Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:46:46.289660Z
Paper Citation Record · LEDGER
Deep Green Function Convolution for Improving Saliency in Convolutional Neural Networks
As of 16 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:1908.08331.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
3 of 3 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1683ee35-f61e-4780-a6b9-e6554c06c5e6 · outbound
This paper cites https://doi.org/10.1109/CVPR.2017.65.
Deep Green Function Convolution for Improving Saliency in Convolutional Neural Networks https://doi.org/10.1109/CVPR.2017.65
Reference 549
- Resolution
- verified exact
- doi, observed 2026-08-14T11:46:46.323327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d86df3ce-a491-421f-860c-7e4583cba982 · outbound
This paper cites Computing the Spatial Probability of Inclusion inside Partial Contours for Computer Vision Applications.
Deep Green Function Convolution for Improving Saliency in Convolutional Neural Networks Computing the Spatial Probability of Inclusion inside Partial Contours for Computer Vision Applications
Reference 3677
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-14T11:46:46.353084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4bf70a90-f354-4ffe-8c7f-7bd04e27ca05 · outbound
This paper cites What do different evaluation metrics tell us about saliency models?.
Deep Green Function Convolution for Improving Saliency in Convolutional Neural Networks What do different evaluation metrics tell us about saliency models?
Reference 3805
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:46:46.289660Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.