Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.04523.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:10:08.675436Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T20:18:24.010270Z
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 062f0683-f07f-4581-94c9-013f83b02140 · inbound
SinkSAM-Net: Knowledge-Driven Self-Supervised Sinkhole Segmentation Using Topographic Priors and Segment Anything Model cites this paper.
SinkSAM-Net: Knowledge-Driven Self-Supervised Sinkhole Segmentation Using Topographic Priors and Segment Anything Model Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T20:18:24.013789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b6f563dd-e5d2-4029-99d9-7b008ccf642a · inbound
Zero-Shot Tree Detection and Segmentation from Aerial Forest Imagery cites this paper.
Zero-Shot Tree Detection and Segmentation from Aerial Forest Imagery Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:08.675436Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.