Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.06513.
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 2026-08-07T14:40:12.837191Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T04:05:59.827693Z
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 86c5957a-7e3a-4a2d-9009-c3a615c55029 · inbound
SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios cites this paper.
SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:40:12.837191Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a94c8238-49d6-4c4d-8fce-25b8fe2de58b · inbound
Exposing and Mitigating Temporal Attack in Deepfake Video Detection cites this paper.
Exposing and Mitigating Temporal Attack in Deepfake Video Detection Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:05:59.831535Z
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.
Observation 17a34a6f-8fd3-46c6-8a05-67961826e038 · inbound
EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding cites this paper.
EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:08:30.257012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.