Paper Citation Record · LEDGER

GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2307.07930.

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

pith.paper-citation-record.v1
2307.07930 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:42:13.869230Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T22:58:34.363758Z

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 6cf825e5-a95b-4e3f-8cd9-f64371da177f · inbound

Investigating the Segment Anything Foundation Model for Mapping Smallholder Agriculture Field Boundaries Without Training Labels cites this paper.

Investigating the Segment Anything Foundation Model for Mapping Smallholder Agriculture Field Boundaries Without Training Labels GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:58:34.366801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4ac2d889-b536-4e92-be9e-86861712191e · inbound

POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning cites this paper.

POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T19:42:13.869230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de14b375-f8d0-4057-97a3-1c5fa38b8394 · inbound

EarthSE: A Benchmark for Evaluating Earth Scientific Exploration Capability of LLMs cites this paper.

EarthSE: A Benchmark for Evaluating Earth Scientific Exploration Capability of LLMs GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T15:10:21.111443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2f811a6-0b23-41c7-abf1-3ec5b75c3333 · inbound

A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMs cites this paper.

A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMs GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:34.739761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 261c73b5-9945-4bad-8bc4-5bc736f58cb3 · inbound

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement cites this paper.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T00:59:59.462365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56f1dde6-87aa-4c32-8b4a-f9eb1604236e · inbound

Towards Understanding, Analyzing, and Optimizing Agentic AI Execution: A CPU-Centric Perspective cites this paper.

Towards Understanding, Analyzing, and Optimizing Agentic AI Execution: A CPU-Centric Perspective GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:55:33.515059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0235471e-3589-4594-a920-5fe1c76eabf4 · inbound

GS-QA: A Benchmark for Geospatial Question Answering cites this paper.

GS-QA: A Benchmark for Geospatial Question Answering GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-22T02:34:31.717158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a40eb315-249b-4fc8-8931-a4695c428039 · inbound

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text cites this paper.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT

Reference 121

Resolution: unresolved; no resolver link, observed 2026-08-02T13:37:01.591073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.