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Paper Citation Record · LEDGER

Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.06623.

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

pith.paper-citation-record.v1
2308.06623 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 2026-08-06T22:02:25.207245Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:33:54.098029Z

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 c8be73ff-2343-4e88-bb41-ccfe5d90c18d · inbound

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey cites this paper.

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-06T22:02:25.207245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:02:25.207245Z digest=sha256:b13fe63103f4481a0e38b72f4940e634a63d540746669002bf833d66f325209a

Observation 0a35d6b7-9b6b-4553-aced-f41d855d8343 · inbound

MSA2-Net: Utilizing Self-Adaptive Convolution Module to Extract Multi-Scale Information in Medical Image Segmentation cites this paper.

MSA2-Net: Utilizing Self-Adaptive Convolution Module to Extract Multi-Scale Information in Medical Image Segmentation Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-05T12:33:54.170949Z

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=2026-08-05T12:33:53.406292Z digest=sha256:976a41b7010a1876a4f6f8e55960d46d1caa4715ae9e9760ae1fc29432fe65dc