Paper Citation Record · LEDGER

The effect of data encoding on the expressive power of variational quantum machine learning models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2008.08605.

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

pith.paper-citation-record.v1
2008.08605 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 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 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:53:38.404799Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:20:07.045969Z

Reference resolution

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verified fuzzy0
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External citation measurements

575
arxiv_reference, observed 2026-07-04T19:20:07.045969Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c51576c3-e358-43d0-8785-e6aaf0dab278 · inbound

Long-lived Particles Anomaly Detection with Parametrized Quantum Circuits cites this paper.

Long-lived Particles Anomaly Detection with Parametrized Quantum Circuits The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 34

Resolution: verified exact; doi, observed 2026-05-24T04:53:53.680546Z

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.

Observation 80061662-32bf-497e-8c65-043056659db1 · inbound

New perspectives on quantum kernels through the lens of entangled tensor kernels cites this paper.

New perspectives on quantum kernels through the lens of entangled tensor kernels The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 68

Resolution: verified exact; doi, observed 2026-05-22T22:22:11.583937Z

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.

Observation 07f6df55-116c-479d-a80d-05835b90d3d5 · inbound

Quantum Autoencoder for Multivariate Time Series Anomaly Detection cites this paper.

Quantum Autoencoder for Multivariate Time Series Anomaly Detection The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 21

Resolution: verified exact; doi, observed 2026-05-22T18:31:55.805846Z

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.

Observation 992fce93-744a-4ba9-b7b5-064f611946dc · inbound

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

Out of Tune: Demystifying Noise-Effects on Quantum Fourier Models The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T04:53:38.404799Z

Source-reported events for the cited work

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Observation 185fe402-5cb6-47c8-ba6b-d2df554045af · inbound

Old Rules in a New Game: Mapping Uncertainty Quantification to Quantum Machine Learning cites this paper.

Old Rules in a New Game: Mapping Uncertainty Quantification to Quantum Machine Learning The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:19.473164Z

Source-reported events for the cited work

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Observation de51afc0-d8dc-4117-9dc1-1b0ab2540620 · inbound

A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics cites this paper.

A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 65

Resolution: metadata mismatch; doi, observed 2026-05-18T06:42:26.479200Z

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.

Observation d1fc00e8-8186-43f6-a32e-ad5b36272b9b · inbound

Exploiting biased noise in variational quantum models cites this paper.

Exploiting biased noise in variational quantum models The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T07:56:15.148983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ac18f58-f65f-449f-ab50-87361533ec3c · inbound

Quantum-Enhanced Convergence of Physics-Informed Neural Networks cites this paper.

Quantum-Enhanced Convergence of Physics-Informed Neural Networks The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 24

Resolution: verified exact; doi, observed 2026-05-16T12:10:53.450555Z

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.

Observation 8e9d257c-0606-43cb-bf86-a2e5e092705f · inbound

MerLin: A Discovery Engine for Photonic and Hybrid Quantum Machine Learning cites this paper.

MerLin: A Discovery Engine for Photonic and Hybrid Quantum Machine Learning The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:30:32.356146Z

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.

Observation b23a9161-f431-40cc-8d8e-2871656c4fe8 · inbound

Auto Quantum Machine Learning for Multisource Classification cites this paper.

Auto Quantum Machine Learning for Multisource Classification The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T21:59:15.411922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7c09259-d87b-4d94-aa39-20c7393c1de5 · inbound

Learning PDEs for Portfolio Optimization with Quantum Physics-Informed Neural Networks cites this paper.

Learning PDEs for Portfolio Optimization with Quantum Physics-Informed Neural Networks The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 32

Resolution: verified exact; doi, observed 2026-05-13T19:58:11.878708Z

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.

Observation 3677d0cf-837e-48be-8363-9547fb2fa878 · inbound

Option Pricing on Noisy Intermediate-Scale Quantum Computers: A Quantum Neural Network Approach cites this paper.

Option Pricing on Noisy Intermediate-Scale Quantum Computers: A Quantum Neural Network Approach The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 20

Resolution: metadata mismatch; doi, observed 2026-05-10T03:59:46.914367Z

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.

Observation da4fea3b-c094-4845-b1a6-58ec1ca3f59a · inbound

Local tensor-train surrogates for quantum learning models cites this paper.

Local tensor-train surrogates for quantum learning models The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 33

Resolution: verified exact; doi, observed 2026-05-09T01:49:34.436726Z

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.

Observation 809be7bd-1ee6-425c-9291-cabf5f2f333e · inbound

Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits cites this paper.

Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 40

Resolution: verified exact; doi, observed 2026-05-09T05:35:24.853405Z

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.

Observation 071eb5f9-59ed-4457-9442-8a36ae4d1718 · inbound

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

Beyond Gates: Pulse Level Quantum Fourier Models The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 35

Resolution: verified exact; doi, observed 2026-05-08T20:24:09.450189Z

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.

Observation 5c8bdbfb-e602-4e00-a411-05915df9c881 · inbound

Large-Scale Quantum Kernels for Hyperspectral Data Classification cites this paper.

Large-Scale Quantum Kernels for Hyperspectral Data Classification The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 89

Resolution: verified exact; doi, observed 2026-05-20T12:38:16.581419Z

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.

Observation bb455a32-b591-4fa9-9d23-14cd5e409567 · inbound

Software Between Quantum and Machine Learning -- And Down to Pulses cites this paper.

Software Between Quantum and Machine Learning -- And Down to Pulses The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 9

Resolution: verified exact; doi, observed 2026-05-21T04:34:34.259289Z

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.

Observation b89b2611-2146-4525-9617-3630cf66f1e9 · inbound

Software Between Quantum and Machine Learning -- And Down to Pulses cites this paper.

Software Between Quantum and Machine Learning -- And Down to Pulses The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 9

Resolution: verified exact; doi, observed 2026-06-30T17:44:57.407380Z

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.

Observation b1803533-3536-4a67-90c7-3d68e1de1d44 · inbound

Quantum encodings that preserve persistent homology cites this paper.

Quantum encodings that preserve persistent homology The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:53:24.397811Z

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.

Observation 74fae3cc-2a37-4764-918b-0cbe65fd2b23 · inbound

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

Trainable Quantum Spectral Models for Partial Differential Equations The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 11

Resolution: verified exact; doi, observed 2026-06-28T22:32:43.720100Z

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.

Observation 068020d2-1db0-4f40-a6b2-39059b06ed69 · inbound

Accelerating physics-informed neural networks for full waveform inversion using a hybrid quantum-classical finite-basis architecture cites this paper.

Accelerating physics-informed neural networks for full waveform inversion using a hybrid quantum-classical finite-basis architecture The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 29

Resolution: verified exact; doi, observed 2026-06-28T16:22:22.600889Z

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.

Observation 25e22e96-1dcf-4d5a-9251-1d1dbeb885ad · inbound

Feature Encoding in Quantum Machine Learning: A Survey and Practical Guidelines cites this paper.

Feature Encoding in Quantum Machine Learning: A Survey and Practical Guidelines The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 53

Resolution: verified exact; doi, observed 2026-06-28T05:41:41.246728Z

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.

Observation 3f764843-96e3-4c88-bfbb-52a4b415b04d · inbound

Quantum Kernels are Spectral Tensor Networks cites this paper.

Quantum Kernels are Spectral Tensor Networks The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:29:34.914019Z

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.

Observation b14b2832-5fd8-469a-88a0-02faff03625d · inbound

Recursive QLSTM with Dynamic Variational Quantum Circuit Adaptation cites this paper.

Recursive QLSTM with Dynamic Variational Quantum Circuit Adaptation The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 30

Resolution: verified exact; doi, observed 2026-06-26T08:49:15.563772Z

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.

Observation 55b1750b-7a4b-467b-b3f9-924f9c90e9f7 · inbound

The Cost of Removing Tunability in Quantum Data Re-Uploading cites this paper.

The Cost of Removing Tunability in Quantum Data Re-Uploading The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:20:07.047580Z

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.

Observation c7810ec0-7c4b-41a4-ae9a-38d1d9323cf0 · inbound

A Quantum-Classical Surrogate Model for the Collision Operator of the Lattice Boltzmann Method cites this paper.

A Quantum-Classical Surrogate Model for the Collision Operator of the Lattice Boltzmann Method The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 38

Resolution: verified exact; doi, observed 2026-07-01T05:45:25.890911Z

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.

Observation 8a9313eb-b68e-4508-867e-cf26af25f61f · inbound

Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization cites this paper.

Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 41

Resolution: verified exact; doi, observed 2026-07-02T15:57:06.173927Z

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.

Observation 8ff31c1b-f3c3-4c73-b930-b1d82f3bc62b · inbound

Quantum Topological Data Encoding cites this paper.

Quantum Topological Data Encoding The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-02T03:38:04.958369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b7120e3-ae03-48e8-8e4d-bcc3e1d2d027 · inbound

High-rate qLDPC processors cites this paper.

High-rate qLDPC processors The effect of data encoding on the expressive power of variational quantum machine learning models

Reference 120

Resolution: unresolved; no resolver link, observed 2026-08-03T00:27:29.502993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.