Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Neural Attention Models in Deep Learning: Survey and Taxonomy
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.05909.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:29:25.309690Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T12:39:49.435256Z
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 caf678d0-260c-47ad-b13a-a16b46debf81 · inbound
Ensemble-Based Survival Models with the Self-Attended Beran Estimator Predictions cites this paper.
Ensemble-Based Survival Models with the Self-Attended Beran Estimator Predictions Neural Attention Models in Deep Learning: Survey and Taxonomy
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:29:25.309690Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cf84808-24a3-4ba9-9637-5815367014f6 · inbound
Tighter Bounds for Algorithmic Complexity Estimation Using a Reusable Code-Based Block Decomposition Method cites this paper.
Tighter Bounds for Algorithmic Complexity Estimation Using a Reusable Code-Based Block Decomposition Method Neural Attention Models in Deep Learning: Survey and Taxonomy
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T12:39:49.436661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.