Paper Citation Record · LEDGER

GPT4GEO: How a Language Model Sees the World's Geography

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2306.00020.

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

pith.paper-citation-record.v1
2306.00020 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:03:40.151838Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

19
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1429f4a7-9ab4-43ef-9cf2-9fceee3b0c7e · 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 GPT4GEO: How a Language Model Sees the World's Geography

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T14:03:40.151838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6a2d7eb-9e23-4459-a43e-dbe0e17b9b6d · inbound

MapStory: Prototyping Editable Map Animations with LLM Agents cites this paper.

MapStory: Prototyping Editable Map Animations with LLM Agents GPT4GEO: How a Language Model Sees the World's Geography

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:05.604088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c13b53a-c6de-4673-ada4-0ca20ef72cdf · inbound

The World As Large Language Models See It: Exploring the reliability of LLMs in representing geographical features cites this paper.

The World As Large Language Models See It: Exploring the reliability of LLMs in representing geographical features GPT4GEO: How a Language Model Sees the World's Geography

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:03.329611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2339044d-154f-4438-9cbf-5f79049236e5 · inbound

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning cites this paper.

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning GPT4GEO: How a Language Model Sees the World's Geography

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T14:20:39.519135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1302248-e23a-4e88-8478-c9134c68c00f · inbound

Towards Interpretable Geo-localization: a Concept-Aware Global Image-GPS Alignment Framework cites this paper.

Towards Interpretable Geo-localization: a Concept-Aware Global Image-GPS Alignment Framework GPT4GEO: How a Language Model Sees the World's Geography

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T12:07:54.535949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7564679-6481-4561-8749-9e9c58928861 · inbound

Much of Geospatial Web Search Is Beyond Traditional GIS cites this paper.

Much of Geospatial Web Search Is Beyond Traditional GIS GPT4GEO: How a Language Model Sees the World's Geography

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:22:01.885888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 36f9552c-b4fd-4547-b7dd-c1e13b5b8c94 · inbound

Much of Geospatial Web Search Is Beyond Traditional GIS cites this paper.

Much of Geospatial Web Search Is Beyond Traditional GIS GPT4GEO: How a Language Model Sees the World's Geography

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:05:05.942095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d2b913d1-2d93-4f39-a9d3-eb615bf1e826 · inbound

Consistency Training while Mitigating Obfuscation via Rate Matching cites this paper.

Consistency Training while Mitigating Obfuscation via Rate Matching GPT4GEO: How a Language Model Sees the World's Geography

Reference 128

Resolution: verified exact; arxiv_id, observed 2026-06-28T14:32:18.186246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fdfb185c-bfcc-449f-b4d1-d74918dd9540 · inbound

From Symbolic to Geometric: Enabling Spatial Reasoning in Large Language Models cites this paper.

From Symbolic to Geometric: Enabling Spatial Reasoning in Large Language Models GPT4GEO: How a Language Model Sees the World's Geography

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:26:45.789113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 41735930-4308-4b52-b5db-c6d2c8c174f9 · inbound

Assessing the Geographic Diversity of AI's Platial Representations in Image Generation cites this paper.

Assessing the Geographic Diversity of AI's Platial Representations in Image Generation GPT4GEO: How a Language Model Sees the World's Geography

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:45:34.711220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 44e9c93c-9068-4466-a310-4cc500d0d437 · inbound

MapReason-OSM: Can Vision-Language Models Make Graph-Verifiable Mobility Decisions from Street Maps ? cites this paper.

MapReason-OSM: Can Vision-Language Models Make Graph-Verifiable Mobility Decisions from Street Maps ? GPT4GEO: How a Language Model Sees the World's Geography

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:39:42.507184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.