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Paper Citation Record · LEDGER

Solving MNIST with a globally trained Mixture of Quantum Experts

As of 21 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 4 inbound Pith citation observations for arXiv:2505.14789.

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

pith.paper-citation-record.v1
2505.14789 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:30.352557Z

measured 51 of 51 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:36:42.584574Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T19:17:31.676486Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact3
  • verified fuzzy11
  • unresolved32
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ab29fad-9fb6-4ff6-ba9a-5cab29c1488b · outbound

This paper cites an unresolved cited work.

Solving MNIST with a globally trained Mixture of Quantum Experts Unresolved cited work

Reference 1

Resolution
unresolved
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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 34b1a759-355b-4387-9ec9-1ab4559860cb · outbound

This paper cites an unresolved cited work.

Solving MNIST with a globally trained Mixture of Quantum Experts Unresolved cited work

Reference 2

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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 26060341-4f9e-4412-ba89-087acfad5062 · outbound

This paper cites an unresolved cited work.

Solving MNIST with a globally trained Mixture of Quantum Experts Unresolved cited work

Reference 3

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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 fac48c53-5d51-4e9a-9b4a-1120f0369a96 · outbound

This paper cites understanding the LEarning process of QUantum Neural networks (LeQun).

Solving MNIST with a globally trained Mixture of Quantum Experts understanding the LEarning process of QUantum Neural networks (LeQun)

Reference 4

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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 3c604476-f101-4639-887b-687168142c65 · outbound

This paper cites Preskill, Quantum 2, 79 (2018).

Solving MNIST with a globally trained Mixture of Quantum Experts Preskill, Quantum 2, 79 (2018)

Reference 5

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Source-reported events for the cited work

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Observation 5a698884-cae1-4b8d-8a9c-e07eb99c84b6 · outbound

This paper cites Biamonte, P.

Solving MNIST with a globally trained Mixture of Quantum Experts Biamonte, P

Reference 6

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Source-reported events for the cited work

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Observation f511d9c5-2816-4edd-9cab-70536b72c36b · outbound

This paper cites Cerezo, G.

Solving MNIST with a globally trained Mixture of Quantum Experts Cerezo, G

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0e69e1ed-cdca-44f7-81f9-324d51fc3ff0 · outbound

This paper cites Aaronson, Nature Phys.

Solving MNIST with a globally trained Mixture of Quantum Experts Aaronson, Nature Phys

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.

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Observation 7aa63316-57b9-4984-bd92-7531c8bab4df · outbound

This paper cites Schuld and N.

Solving MNIST with a globally trained Mixture of Quantum Experts Schuld and N

Reference 9

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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 7a84badc-6940-44a6-b0ae-ab59008a1f8e · outbound

This paper cites an unresolved cited work.

Solving MNIST with a globally trained Mixture of Quantum Experts Unresolved cited work

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b557d9c2-77a8-4a55-b9f9-70797c76d638 · outbound

This paper cites Gily´ en, Y.

Solving MNIST with a globally trained Mixture of Quantum Experts Gily´ en, Y

Reference 11

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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 37337c7e-1a3d-4afe-b0b0-fd1fe288af4e · outbound

This paper cites Quantum computational complexity of matrix functions.

Solving MNIST with a globally trained Mixture of Quantum Experts Quantum computational complexity of matrix functions

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.

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Observation 4b2b70cc-5a69-4853-a6a1-dbf520650115 · outbound

This paper cites Cerezo, A.

Solving MNIST with a globally trained Mixture of Quantum Experts Cerezo, A

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8edf0711-a0fa-4f45-bbfa-e624202c0393 · outbound

This paper cites an unresolved cited work.

Solving MNIST with a globally trained Mixture of Quantum Experts Unresolved cited work

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 27111e82-c069-4722-9e21-8eb9f295f537 · outbound

This paper cites Cerezo, A.

Solving MNIST with a globally trained Mixture of Quantum Experts Cerezo, A

Reference 15

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Observation ad11b2d1-4b9a-4db3-86a0-604888cbd387 · outbound

This paper cites Quantifying the barren plateau phenomenon for a model of unstructured variational ans\"{a}tze.

Solving MNIST with a globally trained Mixture of Quantum Experts Quantifying the barren plateau phenomenon for a model of unstructured variational ans\"{a}tze

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cba4b76f-45ba-4d14-9e64-d4feedd77b51 · outbound

This paper cites Holmes, K.

Solving MNIST with a globally trained Mixture of Quantum Experts Holmes, K

Reference 17

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Unavailable: canonical work link unavailable.

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Observation 81ec59f3-974b-4434-b85f-b7d7ad842989 · outbound

This paper cites an unresolved cited work.

Solving MNIST with a globally trained Mixture of Quantum Experts Unresolved cited work

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d7dd9ebe-56e9-4a87-b621-bedc5750ed06 · outbound

This paper cites Grant, L.

Solving MNIST with a globally trained Mixture of Quantum Experts Grant, L

Reference 19

Resolution
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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 733c524f-655f-44b5-a5e9-4bd4e62c9b2f · outbound

This paper cites an unresolved cited work.

Solving MNIST with a globally trained Mixture of Quantum Experts Unresolved cited work

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:36:27.576727Z digest=sha256:855b37fbc91b2f5136598f666416ae8f49f5bd6a6bca7fafd7bd2a09f42f2291

Observation 1bec3a9a-a81a-40cb-89b9-d77946b6396e · outbound

This paper cites Liu, T.-P.

Solving MNIST with a globally trained Mixture of Quantum Experts Liu, T.-P

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 2a9c1c7c-07c7-4db5-b85a-e64eb1c8790b · outbound

This paper cites LeCun, Y.

Solving MNIST with a globally trained Mixture of Quantum Experts LeCun, Y

Reference 22

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Observation cf07d82a-359c-49ad-99ee-20ef4ba032c3 · outbound

This paper cites an unresolved cited work.

Solving MNIST with a globally trained Mixture of Quantum Experts Unresolved cited work

Reference 23

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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 63401d32-d63c-4ba9-af2e-aa7155ba1f91 · outbound

This paper cites Abbas, R.

Solving MNIST with a globally trained Mixture of Quantum Experts Abbas, R

Reference 24

Resolution
verified fuzzy
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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 ad6151cf-b5ad-4b70-8647-3e2a59d2408d · outbound

This paper cites Gily´ en, S.

Solving MNIST with a globally trained Mixture of Quantum Experts Gily´ en, S

Reference 25

Resolution
verified fuzzy
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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 3b364656-1b46-480c-8e80-35ef62537fd9 · outbound

This paper cites an unresolved cited work.

Solving MNIST with a globally trained Mixture of Quantum Experts Unresolved cited work

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2e6b7598-5a41-4cfa-ae37-b288b9fa80e1 · outbound

This paper cites Kerenidis and A.

Solving MNIST with a globally trained Mixture of Quantum Experts Kerenidis and A

Reference 27

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Unavailable: canonical work link unavailable.

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Observation 9814be90-08f2-4c8d-b7c8-b8f3dfe55c8c · outbound

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

Solving MNIST with a globally trained Mixture of Quantum Experts Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers

Reference 28

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Unavailable: canonical work link unavailable.

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Observation 5f174c53-c235-4981-8790-923ae1bf93aa · outbound

This paper cites Post-variational quantum neural networks.

Solving MNIST with a globally trained Mixture of Quantum Experts Post-variational quantum neural networks

Reference 29

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Unavailable: canonical work link unavailable.

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Observation 69c2c7a4-89c6-44ee-948d-5727d417900e · outbound

This paper cites Classification with Quantum Neural Networks on Near Term Processors.

Solving MNIST with a globally trained Mixture of Quantum Experts Classification with Quantum Neural Networks on Near Term Processors

Reference 30

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a857b03c-0eb8-4308-a8e1-438ad8f0f418 · outbound

This paper cites an unresolved cited work.

Solving MNIST with a globally trained Mixture of Quantum Experts Unresolved cited work

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 86a25445-e39e-423b-a3e0-9be471cc6988 · outbound

This paper cites A Tutorial on Quantum Convolutional Neural Networks (QCNN).

Solving MNIST with a globally trained Mixture of Quantum Experts A Tutorial on Quantum Convolutional Neural Networks (QCNN)

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a769d864-a96b-404e-a4f2-fa046a0e9ff9 · outbound

This paper cites Image compression and entanglement.

Solving MNIST with a globally trained Mixture of Quantum Experts Image compression and entanglement

Reference 33

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7bc13619-1995-4a49-8e1c-151b4b77b8bb · outbound

This paper cites Cramer, M.

Solving MNIST with a globally trained Mixture of Quantum Experts Cramer, M

Reference 34

Resolution
verified fuzzy
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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 e9012843-1326-4841-a193-f207d0f0c456 · outbound

This paper cites A Survey on Mixture of Experts in Large Language Models.

Solving MNIST with a globally trained Mixture of Quantum Experts A Survey on Mixture of Experts in Large Language Models

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ac121243-916b-4ecd-b70b-35d84baa3831 · outbound

This paper cites DeepSeek-V3 Technical Report.

Solving MNIST with a globally trained Mixture of Quantum Experts DeepSeek-V3 Technical Report

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 26803ab5-0623-4178-8290-b0e3bc51bdce · outbound

This paper cites Parameter-shift Rule,.

Solving MNIST with a globally trained Mixture of Quantum Experts Parameter-shift Rule,

Reference 37

Resolution
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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 e90be548-3c9d-419a-ac96-2ac4ebae3e37 · outbound

This paper cites Girardi and G.

Solving MNIST with a globally trained Mixture of Quantum Experts Girardi and G

Reference 38

Resolution
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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 9e88b91c-a808-4b11-a0a5-ae9f8ddb6f2e · outbound

This paper cites Quantitative convergence of trained quan- tum neural networks to a gaussian process,.

Solving MNIST with a globally trained Mixture of Quantum Experts Quantitative convergence of trained quan- tum neural networks to a gaussian process,

Reference 39

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verified exact
raw_fallback, observed 2026-08-07T15:36:31.254764Z

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=2026-08-07T15:36:29.561131Z digest=sha256:36292203c02e9251e037200413760ffe6126563e08897c9e6d46704282f4b4f9

Observation 03a16699-292b-41a4-833c-caa84421cbae · outbound

This paper cites Abedi, S.

Solving MNIST with a globally trained Mixture of Quantum Experts Abedi, S

Reference 40

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raw_fallback, observed 2026-08-07T15:36:31.866413Z

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=2026-08-07T15:36:29.634640Z digest=sha256:66efd2b2093ed6c84b64eb409cdcea0dbbe7a8f8e04ca4ee0e05f800ee811e7e

Observation cfbd90bb-3f18-47b5-88df-9643d04cd48d · outbound

This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

Solving MNIST with a globally trained Mixture of Quantum Experts PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 41

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unresolved
no resolver link, observed 2026-08-07T15:36:29.722964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:36:29.722964Z digest=sha256:aa9bfe8f6e298fea1d96ea692ab14a97a5d6cefdc8408c845fa306538b8d3bda

Observation 42dd25f6-9c99-454c-b4a3-4b5ae154b396 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Solving MNIST with a globally trained Mixture of Quantum Experts Adam: A Method for Stochastic Optimization

Reference 42

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no resolver link, observed 2026-08-07T15:36:29.842525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:36:29.842525Z digest=sha256:3f31bb993cf3e2ada83b490573bf72b9f85e682707bb1e0021918137c52a79f6

Observation de3cde22-4234-4754-b70c-81e42128b629 · outbound

This paper cites P´ erez-Salinas, A.

Solving MNIST with a globally trained Mixture of Quantum Experts P´ erez-Salinas, A

Reference 43

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no resolver link, observed 2026-08-07T15:36:29.964194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:36:29.964194Z digest=sha256:1cae89d37c8a4fdd7eeb10d28ee00e034fcb065d13b3a61ac6af09f9e057c60f

Observation d0cacd88-216f-4220-8d75-1d6df294b79c · outbound

This paper cites Multi-column Deep Neural Networks for Image Classification.

Solving MNIST with a globally trained Mixture of Quantum Experts Multi-column Deep Neural Networks for Image Classification

Reference 44

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unresolved
no resolver link, observed 2026-08-07T15:36:30.099892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:36:30.099892Z digest=sha256:6b9644c470c1627673545e9fa48acb684b768e78057de48debd11b15b4e5c09b

Observation 8e5b8eae-dfa8-470f-a748-8b1d66b11e93 · outbound

This paper cites Deng, IEEE Signal Processing Magazine 29, 141 (2012).

Solving MNIST with a globally trained Mixture of Quantum Experts Deng, IEEE Signal Processing Magazine 29, 141 (2012)

Reference 45

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no resolver link, observed 2026-08-07T15:36:30.196700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:36:30.196700Z digest=sha256:379acad2bf804008d2874002bdd5d7f937b972f3a87e60458626f6a32a02886a

Observation a3f900be-559b-43db-ac63-31120b7a52b2 · outbound

This paper cites An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit Recognition.

Solving MNIST with a globally trained Mixture of Quantum Experts An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit Recognition

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T15:36:30.288587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:36:30.288587Z digest=sha256:dd81a725c4a370f1e147f84573c46c513d70c2d1efffb6010622cfbb00ce0a0b

Observation eb6f297c-b343-4ca0-94a5-3f0c57eea97a · outbound

This paper cites Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures.

Solving MNIST with a globally trained Mixture of Quantum Experts Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures

Reference 47

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unresolved
no resolver link, observed 2026-08-07T15:36:30.352557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:36:30.352557Z digest=sha256:ac78f72099e14e1b71d774871b46ccc22ef16b8ad1a3ba8e229cf34251ccadf6

Pith citing papers

Observation 1f051a28-176f-4d3c-b591-e2afad08d4fa · inbound

Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding cites this paper.

Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding Solving MNIST with a globally trained Mixture of Quantum Experts

Reference 81

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no resolver link, observed 2026-08-12T16:36:42.584574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:36:42.584574Z digest=sha256:70213fd557934f1693d0e366e969383e0676af3527e25c769ab3e72eb933c223

Observation 99dfdcff-7b19-4414-b1f5-400693d1e892 · inbound

QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks cites this paper.

QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks Solving MNIST with a globally trained Mixture of Quantum Experts

Reference 35

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unresolved
no resolver link, observed 2026-08-06T19:35:22.069237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:35:22.069237Z digest=sha256:05598a6267f8c57161e5aa62c8ee44f8872a1fcc4b132abe6670696152f501cc

Observation 0b01cedb-7947-4138-a283-6a2bffeb9ea3 · inbound

Quantum feature-map learning with reduced resource overhead cites this paper.

Quantum feature-map learning with reduced resource overhead Solving MNIST with a globally trained Mixture of Quantum Experts

Reference 80

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unresolved
no resolver link, observed 2026-08-04T12:39:10.879272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:39:10.879272Z digest=sha256:442f9617dcdff2e7840efdf064d53c13b07faf26c890a37b29b74f4fd4b1844d

Observation d57a357d-2753-49ff-b3ca-4ea1d99d423d · inbound

Image classification via a quantum-inspired strategy involving a mixture of experts cites this paper.

Image classification via a quantum-inspired strategy involving a mixture of experts Solving MNIST with a globally trained Mixture of Quantum Experts

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-10T19:17:31.678013Z

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=2026-07-10T19:09:03.928334Z digest=sha256:8154661daab893c870a2ae8fefc4f839d8a8795546d148688bf6fabb6044a187