Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CoNIC: Colon Nuclei Identification and Counting Challenge 2022
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2111.14485.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:19:13.455643Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 7c18d8ed-94ac-4cbd-b5b0-29f3b0bbfdff · inbound
RepSNet: A Nucleus Instance Segmentation model based on Boundary Regression and Structural Re-parameterization cites this paper.
RepSNet: A Nucleus Instance Segmentation model based on Boundary Regression and Structural Re-parameterization CoNIC: Colon Nuclei Identification and Counting Challenge 2022
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:19:13.455643Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f740f4a-8abe-41de-9445-617a5d93567c · inbound
Optimal Transport Driven Asymmetric Image-to-Image Translation for Nuclei Segmentation of Histological Images cites this paper.
Optimal Transport Driven Asymmetric Image-to-Image Translation for Nuclei Segmentation of Histological Images CoNIC: Colon Nuclei Identification and Counting Challenge 2022
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:50:47.231206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b63ae261-8628-4c0f-b18e-87c8f199b4f5 · inbound
Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation cites this paper.
Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation CoNIC: Colon Nuclei Identification and Counting Challenge 2022
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:19:14.115398Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 470a462e-913d-446d-9b25-ad549e81ac65 · inbound
Maximum Matching Accuracy: An Instance Segmentation Evaluation Metric Utilizing Globally Optimal Matching cites this paper.
Maximum Matching Accuracy: An Instance Segmentation Evaluation Metric Utilizing Globally Optimal Matching CoNIC: Colon Nuclei Identification and Counting Challenge 2022
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T17:01:07.828551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e48c9959-c581-4839-9add-e929af335bac · inbound
HASSL: Hierarchy-Aware Self-Supervised Learning Framework for Single Cell Microscopy cites this paper.
HASSL: Hierarchy-Aware Self-Supervised Learning Framework for Single Cell Microscopy CoNIC: Colon Nuclei Identification and Counting Challenge 2022
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T19:52:10.091159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.