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Paper Citation Record · LEDGER

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection

As of 8 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.00324.

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

pith.paper-citation-record.v1
2607.00324 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-02T00:50:38.051501Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation 334f5d9b-b150-4a75-a1a6-f405facc94c0 · outbound

This paper cites Maritime internet of things: Challenges and solutions,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Maritime internet of things: Challenges and solutions,

Reference 1

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Observation e86ac555-c228-40fe-a51a-8c832a442f8b · outbound

This paper cites A survey on UA V-aided maritime communications: Deployment considerations, applications, and future challenges,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection A survey on UA V-aided maritime communications: Deployment considerations, applications, and future challenges,

Reference 2

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Observation 7c0d17e5-be02-4544-b7c7-b4a418c6c678 · outbound

This paper cites Energy-efficient UA V- aided ocean monitoring networks: Joint resource allocation and trajectory design,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Energy-efficient UA V- aided ocean monitoring networks: Joint resource allocation and trajectory design,

Reference 3

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Observation 7cbe8b67-9f11-4791-a2c5-17df832bc7c4 · outbound

This paper cites Integrated sensing and communications: Toward dual-functional wire- less networks for 6G and beyond,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Integrated sensing and communications: Toward dual-functional wire- less networks for 6G and beyond,

Reference 4

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Observation 69f7bf06-9159-4c7a-8464-304a2a6ade0a · outbound

This paper cites A vision and framework for the high altitude platform station (HAPS) networks of the future,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection A vision and framework for the high altitude platform station (HAPS) networks of the future,

Reference 5

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Source-reported events for the cited work

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Observation e841fe92-9fed-41c7-844d-62e636e89957 · outbound

This paper cites UA V-enabled joint sensing, communication, powering, and backhaul transmission in maritime monitoring networks,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection UA V-enabled joint sensing, communication, powering, and backhaul transmission in maritime monitoring networks,

Reference 6

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Source-reported events for the cited work

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Observation fc6bfd8f-e351-4bd5-ba2b-3779fe8e1a58 · outbound

This paper cites Joint maneuver and beamforming design for UA V-enabled integrated sensing and communication.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Joint maneuver and beamforming design for UA V-enabled integrated sensing and communication

Reference 7

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Source-reported events for the cited work

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Observation 473d31be-a7ad-49fe-803d-a36991380b32 · outbound

This paper cites Cooperative trajectory planning and resource allocation for UA V-enabled integrated sensing and communication systems,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Cooperative trajectory planning and resource allocation for UA V-enabled integrated sensing and communication systems,

Reference 8

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Source-reported events for the cited work

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Observation f4008877-d125-49b6-ae1c-1ba9e3067b36 · outbound

This paper cites Energy-efficient trajectory design for UA V- aided maritime data collection in wind,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Energy-efficient trajectory design for UA V- aided maritime data collection in wind,

Reference 9

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Source-reported events for the cited work

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Observation 0c440b24-bbd8-4954-acea-070ce3bd17f0 · outbound

This paper cites Throughput maximization for UA V-enabled integrated periodic sensing and commu- nication,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Throughput maximization for UA V-enabled integrated periodic sensing and commu- nication,

Reference 10

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Observation 4557bbb6-f12f-48bb-a7d3-a3d5be39696d · outbound

This paper cites Energy minimization for wireless communication with rotary-wing UA V.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Energy minimization for wireless communication with rotary-wing UA V

Reference 11

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Source-reported events for the cited work

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Observation 659ecb21-4422-4415-966e-9ca29b9d8374 · outbound

This paper cites UA V-enabled integrated sensing and communication: Opportunities and challenges,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection UA V-enabled integrated sensing and communication: Opportunities and challenges,

Reference 12

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Observation c6101185-aded-4139-ba19-db6eaf9498dc · outbound

This paper cites UA V-enabled integrated sensing and communication: Tracking design and optimization.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection UA V-enabled integrated sensing and communication: Tracking design and optimization

Reference 13

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Source-reported events for the cited work

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Observation 3edbeef5-0a2f-43aa-ae0d-572fa786be6a · outbound

This paper cites Trajectory design and power control for joint radar and communication enabled multi-UA V cooperative detection systems,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Trajectory design and power control for joint radar and communication enabled multi-UA V cooperative detection systems,

Reference 14

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Source-reported events for the cited work

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Observation e4d82d32-3a18-417b-8378-7e56fb182021 · outbound

This paper cites Joint multi-domain resource allocation and trajectory optimization in UA V-assisted maritime IoT networks,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Joint multi-domain resource allocation and trajectory optimization in UA V-assisted maritime IoT networks,

Reference 15

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Observation 44eee5b3-9b73-48fc-8f58-fb708bebc763 · outbound

This paper cites UA V-enabled integrated sensing and communication in maritime emergency networks,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection UA V-enabled integrated sensing and communication in maritime emergency networks,

Reference 16

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Observation 71784462-57b4-4b8c-ad85-874109a26010 · outbound

This paper cites Multiuser maritime integrated sensing and communication shipboard base station deployment optimization,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Multiuser maritime integrated sensing and communication shipboard base station deployment optimization,

Reference 17

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Source-reported events for the cited work

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Observation 3e275cca-332a-4f4d-9eff-ea8423d14a41 · outbound

This paper cites Intelligent reflecting surface enhanced maritime joint sensing and communication systems: Performance opti- mization,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Intelligent reflecting surface enhanced maritime joint sensing and communication systems: Performance opti- mization,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7f7a6da5-77dc-47b3-9843-63b3b0dd6cbd · outbound

This paper cites Energy harvesting UA V-RIS-assisted maritime communications based on deep reinforcement learning against jamming,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Energy harvesting UA V-RIS-assisted maritime communications based on deep reinforcement learning against jamming,

Reference 19

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Source-reported events for the cited work

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Observation 497a32dd-6e23-4c2a-8ebd-8a6323c1894a · outbound

This paper cites Cooperative data collection for UA V-assisted maritime IoT based on deep reinforce- ment learning,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Cooperative data collection for UA V-assisted maritime IoT based on deep reinforce- ment learning,

Reference 20

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Observation bb8e6519-a868-42e2-bf6e-2b22d295e4b1 · outbound

This paper cites Integrated sensing and communi- cations for UA V assisted internet of things based on deep reinforcement learning,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Integrated sensing and communi- cations for UA V assisted internet of things based on deep reinforcement learning,

Reference 21

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Observation c2ad6b67-0155-4954-b032-14c27988a7d6 · outbound

This paper cites Multi-objective ISAC for low- altitude economy based on multi-task deep reinforcement learning with mixture of experts,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Multi-objective ISAC for low- altitude economy based on multi-task deep reinforcement learning with mixture of experts,

Reference 22

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Observation 91727441-6967-49a9-a481-b00f81a0eba8 · outbound

This paper cites Multi- domain resource management for space–air–ground integrated sensing, communication, and computation networks,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Multi- domain resource management for space–air–ground integrated sensing, communication, and computation networks,

Reference 23

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Observation d230ea19-3951-4bf9-b1e1-62187a28a636 · outbound

This paper cites MADQN-enhanced computation offloading and resource allocation for 6G low-altitude economy vehicular networks,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection MADQN-enhanced computation offloading and resource allocation for 6G low-altitude economy vehicular networks,

Reference 24

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Observation 50398675-c8a6-4335-8402-b85a063f32f7 · outbound

This paper cites Graph neural networks for wireless communications: From theory to practice,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Graph neural networks for wireless communications: From theory to practice,

Reference 25

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Observation 62a1600c-95df-43b6-a8e2-b60244e43bd0 · outbound

This paper cites Graph neural network meets multi-agent reinforcement learning: Fundamentals, applications, and future directions,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Graph neural network meets multi-agent reinforcement learning: Fundamentals, applications, and future directions,

Reference 26

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Source-reported events for the cited work

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Observation 1f371d27-3cfa-463e-af04-b50db9e87895 · outbound

This paper cites Mobile cell- free massive MIMO with multi-agent reinforcement learning: A scalable framework,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Mobile cell- free massive MIMO with multi-agent reinforcement learning: A scalable framework,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 98aa3eb4-7502-406f-b13c-f45fe56fb56b · outbound

This paper cites Cooperative trajectory design of multiple UA V base stations with heterogeneous graph neural networks,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Cooperative trajectory design of multiple UA V base stations with heterogeneous graph neural networks,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2754223b-4c05-47c0-bed8-3a6683d0cf18 · outbound

This paper cites Heterogeneous graph neural network for beamforming design in cell-free massive MIMO with underlaid D2D maritime systems,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Heterogeneous graph neural network for beamforming design in cell-free massive MIMO with underlaid D2D maritime systems,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 41d25b30-03d0-4bf8-9ba8-80627ae94746 · outbound

This paper cites Multi-UA V collaborative ISAC with dynamic resource allocation: A hierarchical graph multi-agent reinforcement learning approach,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Multi-UA V collaborative ISAC with dynamic resource allocation: A hierarchical graph multi-agent reinforcement learning approach,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 420b36ac-bf7e-499a-b0b7-a0b861a38ca0 · outbound

This paper cites an unresolved cited work.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Unresolved cited work

Reference 31

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0bf789cd-c8db-43d5-a6d3-9d448ab61a70 · outbound

This paper cites Wave modelling - the state of the art,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Wave modelling - the state of the art,

Reference 32

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raw_fallback, observed 2026-07-06T10:02:15.473198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T00:50:38.051501Z digest=sha256:b43f4487d4bd5acfdee2df1b57eabbc43f89afe70c7daad3fa6a273e7466eed3

Observation f412cd6f-aa0d-4292-ace2-58725f45ceb4 · outbound

This paper cites Advection schemes for unstructured grid ocean modelling,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Advection schemes for unstructured grid ocean modelling,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T10:02:15.443393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T00:50:38.051501Z digest=sha256:3983da96f8d168e953c0e6b676d4916b7df83f5fc006f544b3cd5cf4026a6bc5

Observation 28275296-0bec-48f2-9280-72f4c4d0d03d · outbound

This paper cites Estimating optimal tracking filter performance for manned maneuvering targets,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Estimating optimal tracking filter performance for manned maneuvering targets,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T10:02:15.440634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T00:50:38.051501Z digest=sha256:aa249c27a92693d509215be79c55e39137360bcb5c1d4a0b08c27653dbbfcfad

Observation 3db4b04a-b803-4541-bcd3-977e76b108e8 · outbound

This paper cites Radar Cross Section (RCS) Modeling and Simulation, Part 1: A Tutorial Review of Definitions, Strategies, and Canonical Examples,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Radar Cross Section (RCS) Modeling and Simulation, Part 1: A Tutorial Review of Definitions, Strategies, and Canonical Examples,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T10:02:15.444633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T00:50:38.051501Z digest=sha256:6f2893ca25d29673848bb336bf5a1793e6e2585398e649f765ec45e27200086d

Observation 600747d2-c4ab-43be-9b95-4c8265cb2fd6 · outbound

This paper cites Integrated Sensing And Communications (ISAC); Channel Modelling, Measurements and Evaluation Methodology,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Integrated Sensing And Communications (ISAC); Channel Modelling, Measurements and Evaluation Methodology,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T10:02:15.439830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T00:50:38.051501Z digest=sha256:abed21168d9ce93666089c97bf88e30446d1e8e13b8a148ba9a013d848ef8862

Observation 203449b8-e3e3-493b-aa3e-aeca303d9d4e · outbound

This paper cites Discussion on ISAC Channel Modeling,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Discussion on ISAC Channel Modeling,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T10:02:15.441582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T00:50:38.051501Z digest=sha256:f7c7fea188db0058f34e0382b0e28b3687be27e938cbfc053588af45dd4ed41b

Observation 4709ca55-68cd-4a32-bf86-4717ad5a311a · outbound

This paper cites An improved empirical model for radar sea clutter reflectivity,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection An improved empirical model for radar sea clutter reflectivity,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T10:02:15.455737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T00:50:38.051501Z digest=sha256:1354937acd31202eaea8bdc4dd52d9940aff28ce75ce1f6b09ee83d4b32d8631

Observation 18392193-42da-4fc1-976e-79a6c6e70ec0 · outbound

This paper cites Energy model for UA V communications: Experimental validation and model generalization,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Energy model for UA V communications: Experimental validation and model generalization,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T10:02:15.475531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T00:50:38.051501Z digest=sha256:866d2804eee09a8989768b107da5fe07a4110d2de78fa95351421ebad807ae35

Observation adf1dc78-c1e1-4c31-8bca-4aa6c7d03b5b · outbound

This paper cites Energy efficiency maximization for full-duplex UA V secrecy communication,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Energy efficiency maximization for full-duplex UA V secrecy communication,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T10:02:15.486326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T00:50:38.051501Z digest=sha256:734b4a26fdce6e9633e1b6e08c7f6989cd823a78cd09e565763e89bae7a382ae

Observation 8d2a2061-0bf7-41bb-bbb8-56bf15d94f36 · outbound

This paper cites Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks,.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T10:02:15.500159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T00:50:38.051501Z digest=sha256:11c129ccdfb41d70901d99314fe5a1f5d7d5aecb9ff9a5f88adff8874077c72a

Observation 70cf7c65-2599-4d9b-a687-6807fb09ebfb · outbound

This paper cites an unresolved cited work.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-07-06T10:02:15.502076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T00:50:38.051501Z digest=sha256:4b64eb764262b447c0ff75d6e62287949fce1952063433f16299917fb66a0952

Observation ebb04688-dcff-409f-b8ed-2b4436caf1e0 · outbound

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

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection The surprising effectiveness of PPO in cooperative multi-agent games,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T10:02:15.497325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T00:50:38.051501Z digest=sha256:fd029a50656bda53fa76544b86a462fc38732b8b6593e3e72721173dcae54bcb

Observation cfec2997-ff53-495a-abba-cdb0ea09d976 · outbound

This paper cites Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?.

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T00:56:24.158913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T00:50:38.051501Z digest=sha256:25812957078df6f4661e4e248080ea6378641c997ac0c6ea3f93e4e226fd9cb6

Pith citing papers

No inbound Pith citation observations are available.