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Paper Citation Record · LEDGER

Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detections

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1802.07789.

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

pith.paper-citation-record.v1
1802.07789 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:32:40.297827Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T12:05:51.227863Z

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 f583d8ba-6313-46fe-8d28-4ad4a4d41b7b · inbound

Review of Fruit Tree Image Segmentation cites this paper.

Review of Fruit Tree Image Segmentation Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detections

Reference 306

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T12:05:51.233595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:05:51.063954Z digest=sha256:3631cf610c543777f77384a4baebb2fc6e83e15a562569acc66f7a86024453e4

Observation 432ad502-4d7e-4868-8f4a-62e3dfac32c4 · inbound

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation cites this paper.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detections

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T04:32:40.297827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:32:40.297827Z digest=sha256:552e4f5c497d13740a737fda84c4494929d35f984b0958519e71182e1013aa68