Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Self-guided Few-shot Semantic Segmentation for Remote Sensing Imagery Based on Large Vision Models
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2311.13200.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:12:07.603205Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T17:12:08.240930Z
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 0a847068-fa37-41eb-9b9b-f9f20f55a93d · inbound
fabSAM: A Farmland Boundary Delineation Method Based on the Segment Anything Model cites this paper.
fabSAM: A Farmland Boundary Delineation Method Based on the Segment Anything Model Self-guided Few-shot Semantic Segmentation for Remote Sensing Imagery Based on Large Vision Models
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T17:12:08.246673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.