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Paper Citation Record · LEDGER

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications

As of 23 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2505.03426.

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

pith.paper-citation-record.v1
2505.03426 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:56:15.748689Z

measured 26 of 26 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

26 of 26 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f1c85941-6400-4f50-9ca6-712037d1ee2f · outbound

This paper cites Medical Image Analysis84, 102688 (2023).

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications Medical Image Analysis84, 102688 (2023)

Reference 1

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Observation 2cf31bf3-8c35-4995-bc21-5a108f6b21a2 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2

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Observation 70dc2069-1495-4453-a53d-38f5102a61cb · outbound

This paper cites Nature medicine26(10), 1654–1662 (2020).

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications Nature medicine26(10), 1654–1662 (2020)

Reference 3

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Observation f09c9b35-85a5-4c35-9005-bafad378a89a · outbound

This paper cites Nature Biomedical Engineering pp.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications Nature Biomedical Engineering pp

Reference 4

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Observation d92e92c5-978c-4137-8eed-3d4c394e9a2e · outbound

This paper cites an unresolved cited work.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications Unresolved cited work

Reference 5

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Observation 6f4e2939-222b-4872-8b98-87ff01ad565c · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 6

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Observation 0e48a999-b82f-4cc6-aa11-fb9acb6d92ba · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 7

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Observation 346729e0-09f9-4af0-bb70-d0a05fd3e50e · outbound

This paper cites Advances in neural information processing systems30 (2017).

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications Advances in neural information processing systems30 (2017)

Reference 8

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Observation 90fe27f9-9e6f-4288-94f3-e4eca4ad8938 · outbound

This paper cites In: International Conference on Med- ical Image Computing and Computer-Assisted Intervention.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications In: International Conference on Med- ical Image Computing and Computer-Assisted Intervention

Reference 9

Resolution
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Observation 4bcf8e6c-8fd2-4f46-81ac-e97d25beb26b · outbound

This paper cites Auto-Encoding Variational Bayes.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications Auto-Encoding Variational Bayes

Reference 10

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Observation 3a90a4d2-3355-44d8-9f82-704623d5fa5d · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion

Reference 11

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Observation f37996b6-f434-454a-b686-f8c80e83eccc · outbound

This paper cites Autoregressive Image Generation without Vector Quantization.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications Autoregressive Image Generation without Vector Quantization

Reference 12

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Observation 953d617c-d56f-4f54-9f9b-dd7ed1223f6c · outbound

This paper cites In: International Conference on Medical Image Com- puting and Computer-Assisted Intervention.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications In: International Conference on Medical Image Com- puting and Computer-Assisted Intervention

Reference 13

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Observation 1e7b2ae4-8862-4d4e-8a92-291e66fb3cf6 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 14

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Source-reported events for the cited work

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Observation a7f5cc65-b7a9-4663-921c-5051447bb3a0 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 15

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Observation 560056a8-2cff-4473-a845-2950ecc3f0b9 · outbound

This paper cites Nature Machine Intelligence 6(7), 811–819 (2024).

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications Nature Machine Intelligence 6(7), 811–819 (2024)

Reference 16

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Observation 927b5967-f856-488e-b843-ae90ecfb8917 · outbound

This paper cites an unresolved cited work.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications Unresolved cited work

Reference 17

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Observation 98f09c5b-8d5f-4523-9289-1ec1c26f1e96 · outbound

This paper cites Nature Medicine pp.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications Nature Medicine pp

Reference 18

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Observation e1e815d5-dbf2-493e-b8cb-d20b8df6c165 · outbound

This paper cites ModelScope Text-to-Video Technical Report.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications ModelScope Text-to-Video Technical Report

Reference 19

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Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications Unresolved cited work

Reference 20

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Observation 3e4337a5-f747-4b69-b01e-d564669e9591 · outbound

This paper cites VideoGPT: Video Generation using VQ-VAE and Transformers.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 21

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Observation 867386df-c526-4723-bae8-647afe65b6a2 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 22

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Source-reported events for the cited work

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Observation 3aad8a4e-ea0d-408d-8a5e-5066c0cb04ed · outbound

This paper cites Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

Reference 23

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Source-reported events for the cited work

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Observation 2cb0435c-5073-4782-b1fe-d6a7121003a1 · outbound

This paper cites Medical Image Analysis 83, 102678 (2023).

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications Medical Image Analysis 83, 102678 (2023)

Reference 24

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Observation 815a15c2-0379-4428-abb0-81e157ebe724 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 25

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Observation 285ebcbd-3fbb-4f41-ac56-d281193f0695 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 26

Resolution
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Source-reported events for the cited work

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Pith citing papers

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