Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Attention Augmented Convolutional Networks
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1904.09925.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:23:10.201427Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T09:16:14.525323Z
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 0c5ff4f6-34cb-4c2f-98ed-a59b440c7466 · inbound
Rethinking Attention with Performers cites this paper.
Rethinking Attention with Performers Attention Augmented Convolutional Networks
Reference 106
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:16:14.527858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 366e2afd-7e77-4b1b-ac28-408771b831dc · inbound
The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases cites this paper.
The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Attention Augmented Convolutional Networks
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:23:10.201427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93779a89-dafa-4a54-8382-aab8ed8c199b · inbound
TPCNet: Representation learning for HI mapping cites this paper.
TPCNet: Representation learning for HI mapping Attention Augmented Convolutional Networks
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:39:03.552236Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.