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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:8b748e20a5f9838b3f8093d5b49c727a50fb9c1c1d65dfd276e4b5e2eff8d64a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T11:08:51.426575Z digest=sha256:0caf5c775808e607b09cba0f90fd562cb09f0436eec801bd60c7f362b63335fa

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-19T04:30:49.870610Z digest=sha256:010fac961aa3f06f2188e27aea24b7ec89c3164e18293ffd4d6f6bb52f7d0965

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:ce8f891bfd85c02fc3297d190370d4f8d39a1b9b3835145f03823a2cc573d442

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=sha256:8b80648f56bf2be13335d8132c75840254f02f1f6df43ac8fc541d30decec734

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=sha256:6dfba2f510c8c787a6bc89b35ab16402057dc3311af549cb7ecc1af98f7307f3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:01:35.037646Z digest=sha256:895e7e067af2657cf1f1c0a7256c1f24951104b6f479eb7b3ac931241d104639

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T13:41:07.197864Z digest=sha256:d99f8561fdff90c2ae8a5878fd3da63dcab580b96783254721b439aa6b2b4155

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=sha256:86198f1ae42b33229e69fe43a103f635f873a53580cb31467ee244c612744e74

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T04:31:28.242097Z digest=sha256:50efe38790c8d6274b35808bb93dd7b96af8b980187af5b3e4fbea3660ef0b4b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T05:47:27.833457Z digest=sha256:0f8c0416523ff333219920a97a9772c37a55cf8aac54d63731ed2e7aaa9d5669

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T17:40:30.038337Z digest=sha256:d1f0b1b2426a6f56150be3be6307aeac47ffa807229691b265b756cced574c63

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T04:23:39.844854Z digest=sha256:af470d1975abd78bc368326d76d911b80e9405843a8c3470189d63d810109c88

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-02T10:26:41.609641Z digest=sha256:8df84090da6a70f02e34e3054a56eca36538fc680fddb2eaf8a1076aa323c72c

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=sha256:12681e77c68387063d49569c4bcb777fcb49e4ad79499b7eb1943e0ae57402c1

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:c00c75f46b948ab4781c157d966f5511ba2931e493159f118754912ca5763a74