Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.03298.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:54:35.775220Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T02:42:56.269732Z
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 adb3b119-1255-4cda-bc58-71866dbebfb1 · inbound
GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration cites this paper.
GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:54:35.775220Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b9d1cbc-871a-4a90-9d88-a0115738f2f1 · inbound
Dataset Augmentation by Mixing Visual Concepts cites this paper.
Dataset Augmentation by Mixing Visual Concepts Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:32:39.143586Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fbb2ae3-0ed0-4d7a-b83c-ee85334f0934 · inbound
Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation cites this paper.
Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T02:42:56.272855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.