Paper Citation Record · LEDGER

Is data-efficient learning feasible with quantum models?

As of 20 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2508.19437.

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

pith.paper-citation-record.v1
2508.19437 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:53:43.688200Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:20:58.270447Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T13:25:26.647101Z

Reference resolution

32 of 32 outbound references displayed

verified exact4
verified fuzzy6
unresolved15
parse uncertain0
malformed identifier7
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e19358e-1201-4311-91d7-9d1a0bc8526c · outbound

This paper cites Quantum Convolutional Neural Networks are Effectively Classically Simulable.

Is data-efficient learning feasible with quantum models? Quantum Convolutional Neural Networks are Effectively Classically Simulable

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:38.127939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00856c1f-4417-4480-a62c-0356c7b84a76 · outbound

This paper cites On the similarity of bandwidth-tuned quantum kernels and classical kernels.

Is data-efficient learning feasible with quantum models? On the similarity of bandwidth-tuned quantum kernels and classical kernels

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:53:45.396558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e619380c-8a4e-4ad9-8648-a5fec7b9d767 · outbound

This paper cites Binary classifiers for noisy datasets: a comparative study of existing quantum machine learning frameworks and some new approaches.

Is data-efficient learning feasible with quantum models? Binary classifiers for noisy datasets: a comparative study of existing quantum machine learning frameworks and some new approaches

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:53:45.018244Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 557b8e70-80dd-4bf5-a0f2-e280a7d32171 · outbound

This paper cites Exploiting Symmetry in Variational Quantum Machine Learning.

Is data-efficient learning feasible with quantum models? Exploiting Symmetry in Variational Quantum Machine Learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:48.431526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a84a1460-737f-4685-bf2a-978c7a7f53eb · outbound

This paper cites Power of data in quantum machine learning.

Is data-efficient learning feasible with quantum models? Power of data in quantum machine learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:38.517691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fccd0033-7d86-4292-bf42-71a8a9a0efed · outbound

This paper cites Neural Tangent Kernel: Convergence and Generalization in Neural Networks.

Is data-efficient learning feasible with quantum models? Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:38.631294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0155b98-e5c4-444d-bea8-3ac4a714d961 · outbound

This paper cites Supervised quantum machine learning models are kernel methods.

Is data-efficient learning feasible with quantum models? Supervised quantum machine learning models are kernel methods

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:38.850743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58923816-b526-4a88-b3c2-0aa5726679f3 · outbound

This paper cites Barren plateaus in quantum neural network training landscapes.

Is data-efficient learning feasible with quantum models? Barren plateaus in quantum neural network training landscapes

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f498249a-fd62-42f8-a026-4cacdb0af9ea · outbound

This paper cites Exponential concentration in quantum kernel methods.

Is data-efficient learning feasible with quantum models? Exponential concentration in quantum kernel methods

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6d97df7-49f7-4003-95b6-39b93146759f · outbound

This paper cites Generalization in quantum machine learning from few training data.

Is data-efficient learning feasible with quantum models? Generalization in quantum machine learning from few training data

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:39.558933Z

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Unavailable: canonical work link unavailable.

Observation 7524b40d-dfd6-4840-ba4f-8662ad99b7d0 · outbound

This paper cites A rigorous and robust quantum speed-up in supervised machine learning.

Is data-efficient learning feasible with quantum models? A rigorous and robust quantum speed-up in supervised machine learning

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c7ff1e4-b802-45a9-8472-2d6b986ea355 · outbound

This paper cites Covariant quantum kernels for data with group structure.

Is data-efficient learning feasible with quantum models? Covariant quantum kernels for data with group structure

Reference 13

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T15:53:48.024985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4ee058f0-2355-492b-8218-854262fb09d0 · outbound

This paper cites The power of quantum neural networks.

Is data-efficient learning feasible with quantum models? The power of quantum neural networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:40.127940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d47e3cf3-2871-4cb2-827b-43ad78d8f310 · outbound

This paper cites The inductive bias of quantum kernels.

Is data-efficient learning feasible with quantum models? The inductive bias of quantum kernels

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:47.631594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bd190a88-a7b6-431a-92a9-4d0c0a252ff3 · outbound

This paper cites Contextuality and inductive bias in quantum machine learning.

Is data-efficient learning feasible with quantum models? Contextuality and inductive bias in quantum machine learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:40.586220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b4f0a57-9cb5-4d27-856b-61c2d288ee00 · outbound

This paper cites Effect of data encoding on the expressive power of vari- ational quantum-machine-learning models.

Is data-efficient learning feasible with quantum models? Effect of data encoding on the expressive power of vari- ational quantum-machine-learning models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:40.752994Z

Source-reported events for the cited work

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Observation 3ba98c2a-2234-4b78-af3a-a2caadc8de98 · outbound

This paper cites Understanding deep learning (still) requires rethinking generalization.

Is data-efficient learning feasible with quantum models? Understanding deep learning (still) requires rethinking generalization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:40.924676Z

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Observation 9936622e-c596-4030-bc36-f5430ca08ac4 · outbound

This paper cites Understanding quantum machine learning also requires rethinking generalization.

Is data-efficient learning feasible with quantum models? Understanding quantum machine learning also requires rethinking generalization

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:47.217587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 09336bde-5db5-48d0-b505-c2fcf46ab52c · outbound

This paper cites Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models.

Is data-efficient learning feasible with quantum models? Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models

Reference 20

Resolution: verified exact; raw_fallback, observed 2026-08-05T15:53:44.602647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 90dbd43e-9609-4d39-83e6-0dd8086b6138 · outbound

This paper cites Classical Surrogates for Quantum Learning Models.

Is data-efficient learning feasible with quantum models? Classical Surrogates for Quantum Learning Models

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e578d15-d958-430b-8705-01baf857f46a · outbound

This paper cites Connecting Ansatz Expressibility to Gradient Magnitudes and Barren Plateaus.

Is data-efficient learning feasible with quantum models? Connecting Ansatz Expressibility to Gradient Magnitudes and Barren Plateaus

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:41.654476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a862a7a-6ee0-4019-9025-76f769894c2a · outbound

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

Is data-efficient learning feasible with quantum models? Gradients and frequency profiles of quantum re-uploading models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:41.838766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3964847d-5da1-4843-972c-a199c8756a6f · outbound

This paper cites A hyperparameter study for quantum kernel methods.

Is data-efficient learning feasible with quantum models? A hyperparameter study for quantum kernel methods

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5a7b66f-7256-48a9-b234-904aa948ecfd · outbound

This paper cites Understanding the effects of data encoding on quantum-classical convolutional neural networks.

Is data-efficient learning feasible with quantum models? Understanding the effects of data encoding on quantum-classical convolutional neural networks

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffea75dd-fb7a-4b0f-8336-ddeb1092d0bb · outbound

This paper cites Bandwidth Enables General- ization in Quantum Kernel Models.

Is data-efficient learning feasible with quantum models? Bandwidth Enables General- ization in Quantum Kernel Models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:46.808033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c78cc1bc-ba40-4dc0-8882-d04d58ac3fb2 · outbound

This paper cites Quantum supremacy using a programmable superconducting processor.

Is data-efficient learning feasible with quantum models? Quantum supremacy using a programmable superconducting processor

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5e7594a-1ee4-4cf4-9326-4ef778152d11 · outbound

This paper cites Importance of kernel bandwidth in quantum machine learning.

Is data-efficient learning feasible with quantum models? Importance of kernel bandwidth in quantum machine learning

Reference 28

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T15:53:46.365997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bb4a9512-a158-436a-bb8a-2098291252f1 · outbound

This paper cites Training quantum embedding kernels on near-term quantum computers.

Is data-efficient learning feasible with quantum models? Training quantum embedding kernels on near-term quantum computers

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:42.958355Z

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Observation 3f3a2dd8-9b8f-4e8a-a592-8195b2bed6cd · outbound

This paper cites Clinical data classification with noisy intermediate scale quantum computers.

Is data-efficient learning feasible with quantum models? Clinical data classification with noisy intermediate scale quantum computers

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:45.978306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3bf42959-bba1-4447-8443-b9d15968d261 · outbound

This paper cites The UCI Machine Learning Repository.

Is data-efficient learning feasible with quantum models? The UCI Machine Learning Repository

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:45.685719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3ee12699-0ea9-4c32-9f50-caf275e9d0a9 · outbound

This paper cites Quantum machine learning beyond kernel methods.

Is data-efficient learning feasible with quantum models? Quantum machine learning beyond kernel methods

Reference 32

Resolution: malformed identifier; no resolver link, observed 2026-08-05T15:53:43.538277Z

Source-reported events for the cited work

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Observation f8725ed0-8b21-4864-92e1-831d251a4154 · outbound

This paper cites How Complex is your classification problem? A survey on measuring classification complexity.

Is data-efficient learning feasible with quantum models? How Complex is your classification problem? A survey on measuring classification complexity

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:53:44.181002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 2949d178-bd07-444e-8b4a-496369734eb0 · inbound

Lund Plane to Bloch (LP2B) Encoding for Object and Polarization Tagging with Quantum Jet Substructure cites this paper.

Lund Plane to Bloch (LP2B) Encoding for Object and Polarization Tagging with Quantum Jet Substructure Is data-efficient learning feasible with quantum models?

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-13T01:17:45.717626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.