Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Stochastic gradient descent for hybrid quantum-classical optimization
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.01155.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:33:25.026495Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T06:42:26.698357Z
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 b1e40a66-7f30-4580-9c18-03e2568ec42c · inbound
Variational-State Quantum Metrology cites this paper.
Variational-State Quantum Metrology Stochastic gradient descent for hybrid quantum-classical optimization
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:33:25.026495Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3dd8649b-28ac-4476-83bd-78e9c5fa8623 · inbound
Optimal quantum control with poor statistics cites this paper.
Optimal quantum control with poor statistics Stochastic gradient descent for hybrid quantum-classical optimization
Reference 102
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:28:19.871261Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02787ae1-03ab-4f2a-9fe6-e4eddaf6467c · inbound
A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics cites this paper.
A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics Stochastic gradient descent for hybrid quantum-classical optimization
Reference 66
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-18T06:42:26.701127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.