Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:13:24.157726Z
Paper Citation Record · LEDGER
PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps
As of 18 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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.