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Paper Citation Record · LEDGER

Self-supervised Learning in Remote Sensing: A Review

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2206.13188.

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

pith.paper-citation-record.v1
2206.13188 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:58:14.059044Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T21:42:47.876049Z

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 2d5516ba-42d2-4714-9fe0-9ecbb37ddc3c · inbound

PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models cites this paper.

PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models Self-supervised Learning in Remote Sensing: A Review

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:42:47.880957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T21:42:47.231854Z digest=sha256:cb656c7ea5e7573796abec81b60c8cf9ba5d71e7bae1cdf63c64fd6b4ef5e28b

Observation d6be821c-6b02-4ce3-bea6-b7c0757c2898 · inbound

Very High-Resolution Forest Mapping with TanDEM-X InSAR Data and Self-Supervised Learning cites this paper.

Very High-Resolution Forest Mapping with TanDEM-X InSAR Data and Self-Supervised Learning Self-supervised Learning in Remote Sensing: A Review

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T23:58:14.059044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:58:14.059044Z digest=sha256:4e40218de68536b84020e44dfb3d0b446ec443926bf4ba6c805b9016dbcf291d

Observation 32c9c51e-92f3-4c15-a984-135a79200ee4 · inbound

Self-Supervised Learning for Image Segmentation: A Comprehensive Survey cites this paper.

Self-Supervised Learning for Image Segmentation: A Comprehensive Survey Self-supervised Learning in Remote Sensing: A Review

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T20:17:46.803049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:17:46.803049Z digest=sha256:024ab089f80358df024312e39cdf9d1ebd4371039fa95412a5763f3243944fcd