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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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
  • parse uncertain0
  • 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:b0decb703b04c38d4ca98d55184ebdd47ddeea9a1f26d089a76faa9cc7e9a2db

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:ec3c84f1cabb9c13c2fcf6790f6b15f1873a8a80a400e6049c4e020b66360ec8

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=sha256:201adc75401c392d9b6e632d887febd6c8f87948e1d3df2bbe3d71b6520e17f3

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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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=sha256:39dad1767564d874320cf2035cc6bf5a573993834d913c78a0b9ee064093080f

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:defe53aa3bd49ac2b229f51a3efbb05a5116423533992c00a52267b8dff26a03

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=sha256:4eb5ed179a47544bd68eef42629357c13880b40c98c67a9097b5cba226564ffa

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=sha256:9333d7ba589b7ff034d16d07d0b04b43be0b9ac799f1d2d1f7f6f643a644391f

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=sha256:562a681ffd416eda72e184f17d20e78dedf1678ba9276b98dba752991b2b7bed

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=sha256:1062bf03ec4927ab1e3481086243e7afd7ec793b6029c8d4e10d28fabab006a0

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:d821225c65ee49a9c3521429660227fd207f8d691082bae37c3a865b2d3989af

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:dca8a40f8e51ce903aa5b8fc77bec049d189c6fd9821be970babb08109d6e9a0

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=sha256:3a93d74a84be4c985b5e5b3f6bff4a0420f73a5f78c2d0101918d555ba3b0def

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=sha256:25a8d074efdfd854a4ce147e5970f45f4830a2214d66c5ef93f2534c83bd8622

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:d3a873e20cae5abbb09dab37023814664195e2024def75686a1e45b27c45cf27

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=sha256:185cac536d07bbe40112e150f46e42be5693e50380c2aa42a34ed7300a678971

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:f1e495fab0903b060a916bce5ea25d74bad30c9fde1cd5a03fb23bc1fed1ea54

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:a977996080367424dd0bc737b8bba26ff1963d00586337983ee9afa8c42e57ed

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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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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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:cb0fa19b230e8af77d6ffe1a071a777bfb960d9b3ac40d24f8f18a1f5fa8c86f

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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source=pdf_text observed=2026-08-01T04:37:05.760372Z digest=sha256:c6dbef7b9ac9233e7773140a1d666617acf53609c78387bdc2bde85720dd7734

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=sha256:8ae5e8b112703e7aca394e36921544dd4bda22549672cd99169c07461c6839f7

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=sha256:95ec0fe51fc30700ff18a97b7f1a66a056f6d2e9514d3d77542b7a3addffa9fd

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:ec9c1e6e945c50b4ef7a6a91e8c4ad8ae17fb1ec18c66a2a377585c5e59a3daa

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=sha256:062b4b5745dd8dd384717493f3ad54ee451ed1ae5ea8bf8fc327906398e3abd8

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:c88e9da7a54b369fca1b661f097273087a553b2c682eb253ef55d074ffaf402b

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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source=pdf_text observed=2026-08-01T04:37:05.834038Z digest=sha256:d5a9ff3cb47b1413e77610f440be33e7b01d64819d6bf0909a9c3269cac2b29f

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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source=pdf_text observed=2026-08-01T04:37:05.838250Z digest=sha256:6d470ade65ef55ea027070618df5a03d399bae1c775842276f20aad4988aeecb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-01T04:37:05.841938Z digest=sha256:51a2577a69b0e007289bb7bcd010b3301801ab3e4e957cb04d5502380e2fbe9a

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=pdf_text observed=2026-08-01T04:37:05.845924Z digest=sha256:7a94aa9ae9f613d61130720b2445635a44565cce4166f8b530d61eeeae1c5202

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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verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-01T04:37:05.849979Z digest=sha256:6345a5c2de5769796aa4c4e7c80a208de0bd579bf75f95c4ff91ded8a0abb811

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:aa6f4a9149afbf572bcf666a7ca7883202c8c275943bb84b0fb1b6bc281dfdeb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-01T04:37:05.858394Z digest=sha256:ca682cf73f3c64a8a87f95e1840ef04edf1698eec9559ef7bf653f7759305f52

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T04:37:05.862456Z digest=sha256:6e406f077b2519ba3c6c44bd69ba7ad2b26c2f7690c46eb87a225673d46c7802

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=sha256:40f3dce4978c1269baee97484276c3cf91b1af4561b16f0515e707a7a400534e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-01T04:37:05.870356Z digest=sha256:329b20eb7e05f1e8616dd1eeb475402eba0f6c9e410f9c9fcef3530f6abd0fc9

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:37:05.375334Z digest=sha256:3c31e71c221b5189d3cddf45f595b0b059ea08a80cd91e2c0ee195c68b79eaf6

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-reported events for the cited work

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source=pdf_text observed=2026-08-01T04:37:03.267651Z digest=sha256:01a54369e9d60866a0f821161f35b07820663eae95fa484a68bee22e9b596003

Pith citing papers

No inbound Pith citation observations are available.