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Paper Citation Record · LEDGER

Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2103.13859.

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

pith.paper-citation-record.v1
2103.13859 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:01:15.429725Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:56:10.661749Z

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 11836526-7bba-49c6-b17b-f78fd96957b3 · inbound

Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach cites this paper.

Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T14:46:12.261907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:46:12.261907Z digest=sha256:ec16dd4873449915f381aa13159c03e0d4e1c10543a2d205edbe09b5036be35f

Observation 8e4a90b0-677b-4746-a1f1-b92c323a7929 · inbound

ODExAI: A Comprehensive Object Detection Explainable AI Evaluation cites this paper.

ODExAI: A Comprehensive Object Detection Explainable AI Evaluation Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-16T06:01:15.429725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:01:15.429725Z digest=sha256:5be0802190c34a2a5cdb7a0d1ef92b917f5dcd71699db204de5dba128a38503a

Observation 00a0353a-c665-478a-96a1-0d0bd3e1a143 · inbound

Region-Aware CAM: High-Resolution Weakly-Supervised Defect Segmentation via Salient Region Perception cites this paper.

Region-Aware CAM: High-Resolution Weakly-Supervised Defect Segmentation via Salient Region Perception Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T21:59:36.225442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:59:36.225442Z digest=sha256:a11bbc8738b2599248a55cee1414f45aeb41975607d8d5cd25c2cf54c01a40b2

Observation 9ca60b68-d689-472a-908c-98c60fcbaf62 · 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 Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:56:10.665690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T02:34:34.975253Z digest=sha256:2bf75fd540fd81329cf28f9d78001d6c7b89d701b3562c3527c066216eaf33e9