Paper Citation Record · LEDGER

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives

As of 10 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.15815.

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

pith.paper-citation-record.v1
2607.15815 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:20:48.231226Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

verified exact1
verified fuzzy0
unresolved24
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malformed identifier0
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External citation measurements

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Outbound references

Observation 68bd3a15-9dca-47a9-a06f-3867ed05a786 · outbound

This paper cites Better than classical? The subtle art of benchmarking quantum machine learning models.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Better than classical? The subtle art of benchmarking quantum machine learning models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:45.242218Z

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Unavailable: canonical work link unavailable.

Observation 822312fe-6d95-4826-b29a-45c86e5b77be · outbound

This paper cites Is quantum advantage the right goal for quantum machine learning?.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Is quantum advantage the right goal for quantum machine learning?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:45.331987Z

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Observation 3fc5e1fb-f752-48c4-9345-34cef659d189 · outbound

This paper cites The Inductive Bias of Quantum Kernels.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives The Inductive Bias of Quantum Kernels

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:45.436335Z

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Observation c2aec0ce-6506-43e2-9a90-770c35209fb6 · outbound

This paper cites Power of data in quantum machine learning.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Power of data in quantum machine learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:45.556484Z

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Observation 98dbbc5f-ab04-49f7-a539-d4dc495a9d97 · outbound

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

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:45.678917Z

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Observation 92506aa3-e781-45a7-9930-3e06f90984e7 · outbound

This paper cites Generalized additive models.Statistical Science, 1(3):297–310, 1986.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Generalized additive models.Statistical Science, 1(3):297–310, 1986

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:45.799346Z

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Observation e64eb4e9-13e1-47aa-a927-1649c8cce4fa · outbound

This paper cites Accurate intelligible models with pairwise interactions.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Accurate intelligible models with pairwise interactions

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:45.928060Z

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Observation 506f8401-47ac-4284-bad1-b8bdf9b2e5ce · outbound

This paper cites Friedman.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Friedman

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:46.106791Z

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Observation 87549c2f-6409-4c7d-a88f-9ac9b814d3f0 · outbound

This paper cites Why do tree-based models still outperform deep learning on tabular data?.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Why do tree-based models still outperform deep learning on tabular data?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:46.277851Z

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Observation d4bb5838-0e16-4ba5-9d76-6c7d159fba4b · outbound

This paper cites Random fea- tures for large-scale kernel machines.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Random fea- tures for large-scale kernel machines

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:46.455027Z

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Observation d5a591f6-11e1-416c-b026-83320e3d7973 · outbound

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

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Potential and limitations of random Fourier features for dequantizing quantum machine learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:46.653485Z

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Observation 1ac99cd9-1124-4ae4-bb1d-b731ca2bca81 · outbound

This paper cites Gradients and frequency profiles of quantum re-uploading models.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Gradients and frequency profiles of quantum re-uploading models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:46.812956Z

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Observation 5e01503e-4ded-4917-90c7-d79bcbc93d91 · outbound

This paper cites Long Range Frequency Tuning for QML.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Long Range Frequency Tuning for QML

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:46.989710Z

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Observation f647b16e-aab8-472d-a291-ace7773934ae · outbound

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

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Let Quantum Neural Networks Choose Their Own Frequencies

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:47.136629Z

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Observation a1ac9d7c-0e4f-49fa-bab1-6063596a4b89 · outbound

This paper cites LightGBM: A highly efficient gradient boosting decision tree.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives LightGBM: A highly efficient gradient boosting decision tree

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:47.252968Z

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Observation df7dad2d-0f12-4e88-a1b5-552db57355f7 · outbound

This paper cites XGBoost: A Scalable Tree Boosting System.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives XGBoost: A Scalable Tree Boosting System

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:47.350962Z

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Observation 9cadc33a-7d18-4952-af69-139ddf2a5970 · outbound

This paper cites On the relation between trainability and dequantization of varia- tional quantum learning models.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives On the relation between trainability and dequantization of varia- tional quantum learning models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:47.454880Z

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Observation 196ee0dc-87c6-408c-a782-3a18bf9df829 · outbound

This paper cites The spectral amplitude principle for dynamics of quantum neural networks.arXiv preprint arXiv:2409.06682, 2024.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives The spectral amplitude principle for dynamics of quantum neural networks.arXiv preprint arXiv:2409.06682, 2024

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:47.566250Z

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Observation 8a9b4c98-027a-4470-be42-2a711dc18f77 · outbound

This paper cites A rigorous and robust quantum speed-up in supervised machine learning.Nature Physics, 17(9):1013–1017, 2021.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives A rigorous and robust quantum speed-up in supervised machine learning.Nature Physics, 17(9):1013–1017, 2021

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:47.737773Z

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Observation a5bfdbc0-9013-4261-834e-36ad84d9f6ff · outbound

This paper cites an unresolved cited work.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:47.881024Z

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Observation b01a54bb-8855-4726-9aca-60d5da921966 · outbound

This paper cites an unresolved cited work.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:48.016716Z

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Observation df84dacc-7922-47cc-ae22-2d169c9598c2 · outbound

This paper cites an unresolved cited work.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Unresolved cited work

Reference 22

Resolution: verified exact; doi, observed 2026-08-01T22:23:23.013595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a2a4f161-1401-456f-867d-c01aca893cd4 · outbound

This paper cites Evidence of Quantum Machine Learning Advantage with Tens of Noisy Qubits.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Evidence of Quantum Machine Learning Advantage with Tens of Noisy Qubits

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:48.105856Z

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Observation fe06f03d-23a8-4482-a0b0-97206df75693 · outbound

This paper cites Evidence for the utility of quantum computing before fault tolerance.Nature, 618:500–505, 2023.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Evidence for the utility of quantum computing before fault tolerance.Nature, 618:500–505, 2023

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:48.183126Z

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Observation 10848bb0-2d01-4d01-a571-c3489a346ab5 · outbound

This paper cites Expressibility and entangling capability of parameterized quantum circuits for hybrid quantum-classical algorithms.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Expressibility and entangling capability of parameterized quantum circuits for hybrid quantum-classical algorithms

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T22:20:48.231226Z

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Pith citing papers

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