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Paper Citation Record · LEDGER

Fourier Fingerprints of Ansatzes in Quantum Machine Learning

As of 14 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 2026-08-14T06:32:32.682623+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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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:e214d61b3715ccc5b45c50a9f3e26529e105161f66e0275fb81b58a94d51724d

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=sha256:6ffd898cf0f1a9145b57c871d88c52f0b0178424b268282fe27a1e96a531fac0

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-reported events for the cited work

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source=pdf_text observed=2026-08-05T14:50:33.623885Z digest=sha256:1273bded3fdbbb1e0abd7bf67948fe95e30613834762bc2da3d3614e7701e867

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=sha256:42828784064a01040936892163e53bbb38b181e2781cbdfd9e679ac42ebb8592

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=sha256:1bc0d4a033021468dea241c9184251d50f68ca1ebcbaaf6eb732188b75ea9882

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=sha256:7812eda90cc9528588783a8ead7f32c5124fd7d52b8a4ba2fea310a58b565b59

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=sha256:01e0cd1ce8ee7d332cc8f46722c31d3adeed261798dba4c3b06f8ffa057f312a

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=sha256:14816f42f674bbfd30b3e1717347d850e07fb9661ea851f69fdcee1e2c2709ef

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:fdb086868742fc29df5d427a860071addca4f79aa90c23d7d78d0b28aa6ae80d

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=sha256:84cf5ac9e917ddd22e93a08ef5d8fb56ac4462469e613363155e485012118b8d

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=sha256:04b8bb2b0e7a71f687d0c1b5d38cea55e7aec71a2c13987e837d1dad4f65e1f3

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:d14e97ce03962fa7421dd617985d36f640e1116e8859587904d3fa6e578d68cf

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=sha256:0adb24c3ba3c8892217d0f9775c2d1b4f52036ebafefce0bbc5adb67229373de

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=sha256:246d5aef394e2135d6e12fa8096152d0a3836b24fce4414d42a980782d149548

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:f5c36aaf2e5bbcabbd76ccc4ba06325e1879d6088ecdc3359ccc889c1c1de8d0

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:b70238ce5e5a0d6b092b1e798bcdd767d0681780805ca4de0c20affb2f64a3b0

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

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source=pdf_text observed=2026-08-05T14:50:33.709721Z digest=sha256:3c9f41a35413845393d38603d67d21d035950fc47a922115636c58f12ad2cde3

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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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T14:50:33.716030Z digest=sha256:4f7a782b1af175b52105fbb63b2022d667f2d5fe3fb2ae8c425f9207d24d1de3

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:a12559b69971ec78ba1d0d9f22bb5b25fe8155472bb6da9403442806bce72b4e

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=sha256:6181efdb321cc30ed040ed4ac5a04ce2434be18634d60367495e94b43e0dbd58

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:de6fe21d75ab54ea9231eb3a199991fca94ba40f4f026169489417913024f2b5

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=sha256:813ef2a747c7cf77002b38167619d2752e067d093e02f1acebd459f9684cf3c4

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:f319202b398e4d50fbe35bbfc453996ab7c8c4df49d593c1842846b1000602b9

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=sha256:61ceb65a93b18998dd20ced284fda9c09114ded9b12419dac694ceddb9920aa7

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=sha256:93601f0a799f47fc80d8efc9cd3ee9a9db1805c4f0da01a467a95e216cd1578c

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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metadata mismatch
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T14:50:33.764173Z digest=sha256:ffe5bdd075756fbb5972c189872d4c76a7eb38c6a9706bd15912a3b6cdeda988

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=sha256:39a50ecd6126617d233b638aae66570976baca142fb2c6876a7654a983a1f4f8

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=sha256:564b17f38841662f4a570b852265614c909a57f396be32b128ddf79f247c34cf

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:c85de70d0d6035d6c1daf72ff45e2ae9a4134c66d5ce442dcee514cf9168f146

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-reported events for the cited work

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source=pdf_text observed=2026-08-05T14:50:33.784032Z digest=sha256:5f235c2829b3e08317f7bcec24bfd9e19484954e33c886e8897f6fedc7bc8c09

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:c90bddd476a59d9f5d853b2e11310de50fc68f5720536fa7b82222c98497c0d5

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:e83fcb3c65092e6451843c4c8832d29a2dc1df4bf0e17d7d58e47f1acbc5de7b

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

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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 2026-08-14T06:32:32.682623+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T22:25:56.227151Z digest=sha256:61398f2491e77f9b9ccaf7afc11d6e0f4aec1684935aff4d15f9bdb2df66d462

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=sha256:4c83132b0297d36cf40391e91f6e11479ce0ef6394de73275a7e452008aa7e30

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:30:47.084809Z digest=sha256:38df2de3fb50fc2645fe0bd914f408a15df8dbd5618757bfd5fb8078f840a1a6