Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Visual Attention Methods in Deep Learning: An In-Depth Survey
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2204.07756.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:33:08.887397Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
57
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 32ea3e88-d033-46fa-975a-85b102a9e5fb · inbound
EMOv2: Pushing 5M Vision Model Frontier cites this paper.
EMOv2: Pushing 5M Vision Model Frontier Visual Attention Methods in Deep Learning: An In-Depth Survey
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:33:08.887397Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c60ad1f-6e79-4842-b9ba-f1128387a3bd · inbound
SlotPi: Physics-informed Object-centric Reasoning Models cites this paper.
SlotPi: Physics-informed Object-centric Reasoning Models Visual Attention Methods in Deep Learning: An In-Depth Survey
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:25:21.032090Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb3f22b3-71c8-48c5-b4b1-18d818369da2 · inbound
Resource-Efficient Glioma Segmentation on Sub-Saharan MRI cites this paper.
Resource-Efficient Glioma Segmentation on Sub-Saharan MRI Visual Attention Methods in Deep Learning: An In-Depth Survey
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-04T19:09:29.890511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.