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Paper Citation Record · LEDGER

Fourier Fingerprints of Ansatzes in Quantum Machine Learning

As of 9 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 2026-08-09T06:31:02.800959+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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source=pdf_text observed=2026-08-05T14:50:33.594999Z digest=sha256:ce716130a8949e7bf88034beab6301e57ec354aaadc4af29e58cb17aae23cdbc

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=sha256:772746169f7093e6bcb863279406b75cc09aedd2ce5410b0cc7dd37f8dc6be69

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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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:a5d776820fd664a55415b7240399451ba8cedd05445a7cd687cf8800979718e5

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:a3277206e94a4194fca50296507f6fdbb5f768e94326144878a4e6861b53e932

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=sha256:741219c2e3af615bda8a6cc36fe533b23349b64171e3bfceae24804e9e2dd42b

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:e16408f8e734f8ba18b1cd4b7ecfbb965c05c14bade9c6d9ef69d01396aa8233

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=sha256:5da8fec51ff09ecb4d50d98e360520bd8823e88b6c6f5006a885f888d97d10c4

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=sha256:5803c06b818215c28ff18eaa705d952ae44040c9992a270a4115593b63b6af26

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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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=sha256:0fd96fbe9479ffeccb33081b29b0e1d91baa63b0fca086e4cecdd8ec106959b3

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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source=pdf_text observed=2026-08-05T14:50:33.656585Z digest=sha256:1b6cea990cfd53280611a23e5cf2d8295f6579fd20bbb6298eb4bf0853374291

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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=sha256:1d0f32c9ed5419d5ee3e8a8dbd03acf8cdd2969b2a1b4eb2ee4389116bca25eb

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:db771018a3770aeaf8ddb47591912bd903341e873e483da5f3fafdac6c333e67

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:ea55dacd47a67cbb76c848439677641e086b50aff5bb5b7521feb5fde05eda76

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T14:50:33.691526Z digest=sha256:61897e4a3d908cc431afb1d04b017dc43405115c3f3b72fbe21b13c24853598d

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=sha256:4a24e9c3fb8051a7b79d67890f0ee3e5c1278c7f1b74c053691e5b79b1eb44d7

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=sha256:8feafbaae10bfbb5127813e731901dbd4e5a1712be1f5338bdd4e0f23d28ca51

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

source=pdf_text observed=2026-08-05T14:50:33.709721Z digest=sha256:96bd00e3cbf0be34c9f4c77a48bf88a22bd7817cbfb4d610d6e1f7e716802fc6

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:c60259720f47ef635fc694a8b05c96cc9882b76d4dccc391aef9c08e5a137d0e

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:f9587dc0f47b2d2b6f8ca582d598810d18f22be010195b0db1eff2fa6ed92cef

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=sha256:4f3aa6177392f5cdd42585f7afb29d6717573711ca1a289b3582a8d60d1b0691

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:a3ac4c34d58e3bb67823fb8bb1b4ccf10213c16953d0ae2361d36ab6cf7d27d0

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=sha256:395ca2585face213493187d10cd16bff63300e4a985942b276e2b3c51e6991c6

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=sha256:324dd19cef76cc279d35d0b6ff9903aa7c48df7fde171e336052314a24a24efe

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=sha256:24b5711966afcc40216466edb62b21338620ed81505adeff77b41b9904d18435

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:a39124f9ee5bf1a1d4ba629df5df0ec15ea7b068bda419289e9883c832601e0e

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

source=pdf_text observed=2026-08-05T14:50:33.764173Z digest=sha256:1aa2ba177575df69008f790cab5232e5e92eb0e63ef24518b24a6f489d1e344a

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=sha256:64cf1d797ebd49e0396003dfff3afd0818f94b815f540aed5436b3a051b17113

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

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source=pdf_text observed=2026-08-05T14:50:33.774139Z digest=sha256:cb7de6a1b4fd052c156da550b4a8523a8e5f01ca7b40f1171e7751cc25ab8236

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:ea7848237869f1297cea1e6d52bcbb31b8de5202ebdd9bc594605cd87de5c07e

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=sha256:40510c02a779b45929f9e16aeace3d79e0d3a895322461ebc37d5099fb21070f

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

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source=pdf_text observed=2026-08-05T14:50:33.789784Z digest=sha256:f5f40ed64b1d3b6d67bfb0621383a1f87bf33cd068027d947053d4c5887c7d06

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:ce62d979864d4ca91263e5b72af6f96862e42f14176f34c54b1302c37a376564

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T10:08:12.401078Z digest=sha256:3d4ce4524508b1eccfd849583ff0168b5b32b2181f9822d54f7e67e196f497f3

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

source=pdf_text observed=2026-05-08T16:21:01.344890Z digest=sha256:c41500e2bba5a785905761e1ce6893e45d77827fa08c4eb6a175a4b3c5505cfe

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

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

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=2026-06-28T22:25:56.227151Z digest=sha256:09497981e232108e8a0f97d0e7dd5b21dd379c85e0c92065d4120d7322e19008

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:39:48.281250Z digest=sha256:3be6ad44b9942a05a9f691dadafd2c83f00039865d200bd20ccfc2d375a029b2

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:30:47.084809Z digest=sha256:336092958c47e0bdca7c8eb438bdc7f28c146460aa09c1fef8e3db8e9b2a527c