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Paper Citation Record · LEDGER

DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1805.06561.

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

pith.paper-citation-record.v1
1805.06561 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:27:58.585151Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T21:46:24.450941Z

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 34890dfb-1ea6-4246-8999-84997cc48901 · inbound

Understanding Deep Learning Techniques for Image Segmentation cites this paper.

Understanding Deep Learning Techniques for Image Segmentation DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-24T21:46:24.453420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T21:46:17.736097Z digest=sha256:be1513689b3f06d8ba2390e63dda2262571c1dcc3dd7ef67cc77a3acbb045cee

Observation ae392449-982f-4196-a0be-39a78c11a794 · inbound

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model cites this paper.

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T11:27:58.585151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:27:58.585151Z digest=sha256:8ff3f1e4b23f42d9fdd752a7d195c1f6b7b8f93c604155c494b2c81d3979be5d