Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2101.07172.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:29:39.273964Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T15:20:08.165021Z
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 0820154a-9ef4-4f0c-a256-240a85748046 · inbound
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps cites this paper.
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:29:39.273964Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb2629a7-4b43-45be-b475-ee47a359a09b · inbound
CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation cites this paper.
CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:58:03.283082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b9c8104-26fc-49b6-972e-35761d7df7f6 · inbound
The Power of Certainty: How Confident Models Lead to Better Segmentation cites this paper.
The Power of Certainty: How Confident Models Lead to Better Segmentation HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:35:49.283338Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 458c7734-0cb2-41b9-8ab6-a2941493d577 · inbound
RPG-SAM: Reliability-Weighted Prototypes and Geometric Adaptive Threshold Selection for Training-Free One-Shot Polyp Segmentation cites this paper.
RPG-SAM: Reliability-Weighted Prototypes and Geometric Adaptive Threshold Selection for Training-Free One-Shot Polyp Segmentation HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T15:20:08.169150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3718c670-52d4-4cad-8185-b0727d6d6ad2 · inbound
QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation cites this paper.
QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T09:16:45.522051Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.