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Paper Citation Record · LEDGER

In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2407.15776.

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

pith.paper-citation-record.v1
2407.15776 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:55:41.288624Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T21:25:04.305507Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0d6f4f3c-0782-4514-afa5-2c4e9bad0892 · inbound

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation cites this paper.

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T00:55:41.288624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:55:41.288624Z digest=sha256:c2a0427fb274a21e8c1fa90b6369de756c6ce842c96ced7ee9824dadae164fb9

Observation e437303c-fa84-40da-b3a2-5f0ccb52c1d2 · inbound

Advantages of Co-locating Quantum-HPC Platforms: A Survey for Near-Future Industrial Applications cites this paper.

Advantages of Co-locating Quantum-HPC Platforms: A Survey for Near-Future Industrial Applications In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T00:52:06.783576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:52:06.783576Z digest=sha256:08d28d76fb5d749a1c3887360661cbdddaa927f16ae4c59257247ffee514fd5a

Observation 931e6098-bee6-4b7c-a26b-64fa56365a03 · inbound

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

AQKA: Active Quantum Kernel Acquisition Under a Shot Budget In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:25:04.307383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T21:22:48.644872Z digest=sha256:3d264cf064a2f4d5939b6afb160966a68714b68ab45892882c5af679199ee77a

Observation 8ca80ad5-cce7-4e02-b321-3ed85bbd449d · inbound

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

AQKA: Active Quantum Kernel Acquisition Under a Shot Budget In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T14:05:17.740264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:05:17.740264Z digest=sha256:7c9ed95c210a60f768004abf47d1f096f66bb55f810b30a5c475352464677d5d

Observation cc0ba1a9-012b-44ad-9b4c-edd5dd308dd9 · inbound

Large-Scale Quantum Kernels for Hyperspectral Data Classification cites this paper.

Large-Scale Quantum Kernels for Hyperspectral Data Classification In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:38:16.774898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-20T12:37:30.523376Z digest=sha256:f54c885375f7308db793317e155d38d867d53aeff6ef69143bf1719e2c158b5d

Observation 37d6ae99-ea89-437e-9698-890a0490749e · inbound

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

Adaptive Measurement Allocation for Learning Kernelized SVMs Under Noisy Observations In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:01:15.929528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T07:57:01.429497Z digest=sha256:abfd46af8f941ea21fcabd2d10798518df456c9d492a6378d892da9b86bce569

Observation 3b4ac0ce-4a48-40d1-9f45-dc76bd3a2dc5 · inbound

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

Adaptive Measurement Allocation for Learning Kernelized SVMs Under Noisy Observations In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T13:34:54.876648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:34:54.876648Z digest=sha256:a5b6aa634f6b2a02da8e19bd636fd5a3b20d35db1db296642d22dacdcfa0a316