Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.17624.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T05:05:12.766130Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T10:17:01.596492Z
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 b735f5be-82f1-4319-aa62-2411dabbb4b6 · inbound
No Location Left Behind: Measuring and Improving the Fairness of Implicit Representations for Earth Data cites this paper.
No Location Left Behind: Measuring and Improving the Fairness of Implicit Representations for Earth Data Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T05:05:12.766130Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83f2b2c2-9a84-484f-bbb0-ba404e2ac42e · inbound
Enhancing the KidSat Model: Integrating Geographical Encoding and Data Quality Assessment for Childhood Poverty Prediction cites this paper.
Enhancing the KidSat Model: Integrating Geographical Encoding and Data Quality Assessment for Childhood Poverty Prediction Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T10:17:01.598032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.