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Paper Citation Record · LEDGER

Active Quantum Kernel Acquisition for Gaussian Process Regression

As of 12 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2606.28833.

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

pith.paper-citation-record.v1
2606.28833 v3

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T11:15:26.744292Z

measured 6 of 6 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 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

6 of 6 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a0844d42-9ea0-424f-87e4-2d96a9b7b84e · outbound

This paper cites InArtificial intelligence and statistics, 207–215.

Active Quantum Kernel Acquisition for Gaussian Process Regression InArtificial intelligence and statistics, 207–215

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-12T11:15:26.744292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:15:26.744292Z digest=sha256:5e3615a83a3b83045b5357d36b6d7008485a896b282641fdd848316223ce2e2a

Observation 7bcce1f9-42bd-49d7-8bcd-ffa21f9f9a93 · outbound

This paper cites Adaptive Measurement Allocation for Learning Kernelized SVMs Under Noisy Observations.

Active Quantum Kernel Acquisition for Gaussian Process Regression Adaptive Measurement Allocation for Learning Kernelized SVMs Under Noisy Observations

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-12T11:15:26.744292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:15:26.744292Z digest=sha256:b9baa3a2de24dc027bd12e97314849ebae0b11538bdfbe394961f25107e0634f

Observation 7a1e7128-31d8-48c8-a96c-3fa81a21678a · outbound

This paper cites InBreakthroughs in statis- tics: Methodology and distribution, 123–150.

Active Quantum Kernel Acquisition for Gaussian Process Regression InBreakthroughs in statis- tics: Methodology and distribution, 123–150

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-12T11:15:26.744292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:15:26.744292Z digest=sha256:f8feacc79ebd623adb5ad8b3c2dce26ed2bebe60a5dff2f1e7773e4720ec0822

Observation 1ee4438d-e2e9-47f7-a875-2059a934733d · outbound

This paper cites Quantummachinelearn- inginfeatureHilbertspaces.Physicalreviewletters,122(4): 040504.

Active Quantum Kernel Acquisition for Gaussian Process Regression Quantummachinelearn- inginfeatureHilbertspaces.Physicalreviewletters,122(4): 040504

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-12T11:15:26.744292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:15:26.744292Z digest=sha256:85bb42e794daaddb9a34076bb38b8e9b45b22a8f16a51d4446f0e46344090d6b

Observation ef6975eb-1cbc-4caa-8c87-e8f62b31a3b1 · outbound

This paper cites Snelson,E.;andGhahramani,Z.2005.

Active Quantum Kernel Acquisition for Gaussian Process Regression Snelson,E.;andGhahramani,Z.2005

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-12T11:15:26.744292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:15:26.744292Z digest=sha256:117e83e6f432abe71dbfc738b55985a82f17be28991bdbca75044cf4f4664e2d

Observation 06c0845c-82f3-4463-8098-88d37a5cf5ad · outbound

This paper cites AQKA: Active Quantum Kernel Acquisition Under a Shot Budget.

Active Quantum Kernel Acquisition for Gaussian Process Regression AQKA: Active Quantum Kernel Acquisition Under a Shot Budget

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-12T11:15:26.744292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:15:26.744292Z digest=sha256:62d2856ea9a555f5fbfa03b7988dc75d1d38a12902b3d1fb456d5b9f5d89eb0a

Pith citing papers

No inbound Pith citation observations are available.