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Paper Citation Record · LEDGER

Towards Advantages of Parameterized Quantum Pulses

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.09253.

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

pith.paper-citation-record.v1
2304.09253 v2

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:09:00.990803Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T03:38:50.050122Z

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 9308b5f6-a675-40a5-a099-b7bf85c498e5 · inbound

HQNET: Harnessing Quantum Noise for Effective Training of Quantum Neural Networks in NISQ Era cites this paper.

HQNET: Harnessing Quantum Noise for Effective Training of Quantum Neural Networks in NISQ Era Towards Advantages of Parameterized Quantum Pulses

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:38:50.053082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T03:37:54.406169Z digest=sha256:8c07b0cf909c5d15f764f495951d7cc1969aef1655f08a526bd20ea8b52c219f

Observation 0170fa6f-2db4-4139-b3a8-fc7503628e9c · inbound

Pulsed learning for quantum data re-uploading models cites this paper.

Pulsed learning for quantum data re-uploading models Towards Advantages of Parameterized Quantum Pulses

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-03T17:09:00.990803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:09:00.990803Z digest=sha256:74fe82474e911ed9b91f2f895a7fe67416c702d34a3fc038d21c54983af03ac5