Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Aligning Information Capacity Between Vision and Language via Dense-to-Sparse Feature Distillation for Image-Text Matching
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.14953.
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 2026-08-06T11:20:06.754233Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T11:20:07.339154Z
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 7be0d177-5d8a-404e-b57b-7fcfa95c90c7 · inbound
Modality-Aware Feature Matching in Visual and Vision-Language Applications: A Comprehensive Survey cites this paper.
Modality-Aware Feature Matching in Visual and Vision-Language Applications: A Comprehensive Survey Aligning Information Capacity Between Vision and Language via Dense-to-Sparse Feature Distillation for Image-Text Matching
Reference 131
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T11:20:07.343170Z
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 2cd20453-59c6-4e10-af28-860e8b47f367 · inbound
SEPS: Semantic-enhanced Patch Slimming Framework for fine-grained cross-modal alignment cites this paper.
SEPS: Semantic-enhanced Patch Slimming Framework for fine-grained cross-modal alignment Aligning Information Capacity Between Vision and Language via Dense-to-Sparse Feature Distillation for Image-Text Matching
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T00:26:34.902867Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.