Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.12116.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:19:58.281428Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T17:08:41.236480Z
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 726c0dbf-997f-4746-84bf-2f07fb9b20d3 · inbound
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer cites this paper.
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:19:58.281428Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1ea5b48-6c8f-4116-a3fd-a0c7d6f097c1 · inbound
STeInFormer: Spatial-Temporal Interaction Transformer Architecture for Remote Sensing Change Detection cites this paper.
STeInFormer: Spatial-Temporal Interaction Transformer Architecture for Remote Sensing Change Detection Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:45:22.540755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f191d1b7-7e66-437b-8df9-96a7df54d8c1 · inbound
A Novel Scene Coupling Semantic Mask Network for Remote Sensing Image Segmentation cites this paper.
A Novel Scene Coupling Semantic Mask Network for Remote Sensing Image Segmentation Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T17:08:41.284682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.