Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.14961.
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 2026-08-11T23:21:28.323839Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T13:54:43.914935Z
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 f05138c6-ba5d-4695-9178-c0be51aab733 · inbound
Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models cites this paper.
Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:21:28.323839Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f51b9a42-14d7-4cee-9b7c-a417134056d9 · inbound
Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection cites this paper.
Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:11:18.478890Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96fa6c7c-2438-4285-9847-0c7f0c486ff6 · inbound
Cross-Modal Contrastive Learning of ECG and Angiography Representations for Severe Stenosis Classification cites this paper.
Cross-Modal Contrastive Learning of ECG and Angiography Representations for Severe Stenosis Classification StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography
Reference 1
- Resolution
- malformed identifier
- arxiv_id, observed 2026-06-30T13:54:43.916264Z
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.