Pith. sign in

Paper Citation Record · LEDGER

Quantum embeddings for machine learning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 46 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 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 46 of 46 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:41:08.500011Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 b22219fa-e0be-4078-af7f-e254de1525c2 · inbound

Quantum similarity learning for anomaly detection cites this paper.

Quantum similarity learning for anomaly detection Quantum embeddings for machine learning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T20:15:33.120929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:15:33.120929Z digest=sha256:767abd9bb6f905799dc30985b54ed470bad53c756aac0dba331bfa76bd4db0b6

Observation 26cbdd16-af1b-45b7-a2f0-d5efdf87accc · inbound

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach cites this paper.

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach Quantum embeddings for machine learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T19:52:40.979692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:52:40.979692Z digest=sha256:4e981bcacf44d0b5b1b366887940b5bb1cabd636f5c6b9f000c1b695a01f858f

Observation 885de319-0257-47b2-8fea-0d606f927f72 · inbound

Robust Quantum Reservoir Computing for Molecular Property Prediction cites this paper.

Robust Quantum Reservoir Computing for Molecular Property Prediction Quantum embeddings for machine learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T19:22:34.668383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:22:34.668383Z digest=sha256:71031697a740065db937bb2b7547ef093168a33e56d2d5289f1d22898410fd93

Observation 6864e7b9-a065-4b3c-b27d-18cda8d59874 · inbound

Learning Equivariant Maps with Variational Quantum Circuits cites this paper.

Learning Equivariant Maps with Variational Quantum Circuits Quantum embeddings for machine learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T14:36:05.259429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:36:05.259429Z digest=sha256:5d3fef1f9418158e959ec33adcabb4a62ccd27a276c6ee341c9bed519e48af90

Observation d829f3de-3564-44df-9faa-b5b2a26f325c · inbound

Simple Quantum Gradient Descent Without Coherent Oracle Access cites this paper.

Simple Quantum Gradient Descent Without Coherent Oracle Access Quantum embeddings for machine learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T05:03:48.189140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:03:48.189140Z digest=sha256:c8ff738fa762820106e9cc5d843de4121f977c210d88a5f03e8e7b61469a5313

Observation 5feec590-7055-4e8f-8f2a-d31c06f4740f · inbound

Ensuring superior learning outcomes and data security for authorized learner cites this paper.

Ensuring superior learning outcomes and data security for authorized learner Quantum embeddings for machine learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:24.868314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:24.868314Z digest=sha256:83bf4d09816941cd585284706c6cc8bb558a07669531520cafbe738f39ccff6f

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-23T05:32:20.919412Z digest=sha256:ff0dd7ed500d92d055697e00689542053ba97af37dbdde1e498c0e2c66482e4a

Observation 9c542314-8e65-40d7-a1a0-9d5ab9926dd6 · inbound

Neural quantum embedding via deterministic quantum computation with one qubit cites this paper.

Neural quantum embedding via deterministic quantum computation with one qubit Quantum embeddings for machine learning

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-10T14:31:19.539858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:31:19.539858Z digest=sha256:1a2f8f14febff366959cd61ebe41cc3cfc47e242d81233aaeec9e9786e71445c

Observation ea44b23f-5a35-4d95-99a1-0c86672772ae · inbound

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers cites this paper.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Quantum embeddings for machine learning

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-09T16:30:39.875448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:30:39.875448Z digest=sha256:cac074353feca4c251daa86b3869c8ba2374c7e9466d9d42fdeb5ad3e2836d6a

Observation 049aab71-3339-4bff-8a52-19584249ad24 · inbound

Quantum Classifiers with Trainable Kernel cites this paper.

Quantum Classifiers with Trainable Kernel Quantum embeddings for machine learning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:08.500011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:08.500011Z digest=sha256:4e4d1b01a9abc65b83e9edbfe7b7191c6d1697aeba28931de2b33952fdd961b1

Observation b5c96ca1-db15-4d18-b274-423b405d79eb · inbound

Quantum Surrogate-Driven Image Classifier: A Gradient-Free Approach to Avoid Barren Plateaus cites this paper.

Quantum Surrogate-Driven Image Classifier: A Gradient-Free Approach to Avoid Barren Plateaus Quantum embeddings for machine learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T23:14:31.357576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:14:31.357576Z digest=sha256:c9f0765027fede0a9031f25cb71154ba3baca282b2b1a959514b06032977b2c1

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

Resolution
verified exact
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T12:06:38.050214Z digest=sha256:dbfe4e45715f91a6d0ce169c8c291ef523526498433e9a7a25c042ebc437aacd

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:04.877002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.877002Z digest=sha256:6a32f7109df424ea7d0be406c9e12173f0f6d2b4d9dec1968600e41111f92094

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

Resolution
verified exact
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T07:59:06.404337Z digest=sha256:77a235ac583e578ea3863714f24f0b4103d979e03509c5791da867bff55539b8

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:09.368321Z digest=sha256:ee80b82aae470a464a5620b6abeaffeda3bec39604735897b8ec0f5b80071c9b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:12:37.758196Z digest=sha256:a6d15c73d91924b2ec49166cf911f9023381150ddf047551007901a36248dd2e

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

Resolution
unresolved
no resolver link, observed 2026-08-06T18:45:54.731274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:45:54.731274Z digest=sha256:4f0b9dc0a42d1028f56ad338922dd47c77635cfbb7795901b411dc5931746cb7

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

Resolution
verified exact
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-22T13:43:57.680890Z digest=sha256:7b7a8480b0bfc090f491d54a8c07e11a7e20fa07fec56791fd19b1d6b12bf96a

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

Resolution
unresolved
no resolver link, observed 2026-08-05T16:38:26.490727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:38:26.490727Z digest=sha256:4850db00f01e7806dd47ff2735e1449be2440318ec2600e83426d3427d91bd09

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

Resolution
unresolved
no resolver link, observed 2026-08-05T15:51:00.208344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:51:00.208344Z digest=sha256:9c79e453c8ec372dd23c4830ab7f46a8cd0072e2d674e2a87b154cff36e0ad27

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:50:33.696694Z digest=sha256:7b998ccade2aad3d27f9fb3b833174072e74b80f0f47790356a11cdf24bbf12e

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

Resolution
unresolved
no resolver link, observed 2026-08-04T22:01:57.966056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:01:57.966056Z digest=sha256:6bb358f4348f2892e5deb697c75b06e304316ba5b5956bf88563d6a4a87974c3

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

Resolution
unresolved
no resolver link, observed 2026-08-04T17:14:40.325984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:14:40.325984Z digest=sha256:5d27b4205ca219a4789fd062cf25cf2f767e3f348c3ab88c16bd578356791980

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

Resolution
unresolved
no resolver link, observed 2026-08-04T12:48:33.107217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:48:33.107217Z digest=sha256:279f1b3fa781dae59aee838b1a5a466ff3eb2493ebc259d3aee4cb48633f5413

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:39:05.945891Z digest=sha256:3f142ba13d5b18de7891dd8bac3903bdd811625d1299f1acef401be1c1896d80

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

Resolution
verified exact
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-21T18:42:35.602685Z digest=sha256:f0092b44b2b2ebf90612e9759c9cc27cb89e8c6a4dd21bcbb32fbf514d360307

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-25T07:38:56.051810Z digest=sha256:0fac928bfc8eaca2cce130e56bbba7a2d56300beeef17acd9ed65715b7f251fc

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T13:19:59.354430Z digest=sha256:82307a1ab9ae5ca7cb4e518160cf2b2b0f0b61e73cfd4a5d07a2eaa296983ce3

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

Resolution
unresolved
no resolver link, observed 2026-07-15T00:00:49.391141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T00:00:49.391141Z digest=sha256:62160302a832e4b2729f0a541395620c9408280d1e2f60cc76a9aa9e3f7252bf

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T20:20:04.389235Z digest=sha256:9784d862908d5ad826f960184d4b8928b71ecb945a1974b92d0d0ceffca7703e

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T12:22:16.357542Z digest=sha256:9420ccc4134253a48e92295da71068df962e1249817e5ae299069ce204ff2084

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-22T06:33:41.569991Z digest=sha256:4c1654a55c0d2282fb232a0125c73cf12b74687bc493cd9d7a8df94cc253f9d2

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

Resolution
unresolved
no resolver link, observed 2026-08-02T13:30:01.661653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:30:01.661653Z digest=sha256:5d6da779ba95507c16453e2fb8d9093e7d16c7cbbe30fdb3488e382fb04cd283

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T11:45:53.392594Z digest=sha256:8ba7382f43ae9d49acc8dca5a6e02cbbed1a58a99f0f617706a1fcecb5fd49d5

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T22:10:38.902738Z digest=sha256:cd0f5a2087e9207133b6ede81b36e062006712f54b9eabe35a6a6ec6c3477611

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T05:33:39.259676Z digest=sha256:7c5b07a4afd154c0100c650940c9eb7dcebdd27c824c52355433ab1057fa7879

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

Resolution
unresolved
no resolver link, observed 2026-08-02T12:26:02.930554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:26:02.930554Z digest=sha256:dee9352ea6f0533554e48f224b97fdf865ba0124818dc6895cd55a20176ca42a

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T13:41:07.026350Z digest=sha256:4df77cd8450531436a6b2c68d0257a51ab7e9a2e1a3db22d668e71ca7647d566

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T01:29:32.201460Z digest=sha256:6bbb5801740485f5b58a67b34f06c3fc9054e2121c79a7ffc4c5b5a9614799df

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T04:55:53.739596Z digest=sha256:677f927792c37fa3042b102b89e24a7b222740807fa2616b85c2e59a9b86f790

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-03T00:27:03.652589Z digest=sha256:d93fdc164e1c53869cb995c9735691206e5179c29be7259b5ea18d7b7c1ea1dd

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

Resolution
unresolved
no resolver link, observed 2026-08-02T03:38:01.101125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:38:01.101125Z digest=sha256:1d2b8a571af4a18d85c42706cd4fafa6b97390006337439a0c800ffd6277e5ce

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

Resolution
unresolved
no resolver link, observed 2026-08-01T11:48:21.708319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:48:21.708319Z digest=sha256:89b7b9dbadad8c04e06fd2170ec96fefc0d2aa385c94164e158d4246dba9196d

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

Resolution
unresolved
no resolver link, observed 2026-08-01T04:37:05.451285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:37:05.451285Z digest=sha256:5ef0a630c5ca2627cb31847737fc8b738e0be9299747872d741488b703eadc5e

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

Resolution
unresolved
no resolver link, observed 2026-08-03T00:27:29.505599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:27:29.505599Z digest=sha256:b35706e1932ab83c5dccfcddcb1912705031bc952a49d6364ea017a45a88a98d

Observation 49337767-48c8-4be1-b108-a3fdf159a8e2 · inbound

Quantum Incremental Learning with Mixed State Prototypes cites this paper.

Quantum Incremental Learning with Mixed State Prototypes Quantum embeddings for machine learning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T14:28:11.603033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:28:11.603033Z digest=sha256:8d25a25bad08451d43f06273f072f24dd5b69c187f368a852f63c35aa873662a