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Paper Citation Record · LEDGER

Mining GIS Data to Predict Urban Sprawl

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.11338.

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

pith.paper-citation-record.v1
2103.11338 v1

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:07:56.332673Z

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

9
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 aa708ca3-8328-4293-9bfe-85edba93129c · inbound

Power Plant Detection for Energy Estimation using GIS with Remote Sensing, CNN & Vision Transformers cites this paper.

Power Plant Detection for Energy Estimation using GIS with Remote Sensing, CNN & Vision Transformers Mining GIS Data to Predict Urban Sprawl

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T21:07:56.332673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:07:56.332673Z digest=sha256:6c5f19b91f213e1e4a63899b17c51a27a76d4236a056483839d38f515263ff04

Observation 7bacabcb-571f-42fa-a6ef-0e95041310dd · inbound

Exploring Urban Land Use Patterns by Pattern Mining and Unsupervised Learning cites this paper.

Exploring Urban Land Use Patterns by Pattern Mining and Unsupervised Learning Mining GIS Data to Predict Urban Sprawl

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T10:49:56.865371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T10:47:57.289479Z digest=sha256:5c27ea48060c66434ca53ef9d080276fdb9a2cce7ddd98c6116646026d7c43dd