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Paper Citation Record · LEDGER

LandCoverNet: A global benchmark land cover classification training dataset

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.03111.

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

pith.paper-citation-record.v1
2012.03111 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:31:45.208311Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:26:05.771317Z

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 0f061f34-7f12-45b2-bdf7-407b66eaa8fc · inbound

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation cites this paper.

Test-Time Optimization for Domain Adaptive Open Vocabulary Segmentation LandCoverNet: A global benchmark land cover classification training dataset

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T21:31:45.208311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:31:45.208311Z digest=sha256:3eece0d185938ac731d02c45288fbe6e50414be73df6824e0cde70273f1a8008

Observation 462b8d19-10fb-4327-a039-1faddfe1ae40 · inbound

IRSAMap:Towards Large-Scale, High-Resolution Land Cover Map Vectorization cites this paper.

IRSAMap:Towards Large-Scale, High-Resolution Land Cover Map Vectorization LandCoverNet: A global benchmark land cover classification training dataset

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:26:05.777052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-05T17:26:05.439506Z digest=sha256:5474fbd4f266b2480c8b9187a45cd063fdc8c1c3e9b64dadb2e0bcd795ad6c14