Paper Citation Record · LEDGER

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.25754.

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

pith.paper-citation-record.v1
2607.25754 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:39:36.594310Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

28 of 28 outbound references displayed

verified exact0
verified fuzzy0
unresolved28
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3ec31f4e-6a5d-43b5-94de-b1337eb4c4c7 · outbound

This paper cites Curiosity-driven exploration by self-supervised prediction,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Curiosity-driven exploration by self-supervised prediction,

Reference 1

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Observation 206fee08-94a0-4f66-a928-ff21c1932e42 · outbound

This paper cites Exploration by Random Network Distillation.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Exploration by Random Network Distillation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.530054Z

Source-reported events for the cited work

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Observation aa0be051-4a90-4866-83bd-5efdcb9afd4f · outbound

This paper cites Never Give Up: Learning Directed Exploration Strategies.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Never Give Up: Learning Directed Exploration Strategies

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.532933Z

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Observation 1262d794-2b6d-48b0-bff4-726e59f9c34f · outbound

This paper cites Probabilistic robotics,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Probabilistic robotics,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.535817Z

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Observation 66df500d-aca4-4d53-8d0f-7c5a73e765bc · outbound

This paper cites Neural Map: Structured Memory for Deep Reinforcement Learning.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Neural Map: Structured Memory for Deep Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.538497Z

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Observation afb69b3b-5134-46bd-8447-3f2b7940a12b · outbound

This paper cites Object goal navigation using goal-oriented semantic exploration,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Object goal navigation using goal-oriented semantic exploration,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.541485Z

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Observation 9d5dfa64-4053-4143-8fd4-1d27a7bd31d6 · outbound

This paper cites Multi-agent actor-critic for mixed cooperative-competitive environ- ments,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Multi-agent actor-critic for mixed cooperative-competitive environ- ments,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.544370Z

Source-reported events for the cited work

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Observation 9dcade0a-65c2-4487-bcaf-8e5f2b56598e · outbound

This paper cites Learning to communicate with deep multi-agent reinforcement learning,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Learning to communicate with deep multi-agent reinforcement learning,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.546817Z

Source-reported events for the cited work

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Observation 3999b10d-bfd6-4700-ae28-8b9743f4e869 · outbound

This paper cites Monotonic value function factorisation for deep multi- agent reinforcement learning,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Monotonic value function factorisation for deep multi- agent reinforcement learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.549106Z

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Observation b55dbfb5-9981-413e-86e5-b664c629b334 · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Domain randomization for transferring deep neural networks from simulation to the real world,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.551500Z

Source-reported events for the cited work

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Observation 7becbe4f-b7a4-42ec-8cdf-6b93aa456e48 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.553812Z

Source-reported events for the cited work

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Observation c65d93f8-6efa-437f-b9b6-0d73130e60c1 · outbound

This paper cites Causality meets locality: Provably generalizable and scalable policy learning for networked sys- tems,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Causality meets locality: Provably generalizable and scalable policy learning for networked sys- tems,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.556215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe0f4a67-bb12-4f36-a5bb-409401ec555b · outbound

This paper cites Dynamics generalisation in reinforcement learning via adaptive context-aware policies,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Dynamics generalisation in reinforcement learning via adaptive context-aware policies,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.558563Z

Source-reported events for the cited work

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Observation cc8eb7ff-db86-417f-9c36-ac4297ca1da3 · outbound

This paper cites Mixtures of Experts Unlock Parameter Scaling for Deep RL.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Mixtures of Experts Unlock Parameter Scaling for Deep RL

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.561037Z

Source-reported events for the cited work

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Observation 4340abcc-b9a5-4231-9cc9-42b9e4166c0b · outbound

This paper cites Unifying count-based exploration and intrinsic motivation,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Unifying count-based exploration and intrinsic motivation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.563616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 503be5f1-58b2-4db6-9e60-0d4a0188caae · outbound

This paper cites A formal basis for the heuristic determination of minimum cost paths,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning A formal basis for the heuristic determination of minimum cost paths,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.565929Z

Source-reported events for the cited work

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Observation 41d10267-6bbe-4d14-84ec-550ca3b7cebe · outbound

This paper cites A note on two problems in connexion with graphs,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning A note on two problems in connexion with graphs,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.568517Z

Source-reported events for the cited work

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Observation 03b0e116-1c4d-44f2-a84b-47da8e654c94 · outbound

This paper cites Uav path planning in 3- d constrained environments based on layered essential visibility graphs,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Uav path planning in 3- d constrained environments based on layered essential visibility graphs,

Reference 18

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Source-reported events for the cited work

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Observation 335a733d-2574-476b-8628-e046ddf9749b · outbound

This paper cites Value-Decomposition Networks For Cooperative Multi-Agent Learning.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Value-Decomposition Networks For Cooperative Multi-Agent Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.573052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03794921-a82c-48d3-ad8d-09bc7d90a7c1 · outbound

This paper cites Learning-based navigation and collision avoidance through reinforcement for uavs,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Learning-based navigation and collision avoidance through reinforcement for uavs,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.575628Z

Source-reported events for the cited work

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Observation 92b89a42-31bc-4c30-930d-cc0bf6f07437 · outbound

This paper cites Imitation and exploration: learning for vision-based communication-free multi-uav co- ordination in cluttered environments,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Imitation and exploration: learning for vision-based communication-free multi-uav co- ordination in cluttered environments,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.578016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a6dd4f2-c711-4944-b338-0df8b90be6b4 · outbound

This paper cites Self-attention-enhanced multi- agent deep reinforcement learning for uavs target search in obstacle- dense environments,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Self-attention-enhanced multi- agent deep reinforcement learning for uavs target search in obstacle- dense environments,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.580424Z

Source-reported events for the cited work

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Observation 145f718d-419b-44bb-bbf2-034d46d2546b · outbound

This paper cites Rapid decision-making strategy for uav swarms in complex adversarial environments using proximal policy optimization and transformer,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Rapid decision-making strategy for uav swarms in complex adversarial environments using proximal policy optimization and transformer,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.582735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 652db71e-f6b9-4010-9592-c6dc9ace3778 · outbound

This paper cites A survey of robot learning from demonstration,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning A survey of robot learning from demonstration,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.585045Z

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Observation 199ff8e3-bf43-4455-9fe7-c2e00d725340 · outbound

This paper cites Generative adversarial imitation learning,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Generative adversarial imitation learning,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.587478Z

Source-reported events for the cited work

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Observation c8db2d6d-238c-47f1-97e7-ba4c886f6112 · outbound

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Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.589738Z

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Unavailable: canonical work link unavailable.

Observation bf949b0b-4a81-4ddb-8636-2041a7502ae6 · outbound

This paper cites Airsim: High-fidelity visual and physical simulation for autonomous vehicles,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Airsim: High-fidelity visual and physical simulation for autonomous vehicles,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.591977Z

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Unavailable: canonical work link unavailable.

Observation 670366ca-a937-4878-ab98-04702ad2bed5 · outbound

This paper cites The surprising effectiveness of ppo in cooperative multi-agent games,.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning The surprising effectiveness of ppo in cooperative multi-agent games,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T01:39:36.594310Z

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Pith citing papers

No inbound Pith citation observations are available.