Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2402.19401.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:15:13.011054Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T04:15:13.355475Z
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 6266c424-d5fc-4c82-9fd4-719849be96e2 · inbound
SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks cites this paper.
SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance
Reference 64
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T04:15:13.360178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.