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Paper Citation Record · LEDGER

Noisy Quantum Kernel Machines

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.12192.

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

pith.paper-citation-record.v1
2204.12192 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:56:01.099923Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T04:39:35.056228Z

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 5ed2b554-208d-454f-b56c-77be922888f8 · inbound

Regularizing quantum loss landscapes by noise injection cites this paper.

Regularizing quantum loss landscapes by noise injection Noisy Quantum Kernel Machines

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T21:56:01.099923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:56:01.099923Z digest=sha256:d3ed3e7548103b0a609767201730c6c1cdd0f0fe77902c4147b4edb6ff685802

Observation 52f4135a-0902-43aa-86c5-8f1e04ef7952 · 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 Noisy Quantum Kernel Machines

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:39:35.057970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-21T04:39:16.463390Z digest=sha256:7c7271050fb1ce0be1c67ebf65e4af3f94035a66e888b800cf1e6dae42354be2