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Paper Citation Record · LEDGER

Physics-informed neural networks for quantum control

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.06287.

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

pith.paper-citation-record.v1
2206.06287 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:45:26.549068Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:52:43.539413Z

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 51182dad-3ccd-42f5-ae78-8e863268d7ce · inbound

Development of Neural Network-Based Optimal Control Pulse Generator for Quantum Logic Gates Using the GRAPE Algorithm in NMR Quantum Computer cites this paper.

Development of Neural Network-Based Optimal Control Pulse Generator for Quantum Logic Gates Using the GRAPE Algorithm in NMR Quantum Computer Physics-informed neural networks for quantum control

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-21T00:19:47.874848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T07:52:40.090900Z digest=sha256:ac21078c7c5df6564868c12761b602cd0984fd3639d0639bf779bc8b2f812729

Observation 1b227d65-2ade-4132-b644-00d1c616a1aa · inbound

Control of Overfitting with Physics cites this paper.

Control of Overfitting with Physics Physics-informed neural networks for quantum control

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T15:45:26.549068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:45:26.549068Z digest=sha256:d58dff8d3960f9341c09421fc07d09be87030633b3699bed15be49b2ffa386e6