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Paper Citation Record · LEDGER

Evaluation Challenges for Geospatial ML

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.18087.

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

pith.paper-citation-record.v1
2303.18087 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:49:31.270029Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T11:54:49.804161Z

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 623f1b94-6c2b-4890-9fa2-23159f811072 · inbound

Large-scale School Mapping using Weakly Supervised Deep Learning for Universal School Connectivity cites this paper.

Large-scale School Mapping using Weakly Supervised Deep Learning for Universal School Connectivity Evaluation Challenges for Geospatial ML

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-11T11:54:49.809471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T11:54:49.711793Z digest=sha256:18409bdffbc60ff4f1f9cbd0a6676846863a9c1fdc9283245705c649f5b8f56b

Observation d2d36318-4103-46ee-8f17-3750518fcb1b · inbound

The uses (and misuses) of Earth Observation data for weather and vegetation analysis cites this paper.

The uses (and misuses) of Earth Observation data for weather and vegetation analysis Evaluation Challenges for Geospatial ML

Reference 4392

Resolution
unresolved
no resolver link, observed 2026-08-15T15:49:31.270029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:49:31.270029Z digest=sha256:f12947bcf95c29f2684cc6ccfa444f73f3a681da2253805c6903eca08bb5f67b