Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning to Adapt Foundation Model DINOv2 for Capsule Endoscopy Diagnosis
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.10508.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:05:27.061434Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T22:36:17.206080Z
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 3ecda140-5b5b-40b8-8e4b-5e08466f1edc · inbound
FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection cites this paper.
FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection Learning to Adapt Foundation Model DINOv2 for Capsule Endoscopy Diagnosis
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:05:27.061434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b100fd6-edb7-4d90-8274-d7d688240ecf · inbound
MADation: Face Morphing Attack Detection with Foundation Models cites this paper.
MADation: Face Morphing Attack Detection with Foundation Models Learning to Adapt Foundation Model DINOv2 for Capsule Endoscopy Diagnosis
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:50:32.373868Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c117a21-c7d5-4b79-964e-cac8832e6871 · inbound
Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks cites this paper.
Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks Learning to Adapt Foundation Model DINOv2 for Capsule Endoscopy Diagnosis
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T22:36:17.208175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.