Paper Citation Record · LEDGER

Quantum Machine Learning for UAV Swarm Intrusion Detection

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2509.01812.

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

pith.paper-citation-record.v1
2509.01812 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:12:07.034392Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

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

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Reference resolution

38 of 38 outbound references displayed

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verified fuzzy32
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External citation measurements

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Outbound references

Observation be24634c-1fd3-42f6-ac14-e54929e6b1e7 · outbound

This paper cites Uav swarm commu- nication and control architectures: a review,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Uav swarm commu- nication and control architectures: a review,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T12:12:03.092414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84c7befd-782d-4812-b0fb-6aa175264d59 · outbound

This paper cites Wireless communications and control for swarms of cellular- connected uavs,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Wireless communications and control for swarms of cellular- connected uavs,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:14.410922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b1582d9a-e7ca-4b06-aa7c-9744adfc7fee · outbound

This paper cites Review of unmanned aerial vehicle swarm communication architectures and routing protocols,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Review of unmanned aerial vehicle swarm communication architectures and routing protocols,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:14.238720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 00fa46e0-8c8c-4948-a4ae-f097075c7e81 · outbound

This paper cites Swarmcontrol: An automated dis- tributed control framework for self-optimizing drone networks,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Swarmcontrol: An automated dis- tributed control framework for self-optimizing drone networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:14.073283Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 078d52f7-fea3-47e2-89a2-3f62c5bddb92 · outbound

This paper cites Survey on uav cellular communications: Prac- tical aspects, standardization advancements, regulation, and security challenges,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Survey on uav cellular communications: Prac- tical aspects, standardization advancements, regulation, and security challenges,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:13.930374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e47181e0-4cd1-4c72-a51e-093807f9e90f · outbound

This paper cites Uav-enabled intelligent transportation systems for the smart city: Applications and challenges,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Uav-enabled intelligent transportation systems for the smart city: Applications and challenges,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:13.786974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4489628e-cf58-454e-b88c-0e436a9555ab · outbound

This paper cites Flying ad-hoc networks (fanets): A survey,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Flying ad-hoc networks (fanets): A survey,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T12:12:03.721066Z

Source-reported events for the cited work

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Observation a4b34c18-2062-4a15-8ac9-0de88cc473e9 · outbound

This paper cites Micro aerial vehicle networks: An exper- imental analysis of challenges and opportunities,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Micro aerial vehicle networks: An exper- imental analysis of challenges and opportunities,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:13.615298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e829b7b9-51fd-4adf-aca9-a1f3fcdd0b52 · outbound

This paper cites Low-altitude unmanned aerial vehicles-based internet of things services: Comprehensive survey and future perspectives,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Low-altitude unmanned aerial vehicles-based internet of things services: Comprehensive survey and future perspectives,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:13.358043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ba014b89-7da4-4954-a0c1-6c129ad90b79 · outbound

This paper cites Intrusion detection systems for networked unmanned aerial vehicles: A survey,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Intrusion detection systems for networked unmanned aerial vehicles: A survey,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:13.168867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d347062e-dac8-4a86-8d54-dadac47a00d3 · outbound

This paper cites A survey on security of uav swarm networks: attacks and countermea- sures,.

Quantum Machine Learning for UAV Swarm Intrusion Detection A survey on security of uav swarm networks: attacks and countermea- sures,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:12.978448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 58911195-238c-45fa-99a2-3703566ff4a7 · outbound

This paper cites Towards secure wireless mesh networks for uav swarm connectivity: Current threats, research, and opportunities,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Towards secure wireless mesh networks for uav swarm connectivity: Current threats, research, and opportunities,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:12.772322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fb1b7f9e-ec2f-4e0d-acc8-1a9af36c5dc7 · outbound

This paper cites A flow-based intrusion detection framework for internet of things networks,.

Quantum Machine Learning for UAV Swarm Intrusion Detection A flow-based intrusion detection framework for internet of things networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:12.602376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 21acffe6-160a-4e2e-893d-1c8d05ef184d · outbound

This paper cites Federated learning for uav swarms under class imbalance and power consumption constraints,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Federated learning for uav swarms under class imbalance and power consumption constraints,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:12.393299Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 517edce6-d371-4829-8e70-53542c5473d7 · outbound

This paper cites Challenges and opportunities in quantum optimization,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Challenges and opportunities in quantum optimization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:12.133805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d343592d-7e7b-4045-a188-db8a30889e4c · outbound

This paper cites Practical quantum advantage in quantum simulation,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Practical quantum advantage in quantum simulation,

Reference 16

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Source-reported events for the cited work

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Observation 1d077c17-9e1e-4b99-8f9e-5849886298e1 · outbound

This paper cites Challenges and opportunities in quantum machine learning,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Challenges and opportunities in quantum machine learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:11.815817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d141d985-5648-4c14-af8b-94517beef95c · outbound

This paper cites Exploring chemical space with chemistry-inspired dynamic quantum circuits in the nisq era,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Exploring chemical space with chemistry-inspired dynamic quantum circuits in the nisq era,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:11.550928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c3fd70b9-2f02-4c74-8065-26e33236a444 · outbound

This paper cites Resource-efficient compilation of distributed quantum circuits for solving large-scale wireless communication network problems,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Resource-efficient compilation of distributed quantum circuits for solving large-scale wireless communication network problems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:11.238744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2b42df19-a037-4202-b70e-1bb6a2ebb8b1 · outbound

This paper cites Quantum-enhanced support vector machine for large-scale multi- class stellar classification,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Quantum-enhanced support vector machine for large-scale multi- class stellar classification,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:10.918751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 01cb7a46-d89f-4468-a320-7056d0f95f8a · outbound

This paper cites Variational quantum circuits for deep reinforcement learning,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Variational quantum circuits for deep reinforcement learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:10.591996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f6cc7c3a-1a00-42d4-9c50-0bc6ec567e77 · outbound

This paper cites Quantum long short-term memory,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Quantum long short-term memory,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:10.245121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a116172-51c9-49bd-a460-93bf4e7f3849 · outbound

This paper cites Federated quantum machine learning,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Federated quantum machine learning,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T12:12:05.207744Z

Source-reported events for the cited work

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Observation c0ce2d06-f045-4c6d-a032-7a3b29cfa76e · outbound

This paper cites Compressedmediq: Hybrid quantum machine learning pipeline for high-dimensional neuroimaging data,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Compressedmediq: Hybrid quantum machine learning pipeline for high-dimensional neuroimaging data,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:09.981237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ce85caea-3bd2-49f5-9a31-40d77344d5f8 · outbound

This paper cites Consensus-based distributed quantum kernel learning for speech recognition,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Consensus-based distributed quantum kernel learning for speech recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:09.600494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1047d584-10fd-4cb3-8190-85e647ca1fa5 · outbound

This paper cites Quantum- classical-quantum workflow in quantum-hpc middleware with gpu acceleration,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Quantum- classical-quantum workflow in quantum-hpc middleware with gpu acceleration,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:09.309919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 37d1d23b-398d-4298-8b01-ae07a193a234 · outbound

This paper cites Validating large-scale quantum machine learning: Efficient simulation of quantum support vector machines using tensor networks,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Validating large-scale quantum machine learning: Efficient simulation of quantum support vector machines using tensor networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:09.072037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8d2f1065-e2b8-458a-81ba-c5757d846e1f · outbound

This paper cites Towards provably efficient quantum algorithms for large- scale machine-learning models,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Towards provably efficient quantum algorithms for large- scale machine-learning models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:08.744840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c0ec12de-cc92-4e50-ae23-cd9f735d75a5 · outbound

This paper cites Robust Decentralized Quantum Kernel Learning for Noisy and Adversarial Environment.

Quantum Machine Learning for UAV Swarm Intrusion Detection Robust Decentralized Quantum Kernel Learning for Noisy and Adversarial Environment

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:12:07.295719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ecab0663-b3fb-474b-8552-d03b0c595405 · outbound

This paper cites Noise- aware detectable byzantine agreement for consensus-based distributed quantum computing,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Noise- aware detectable byzantine agreement for consensus-based distributed quantum computing,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:08.593488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a0c5958a-fed7-45a8-ba44-e38c3bee23b4 · outbound

This paper cites Quantum kernel-based long short-term memory,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Quantum kernel-based long short-term memory,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:08.417072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 06df729c-3a6e-4231-858b-9e92b4f7fbf8 · outbound

This paper cites The power of quantum neural networks,.

Quantum Machine Learning for UAV Swarm Intrusion Detection The power of quantum neural networks,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T12:12:06.272677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26d6fac0-da57-4ee7-8306-217cc2330638 · outbound

This paper cites Shedding light on the future: Exploring quantum neural networks through optics,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Shedding light on the future: Exploring quantum neural networks through optics,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:08.249925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dbc0e5c9-fc5f-44dd-b36b-0d1881c28dbf · outbound

This paper cites Quantum-train: Rethinking hybrid quantum- classical machine learning in the model compression perspective,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Quantum-train: Rethinking hybrid quantum- classical machine learning in the model compression perspective,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:08.071619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b03467c4-c425-4470-a276-a8d38214fe4d · outbound

This paper cites Quantum-train with tensor network mapping model and distributed circuit ansatz,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Quantum-train with tensor network mapping model and distributed circuit ansatz,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:07.931173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31c69f65-769a-4cb5-bb21-195c6e0daefa · outbound

This paper cites Programming variational quantum circuits with quantum-train agent,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Programming variational quantum circuits with quantum-train agent,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:07.781487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d35a4640-6b27-4ff7-8e47-94ecd0075304 · outbound

This paper cites Quantum- train-based distributed multi-agent reinforcement learning,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Quantum- train-based distributed multi-agent reinforcement learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:07.633734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5b6b6a0d-34c6-4824-baa9-4b580ba0d751 · outbound

This paper cites Uavids-2025: A bench- mark dataset for intrusion detection in uav networks using machine learning techniques,.

Quantum Machine Learning for UAV Swarm Intrusion Detection Uavids-2025: A bench- mark dataset for intrusion detection in uav networks using machine learning techniques,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:12:07.486825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.