Paper Citation Record · LEDGER

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models

As of 21 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2412.02568.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.02568 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:21:28.431819Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy12
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c52a097-22cb-4ca6-966b-9e3486ff9781 · outbound

This paper cites Automatic detection and classification of cardiovascular disorders using phono- cardiogram and convolutional vision transformers.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models Automatic detection and classification of cardiovascular disorders using phono- cardiogram and convolutional vision transformers

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:21:29.320853Z

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 199e0d9a-5650-4674-a9f6-69d139638742 · outbound

This paper cites Multivessel Coronary Artery Segmentation and Stenosis Localisation using Ensemble Learning.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models Multivessel Coronary Artery Segmentation and Stenosis Localisation using Ensemble Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T23:21:28.204281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85285e6a-dcd8-4b35-8e35-3340870f3af8 · outbound

This paper cites Swin-unet: Unet-like pure transformer for medical image segmentation.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models Swin-unet: Unet-like pure transformer for medical image segmentation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T23:21:28.220614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69dca8bd-7f05-4590-bcbb-5fb9ff30adfb · outbound

This paper cites Automated stenosis detection and classification in x-ray angiography using deep neural network.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models Automated stenosis detection and classification in x-ray angiography using deep neural network

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:21:29.268158Z

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 383e9863-e965-4573-b994-db1230699bcb · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models An image is worth 16x16 words: Transformers for image recognition at scale

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:21:29.239133Z

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 4f57996b-d41e-4e63-a886-07eec9af359d · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces, 2024.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models Mamba: Linear-time sequence modeling with selective state spaces, 2024

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T23:21:28.247922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 664f322f-be31-479e-bd00-2991c8a79655 · outbound

This paper cites Efficiently modeling long sequences with structured state spaces, 2021.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models Efficiently modeling long sequences with structured state spaces, 2021

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:21:29.186424Z

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 6de75a3b-3925-4ec3-83e1-015bc890ad26 · outbound

This paper cites Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:21:29.147436Z

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 05f9f132-3f94-4fe6-aede-531626436ff9 · outbound

This paper cites Vision transformer in stenosis detection of coronary arteries.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models Vision transformer in stenosis detection of coronary arteries

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:21:29.112689Z

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 eb8174b7-f57f-44c9-aaef-fb7a5e1817a4 · outbound

This paper cites SSASS: Semi-Supervised Approach for Stenosis Segmentation.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models SSASS: Semi-Supervised Approach for Stenosis Segmentation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T23:21:28.288110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 818d855e-64de-401a-94b8-4bee4bc7c1df · outbound

This paper cites LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T23:21:28.299317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e53be59-49a0-4ca9-8ff9-ea136982a31c · outbound

This paper cites Pathophysiology of coronary artery disease.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models Pathophysiology of coronary artery disease

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:21:29.074279Z

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 f05138c6-ba5d-4695-9178-c0be51aab733 · outbound

This paper cites StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography.

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 c5a39441-6372-4f81-bb0e-1b363126f91f · outbound

This paper cites Swin- umamba: Mamba-based unet with imagenet-based pretraining.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models Swin- umamba: Mamba-based unet with imagenet-based pretraining

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:21:29.030059Z

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 fdba28ff-aa38-44c3-a4fd-034a876022a9 · outbound

This paper cites Vmamba: Visual state space model, 2024.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models Vmamba: Visual state space model, 2024

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T23:21:28.352403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f84f9b1-66f9-4af1-a79f-3a58fe3cd45b · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models Swin transformer: Hierarchical vision transformer using shifted windows

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T23:21:28.363555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02cc3579-f8dc-44a5-a98f-8d72ea73c3bd · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T23:21:28.372073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5712661-fc04-49bd-bc73-32a3267478ea · outbound

This paper cites An Introduction to Convolutional Neural Networks.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models An Introduction to Convolutional Neural Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T23:21:28.382187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b0c887c-b6c2-4cc4-95f0-ff40edaf1cf9 · outbound

This paper cites Hybrid classical–quantum con- volutional neural network for stenosis detection in x-ray coronary angiography.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models Hybrid classical–quantum con- volutional neural network for stenosis detection in x-ray coronary angiography

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:21:28.931253Z

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 f84b8c23-392c-47e4-9d73-c950950d91cc · outbound

This paper cites Dataset for automatic region-based coronary artery disease diagnos- tics using x-ray angiography images.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models Dataset for automatic region-based coronary artery disease diagnos- tics using x-ray angiography images

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:21:28.886760Z

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 201ec78a-3ca9-455c-85c5-b62b079b06b3 · outbound

This paper cites U-net: Con- volutional networks for biomedical image segmentation.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models U-net: Con- volutional networks for biomedical image segmentation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T23:21:28.408707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15ca7527-9477-4e47-b054-1983146e9bfc · outbound

This paper cites Atten- tion is all you need.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models Atten- tion is all you need

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:21:28.802998Z

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 f7ba1cf0-8ee5-444c-8161-3ebe745ad393 · outbound

This paper cites Automated identification and grading of coronary artery stenoses with x-ray angiography.

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models Automated identification and grading of coronary artery stenoses with x-ray angiography

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:21:28.761688Z

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.

Pith citing papers

No inbound Pith citation observations are available.