Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2106.07198.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 2026-08-06T20:15:21.460404Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T12:11:57.389032Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation bc78478b-a8aa-4f44-9386-232d9275f74a · inbound
Hybrid Quantum Generative Adversarial Networks To Inverse Design Metasurfaces For Incident Angle-Independent Unidirectional Transmission Classical and Quantum Algorithms for Orthogonal Neural Networks
Reference 49
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cce8768-bbd4-4e90-8754-6470bad1bcd8 · inbound
Hybrid Quantum-Classical Inverse Design of Metasurfaces for Tailored Narrow Band Absorption Classical and Quantum Algorithms for Orthogonal Neural Networks
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09a40c8a-e90b-487c-8d84-c47f4ca42ba3 · inbound
Pitfalls when tackling the exponential concentration of parameterized quantum models Classical and Quantum Algorithms for Orthogonal Neural Networks
Reference 28
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 1cefa57f-0743-4dee-a382-523fbee14712 · inbound
Scalable Quantum Machine Learning: Trainability, Expressivity and Efficiency Classical and Quantum Algorithms for Orthogonal Neural Networks
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.