Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Understanding the effects of data encoding on quantum-classical convolutional neural networks
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.03027.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:53:42.212998Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T01:31:57.944832Z
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 01eeac7f-d4c1-4f34-a0c6-ed8ff6477784 · inbound
Evaluating Angle and Amplitude Encoding Strategies for Variational Quantum Machine Learning: their impact on model's accuracy cites this paper.
Evaluating Angle and Amplitude Encoding Strategies for Variational Quantum Machine Learning: their impact on model's accuracy Understanding the effects of data encoding on quantum-classical convolutional neural networks
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T01:31:57.947330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b5a7b66f-7256-48a9-b234-904aa948ecfd · inbound
Is data-efficient learning feasible with quantum models? cites this paper.
Is data-efficient learning feasible with quantum models? Understanding the effects of data encoding on quantum-classical convolutional neural networks
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:53:42.212998Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.