Paper Citation Record · LEDGER

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2212.07489.

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

pith.paper-citation-record.v1
2212.07489 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:16:13.321615Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:47:18.874078Z

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 dfce5b36-d1ae-4c05-a0ac-a70ba8e91423 · inbound

Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning cites this paper.

Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T11:17:59.015593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ba4778a-a811-4592-b622-28c22ec30706 · inbound

CTC: The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning cites this paper.

CTC: The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T19:24:22.949260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be604130-52a3-480a-b62e-408e824ae902 · inbound

Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning cites this paper.

Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T18:50:49.787330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 471b4d97-cece-4c7a-aad5-ae97236e3877 · inbound

Fixing Incomplete Value Function Decomposition for Multi-Agent Reinforcement Learning cites this paper.

Fixing Incomplete Value Function Decomposition for Multi-Agent Reinforcement Learning SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:16:13.321615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 394f1c3e-d73e-48ac-9497-39555c94c967 · inbound

Light Aircraft Game : Basic Implementation and training results analysis cites this paper.

Light Aircraft Game : Basic Implementation and training results analysis SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:07.425085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9cf3c3c-8c82-4afe-835d-d8c8b7442702 · 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 SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T17:57:08.282307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06285515-2a5a-4902-8f8a-d1abc47af237 · inbound

Play Like Champions: Counterfactual Feedback Generation in Latent Space cites this paper.

Play Like Champions: Counterfactual Feedback Generation in Latent Space SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:47:18.876157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c87bc531-43ab-433f-a7b1-bd217364ef5c · 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 SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T20:47:23.233769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bcbad1a-ce27-4c67-9e50-ac4cf8d5ab1f · inbound

DungeonBench: A Benchmark for Rules-Rich Tactical Reasoning in Dungeons & Dragons Combat cites this paper.

DungeonBench: A Benchmark for Rules-Rich Tactical Reasoning in Dungeons & Dragons Combat SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T04:15:05.572715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccfde3ed-aee8-483f-ba6e-a5bd5085bef3 · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-05T15:25:39.630031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.