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Paper Citation Record · LEDGER

Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.05892.

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

pith.paper-citation-record.v1
2408.05892 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:09:16.904417Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:38:38.233468Z

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 e5916206-f4b3-46a0-a8ca-057fa5cad46d · inbound

Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models cites this paper.

Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:16.904417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:09:16.904417Z digest=sha256:7525d332a05389be0709ba3b35d3f9d5e39aeb434c22f19c671f93761da9f912

Observation 079fc60d-a12e-4dc2-aac5-0d2aec00de50 · inbound

HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors cites this paper.

HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T11:38:38.316832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:38:36.350009Z digest=sha256:162a37fe5c7deb9cadc7b02491257aa6c8d6f874ee1a715568e508217e8c8b39