Paper Citation Record · LEDGER

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps

As of 19 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2608.10649.

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

pith.paper-citation-record.v1
2608.10649 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:13:24.157726Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy15
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eefe208c-d851-48f8-b751-f369bcc21406 · outbound

This paper cites Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:13:25.267865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dec6c733-553a-42a4-88f5-e218a332268c · outbound

This paper cites Cancer statistics, 2020.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps Cancer statistics, 2020

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:13:25.259394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 68adcf7e-6d35-4c4c-b8a2-3b610148456e · outbound

This paper cites Validation of a simple classification system for endoscopic diagnosis of small colorectal polyps using narrow-band imaging.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps Validation of a simple classification system for endoscopic diagnosis of small colorectal polyps using narrow-band imaging

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:13:25.189631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6eb32b57-ba95-4b77-8669-098467e87367 · outbound

This paper cites The American Society for Gastrointestinal Endoscopy PIVI on real -time endoscopic assessment of diminutive colorectal polyps.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps The American Society for Gastrointestinal Endoscopy PIVI on real -time endoscopic assessment of diminutive colorectal polyps

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:13:25.018049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 587d520b-a37a-45c4-916d-4f35ea77c33d · outbound

This paper cites Guidelines for colonoscopy surveillance after screening and polypectomy.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps Guidelines for colonoscopy surveillance after screening and polypectomy

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:13:24.853009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8182e706-bccf-4497-9039-8aa9f786a70e · outbound

This paper cites WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:13:24.844688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 735b4e67-cfd7-4d89-8b10-deeb5ffb26f2 · outbound

This paper cites Deep learning localizes and identifies polyps in real time with 96% accuracy in screening colonoscopy.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps Deep learning localizes and identifies polyps in real time with 96% accuracy in screening colonoscopy

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:13:24.834454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5816ac36-da12-4b2e-ba6f-205505c9535e · outbound

This paper cites Automated classification of polyps using deep learning architectures and few-shot learning.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps Automated classification of polyps using deep learning architectures and few-shot learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:13:24.826632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc5f7bb7-ec13-444f-9b4c-4548d3d87c85 · outbound

This paper cites EfficientNetV2: Smaller Models and Faster Training.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps EfficientNetV2: Smaller Models and Faster Training

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T20:13:23.857289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f9b2352-a788-4ee6-8f03-4ace78bab4ba · outbound

This paper cites UNet++: A nested U -net architecture for medical image segmentation.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps UNet++: A nested U -net architecture for medical image segmentation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:13:24.734789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation abc93b87-c198-47c3-9b87-372debe18007 · outbound

This paper cites Ensemble learning: a survey.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps Ensemble learning: a survey

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:13:24.604494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a9e234b5-e6b7-4ad8-b7ee-84f2b9da1a63 · outbound

This paper cites Deep residual learning for image recognition.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps Deep residual learning for image recognition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:13:24.532976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3325b05a-fb60-4b05-98e9-a66168c4aa68 · outbound

This paper cites YOLOv8 for polyp detection: a comparative study.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps YOLOv8 for polyp detection: a comparative study

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:13:24.524138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13602735-64d4-4cad-a7bd-abbaa6a0551b · outbound

This paper cites YOLO-LAN: A lightweight YOLO for polyp detection.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps YOLO-LAN: A lightweight YOLO for polyp detection

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:13:24.516206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec181c0d-cf33-4b39-8dee-6ece2074c23b · outbound

This paper cites A multi-centre polyp detection and segmentation dataset for generalisability assessment.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps A multi-centre polyp detection and segmentation dataset for generalisability assessment

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T20:13:24.147629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 070db969-4d6e-4219-8119-126bb4330d93 · outbound

This paper cites Kvasir-SEG: A segmented polyp dataset.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps Kvasir-SEG: A segmented polyp dataset

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:13:24.442483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc1a688d-ad17-4b45-9555-58a362a1e6f1 · outbound

This paper cites CVC -ClinicDB: A clinical colonoscopy database for polyp detection.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps CVC -ClinicDB: A clinical colonoscopy database for polyp detection

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:13:24.275148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cce06194-f710-4b40-b1ee-62167801fc13 · outbound

This paper cites ERCPMP: an endoscopic image and video dataset for colorectal polyps morphology and pathology.

PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps ERCPMP: an endoscopic image and video dataset for colorectal polyps morphology and pathology

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T20:13:24.157726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.