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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T05:32:20.919412Z digest=sha256:3e678f1a6bc60dc5df21d79d466f2bb3eb543f47566ff313cb03a3d2a935c8fb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T12:06:38.050214Z digest=sha256:a54c931a407eaa4c52057d23bb4d93e6615491c1c3355dfc6574cede9a683c03

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T07:59:06.404337Z digest=sha256:c6262330c0b718f7c953935cca5e04ce40bb0c3ce8046892b7c66acffbc110e8

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T13:43:57.680890Z digest=sha256:dcaf1256f3ce66b3da1d744b573acc564a4d5e89d696b0696063f1554a55297e

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

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T18:42:35.602685Z digest=sha256:dfbc57ad7427ea653221c20c2842d87f2a71fc05cb0d798e23006523f1c565df

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T07:38:56.051810Z digest=sha256:19556652f43256e720c1f38a27456d4256b044be46351fcf634e6b43b7a86c22

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T13:19:59.354430Z digest=sha256:c324f68b134c5000a86ddbbda05935dcb87e791731d73ec433dba3978fc82706

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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source=pdf_text observed=2026-05-10T20:20:04.389235Z digest=sha256:90c04e135a9331d1f026bd270c759d0613cffc32588ddce6162c27374bbe78d6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T12:22:16.357542Z digest=sha256:9ad210cd4402f6b72c705b5c316db7fa20e7fe825ca8675151332aef545a7897

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=sha256:788c389a85a99bfa0dc6266b16ba627cc15b36dc808a68035939077c4ce2e7f5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T11:45:53.392594Z digest=sha256:c1e23d0fde4aaae6e58d39f7fc7de92e82b4fcb79b258a7b7ad9e4064ec38228

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:b5f6a8177f878bc62c0aa96c803f7d12494c02e5d3cb7ad87b99b67a965bb315

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T05:33:39.259676Z digest=sha256:22e7c0ad354ba23c571c3185e59ec829415d3057ead6854582486fe5877e8da5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T13:41:07.026350Z digest=sha256:cb530f4a67745455fbb5f6616c7ee6ee5d474e529e6ab97c8606f911c64fec4e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T01:29:32.201460Z digest=sha256:9751693586693cdf70e5da4fc7c60d6ecb3c6927888a31e2a91d3e060b11c751

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T04:55:53.739596Z digest=sha256:078178284a2174ed44b246ad3233ffff551b4cffb5ad083a7662d554c1c638bb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-03T00:27:03.652589Z digest=sha256:a68cec7711214edd0a0c49c15c0d5ed44e7f32a3b72740d909996de94c685bdc

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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Unavailable: canonical work link unavailable.

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