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Paper Citation Record · LEDGER

GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.17031.

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

pith.paper-citation-record.v1
2410.17031 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:48:43.483474Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:06:55.698527Z

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 85031b16-af5f-4bb9-ae44-ecddaeea1790 · inbound

From PowerPoint UI Sketches to Web-Based Applications: Pattern-Driven Code Generation for GIS Dashboard Development Using Knowledge-Augmented LLMs, Context-Aware Visual Prompting, and the React Framework cites this paper.

From PowerPoint UI Sketches to Web-Based Applications: Pattern-Driven Code Generation for GIS Dashboard Development Using Knowledge-Augmented LLMs, Context-Aware Visual Prompting, and the React Framework GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T23:48:43.483474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:48:43.483474Z digest=sha256:a4cba502bc06e43ffcba107f7299d8543cda9f43b1eb600dfb3cf5b1af34d1cc

Observation 9ebb98f9-1937-4656-a16d-31b22100adf7 · inbound

GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant cites this paper.

GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:06:55.762602Z

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.

source=pdf_text observed=2026-08-07T04:06:53.477784Z digest=sha256:1ae4955236df31d39742d2bac92fd29f6d5e6160cdfd21003cc22e610f9b24b0