Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning to Learn with Quantum Optimization via Quantum Neural Networks
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.00561.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:29:31.075578Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T09:16:49.171052Z
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 1836144b-ccfe-4652-8243-b6937a8841f9 · inbound
Special-Unitary Parameterization for Trainable Variational Quantum Circuits cites this paper.
Special-Unitary Parameterization for Trainable Variational Quantum Circuits Learning to Learn with Quantum Optimization via Quantum Neural Networks
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:29:31.075578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a53b7e76-27a1-4fe5-bb88-7e89d8c875a3 · inbound
Quantum Adaptive Excitation Network with Variational Quantum Circuits for Channel Attention cites this paper.
Quantum Adaptive Excitation Network with Variational Quantum Circuits for Channel Attention Learning to Learn with Quantum Optimization via Quantum Neural Networks
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:19:25.018999Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation becaefcf-7af1-4dc9-976c-068a07a61207 · inbound
Setting angles in quantum approximate optimization at utility-scale cites this paper.
Setting angles in quantum approximate optimization at utility-scale Learning to Learn with Quantum Optimization via Quantum Neural Networks
Reference 106
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T09:16:49.172522Z
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.