Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2206.08985.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:33:52.665909Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T17:01:09.265997Z
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 4223f321-cd51-4acd-9f8e-1d37cc1e2bcd · 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 TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:33:52.665909Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ed2c5c7-fd2e-493a-bbdf-d5d8ae80d54b · inbound
Multi-Dataset Cross-Domain Knowledge Distillation for Unified Medical Image Segmentation, Classification, and Detection cites this paper.
Multi-Dataset Cross-Domain Knowledge Distillation for Unified Medical Image Segmentation, Classification, and Detection TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation
Reference 80
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:01:09.269163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 103c684f-0adc-48e2-b396-27ff6794fac8 · inbound
A Unified Framework for the Detection and Classification of Fatty Pancreas in Ultrasound Images cites this paper.
A Unified Framework for the Detection and Classification of Fatty Pancreas in Ultrasound Images TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:00:54.881579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.