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Paper Citation Record · LEDGER

Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion Guidance

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.15063.

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

pith.paper-citation-record.v1
2408.15063 v4

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 2026-08-04T17:57:10.275121Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 2082cd3f-be90-465e-84f5-8346df53bdd3 · inbound

Multimodal SAM-adapter for Semantic Segmentation cites this paper.

Multimodal SAM-adapter for Semantic Segmentation Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion Guidance

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:10.275121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:57:10.275121Z digest=sha256:a2ae4de0cee5f6065258d8f1d167c71d5910669c08df637fe81de1fd9b6f965c

Observation 4142961f-12e4-45a5-acb6-5feafbb724d1 · inbound

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection cites this paper.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion Guidance

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T02:37:37.306444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:37:37.306444Z digest=sha256:c1ef8c772ea8b974cdea4e67a9d573b12a98665315e65274f3abc38191102f89