Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A systematic review of geospatial location embedding approaches in large language models: A path to spatial AI systems
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.10279.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:14.817980Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T18:16:16.850658Z
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 f94fe6c1-7762-4eb4-ae64-45bdcd247494 · inbound
Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations cites this paper.
Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations A systematic review of geospatial location embedding approaches in large language models: A path to spatial AI systems
Reference 99
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:08:14.817980Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c1f4d8e-dabd-465b-8698-489df2b682bf · inbound
Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings cites this paper.
Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings A systematic review of geospatial location embedding approaches in large language models: A path to spatial AI systems
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:17:56.489432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.