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Paper Citation Record · LEDGER

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1910.01279.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1910.01279 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:16:02.355631Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T12:56:10.678069Z

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 eabd4b56-2eb6-41fd-8478-95611bf34fea · inbound

Automatic Classification and Segmentation of Tunnel Cracks Based on Deep Learning and Visual Explanations cites this paper.

Automatic Classification and Segmentation of Tunnel Cracks Based on Deep Learning and Visual Explanations Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T16:16:02.355631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:16:02.355631Z digest=sha256:a7bc0cb8c0beb4d36434d82a830bf7f642fd74bb696fce2c840cb3365a774435

Observation d6c36c87-90d6-4cd2-b067-75064ce47f57 · inbound

When Can We Trust Deep Neural Networks? Towards Reliable Industrial Deployment with an Interpretability Guide cites this paper.

When Can We Trust Deep Neural Networks? Towards Reliable Industrial Deployment with an Interpretability Guide Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:56:10.682585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T02:34:34.975253Z digest=sha256:2e3e028c3d4b23d364ba35ce119bda11eb3eb9611a6b6c79f8cfbed92eac9f37