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Paper Citation Record · LEDGER

Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.05813.

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

pith.paper-citation-record.v1
2305.05813 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:59:36.555537Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T10:59:38.175879Z

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 93f52a92-2b65-4774-bb53-57004acfcc8f · inbound

A Survey of Sample-Efficient Deep Learning for Change Detection in Remote Sensing: Tasks, Strategies, and Challenges cites this paper.

A Survey of Sample-Efficient Deep Learning for Change Detection in Remote Sensing: Tasks, Strategies, and Challenges Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-09T10:59:38.180132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T10:59:36.555537Z digest=sha256:bb25a40add9fdd9bbe73cf9bce22581d93efe117d99a83390c40aa6cf5b2505f

Observation 18e7cc60-ffdb-437b-a1ee-26f0c057cf6c · inbound

Auto Quantum Machine Learning for Multisource Classification cites this paper.

Auto Quantum Machine Learning for Multisource Classification Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T21:59:15.317631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:59:15.317631Z digest=sha256:90cccc78cd9984dc32c64021f0e6e18cba11ace9af6d7de311d8d8b4aa13f839