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Paper Citation Record · LEDGER

Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.19492.

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

pith.paper-citation-record.v1
2412.19492 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 2026-08-06T16:41:25.700002Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:41:26.722360Z

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 ba0a6467-a0c1-4ab7-aa77-3200575472de · 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 Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:41:26.824442Z

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=2026-08-06T16:41:25.700002Z digest=sha256:e40d6fc22fb76ddc751ec19b066f29a7d2c8f6ede19d41bbaa733c0864968787

Observation 5334337d-200a-4aaf-9ed8-89bffa13e11c · inbound

Vision-Language Model Purified Semi-Supervised Semantic Segmentation for Remote Sensing Images cites this paper.

Vision-Language Model Purified Semi-Supervised Semantic Segmentation for Remote Sensing Images Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-03T06:24:05.120375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:24:05.120375Z digest=sha256:b9b55ec9a4b8d377ff848966a3b34fb36176e5b9b554cbeffc02b330021ab6e2