Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Few-Shot Object Detection via Variational Feature Aggregation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2301.13411.
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 2026-08-06T15:39:16.224794Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T05:20:54.350197Z
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 e251bd6e-e9a2-4589-a8d2-6c73c8e0e1e6 · inbound
Few-Shot Object Detection via Spatial-Channel State Space Model cites this paper.
Few-Shot Object Detection via Spatial-Channel State Space Model Few-Shot Object Detection via Variational Feature Aggregation
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:39:16.224794Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe3df86b-b49e-4238-bd51-419cd4990fa3 · inbound
Few-Shot Learning in Video and 3D Object Detection: A Survey cites this paper.
Few-Shot Learning in Video and 3D Object Detection: A Survey Few-Shot Object Detection via Variational Feature Aggregation
Reference 179
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:00:45.107223Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01ccd6bc-75a2-4025-a6e8-c566d792ebb4 · inbound
Enhancing Few-Shot Classification of Benchmark and Disaster Imagery with ABHFA-Net cites this paper.
Enhancing Few-Shot Classification of Benchmark and Disaster Imagery with ABHFA-Net Few-Shot Object Detection via Variational Feature Aggregation
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:20:54.352012Z
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.