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Paper Citation Record · LEDGER

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2605.28879.

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

pith.paper-citation-record.v1
2605.28879 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T17:05:05.681726Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

36 of 36 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 47d07dca-0bd1-43dc-81ea-4e9a46641484 · outbound

This paper cites Survey of intrusion detection systems: techniques, datasets and challenges,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Survey of intrusion detection systems: techniques, datasets and challenges,

Reference 1

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:abe201020239b05a94bde6b9e9c238073983bf89cfc92955990041b3ecc371ad

Observation b7889c0c-4cfe-457c-8c98-6770e634b06b · outbound

This paper cites Sometimes simpler is better: A comprehensive analysis of {State-of-the-Art}{Provenance-Based} intrusion detection systems,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Sometimes simpler is better: A comprehensive analysis of {State-of-the-Art}{Provenance-Based} intrusion detection systems,

Reference 2

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:67e60ed4899057e65bf79c6963239d89664b717fcdcca76b681ad773ca52f767

Observation 268f012d-d19a-4093-807e-87d36951f067 · outbound

This paper cites Meta-learner-based approach for detecting attacks on internet of things networks,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Meta-learner-based approach for detecting attacks on internet of things networks,

Reference 3

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Observation 6ea24797-3564-4f82-9fc9-efd8d81eed65 · outbound

This paper cites Deep Neural Networks based Meta-Learning for Network Intrusion Detection.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Deep Neural Networks based Meta-Learning for Network Intrusion Detection

Reference 4

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arxiv_id, observed 2026-06-29T17:13:44.928109Z

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Observation 1ab86828-941d-47de-950a-c0cc1e7a516c · outbound

This paper cites Supervised quantum machine learning models are kernel methods.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Supervised quantum machine learning models are kernel methods

Reference 5

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arxiv_id, observed 2026-06-29T17:13:44.920111Z

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:05995c157277c1c97532960d3480a7b37ed271eabc1affde1e225598d6bf8d3f

Observation f10a5ef3-4b5b-4d8f-b100-3c01077e4b12 · outbound

This paper cites Quantum machine learning,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Quantum machine learning,

Reference 6

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:8ea4304e3f58038c9cd87300aa4a0c7092eb7145e4b8bba4d41c67c78323bdd6

Observation aa7b6249-e27b-49af-aa9d-506626178828 · outbound

This paper cites Quantum support vector machine for big data classification,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Quantum support vector machine for big data classification,

Reference 7

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:b85960024985d4ece5e6c665a4d2ed866e5305a167d1980829b2c6320d6c11f2

Observation 94eac21a-9fca-420d-b28d-8a6dbc3683ad · outbound

This paper cites Enhancing quantum support vector machines through variational kernel training,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Enhancing quantum support vector machines through variational kernel training,

Reference 8

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:0f97143f4cba70b58929d94ee5153b09690a3fe717d4c05a67def742c85aa549

Observation 3f69977a-8e03-4e3a-89ff-1e527337255b · outbound

This paper cites The quest for a quantum neural network,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection The quest for a quantum neural network,

Reference 9

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:11971852544e5d42f0200194fbec749b9f735d16c907f278f01adfe24d291008

Observation 6aee4ef3-b4a1-4d5b-80eb-7efb4140a7a8 · outbound

This paper cites Next- generation quantum neural networks: Enhancing efficiency, security, and privacy,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Next- generation quantum neural networks: Enhancing efficiency, security, and privacy,

Reference 10

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:db8c8af73352999bd4eb141bdb48c26720e06fe7a27e0414a41d1bb9597f980a

Observation d2288f90-02ec-438a-a231-ae65e2da5bf6 · outbound

This paper cites Theory of overparametrization in quantum neural networks,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Theory of overparametrization in quantum neural networks,

Reference 11

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:3e3956308ec1d6eec47742db3012b28b7460ed65c2df6200b52c2fb7d82578b8

Observation b35452a6-714c-40ab-bd73-6b37a8843511 · outbound

This paper cites Effects of noise on the overparametrization of quantum neural networks,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Effects of noise on the overparametrization of quantum neural networks,

Reference 12

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:81d629ddc81cf9bc9d00de7e95f85882b08fc473cba77aabf35a0ac60bd3e504

Observation 9d4412de-7fd4-4bc2-9dc6-1a35049e26c1 · outbound

This paper cites Robustness Evaluation of Hybrid Quantum Neural Networks under Noise Models via System-Level Error Mitigation.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Robustness Evaluation of Hybrid Quantum Neural Networks under Noise Models via System-Level Error Mitigation

Reference 13

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local_arxiv, observed 2026-06-29T17:13:44.917374Z

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:619cd6dcb6d138f0d18208596addcfd5f3ab5c4a0c7a24147e5709dbbe5fb330

Observation 514cdbcf-ce75-4fb2-a23d-1f6b8b6d17ec · outbound

This paper cites Scaling Laws for Hybrid Quantum Neural Networks: Depth, Width, and Quantum-Centric Diagnostics.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Scaling Laws for Hybrid Quantum Neural Networks: Depth, Width, and Quantum-Centric Diagnostics

Reference 14

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local_arxiv, observed 2026-06-29T17:13:44.926704Z

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:b2941115e4122237aad3a4c6f30a1fd7769119fdcb92ac1867e6526562cc67ba

Observation e34b4ee2-885e-437b-bc6e-3b744241cebf · outbound

This paper cites Development of hybrid intrusion detection system leveraging ensemble stacked feature selectors and learning classifiers to mitigate the dos attacks,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Development of hybrid intrusion detection system leveraging ensemble stacked feature selectors and learning classifiers to mitigate the dos attacks,

Reference 15

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:f15e715eaf1f08dc9e52cce1088ae0881e2c27e37818d4e3e95ba78fa293bf34

Observation 59fc5e09-e94a-4d84-a80a-d9611e6df284 · outbound

This paper cites Dsem- nids: Enhanced network intrusion detection system using deep stacking ensemble model,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Dsem- nids: Enhanced network intrusion detection system using deep stacking ensemble model,

Reference 16

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:820cf90c0a4623741dc06f06211d98aa49d5868d242d9757e32494e751788241

Observation 3f16ab11-e948-4c09-ad2d-6ee460bad179 · outbound

This paper cites Leveraging stacking machine learning models and optimization for improved cyberattack detection,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Leveraging stacking machine learning models and optimization for improved cyberattack detection,

Reference 17

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:98d8de674d17c6d7843159546680dc1df9d9df74ee280470d0d65fb32feda61a

Observation fb785461-237f-4c85-b117-e8ab70d02671 · outbound

This paper cites Network attack traffic detection with hybrid quantum-enhanced convolution neural network,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Network attack traffic detection with hybrid quantum-enhanced convolution neural network,

Reference 18

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:7f2b0c2d21b7d0ba65cd7b2d4ba1ca41939f3246b57dd94fa4bb2bd0e29195bb

Observation d7857da5-e046-4981-abcb-07317028c310 · outbound

This paper cites Quantum- netsec: Quantum machine learning for network security,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Quantum- netsec: Quantum machine learning for network security,

Reference 19

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:d238fe64b7fa486d801a2e35654dfcbfc55b55db9b8b6a6d0a69225f8ee8f803

Observation b0fe02c7-265d-49a6-a94f-e347d5caaf83 · outbound

This paper cites Quids: A quantum support vector machine- based intrusion detection system for iot networks,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Quids: A quantum support vector machine- based intrusion detection system for iot networks,

Reference 20

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:7a1cbe4430e358bdcffef9b5af5ceff199a81bf41467019109cc0999452c6b96

Observation 2a8b51e0-8521-467b-a336-be3eb8d93d9d · outbound

This paper cites Quantum deep learning-based anomaly detection for enhanced network security,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Quantum deep learning-based anomaly detection for enhanced network security,

Reference 21

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:1f679af57c30d95270bf1cffb2d86506189db8c41607bed6091d729828580357

Observation 4f750b80-c879-4b10-a5de-23af60c8cd28 · outbound

This paper cites Qcshield: A quantum-classical hybrid framework for intrusion detection in edge-iiot,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Qcshield: A quantum-classical hybrid framework for intrusion detection in edge-iiot,

Reference 22

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:16cc45323549398d177038fd278561fa801c94139ba68521f2e54612d52111fd

Observation e9547cb0-7c9a-42e4-8c4f-00d97ff37f7f · outbound

This paper cites Towards adapting federated & quantum machine learning for network intrusion detection: A survey,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Towards adapting federated & quantum machine learning for network intrusion detection: A survey,

Reference 23

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arxiv_id, observed 2026-06-29T17:13:44.925573Z

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:55ff1626ab7477c396263ba1b8ec7dee47b9bba3db70f9a59dea2990e3eac253

Observation accf0dae-1bbf-487c-81f6-dfd2094d3707 · outbound

This paper cites Quantum multi-agent meta reinforce- ment learning,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Quantum multi-agent meta reinforce- ment learning,

Reference 24

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:e0b3b742ee21fe63b9d0467ee86925ffabd31e3e53e3ea245c7164f7c87497c9

Observation 95c4ae08-ec68-4ad6-a18a-150cb9efd2b7 · outbound

This paper cites Q-maml: Quantum model-agnostic meta- learning for variational quantum algorithms,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Q-maml: Quantum model-agnostic meta- learning for variational quantum algorithms,

Reference 25

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:10202e7e70d598780eebec71a22d5d157a7c2aba03ac43a534a9e0c72330f24e

Observation 71fc3c57-1584-400f-b469-43e217cf7ef2 · outbound

This paper cites Cicids 2017 dataset,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Cicids 2017 dataset,

Reference 26

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:d4c39cfa2e516067a8433428c0562e4e29788fd67f0b3824f4ac76ec8f6373ee

Observation 2770b825-0338-47d5-86ed-177085ee183b · outbound

This paper cites Ton iot network dataset,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Ton iot network dataset,

Reference 27

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:46b4dea66c5a66af5b40b09da2a46f45ef0831e8887898eeed09bd0bc73a8357

Observation b88be6c4-7a31-4610-bd7e-fc5f4326108f · outbound

This paper cites Random forests,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Random forests,

Reference 28

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:2777258ce167aa9329745c432d6dd592425bd0e7bfbbff08ff8fb822cf3cbc05

Observation fd0740f6-e36e-4209-9ffb-a8ccd4ee01f1 · outbound

This paper cites XGBoost: A scalable tree boosting system,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection XGBoost: A scalable tree boosting system,

Reference 29

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:7ec7d571a4f0af57dbe5ca7e03d6d50b033b2e7fb515cacb80ff455c6784524b

Observation 6e8aba6f-d5fb-4f57-98ca-f44ba5cfadc7 · outbound

This paper cites Scikit-learn: Machine learning in Python,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Scikit-learn: Machine learning in Python,

Reference 30

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:ff8e802de5cf371bf6b6444f07fa2c26b0b4046479bd0ac3f937a7a241fd2b18

Observation 133ebfaa-0e3b-4e93-989b-2be88fe04261 · outbound

This paper cites Data re-uploading for a universal quantum classifier,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Data re-uploading for a universal quantum classifier,

Reference 31

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:e9c455e23c81b8ec1b4c4c9e918f973a36a09ac49b20da996df37c2f514c3e34

Observation 1d5d926c-4f74-4472-a42e-5c723b5c11a1 · outbound

This paper cites Supervised learning with quantum-enhanced feature spaces,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Supervised learning with quantum-enhanced feature spaces,

Reference 32

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:ff1b573fc5d974272025ea3051260fecb0041a1c55e5fb8faca42f73e56a0db8

Observation d18860fe-a983-4c21-9522-55ce56a7ce13 · outbound

This paper cites A quantum k-nearest neigh- bors algorithm based on the euclidean distance estimation,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection A quantum k-nearest neigh- bors algorithm based on the euclidean distance estimation,

Reference 33

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:2f0d7037571cc5293ad4f2eadc94015bef2c7a09661b2df02fd10bca2bc199d8

Observation 08b20452-221e-4276-b46d-52ff35b5b959 · outbound

This paper cites A novel intrusion detection system based on a hybrid quantum support vector machine and improved grey wolf optimizer,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection A novel intrusion detection system based on a hybrid quantum support vector machine and improved grey wolf optimizer,

Reference 34

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:141b935f6b3d553aed37087adb57b97f542ae6e330f8425002f75dea8d6fcecd

Observation 7d5191c0-3c3e-4fa1-be6b-f99684666e55 · outbound

This paper cites Quantum computing and machine learning for cybersecurity: Distributed denial of service (ddos) attack detection on smart micro-grid,.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Quantum computing and machine learning for cybersecurity: Distributed denial of service (ddos) attack detection on smart micro-grid,

Reference 35

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source=pdf_text observed=2026-06-29T17:05:05.681726Z digest=sha256:a74caab5d920f27959c845e8b687f3fe6205d3a3476696e35b507b2f9993387b

Observation 295eb4ab-dcbc-44be-89fc-e7c788ceb594 · outbound

This paper cites Intrusion detection system based on quantum generative adversarial network.

Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection Intrusion detection system based on quantum generative adversarial network

Reference 36

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Pith citing papers

No inbound Pith citation observations are available.