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Paper Citation Record · LEDGER

Quantum Machine Learning for UAV Swarm Intrusion Detection

As of 16 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

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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  • verified fuzzy32
  • unresolved5
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  • malformed identifier0
  • metadata mismatch0

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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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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

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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

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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

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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

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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

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source=pdf_text observed=2026-08-05T12:12:05.039791Z digest=sha256:cd2bd9f993a49b92c6bc62d6dd87f1140362cd110628097fdacb93bea6ec0bce

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

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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

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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

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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

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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

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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

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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

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source=pdf_text observed=2026-08-05T12:12:05.810413Z digest=sha256:c86c67da82f918cd6865c2805bf4078b0e20793be8b2d7bdee15d436b112a288

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

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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

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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

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source=pdf_text observed=2026-08-05T12:12:06.131474Z digest=sha256:ba03eca4daf024b23a122480bbae8cd479c72073ae854f3e8c48956398a0607e

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T12:12:06.272677Z digest=sha256:c424239922e1f222e081078dcf215a0cb8c691975a87a3dd99fe69ca835bffeb

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

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source=pdf_text observed=2026-08-05T12:12:06.361914Z digest=sha256:7d01f5322edd3029b269656bfcc9446d41e7dd53f97d324d84bd0f8b512e5833

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

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source=pdf_text observed=2026-08-05T12:12:06.475510Z digest=sha256:9c634f311e9cce289411694848bc00ee6165993704f71a849f89e534ea065353

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T12:12:06.601386Z digest=sha256:af410c3419198a5a549dd79f2c92c8fb67bff45c4d95c375e2f2995c6c343caf

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T12:12:06.728084Z digest=sha256:84794ab7ba5bc2d5c1406b0ec9fc0fb8dc3005800e7625e1cddb220625b359c7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T12:12:06.843316Z digest=sha256:26284e8c94bcebc78f02e7572b29fc1dd186dfd0ad974abc6832bc435b939588

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T12:12:07.034392Z digest=sha256:1d8b1f9584012d5dbf3d46ed07158fee1b4756498ce81bd3660da3547619c937

Pith citing papers

No inbound Pith citation observations are available.