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Paper Citation Record · LEDGER

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation

As of 9 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.13897.

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

pith.paper-citation-record.v1
2607.13897 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:27:05.131993Z

measured 36 of 36 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

36 of 36 outbound references displayed

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  • unresolved36
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  • malformed identifier0
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External citation measurements

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Outbound references

Observation aa8bb146-39c3-4213-bafd-8d2e938bc286 · outbound

This paper cites Intelligent Jamming Strategies for Secure Spectrum Sharing Systems,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Intelligent Jamming Strategies for Secure Spectrum Sharing Systems,

Reference 1

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source=pdf_text observed=2026-08-02T03:27:04.997541Z digest=sha256:53757b27a42e404b4e7323f347f952b590283519af6519bcce8113a96017abf3

Observation 0a7b3950-08c2-4000-a176-c7c32a7bee92 · outbound

This paper cites A Survey on Wireless Security: Technical Challenges, Recent Advances, and Future Trends,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation A Survey on Wireless Security: Technical Challenges, Recent Advances, and Future Trends,

Reference 2

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source=pdf_text observed=2026-08-02T03:27:05.002429Z digest=sha256:bd59d7311de18a0e58d41b2758cad55433b8d6b22fae270d19e7d2c59b3dbd14

Observation 9271270d-7f91-42b1-90e0-26265470b42f · outbound

This paper cites RF Jamming Dataset: A Wireless Spectral Scan Approach for Malicious Interference Detection,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation RF Jamming Dataset: A Wireless Spectral Scan Approach for Malicious Interference Detection,

Reference 3

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source=pdf_text observed=2026-08-02T03:27:05.006399Z digest=sha256:c1ab433adc17bdcba9dc7d1345e1699a2ceeaf5cd3c92da185e28619a67c1c9d

Observation 75283e26-7612-4eeb-af70-51928b298faa · outbound

This paper cites LTE/LTE-A Jamming, Spoofing, and Sniffing: Threat Assessment and Mitigation,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation LTE/LTE-A Jamming, Spoofing, and Sniffing: Threat Assessment and Mitigation,

Reference 4

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source=pdf_text observed=2026-08-02T03:27:05.010533Z digest=sha256:1875edc52d980a563d883ccb39634de152a771a4d90342a49f4c92729d1630ab

Observation 4687f9ae-c30b-4212-a461-995f60fc1840 · outbound

This paper cites A Communications Jamming Taxonomy,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation A Communications Jamming Taxonomy,

Reference 5

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source=pdf_text observed=2026-08-02T03:27:05.014703Z digest=sha256:3b7ba23836c01f2467b20e9bc5c7bc70334e93ee909b12353ec8b12922341942

Observation bf7e4773-4827-4a0e-bf47-beb7799bedaf · outbound

This paper cites Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey,

Reference 6

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source=pdf_text observed=2026-08-02T03:27:05.018751Z digest=sha256:c36646109a5929cf42a8f25e88d0f853692bb1c67e8f75e8d4f8cb48e994e0a5

Observation a382de76-a77c-4cf4-adc9-7778e9f7f02b · outbound

This paper cites Dynamic Spectrum Anti-Jamming Communications: Challenges and Opportunities,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Dynamic Spectrum Anti-Jamming Communications: Challenges and Opportunities,

Reference 7

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source=pdf_text observed=2026-08-02T03:27:05.023317Z digest=sha256:c19aa5b423c44ef04928a17ccfb72f03b8bb825076d14ad8b13e630af652a351

Observation 77b1cf3e-a7d3-4025-97ec-d0875f0c2dc9 · outbound

This paper cites Anomaly Detection in Wireless Sensor Networks,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Anomaly Detection in Wireless Sensor Networks,

Reference 8

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source=pdf_text observed=2026-08-02T03:27:05.027195Z digest=sha256:d6a75985f9486f247d90f7d66cfac2d7d2316b44ddd05781dbdf143e90a613d8

Observation a796192d-afea-45a7-9267-dcf3432b0d0a · outbound

This paper cites A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications,

Reference 9

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source=pdf_text observed=2026-08-02T03:27:05.031045Z digest=sha256:26ff69ab51a1368202abab9efe3a87963a32a8b759b2b34397f9db1f736cb367

Observation 623aa938-0b96-4c21-8e8a-4a2a0b392bcf · outbound

This paper cites Digital Twin of the Radio Environment: A Novel Approach for Anomaly Detection in Wireless Networks,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Digital Twin of the Radio Environment: A Novel Approach for Anomaly Detection in Wireless Networks,

Reference 10

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source=pdf_text observed=2026-08-02T03:27:05.034790Z digest=sha256:4e817178e97fd5e29006ed01c1b78503c0a7f3e3a4b27b88e27fd59e816a3c4c

Observation 9e4a3275-90a1-4f01-b800-1594e14f4d53 · outbound

This paper cites Jamming Signals Classification Using Convolutional Neural Network,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Jamming Signals Classification Using Convolutional Neural Network,

Reference 11

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source=pdf_text observed=2026-08-02T03:27:05.038471Z digest=sha256:03f0c2ccae9621e385c407556432133913009710c2c117f62ce025b0e55710ce

Observation dfd233a1-36ab-4e31-97e3-69b9cd7c6eaf · outbound

This paper cites A neural network approach for wireless spectrum anomaly detection in 5G-unlicensed network,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation A neural network approach for wireless spectrum anomaly detection in 5G-unlicensed network,

Reference 12

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source=pdf_text observed=2026-08-02T03:27:05.043909Z digest=sha256:d55d30047ce700cd8df080c1524ddf3a084b9ad9f8c7b3e4586c96269d33a401

Observation 69a725b2-a720-41a1-912f-59fe4215ded9 · outbound

This paper cites Unsupervised Wireless Spectrum Anomaly Detection With Interpretable Features,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Unsupervised Wireless Spectrum Anomaly Detection With Interpretable Features,

Reference 13

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source=pdf_text observed=2026-08-02T03:27:05.047666Z digest=sha256:95cb97946dc2a6a6b661c109866520dd3696b8d1412016f12d7505c3d35e6ff9

Observation 0c5ed69b-9776-445a-adb5-a3a82840cb80 · outbound

This paper cites Deep Predictive Coding Neural Network for RF Anomaly Detection in Wireless Networks,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Deep Predictive Coding Neural Network for RF Anomaly Detection in Wireless Networks,

Reference 14

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source=pdf_text observed=2026-08-02T03:27:05.051412Z digest=sha256:ce6bf2e4c38846ce91c3ee56ad700341bf6b08c0543415af45ee7a72104c78f2

Observation e4cfe7f9-3885-48e9-ba8c-2e59646e9ec6 · outbound

This paper cites Using Deep Convolutional Neural Network to Recognize LTE Uplink Interference,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Using Deep Convolutional Neural Network to Recognize LTE Uplink Interference,

Reference 15

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source=pdf_text observed=2026-08-02T03:27:05.055179Z digest=sha256:142419175bf21edeb01f2c5b76712f54d2d582c98a2a137147cbd53f9565cdfe

Observation a774edfb-4d18-46e2-89b9-535106f9c9a7 · outbound

This paper cites A Radio Anomaly Detection Algorithm Based on Modified Generative Adversarial Network,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation A Radio Anomaly Detection Algorithm Based on Modified Generative Adversarial Network,

Reference 16

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source=pdf_text observed=2026-08-02T03:27:05.058748Z digest=sha256:3c5c353e993eb9db811a1382a66f62b0de501339db2f4af412aca536f3b4253e

Observation d921f7b1-e11c-4b62-ad9a-9fc46d2419a5 · outbound

This paper cites Wireless Sensing in Artificial Intelligence of Things: A General Quantum Machine Learning Framework,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Wireless Sensing in Artificial Intelligence of Things: A General Quantum Machine Learning Framework,

Reference 17

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source=pdf_text observed=2026-08-02T03:27:05.062364Z digest=sha256:c6831909a8ae9b6fb2e4ffe632420db603c85592bed0fa178b3fbbbc7443b012

Observation 97ef23a1-6b56-4a9f-bf20-5b850617a235 · outbound

This paper cites QuaCK-TSF: Quantum- classical kernelized time series forecasting,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation QuaCK-TSF: Quantum- classical kernelized time series forecasting,

Reference 18

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source=pdf_text observed=2026-08-02T03:27:05.065968Z digest=sha256:f7df7a8ce2ff642c7a06787f03e79d6721ce0a03e9e02197c097126684e9a2a3

Observation 9199de62-c4b7-40f7-9889-158b801bc883 · outbound

This paper cites LatentQGAN: A hybrid QGAN with classical convolutional autoencoder,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation LatentQGAN: A hybrid QGAN with classical convolutional autoencoder,

Reference 19

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source=pdf_text observed=2026-08-02T03:27:05.069472Z digest=sha256:8831f82e111752e147f5eea82cef95c06741eff576bba42952845238c7bdc5b4

Observation 920cbd43-fb65-4a2c-aa8d-4fba3fc55d4c · outbound

This paper cites Quantum Machine Learning for Anomaly Detection: The Future of Smarter and Safer IoT Networks,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Quantum Machine Learning for Anomaly Detection: The Future of Smarter and Safer IoT Networks,

Reference 20

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source=pdf_text observed=2026-08-02T03:27:05.073121Z digest=sha256:56404696b0e1960b143e4872ffee366dd73b092c7a19d62b6bf27c7577538896

Observation 44f62fa2-2860-4f68-ac22-9719611776c9 · outbound

This paper cites Learning Gaussian processes with randomized quantum local kernels,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Learning Gaussian processes with randomized quantum local kernels,

Reference 21

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source=pdf_text observed=2026-08-02T03:27:05.077026Z digest=sha256:695f0e4fd616a14586cb4484fe22046a6d1d7bc43409b3bd9f00fae6096a11a0

Observation efa956dd-4f9b-420e-b2eb-f155b9ea04a1 · outbound

This paper cites Multivariate time series forecasting with gate-based quantum reservoir computing on NISQ hardware,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Multivariate time series forecasting with gate-based quantum reservoir computing on NISQ hardware,

Reference 22

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source=pdf_text observed=2026-08-02T03:27:05.080648Z digest=sha256:f9192106d3448aa4c7f45595e9364c935934ebf50f008338a079acafd3f83513

Observation ed575bb7-96e6-4b7e-b9e8-817a48e46767 · outbound

This paper cites Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers

Reference 23

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source=pdf_text observed=2026-08-02T03:27:05.084438Z digest=sha256:6cd805aba7f433957150a452c454c33d692bc5673dcec8eac250b71578592800

Observation 91236cfb-dce2-4a02-9864-87b55a3b9e87 · outbound

This paper cites Variational quantum algorithms,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Variational quantum algorithms,

Reference 24

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source=pdf_text observed=2026-08-02T03:27:05.088514Z digest=sha256:d485b6f36e90981b5bcb1a557fd0f85a971bc9ffd2776b251b28da13950f792f

Observation 4b1a3026-feb4-4f91-9f60-48acd8c298cb · outbound

This paper cites A Systematic Review on Quantum Machine Learning Applications in Classification,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation A Systematic Review on Quantum Machine Learning Applications in Classification,

Reference 25

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source=pdf_text observed=2026-08-02T03:27:05.092003Z digest=sha256:d493ae8d1a929730b9a730fc72b03515db11bc3b1ba8d7d922445ea2b2a6a163

Observation 8692be9b-7fa5-402c-b505-847c751d9d06 · outbound

This paper cites Wireless Anomaly Signal Dataset (W ASD): An Open Dataset for Wireless Cellular Spectrum Monitoring and Anomaly Detection,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Wireless Anomaly Signal Dataset (W ASD): An Open Dataset for Wireless Cellular Spectrum Monitoring and Anomaly Detection,

Reference 26

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source=pdf_text observed=2026-08-02T03:27:05.095589Z digest=sha256:45e0ef27bfb4105a7e86a62eb732d78034b25210f3345e200a5334960800adbf

Observation bcafc9f9-ba55-41be-9ab4-45115833c3dd · outbound

This paper cites Spectrum Anomaly Detection Using Deep Neural Networks: A Wireless Signal Perspective,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Spectrum Anomaly Detection Using Deep Neural Networks: A Wireless Signal Perspective,

Reference 27

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source=pdf_text observed=2026-08-02T03:27:05.099217Z digest=sha256:3ca976bcaad9e5deb1a0a585befa74f6a1b21fb65af05904e442ae56939a5e02

Observation 4a8debc9-bc64-48b8-ab4e-b425f0bc4c77 · outbound

This paper cites From 5G to 6G Networks: A Survey on AI-Based Jamming and Interference Detection and Mitigation,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation From 5G to 6G Networks: A Survey on AI-Based Jamming and Interference Detection and Mitigation,

Reference 28

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source=pdf_text observed=2026-08-02T03:27:05.102770Z digest=sha256:6cfcf62f512dd8f20f4d9c6ab9010b08e25fa0476685a8e93aaecf5bf9407f04

Observation 1f1c9e93-1b39-49c2-a9e0-c22abbca06ac · outbound

This paper cites Low Computational Enhancement of STFT-Based Parameter Estimation,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Low Computational Enhancement of STFT-Based Parameter Estimation,

Reference 29

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source=pdf_text observed=2026-08-02T03:27:05.106557Z digest=sha256:c5c456f44b27ea03bcba6876e403cf347b3a076c2e00a9c410eb70e5550d7158

Observation 5199e3bd-6811-407c-9e05-ec8056a9b6ac · outbound

This paper cites The JPEG Still Picture Compression Standard,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation The JPEG Still Picture Compression Standard,

Reference 30

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source=pdf_text observed=2026-08-02T03:27:05.110321Z digest=sha256:51ea15d37b38c12ab8ddb87d131b6b258f902afb487560ff343da9aabcd64885

Observation 440003bc-e5dd-46ff-8f00-157a68ddb0e6 · outbound

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

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Data re-uploading for a universal quantum classifier,

Reference 31

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source=pdf_text observed=2026-08-02T03:27:05.114115Z digest=sha256:a3ade10179274adc95df666b6ba78c96cabc054d6987100c9011701c6c2c33f6

Observation f674d813-b7e1-4b89-a949-8f1872816dd2 · outbound

This paper cites Effect of data encoding on the expressive power of variational quantum-machine-learning models,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Effect of data encoding on the expressive power of variational quantum-machine-learning models,

Reference 32

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Observation 8b3a4d62-7fb5-45ad-9423-ac7c1d892a6a · outbound

This paper cites Support-Vector Networks,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Support-Vector Networks,

Reference 33

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source=pdf_text observed=2026-08-02T03:27:05.121281Z digest=sha256:0ffe38b0f689d909f18f6101667d2b939c5f1418ab0d13adca1dd776d041e3c8

Observation b6fb855a-15cb-4e4d-b91c-382cedad2c25 · outbound

This paper cites The Regression Analysis of Binary Sequences,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation The Regression Analysis of Binary Sequences,

Reference 34

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source=pdf_text observed=2026-08-02T03:27:05.124783Z digest=sha256:0eeaae6ebfd26d7761feaf2920b6f341374a94384efc051bea3ccc443f04a714

Observation 240f3dc6-9443-4ecf-9e8d-71904cbefb01 · outbound

This paper cites Random Features for Large-Scale Kernel Machines,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Random Features for Large-Scale Kernel Machines,

Reference 35

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source=pdf_text observed=2026-08-02T03:27:05.128353Z digest=sha256:62523c5187ddd83727b00bf25c3826a584abc0e753034f566d3df558d2acc331

Observation 5135fca7-e12a-4922-bfb9-839d9155ea93 · outbound

This paper cites Using the Nyström Method to Speed Up Kernel Machines,.

RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation Using the Nyström Method to Speed Up Kernel Machines,

Reference 36

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