Paper Citation Record · LEDGER

Modeling Quantum Machine Learning for Genomic Data Analysis

As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2501.08193.

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

pith.paper-citation-record.v1
2501.08193 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:34:07.256416Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy19
unresolved15
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 83b44c3a-e934-45c6-8bb3-eb8ff4b0f253 · outbound

This paper cites Quantum computing in the nisq era and beyond,.

Modeling Quantum Machine Learning for Genomic Data Analysis Quantum computing in the nisq era and beyond,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e56be750-d8e3-443b-be5a-4882fde18be8 · outbound

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

Modeling Quantum Machine Learning for Genomic Data Analysis Understanding quantum machine learning also requires rethinking generalization,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.627717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4b1e9b08-2703-49b0-99fb-2384d708c08b · outbound

This paper cites The complexity of quantum support vector machines,.

Modeling Quantum Machine Learning for Genomic Data Analysis The complexity of quantum support vector machines,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:07.138315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83b14913-55d9-4d2f-981f-d515b18ea577 · outbound

This paper cites The state of quantum computing applications in health and medicine,.

Modeling Quantum Machine Learning for Genomic Data Analysis The state of quantum computing applications in health and medicine,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.608957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 59ce94b4-a8c8-47db-aa4d-e35debbc9c6a · outbound

This paper cites Deep learning for health informatics,.

Modeling Quantum Machine Learning for Genomic Data Analysis Deep learning for health informatics,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.598147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6d6c6a41-2ebf-442c-ba94-c192b4ffba2a · outbound

This paper cites Opportunities and obstacles for deep learning in biology and medicine,.

Modeling Quantum Machine Learning for Genomic Data Analysis Opportunities and obstacles for deep learning in biology and medicine,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.586182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dac1c011-a16e-45d9-a4b8-3a53b3d65f4f · outbound

This paper cites Tepi: Taxonomy-aware embedding and pseudo-imaging for scarcely- labeled zero-shot genome classification,.

Modeling Quantum Machine Learning for Genomic Data Analysis Tepi: Taxonomy-aware embedding and pseudo-imaging for scarcely- labeled zero-shot genome classification,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.572067Z

Source-reported events for the cited work

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Observation 66253570-0d41-47cd-9acc-ecb5781ac951 · outbound

This paper cites A primer on deep learning in genomics,.

Modeling Quantum Machine Learning for Genomic Data Analysis A primer on deep learning in genomics,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.560378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation afab188b-752f-42f3-8471-6d0db3439264 · outbound

This paper cites Quantum Federated Learning Experiments in the Cloud with Data Encoding.

Modeling Quantum Machine Learning for Genomic Data Analysis Quantum Federated Learning Experiments in the Cloud with Data Encoding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:07.165061Z

Source-reported events for the cited work

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Observation a41ceb33-5323-46af-80b7-2ac073414251 · outbound

This paper cites A personalized quantum federated learning,.

Modeling Quantum Machine Learning for Genomic Data Analysis A personalized quantum federated learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.548171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8484bd6-6695-42e3-ae64-4cc914b91095 · outbound

This paper cites Quantum machine learning revolution in healthcare: A systematic review of emerging perspectives and applications,.

Modeling Quantum Machine Learning for Genomic Data Analysis Quantum machine learning revolution in healthcare: A systematic review of emerging perspectives and applications,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.534282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2e50d239-adf3-43a2-af3d-cb37d7cdfed8 · outbound

This paper cites A data-encoding approach to quantum federated learning: Experimenting with cloud challenges,.

Modeling Quantum Machine Learning for Genomic Data Analysis A data-encoding approach to quantum federated learning: Experimenting with cloud challenges,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.522250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c59ff85-01b2-4f27-953a-7e9c7ea97a48 · outbound

This paper cites The power of quantum neural networks,.

Modeling Quantum Machine Learning for Genomic Data Analysis The power of quantum neural networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:07.180730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 732d07c1-dc2c-4526-98f4-c8020fac0f60 · outbound

This paper cites Supervised learning with quantum-enhanced feature spaces,.

Modeling Quantum Machine Learning for Genomic Data Analysis Supervised learning with quantum-enhanced feature spaces,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:07.184263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daa8e6ee-ca9a-4c26-a804-31b2211db9fc · outbound

This paper cites Circuit-centric quantum classifiers,.

Modeling Quantum Machine Learning for Genomic Data Analysis Circuit-centric quantum classifiers,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:07.187506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c8c1c5f-1199-447d-90d3-dfa1d608726f · outbound

This paper cites A generative modeling approach for benchmark- ing and training shallow quantum circuits,.

Modeling Quantum Machine Learning for Genomic Data Analysis A generative modeling approach for benchmark- ing and training shallow quantum circuits,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:07.191473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d796de81-baff-4955-8771-e5cd3d36b7d0 · outbound

This paper cites Quantum support vector machine for big data classification,.

Modeling Quantum Machine Learning for Genomic Data Analysis Quantum support vector machine for big data classification,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:07.195367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e820a08c-1fa7-483a-bc2e-79c30c4d0b1a · outbound

This paper cites Quantum support vector machines for classification and regression on a trapped-ion quantum computer,.

Modeling Quantum Machine Learning for Genomic Data Analysis Quantum support vector machines for classification and regression on a trapped-ion quantum computer,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.472250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf2ffea9-d19d-4f80-8353-5ec91598baed · outbound

This paper cites Quantum kernel estimation-based quantum support vector regression,.

Modeling Quantum Machine Learning for Genomic Data Analysis Quantum kernel estimation-based quantum support vector regression,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.459129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 103b6c2b-f86d-4bd0-8f69-c3a434a4f289 · outbound

This paper cites Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines,.

Modeling Quantum Machine Learning for Genomic Data Analysis Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.446827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 80b44f35-2839-4a5f-8626-c452fade524d · outbound

This paper cites Sequential minimal optimization: A fast algorithm for training support vector machines,.

Modeling Quantum Machine Learning for Genomic Data Analysis Sequential minimal optimization: A fast algorithm for training support vector machines,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.434598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a531801b-c5f1-40a5-9fa7-32d56748d81e · outbound

This paper cites Performance analysis of quantum machine learning classifiers,.

Modeling Quantum Machine Learning for Genomic Data Analysis Performance analysis of quantum machine learning classifiers,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.421128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eed3c450-c4b4-424a-80a9-2f089afeb12e · outbound

This paper cites Pegasos: Primal estimated sub-gradient solver for svm,.

Modeling Quantum Machine Learning for Genomic Data Analysis Pegasos: Primal estimated sub-gradient solver for svm,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.409050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 93f00362-f063-44de-8dcc-40684128bde8 · outbound

This paper cites An introduction to quantum machine learning,.

Modeling Quantum Machine Learning for Genomic Data Analysis An introduction to quantum machine learning,

Reference 24

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Source-reported events for the cited work

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Observation 4959174f-f327-4508-a981-86eb322ecbe0 · outbound

This paper cites Quantum machine learning,.

Modeling Quantum Machine Learning for Genomic Data Analysis Quantum machine learning,

Reference 25

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Source-reported events for the cited work

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Observation b3aacd7b-d99d-43d4-a262-0f18b333097d · outbound

This paper cites Schuld and F.

Modeling Quantum Machine Learning for Genomic Data Analysis Schuld and F

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 02375337-de3e-4ed6-be93-9318a23eb5bf · outbound

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

Modeling Quantum Machine Learning for Genomic Data Analysis Barren plateaus in quantum neural network training landscapes,

Reference 27

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Source-reported events for the cited work

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Observation 6d3c6e6a-6e98-4fd9-8ec3-8be9e12a3ba7 · outbound

This paper cites Quantum circuit learning,.

Modeling Quantum Machine Learning for Genomic Data Analysis Quantum circuit learning,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:07.234234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6faae544-f525-405e-ac84-cb3d88100bf5 · outbound

This paper cites Error mitigation for short- depth quantum circuits,.

Modeling Quantum Machine Learning for Genomic Data Analysis Error mitigation for short- depth quantum circuits,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.354228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3d24df17-ed32-4ce2-bc69-3ddef72a9507 · outbound

This paper cites The theory of variational hybrid quantum-classical algorithms,.

Modeling Quantum Machine Learning for Genomic Data Analysis The theory of variational hybrid quantum-classical algorithms,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:07.241992Z

Source-reported events for the cited work

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Observation a753021c-4c7a-482e-a1d5-95920eab0cd6 · outbound

This paper cites An overview of gradient descent optimization algorithms.

Modeling Quantum Machine Learning for Genomic Data Analysis An overview of gradient descent optimization algorithms

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:07.245243Z

Source-reported events for the cited work

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Observation caf43cb9-af5c-4a2e-bc3c-e7f354515a71 · outbound

This paper cites Evaluating analytic gradients on quantum hardware,.

Modeling Quantum Machine Learning for Genomic Data Analysis Evaluating analytic gradients on quantum hardware,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.335084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aef6bae0-b500-4ba2-95af-4072af462398 · outbound

This paper cites Qiskit: An open-source framework for quantum computing,.

Modeling Quantum Machine Learning for Genomic Data Analysis Qiskit: An open-source framework for quantum computing,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:07.252854Z

Source-reported events for the cited work

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Observation 76308120-1653-4b01-a2e7-1ed6b93078d4 · outbound

This paper cites Genomic benchmarks: a collection of datasets for genomic sequence classification,.

Modeling Quantum Machine Learning for Genomic Data Analysis Genomic benchmarks: a collection of datasets for genomic sequence classification,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:34:07.313091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.