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Paper Citation Record · LEDGER

Potential and limitations of random Fourier features for dequantizing quantum machine learning

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.11647.

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

pith.paper-citation-record.v1
2309.11647 v4

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:20:46.653485Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T05:37:36.889174Z

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 eb12f06a-f2ae-4462-8f8e-7f80d1eb49ef · inbound

IQPopt: Fast optimization of instantaneous quantum polynomial circuits in JAX cites this paper.

IQPopt: Fast optimization of instantaneous quantum polynomial circuits in JAX Potential and limitations of random Fourier features for dequantizing quantum machine learning

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:37:36.892414Z

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=2026-05-23T05:35:50.375623Z digest=sha256:b84d18bc60de330a856b74926afbda9d251c71c43ec529ff2c845ff8e44b7c83

Observation d5a591f6-11e1-416c-b026-83320e3d7973 · inbound

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives cites this paper.

The Fourier Wall: Why Public Tabular Datasets Refuse Quantum Advantage, and a Certified Recipe for Where It Lives Potential and limitations of random Fourier features for dequantizing quantum machine learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T22:20:46.653485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:20:46.653485Z digest=sha256:42c8095bee7ac671cca9c42fd69b84c766fdeac7abad616f33b57e05f391e55e