Pith. sign in

Paper Citation Record · LEDGER

Quantum Machine Learning for UAV Swarm Intrusion Detection

As of 9 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 2026-08-09T06:31:02.800959+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

38 of 38 outbound references displayed

  • verified exact1
  • verified fuzzy32
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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.

source=pdf_text observed=2026-08-05T12:12:03.092414Z digest=sha256:d9721fea3df23b2d865e7050ed79549f1fa67c53c81b880ae81eb3efe55c15a4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:03.174834Z digest=sha256:1ecc1a6c6ad1ffd0fb2ab82333efe08daf393fdbd225e317d78aa5842c67c857

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:03.287157Z digest=sha256:74a255785a8f28cab4ce37a36616867255d431b221d4dfdbe3a6f503f0c82d8b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:03.401311Z digest=sha256:65d6cb15db537a5704ac4388e65d633d1ca8aaec9106ae019c88a76e0526767f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:03.514403Z digest=sha256:ac59f5ae18e120037a56796ba222633dab9a4c1ffc6e862db1b708c954fcdfee

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:03.616685Z digest=sha256:e30a309c3c2b4a93852e8bf3b6ed566cd63f7d42f790e4d0864aa43eb66e92ae

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:12:03.721066Z digest=sha256:f5390a08b76cc5ab2e2fd0310fbb1a7debdc0e25b112617a51c7cb5ae4ed706a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:03.838187Z digest=sha256:3169b385665e40b0e028a59ea41e6bb48e3bda8b0139f62cde2a84220fa50c67

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:03.946969Z digest=sha256:7e3aa6b85ac6810388f5043586fa3c7e85869e1056b0ac642aba4b8e90642947

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:04.034797Z digest=sha256:449afbac86f5a7f9823984e20c70da8e135f5c3294ec08a6da69b9a7c4521187

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:04.117416Z digest=sha256:287068c19ab74ddf72ce2d8ae4fcebafa559019d3f27c37cbd9790862005ca54

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:04.217138Z digest=sha256:ee4cdd8987f88d7555b02fe0da20db9a07ea6cecc8096d0e346ab321a4bd31ac

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:04.291293Z digest=sha256:c951f9ccc685c1fc5b2af7046487c1708c963f5398d34c5ce0325ca641a19bac

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:04.391006Z digest=sha256:726f93c443661820d68d156e3a34daaa8f2c36cf80cb6f5935bfa7435a42fdf2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:04.499848Z digest=sha256:a7980fd7f552703cab58009823ef2da030875cb8c9df17cbbcfc7cddb23b2ddd

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

Resolution
unresolved
no resolver link, observed 2026-08-05T12:12:04.576904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:12:04.576904Z digest=sha256:db7c29392f12cc9bceab80772144835fc1b470cc1ce611a17c8229598dc42a9a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:04.622532Z digest=sha256:a15d76c07a8f9e3c504574e917ac3efaa4a16e651798f48df99cc5efc8c3dea9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:04.662497Z digest=sha256:ef2bfe602d684da41546715af67676e493e9789bd61fcdba994dbe5358354777

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:04.835766Z digest=sha256:38f70d8c81f03fb6561b198db5d6d42afa526320d5b59c7c153f71de85667fe5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:04.941058Z digest=sha256:8507d318cc2327fe9f73368aa066757af3c90756ccc584187f1ea29d0746192f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:05.039791Z digest=sha256:f2bf7c0b3406d17c0c8e14eb501e2f7da50a62d28cdfac76abf3a8f84183381c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:05.118476Z digest=sha256:42c0d2cf7f8795a47e49ea63e006b49ac9efb21de7060e4db09c75f6621bed5f

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:12:05.207744Z digest=sha256:0660a5d847cbf3d85d2004fcbf3a3d8a7fcbcf67c16c1a0b5eab972b051af472

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:05.360613Z digest=sha256:0b756bfc07638724f5e0ae06fbc6b8a58d445890a2c774250348efb03c49413f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:05.506142Z digest=sha256:df7ad02dda570b88dc43cc543d764af9753c901d6940bb562902a5913eb3a610

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:05.626742Z digest=sha256:a7ba1f73b778a9dd17376cfe3d2f57ba1b20f13c00c0e3cdf47985bd890534bb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:05.733117Z digest=sha256:fb7ade2af30c28b9119c18389a0aecb09a3434bfa0828bc4baa049d5d3cdbe3c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:05.810413Z digest=sha256:4f460a1e527dee08ff116d117c239757de4ed753922769039a7f4ae08719d8a1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:05.964299Z digest=sha256:5729a513ca27630b0af4d81def9dcfcfc95019367df9b7d4bedb80b9b556a8b9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:06.061229Z digest=sha256:5f0c9d00fb9f3b175aa56f3d1394203813ca199109f19930c08a19ddea02b707

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:06.131474Z digest=sha256:349aa842dcdf634304622318d046f723c4e02e27b2466560f4f133e8c5c68997

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.

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

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:06.361914Z digest=sha256:4c107adccd2f112d952dd5b494a598ac4a1c671f07e413ccf26da8c120c5cafa

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:06.475510Z digest=sha256:134692bdf54c6e23616905e0376bbd106038847d3ad303cda20490e3dd43d082

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:06.601386Z digest=sha256:382ad438e9d8ffa1f1c90c5bf5ae89fcf9e4dd4312139da938b8b0f8cf213012

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:06.728084Z digest=sha256:576e1433e883ccae8b49c2e98241dd0c24c4e428b1accc5b0f9c5861b81aadbd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:06.843316Z digest=sha256:346e95c7e6a7ec4eb2cb403a3e3a13dff7f2880cab70bc744d24ea4ef46a35b8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:12:07.034392Z digest=sha256:48ae1b7bff5cafe1360747191d19d7215e71bd790de4a18e6840d690ad5c6124

Pith citing papers

No inbound Pith citation observations are available.