Paper Citation Record · LEDGER

Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2301.03398.

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

pith.paper-citation-record.v1
2301.03398 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:04:02.380740Z

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

11
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 a0d22916-023a-49d2-ae23-165b655e0e06 · inbound

Dynamic Graph Communication for Decentralised Multi-Agent Reinforcement Learning cites this paper.

Dynamic Graph Communication for Decentralised Multi-Agent Reinforcement Learning Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-10T23:04:02.380740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0b2bb75-0a95-48c7-9485-ab9b6c40a041 · inbound

Asynchronous Cooperative Multi-Agent Reinforcement Learning with Limited Communication cites this paper.

Asynchronous Cooperative Multi-Agent Reinforcement Learning with Limited Communication Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:35:20.724645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2abce512-9734-46a9-acc7-af9c0fe8f909 · inbound

An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents cites this paper.

An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T19:01:25.675241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7f0d005-5545-443a-9a50-b72908580102 · inbound

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

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:15:06.084776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1ab93097-4351-48ce-bd3f-368c2b708dd0 · 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 Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T15:25:39.480728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.