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Paper Citation Record · LEDGER

Explicit Visual Prompting for Universal Foreground Segmentations

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.18476.

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

pith.paper-citation-record.v1
2305.18476 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:05:04.571713Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:05:44.058631Z

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 99cd89a7-178e-4e16-907c-4d2dc4543a2a · inbound

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning cites this paper.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning Explicit Visual Prompting for Universal Foreground Segmentations

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:04.571713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:04.571713Z digest=sha256:194947e490ca95fbd2b744dcac671f1234c0f92dc1cfd31cb7ed1813808f9010

Observation 4d6d87c1-3f01-4521-92d6-add8280e069b · inbound

Distribution-Specific Learning for Joint Salient and Camouflaged Object Detection cites this paper.

Distribution-Specific Learning for Joint Salient and Camouflaged Object Detection Explicit Visual Prompting for Universal Foreground Segmentations

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:05:44.104321Z

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=2026-08-05T23:05:37.407364Z digest=sha256:252a09217ca0d641563ba58d91b169cdf22256a8da36dd1b1fd61118009a1d9c