Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.14496.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T06:12:39.481162Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T18:26:55.248591Z
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 5e40b241-4db8-4dd3-9a0a-dda5d3f7d287 · 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 African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T18:26:55.250780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d219e044-2f09-4355-baaa-0e4d9cb482e7 · inbound
Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification? cites this paper.
Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification? African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T14:53:00.560579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7ed380d2-6a3a-4922-b184-8bcc4702654a · inbound
Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning cites this paper.
Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:17:26.674959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 024b2bff-2db0-44de-a964-6b451cab8f28 · inbound
Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models cites this paper.
Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:12:39.481162Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.