Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TAX: Tendency-and-Assignment Explainer for Semantic Segmentation with Multi-Annotators
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.09561.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T14:48:58.610995Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T08:21:24.014862Z
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 77fbfd45-478e-4f58-9a85-abaa28d7114f · inbound
QuMAB: Query-based Multi-Annotator Behavior Modeling with Reliability under Sparse Labels cites this paper.
QuMAB: Query-based Multi-Annotator Behavior Modeling with Reliability under Sparse Labels TAX: Tendency-and-Assignment Explainer for Semantic Segmentation with Multi-Annotators
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:48:58.610995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e217e22-55cd-44a5-8a5f-cd521d0b3d42 · inbound
Harmonized Feature Conditioning and Frequency-Prompt Personalization for Multi-Rater Medical Segmentation cites this paper.
Harmonized Feature Conditioning and Frequency-Prompt Personalization for Multi-Rater Medical Segmentation TAX: Tendency-and-Assignment Explainer for Semantic Segmentation with Multi-Annotators
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:21:24.017894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.