Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.10657.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T15:18:49.723482Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T08:51:25.478221Z
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 47752c50-dca8-4db6-bfbb-772400092bd5 · inbound
Parameterized Quantum Circuits as Feature Maps: Representation Quality and Readout Effects in Multispectral Land-Cover Classification cites this paper.
Parameterized Quantum Circuits as Feature Maps: Representation Quality and Readout Effects in Multispectral Land-Cover Classification Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:51:25.480714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8d1e7e8f-1f17-4563-bd71-03520d59ecda · inbound
Parameterized Quantum Circuits as Feature Maps: Representation Quality and Readout Effects in Multispectral Land-Cover Classification cites this paper.
Parameterized Quantum Circuits as Feature Maps: Representation Quality and Readout Effects in Multispectral Land-Cover Classification Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T15:18:49.723482Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.