Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GIS Copilot: Towards an Autonomous GIS Agent for Spatial Analysis
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.03205.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T23:48:43.416504Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T23:48:43.795401Z
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 cecaf92b-582e-4320-a754-64dce2a83022 · 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 GIS Copilot: Towards an Autonomous GIS Agent for Spatial Analysis
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T23:48:43.799744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e8c5f717-062f-4f6e-96ae-69ffc791e035 · inbound
Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications cites this paper.
Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications GIS Copilot: Towards an Autonomous GIS Agent for Spatial Analysis
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:07:03.011110Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.