Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency
As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.04654.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:39:02.985773Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T10:47:14.830759Z
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 790521e5-7ffc-4c36-ba47-74c245b3e44b · inbound
Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing cites this paper.
Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:39:02.985773Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8206eda5-048b-4332-902e-8aec448c7a4b · inbound
ACE: Anatomically Consistent Embeddings in Composition and Decomposition cites this paper.
ACE: Anatomically Consistent Embeddings in Composition and Decomposition DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T19:28:25.655637Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55f8475a-2d03-4bf4-96f6-a9771eca3a7c · inbound
Perceptual Inductive Bias Is What You Need Before Contrastive Learning cites this paper.
Perceptual Inductive Bias Is What You Need Before Contrastive Learning DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T10:47:14.832786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5709b809-1e17-4271-b264-af5ea756a584 · inbound
Investigating Location-Regularised Self-Supervised Feature Learning for Seafloor Visual Imagery cites this paper.
Investigating Location-Regularised Self-Supervised Feature Learning for Seafloor Visual Imagery DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:23:42.352001Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9ee0228-74fa-4eca-ab5e-8320b40a287d · inbound
Beyond Instance-Level Self-Supervision in 3D Multi-Modal Medical Imaging cites this paper.
Beyond Instance-Level Self-Supervision in 3D Multi-Modal Medical Imaging DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency
Reference 70
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:29:47.239630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.