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Paper Citation Record · LEDGER

Fourier Fingerprints of Ansatzes in Quantum Machine Learning

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 6 inbound Pith citation observations for arXiv:2508.20868.

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

pith.paper-citation-record.v1
2508.20868 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:50:33.795622Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:30:47.084809Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact3
  • verified fuzzy12
  • unresolved19
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 50f36602-c03b-4909-a895-1d8ec0782813 · outbound

This paper cites Parameterized quantum circuits as machine learning models.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Parameterized quantum circuits as machine learning models

Reference 1

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Observation 0670831c-fc4b-448c-b156-4c4ad53824a6 · outbound

This paper cites The Standard Deviation of the Correlation Coefficient.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning The Standard Deviation of the Correlation Coefficient

Reference 2

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source=pdf_text observed=2026-08-05T14:50:33.601033Z digest=sha256:6a3682722f48335512dcfb7727a390ec013c096cff736cc3fb61d50c8bb5ba4e

Observation da5dfb73-2aed-46b1-ac5b-d2d587f5987d · outbound

This paper cites Fitting the multitemporal curve: A Fourier series approach to the missing data problem in remote sensing analysis.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Fitting the multitemporal curve: A Fourier series approach to the missing data problem in remote sensing analysis

Reference 3

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source=pdf_text observed=2026-08-05T14:50:33.607430Z digest=sha256:9a6f0cec615e5173b3ebdf1481d3eec3d7fef143a24228153c20ed4d62567744

Observation 24a13e17-384f-49b3-b2fd-d56f9351ed98 · outbound

This paper cites Challenges and opportunities in quantum machine learning.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Challenges and opportunities in quantum machine learning

Reference 4

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source=pdf_text observed=2026-08-05T14:50:33.612790Z digest=sha256:8a350c24cf591ae969bf4e7d846d10c5d801497cd36351c03824f49308cf1058

Observation aba32edb-3c67-42b3-acfe-33b40fb30cd0 · outbound

This paper cites Quantum ensemble learning with a programmable superconducting processor.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Quantum ensemble learning with a programmable superconducting processor

Reference 5

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source=pdf_text observed=2026-08-05T14:50:33.618740Z digest=sha256:6b02ced863c4491d679530b765e4c93d3fc3e6c82c1fb7531668020c151eaa5a

Observation 44cd5b46-1471-44ea-baf7-143980aafffc · outbound

This paper cites An Algorithm for the Machine Calculation of Complex Fourier Series.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning An Algorithm for the Machine Calculation of Complex Fourier Series

Reference 6

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source=pdf_text observed=2026-08-05T14:50:33.623885Z digest=sha256:70087e7e3649e50c81b1b49b73cdc53f8aa1f553b042ea101fdfb813b6865722

Observation a253dae2-3866-4bb6-bc31-32bf08ff2f6d · outbound

This paper cites Spectral Bias in Variational Quantum Machine Learning.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Spectral Bias in Variational Quantum Machine Learning

Reference 7

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source=pdf_text observed=2026-08-05T14:50:33.630935Z digest=sha256:fd26b29d246170b74f88d74e88a26eb2007a824d63fc34441405c43c42489180

Observation f4d137b5-b94d-4fa9-91f6-646dd38c78ee · outbound

This paper cites Out of Tune: Demystifying Noise-Effects on Quantum Fourier Models.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Out of Tune: Demystifying Noise-Effects on Quantum Fourier Models

Reference 8

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source=pdf_text observed=2026-08-05T14:50:33.635893Z digest=sha256:bd22ce270e1c240186005b7617d212bc11bd0dfaedffb08ed9db0ecc61aac581

Observation 0b26d0d1-a410-4163-aac9-e8593423adc9 · outbound

This paper cites Statistics (international student edition).

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Statistics (international student edition)

Reference 9

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source=pdf_text observed=2026-08-05T14:50:33.641484Z digest=sha256:abd10bc57777b0c4de6a1bc6eeb22828c0ffec3263e9e4d7271d78e866d9b931

Observation 703ce496-8e6e-4bfb-b9a2-ccd8fbf53a3d · outbound

This paper cites Quantum machine learning in high energy physics.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Quantum machine learning in high energy physics

Reference 10

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source=pdf_text observed=2026-08-05T14:50:33.646296Z digest=sha256:c8f55562cf15aaae8247bbc8b0babe4c8dc3d1eecc9543f5e298ed64e4c22418

Observation 11db3174-c3a4-4fa0-87b9-a6de84adaa5d · outbound

This paper cites Robust Fourier and polynomial curve fitting.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Robust Fourier and polynomial curve fitting

Reference 11

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source=pdf_text observed=2026-08-05T14:50:33.651523Z digest=sha256:a4ce426be1cc75f8538369e5ac5e04b42f68c3ad8fa4b0435e95e87fed62277e

Observation 11f16175-2753-4e83-8fbc-64643fc262e8 · outbound

This paper cites Zenodo, June 2025.doi: 10.5281/zenodo.15689696.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Zenodo, June 2025.doi: 10.5281/zenodo.15689696

Reference 12

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:50:33.656585Z digest=sha256:110f2f3fe21b1df559a04d96ad9adb9d4df503718e89a14d9b9f8d7738593691

Observation c1f9136d-045c-4262-85e7-273541e4eb14 · outbound

This paper cites Supervised learning with quantum- enhanced feature spaces.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Supervised learning with quantum- enhanced feature spaces

Reference 13

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source=pdf_text observed=2026-08-05T14:50:33.661723Z digest=sha256:6e37305c3d1e876b9652e8d097f8269d25aaed863617580ff3f52319e7bf18ef

Observation 3006a554-495a-4036-a3e9-ef00da6ab02f · outbound

This paper cites Potential of quantum scientific machine learning applied to weather modeling.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Potential of quantum scientific machine learning applied to weather modeling

Reference 14

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source=pdf_text observed=2026-08-05T14:50:33.666797Z digest=sha256:5b64a70e6f76902f01c9fa653268ecc1aeb1fdafad401199fd6f91ebe0d82f8e

Observation 9ce0f08c-bcad-4a70-a8e8-ba14d64f6628 · outbound

This paper cites Let Quantum Neural Networks Choose Their Own Frequencies.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Let Quantum Neural Networks Choose Their Own Frequencies

Reference 15

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Observation 5685a824-630d-4d8e-98b4-251fa20422ac · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Adam: A Method for Stochastic Optimization

Reference 16

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source=pdf_text observed=2026-08-05T14:50:33.679190Z digest=sha256:c083ecc665eddc8111e26aaae833ce530aa48604e7541d2e24f5454eaed48fde

Observation 2c83c0ba-d949-4a5c-80b3-1e84eb881a3b · outbound

This paper cites On Information and Sufficiency.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning On Information and Sufficiency

Reference 17

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source=pdf_text observed=2026-08-05T14:50:33.685245Z digest=sha256:2b6e121a24b8e16def19d3901125e7f37bfa296aa334e1b169bb095ae3bd7311

Observation c9dfd345-6bef-46e0-b1b9-b5bdf1831aa9 · outbound

This paper cites Protocols for trainable and differentiable quantum generative modeling.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Protocols for trainable and differentiable quantum generative modeling

Reference 18

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source=pdf_text observed=2026-08-05T14:50:33.691526Z digest=sha256:c45fb21e409fc6c457a0205538f0321b931fd3a78ee7e330d04075f63729c9fd

Observation 17bec832-9dd1-4f5c-940c-9704556b2d08 · outbound

This paper cites Quantum embeddings for machine learning.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Quantum embeddings for machine learning

Reference 19

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source=pdf_text observed=2026-08-05T14:50:33.696694Z digest=sha256:9c3a1f2aefe0591ce16bbc8ffa3ccc5c0ec2a4269a2eb0e010ab4f4c61d34161

Observation c70971d8-cffa-40df-a982-6be507d17e7f · outbound

This paper cites Constrained and Vanishing Expressivity of Quantum Fourier Models.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Constrained and Vanishing Expressivity of Quantum Fourier Models

Reference 20

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source=pdf_text observed=2026-08-05T14:50:33.702664Z digest=sha256:06a7dc7751e6f6da23763efbe45e7d2f4b64812b51b3bd9b4ea1e19d137336e9

Observation 4c77a16e-8e1c-4784-9352-07cbd384f5e2 · outbound

This paper cites Quantum circuit learning.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Quantum circuit learning

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:50:33.709721Z digest=sha256:ab658a69c16a04f9fe8cbd2050a1b5530ffee631803e454913c1bada4ed6492d

Observation 3658bca6-431e-402a-a551-c3ad5044a011 · outbound

This paper cites Quantum data learning for quantum simulations in high-energy physics.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Quantum data learning for quantum simulations in high-energy physics

Reference 22

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source=pdf_text observed=2026-08-05T14:50:33.716030Z digest=sha256:4cb3e4e6dd28577b74a73d861ab954389dedc37566837eb314eaefcd0f61ad1e

Observation 40761b21-4dfe-4cf6-8239-e440da8a264e · outbound

This paper cites Fourier expansion in variational quantum algorithms.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Fourier expansion in variational quantum algorithms

Reference 23

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source=pdf_text observed=2026-08-05T14:50:33.722517Z digest=sha256:405cd9a4bc22eaab7ce9305c02ded9788f6865ed9f6f2131e32f6ae23db08ec0

Observation 14cace88-970c-4d6a-8ec7-e4a561259689 · outbound

This paper cites Experimental quantum end-to-end learning on a superconducting processor.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Experimental quantum end-to-end learning on a superconducting processor

Reference 24

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source=pdf_text observed=2026-08-05T14:50:33.728752Z digest=sha256:43305001d3e5eacae2abf0ebff4b9774fb9053515a568f6934724507853bc9c2

Observation f4737e91-a4ee-42c8-b312-da80e84ceac0 · outbound

This paper cites Generalization despite overfitting in quantum machine learning models.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Generalization despite overfitting in quantum machine learning models

Reference 25

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source=pdf_text observed=2026-08-05T14:50:33.734623Z digest=sha256:efc2a8a42e5e1e955d6caa4626dcddbe0639ce03e6d4cbe6504747e4d39416fe

Observation 19f906a0-8feb-4fc5-bd1c-5d7ff2ae0085 · outbound

This paper cites A Lie Algebraic Theory of Barren Plateaus for Deep Parameterized Quantum Circuits.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning A Lie Algebraic Theory of Barren Plateaus for Deep Parameterized Quantum Circuits

Reference 26

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source=pdf_text observed=2026-08-05T14:50:33.740779Z digest=sha256:2f3c2cb9c58dfd69cf83ffad02225266a5c6e28a6243bb8f88029180790b9617

Observation 25881282-33ea-452d-abee-1cb8de193ad2 · outbound

This paper cites Circuit-centric quantum classifiers.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Circuit-centric quantum classifiers

Reference 27

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source=pdf_text observed=2026-08-05T14:50:33.746475Z digest=sha256:0fd0eca409746056d838d4264a1a23d3611ea14aed45927444e07ef1e265a8f2

Observation 14f901c6-d880-469e-ad6b-e3a83425d2da · outbound

This paper cites The effect of data encoding on the expressive power of variational quantum machine learning models.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 28

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source=pdf_text observed=2026-08-05T14:50:33.752721Z digest=sha256:3f66b25fccbfcb866c640d235c19bfdc5c58c56df0dac089a5f1c24c8cd5102a

Observation 9e0fc0a3-7f37-47f4-a573-d1b49726140c · outbound

This paper cites Particle track reconstruction with noisy intermediate-scale quantum computers.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Particle track reconstruction with noisy intermediate-scale quantum computers

Reference 29

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source=pdf_text observed=2026-08-05T14:50:33.758794Z digest=sha256:82d786f6b1c1f1e87133572ad2b2bcbfbeb37f70ee5158dbf8c28f14f14d9606

Observation b50afb52-d11a-4496-8be4-9c4a0a214e4f · outbound

This paper cites Communication in the Presence of Noise.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Communication in the Presence of Noise

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:50:33.764173Z digest=sha256:a51aa68b9705dd6a533b2e272ce5a9c97895207efcef3920e9cbfca525fbd96f

Observation 34de0ca2-511e-4c69-8627-0d3ba68e911f · outbound

This paper cites Exponential data encoding for quantum supervised learning.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Exponential data encoding for quantum supervised learning

Reference 31

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source=pdf_text observed=2026-08-05T14:50:33.769284Z digest=sha256:d8207a4a70283333bddffd9d0c312be0b7080bf87219fd2855c5526da6f4af1f

Observation bf2dd2cd-d03d-4d90-a1ec-e52591cd0d43 · outbound

This paper cites Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hybrid Quantum-Classical Algorithms.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hybrid Quantum-Classical Algorithms

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:50:33.774139Z digest=sha256:4d66a84fb1fecb6d9eafeda8ae3dd1db355ad35249b6aefae431cbade1551f1c

Observation 8ede98fd-5d79-466f-8f79-0d1f0a50db1e · outbound

This paper cites an unresolved cited work.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-05T14:50:33.779111Z digest=sha256:48d7569d941c0e393784d2dc59553910115ae01864471a68b606b8ba31e43205

Observation 5046354f-7c1d-4901-8bc6-5c82878ad0e7 · outbound

This paper cites Potential and limitations of random Fourier features for dequantizing quantum machine learning.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Potential and limitations of random Fourier features for dequantizing quantum machine learning

Reference 34

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source=pdf_text observed=2026-08-05T14:50:33.784032Z digest=sha256:fd02a782fc6f8cc6d111ac035a7bdd6238cd56653809c1328004c8d169bd1e54

Observation 5c8ec4c8-cdae-43f8-b995-1f57ef633bda · outbound

This paper cites Particle Track Reconstruction with Quantum Algorithms.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Particle Track Reconstruction with Quantum Algorithms

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:50:33.789784Z digest=sha256:abcc7a0629709b1f9f4b6776557a251c61c2febc0a4aa6e4d76e15cb9671d95a

Observation 36cd5a1e-230d-4c4e-a399-3fe3b1c64cab · outbound

This paper cites Scherer.Fourier Analysis of Vari- ational Quantum Circuits for Supervised Learning.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Scherer.Fourier Analysis of Vari- ational Quantum Circuits for Supervised Learning

Reference 36

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source=pdf_text observed=2026-08-05T14:50:33.795622Z digest=sha256:a594ebf0f82bbdce5d0de75d4d734d247f910a8f0e953ce2b618631904aa7e74

Pith citing papers

Observation afa5e1d3-d039-433c-b2a0-40e86d3928ba · inbound

Quantum entanglement provides a competitive advantage in adversarial games cites this paper.

Quantum entanglement provides a competitive advantage in adversarial games Fourier Fingerprints of Ansatzes in Quantum Machine Learning

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 647c495c-936c-443e-9692-944ff05ab014 · inbound

DAGAF: A directed acyclic generative adversarial framework for joint structure learning and tabular data synthesis cites this paper.

DAGAF: A directed acyclic generative adversarial framework for joint structure learning and tabular data synthesis Fourier Fingerprints of Ansatzes in Quantum Machine Learning

Reference 57

Resolution
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no resolver link, observed 2026-07-13T10:08:12.401078Z

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source=pdf_text observed=2026-07-13T10:08:12.401078Z digest=sha256:3176076bfa4afbf95498e6044a95029fde88adf8a3e88dc3a99c042e8618aae7

Observation dbd4a192-5442-462e-8e4a-6eb5a257b5b5 · inbound

Beyond Gates: Pulse Level Quantum Fourier Models cites this paper.

Beyond Gates: Pulse Level Quantum Fourier Models Fourier Fingerprints of Ansatzes in Quantum Machine Learning

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-08T20:24:09.327295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T16:21:01.344890Z digest=sha256:0a4d72a22f42d1539cd1389da97c32168c42aa78b883b6a3bdaac3278079a996

Observation 72b4a086-958e-4eeb-a6f5-7b8f5b9ae29a · inbound

Trainable Quantum Spectral Models for Partial Differential Equations cites this paper.

Trainable Quantum Spectral Models for Partial Differential Equations Fourier Fingerprints of Ansatzes in Quantum Machine Learning

Reference 16

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metadata mismatch
arxiv_id, observed 2026-06-28T22:32:44.597467Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T22:25:56.227151Z digest=sha256:12946ebc460b3d5b386b32c8fd27d642cbe75331f496b0ec63287600f6e323cd

Observation b192be58-1aba-445b-b542-e537b03f84d2 · inbound

Inherent interpretability provides inherent value in quantum machine learning cites this paper.

Inherent interpretability provides inherent value in quantum machine learning Fourier Fingerprints of Ansatzes in Quantum Machine Learning

Reference 70

Resolution
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no resolver link, observed 2026-08-02T03:39:48.281250Z

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source=pdf_text observed=2026-08-02T03:39:48.281250Z digest=sha256:a90a0b328c5344f279108079314d893abd94343976e58303627fa1741412b491

Observation 3db6ea55-658a-4cf6-a8ba-95ef0838f7b0 · inbound

Hybrid Quantum Neural Networks: Theory, Implementations, and Applications cites this paper.

Hybrid Quantum Neural Networks: Theory, Implementations, and Applications Fourier Fingerprints of Ansatzes in Quantum Machine Learning

Reference 120

Resolution
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no resolver link, observed 2026-08-06T00:30:47.084809Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T00:30:47.084809Z digest=sha256:ee86b668e1d1517f9b88ef20402c0ef85faa4437fcdebdbcb6f6ad5053e4ec6f