Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Quantum Self-Attention Neural Networks for Text Classification
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.05625.
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 2026-08-07T05:25:24.724612Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T21:41:16.082134Z
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 e49813e6-8f94-4986-aee2-9e338f677f0a · inbound
Quantum Graph Transformer for NLP Sentiment Classification cites this paper.
Quantum Graph Transformer for NLP Sentiment Classification Quantum Self-Attention Neural Networks for Text Classification
Reference 18
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-07T05:25:24.724612Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1d976d6-99eb-4256-8ab9-7e7d597cec97 · inbound
Do Quantum Transformers Help? A Systematic VQC Architecture Comparison on Tabular Benchmarks cites this paper.
Do Quantum Transformers Help? A Systematic VQC Architecture Comparison on Tabular Benchmarks Quantum Self-Attention Neural Networks for Text Classification
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:41:16.091016Z
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 538af5e6-96d5-45ae-911e-df8b25e6dfa7 · inbound
Advancing Multimodal Fusion on Heterogeneous Medical Data with Hybrid Geometry Attention cites this paper.
Advancing Multimodal Fusion on Heterogeneous Medical Data with Hybrid Geometry Attention Quantum Self-Attention Neural Networks for Text Classification
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:33:14.187247Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.