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Paper Citation Record · LEDGER

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support

As of 20 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2607.22516.

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

pith.paper-citation-record.v1
2607.22516 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:37:05.870356Z

measured 54 of 54 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

54 of 54 outbound references displayed

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  • verified fuzzy0
  • unresolved44
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  • malformed identifier2
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 83b26a56-3b38-4a90-8216-2f8456aa493f · outbound

This paper cites Alpaydin and Fevzi.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Alpaydin and Fevzi

Reference 1

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source=pdf_text observed=2026-08-01T04:37:03.100568Z digest=sha256:820f824689958d30137cf4d63dcd9011920f19534ac534faa2b29404f6e9ceaf

Observation 398ea33b-50f8-4662-90d5-030ed2a44944 · outbound

This paper cites Quantum variational algorithms are swamped with traps.Nat.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Quantum variational algorithms are swamped with traps.Nat

Reference 2

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source=pdf_text observed=2026-08-01T04:37:03.138837Z digest=sha256:4f34273b64c04d2fb96cf6dedfd4f06e528633cc31ca5a5d2fbd093b4742fe93

Observation 2ed3fa5f-0fe7-450f-b8a5-f8e40fccd683 · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Relational inductive biases, deep learning, and graph networks

Reference 3

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source=pdf_text observed=2026-08-01T04:37:03.186132Z digest=sha256:14244f3a4fed37a829c7efd78e3866ee08ddce762930768522615bb852088b73

Observation 370dc18e-b4a4-4196-8fa7-7e60c56968e3 · outbound

This paper cites Spectral methods: crucial for machine learning, natural for quantum computers?arXiv [quant-ph], 25 March.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Spectral methods: crucial for machine learning, natural for quantum computers?arXiv [quant-ph], 25 March

Reference 4

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Observation 16cba315-8ee2-48e6-bd85-f82390508138 · outbound

This paper cites Spectral Networks and Locally Connected Networks on Graphs.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Spectral Networks and Locally Connected Networks on Graphs

Reference 5

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source=pdf_text observed=2026-08-01T04:37:03.315138Z digest=sha256:48f7ea966027e42c05dcff97c34cc166fc5b95b1651b557af82ec21e44d62c1c

Observation 0d747893-ac7c-4498-aff7-cb491b97d572 · outbound

This paper cites Fable: Fast approximate quantum circuits for block- encodings.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Fable: Fast approximate quantum circuits for block- encodings

Reference 6

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source=pdf_text observed=2026-08-01T04:37:03.344895Z digest=sha256:3264f49f255ea34e18fd4e1db7a350cedb8138f27f09a00afe697d4b21407073

Observation b35b4117-3745-4ecf-ba6b-35c35b509ed0 · outbound

This paper cites Explicit Quantum Circuits for Block Encodings of Certain Sparse Matrices.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Explicit Quantum Circuits for Block Encodings of Certain Sparse Matrices

Reference 7

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source=pdf_text observed=2026-08-01T04:37:03.395424Z digest=sha256:df3fe5b76385cfeca471bc9dd7910bf93fc91e8999c7802d0e99c13fd8ad48f5

Observation a7d926ff-3902-49d9-b2bb-8aa04b5238fd · outbound

This paper cites Variational quantum algorithms.Nat.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Variational quantum algorithms.Nat

Reference 8

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source=pdf_text observed=2026-08-01T04:37:03.456759Z digest=sha256:21bb33b1b7689b82f3bebd047f9bab980b16000430cf7b5a67fc9ce6215be23a

Observation 29371bce-50af-406e-a8f2-77cda9f8d63c · outbound

This paper cites Algorithms for learning kernels based on centered alignment.J.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Algorithms for learning kernels based on centered alignment.J

Reference 9

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source=pdf_text observed=2026-08-01T04:37:03.502333Z digest=sha256:c82e89b2478dbb8e7dc948a03eb96be563d5b3d4fcff6aa75201a0c54e14d56c

Observation 41d685a0-89fc-4831-a1d0-017399cfd7ed · outbound

This paper cites On kernel-target align- ment.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support On kernel-target align- ment

Reference 10

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source=pdf_text observed=2026-08-01T04:37:03.552496Z digest=sha256:8ebd9998c6c063ed34b6f0d33ce27ec3a45b3467097b9c17dc9340292ac62ff2

Observation b83f69ff-f0e0-49f4-9b44-456a003fd0eb · outbound

This paper cites Quantum generative adversarial networks.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Quantum generative adversarial networks

Reference 11

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source=pdf_text observed=2026-08-01T04:37:03.600664Z digest=sha256:7739911078a39edda07d09716cea90496393bd35b7ccdcd3a545e93ebe14e54e

Observation c1e8b4ec-4c3d-43a4-a733-a0c57f75684b · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Convolutional neural networks on graphs with fast localized spectral filtering

Reference 12

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source=pdf_text observed=2026-08-01T04:37:03.660856Z digest=sha256:4c58623037242238acfc702375e6993227002f2c02bafa50d96c85698e2b608d

Observation 28f207d8-a96d-4ffb-b372-49cde392881a · outbound

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

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Classification with Quantum Neural Networks on Near Term Processors

Reference 13

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source=pdf_text observed=2026-08-01T04:37:03.708623Z digest=sha256:a4cd2333085e95da9e3fa72208ce86e6f3156088e8a4dbfa30f3b6274c80cc7d

Observation 50f93159-3caf-4173-87dd-adbcb9ff2e87 · outbound

This paper cites A theory of multineuronal dimensionality, dynamics and measurement.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support A theory of multineuronal dimensionality, dynamics and measurement

Reference 14

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source=pdf_text observed=2026-08-01T04:37:03.748979Z digest=sha256:0cc328c0fcd461971e9f302c09e0c7f854a1958205f96c445b3607e0ead7e36b

Observation 676f7a43-6246-4ec9-bb53-e02b3c2a44c2 · outbound

This paper cites Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics

Reference 15

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source=pdf_text observed=2026-08-01T04:37:03.786239Z digest=sha256:5f336fb341f267ba24dc726a42948ca5fed15d275e2ecb77336267539a756003

Observation cac68981-7b14-4410-9d09-af05aa516621 · outbound

This paper cites Practical hamiltonian learning with uni- tary dynamics and gibbs states.Nat.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Practical hamiltonian learning with uni- tary dynamics and gibbs states.Nat

Reference 16

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source=pdf_text observed=2026-08-01T04:37:03.810678Z digest=sha256:e787432bdee188f4e7242c1d7c2ed3fe56a603222375628fc404777379f6145b

Observation 8f214841-c834-46fa-ab47-c3b06ae68c07 · outbound

This paper cites Efficient token mixing for transformers via adaptive fourier neural operators.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Efficient token mixing for transformers via adaptive fourier neural operators

Reference 17

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source=pdf_text observed=2026-08-01T04:37:03.848903Z digest=sha256:c3b5fd6159849325a3fbe98ff67ca486ecf252010ada9c375c3a4b3e4bd5386e

Observation 4c85ca6b-2aa0-4b67-8c5b-532c93ae7356 · outbound

This paper cites Learning quantum hamiltonians from high- temperature gibbs states and real-time evolutions.Nat.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Learning quantum hamiltonians from high- temperature gibbs states and real-time evolutions.Nat

Reference 18

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source=pdf_text observed=2026-08-01T04:37:03.890605Z digest=sha256:2166b98746ab9fec0e5f244392a88a767089b02a9aa0a13d77edb381d26dcbd9

Observation 6cebf912-445e-4bcf-861e-fc4c729ef109 · outbound

This paper cites Ansatz-free hamiltonian learning with heisenberg-limited scaling.PRX quantum, 6(4): 040315, 22 October 2025.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Ansatz-free hamiltonian learning with heisenberg-limited scaling.PRX quantum, 6(4): 040315, 22 October 2025

Reference 19

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Observation 4c78f48b-3c8a-4559-be12-a6aedcf52cb4 · outbound

This paper cites Experimental quantum generative adversarial networks for image generation.Physical Review Applied, 16(2), August 2021.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Experimental quantum generative adversarial networks for image generation.Physical Review Applied, 16(2), August 2021

Reference 20

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Observation 7c6319e8-bab5-4785-b2ef-2a6415711304 · outbound

This paper cites Let quantum neural networks choose their own frequencies.Phys.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Let quantum neural networks choose their own frequencies.Phys

Reference 21

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source=pdf_text observed=2026-08-01T04:37:04.032574Z digest=sha256:609e6b10a06f4d8adae80c5cc0c36f4ca5262a443322eb8e807d05b3086ee707

Observation e2946057-11d8-4f59-8850-8ea673fe2060 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Adam: A Method for Stochastic Optimization

Reference 22

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Observation 3f79b0f8-bd4e-49ad-b285-7b91acbf73b5 · outbound

This paper cites Similarity of neural network representations revisited.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Similarity of neural network representations revisited

Reference 23

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source=pdf_text observed=2026-08-01T04:37:04.099582Z digest=sha256:891b3d2f7dc749b8f2cf7375503361b76801265509ead3f195d0b9744634d6e6

Observation 72ed6d62-5309-441b-a4e4-ee5e9680bf68 · outbound

This paper cites Neural operator: learning maps between function spaces with applications to pdes.J.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Neural operator: learning maps between function spaces with applications to pdes.J

Reference 24

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Observation 8892bf8e-0ef3-48f5-a85c-58ab5183feb8 · outbound

This paper cites Limitations of the em- pirical fisher approximation for natural gradient descent.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Limitations of the em- pirical fisher approximation for natural gradient descent

Reference 25

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Observation 2272223f-d5a5-462d-8431-ada659bc8185 · outbound

This paper cites Barren plateaus in variational quantum computing.Nat.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Barren plateaus in variational quantum computing.Nat

Reference 26

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source=pdf_text observed=2026-08-01T04:37:04.327554Z digest=sha256:9b1c8849f3ac515d3a111c826e40d49c66f8ca4221cd2117103aacc4c5e6eb07

Observation b3376e6c-7a60-4db6-b26b-14ac2349ae0b · outbound

This paper cites Gradient-based learning applied to docu- ment recognition.Proc.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Gradient-based learning applied to docu- ment recognition.Proc

Reference 27

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Observation fbfed061-d30d-4a9b-8e95-d7eca6ad0911 · outbound

This paper cites FNet: Mixing tokens with Fourier transforms.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support FNet: Mixing tokens with Fourier transforms

Reference 28

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Observation 58382c1c-007e-40c2-9fe3-12246d67089f · outbound

This paper cites Bronstein.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Bronstein

Reference 29

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Observation 4b799f44-71d9-41fa-95d7-f759b498bef7 · outbound

This paper cites Fourier neural operator for parametric partial differential equations.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Fourier neural operator for parametric partial differential equations

Reference 30

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Observation 27fe9b7b-8fa3-49a9-af8a-400cfec62482 · outbound

This paper cites Equivariant machine learning on graphs with nonlinear spectral filters.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Equivariant machine learning on graphs with nonlinear spectral filters

Reference 31

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Observation 40087d90-f3c7-4d58-8c55-53554d87e0dc · outbound

This paper cites The Cost of Removing Tunability in Quantum Data Re-Uploading.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support The Cost of Removing Tunability in Quantum Data Re-Uploading

Reference 32

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source=pdf_text observed=2026-08-01T04:37:05.204024Z digest=sha256:699ab259d03c6069eac7957f250296a194a34b13f26c7ef6acdd30fc27c05092

Observation d6acc502-ae82-4479-931d-015ea0cf4b29 · outbound

This paper cites Arvidsson-Shukur.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Arvidsson-Shukur

Reference 33

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Observation d7427c49-0544-4c9f-aeff-581d39813cc2 · outbound

This paper cites Quantum embeddings for machine learning.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Quantum embeddings for machine learning

Reference 34

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Observation e2dc3e7e-a88a-460c-8c70-642880626cd8 · outbound

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Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Unresolved cited work

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Observation d451b64a-b705-4302-bfb5-778d7d7d15ab · outbound

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Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Unresolved cited work

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Observation 6dd41957-ff27-4a7f-8f68-f515650470f2 · outbound

This paper cites Quantum eigenvalue processing.SIAM J.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Quantum eigenvalue processing.SIAM J

Reference 37

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Observation 5921c0e2-fc72-4c2f-8538-844461392d31 · outbound

This paper cites A unified frequency principle for quantum and classical machine learning.arXiv [quant-ph], 6 January 2026.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support A unified frequency principle for quantum and classical machine learning.arXiv [quant-ph], 6 January 2026

Reference 38

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source=pdf_text observed=2026-08-01T04:37:05.813908Z digest=sha256:667d11298f4a099e78baf9425bd23c1a8d82a2f776ed47128a23342f680e04a4

Observation 6ae2bacf-f167-41bf-96ff-61d16c4ba313 · outbound

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

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Barren plateaus in quantum neural network training landscapes.Nat

Reference 39

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source=pdf_text observed=2026-08-01T04:37:05.817716Z digest=sha256:f166b6aecaf4150182b120b72761a28b018092aea50f97919ca6134d25ae75f1

Observation dd402870-2dc6-42a9-a8c8-005eb5f72a0c · outbound

This paper cites Constrained and vanishing expressivity of quantum fourier models.Quantum, 9(1847):1847, 3 September 2025.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Constrained and vanishing expressivity of quantum fourier models.Quantum, 9(1847):1847, 3 September 2025

Reference 40

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source=pdf_text observed=2026-08-01T04:37:05.821739Z digest=sha256:08425a12280afb65d6f3ba7b8b9f807f7a9a977eeac309f4cf008fc0c19bc201

Observation 602b1099-5410-4a75-80c9-b352cb98d5d5 · outbound

This paper cites Data re- uploading for a universal quantum classifier.Quantum, 4:226, 6 February 2020.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Data re- uploading for a universal quantum classifier.Quantum, 4:226, 6 February 2020

Reference 41

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source=pdf_text observed=2026-08-01T04:37:05.825958Z digest=sha256:ed9c81e58494f4aada73b7932d35613aa1369f067181bc3d54836425610d15d6

Observation ca1b4b1a-032f-4ad4-8318-e09da5c843f5 · outbound

This paper cites Improving language understanding by generative pre-training.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Improving language understanding by generative pre-training

Reference 42

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source=pdf_text observed=2026-08-01T04:37:05.830039Z digest=sha256:f9f3f88723c6333e70254d6e5d864e056f4244828ae69b1840886b971a62a01f

Observation 89c8cf6a-4690-4814-a0d9-f112888bbe4d · outbound

This paper cites On the Spectral Bias of Neural Networks.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support On the Spectral Bias of Neural Networks

Reference 43

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no resolver link, observed 2026-08-01T04:37:05.834038Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T04:37:05.834038Z digest=sha256:c2b9fae6bc80051067daf6e1571d4ffb7bc652fe0d0177fb56c72e346e01ac94

Observation ee71545b-39ca-4332-aa9a-ce6e33925abe · outbound

This paper cites Spectral representations for convolu- tional neural networks.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Spectral representations for convolu- tional neural networks

Reference 44

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no resolver link, observed 2026-08-01T04:37:05.838250Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T04:37:05.838250Z digest=sha256:c9b113989fcb3fcd3e17bb07d40b7f4c80274b5fbbfe2e7317bfcb92f8d441ca

Observation 1c9bf682-f9a2-45f6-a6ed-e0a1cfe33f1d · outbound

This paper cites Representing data on a quantum computer.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Representing data on a quantum computer

Reference 45

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verified exact
doi, observed 2026-08-01T04:39:16.729002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-01T04:37:05.841938Z digest=sha256:74130cf964e9abe717583d9d2689a50ba9cb157522d6ef1d365c7757c1fd321d

Observation 33be1c85-87cd-4f08-a2d4-1d69ecd8c254 · outbound

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

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Effect of data encoding on the expressive power of variational quantum-machine-learning models.Phys

Reference 46

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T04:37:05.845924Z digest=sha256:bfb2f2eb2590f82b92ef95ca070a41e9e3e6dfa62713a28932a6a2cd1e267f0e

Observation 98a63cfb-2c57-48e5-8316-b0b077034973 · outbound

This paper cites SAQNN: Spectral adaptive quantum neural network as a universal approximator.arXiv [quant-ph], 10 February 2026.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support SAQNN: Spectral adaptive quantum neural network as a universal approximator.arXiv [quant-ph], 10 February 2026

Reference 47

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arxiv_id, observed 2026-08-01T04:39:16.577636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-01T04:37:05.849979Z digest=sha256:3b9e596a919413b40bb3086ec544b5016423757163b98eb865b294159d005318

Observation e35ed85e-79a5-4a53-942d-bc1cd7e44515 · outbound

This paper cites Exponential concentra- tion in quantum kernel methods.Nat.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Exponential concentra- tion in quantum kernel methods.Nat

Reference 48

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source=pdf_text observed=2026-08-01T04:37:05.854233Z digest=sha256:8eb3bf1fa47f4aa9a44a5da5eded8d0f26c13f868a6faebdc6dd4e56cf27eab9

Observation 34e9ee94-5340-415b-b5c0-19ebbeadfc4c · outbound

This paper cites Quantum hamiltonian embedding of images for data reuploading classifiers.Quantum Mach.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Quantum hamiltonian embedding of images for data reuploading classifiers.Quantum Mach

Reference 49

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verified exact
doi, observed 2026-08-01T04:39:16.309355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-01T04:37:05.858394Z digest=sha256:575fadf99209f6512c45719bcddc5760ea9792a23eb71bb63ac7a5699403b2c8

Observation d5660b9b-fda0-4cc0-8329-34790ef8f689 · outbound

This paper cites Predictive performance of deep quantum data re-uploading models.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Predictive performance of deep quantum data re-uploading models

Reference 50

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no resolver link, observed 2026-08-01T04:37:05.862456Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T04:37:05.862456Z digest=sha256:77d16d32ffdcf4bc4b68cb182d5842b5facdba12bcc653fa2f05369014d8d702

Observation 505f0c8d-130d-498c-91a8-8c4b4bee147e · outbound

This paper cites Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks

Reference 51

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no resolver link, observed 2026-08-01T04:37:05.866323Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T04:37:05.866323Z digest=sha256:047ff59b808e8760158e2e10de33fc91650be67c83baaee65071d358e021f0b2

Observation 04c2fb25-835b-4c2e-a8fe-fd7c838b0617 · outbound

This paper cites apply X to the first qubit and do nothing to the second,.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support apply X to the first qubit and do nothing to the second,

Reference 52

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verified exact
doi, observed 2026-08-01T04:39:16.089587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-01T04:37:05.870356Z digest=sha256:22078e4c504b998daa672f202818aee450a83b4fc1e25ee39e04a63c4ea6f1f3

Observation 529f6fa7-1569-457b-8652-8d21dda7d1bd · outbound

This paper cites Quantum polar decomposition algorithm.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Quantum polar decomposition algorithm

Reference 2020

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no resolver link, observed 2026-08-01T04:37:05.375334Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T04:37:05.375334Z digest=sha256:d36270fab5057ebc051f0b1ab604ecffdc032613e05ecad573c0c0fe566bea79

Observation f162e1a3-5b76-4fd1-a651-30dff15ec3df · outbound

This paper cites Spectral methods: crucial for machine learning, natural for quantum computers?.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Spectral methods: crucial for machine learning, natural for quantum computers?

Reference 2026

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source=pdf_text observed=2026-08-01T04:37:03.267651Z digest=sha256:cdf836a67ea8f8facaf8cb6542ea5640c85ae1e20507fe2aa3e34604e4b81138

Pith citing papers

No inbound Pith citation observations are available.