Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How explainable are adversarially-robust CNNs?
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.13042.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T04:40:11.141972Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T16:39:26.663455Z
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 006609de-5b9d-41b5-855c-282ccaf6df6e · inbound
TAB: Transformer Attention Bottlenecks enable User Intervention and Debugging in Vision-Language Models cites this paper.
TAB: Transformer Attention Bottlenecks enable User Intervention and Debugging in Vision-Language Models How explainable are adversarially-robust CNNs?
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:40:11.141972Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50967a3c-a44d-4826-a32f-2efdd06471c8 · inbound
Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts cites this paper.
Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts How explainable are adversarially-robust CNNs?
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:54:37.003248Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2aa9e4c9-268a-4297-b08b-b65b800a2a4d · 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 How explainable are adversarially-robust CNNs?
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T16:39:26.677229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.