound

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning cites this paper.

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:45:29.811527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 83b20bd7-556a-4f4e-b745-9a534703513d · inbound

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning cites this paper.

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T05:37:38.423388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b05aa95b-e6cf-4be0-823d-dde141e83ccf · inbound

Diffusing to Coordinate: Efficient Online Multi-Agent Diffusion Policies cites this paper.

Diffusing to Coordinate: Efficient Online Multi-Agent Diffusion Policies Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T22:04:22.549456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60db8146-90a8-4062-8d0a-46492b782f67 · inbound

Dynamics of Cognitive Heterogeneity: Investigating Behavioral Biases in Multi-Stage Supply Chains with LLM-Based Simulation cites this paper.

Dynamics of Cognitive Heterogeneity: Investigating Behavioral Biases in Multi-Stage Supply Chains with LLM-Based Simulation Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:11:20.592675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e038e97b-2a29-45bf-bc6e-7a28b318c74a · inbound

A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication cites this paper.

A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:31:15.706553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6c4fe843-9dfb-4b72-9bd5-19ac74c87580 · inbound

Quality-Aware Exploration Budget Allocation for Cooperative Multi-Agent Reinforcement Learning cites this paper.

Quality-Aware Exploration Budget Allocation for Cooperative Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:45:22.780858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4290e2d3-909c-4b6a-b7ed-e1870042122d · inbound

Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces cites this paper.

Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:15:37.820927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 20c57cab-65df-4d84-8218-e63f0fbf767d · inbound

Structural Equivalence and Learning Dynamics in Delayed MARL cites this paper.

Structural Equivalence and Learning Dynamics in Delayed MARL Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:46:07.709119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c38b668d-a53e-4f24-a17a-6a7b421a95c9 · inbound

Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game cites this paper.

Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:21:09.388718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 75138870-8272-484a-9218-698e54175b46 · inbound

Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game cites this paper.

Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T01:56:15.147649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fc339639-4794-43a5-abd6-f2ba17a25203 · inbound

Randomness is sometimes necessary for coordination cites this paper.

Randomness is sometimes necessary for coordination Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:50:57.900648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c634d3e0-8393-4da6-b01f-ec8b39e57407 · 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 Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:56:27.404219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6de7d519-8b61-411f-84ff-47e02ec75580 · 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 Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T22:39:10.758260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 84cb4efb-6fab-4b5b-a452-3716599bcc6f · 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 Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:51:27.893046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e698a5a8-1cdf-4f2f-b70c-e82f62831d62 · inbound

Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning cites this paper.

Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:36:26.498975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a5ad4a25-8ea7-4128-80c7-4f3953a11455 · inbound

Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning cites this paper.

Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-13T03:27:11.260747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a1ff86c5-aba8-4698-a5f5-b696f6578a49 · inbound

Shaping Zero-Shot Coordination via State Blocking cites this paper.

Shaping Zero-Shot Coordination via State Blocking Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T07:42:30.236738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f3a0ce6f-4c6b-4c7a-8d67-989fce7a2aa5 · inbound

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

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 136

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:15:05.787678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 47dda601-d95f-42e7-995d-3a8ec4c1a790 · inbound

GAE Falls Short in Imperfect-Information Self-Play Reinforcement Learning cites this paper.

GAE Falls Short in Imperfect-Information Self-Play Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T07:53:10.038170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d3c6a7a1-6985-41e2-873f-bc226bbff538 · inbound

Multi-Agent Reinforcement Learning for Safe Autonomous Driving Under Pedestrian Behavioral Uncertainty cites this paper.

Multi-Agent Reinforcement Learning for Safe Autonomous Driving Under Pedestrian Behavioral Uncertainty Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T08:19:52.576414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e3754cdb-3ace-4344-8be2-5eb1a42be905 · inbound

Multi-Agent Reinforcement Learning for Safe Autonomous Driving Under Pedestrian Behavioral Uncertainty cites this paper.

Multi-Agent Reinforcement Learning for Safe Autonomous Driving Under Pedestrian Behavioral Uncertainty Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:45:00.623817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 83b36f02-d62c-4f55-8c06-2ed93933cb6c · inbound

ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning cites this paper.

ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-25T02:46:33.540674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation add93690-0dcf-4584-90f2-b6e882e146c9 · inbound

One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents cites this paper.

One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-25T04:10:19.524254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 25717b9d-3024-4e1f-be48-7c30eb504949 · inbound

Benchmarking Open-Ended Multi-Agent Coordination in Language Agents cites this paper.

Benchmarking Open-Ended Multi-Agent Coordination in Language Agents Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:07:25.850015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation adc1b065-e8ad-42f1-a495-a8b85f0b62f7 · inbound

Uncertainty-Aware Motion Planning for Autonomous Driving in Mixed Traffic Environment cites this paper.

Uncertainty-Aware Motion Planning for Autonomous Driving in Mixed Traffic Environment Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:47:31.271184Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f258d79e-a570-4c29-b562-06bafb526b94 · inbound

$\alpha$-fair heterogeneous agent reinforcement learning cites this paper.

$\alpha$-fair heterogeneous agent reinforcement learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-27T05:20:35.875559Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0b2e67d2-63d4-4938-9fee-6a1bfda13a8b · inbound

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

Contract-Based Compositional Shielding for Safe Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 8

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 ef5355c4-7fd3-44a2-91fb-08055c8b5910 · 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 Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:30:07.596579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 347de482-8002-400c-83e8-a35140fdc7c7 · inbound

HiComm: Hierarchical Communication for Multi-agent Reinforcement Learning cites this paper.

HiComm: Hierarchical Communication for Multi-agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T08:04:28.210847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2d7aaac3-d058-4123-9638-4b946932fc9f · inbound

HiComm: Hierarchical Communication for Multi-agent Reinforcement Learning cites this paper.

HiComm: Hierarchical Communication for Multi-agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:57:22.693570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation cfec2997-ff53-495a-abba-cdb0ea09d976 · inbound

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection cites this paper.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T00:56:24.158913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 779a09df-d05f-4cf1-a990-836252a614ad · inbound

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning cites this paper.

Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-13T03:08:01.590659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c22faf1-3755-4a3d-93d9-02b132b4cc65 · inbound

Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents cites this paper.

Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T04:50:33.029683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfb80bfe-04ff-4c44-bc48-6d234cb14935 · inbound

Aggregate in the Advantage, Not the Ratio: A Canonical-Form Analysis of Cooperative Multi-Agent Policy Optimization cites this paper.

Aggregate in the Advantage, Not the Ratio: A Canonical-Form Analysis of Cooperative Multi-Agent Policy Optimization Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T16:42:02.462350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd66d22c-d191-46c2-ada4-64c274546c7d · inbound

Dreamer-CPC: Message Learning with World Models for Decentralized Multi-agent Reinforcement Learning cites this paper.

Dreamer-CPC: Message Learning with World Models for Decentralized Multi-agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T11:44:45.826996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.