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Paper Citation Record · LEDGER

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection

As of 21 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2504.21231.

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

pith.paper-citation-record.v1
2504.21231 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:11:56.080438Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

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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

32 of 32 outbound references displayed

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External citation measurements

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Outbound references

Observation c2822d39-238f-4062-9467-3d0139c67458 · outbound

This paper cites Role of upper airway ultrasound in airway management,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Role of upper airway ultrasound in airway management,

Reference 1

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Observation f43abf41-6cde-478b-80ff-cf9d20cd925d · outbound

This paper cites Role of ultrasound in the airway management of critically ill patients,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Role of ultrasound in the airway management of critically ill patients,

Reference 2

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Observation ba9a98e0-2999-4b9c-915a-9b27bd860ac8 · outbound

This paper cites Im- balance problems in object detection: A review,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Im- balance problems in object detection: A review,

Reference 3

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Observation 793ae658-e068-44d2-8c77-4891160f1a73 · outbound

This paper cites Smote: synthetic minority over-sampling technique,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Smote: synthetic minority over-sampling technique,

Reference 4

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Source-reported events for the cited work

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Observation 6ee73886-d710-4e06-973e-6879f66d91a3 · outbound

This paper cites C4. 5, class imbalance, and cost sensitivity: why under-sampling beats over-sampling,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection C4. 5, class imbalance, and cost sensitivity: why under-sampling beats over-sampling,

Reference 5

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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.

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Observation dd825726-4f8d-4475-bebb-0d94db42000a · outbound

This paper cites Handling class imbalance problem using oversampling techniques: A review,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Handling class imbalance problem using oversampling techniques: A review,

Reference 6

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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.

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Observation 20be09bc-c829-42c4-bba1-416f2390c551 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2f24933b-5024-45cd-a7c8-47500665cc03 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection mixup: Beyond Empirical Risk Minimization

Reference 8

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0a82c9de-9296-4cff-b594-6ca790478f49 · outbound

This paper cites Relay backpropa- gation for effective learning of deep convolutional neural networks,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Relay backpropa- gation for effective learning of deep convolutional neural networks,

Reference 9

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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.

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Observation 3c974abf-2481-4941-bcd5-b9166dac2b01 · outbound

This paper cites Lvis: A dataset for large vocabulary instance segmentation,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Lvis: A dataset for large vocabulary instance segmentation,

Reference 10

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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.

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Observation 9cde35b2-ee97-46f3-bdc4-496b1cd78ec5 · outbound

This paper cites SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems

Reference 11

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Source-reported events for the cited work

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Observation e3a73ed3-7a83-4583-bf56-2e9facaf395d · outbound

This paper cites Generative adversarial nets,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Generative adversarial nets,

Reference 12

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Source-reported events for the cited work

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Observation 83b0481f-921a-48ed-8e05-4648a646ca00 · outbound

This paper cites Denoising diffusion probabilistic models,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Denoising diffusion probabilistic models,

Reference 13

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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.

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Observation d7682737-e197-45c1-a2b0-98e3ffebaec0 · outbound

This paper cites an unresolved cited work.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Unresolved cited work

Reference 14

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Source-reported events for the cited work

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Observation 995af0bc-d733-4964-ac9b-e80ef4a7a2c3 · outbound

This paper cites Modalities guided latent diffusion model for brain mri synthesis,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Modalities guided latent diffusion model for brain mri synthesis,

Reference 15

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Source-reported events for the cited work

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Observation 58e858fd-a25c-45b0-b245-3c74229be3a7 · outbound

This paper cites Score-based diffusion models for accelerated mri,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Score-based diffusion models for accelerated mri,

Reference 16

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Source-reported events for the cited work

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Observation ae9f1bfb-7a74-4f4b-b6c2-f42f86599648 · outbound

This paper cites Medsyn: Text-guided anatomy-aware syn- thesis of high-fidelity 3d ct images,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Medsyn: Text-guided anatomy-aware syn- thesis of high-fidelity 3d ct images,

Reference 17

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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.

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Observation 3d49b723-e5e1-4650-a70c-520c4196866b · outbound

This paper cites Denoising diffusion probabilistic models,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Denoising diffusion probabilistic models,

Reference 18

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Source-reported events for the cited work

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Observation 304f941b-4060-4be7-83c3-1bec424e3637 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection High-resolution image synthesis with latent diffusion models,

Reference 19

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Source-reported events for the cited work

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Observation a5e3c640-2ca1-4db9-9a51-190c7dad6cfe · outbound

This paper cites Auto-Encoding Variational Bayes.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Auto-Encoding Variational Bayes

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5ef60e28-7748-4f62-9c46-877d1149a60e · outbound

This paper cites Learning transferable visual models from natural language supervision,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Learning transferable visual models from natural language supervision,

Reference 21

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Observation d8b7e4a3-f2a4-4b0f-9bc6-46f81a6c08a6 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 930373cb-0e50-466b-a91e-bb0f148b04f4 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection LoRA: Low-Rank Adaptation of Large Language Models

Reference 23

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Unavailable: canonical work link unavailable.

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Observation 17c0d2bd-3a93-48e8-8318-b2a4c5427467 · outbound

This paper cites Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN

Reference 24

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Observation 47b93b4f-5dec-4171-b6c6-10a9d02e1a05 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 25

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Observation 535a1e83-e43c-40e9-b9e1-a69b832e7022 · outbound

This paper cites Improved techniques for training gans,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Improved techniques for training gans,

Reference 26

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verified fuzzy
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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.

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Observation 6398c78e-545b-47e0-aa5f-4764b2978d19 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 71e6fcbf-a0c6-4a87-8910-3f6009b4a275 · outbound

This paper cites Cmw-net: Learning a class-aware sample weighting mapping for robust deep learning,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Cmw-net: Learning a class-aware sample weighting mapping for robust deep learning,

Reference 28

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verified fuzzy
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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.

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Observation c759eddc-1ef9-437f-8a77-418617b0ef87 · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bd32f775-816b-457a-ab24-5a9d4a925697 · outbound

This paper cites Ssd: Single shot multibox detector,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection Ssd: Single shot multibox detector,

Reference 30

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verified fuzzy
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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.

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Observation 7d8ef64e-d232-4e6d-9880-698c4feb17ad · outbound

This paper cites You only look once: Unified, real-time object detection,.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection You only look once: Unified, real-time object detection,

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7a8536ee-5b18-48ca-bca8-bc29f2d1af1e · outbound

This paper cites YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.

T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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