Paper Citation Record · LEDGER

GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.14478.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2310.14478 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:24:46.108719Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T23:50:42.749860Z

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 7034b474-8541-425a-9c09-b0e310588d4f · inbound

Comparative Performance of Advanced NLP Models and LLMs in Multilingual Geo-Entity Detection cites this paper.

Comparative Performance of Advanced NLP Models and LLMs in Multilingual Geo-Entity Detection GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T23:24:46.108719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e318a4df-148e-4807-b3ad-e614f394e7b9 · inbound

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions cites this paper.

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T14:03:40.119117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fc00aa5-7e7c-4374-85d7-f02dc4ee81ab · inbound

A Vision for Geo-Temporal Deep Research Systems: Towards Comprehensive, Transparent, and Reproducible Geo-Temporal Information Synthesis cites this paper.

A Vision for Geo-Temporal Deep Research Systems: Towards Comprehensive, Transparent, and Reproducible Geo-Temporal Information Synthesis GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:19.643451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71cd1ebc-030a-4c1e-8096-cd4752f5bb64 · inbound

DIGMAPPER: A Modular System for Automated Geologic Map Digitization cites this paper.

DIGMAPPER: A Modular System for Automated Geologic Map Digitization GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:50:42.757926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.