Paper Citation Record · LEDGER

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search

As of 19 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2412.20049.

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

pith.paper-citation-record.v1
2412.20049 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:41:29.454445Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

verified exact1
verified fuzzy19
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c5778bd7-9608-4f66-96d4-40f2006ff2b3 · outbound

This paper cites Multi-agent systems for search and rescue applications,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search Multi-agent systems for search and rescue applications,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.827424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ccffe6fe-47a0-4ae1-9202-a6f5b3592739 · outbound

This paper cites A multi-agent system for environmental mon- itoring using boolean networks and reinforcement learning,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search A multi-agent system for environmental mon- itoring using boolean networks and reinforcement learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.814091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fa339f80-dc30-4818-9b08-a075ec214799 · outbound

This paper cites Deep reinforcement learning for decentralized multi-robot exploration with macro actions,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search Deep reinforcement learning for decentralized multi-robot exploration with macro actions,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.800539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d969d227-9164-438a-a39f-bfd68d132322 · outbound

This paper cites D- MARL: A dynamic communication-based action space enhancement for multi agent reinforcement learning exploration of large scale unknown environments,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search D- MARL: A dynamic communication-based action space enhancement for multi agent reinforcement learning exploration of large scale unknown environments,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.786652Z

Source-reported events for the cited work

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Observation f826a52c-2439-4afa-aacc-cad9e13bfaa3 · outbound

This paper cites Agents teaching agents: a survey on inter-agent transfer learning,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search Agents teaching agents: a survey on inter-agent transfer learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.773180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1c18e2ce-5fcb-4c86-a641-313a1f2a5dac · outbound

This paper cites Multi-agent reinforcement learn- ing: A selective overview of theories and algorithms,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search Multi-agent reinforcement learn- ing: A selective overview of theories and algorithms,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.759327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3fabac82-d61f-479b-9c79-e8e45d909bbf · outbound

This paper cites A review of collaborative air-ground robots research,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search A review of collaborative air-ground robots research,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.745388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 248d6417-946a-4a93-abc0-b1cbaf9f43dc · outbound

This paper cites A comprehensive survey on multi- agent reinforcement learning for connected and automated vehicles,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search A comprehensive survey on multi- agent reinforcement learning for connected and automated vehicles,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.731790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d9ef91fc-820a-437a-abcb-d6df0fd83518 · outbound

This paper cites A review of research on reinforcement learning algorithms for multi- agents,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search A review of research on reinforcement learning algorithms for multi- agents,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.717719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d629628e-56be-4619-b1e0-acf994391e4b · outbound

This paper cites A survey on multi-agent reinforcement learning and its application,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search A survey on multi-agent reinforcement learning and its application,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.703361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 37cefe53-096b-4b9f-87e6-396665159a48 · outbound

This paper cites Efficient multi-agent cooperation: scalable reinforcement learning with heterogeneous graph networks and limited communication,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search Efficient multi-agent cooperation: scalable reinforcement learning with heterogeneous graph networks and limited communication,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.689249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7e56c7cd-1057-48b7-ade0-e244b39e710d · outbound

This paper cites ARiADNE: A reinforcement learning approach using attention-based deep networks for exploration,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search ARiADNE: A reinforcement learning approach using attention-based deep networks for exploration,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.673669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65cb8722-3cfc-44fa-af2c-76faa87c8889 · outbound

This paper cites Multi-agent Task-Driven Exploration via Intelligent Map Compression and Sharing.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search Multi-agent Task-Driven Exploration via Intelligent Map Compression and Sharing

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:41:29.526592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 11113d98-8936-491d-ae21-2bd91ee06700 · outbound

This paper cites H2GNN: Hierarchical-hops graph neural networks for multi-robot exploration in unknown environments,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search H2GNN: Hierarchical-hops graph neural networks for multi-robot exploration in unknown environments,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.659894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1c44c7ac-6acc-4db6-86ef-2c2257c35f45 · outbound

This paper cites Multi-agent deep reinforcement learning for uavs navigation in unknown complex environment,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search Multi-agent deep reinforcement learning for uavs navigation in unknown complex environment,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.646983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a55b2b0-e3f2-4799-9ace-ecb13487c94f · outbound

This paper cites MUI-TARE: Cooperative multi-agent exploration with unknown initial position,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search MUI-TARE: Cooperative multi-agent exploration with unknown initial position,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.633018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f907b04f-4d2d-44fb-aa56-b31c4523b0b2 · outbound

This paper cites Multi-agent reinforcement learning for coordinating communication and control,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search Multi-agent reinforcement learning for coordinating communication and control,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.619540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 943550ca-394a-4333-9125-5ca4aae18f3b · outbound

This paper cites Centralized Model and Exploration Policy for Multi-Agent RL.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search Centralized Model and Exploration Policy for Multi-Agent RL

Reference 18

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Source-reported events for the cited work

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Observation fe939c66-e9ac-4a22-8873-a85237da5c17 · outbound

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Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:41:29.604192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c156ac69-b782-495d-8628-4956e7f34b88 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:41:29.588459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 845bc6d4-0b25-441c-84f1-b2f0462a8ef3 · outbound

This paper cites A systematic literature review of a* pathfinding,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search A systematic literature review of a* pathfinding,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.573978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d4f42b0d-9c7d-4648-bd08-62d6b35b0caa · outbound

This paper cites Heterogeneous-agent reinforcement learning,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search Heterogeneous-agent reinforcement learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.558657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1ac26e04-4d6d-4281-92ea-87846bc38a8f · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T23:41:29.449821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d95e649-11d4-4d8d-8568-7e5245b51cfe · outbound

This paper cites Pettingzoo: Gym for multi-agent reinforcement learning,.

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search Pettingzoo: Gym for multi-agent reinforcement learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:41:29.542924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.