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Paper Citation Record · LEDGER

Quantum embeddings for machine learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2001.03622.

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

pith.paper-citation-record.v1
2001.03622 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 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 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:03:04.877002Z

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

0 of 0 outbound references displayed

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External citation measurements

71
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 342d04a7-21d1-4f47-aebd-0b8e10ff4478 · inbound

Mean-field limit from general mixtures of experts to quantum neural networks cites this paper.

Mean-field limit from general mixtures of experts to quantum neural networks Quantum embeddings for machine learning

Reference 28

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arxiv_id, observed 2026-05-23T05:32:36.192201Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T05:32:20.919412Z digest=sha256:78ec9dd12807bf4bf8bcbe1b151e1daa8da0a30a20adb36b49212d21791f6f26

Observation c8a49519-2e1e-4dff-bf1f-9536bc26c4e1 · inbound

New aspects of quantum topological data analysis: Betti number estimation, and testing and tracking of homology and cohomology classes cites this paper.

New aspects of quantum topological data analysis: Betti number estimation, and testing and tracking of homology and cohomology classes Quantum embeddings for machine learning

Reference 8

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arxiv_id, observed 2026-05-19T12:07:20.830465Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T12:06:38.050214Z digest=sha256:8e34c81e8af14d0d4a7eec9bee097df6a2c13c656320d2d45ff597124f27249c

Observation 07cf3dc9-1883-4be2-b1ad-a53c83eabc13 · inbound

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential cites this paper.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum embeddings for machine learning

Reference 66

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source=arxiv_source observed=2026-08-07T11:03:04.877002Z digest=sha256:205375551e9067e70772c9e7731f504a4efceff6b03f595b4e570796c31f5086

Observation 0e49750b-29bd-4b5c-a83b-87cd36291794 · inbound

Hardware-Aware Quantum Kernel Design Based on Graph Neural Networks cites this paper.

Hardware-Aware Quantum Kernel Design Based on Graph Neural Networks Quantum embeddings for machine learning

Reference 20

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arxiv_id, observed 2026-05-19T08:02:10.682852Z

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.

source=pdf_text observed=2026-05-19T07:59:06.404337Z digest=sha256:7d853fb33f373ef5f93c4c3a008202808960e73ffab0a6ab57d6b7269d1da93c

Observation 9351f494-baec-4d62-81ff-c4c69ae67c5a · inbound

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses cites this paper.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses Quantum embeddings for machine learning

Reference 8

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no resolver link, observed 2026-08-06T22:22:09.368321Z

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source=pdf_text observed=2026-08-06T22:22:09.368321Z digest=sha256:e4a4b500ae9de9489bd4298418ead9bdec14b5acb3cf47ba4144265f7603e90c

Observation fd2025e1-90f0-4503-9f1d-9096295d84c6 · inbound

QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks cites this paper.

QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks Quantum embeddings for machine learning

Reference 28

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no resolver link, observed 2026-08-06T22:12:37.758196Z

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source=pdf_text observed=2026-08-06T22:12:37.758196Z digest=sha256:ea98653475e3ff1671678fd7fcebad37f44c11e949502e6905a0c5a6a834b94f

Observation 92d23d08-cbf6-4ca0-b4ee-d55bb5446a30 · inbound

Enhanced Quantum behavior on frustrated Ising model: Quantum Approximate Optimization Algorithm study cites this paper.

Enhanced Quantum behavior on frustrated Ising model: Quantum Approximate Optimization Algorithm study Quantum embeddings for machine learning

Reference 34

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source=arxiv_source observed=2026-08-06T18:45:54.731274Z digest=sha256:ca7194f101b59445adcbb6d0fab52cc4bb3caf3fadebe59849b9aa5cddaff5d8

Observation bb08001b-18e0-415c-9fd2-d98b30535a7e · inbound

Efficient classical computation of the neural tangent kernel of quantum neural networks cites this paper.

Efficient classical computation of the neural tangent kernel of quantum neural networks Quantum embeddings for machine learning

Reference 8

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arxiv_id, observed 2026-05-22T13:44:52.897205Z

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.

source=pdf_text observed=2026-05-22T13:43:57.680890Z digest=sha256:5f803a685899870163722c46b348fa90b82c42fdbed417ffad6d48c1bb1cb1ff

Observation dadfe139-a2b7-4aa2-b2f0-dde542031c64 · inbound

Hybrid Quantum-Classical Learning for Multiclass Image Classification cites this paper.

Hybrid Quantum-Classical Learning for Multiclass Image Classification Quantum embeddings for machine learning

Reference 38

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source=pdf_text observed=2026-08-05T16:38:26.490727Z digest=sha256:1efd41df2d13189a482881296bf8300e460b80835ccece7411f40a9f57bc21e7

Observation b679a258-df13-4ac8-8dba-a23fd633bc9c · inbound

Quantum-Classical Hybrid Molecular Autoencoder for Advancing Classical Decoding cites this paper.

Quantum-Classical Hybrid Molecular Autoencoder for Advancing Classical Decoding Quantum embeddings for machine learning

Reference 20

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source=arxiv_source observed=2026-08-05T15:51:00.208344Z digest=sha256:6fc2a46d957cc5d1d6c61ff2dcc62d95f473cf844d9eff51e5b7d168acb6df78

Observation 17bec832-9dd1-4f5c-940c-9704556b2d08 · inbound

Fourier Fingerprints of Ansatzes in Quantum Machine Learning cites this paper.

Fourier Fingerprints of Ansatzes in Quantum Machine Learning Quantum embeddings for machine learning

Reference 19

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no resolver link, observed 2026-08-05T14:50:33.696694Z

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source=pdf_text observed=2026-08-05T14:50:33.696694Z digest=sha256:4a24e9c3fb8051a7b79d67890f0ee3e5c1278c7f1b74c053691e5b79b1eb44d7

Observation b2379e6d-073f-4886-864e-3c3b8246de73 · inbound

Variational Quantum Circuits in Offline Contextual Bandit Problems cites this paper.

Variational Quantum Circuits in Offline Contextual Bandit Problems Quantum embeddings for machine learning

Reference 11

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source=pdf_text observed=2026-08-04T22:01:57.966056Z digest=sha256:8d7db5c598490483e9b8c9a91e09ff08ea0234d28369aede5db65584edfe3810

Observation 76b56b43-7469-4e74-88da-2fe5e1bf59d3 · inbound

Hybrid Quantum Neural Networks for Efficient Protein-Ligand Binding Affinity Prediction cites this paper.

Hybrid Quantum Neural Networks for Efficient Protein-Ligand Binding Affinity Prediction Quantum embeddings for machine learning

Reference 45

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source=pdf_text observed=2026-08-04T17:14:40.325984Z digest=sha256:72ea0c4b5b347115a939159b5956b2c9b4635fb813880fc83b2efbb19e9757f1

Observation aa59a1b4-c032-4e8e-b70e-07eb48c47f70 · inbound

HattriQ: Designing Integrated Gradients for Feature Attribution in Quantum Machine Learning cites this paper.

HattriQ: Designing Integrated Gradients for Feature Attribution in Quantum Machine Learning Quantum embeddings for machine learning

Reference 9

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source=pdf_text observed=2026-08-04T12:48:33.107217Z digest=sha256:c9dccca5f9dc7b6c45d790826a87ccbdc2cb55d42c586b5591fe23a5d890f48a

Observation a8a16817-49f4-4795-a08d-1fcbdf369624 · inbound

Quantum feature-map learning with reduced resource overhead cites this paper.

Quantum feature-map learning with reduced resource overhead Quantum embeddings for machine learning

Reference 27

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no resolver link, observed 2026-08-04T12:39:05.945891Z

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source=pdf_text observed=2026-08-04T12:39:05.945891Z digest=sha256:6da206eaff48a2c40c4f491a8ecde0a23c619cf5ffa240f736d61c0a35c17fa5

Observation a84b8dfe-6fe1-42d1-8baa-4c299c250bfb · inbound

SoK: Critical Evaluation of Quantum Machine Learning for Adversarial Robustness cites this paper.

SoK: Critical Evaluation of Quantum Machine Learning for Adversarial Robustness Quantum embeddings for machine learning

Reference 54

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arxiv_id, observed 2026-05-21T18:44:18.908948Z

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.

source=pdf_text observed=2026-05-21T18:42:35.602685Z digest=sha256:95f3bba8b297062de00a69781ec0fdcfef60271c85dac765f1a389320ffc0fe5

Observation c4713096-c061-4ff3-b13b-6629f6f4c54a · inbound

SoK: Critical Evaluation of Quantum Machine Learning for Adversarial Robustness cites this paper.

SoK: Critical Evaluation of Quantum Machine Learning for Adversarial Robustness Quantum embeddings for machine learning

Reference 54

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arxiv_id, observed 2026-05-25T07:40:28.783780Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T07:38:56.051810Z digest=sha256:1c0c4db6af007bf711b274234bdcef245359a542b54c231370410fcc376937bf

Observation abee5eaa-61a2-4d9e-b4ac-1c6108695e01 · inbound

A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference cites this paper.

A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference Quantum embeddings for machine learning

Reference 36

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arxiv_id, observed 2026-05-15T13:20:01.927748Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T13:19:59.354430Z digest=sha256:c5ef21b91c719731930484852edfe8fa4f2dd3449da1ed0ae12d26230a19a2de

Observation be8bb719-d1e1-4746-ae5d-ee8f812db96c · inbound

A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference cites this paper.

A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference Quantum embeddings for machine learning

Reference 36

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source=pdf_text observed=2026-07-15T00:00:49.391141Z digest=sha256:bd671fccc48d1faa620278aa666924c53c7b58b2483e168fcf03baebbffa6d42

Observation d5101541-9e79-42eb-b73b-e626730c7f2e · inbound

Hybrid Quantum-Classical Algorithm for Hamiltonian Simulation cites this paper.

Hybrid Quantum-Classical Algorithm for Hamiltonian Simulation Quantum embeddings for machine learning

Reference 20

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arxiv_id, observed 2026-05-10T22:00:49.203366Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T20:20:04.389235Z digest=sha256:87b08e98fefb5e4e5fb73a53512c5864ad01bb72fef4efd8c2095fac73ce53bb

Observation bfae9a1a-d2f6-4b96-888d-39f9017f047b · inbound

A Specialized Importance-Aware Quantum Convolutional Neural Network with Ring-Topology (IA-QCNN) for MGMT Promoter Methylation Prediction in Glioblastoma cites this paper.

A Specialized Importance-Aware Quantum Convolutional Neural Network with Ring-Topology (IA-QCNN) for MGMT Promoter Methylation Prediction in Glioblastoma Quantum embeddings for machine learning

Reference 78

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arxiv_id, observed 2026-05-08T21:39:23.093303Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T12:22:16.357542Z digest=sha256:0b8b7e0a750496a7c40564b2f2aa3ec749253e74062c52899b5adf09d5666148

Observation fba33126-063f-4655-87e4-ac7bc49a3c49 · inbound

A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction cites this paper.

A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction Quantum embeddings for machine learning

Reference 6

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arxiv_id, observed 2026-05-22T06:34:40.789228Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T06:33:41.569991Z digest=sha256:5e61665f97a1330cdb7044f906c6d1b2eab3bc6d70ed0bfee29c4eb244fb1e97

Observation 087bfb6f-6b3e-4e4a-82a3-ab5cd088da82 · inbound

A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction cites this paper.

A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction Quantum embeddings for machine learning

Reference 6

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source=pdf_text observed=2026-08-02T13:30:01.661653Z digest=sha256:19c460c6f9b0cc4081de1022f1e47f27e332ec6310485b94a2763035fd135d7e

Observation 943e2b7b-cf58-402c-acba-919b102c0c26 · inbound

Quantum encodings that preserve persistent homology cites this paper.

Quantum encodings that preserve persistent homology Quantum embeddings for machine learning

Reference 77

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arxiv_id, observed 2026-06-29T11:53:24.434475Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T11:45:53.392594Z digest=sha256:20e32ed3abec692583bba698e906482cf99a866354f5a036a5e705cfa9b0179a

Observation 508c6e66-9dc8-4551-a6ca-62d6ec694942 · inbound

Generative Quantum Data Embeddings for Supervised Learning cites this paper.

Generative Quantum Data Embeddings for Supervised Learning Quantum embeddings for machine learning

Reference 13

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arxiv_id, observed 2026-07-01T19:36:09.448541Z

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source=pdf_text observed=2026-06-28T22:10:38.902738Z digest=sha256:618e6371791329d743bf01503d917fd3b302c5eb9151a2a1d93435e22c8d1834

Observation 9dccb1cd-1e5c-443c-8418-be4255cc66f9 · 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 Quantum embeddings for machine learning

Reference 37

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arxiv_id, observed 2026-07-02T09:16:49.448187Z

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source=pdf_text observed=2026-06-28T05:33:39.259676Z digest=sha256:621d290fdbe45b17c59a0dcca72946c986ce0d299079c822913ca0b716b857e9

Observation 20b25dfe-5da6-498e-9a56-3a88a66e9e03 · 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 Quantum embeddings for machine learning

Reference 37

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source=pdf_text observed=2026-08-02T12:26:02.930554Z digest=sha256:98fc81c38b9f8f99e06766ca8a239e9d48009a1997220cc457d6289d2a13d9df

Observation ddea1770-bc56-4ab4-bbc1-433cec2942b6 · inbound

On a Central Limit Theorem and Sanov's principle for quantum neural networks cites this paper.

On a Central Limit Theorem and Sanov's principle for quantum neural networks Quantum embeddings for machine learning

Reference 16

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arxiv_id, observed 2026-07-04T07:09:38.169604Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T13:41:07.026350Z digest=sha256:82584cf53d82d8dd4024579aebd818a54d2d30147ecdfb572745f604d2df8148

Observation af1da2d6-057c-4282-92c5-939ba7676834 · inbound

Tailor Made Embeddings for Quantum Machine Learning cites this paper.

Tailor Made Embeddings for Quantum Machine Learning Quantum embeddings for machine learning

Reference 5

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arxiv_id, observed 2026-07-04T15:39:57.030439Z

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source=pdf_text observed=2026-06-26T01:29:32.201460Z digest=sha256:1cbff7acb06ae1cdbad35ca828a4f05caccd2675e23a84609f325e31de25c9ef

Observation 04def910-febc-4aaf-8594-92ed49a49202 · inbound

Quantum Dynamic Time Warping for Multivariate Time Series Classification cites this paper.

Quantum Dynamic Time Warping for Multivariate Time Series Classification Quantum embeddings for machine learning

Reference 15

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arxiv_id, observed 2026-06-29T19:03:52.343020Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T04:55:53.739596Z digest=sha256:e849fcccfcd7245f01b3396c1e128507fd86062facb6b9bea77368a2d6e5211b

Observation 7e00ae59-5ebb-4dfe-9d06-b1fcfb201364 · inbound

An Information-Theoretic Principle for Optimal Quantum Encoding: Tight Frames and Equiangular Ensembles cites this paper.

An Information-Theoretic Principle for Optimal Quantum Encoding: Tight Frames and Equiangular Ensembles Quantum embeddings for machine learning

Reference 39

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arxiv_id, observed 2026-07-03T00:27:29.149225Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-03T00:27:03.652589Z digest=sha256:dbe7ceb4d9899779d2ea59d48c1bfda8c3d8a60140fb5899e5598bb37fd13a0e

Observation 9333ba55-baaa-4ff3-972e-2098d0a27bb2 · inbound

Quantum Topological Data Encoding cites this paper.

Quantum Topological Data Encoding Quantum embeddings for machine learning

Reference 17

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source=pdf_text observed=2026-08-02T03:38:01.101125Z digest=sha256:393a3f152f26ebb9501061651f377debe3133557a371ce9f7cbd0a788f0f6e2a

Observation e0d56487-7ffb-4683-be25-94b1041fdd97 · inbound

A Multiclass Quantum Aligned Centroid Kernel cites this paper.

A Multiclass Quantum Aligned Centroid Kernel Quantum embeddings for machine learning

Reference 33

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source=pdf_text observed=2026-08-01T11:48:21.708319Z digest=sha256:1903ea96b57065330986661a55cb6dec7b9ea37c8b76cfdb7099b7eacc9c80e7

Observation d7427c49-0544-4c9f-aeff-581d39813cc2 · inbound

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support cites this paper.

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support Quantum embeddings for machine learning

Reference 34

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source=pdf_text observed=2026-08-01T04:37:05.451285Z digest=sha256:3578ec570b19bf8e79fb703c8058c5a1757e4f9edf042a1d3882e2220d1f5af6

Observation ab7a9229-87d7-4fd6-b3fe-e2ba6792dfb1 · inbound

High-rate qLDPC processors cites this paper.

High-rate qLDPC processors Quantum embeddings for machine learning

Reference 121

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source=arxiv_source observed=2026-08-03T00:27:29.505599Z digest=sha256:e4c5e1315a3eedcaf6f41b0a61c4fabacfab123e99b4fd322292e837ccab2ca6