Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Parameterized quantum circuits as machine learning models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1906.07682.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:45:13.776816Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T13:15:45.270746Z
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 0e3f0d37-3e04-401c-824f-deb5c1c70493 · inbound
Experimental investigation of single qubit quantum classifier with small number of samples cites this paper.
Experimental investigation of single qubit quantum classifier with small number of samples Parameterized quantum circuits as machine learning models
Reference 26
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-06T19:45:13.776816Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8cfff1a-993d-4835-8e40-0d3e07f37994 · inbound
Continuous-variable photonic quantum extreme learning machines for fast collider-data selection cites this paper.
Continuous-variable photonic quantum extreme learning machines for fast collider-data selection Parameterized quantum circuits as machine learning models
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:43:37.579742Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 291b5f87-76d6-42fa-9bec-00a8df16c5f4 · inbound
Quantum Machine Learning for particle scattering entanglement classification cites this paper.
Quantum Machine Learning for particle scattering entanglement classification Parameterized quantum circuits as machine learning models
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:25:51.220665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4d331f71-c60b-4078-b13e-0cbec0d5497d · inbound
Evaluating quantum circuits in the reservoir computing paradigm cites this paper.
Evaluating quantum circuits in the reservoir computing paradigm Parameterized quantum circuits as machine learning models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:46:04.737740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5974de77-b9f1-4cff-8d0c-c995652377e2 · inbound
Evaluating quantum circuits in the reservoir computing paradigm cites this paper.
Evaluating quantum circuits in the reservoir computing paradigm Parameterized quantum circuits as machine learning models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T13:15:45.272254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.