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Paper Citation Record · LEDGER

Optimal algorithmic complexity of inference in quantum kernel methods

As of 6 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 2 inbound Pith citation observations for arXiv:2604.15214.

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

pith.paper-citation-record.v1
2604.15214 v2

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T11:55:39.757540Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:34:55.465050Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-22T08:01:15.951708Z

Reference resolution

6 of 6 outbound references displayed

  • verified exact1
  • verified fuzzy4
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5f926077-471b-48ab-b2aa-e9b3e9423cfb · outbound

This paper cites Each measurement of the auxiliary register yields outcome|0⟩with probabilityp=a 2, so estimatinga reduces to estimating the Bernoulli parameterpand taking a square root.

Optimal algorithmic complexity of inference in quantum kernel methods Each measurement of the auxiliary register yields outcome|0⟩with probabilityp=a 2, so estimatinga reduces to estimating the Bernoulli parameterpand taking a square root

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T12:33:05.547493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T11:55:39.757540Z digest=sha256:f62e2e0fb01257a5dbb9c200046ee0629f49c257af803118d165a1bb641f27fe

Observation 833c1efd-a022-4b15-8225-8f275c7b28c4 · outbound

This paper cites Quantum computing and artificial intelligence: status and perspectives.

Optimal algorithmic complexity of inference in quantum kernel methods Quantum computing and artificial intelligence: status and perspectives

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:00:22.287596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T11:55:39.757540Z digest=sha256:02d49d062e6a7baebc9e429d20ffeae671e3ac5c24a62794519522c9c708ba71

Observation 8d92c701-6ae1-4fb1-80c4-e65bf6b1d1e5 · outbound

This paper cites We next specialize the template into the four possible choices.

Optimal algorithmic complexity of inference in quantum kernel methods We next specialize the template into the four possible choices

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T12:33:05.544886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T11:55:39.757540Z digest=sha256:6abf0c5f6314c0796dbde10a8d48a4b73fe153ecd36dc950c95dee30b642a12e

Observation 3912ffa2-1751-4872-89a0-e6d1373eba89 · outbound

This paper cites M}:M∈ O(ε −2/rN∥α∥ 2/r 2 ).

Optimal algorithmic complexity of inference in quantum kernel methods M}:M∈ O(ε −2/rN∥α∥ 2/r 2 )

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T12:33:05.537328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T11:55:39.757540Z digest=sha256:6a4c16bc655a7086e4694f58a116b972350b8c7bb3252b5223ca33d7329db907

Observation 074c0e64-2e33-4de5-aabd-04049602fc7a · outbound

This paper cites an unresolved cited work.

Optimal algorithmic complexity of inference in quantum kernel methods Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-19T12:33:05.539500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T11:55:39.757540Z digest=sha256:b452445189bab8e8a0834d7d953a69f36a4cc8f4f9fdbf52c63c88a752c1c12b

Observation 7792631c-a6de-428c-9ca7-85df412ab9e0 · outbound

This paper cites Unlike for the case of list-and-sum, there is no single template from which all results follow, but rather we present each scenario individually.

Optimal algorithmic complexity of inference in quantum kernel methods Unlike for the case of list-and-sum, there is no single template from which all results follow, but rather we present each scenario individually

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T12:33:05.541994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T11:55:39.757540Z digest=sha256:69b69ea5fe1f1d36a2ac212203645ab0b8bd07be4f2a90fd23287395ada1581e

Pith citing papers

Observation 6ab2847d-a454-4f10-aad2-853655d5c704 · inbound

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

Adaptive Measurement Allocation for Learning Kernelized SVMs Under Noisy Observations Optimal algorithmic complexity of inference in quantum kernel methods

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-22T08:01:15.954152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T07:57:01.429497Z digest=sha256:c8f87c9647b4ad55849cf6986639310806ef9b03ecd6b0cfe839c0234bf82c64

Observation 0d36261e-321c-4a32-97ac-1a28698fdc31 · inbound

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

Adaptive Measurement Allocation for Learning Kernelized SVMs Under Noisy Observations Optimal algorithmic complexity of inference in quantum kernel methods

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T13:34:55.465050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:34:55.465050Z digest=sha256:c862d7e87a6ef93c4df0932442e9ff149071eb43394502bb315ad9a90304a7ab