Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.06444.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:24:53.916998Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T22:24:00.686171Z
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 e497a2a5-7819-4c67-a967-71d914187d0a · inbound
Plug-and-Play DISep: Separating Dense Instances for Scene-to-Pixel Weakly-Supervised Change Detection in High-Resolution Remote Sensing Images cites this paper.
Plug-and-Play DISep: Separating Dense Instances for Scene-to-Pixel Weakly-Supervised Change Detection in High-Resolution Remote Sensing Images Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:24:53.916998Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f59795f6-1807-40a0-901b-5db23ba278e4 · inbound
Seg2Change: Adapting Open-Vocabulary Semantic Segmentation Model for Remote Sensing Change Detection cites this paper.
Seg2Change: Adapting Open-Vocabulary Semantic Segmentation Model for Remote Sensing Change Detection Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:36:02.804922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 42acb2ed-49ef-49d9-bcb0-0212c22f4590 · inbound
Multi-Modal Building Inspection via Perceiver IO Fusion of Satellite and Street-Level Imagery cites this paper.
Multi-Modal Building Inspection via Perceiver IO Fusion of Satellite and Street-Level Imagery Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks
Reference 36
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T22:24:00.688051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.