Paper Citation Record · LEDGER

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation

As of 13 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2506.15549.

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

pith.paper-citation-record.v1
2506.15549 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:58:32.174067Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

30 of 30 outbound references displayed

verified exact3
verified fuzzy11
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7f7492e-db62-4e31-8450-43141878ec2d · outbound

This paper cites an unresolved cited work.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:38.974139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ed951403-9178-483b-8da5-c33c1dda7548 · outbound

This paper cites an unresolved cited work.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:38.789526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8fc3fa5b-513c-4ec3-9e47-a82e602fe360 · outbound

This paper cites Lalande et al., Deep learning methods for automatic evaluation of delayed enhancement-mri.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Lalande et al., Deep learning methods for automatic evaluation of delayed enhancement-mri

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:38.589310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b0715e34-ab4a-40c8-98cc-2c083346a1be · outbound

This paper cites an unresolved cited work.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:38.390583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5e9f185a-4ea6-4f6f-8950-9a93b05646f4 · outbound

This paper cites Qayyum et al., Secure and robust machine learning for healthcare: A survey, IEEE Reviews in Biomedical Engineering, vol.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Qayyum et al., Secure and robust machine learning for healthcare: A survey, IEEE Reviews in Biomedical Engineering, vol

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:38.158721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 895109ec-2c19-4c6f-a9ce-e96129ccffd2 · outbound

This paper cites Savage,Synthetic data could be better than real data, 2023.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Savage,Synthetic data could be better than real data, 2023

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:38.019572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bada076b-24e4-42ea-9432-43ca7d73c4ac · outbound

This paper cites an unresolved cited work.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:37.844389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a2f4010b-8ae7-4d0c-b6e0-578d413add5c · outbound

This paper cites an unresolved cited work.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:37.681742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b4fed24-ab2b-400c-9fc9-6d468874d3a0 · outbound

This paper cites an unresolved cited work.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:37.465185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 92c07523-f7a7-4c00-afda-91c267f28495 · outbound

This paper cites an unresolved cited work.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:37.269390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cebf0971-d95a-432f-bade-ddf79de63a24 · outbound

This paper cites Du et al., Arsdm: Colonoscopy images synthesis with adaptive refinement se- mantic diffusion models, inMICCAI, Springer, 2023, pp.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Du et al., Arsdm: Colonoscopy images synthesis with adaptive refinement se- mantic diffusion models, inMICCAI, Springer, 2023, pp

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:37.097633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dcebe89c-3486-4da8-b0d1-7963f04ecfc8 · outbound

This paper cites an unresolved cited work.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:36.913996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c255a446-9e71-425d-8e3a-798a3a203d7e · outbound

This paper cites Jin et al., Free-form tumor synthesis in computed tomography images via richergenerativeadversarialnetwork,Knowledge-BasedSystems,vol.218,p.106753, 2021.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Jin et al., Free-form tumor synthesis in computed tomography images via richergenerativeadversarialnetwork,Knowledge-BasedSystems,vol.218,p.106753, 2021

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:36.751450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 35734235-5094-426f-9188-d08cb2221db4 · outbound

This paper cites Billot et al., Synthseg: Segmentation of brain mri scans of any contrast and resolution without retraining,Medical image analysis, vol.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Billot et al., Synthseg: Segmentation of brain mri scans of any contrast and resolution without retraining,Medical image analysis, vol

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:36.606993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 18402160-d765-41a7-9ca6-d3d417e590d3 · outbound

This paper cites FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:58:32.982581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fd168c93-e8ff-4ee3-926d-c8b2bdde6cc4 · outbound

This paper cites LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:30.414158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c646697f-9cac-4d2e-9e32-9d37a15faea7 · outbound

This paper cites Tian et al., Lesiondiffusion: Towards text-controlled general lesion synthesis, arXiv preprint arXiv:2503.00741, 2025.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Tian et al., Lesiondiffusion: Towards text-controlled general lesion synthesis, arXiv preprint arXiv:2503.00741, 2025

Reference 17

Resolution: verified exact; raw_fallback, observed 2026-08-06T23:58:32.745476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b3bdf15b-b9b1-4ffe-87bb-5d4a0282bc4f · outbound

This paper cites Ultrasound Image Synthesis Using Generative AI for Lung Ultrasound Detection.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Ultrasound Image Synthesis Using Generative AI for Lung Ultrasound Detection

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:58:32.344194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 31b8d9ae-9e39-4188-a0a6-377dc81de565 · outbound

This paper cites Lugmayr et al., Repaint: Inpainting using denoising diffusion probabilistic models,inProceedingsoftheIEEE/CVFconferenceoncomputervisionandpat- tern recognition, 2022, pp.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Lugmayr et al., Repaint: Inpainting using denoising diffusion probabilistic models,inProceedingsoftheIEEE/CVFconferenceoncomputervisionandpat- tern recognition, 2022, pp

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:36.423139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation df9451cf-9df3-49f5-b6bf-f8758f08acdb · outbound

This paper cites Rombach et al., High-resolution image synthesis with latent diffusion mod- els, inProceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2022, pp.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Rombach et al., High-resolution image synthesis with latent diffusion mod- els, inProceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2022, pp

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:36.146354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 315a3f5f-a978-40e0-a795-25abbaed582e · outbound

This paper cites an unresolved cited work.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:35.754688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 756a15c8-2ef1-4ee5-a830-f13197ce6c75 · outbound

This paper cites an unresolved cited work.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:35.360744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 736e54a8-9208-4250-999f-1dbb6f1344d9 · outbound

This paper cites an unresolved cited work.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:35.032914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0dc0fb8d-35d4-4bae-a73a-7faabb8a1d99 · outbound

This paper cites Isensee et al., Nnu-net: A self-configuring method for deep learning-based biomedical image segmentation,Nature methods, vol.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Isensee et al., Nnu-net: A self-configuring method for deep learning-based biomedical image segmentation,Nature methods, vol

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:34.683888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8d0e4dc5-0d3b-47a7-a487-ae31b0786a61 · outbound

This paper cites Ho et al., Denoising diffusion probabilistic models,Advances in neural infor- mation processing systems, vol.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Ho et al., Denoising diffusion probabilistic models,Advances in neural infor- mation processing systems, vol

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:34.422916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8272fa2e-9c31-4c24-9af0-01b89475ef97 · outbound

This paper cites an unresolved cited work.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:34.176396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a2d5347a-d5e5-4b26-8c0a-75ef9c86f3fe · outbound

This paper cites an unresolved cited work.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:33.964471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5ff6d814-e58a-4daf-b77e-f9818db2d9b8 · outbound

This paper cites Bai et al., A bi-ventricular cardiac atlas built from 1000+ high resolution mr images of healthy subjects and an analysis of shape and motion,Medical image analysis, vol.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Bai et al., A bi-ventricular cardiac atlas built from 1000+ high resolution mr images of healthy subjects and an analysis of shape and motion,Medical image analysis, vol

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:58:33.753910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ddf77227-53de-45ce-9ef1-deec579ac110 · outbound

This paper cites an unresolved cited work.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:33.509808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8756aadc-6e2c-4b09-8381-65129e5410d8 · outbound

This paper cites an unresolved cited work.

CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:58:33.221852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.