Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:37:54.102557Z
Paper Citation Record · LEDGER
GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models
As of 17 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 2 inbound Pith citation observations for arXiv:2412.05587.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:30:40.726787Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T16:24:25.519478Z
Reference resolution
7 of 7 outbound references displayed
- verified exact0
- verified fuzzy3
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 52eee53e-c05b-43cc-8691-66dd4f559ba3 · outbound
This paper cites operators,.
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:37:54.270335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 14c2145a-e2f1-4638-8dfe-8edaf45fa7af · outbound
This paper cites knowledge hallucination,.
GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models knowledge hallucination,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:37:54.251054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d9f979e0-af79-4d4c-96eb-d5bca2aca9d9 · outbound
This paper cites Google Earth Engine (GEE).
GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models Google Earth Engine (GEE)
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:37:54.225766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a63b0397-7365-46b7-b139-41d869d28ff0 · outbound
This paper cites an unresolved cited work.
GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T20:37:54.203385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 14e1cc24-1baf-4531-835b-05a9e20f52d4 · outbound
This paper cites Augmenting LLMs with Knowledge: A survey on hallucination prevention.
GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models Augmenting LLMs with Knowledge: A survey on hallucination prevention
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:37:54.089159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fd6b54d-a56b-4e35-8f36-205bd6f3cf0d · outbound
This paper cites Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey.
GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:37:54.102557Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f49c9ca-e82e-4dad-ad40-fbca0571d6ec · outbound
This paper cites Fine-tuning and Utilization Methods of Domain-specific LLMs.
GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models Fine-tuning and Utilization Methods of Domain-specific LLMs
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:37:54.096111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation c334f4f9-f099-4c32-a340-07cf845a81f8 · inbound
AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models cites this paper.
AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:30:40.726787Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49780fc6-ee03-4e7e-a2fe-91908697623b · inbound
GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation cites this paper.
GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T16:24:25.525278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.