Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.14064.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:12:25.414652Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T15:12:25.563904Z
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 0bac0343-9213-4f0c-898b-c7ae0f3ca397 · inbound
Analyzing Hierarchical Structure in Vision Models with Sparse Autoencoders cites this paper.
Analyzing Hierarchical Structure in Vision Models with Sparse Autoencoders HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:12:25.643590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 51e350e9-49b2-4800-99a5-e8787c93aa51 · 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 HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:12:39.481162Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.