Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.15658.
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 2026-08-05T11:17:02.780814Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T09:59:45.210778Z
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 86283004-f821-47b2-b0c7-fe4e34ed34a7 · inbound
GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations cites this paper.
GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:42:13.356957Z
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.
Observation 5b60ff6d-f55e-4687-a917-a7dfc673d3ac · inbound
Geospatial Foundational Embedder: Top-1 Winning Solution on EarthVision Embed2Scale Challenge (CVPR 2025) cites this paper.
Geospatial Foundational Embedder: Top-1 Winning Solution on EarthVision Embed2Scale Challenge (CVPR 2025) TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:17:02.780814Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f85adbd-c78e-4dbe-9008-5322816315d3 · inbound
Do Location Encoders Capture Spatial Effects? A GeoShapley Benchmark Across Scales cites this paper.
Do Location Encoders Capture Spatial Effects? A GeoShapley Benchmark Across Scales TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T09:59:45.212243Z
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.