Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2001.09540.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:36:51.534478Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T17:32:06.985870Z
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 4481899b-c04c-42fe-a0a9-51644f306e81 · inbound
ProMi: An Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box Annotations cites this paper.
ProMi: An Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box Annotations Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:36:51.534478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1feee736-3b5e-4fc7-bca5-3b8e927835f6 · inbound
Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation cites this paper.
Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T17:32:06.993237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.