Paper Citation Record · LEDGER

A Novel Parallel QCNN Architecture with Efficient Classical Simulability

As of 21 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.08928.

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

pith.paper-citation-record.v1
2607.08928 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T05:44:30.612380Z

measured 15 of 15 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

15 of 15 outbound references displayed

verified exact2
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17558fb5-8577-4194-bde8-637f87c90a04 · outbound

This paper cites Quantum convolutional neural networks,.

A Novel Parallel QCNN Architecture with Efficient Classical Simulability Quantum convolutional neural networks,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T05:44:30.612380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d8fe0d0-3ffa-46b0-b4db-464c03ee245f · outbound

This paper cites Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints.

A Novel Parallel QCNN Architecture with Efficient Classical Simulability Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T05:44:30.612380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b5fb953-32dc-47d2-9a24-4859e95c0ff5 · outbound

This paper cites Full-state quantum circuit simulation by using data compression,.

A Novel Parallel QCNN Architecture with Efficient Classical Simulability Full-state quantum circuit simulation by using data compression,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T05:44:30.612380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e9217bd-ec6b-4ecd-97f4-7be332431369 · outbound

This paper cites The Quantum Convolutional Neural Network,.

A Novel Parallel QCNN Architecture with Efficient Classical Simulability The Quantum Convolutional Neural Network,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T05:44:30.612380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dec1192-0cf1-4888-9d27-369ba357433a · outbound

This paper cites The MNIST database of handwritten digits,.

A Novel Parallel QCNN Architecture with Efficient Classical Simulability The MNIST database of handwritten digits,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T05:44:30.612380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edaa7638-9256-47a2-a71d-d5819a26561d · outbound

This paper cites Model Parallel Training and Transfer Learning for Convolutional Neural Networks by Domain Decomposition.

A Novel Parallel QCNN Architecture with Efficient Classical Simulability Model Parallel Training and Transfer Learning for Convolutional Neural Networks by Domain Decomposition

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T05:44:30.612380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bca7c76-f3db-4020-950e-5e09be13f9e6 · outbound

This paper cites Splitting and parallelizing of quantum convolutional neural networks for learning translationally symmetric data,.

A Novel Parallel QCNN Architecture with Efficient Classical Simulability Splitting and parallelizing of quantum convolutional neural networks for learning translationally symmetric data,

Reference 7

Resolution: verified exact; doi, observed 2026-07-13T05:49:23.818769Z

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 eda3796c-9ffc-44c3-9e26-610c7b7c9852 · outbound

This paper cites An Introduction to Convolutional Neural Networks.

A Novel Parallel QCNN Architecture with Efficient Classical Simulability An Introduction to Convolutional Neural Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T05:44:30.612380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60350926-31c4-4f51-a104-ad93ad75ab40 · outbound

This paper cites Optimal Quantum Circuits for General Two-Qubit Gates.

A Novel Parallel QCNN Architecture with Efficient Classical Simulability Optimal Quantum Circuits for General Two-Qubit Gates

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-13T05:44:30.612380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8f01de8-c03d-44f9-a333-52cd62b9aa22 · outbound

This paper cites A Herculean task: classical simulation of quantum computers,.

A Novel Parallel QCNN Architecture with Efficient Classical Simulability A Herculean task: classical simulation of quantum computers,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T05:44:30.612380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a45093c-87e9-457e-a82f-d5165bfb97f5 · outbound

This paper cites Statevector.py,.

A Novel Parallel QCNN Architecture with Efficient Classical Simulability Statevector.py,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T05:44:30.612380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6af6527c-f851-460c-8df9-f0b9f60c1671 · outbound

This paper cites Density matrices and partial trace,.

A Novel Parallel QCNN Architecture with Efficient Classical Simulability Density matrices and partial trace,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T05:44:30.612380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32cd024a-53a3-492c-918f-eb357952806e · outbound

This paper cites What is stochastic gradient descent?,.

A Novel Parallel QCNN Architecture with Efficient Classical Simulability What is stochastic gradient descent?,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T05:44:30.612380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 522df8ca-4c96-4f17-96e5-4e622bbff7ff · outbound

This paper cites Evaluating analytic gradients on quantum hardware,.

A Novel Parallel QCNN Architecture with Efficient Classical Simulability Evaluating analytic gradients on quantum hardware,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T05:44:30.612380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36a65c81-3ee7-4bf3-9fbf-d0cf94d3d08c · outbound

This paper cites Quantum convolutional neural network based on variational quantum circuits,.

A Novel Parallel QCNN Architecture with Efficient Classical Simulability Quantum convolutional neural network based on variational quantum circuits,

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-13T05:49:23.825181Z

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.

Pith citing papers

No inbound Pith citation observations are available.