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Paper Citation Record · LEDGER

Quantum embeddings for machine learning

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T05:32:20.919412Z digest=sha256:f0b6a1ab91233fcc4d2c19a23a163d6503a0328120c73f82826db681faa40b8f

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T12:06:38.050214Z digest=sha256:8f8151498ef5362f5ecb67519a292e0ab67f1e1c67ab8f03e6c62badbb2e29b1

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:ddce2532208929355b0ccff18fdbe270ae8744e08b740995d2af59485fe8cdff

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T07:59:06.404337Z digest=sha256:394e2625e20dcda3363722d7d8647379e4160f141db798597499f45b1c8e368e

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T22:22:09.368321Z digest=sha256:52070de7cf368ac10bd2cf6198cd46af038befef958ff5c64662ff5e08edece4

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=sha256:2d5ddb336b23808551e1ce93cca014447f4b550b7f2b00f15fdd31bdf89f50eb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T13:43:57.680890Z digest=sha256:f74c1f9563c01ae0a37a0952d33de3e0b30353fa24f91665afa2dd77694d0949

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=sha256:7be1bd6aaaf543618e349125395442a8acf9690df805b6de98dedb69fc3f9a10

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=sha256:1e26a215b1b3f6f31a845a824f55bf1756dcf695debf3c7834f9303f00e5629b

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=sha256:7e757b31adc2383ca25a20e6c41ea17a90bee692f8439244edb45a65ef21dba5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T18:42:35.602685Z digest=sha256:5bc8b77cf082b7c00213150de01a1272fda957653d593e2dfc796bbf80b29ab0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T07:38:56.051810Z digest=sha256:b8af3d39d8c2a1210f85e436103958266fd59423373a1dae1c9a70560524fab8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T13:19:59.354430Z digest=sha256:1e2725e7bf5be2117bd8281c9cf90707b9e8e0db8462574df601a41b23991f46

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T20:20:04.389235Z digest=sha256:3e87b4ff936a812f3b9a564a4a616fb2b541f62e2f9e6c0f05b3d391b095d491

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T12:22:16.357542Z digest=sha256:670420124cac4d177a437d15aed2ef39784697dcd6f89c789736323b691a3167

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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source=pdf_text observed=2026-05-22T06:33:41.569991Z digest=sha256:3bb158d5fde40adfa5d64974b7829fc41ec9a80fcefd034e061a4123c662bbeb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T11:45:53.392594Z digest=sha256:ddb0bfd6c1a821f593a88ed38ede990586d521b666f2ba282dbe478528010353

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=sha256:3fbb25e8e8816c22f23cdd08e5ad0b4d1b45c79268a215cb16bcf1bbf8a8b449

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:c0d9cc0526c65c1469ecc6930cb03a812edfbaceb237200cc7c4a41e244d20dd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T13:41:07.026350Z digest=sha256:af34fe88a98e6a3f0668ebd98e9550c70e44613e67dfe8ccb45814c1ff056ce9

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T01:29:32.201460Z digest=sha256:805b232a5cc5ee184b6f773612c6c23bdfea9f13424722c0a393419553d6b5ec

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T04:55:53.739596Z digest=sha256:9f3a1b09087c1a4e148599a4d6468d5633de65f314daf763b0ede8d4febf4e5d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-03T00:27:03.652589Z digest=sha256:9b5b66e49ffed41222fceb43d9117b83537b4cb9a2fc8f7a98104b180a9897aa

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=sha256:90146ffb251a9d15896f1e7fedca355aa03bc453820e73e5abaec570ca60028e