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Paper Citation Record · LEDGER

Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.03572.

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

pith.paper-citation-record.v1
2311.03572 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:12:35.960477Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T09:03:16.097191Z

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 79aec506-2db6-40a0-b9f1-98d63da74159 · inbound

PMR: Physical Model-Driven Multi-Stage Restoration of Turbulent Dynamic Videos cites this paper.

PMR: Physical Model-Driven Multi-Stage Restoration of Turbulent Dynamic Videos Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T10:12:35.960477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:12:35.960477Z digest=sha256:f2e560e17cff228c40e67a25f5833a11abd270983b71702ad267bea94bcc6606

Observation 39972311-1218-4e3c-aac1-3ac9466b68a9 · inbound

Turbulence-Robust Dynamic Object Segmentation with Multi-Signal Priors and SAM2 Refinement cites this paper.

Turbulence-Robust Dynamic Object Segmentation with Multi-Signal Priors and SAM2 Refinement Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-29T09:03:16.098523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T08:56:06.783920Z digest=sha256:c50ef744fccae9e959c3e0e25fde2d720d6c6d32b73aa36f8ef4529e7e15ad58