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Paper Citation Record · LEDGER

Rapid Adaptation of Earth Observation Foundation Models for Segmentation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.09907.

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

pith.paper-citation-record.v1
2409.09907 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:52:28.376795Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:09:55.400715Z

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 0f7259a0-b4f2-41aa-8301-bf4e524eb47e · inbound

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery cites this paper.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery Rapid Adaptation of Earth Observation Foundation Models for Segmentation

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T05:52:28.376795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:52:28.376795Z digest=sha256:0e010dc64e738f29eb98f6cacc877633165ed35965123ac3017a1ae31df86b06

Observation f6e3559f-741f-4aed-9a1d-888b0f3f4a9d · inbound

Flood Mapping from RGB imagery using a Vision Foundation Model cites this paper.

Flood Mapping from RGB imagery using a Vision Foundation Model Rapid Adaptation of Earth Observation Foundation Models for Segmentation

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:09:55.402713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T01:49:22.956918Z digest=sha256:8fdba6e170546134546f5b3036615a48aa473f1e768a88497c04ec7144777453