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Paper Citation Record · LEDGER

CamoSAM2: SAM2-oriented Prompt Auto-Refinement for Video Camouflaged Object Detection

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.00375.

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

pith.paper-citation-record.v1
2504.00375 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:42:41.621140Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:56:26.594116Z

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 7a43598e-c383-484d-8744-279cd31a5bd1 · inbound

Beyond General Prompts: Automated Prompt Refinement using Contrastive Class Alignment Scores for Disambiguating Objects in Vision-Language Models cites this paper.

Beyond General Prompts: Automated Prompt Refinement using Contrastive Class Alignment Scores for Disambiguating Objects in Vision-Language Models CamoSAM2: SAM2-oriented Prompt Auto-Refinement for Video Camouflaged Object Detection

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T21:42:41.621140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:42:41.621140Z digest=sha256:8cef39c2b0ec85ec9988c881153986248ebb5e2a028daae1264d4797b26d543d

Observation bfaa1511-3bfc-49d5-b6d2-8045afccae25 · inbound

Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark cites this paper.

Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark CamoSAM2: SAM2-oriented Prompt Auto-Refinement for Video Camouflaged Object Detection

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-06-09T02:05:19.234981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T08:52:27.345411Z digest=sha256:edd41140a8f9bb8ac53e7bba9bc037da4592cea33c7d4e925f4ec35db6b70729