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Paper Citation Record · LEDGER

PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.13401.

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

pith.paper-citation-record.v1
2409.13401 v2

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:27:23.678542Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T23:03:34.275520Z

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 74c8ccf6-55f5-47c5-a162-18318c0f2444 · inbound

SAMIC: Segment Anything with In-Context Spatial Prompt Engineering cites this paper.

SAMIC: Segment Anything with In-Context Spatial Prompt Engineering PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T14:27:23.678542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:27:23.678542Z digest=sha256:32c41f56c3fe009503f89c06323a7e30b5b08c18e273534d359c44d34366e857

Observation 5b8624a7-e8dd-411d-a52c-3429eba2d0b6 · inbound

Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances cites this paper.

Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-08T23:03:34.283484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T23:03:33.986972Z digest=sha256:b28ccb0fd16a187e5820688287c4a0476e038c9a3e59bf2783967f288d034677