Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey on the Robustness of Computer Vision Models against Common Corruptions
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.06024.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:15:54.766783Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T18:02:32.821865Z
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 bd5caff5-17a8-47cf-b8cc-6faa2779ee90 · inbound
Look Within or Look Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning cites this paper.
Look Within or Look Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning A Survey on the Robustness of Computer Vision Models against Common Corruptions
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:15:54.766783Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8839ae85-9f93-4934-a8f1-0e3938841847 · inbound
RT-VLM: Re-Thinking Vision Language Model with 4-Clues for Real-World Object Recognition Robustness cites this paper.
RT-VLM: Re-Thinking Vision Language Model with 4-Clues for Real-World Object Recognition Robustness A Survey on the Robustness of Computer Vision Models against Common Corruptions
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:57:50.029553Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c37f3d8d-2c5b-4fc4-8e4d-a4fb8e0af1c1 · inbound
What Limits Vision-and-Language Navigation ? cites this paper.
What Limits Vision-and-Language Navigation ? A Survey on the Robustness of Computer Vision Models against Common Corruptions
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T18:02:32.825009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.