Paper Citation Record · LEDGER

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks

As of 14 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.20045.

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

pith.paper-citation-record.v1
2607.20045 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:01:25.856774Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

24 of 24 outbound references displayed

verified exact0
verified fuzzy0
unresolved24
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e7aba17-959f-49e7-86a4-138bd32344c1 · outbound

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

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Quantum computing in the nisq era and beyond,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:23.273210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6159b6aa-c6fb-4f95-ad12-6c2defbbb4cd · outbound

This paper cites Training with noise is equivalent to tikhonov regularization,.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Training with noise is equivalent to tikhonov regularization,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:23.346585Z

Source-reported events for the cited work

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Observation 2eb11d26-abf0-47c6-8f57-f51491178cc6 · outbound

This paper cites Overfitting in quantum machine learning and entangling dropout,.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Overfitting in quantum machine learning and entangling dropout,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:23.387751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 423a6999-58ae-4805-bea5-64f4f9967ea5 · outbound

This paper cites Explicit regularisation in gaussian noise injections,.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Explicit regularisation in gaussian noise injections,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:23.431527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 508fb151-8239-4107-ac7b-4a1addf50383 · outbound

This paper cites Dropout: A simple way to prevent neural networks from overfitting,.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Dropout: A simple way to prevent neural networks from overfitting,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:23.593587Z

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Unavailable: canonical work link unavailable.

Observation 90eef43c-0194-470a-be36-41645c2a3bf1 · outbound

This paper cites A general approach to dropout in quantum neural networks,.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks A general approach to dropout in quantum neural networks,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:23.657397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c679ff1b-5597-4d8c-9226-8839adda9e10 · outbound

This paper cites Perceval: A software platform for discrete variable photonic quantum computing,.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Perceval: A software platform for discrete variable photonic quantum computing,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:23.766679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c57b683d-830d-444d-9c88-03417ef56c24 · outbound

This paper cites MerLin: A Discovery Engine for Photonic and Hybrid Quantum Machine Learning.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks MerLin: A Discovery Engine for Photonic and Hybrid Quantum Machine Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:23.864832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d599fe86-022a-4f55-9120-4ce7633672f4 · outbound

This paper cites Near-optimal single-photon sources in the solid state,.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Near-optimal single-photon sources in the solid state,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:24.054982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7be2ce7e-515f-44a9-8ce5-1e642a642bf9 · outbound

This paper cites A general-purpose single-photon-based quantum computing platform.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks A general-purpose single-photon-based quantum computing platform

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:24.180670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6958341-a5b4-41b3-8220-a3102c42a8b8 · outbound

This paper cites an unresolved cited work.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:24.267677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4168692-dd00-4b54-b724-b9cbe49d499d · outbound

This paper cites Optical Recognition of Handwritten Digits,.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Optical Recognition of Handwritten Digits,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:24.338929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e2450a6-a36a-4cfb-baf2-9914131ff74a · outbound

This paper cites Mnist handwritten digit database,.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Mnist handwritten digit database,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:24.504802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4537615-5c75-414b-bbb0-da986045964b · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:24.666166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5680ac21-b396-4800-9bdf-52c4eee68fd6 · outbound

This paper cites Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:24.761883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f50d45b-7a44-45cd-a2ba-7b9ed43a7204 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Gaussian Error Linear Units (GELUs)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:24.923672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d4b1165-e8f8-4b79-8857-5c83d89ce338 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Adam: A Method for Stochastic Optimization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:25.046593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 757c6062-44ff-41b5-816e-63a4fb85a750 · outbound

This paper cites an unresolved cited work.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:25.131520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39e63d28-7164-48ef-9355-10c98ec7881e · outbound

This paper cites Genetic algorithms, tournament selection, and the effects of noise,.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Genetic algorithms, tournament selection, and the effects of noise,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:25.217988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0634589-34e4-46db-85f7-119b36f4cb29 · outbound

This paper cites A comparative analysis of selection schemes used in genetic algorithms,.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks A comparative analysis of selection schemes used in genetic algorithms,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:25.317885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc7e9af3-4a9b-427b-9845-553b7121b7c2 · outbound

This paper cites Gaussian mutation and self-adaption for numeric genetic algorithms,.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Gaussian mutation and self-adaption for numeric genetic algorithms,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:25.479980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8261fb4b-ff00-411b-8473-8fb73cb18cb3 · outbound

This paper cites The crowding approach to niching in genetic algorithms,.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks The crowding approach to niching in genetic algorithms,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:25.582432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9da77eaf-2ee2-440d-9e29-09251efcc287 · outbound

This paper cites Strong simulation of linear optical processes,.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks Strong simulation of linear optical processes,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:25.738513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83a94dee-67b5-477c-9cfa-5753998f93f5 · outbound

This paper cites The computational complexity of linear optics,.

PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks The computational complexity of linear optics,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T11:01:25.856774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.