Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Building Floorspace in China: A Dataset and Learning Pipeline
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2303.02230.
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 2026-08-06T18:35:28.851411Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:35:31.368147Z
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 c81c9edc-03cc-4270-8a04-d48e092ceaa4 · inbound
An Object-Based Deep Learning Approach for Building Height Estimation from Single SAR Images cites this paper.
An Object-Based Deep Learning Approach for Building Height Estimation from Single SAR Images Building Floorspace in China: A Dataset and Learning Pipeline
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:35:31.465922Z
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.