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Paper Citation Record · LEDGER

Satellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain Shift

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.07616.

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

pith.paper-citation-record.v1
2407.07616 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:02:45.468642Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b5d94a62-75da-4127-b878-ac9b0a134c49 · inbound

Persistent Sparse Autoencoders: Learning Feature Timescales in Language Models cites this paper.

Persistent Sparse Autoencoders: Learning Feature Timescales in Language Models Satellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain Shift

Reference 160

Resolution
unresolved
no resolver link, observed 2026-08-01T19:02:45.468642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T19:02:45.468642Z digest=sha256:ae5b2a941e81f0432d97389ac71572885cfbe00337cf7d11aab4ad60e169f978

Observation f5ae6854-fa43-4d64-bfab-c9478152da0e · inbound

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types cites this paper.

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types Satellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain Shift

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-01T11:14:16.322608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-01T11:09:48.082505Z digest=sha256:144a1da6ae9adf039a80c68423221f58179030da89c601f95351d486f2693184