Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Machine-Learning-Enhanced Optimization of Noise-Resilient Variational Quantum Eigensolvers
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.17689.
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 2026-07-12T08:37:58.606121Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 7721d43b-ea91-4964-9d42-517812eaf80d · inbound
Bayesian Parameter Shift Rule in Variational Quantum Eigensolvers cites this paper.
Bayesian Parameter Shift Rule in Variational Quantum Eigensolvers Machine-Learning-Enhanced Optimization of Noise-Resilient Variational Quantum Eigensolvers
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:37:27.638606Z
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.
Observation 9ce7abf6-e510-4705-91ce-b416fd2c6843 · inbound
Comparing the Performance of Leading VQE Algorithms for Computing Ground-State Energies of Amino Acids cites this paper.
Comparing the Performance of Leading VQE Algorithms for Computing Ground-State Energies of Amino Acids Machine-Learning-Enhanced Optimization of Noise-Resilient Variational Quantum Eigensolvers
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T08:37:58.606121Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.