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Paper Citation Record · LEDGER

Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2010.00757.

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

pith.paper-citation-record.v1
2010.00757 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:45:52.914497Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 a66408ff-c53f-4d02-9569-b4b41f30fcfa · inbound

A quantitative model for the emergent population dynamics of the melanoma MITF rheostat cites this paper.

A quantitative model for the emergent population dynamics of the melanoma MITF rheostat Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T01:45:52.914497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:45:52.914497Z digest=sha256:aafa90a400c9282c3eccf4ca55245afb8b1067c2ad6eda33be6ea9ca298044dc