Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large-scale quantum approximate optimization on non-planar graphs with machine learning noise mitigation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.14427.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T05:40:23.208481Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T15:36:34.530661Z
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 bccad894-4991-45f3-8cc6-6771620fd72e · inbound
Optimizing QUBO on a quantum computer by mimicking imaginary time evolution cites this paper.
Optimizing QUBO on a quantum computer by mimicking imaginary time evolution Large-scale quantum approximate optimization on non-planar graphs with machine learning noise mitigation
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:05:26.665039Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b1cbeed-2cf7-4a67-af6b-373cf436f7cf · inbound
Evaluating the Limits of QAOA Parameter Transfer at High-Rounds on Sparse Ising Models With Geometrically Local Cubic Terms cites this paper.
Evaluating the Limits of QAOA Parameter Transfer at High-Rounds on Sparse Ising Models With Geometrically Local Cubic Terms Large-scale quantum approximate optimization on non-planar graphs with machine learning noise mitigation
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T15:36:34.532933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c96ff5d8-5331-4875-af36-fc36290bca26 · inbound
LC-Implicit-QAOA: Active-Workspace-Capped Exact Objective-and-Gradient Evaluation for Training over Bounded QUBO Light Cones cites this paper.
LC-Implicit-QAOA: Active-Workspace-Capped Exact Objective-and-Gradient Evaluation for Training over Bounded QUBO Light Cones Large-scale quantum approximate optimization on non-planar graphs with machine learning noise mitigation
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T05:40:23.208481Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.