Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Upsampling DINOv2 features for unsupervised vision tasks and weakly supervised materials segmentation
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.19836.
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 2026-08-15T16:44:21.030716Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T06:42:27.794425Z
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 657682d1-132f-4d1c-97fa-9a8db120a33b · inbound
Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark cites this paper.
Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark Upsampling DINOv2 features for unsupervised vision tasks and weakly supervised materials segmentation
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:35:18.398152Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35967d0c-de02-40d2-9319-ae771e0f20a3 · inbound
Maybe you don't need a U-Net: convolutional feature upsampling for materials micrograph segmentation cites this paper.
Maybe you don't need a U-Net: convolutional feature upsampling for materials micrograph segmentation Upsampling DINOv2 features for unsupervised vision tasks and weakly supervised materials segmentation
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:44:21.030716Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c21d6d6b-dad8-46d3-b398-8db8d12df940 · inbound
PANC: Prior-Aware Normalized Cut via Anchor-Augmented Token Graphs cites this paper.
PANC: Prior-Aware Normalized Cut via Anchor-Augmented Token Graphs Upsampling DINOv2 features for unsupervised vision tasks and weakly supervised materials segmentation
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:42:27.796984Z
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.
Observation ba02e0d7-7cd9-4f8f-aa13-cd7a8324982d · inbound
Autonomous Search for Sparsely Distributed Visual Phenomena through Environmental Context Modeling cites this paper.
Autonomous Search for Sparsely Distributed Visual Phenomena through Environmental Context Modeling Upsampling DINOv2 features for unsupervised vision tasks and weakly supervised materials segmentation
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T23:50:28.153875Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93eb0740-6395-4248-8fc2-35685fc9074d · inbound
MapSR: Prompt-Driven Land Cover Map Super-Resolution via Vision Foundation Models cites this paper.
MapSR: Prompt-Driven Land Cover Map Super-Resolution via Vision Foundation Models Upsampling DINOv2 features for unsupervised vision tasks and weakly supervised materials segmentation
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:10:08.678141Z
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.