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Paper Citation Record · LEDGER

SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.01768.

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

pith.paper-citation-record.v1
2410.01768 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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:39:08.343455Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:41:27.135118Z

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 a809bdac-a483-480c-bbe1-cd871374dbf0 · inbound

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives cites this paper.

Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images

Reference 187

Resolution
unresolved
no resolver link, observed 2026-08-07T15:39:08.343455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:08.343455Z digest=sha256:a808b6c6f810b1f9f07e2ddba222832411749b165dfa8b6bd169cb364429f35c

Observation 042a8e88-9378-48c7-b35e-00a45800fee8 · inbound

RemoteSAM: Towards Segment Anything for Earth Observation cites this paper.

RemoteSAM: Towards Segment Anything for Earth Observation SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:32.931200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:39:32.931200Z digest=sha256:2c5869371a99d62584803b50f022536101a6ccd9132d07b5a69c1ce5b6b6ce72

Observation 4aa5dcaa-9184-4a99-8db3-5d29ef96817d · inbound

SCORE: Scene Context Matters in Open-Vocabulary Remote Sensing Instance Segmentation cites this paper.

SCORE: Scene Context Matters in Open-Vocabulary Remote Sensing Instance Segmentation SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:41:27.197841Z

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=2026-08-06T16:41:22.746397Z digest=sha256:2d64fffffe231a07e30ff9783f4151737b439d2cceadd6e0f8ef5bda242ec588