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Paper Citation Record · LEDGER

A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2503.13415.

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

pith.paper-citation-record.v1
2503.13415 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:40:38.772543Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:16:53.377341Z

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 bb9ba310-deb4-4f57-8cbb-46b84a085d0c · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:52:10.217468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:95d75c59cf6dac24bd744bbb918ba9ab5c20298f04286a7ae1a6ff482f7d372a

Observation 8c38fe42-1ce9-4ed0-ba90-1b18238e6998 · inbound

Overcoming Environmental Meta-Stationarity in MARL via Adaptive Curriculum and Counterfactual Group Advantage cites this paper.

Overcoming Environmental Meta-Stationarity in MARL via Adaptive Curriculum and Counterfactual Group Advantage A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:12:15.539994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T11:08:51.426575Z digest=sha256:6b0a36f979747b5e7477c624f7a0b0ff4b6517e911bc048fa78702c634538fa8

Observation d2c722fd-1d09-4f0e-9d87-8160da36a4d9 · 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 A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:32:03.607278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-19T04:30:49.870610Z digest=sha256:4d3bd4c38fd101f734edd564cfbe2240199dc4cb978c3014adacf6c9455a0f9e

Observation 4b95f9de-8522-440a-957b-32ff47cc24b3 · inbound

Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning cites this paper.

Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:38.772543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:38.772543Z digest=sha256:49d01ceae374d67320ac49d8b8a2da567ec54fde9e6a39021a176cf98c2b43d9

Observation 3240bfba-021b-4ee1-8015-064775ff868f · inbound

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions cites this paper.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Reference 182

Resolution
unresolved
no resolver link, observed 2026-08-05T16:21:00.006913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:21:00.006913Z digest=sha256:4bce24e23310511c81334a980e6718f9c31e9aa8d3d85552e79bbf829942819a

Observation 2269b371-76bd-44a0-9007-d60834413d19 · inbound

DIANOIA: Diagnostic Decomposition and Joint Optimization for Multi-Agent Reasoning cites this paper.

DIANOIA: Diagnostic Decomposition and Joint Optimization for Multi-Agent Reasoning A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T03:22:16.265811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:22:16.265811Z digest=sha256:c2fe6bb0380bfc506e2ba91cf813bc76fb665e78ca25ba276fffd652f30d281e

Observation c244d20d-d255-4ffb-b520-f5e508a04822 · inbound

Wireless Communication Enhanced Value Decomposition for Multi-Agent Reinforcement Learning cites this paper.

Wireless Communication Enhanced Value Decomposition for Multi-Agent Reinforcement Learning A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:41:01.319609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T17:01:35.037646Z digest=sha256:b31664d89ac89d09bac8681d6c4d387785dd893fa7b62b3dea05260438bf7073

Observation 0e29458e-103e-4a84-90bd-c9c8e7e5ec54 · inbound

Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus cites this paper.

Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:45:28.407010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T13:41:07.197864Z digest=sha256:bc27a1fd29263cbd882d3f88e1f6866b3cd91a2c22ce328ab1c7d88c04061018

Observation 0eae5d6b-db86-4266-9bb9-9c2d52d20378 · inbound

Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus cites this paper.

Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T16:21:01.811472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:21:01.811472Z digest=sha256:f0ae0b5a978d5492092403a6fa3414ac105db0006e40374940743bd661e8eda2

Observation e928e370-1a94-4ad4-b69c-1ee558a55a01 · inbound

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures cites this paper.

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:51:03.872609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T04:31:28.242097Z digest=sha256:7efed5e447ea35361c67e504de23f8eb1b3bf1a41d5dfac6299d6a7d86ee3864

Observation fe6bbada-669c-4ff4-9ee4-03368ce1a214 · inbound

Conflict-Resilient Multi-Agent Reasoning via Signed Graph Modeling cites this paper.

Conflict-Resilient Multi-Agent Reasoning via Signed Graph Modeling A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:48:04.389116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T05:47:27.833457Z digest=sha256:12aaaad87f7f3325fc6b6c11f8b1675f21c49ba0eee4f1fa758b8389ee71ecf3

Observation 39f0b786-6f0d-4f00-91c6-532dd9fbaaf6 · inbound

Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition cites this paper.

Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T17:42:26.078717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T17:40:30.038337Z digest=sha256:3fd2ed568897e3ee0b462baf2130f2caa94271eccaf925e720958f6f58c911b3

Observation 64877b1d-463e-4842-b3a6-6a4c4ed0dcf2 · inbound

Learning to cooperate with emergent reputation via multi-agent reinforcement learning cites this paper.

Learning to cooperate with emergent reputation via multi-agent reinforcement learning A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T11:16:53.379222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T04:23:39.844854Z digest=sha256:37afcd175d9d297e530f3adb6d941b80b223a69920fa7c20455b36a8d3262ada

Observation b46da7ba-6a2f-4517-8b6d-897eebca5ab7 · inbound

Toward a Unified Security and Privacy Framework for AI-Native 6G Networks cites this paper.

Toward a Unified Security and Privacy Framework for AI-Native 6G Networks A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-07-02T10:26:51.400952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-02T10:26:41.609641Z digest=sha256:39a09ba6ca33513f48125ee8d505007398d979b3ca8550a8b4a9ac63ca2ed626

Observation 90792aea-0112-4e1a-8df2-3583722b2233 · inbound

RideGym: A Standardized Interface for Real-World Large-Scale Ride-Sharing System cites this paper.

RideGym: A Standardized Interface for Real-World Large-Scale Ride-Sharing System A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-14T13:45:10.880913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T13:45:10.880913Z digest=sha256:bb5f411b4618f06b71102e35aa67c505023b7d316689f18ff62c8e2987092ab2

Observation 28c4cdc4-dd85-4fcf-88e9-e25e415ddba4 · 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 A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-01T16:42:02.557564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:42:02.557564Z digest=sha256:ccee198f2498c2575b8eb181a99e48bf9e4d0d1c4331623982610d8bbbedc1ce