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Paper Citation Record · LEDGER

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential

As of 17 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 0 inbound Pith citation observations for arXiv:2506.03779.

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

pith.paper-citation-record.v1
2506.03779 v2

Coverage vector

measured 91 of 91 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:03:04.982951Z

measured 91 of 91 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

91 of 91 outbound references displayed

  • verified exact0
  • verified fuzzy64
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 68621b71-7ae1-4ca4-b9ff-da42e36b1f88 · outbound

This paper cites Challenges and opportunities in quantum optimization.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Challenges and opportunities in quantum optimization

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.606101Z digest=sha256:bafc52b66cb20480bfa88937f10d84acbcfe53e43469d13b0d15e561c13d3e5c

Observation 446e04d7-d9d9-4be1-b190-d872cce4af33 · outbound

This paper cites Aizerman, E.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Aizerman, E

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 29cf88a6-3611-44d5-bfeb-774f5c7a9734 · outbound

This paper cites Quantum feature maps for graph machine learning on a neutral atom quantum processor.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum feature maps for graph machine learning on a neutral atom quantum processor

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e531788f-708d-42e5-bdda-367a7c513141 · outbound

This paper cites Kernels for vector-valued functions: A review.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Kernels for vector-valued functions: A review

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.620240Z digest=sha256:47e00f8d9f7fcf5d1dc657c103a1a6fc317e73c541c62b371125318a59a94177

Observation d335b654-c69a-419f-8b00-9937f5dfc99c · outbound

This paper cites Aronszajn.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Aronszajn

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9cf243da-dae5-4a24-a4d4-22d38f30dfe9 · outbound

This paper cites A quantum jensen--shannon graph kernel for unattributed graphs.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential A quantum jensen--shannon graph kernel for unattributed graphs

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cdfa82b9-f622-4206-9d9c-efa1d26df02e · outbound

This paper cites Qbmk: Quantum-based matching kernels for un-attributed graphs.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Qbmk: Quantum-based matching kernels for un-attributed graphs

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.633161Z digest=sha256:f85dd7228685eea9cc191c0bd045fa8fa52d84fc0cdc85bb26ca61de63c5904e

Observation a592e09d-b755-4f33-85ce-9966b152a388 · outbound

This paper cites an unresolved cited work.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Unresolved cited work

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7c86aecf-857e-41e9-a601-eba1df411a9d · outbound

This paper cites Benign overfitting in linear regression.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Benign overfitting in linear regression

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 72721db7-9a0e-48ad-bb60-8217e0d00777 · outbound

This paper cites Noncommutative christoffel-darboux kernels.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Noncommutative christoffel-darboux kernels

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8cbf4060-5070-46a6-8438-88e08cd71f02 · outbound

This paper cites Reconciling modern machine-learning practice and the classical bias--variance trade-off.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Reconciling modern machine-learning practice and the classical bias--variance trade-off

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.650555Z digest=sha256:80e62708b948a23076dcdfe589759bb62c7e409a910c285778f9f44454a7c501

Observation 78985f60-825c-4d3f-bcf6-797080049dad · outbound

This paper cites Quantum machine learning.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum machine learning

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.654871Z digest=sha256:0c195b980bf39d9830174c067c13e89cc3151a38605433c67bd2a4288e2c4284

Observation b98e5e31-25cf-4390-99da-49b616a25b2f · outbound

This paper cites Quantum classifier with tailored quantum kernel.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum classifier with tailored quantum kernel

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f75de162-07b7-4f34-87ec-4e87fee2ea10 · outbound

This paper cites Graph kernels: State-of-the-art and future challenges.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Graph kernels: State-of-the-art and future challenges

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c382dd5b-6e6e-4b82-a0ad-d9abebdff376 · outbound

This paper cites an unresolved cited work.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Unresolved cited work

Reference 15

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raw_fallback, observed 2026-08-07T11:03:06.168433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.666495Z digest=sha256:7f218dfabc03300729eeec3ec5aff5b9af14c8edfc5958ed54bc474d200704ec

Observation 6bca206c-66bd-483c-bbc8-3dae30c9c933 · outbound

This paper cites Input output kernel regression: Supervised and semi-supervised structured output prediction with operator-valued kernels.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Input output kernel regression: Supervised and semi-supervised structured output prediction with operator-valued kernels

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.670568Z digest=sha256:297b2267fa0718ecac181ec19b3f2cfbdb7fe5c6934df48a8d9e294dd7f02977

Observation 63904590-b581-43b1-8831-e61734bd17d3 · outbound

This paper cites C*-Algebras and Mathematical Foundations of Quantum Statistical Mechanics: An Introduction.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential C*-Algebras and Mathematical Foundations of Quantum Statistical Mechanics: An Introduction

Reference 17

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raw_fallback, observed 2026-08-07T11:03:06.140777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.674635Z digest=sha256:dd902a5f788570c95aa6333b1cf3592bb271e9077ef11043dfa701e9542173d4

Observation f549403c-bc60-4f80-9a77-bf45e7353bbf · outbound

This paper cites Quantum fingerprinting.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum fingerprinting

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.678577Z digest=sha256:d9a48246e5425858e7225de0f0202537a7d82e23e6b9b28168bc2c1b0b5378ee

Observation 44c74ec5-8412-4fd1-b828-47491fe4e556 · outbound

This paper cites Optimization of polynomials in non-commuting variables, volume 2.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Optimization of polynomials in non-commuting variables, volume 2

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b6a61274-fe2f-46c9-913c-4b9a81269c2e · outbound

This paper cites Towards a theory of non-commutative optimization: Geodesic 1st and 2nd order methods for moment maps and polytopes.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Towards a theory of non-commutative optimization: Geodesic 1st and 2nd order methods for moment maps and polytopes

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 60e8cf7f-ef9a-4763-be46-9b77d0fd1c01 · outbound

This paper cites Wild, and Ruslan Shaydulin.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Wild, and Ruslan Shaydulin

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.692859Z digest=sha256:e293d7aac29a088b9bfca31e20db371e06179329ac79f517cf74cfcc7447acb2

Observation 2daa10ca-ddfb-410f-bb09-45513b3075a6 · outbound

This paper cites Universal multi-task kernels.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Universal multi-task kernels

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.696854Z digest=sha256:d9e801dd73633437593d47242bd4cafcf191763a68f79f16ef4f79b99f5166a1

Observation 60af1183-61b4-4689-8fed-89beb5bf46ea · outbound

This paper cites Vector valued reproducing kernel hilbert spaces and universality.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Vector valued reproducing kernel hilbert spaces and universality

Reference 23

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.700991Z digest=sha256:5429cde1aa241d46b1f20fa2d25515d8cd7836850826e15017efb8b4b58ec578

Observation cc2c150b-1e25-42c5-b008-748a183d334a · outbound

This paper cites Quantum machine learning: a classical perspective.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum machine learning: a classical perspective

Reference 24

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raw_fallback, observed 2026-08-07T11:03:06.042920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.704953Z digest=sha256:4299517c63213acb1efabcd654d4ad67ac865bf00fff35293791433cb2144a94

Observation ac43b313-00e7-4721-88f3-71e38a84ddc0 · outbound

This paper cites Quantum Computing: Lecture Notes.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum Computing: Lecture Notes

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.709412Z digest=sha256:5943100d29a2d489014d6e54c65d610c87ebb03747015593ab322a16eaf5b064

Observation 7ae1cd1a-55eb-48e6-b62d-112c0314ac46 · outbound

This paper cites Quantum advantage seeker with kernels (quask): a software framework to speed up the research in quantum machine learning.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum advantage seeker with kernels (quask): a software framework to speed up the research in quantum machine learning

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.714268Z digest=sha256:ef1628fd052938003ea3d3d28178be7adec2811316fc3b0aac430c3634b6a0e1

Observation 41166919-2984-43d3-afbf-25d2b7b085f7 · outbound

This paper cites Machine learning & artificial intelligence in the quantum domain: a review of recent progress.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Machine learning & artificial intelligence in the quantum domain: a review of recent progress

Reference 27

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raw_fallback, observed 2026-08-07T11:03:06.015136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.718203Z digest=sha256:66a3d588e528bbe4fa611245444296e0b271ac10ea70ab68e73bcf851dad11cb

Observation 02b0b5df-ea85-4560-8280-9379b1581117 · outbound

This paper cites Deep sketched output kernel regression for structured prediction.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Deep sketched output kernel regression for structured prediction

Reference 28

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raw_fallback, observed 2026-08-07T11:03:06.000813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4a270a44-6727-460a-84ce-fe796d76bcbb · outbound

This paper cites Learning multiple tasks with kernel methods.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Learning multiple tasks with kernel methods

Reference 29

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raw_fallback, observed 2026-08-07T11:03:05.987834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.726167Z digest=sha256:11801813c81007743596239f58acaa130fe31ac28861920f4d027550995a1d01

Observation e6e46b0a-18ae-42f1-8a86-a9907c5d7c46 · outbound

This paper cites Quantum channel identification problem.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum channel identification problem

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.729988Z digest=sha256:7c9e7b5f7e2363dac29e080e70f9ad89f760ccff9df65872fc2e56b368f56ffc

Observation 1e20cf47-ada2-4662-ba76-4f17e40675c2 · outbound

This paper cites Quantum parameter estimation of a generalized pauli channel.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum parameter estimation of a generalized pauli channel

Reference 31

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raw_fallback, observed 2026-08-07T11:03:05.960899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.734458Z digest=sha256:7851bc0982f1a3a74c8c7c0d6992d2256687b707882ab4979e057f9370a85190

Observation fb960e86-4458-48b2-a521-522b13c397d1 · outbound

This paper cites Learning quantum systems.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Learning quantum systems

Reference 32

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raw_fallback, observed 2026-08-07T11:03:05.947359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.738408Z digest=sha256:768d0bc0ff490ba0abc10c3ee59b6f526463c46df2ffbd663b2bc2cf1ea4ba66

Observation bddd6d44-5ed6-45bd-81fe-c039b56a4358 · outbound

This paper cites Quantum kernel alignment with stochastic gradient descent.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum kernel alignment with stochastic gradient descent

Reference 33

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.742330Z digest=sha256:a7ea136ad8e65473e86ca5f8f6c40093fb491aa97655856b6e08d39eaeaff46a

Observation e164681d-7589-4aed-b155-2cf4e781ce9c · outbound

This paper cites Kernelizing the output of tree-based methods.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Kernelizing the output of tree-based methods

Reference 34

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raw_fallback, observed 2026-08-07T11:03:05.919706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation dd0c7ef6-9872-4fff-a788-cc9b9c63e053 · outbound

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

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Understanding quantum machine learning also requires rethinking generalization

Reference 35

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raw_fallback, observed 2026-08-07T11:03:05.906084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.750077Z digest=sha256:1e6245b2d216cf40bd68cbb317cbcaea56c98fefd842807e1afd7788a9092b43

Observation f614e049-f77d-4968-b489-85100811b1b0 · outbound

This paper cites Covariant quantum kernels for data with group structure.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Covariant quantum kernels for data with group structure

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.891712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.754790Z digest=sha256:6faf319f617ceecbc9f83a02885630988699f0c056d0584fabf4187c1f5dcd06

Observation bba0469b-780b-43c7-a834-7029117bce55 · outbound

This paper cites Bounds on entanglement dimensions and quantum graph parameters via noncommutative polynomial optimization.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Bounds on entanglement dimensions and quantum graph parameters via noncommutative polynomial optimization

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.877919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.758911Z digest=sha256:b5e244fde695d2fd3bdf1fca793c31dbaee2b9479bf9d04e7019663dc463cf93

Observation 25e14557-e298-4eb8-9630-87745863e2e5 · outbound

This paper cites A fast quantum mechanical algorithm for database search.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential A fast quantum mechanical algorithm for database search

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.863313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.762854Z digest=sha256:1f8e6e9028373472902244da4803ec8a6a70347a2d2bc979e410ab51c8a7a69a

Observation 46286512-f72f-41c0-b590-16c4542cdcf0 · outbound

This paper cites Reproducing kernel hilbert c*-module and kernel mean embeddings.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Reproducing kernel hilbert c*-module and kernel mean embeddings

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.848591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.766738Z digest=sha256:fe20cf8794f086c1369676b0add08328767932d715c88373068c4fdb6be9ce08

Observation 6090b34f-4c32-40b2-a465-8ce7d62ee25b · outbound

This paper cites Deep learning with kernels through rkhm and the perron-frobenius operator.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Deep learning with kernels through rkhm and the perron-frobenius operator

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.834515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.770779Z digest=sha256:c8bb92cc07f2e8b92fda02ddbd797751434f8ddbf282220f4d4971f61cbc992a

Observation 4cc03201-53b6-4e06-a451-1023a538eae0 · outbound

This paper cites Learning in rkhm: a c*-algebraic twist for kernel machines.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Learning in rkhm: a c*-algebraic twist for kernel machines

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.820830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.774876Z digest=sha256:b6115dbeb6ab3f94a2fece25a59a47016b4e0652a5043569f35729c422f3d227

Observation 5e637136-71d5-466c-8616-2a616c137640 · outbound

This paper cites Spectral Truncation Kernels: Noncommutativity in $C^*$-algebraic Kernel Machines.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Spectral Truncation Kernels: Noncommutativity in $C^*$-algebraic Kernel Machines

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:04.778897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.778897Z digest=sha256:d539b5a4e585eb456f87a0a09faaeaead8602b45a14a1420cd10891355c3e29c

Observation 02449fa7-18bb-4e52-a59c-d023ff10731d · outbound

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

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Supervised learning with quantum-enhanced feature spaces

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.806961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.783159Z digest=sha256:8f09b947df33fbc13db6767cc23008b4b34b7a4d613c8e87bd2358b0f83129d6

Observation 967b293c-5309-4f07-8ef9-1913123a9660 · outbound

This paper cites Noisy quantum kernel machines.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Noisy quantum kernel machines

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.792881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.787229Z digest=sha256:521955f85d468f5c211d006ff7ae0dde62c27c2b111be2fd4e1c6e428d60cecc

Observation 5fcea3c1-a3bc-4d97-ac03-65216b3eb015 · outbound

This paper cites Kernel methods in machine learning.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Kernel methods in machine learning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.778810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.791409Z digest=sha256:3579ccdb119b4863803be50e8b73a37a3b12381d39823db06c145522db058589

Observation 6aedad67-1f92-484c-8a6b-95488b93adf5 · outbound

This paper cites Preimage problem in kernel-based machine learning.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Preimage problem in kernel-based machine learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.765140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.795535Z digest=sha256:d88e1e675a97fb6d78988bde094b27df73a3de81baad78f0e21d27913dee26be

Observation 66d1878c-65c9-4830-afe1-27dd68de620e · outbound

This paper cites an unresolved cited work.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:04.799373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.799373Z digest=sha256:4ccbab1b5a6c741d44e50ff3a793b699591af9c88350cbc7c7023a0890d70675

Observation c730182f-b8e9-4db9-ab6d-d9cb47e08d37 · outbound

This paper cites Training quantum embedding kernels on near-term quantum computers.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Training quantum embedding kernels on near-term quantum computers

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.751698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.803213Z digest=sha256:bfbfd7aef2ca3095b3bed75cc3643239eeec562796e656eed95e5787685efe8e

Observation ae9893a2-a95d-4243-8309-0a536a2389d9 · outbound

This paper cites Entangled kernels - beyond separability.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Entangled kernels - beyond separability

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.737992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.807167Z digest=sha256:2389ce97715cb9dc0061fe9bccc853d5877d29954f8b2d8659dec4048a512b1a

Observation f5e2bb38-28ec-47ca-9dfd-69671e4cf94d · outbound

This paper cites Multi-view metric learning in vector-valued kernel spaces.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Multi-view metric learning in vector-valued kernel spaces

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.724167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.810914Z digest=sha256:f99c0336d663f7b19898270bc681259a1503093509acadce0414d20165a92914

Observation 8158761f-7143-4fe0-a4e6-141ec9c514a0 · outbound

This paper cites Automatic and effective discovery of quantum kernels.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Automatic and effective discovery of quantum kernels

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.709770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.814961Z digest=sha256:4b5036d8ae1a60e90b15ea9f9520156aa74f1e07a75ca264de317e7fa4f8521c

Observation c4752b59-8cca-44c3-84f1-7c15a43a5791 · outbound

This paper cites Seeking a quantum advantage for machine learning.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Seeking a quantum advantage for machine learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.695462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.819369Z digest=sha256:b9a720d93818c83bcf4101ca13b823296e80a4517480fd122c50c14d38f698d6

Observation b5a67acb-a69f-4f18-8d2b-f880c435bcb8 · outbound

This paper cites Quantum machine learning beyond kernel methods.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum machine learning beyond kernel methods

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.681192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.823762Z digest=sha256:c2a3ac00ca5a1baeb8f6464b3c8cf98ea6e03d88be05bb672a19eda092b748e8

Observation 2f98cbd1-9645-45ad-a82b-1bc60d296f0f · outbound

This paper cites Machine learning: Trends, perspectives, and prospects.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Machine learning: Trends, perspectives, and prospects

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.666779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.827633Z digest=sha256:78a3fab8a180b2ec7fcd9520454fc32d6fce1e893e2ff79344117549d20da675

Observation 09e24857-05c8-4e6e-aff7-7a18448b82e2 · outbound

This paper cites On the role of entanglement in quantum-computational speed-up.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential On the role of entanglement in quantum-computational speed-up

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.652182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.831656Z digest=sha256:af4b00c4bfffe58922bfc6e0f63f7cb0c0117d6263443f1595e98972890e750c

Observation 3d1a954d-c193-47fd-a700-2d57ebbe6551 · outbound

This paper cites A generalized kernel approach to structured output learning.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential A generalized kernel approach to structured output learning

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.636593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.835783Z digest=sha256:ca6fcc4553021d59969de9d387ec572decc902be48405e1d3e6e7575ca375825

Observation d59a0143-9e09-4d9c-8c79-fa5f3a75216f · outbound

This paper cites Operator-valued kernels for learning from functional response data.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Operator-valued kernels for learning from functional response data

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.622500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.839710Z digest=sha256:483dcf5df14c3b7f8abcef9f976b464707dd2cd9077553d67272a0ae1732a141

Observation f7f04ac3-d36b-4e89-b2c1-bbb0f3dd47a5 · outbound

This paper cites Double descent in quantum machine learning.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Double descent in quantum machine learning

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:04.843537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.843537Z digest=sha256:a2ea054f214fa220304f951021216ea71e237e3ac933dcaabae438e655d61a29

Observation d4f18ee1-ddc6-461e-8b96-fe1b4ec32826 · outbound

This paper cites u bler, Simon Buchholz, and Bernhard Sch \.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential u bler, Simon Buchholz, and Bernhard Sch \

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.607818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.847441Z digest=sha256:dde4a92d8650433126d6e8dda29aa86d59f8d97b21c8f27e980747bbf8c6df25

Observation 1692b746-1ba6-40c7-8533-98d7376586f7 · outbound

This paper cites Classically approximating variational quantum machine learning with random fourier features.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Classically approximating variational quantum machine learning with random fourier features

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.592827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.851681Z digest=sha256:af5b6e4f12f7855a8f0743704cc04a95a99b79550034aff129133382a604b332

Observation a647a4d6-a10e-4371-82e8-206f77d49821 · outbound

This paper cites Theory of overparametrization in quantum neural networks.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Theory of overparametrization in quantum neural networks

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.576835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.855767Z digest=sha256:6d4e645a3dac0405ffca7c520d219a276dc07c99ede2f29dafcd21cd225d1e4a

Observation 8c92dfdb-9fd8-4346-a0e1-fe25a5cb3698 · outbound

This paper cites Deep learning.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Deep learning

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:04.860085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.860085Z digest=sha256:40f7cf989158cd104657612b1877842d3de4056604c42aea5b0b686a01a01a40

Observation 7019efb3-6bbe-4380-bf37-58b459f4b07a · outbound

This paper cites Operator-valued kernel-based vector autoregressive models for network inference.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Operator-valued kernel-based vector autoregressive models for network inference

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.550529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.864366Z digest=sha256:b6c4ba7e5281822b7a6ea927e7e3203d58266785d2b6a40c4ad437bd369bfbfa

Observation 39c3dc48-a9e2-4ec8-aa3d-e0cb81d40d5f · outbound

This paper cites Random features for kernel approximation: A survey on algorithms, theory, and beyond.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Random features for kernel approximation: A survey on algorithms, theory, and beyond

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.534478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.868562Z digest=sha256:fd281a6d37bcb1ec533077789f0e96cfdc94949affa6059cc2d13eb6fa32f749

Observation f9fa814f-8d0f-4049-b4e3-894126588c01 · outbound

This paper cites A rigorous and robust quantum speed-up in supervised machine learning.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential A rigorous and robust quantum speed-up in supervised machine learning

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.518111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.872822Z digest=sha256:9c05336e9ea81920ac8630435038950b030f382b3994e244a740a54714540364

Observation 07cf3dc9-1883-4be2-b1ad-a53c83eabc13 · outbound

This paper cites Quantum embeddings for machine learning.

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 2223b697-3231-4485-b869-87c2b017be15 · outbound

This paper cites Kernel methods in quantum machine learning.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Kernel methods in quantum machine learning

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.503722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.881376Z digest=sha256:9dc8bbd7dd2f54f98c8f79331e02e620f20d54f870d26af1cfdc1cc179589c90

Observation c3dcbc6c-599b-42df-a12f-25a420d90cf3 · outbound

This paper cites On learning vector-valued functions.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential On learning vector-valued functions

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.490232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.885874Z digest=sha256:83f4aa5d594b67f75ca489b03a4ce9dfabc0f5f85e173182aa38b26124669142

Observation 243cc955-1500-489d-a0d4-c7b7cbd4577a · outbound

This paper cites Quantum Linear System Solvers: A Survey of Algorithms and Applications.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum Linear System Solvers: A Survey of Algorithms and Applications

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:04.890204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.890204Z digest=sha256:e31b416e3cce137e7dd2262ad851b00777fa85be375448cc0650bf46382ae195

Observation 9ffa5e3f-ceb4-43ce-a48b-f2638a91fb84 · outbound

This paper cites Calibrating the role of entanglement in variational quantum circuits.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Calibrating the role of entanglement in variational quantum circuits

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.476129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.894599Z digest=sha256:d4ae1c1f09b91d4b21f015c1dee8011113f3992940e85bb89ed804c6992925f3

Observation 817533d2-14e6-416c-986a-f3e9796fd890 · outbound

This paper cites Quantum computation and quantum information.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum computation and quantum information

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:04.898768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.898768Z digest=sha256:81bfdf41ebe6c02d346fa70bb34c46fd57c62499116f00ac57243887282a5cea

Observation 3784ef01-a35c-4797-b74a-305d17d63f14 · outbound

This paper cites Generalization despite overfitting in quantum machine learning models.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Generalization despite overfitting in quantum machine learning models

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.452299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.903110Z digest=sha256:0d542f2a278b8c696841d3a3c92dd8d8c70a5d27ceec5293377dbcb647e83ce3

Observation 8749a28c-d117-44d7-a15c-c9e576da331d · outbound

This paper cites Quantum computing in the NISQ era and beyond.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum computing in the NISQ era and beyond

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:04.907090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.907090Z digest=sha256:c5c32302b369fb86783ebf57c7a4a63d2d2bd888ba203948083f73acc1e8ba71

Observation 01b65faf-6d3c-4b1b-ba2e-61224807ff02 · outbound

This paper cites Neural quantum kernels: training quantum kernels with quantum neural networks.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Neural quantum kernels: training quantum kernels with quantum neural networks

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:04.911112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.911112Z digest=sha256:7b15cf2c82de9bf1e35ac4a58c4558191b6b3c18d9e7ab5d93727e396e9aa982

Observation 6426502c-d437-4d84-98d3-ca3456a467e1 · outbound

This paper cites Quantum perceptron revisited: Computational-statistical tradeoffs.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum perceptron revisited: Computational-statistical tradeoffs

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.427373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.915566Z digest=sha256:cd840c93f0f39028f0aa64c0e65fec57dbfeace4e846b927101141bc91f47f0a

Observation d836a390-5081-4afc-b63a-c70c864b0f9d · outbound

This paper cites Supervised quantum machine learning models are kernel methods.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Supervised quantum machine learning models are kernel methods

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:04.919706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.919706Z digest=sha256:30d89972523ef17c5fa13da43eb88f4ea3761d471eccbfc47e4cf67d58735b30

Observation b09ea2a8-0208-45da-957f-19b15b168e71 · outbound

This paper cites Quantum machine learning in feature hilbert spaces.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum machine learning in feature hilbert spaces

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.413259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.924350Z digest=sha256:295a0657c7bb51cccf9ccaa384783f42683bc861d964c171b7eb637065ddcea8

Observation c8b451ce-9f25-44b0-af10-7894692b0db2 · outbound

This paper cites Is quantum advantage the right goal for quantum machine learning? Prx Quantum, 3 0 (3): 0 030101, 2022.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Is quantum advantage the right goal for quantum machine learning? Prx Quantum, 3 0 (3): 0 030101, 2022

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.398578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.928555Z digest=sha256:ec83b40753820680846b81a73c209a5d73ebcea87adf1f4f8bdf870fcf0af1f8

Observation 69fd3093-9888-483f-bd80-4fb6309e45b3 · outbound

This paper cites An introduction to quantum machine learning.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential An introduction to quantum machine learning

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.383326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.932634Z digest=sha256:b9ac1244db061f6e8d5487a73c4f4fd11209281d8c683cd7a02c9959e6fa78ba

Observation 3ea9983e-fcf4-4d97-9e42-981736859afc · outbound

This paper cites Schwartz.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Schwartz

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.368645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.936804Z digest=sha256:bcd97d7bba0c34c85decadf33f74dbcb8016ff5d956e6b196ea95c1e8c26f917

Observation 83964875-09cd-42d6-b59d-9c9fafe429f1 · outbound

This paper cites A graph to graphs framework for retrosynthesis prediction.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential A graph to graphs framework for retrosynthesis prediction

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.353875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.940943Z digest=sha256:9a76bfbeb3ab2616a64ce53d4b1d28791f71f29ee7c8a466a1df13defe5d6986

Observation 9330f363-8b42-4c1a-b270-c28fb4a2ec00 · outbound

This paper cites Learning partial differential equations in reproducing kernel hilbert spaces.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Learning partial differential equations in reproducing kernel hilbert spaces

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.339405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.945024Z digest=sha256:3c41e2dbec331605da263b58d47182603044f3541c8b1322a7e67bdd1ed10c98

Observation e2d23ffc-6d58-4800-9010-40d6e7f36c56 · outbound

This paper cites Quantum Fisher kernel for mitigating the vanishing similarity issue.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum Fisher kernel for mitigating the vanishing similarity issue

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:04.949109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.949109Z digest=sha256:5232ec99ca5395ec1b969f70b17ba427479cd1d2bf7beb38d9d7628992fa50c8

Observation aa16af7d-3f3e-4e8e-bf96-ae5c9603b738 · outbound

This paper cites Graphqntk: Quantum neural tangent kernel for graph data.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Graphqntk: Quantum neural tangent kernel for graph data

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.323645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.953741Z digest=sha256:65a05c6af1788adc9e44359fe18c5a5ab5cbbf09e8e3a68fa411a61a1acc37f9

Observation 8b0e4d1b-9495-49c7-a371-e904557246f0 · outbound

This paper cites Quantum positional encodings for graph neural networks.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Quantum positional encodings for graph neural networks

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.308026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.957747Z digest=sha256:04ff5607274f9ddd5fe0ecc084d3354ca96e58cd97a423a1f1bbc0472ae369b4

Observation fd10153f-171a-44b0-8888-d6d3eb94fb7d · outbound

This paper cites Exponential concentration in quantum kernel methods.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Exponential concentration in quantum kernel methods

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.293573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.962081Z digest=sha256:2204006a4690671201f8bd59b06d8684e0ff051b2cdc635ba39e6ba14ec8a36c

Observation 203e69d0-1803-4785-b99f-bb9f3021c1eb · outbound

This paper cites Benign Overfitting with Quantum Kernels.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Benign Overfitting with Quantum Kernels

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:04.966354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.966354Z digest=sha256:c6add2771061634c9dc8ad707243cfe1d059dada777c8b406a1f55f9292febd6

Observation 779a12e8-543d-49b1-813f-f3ec84b3ac6f · outbound

This paper cites Large margin methods for structured and interdependent output variables.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Large margin methods for structured and interdependent output variables

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.279327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.970774Z digest=sha256:039ed34447f09a0afd41d34bfeb6549d897b946b3a6e10b9a44e2bfa88e22579

Observation 803d62fa-2d82-4c34-aca9-dd69e94a002d · outbound

This paper cites Towards understanding the power of quantum kernels in the NISQ era.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Towards understanding the power of quantum kernels in the NISQ era

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.264951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.974960Z digest=sha256:a3a0d5a2678962ecae76146ddb4c5234e49515b24b6707b4356fdbfa8a58db58

Observation 1b56c8f2-13ff-41dc-957a-2842dab72d0b · outbound

This paper cites The theory of quantum information.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential The theory of quantum information

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:03:05.249684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:03:04.979097Z digest=sha256:997341171a68934c184b988a5758df77c68a954d60958302c84317e7d5159403

Observation 1f136991-cae2-4a6b-a749-8b8027ceb312 · outbound

This paper cites Link prediction based on graph neural networks.

Position: Quantum Kernel Machines Should Move Beyond Scalar-Valued Kernels to Realize Their Potential Link prediction based on graph neural networks

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:04.982951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:03:04.982951Z digest=sha256:484986114e90a4bdf263dda102968bb922ea161959200d36c51e9b49dbe2a67b

Pith citing papers

No inbound Pith citation observations are available.