Paper Citation Record · LEDGER

Modeling Feature Maps for Quantum Machine Learning

As of 13 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 3 inbound Pith citation observations for arXiv:2501.08205.

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

pith.paper-citation-record.v1
2501.08205 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:33:03.145566Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:32:57.295393Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:09:38.152203Z

Reference resolution

40 of 40 outbound references displayed

verified exact1
verified fuzzy29
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef0ee879-d2b9-422b-baca-7fb30842512d · outbound

This paper cites Quantum-centric supercomputing for materials science: A perspective on challenges and future directions,.

Modeling Feature Maps for Quantum Machine Learning Quantum-centric supercomputing for materials science: A perspective on challenges and future directions,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.716934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4550c2c5-bd2c-4b2f-ac08-efe98fbe9c6f · outbound

This paper cites Systematic literature review: Quantum machine learning and its applications,.

Modeling Feature Maps for Quantum Machine Learning Systematic literature review: Quantum machine learning and its applications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.702407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5fb99b70-2342-4d8e-81a1-6b84a6b43170 · outbound

This paper cites A biological sequence comparison algorithm using quantum computers,.

Modeling Feature Maps for Quantum Machine Learning A biological sequence comparison algorithm using quantum computers,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.688070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a979e317-e574-48dd-aa01-3696250721dc · outbound

This paper cites Parameterized quantum circuits as machine learning models,.

Modeling Feature Maps for Quantum Machine Learning Parameterized quantum circuits as machine learning models,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:02.989151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd518150-edba-4cff-8dac-18483ae16ffe · outbound

This paper cites Taking advantage of noise in quantum reservoir computing,.

Modeling Feature Maps for Quantum Machine Learning Taking advantage of noise in quantum reservoir computing,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.663636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9eeadd50-467c-441e-81ae-f6f8e2517d41 · outbound

This paper cites Fast quantum algorithm for protein structure prediction in hydrophobic-hydrophilic model,.

Modeling Feature Maps for Quantum Machine Learning Fast quantum algorithm for protein structure prediction in hydrophobic-hydrophilic model,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.649394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e177169f-9d34-4748-9d1c-a77471801d7a · outbound

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

Modeling Feature Maps for Quantum Machine Learning Quantum computing in the nisq era and beyond,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:03.003204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 359d5661-9bf7-4d38-b33a-33eaa929e7f2 · outbound

This paper cites Bench- marking quantum (-inspired) annealing hardware on practical use cases,.

Modeling Feature Maps for Quantum Machine Learning Bench- marking quantum (-inspired) annealing hardware on practical use cases,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.626134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9d0d0f28-2fba-4f40-af32-5271e3500138 · outbound

This paper cites A variation-aware quantum circuit mapping approach based on multi-agent cooperation,.

Modeling Feature Maps for Quantum Machine Learning A variation-aware quantum circuit mapping approach based on multi-agent cooperation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.612648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f2273979-a0ae-4a9d-878c-f5cc7b6bc425 · outbound

This paper cites An Independent Implementation of Quantum Machine Learning Algorithms in Qiskit for Genomic Data.

Modeling Feature Maps for Quantum Machine Learning An Independent Implementation of Quantum Machine Learning Algorithms in Qiskit for Genomic Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:03.016245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9211d10b-36bf-40e1-9da4-43eec53f061f · outbound

This paper cites Quantum support vector machine for classifying noisy data,.

Modeling Feature Maps for Quantum Machine Learning Quantum support vector machine for classifying noisy data,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.599159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 414771d0-de93-43b1-9b43-b87d82302843 · outbound

This paper cites Impact of quantum noise on the training of quantum generative adversarial networks,.

Modeling Feature Maps for Quantum Machine Learning Impact of quantum noise on the training of quantum generative adversarial networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.585353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a693f851-307c-444d-9f02-a40cffc5e529 · outbound

This paper cites Assess- ing the impact of noise on quantum neural networks: An experimental analysis,.

Modeling Feature Maps for Quantum Machine Learning Assess- ing the impact of noise on quantum neural networks: An experimental analysis,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.571381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7a3ffd3f-8bd0-46b5-8858-bcd96c4ee87e · outbound

This paper cites Investigating the Effect of Noise on the Training Performance of Hybrid Quantum Neural Networks.

Modeling Feature Maps for Quantum Machine Learning Investigating the Effect of Noise on the Training Performance of Hybrid Quantum Neural Networks

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:33:03.216715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fc272627-e29e-41b8-bfcc-461c8804237c · outbound

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

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

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.557577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6246011c-ff34-4b01-a536-17e09f5f5de5 · outbound

This paper cites Complexity of life sciences in quantum and ai era,.

Modeling Feature Maps for Quantum Machine Learning Complexity of life sciences in quantum and ai era,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.543297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7c770097-6d4b-48ff-8810-190879ce8d92 · outbound

This paper cites Introduction to quantum noise, measurement, and ampli- fication,.

Modeling Feature Maps for Quantum Machine Learning Introduction to quantum noise, measurement, and ampli- fication,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.528754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c11218fd-be54-4c32-ba9f-c2fbaa6ffdd4 · outbound

This paper cites Pre-and postselected quantum states: Density matrices, tomography, and kraus operators,.

Modeling Feature Maps for Quantum Machine Learning Pre-and postselected quantum states: Density matrices, tomography, and kraus operators,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.513092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5da58908-e604-4f20-8414-86bae94e8950 · outbound

This paper cites Quantum metrology for noisy systems,.

Modeling Feature Maps for Quantum Machine Learning Quantum metrology for noisy systems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.498681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation df5977e3-1fe3-46d2-9ed0-fbae46576ab9 · outbound

This paper cites Quantum simulation of open quantum systems using a unitary decomposition of operators,.

Modeling Feature Maps for Quantum Machine Learning Quantum simulation of open quantum systems using a unitary decomposition of operators,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.484329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4b8b9ec6-704f-455d-94c8-f41a2edb159f · outbound

This paper cites Classical simulation of quantum dephasing and depolarizing noise,.

Modeling Feature Maps for Quantum Machine Learning Classical simulation of quantum dephasing and depolarizing noise,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.469822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 38fe0108-e495-4248-9fe2-891d417b74fd · outbound

This paper cites Effects of quantum noise on quantum approximate optimization algorithm,.

Modeling Feature Maps for Quantum Machine Learning Effects of quantum noise on quantum approximate optimization algorithm,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.455030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d86feb95-627c-432b-b85d-65a8544bf08f · outbound

This paper cites Low-rank density-matrix evolution for noisy quantum circuits,.

Modeling Feature Maps for Quantum Machine Learning Low-rank density-matrix evolution for noisy quantum circuits,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:03.072342Z

Source-reported events for the cited work

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Observation 0b45d637-f52b-430d-ad04-cc60fbb2eb5c · outbound

This paper cites Squeezed generalized amplitude damping channel,.

Modeling Feature Maps for Quantum Machine Learning Squeezed generalized amplitude damping channel,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.430802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6cf35197-8d6a-4a58-9ac2-cafcb7608f7b · outbound

This paper cites Suppressing amplitude damping in trapped ions: Discrete weak measurements for a nonunitary probabilistic noise filter,.

Modeling Feature Maps for Quantum Machine Learning Suppressing amplitude damping in trapped ions: Discrete weak measurements for a nonunitary probabilistic noise filter,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.416232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 703cd9fa-8448-45e2-9b35-be856866eab8 · outbound

This paper cites High- dimensional optical quantum logic in large operational spaces,.

Modeling Feature Maps for Quantum Machine Learning High- dimensional optical quantum logic in large operational spaces,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.400337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e1e14594-e750-47a5-92a8-a35324dbf02f · outbound

This paper cites Asymptotic improvements to quantum circuits via qutrits,.

Modeling Feature Maps for Quantum Machine Learning Asymptotic improvements to quantum circuits via qutrits,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.385142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6cbb5b9e-2382-4705-a1b7-768252589c96 · outbound

This paper cites Simulation of Thermal Relaxation in Spin Chemistry Systems on a Quantum Computer Using Inherent Qubit Decoherence.

Modeling Feature Maps for Quantum Machine Learning Simulation of Thermal Relaxation in Spin Chemistry Systems on a Quantum Computer Using Inherent Qubit Decoherence

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:03.093647Z

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Unavailable: canonical work link unavailable.

Observation cb232ccb-3ca6-4692-b370-b5b8bf324c05 · outbound

This paper cites Hamil- tonian simulation of quantum beats in radical pairs undergoing thermal relaxation on near-term quantum computers,.

Modeling Feature Maps for Quantum Machine Learning Hamil- tonian simulation of quantum beats in radical pairs undergoing thermal relaxation on near-term quantum computers,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.370615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7ec9aaae-f782-4670-8d40-d231e202096e · outbound

This paper cites Measurement error mitigation in quantum computers through classical bit-flip correction,.

Modeling Feature Maps for Quantum Machine Learning Measurement error mitigation in quantum computers through classical bit-flip correction,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.355576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f4919ed4-5570-4efb-a9bf-5f10b1a4abe8 · outbound

This paper cites Teleportation of an arbitrary two- qubit state via four-qubit cluster state in noisy environment,.

Modeling Feature Maps for Quantum Machine Learning Teleportation of an arbitrary two- qubit state via four-qubit cluster state in noisy environment,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.340601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f2b9245d-540a-4e0f-b08b-af919d20c69c · outbound

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

Modeling Feature Maps for Quantum Machine Learning Supervised learning with quantum- enhanced feature spaces,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:03.110940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 570e84a6-f40c-47d5-a0ee-877494e15bde · outbound

This paper cites Circuit-centric quantum classifiers,.

Modeling Feature Maps for Quantum Machine Learning Circuit-centric quantum classifiers,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:03.115208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bd8ad76-99f6-4abb-b408-9adc0ab46526 · outbound

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

Modeling Feature Maps for Quantum Machine Learning A generative modeling approach for benchmark- ing and training shallow quantum circuits,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.307756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 50c86d80-eb80-4f5b-b9b5-95cc20a642dd · outbound

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

Modeling Feature Maps for Quantum Machine Learning Quantum support vector machine for big data classification,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:03.124009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61f92dcf-89f3-4b44-b892-414e524e9acb · outbound

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

Modeling Feature Maps for Quantum Machine Learning The complexity of quantum support vector machines,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.284331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3c348feb-5f21-4e15-a113-764887c1384d · outbound

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

Modeling Feature Maps for Quantum Machine Learning Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.269320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d9bfeddc-6a2f-489b-bc8d-c045ed5825e6 · outbound

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

Modeling Feature Maps for Quantum Machine Learning Pegasos: Primal estimated sub-gradient solver for svm,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:33:03.255074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 819eebaa-a240-4df0-8c71-b9392198cb26 · outbound

This paper cites The power of quantum neural networks,.

Modeling Feature Maps for Quantum Machine Learning The power of quantum neural networks,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:03.141231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2456eb69-05e7-488b-8550-cfdef20dca70 · outbound

This paper cites Quantum computing with Qiskit.

Modeling Feature Maps for Quantum Machine Learning Quantum computing with Qiskit

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T20:33:03.145566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 6b4d545a-2991-4ce6-9a67-d84e80606fac · inbound

A Non-Monotonic Relationship: An Empirical Analysis of Hybrid Quantum Classifiers for Unseen Ransomware Detection cites this paper.

A Non-Monotonic Relationship: An Empirical Analysis of Hybrid Quantum Classifiers for Unseen Ransomware Detection Modeling Feature Maps for Quantum Machine Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T21:32:57.295393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89d889be-af79-4e74-b193-e0da6547c8f7 · inbound

A Correlation Aware Quantum Feature Map for Variational Quantum Classification cites this paper.

A Correlation Aware Quantum Feature Map for Variational Quantum Classification Modeling Feature Maps for Quantum Machine Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:09:38.154394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 97675646-95de-493a-a0dd-9354bca7b538 · inbound

Exploring the Effects of Entanglement on Quantum Machine Learning of Pathogen Epitope-Receptor Binding cites this paper.

Exploring the Effects of Entanglement on Quantum Machine Learning of Pathogen Epitope-Receptor Binding Modeling Feature Maps for Quantum Machine Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-30T10:14:35.945821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.