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Paper Citation Record · LEDGER

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy

As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2507.20537.

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

pith.paper-citation-record.v1
2507.20537 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:45:00.708043Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

31 of 31 outbound references displayed

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  • verified fuzzy12
  • unresolved18
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d4c8224e-1233-4287-8acd-8ad1a972810b · outbound

This paper cites A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead

Reference 1

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Observation b41691f0-a8db-4bbe-a469-a25741a47caf · outbound

This paper cites Quantum computing in the nisq era and beyond,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Quantum computing in the nisq era and beyond,

Reference 2

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source=pdf_text observed=2026-08-15T17:45:00.548787Z digest=sha256:5aa6f9cabe1dcc888b4e6d33ac9d7aaffa6ebc8f221ca5e41451b682a6974e78

Observation d069a441-ba2d-4032-bd30-ad8df1a4f4bb · outbound

This paper cites A comparative analysis of hybrid-quantum classical neural networks,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy A comparative analysis of hybrid-quantum classical neural networks,

Reference 3

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Observation e905b0aa-4423-4fdc-898d-c3c9bd1bebc7 · outbound

This paper cites Computational advantage in hybrid quantum neural networks: Myth or reality?,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Computational advantage in hybrid quantum neural networks: Myth or reality?,

Reference 4

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Observation d4e94c87-6460-4cd1-8cfd-ce17df6e2ea4 · outbound

This paper cites Design space exploration of hybrid quantum–classical neural networks,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Design space exploration of hybrid quantum–classical neural networks,

Reference 5

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Observation f8b47247-6be9-4b65-90c6-c0fc514a4b72 · outbound

This paper cites Barren plateaus in quantum neural network training landscapes,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Barren plateaus in quantum neural network training landscapes,

Reference 6

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Observation 6e6004df-e31a-4c28-8190-df1b5a6c47ab · outbound

This paper cites Investigating the effect of noise on the training performance of hybrid quantum neural networks,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Investigating the effect of noise on the training performance of hybrid quantum neural networks,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:45:00.579792Z digest=sha256:80b95039db318d9d80242bbc2b5ecd1783452ab6491722475677021ef54771ab

Observation 7b2bccf1-327b-42bd-b605-19b4e1db24d5 · outbound

This paper cites Alleviating barren plateaus in parameterized quantum machine learning circuits: Investigating advanced parameter initializa- tion strategies,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Alleviating barren plateaus in parameterized quantum machine learning circuits: Investigating advanced parameter initializa- tion strategies,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:45:00.585596Z digest=sha256:b88fbc359e7279745738bcbecd79c2e9ef488602d7b312bcf8c9af01e9fb0289

Observation 1be6a63a-b62c-4612-b21b-06a8684c1bf0 · outbound

This paper cites The impact of cost function globality and locality in hybrid quantum neural networks on nisq devices,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy The impact of cost function globality and locality in hybrid quantum neural networks on nisq devices,

Reference 9

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source=pdf_text observed=2026-08-15T17:45:00.591884Z digest=sha256:1148ce623013995eb732c38ab33d68f83576d4bd0082fbcc2bdc2ee3603b5b40

Observation 54b1082d-7e94-4bc3-9924-aad061bb6f50 · outbound

This paper cites HQNET: Harnessing Quantum Noise for Effective Training of Quantum Neural Networks in NISQ Era.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy HQNET: Harnessing Quantum Noise for Effective Training of Quantum Neural Networks in NISQ Era

Reference 10

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source=pdf_text observed=2026-08-15T17:45:00.596776Z digest=sha256:3f953b4f1f5b8e8de3babb3de50abdd1496d2e6f301928e07ee61592f3766e1e

Observation b0e89d6f-f11e-4119-90c4-39a289b68fbe · outbound

This paper cites The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of hqnns,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of hqnns,

Reference 11

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source=pdf_text observed=2026-08-15T17:45:00.602727Z digest=sha256:349e362e682eb1e170af5ef818f9f44444708de66404304e1f1a38ffe50cf2b0

Observation a968b991-4531-4902-afda-45963cf140d8 · outbound

This paper cites The dilemma of random parameter initialization and barren plateaus in variational quantum algorithms,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy The dilemma of random parameter initialization and barren plateaus in variational quantum algorithms,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:45:00.608582Z digest=sha256:187632503820eb0607bf05d6e7735b773a0f280bb5cdb5f99f94ea6a2089a817

Observation 9e811a75-1f27-4116-986d-8f0951b50557 · outbound

This paper cites Resqnets: a residual approach for mit- igating barren plateaus in quantum neural networks,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Resqnets: a residual approach for mit- igating barren plateaus in quantum neural networks,

Reference 13

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source=pdf_text observed=2026-08-15T17:45:00.614303Z digest=sha256:a389303d8432fd3223f41468632ee38f2ea4144f89cf21aad86ea479838576cc

Observation 6c6ebc71-44bf-4741-b749-cdfabc4b96ff · outbound

This paper cites ResQuNNs: Towards Enabling Deep Learning in Quantum Convolution Neural Networks.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy ResQuNNs: Towards Enabling Deep Learning in Quantum Convolution Neural Networks

Reference 14

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Observation 5454bc62-7c87-4e1a-93a3-a1c33f62171d · outbound

This paper cites Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices

Reference 15

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Observation dce42154-6e20-48c8-af95-b1356adebbcd · outbound

This paper cites Noisy hqnns: A comprehensive analysis of noise robustness in hybrid quantum neural networks,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Noisy hqnns: A comprehensive analysis of noise robustness in hybrid quantum neural networks,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:45:00.629431Z digest=sha256:fc55f8f79b7e0e75836ecad415a2354afd8ec5da706d8a174d1404c4ac3b7978

Observation 3973faa3-5053-459f-baae-1ab4b942453b · outbound

This paper cites Nrqnn: The role of observable selection in noise-resilient quantum neural networks,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Nrqnn: The role of observable selection in noise-resilient quantum neural networks,

Reference 17

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Observation 6617076e-5067-4482-8cd6-1f5ad8275ca8 · outbound

This paper cites Advqunn: A methodology for analyzing the adversarial robustness of quanvolutional neural networks,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Advqunn: A methodology for analyzing the adversarial robustness of quanvolutional neural networks,

Reference 18

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:45:00.638855Z digest=sha256:ae76b7da77120699e5c8db46003f80d3bbb797d01ebd45e46fc339132f37275a

Observation 688262ff-7bf8-41a7-86a3-f9847558dbab · outbound

This paper cites Robqunns: A methodology for robust quanvolu- tional neural networks against adversarial attacks,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Robqunns: A methodology for robust quanvolu- tional neural networks against adversarial attacks,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:45:00.644079Z digest=sha256:1f14438ed53ea3c5b420596a090ee5a620d66510e42aa7fe3c50eb374a52f2e8

Observation 39454b98-933f-42f6-9101-f8d284f21746 · outbound

This paper cites Designing Robust Quantum Neural Networks via Optimized Circuit Metrics.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Designing Robust Quantum Neural Networks via Optimized Circuit Metrics

Reference 20

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local_arxiv, observed 2026-08-15T17:45:01.046553Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation cde88e1b-62d6-4303-ae9a-2752a45c2fbb · outbound

This paper cites Designing robust quantum neural networks via optimized circuit metrics,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Designing robust quantum neural networks via optimized circuit metrics,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7ee21c93-d529-4fdf-af51-fdbb2fdf518d · outbound

This paper cites FedQNN: Federated learning using quantum neural networks,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy FedQNN: Federated learning using quantum neural networks,

Reference 22

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:45:00.659888Z digest=sha256:05479de12fd631be282cbd82159b6683fe518cb915af201ca89a95f9cd357065

Observation e911e77c-14a2-499d-be77-404bb32fc4c8 · outbound

This paper cites MQFL-FHE: Multimodal quantum federated learn- ing framework with fully homomorphic encryption,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy MQFL-FHE: Multimodal quantum federated learn- ing framework with fully homomorphic encryption,

Reference 23

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source=pdf_text observed=2026-08-15T17:45:00.668116Z digest=sha256:d0bbc9479e5dcc98e04402a9d656794bceb07e0e939e2ab12867263d65be2a55

Observation 306639f4-f641-4d35-9ddd-e845e6f4e26e · outbound

This paper cites Financial fraud detection: a comparative study of quantum machine learning models,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Financial fraud detection: a comparative study of quantum machine learning models,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:45:00.673580Z digest=sha256:d2bd07161e6a63d696810bf5a9ae0b8c822bb68a81ac86f6ff6753bb0a8b768e

Observation 7811899b-668a-4ff2-999f-aa462b8d580e · outbound

This paper cites Comparative performance analysis of quantum machine learning architectures for credit card fraud detection,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Comparative performance analysis of quantum machine learning architectures for credit card fraud detection,

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:45:00.678610Z digest=sha256:b275edc5812f834c3a4246b88cac8d94e4506a3702dc60318763095ca1c6ab04

Observation 1e3d80f8-ec6d-4a45-8929-021243cb8225 · outbound

This paper cites QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:45:00.683239Z digest=sha256:97e21b7e4198f8ff821eaad3d6af383758711ada6c5a81748dfd79f4d0fc94d2

Observation 2458a8dc-548b-4244-ad00-53277de4489c · outbound

This paper cites LEP-QNN: Loan eligibility prediction using quantum neural networks,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy LEP-QNN: Loan eligibility prediction using quantum neural networks,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:45:00.688713Z digest=sha256:2e58eed6cd781b7aafce000186ef0fbc82f869c22bf803ca2be1327d4bbd4e78

Observation c9ccf02d-9e60-4155-b5c6-a86ccc12be5d · outbound

This paper cites Quantum state tomography using quantum machine learning,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Quantum state tomography using quantum machine learning,

Reference 28

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raw_fallback, observed 2026-08-15T17:45:01.160696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:45:00.693399Z digest=sha256:055519a018cac71036dd1d5821a16d79950039a47e749fd225c7c0b1277f6558

Observation 14aca403-52b0-4c51-b0a6-fd68f34d10ff · outbound

This paper cites Mqml: Multi-omic quantum machine learning based cancer classification, biomarker identification in human lung adenocarcinoma,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy Mqml: Multi-omic quantum machine learning based cancer classification, biomarker identification in human lung adenocarcinoma,

Reference 29

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raw_fallback, observed 2026-08-15T17:45:01.145126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:45:00.698616Z digest=sha256:f07e97815187757773b15ce6106af1eb04d9d0e90724e152570bf98a9c77d2d5

Observation 8f60bebb-1c78-4e9f-9af1-348cb0a44f09 · outbound

This paper cites QNN-VRCS: A quantum neural network for vehicle road cooperation systems,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy QNN-VRCS: A quantum neural network for vehicle road cooperation systems,

Reference 30

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raw_fallback, observed 2026-08-15T17:45:01.128564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T17:45:00.703481Z digest=sha256:e05d43c992917c14ecbf71ba1fd4f03744d88ce2100c9a3e9261217875c39257

Observation 60b0e1cb-f6d8-42e0-ad8c-619643aaf7e2 · outbound

This paper cites QUIET-SR: Quantum image enhancement transformer for single image super-resolution,.

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy QUIET-SR: Quantum image enhancement transformer for single image super-resolution,

Reference 31

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source=pdf_text observed=2026-08-15T17:45:00.708043Z digest=sha256:3286a4dc5a967bfba7595942556f442186699d1198efff4fde63ea0cede54825

Pith citing papers

No inbound Pith citation observations are available.