Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MetaFormer: A Unified Meta Framework for Fine-Grained Recognition
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.02751.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:33:35.226751Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T23:59:06.684870Z
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 abaff31c-67ff-439a-b952-cd88f1f17d56 · inbound
Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive Evaluation cites this paper.
Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive Evaluation MetaFormer: A Unified Meta Framework for Fine-Grained Recognition
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T18:26:55.293122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6a852324-5400-4325-aa1f-5a5393aab46e · inbound
Towards Continuous Home Cage Monitoring: An Evaluation of Tracking and Identification Strategies for Laboratory Mice cites this paper.
Towards Continuous Home Cage Monitoring: An Evaluation of Tracking and Identification Strategies for Laboratory Mice MetaFormer: A Unified Meta Framework for Fine-Grained Recognition
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:33:35.226751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b7a3d1c-07cf-4289-b4a7-13b5e5b16a42 · inbound
Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: From Evaluation to Diagnosis cites this paper.
Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: From Evaluation to Diagnosis MetaFormer: A Unified Meta Framework for Fine-Grained Recognition
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T23:59:06.687859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.