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Paper Citation Record · LEDGER

Exponential concentration in quantum kernel methods

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2208.11060.

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

pith.paper-citation-record.v1
2208.11060 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T06:06:22.423845Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 49bf1d23-8e2e-46b1-aaa0-9a86edeba08a · inbound

Quantum Annealing based Feature Selection in Machine Learning cites this paper.

Quantum Annealing based Feature Selection in Machine Learning Exponential concentration in quantum kernel methods

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T06:06:22.423845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T06:06:22.423845Z digest=sha256:6be0e1bbf1c99d0ba86defd33933f1ae217b84519ca79ad55692b7ab7992ae85

Observation 92720029-ba28-4674-8c7a-d4fe28bc7b69 · inbound

Schmidt quantum compressor cites this paper.

Schmidt quantum compressor Exponential concentration in quantum kernel methods

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T10:49:19.443792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:49:19.443792Z digest=sha256:4823598729a64a09f7869f75c0bfccf12b4a64f874baf797e5afc3e69f1b3442

Observation 3ef98e7a-1b8c-4ca8-9acf-0ef3f1178461 · inbound

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

Neural quantum embedding via deterministic quantum computation with one qubit Exponential concentration in quantum kernel methods

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T14:31:19.561133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:31:19.561133Z digest=sha256:5b30b9588b0f43695b480b19ec79f07dc70ab7f889d96c3a8511adfcbc69f04f

Observation d48c059c-a918-434b-a54d-52f85d218626 · inbound

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

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Exponential concentration in quantum kernel methods

Reference 144

Resolution
unresolved
no resolver link, observed 2026-08-09T16:30:40.029160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:30:40.029160Z digest=sha256:7fed14974642b7f455629cf76b48c68b0329d84dcff634d1b24b3902e41ff36f

Observation dd387cfe-1ef7-4031-98a5-41960de75a29 · inbound

Opportunities and challenges of quantum computing for climate modelling cites this paper.

Opportunities and challenges of quantum computing for climate modelling Exponential concentration in quantum kernel methods

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T19:25:22.747590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:25:22.747590Z digest=sha256:d264b26035da07da2b935c44ddcb89853901cf2a46886c51ff417b8357bf8842

Observation d368a4b6-5e01-493f-bc42-2f47e8d36b8f · inbound

Concentration-Free Quantum Kernel Learning in the Rydberg Blockade cites this paper.

Concentration-Free Quantum Kernel Learning in the Rydberg Blockade Exponential concentration in quantum kernel methods

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T20:14:59.197469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:14:59.197469Z digest=sha256:df17e3c5ac46976b55e81393cf078cc249d3d4ebac95baf5a2209bdae989c46d

Observation 6403b65e-fa32-4c0a-8f7a-f3344a44fac0 · inbound

Eliminating Vendor Lock-In in Quantum Machine Learning via Framework-Agnostic Neural Networks cites this paper.

Eliminating Vendor Lock-In in Quantum Machine Learning via Framework-Agnostic Neural Networks Exponential concentration in quantum kernel methods

Reference 57

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T20:05:46.019765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-10T20:00:56.095201Z digest=sha256:94c84693cc0509c96aed12e5ab84f7a953153a9967d19857cb2f329d34efbd68

Observation aac514a8-8449-4cee-bd5a-b8c7c5b2323c · inbound

Double Descent in Quantum Kernel Ridge Regression cites this paper.

Double Descent in Quantum Kernel Ridge Regression Exponential concentration in quantum kernel methods

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:46:37.396494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T06:42:30.100063Z digest=sha256:037e298ad0509a3111bbc62fc21869e94ab2ea947dda66c97282e9cf7725c588

Observation 6cc6500b-3f27-476f-b8e8-ccd93f14d000 · inbound

Benchmarking a machine-learning differential equations solver on a neutral-atom logical processor cites this paper.

Benchmarking a machine-learning differential equations solver on a neutral-atom logical processor Exponential concentration in quantum kernel methods

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:39:34.967965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-21T04:39:16.463390Z digest=sha256:803fef2a428ef82efbb991b6982c48138134e2d7b5359d732d48cb760fdc4e29

Observation 5d5fd12d-49a1-449d-9504-b2752dbafd56 · inbound

Quantum encodings that preserve persistent homology cites this paper.

Quantum encodings that preserve persistent homology Exponential concentration in quantum kernel methods

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-06-29T11:53:24.444152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T11:45:53.392594Z digest=sha256:5babf0c94898b041d964a791fce9ed5240f6ebf344dab4e070ed6a993679e5fd

Observation 7ac01d2c-b974-4432-868d-09ae1204e617 · inbound

Support Vector Machine with a Scalable Quantum Kernel cites this paper.

Support Vector Machine with a Scalable Quantum Kernel Exponential concentration in quantum kernel methods

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:56:10.313412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T21:59:04.204150Z digest=sha256:58498f2cf4246d905b981f18b0d62881aa8717ee0157c911ef9f2edd598ec31e