Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Rethinking Positive Aggregation and Propagation of Gradients in Gradient-based Saliency Methods
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.00362.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T16:39:26.191725Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T16:47:10.098661Z
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 bde2ddb3-ff79-42a0-94ce-63de68822e72 · inbound
Assessing the Noise Robustness of Class Activation Maps: A Framework for Reliable Model Interpretability cites this paper.
Assessing the Noise Robustness of Class Activation Maps: A Framework for Reliable Model Interpretability Rethinking Positive Aggregation and Propagation of Gradients in Gradient-based Saliency Methods
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:39:26.191725Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5cc8d2d-e138-43e2-983a-7086f54abf46 · inbound
TEVI: Text-Conditioned Editing of Visual Representations via Sparse Autoencoders for Improved Vision-Language Alignment cites this paper.
TEVI: Text-Conditioned Editing of Visual Representations via Sparse Autoencoders for Improved Vision-Language Alignment Rethinking Positive Aggregation and Propagation of Gradients in Gradient-based Saliency Methods
Reference 180
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T16:47:10.100193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.