Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.13951.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T11:57:01.269431Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T15:30:07.721900Z
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 5874ae33-7b1e-4858-9304-0e234f74f0e4 · inbound
ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking cites this paper.
ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:57:01.269431Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73b93b3c-79a4-4988-b8dc-d74e48b9516a · inbound
IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation cites this paper.
IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T15:30:07.725398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.