Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Interpretable Poverty Mapping using Social Media Data, Satellite Images, and Geospatial Information
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2011.13563.
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 2026-08-12T00:50:10.572313Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T00:50:10.630845Z
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 48454f68-3f70-4752-b5ff-2ada47aa467e · inbound
Joint Utilization of Geospatial and census proxies for Autoencoder-Assisted Downscaling (JUGAAD) of socioeconomic indicators in India cites this paper.
Joint Utilization of Geospatial and census proxies for Autoencoder-Assisted Downscaling (JUGAAD) of socioeconomic indicators in India Interpretable Poverty Mapping using Social Media Data, Satellite Images, and Geospatial Information
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T20:45:19.048152Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d879ac92-b17a-44a2-9e17-8607b2411d0f · inbound
Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil cites this paper.
Crowd-Sourced Geographies of Income: Using Google Maps Points of Interest as High-Frequency Proxies for Sub-Municipal Income Estimation in Sao Paulo, Brazil Interpretable Poverty Mapping using Social Media Data, Satellite Images, and Geospatial Information
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T00:50:10.635976Z
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.