Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2311.18237.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:20:29.401609Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T15:20:29.625849Z
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 00f27da9-0248-4788-8d8c-5a9da7bb7244 · inbound
Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas cites this paper.
Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-12T15:20:29.629726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.