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 2026-08-20T06:33:59.587034+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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

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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

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:13:44.928109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T17:13:44.920111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

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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

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:13:44.917374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:13:44.926704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

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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

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:13:44.925573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-06-29T17:05:05.681726Z

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Pith citing papers

No inbound Pith citation observations are available.