Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Benchmarking Quantum Convolutional Neural Networks for Signal Classification in Simulated Gamma-Ray Burst Detection
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.17041.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:43:16.588321Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T17:38:57.317808Z
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 0d510df2-ba74-434c-9d23-cf3aad90197b · inbound
Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators cites this paper.
Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators Benchmarking Quantum Convolutional Neural Networks for Signal Classification in Simulated Gamma-Ray Burst Detection
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:43:16.588321Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfff5634-474d-4bea-8c96-ff7cfb1d02eb · inbound
Comparing Quantum Machine Learning Approaches in Astrophysical Signal Detection cites this paper.
Comparing Quantum Machine Learning Approaches in Astrophysical Signal Detection Benchmarking Quantum Convolutional Neural Networks for Signal Classification in Simulated Gamma-Ray Burst Detection
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:38:57.399553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.