Paper Citation Record · LEDGER

MRI Image Generation Based on Text Prompts

As of 13 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2505.22682.

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

pith.paper-citation-record.v1
2505.22682 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:51:40.618815Z

measured 39 of 39 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

39 of 39 outbound references displayed

verified exact2
verified fuzzy30
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd5b9ce1-5909-460b-a9a1-6254e51dd811 · outbound

This paper cites Basic principles of magnetic resonance imaging[J].

MRI Image Generation Based on Text Prompts Basic principles of magnetic resonance imaging[J]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:47.100430Z

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 eadf6ad3-5fce-41b3-bac3-42e09c4e4633 · outbound

This paper cites Between access and privacy: challenges in sharing health data[J].

MRI Image Generation Based on Text Prompts Between access and privacy: challenges in sharing health data[J]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:46.925442Z

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 148d8b8c-8916-4af0-93a6-8f062447a9a8 · outbound

This paper cites Medical im age data augmentation: techniques, comparisons and interpretations[J].

MRI Image Generation Based on Text Prompts Medical im age data augmentation: techniques, comparisons and interpretations[J]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:46.755511Z

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 6c90b336-a713-4b90-8fa6-d18acfef7475 · outbound

This paper cites Generative adversarial networks[J].

MRI Image Generation Based on Text Prompts Generative adversarial networks[J]

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:46.599560Z

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 551764d7-e604-4047-b926-1e8e01a01e69 · outbound

This paper cites Diffusion models in vision: A survey[J].

MRI Image Generation Based on Text Prompts Diffusion models in vision: A survey[J]

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:46.416796Z

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 faab1fea-f045-4386-a31f-938bcacb7cf7 · outbound

This paper cites Conditional text image generation with diffusi on models[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

MRI Image Generation Based on Text Prompts Conditional text image generation with diffusi on models[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:46.279001Z

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 a97cb817-712b-49eb-aa82-2a8b130f95af · outbound

This paper cites Brain imaging generation with latent diffusion models[C]//MICCAI Workshop on Deep Generative Models.

MRI Image Generation Based on Text Prompts Brain imaging generation with latent diffusion models[C]//MICCAI Workshop on Deep Generative Models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:46.130332Z

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 23c636ef-61cc-4d79-846c-da4589d6bba9 · outbound

This paper cites A review of medical imaging research based on diffusion models [J].

MRI Image Generation Based on Text Prompts A review of medical imaging research based on diffusion models [J]

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:45.970385Z

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 0b1dda53-9997-494c-9ec0-46be7b61e40c · outbound

This paper cites Text-to-image Diffusion Models in Generative AI: A Survey.

MRI Image Generation Based on Text Prompts Text-to-image Diffusion Models in Generative AI: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:51:37.435773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53c01132-2c7c-4e21-b4b7-b1810a66005b · outbound

This paper cites Attngan: Fine -grained text to image generation with attentional generative adversarial networks[C]//Proceedings of the IEEE conference on computer vision and pattern recognition.

MRI Image Generation Based on Text Prompts Attngan: Fine -grained text to image generation with attentional generative adversarial networks[C]//Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:45.719892Z

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 080ae20d-5de1-4ca4-8387-21806d22d7ea · outbound

This paper cites Learning to generate semantic layouts for higher text-image correspondence in text -to-image synthesis[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision.

MRI Image Generation Based on Text Prompts Learning to generate semantic layouts for higher text-image correspondence in text -to-image synthesis[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:45.430306Z

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 7e7977de-7b68-4513-aa17-0bbdcbe6e9d0 · outbound

This paper cites Inceptionism: Going deeper into neural networks[J].

MRI Image Generation Based on Text Prompts Inceptionism: Going deeper into neural networks[J]

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:45.155679Z

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 6528fec7-570c-4d5c-becf-533b23ae6ced · outbound

This paper cites The creativity of text -to-image generation[C]//Proceedings of the 25th international academic mindtrek conference.

MRI Image Generation Based on Text Prompts The creativity of text -to-image generation[C]//Proceedings of the 25th international academic mindtrek conference

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:44.913088Z

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 088dd28b-d1bc-498f-a20b-fad0bcc7bbeb · outbound

This paper cites Learning transferable visual models from natural language supervision[C]//International conference on machine learning.

MRI Image Generation Based on Text Prompts Learning transferable visual models from natural language supervision[C]//International conference on machine learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:44.765758Z

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 407dcd98-e9f7-40c2-99bb-b6c5d6fcd998 · outbound

This paper cites Generative search engines: Initial experiments[C]//Proceedings of the International Conference on Computational Creativity.

MRI Image Generation Based on Text Prompts Generative search engines: Initial experiments[C]//Proceedings of the International Conference on Computational Creativity

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:44.574626Z

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 4a663cb5-3f74-4c7b-9d8d-f7fe1b54d1a8 · outbound

This paper cites Vqgan-clip: Open domain image generation and editing with natural language guidance[C]//European Conference on Computer Vision.

MRI Image Generation Based on Text Prompts Vqgan-clip: Open domain image generation and editing with natural language guidance[C]//European Conference on Computer Vision

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:44.414200Z

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 4d1aabbd-1e7e-4108-a702-5c272a5bae06 · outbound

This paper cites Diffusion models beat gans on image synthesis[J].

MRI Image Generation Based on Text Prompts Diffusion models beat gans on image synthesis[J]

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:44.205228Z

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 488dc523-e114-4eae-b7c8-69106e57c3ae · outbound

This paper cites High -resolution image synthesis with latent diffusion models[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

MRI Image Generation Based on Text Prompts High -resolution image synthesis with latent diffusion models[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:44.072253Z

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 418dea11-da69-423a-9c1b-db5fba1a0bbb · outbound

This paper cites Medgen3d: A deep generative framework for paired 3d image and mask generation[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention.

MRI Image Generation Based on Text Prompts Medgen3d: A deep generative framework for paired 3d image and mask generation[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:43.926304Z

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 4f1cf7a3-8431-4593-9db1-0ab05761e7ab · outbound

This paper cites RoentGen: Vision-Language Foundation Model for Chest X-ray Generation.

MRI Image Generation Based on Text Prompts RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:51:38.474509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3a14a0d-dcaf-48dc-962a-2335a114702c · outbound

This paper cites Augmenting medical image classifiers with synthetic data from latent diffusion models.

MRI Image Generation Based on Text Prompts Augmenting medical image classifiers with synthetic data from latent diffusion models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:51:38.599758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9060bfcf-c866-4795-8b18-7189f9627476 · outbound

This paper cites A Generalist Model for Diverse Text-Guided Medical Image Synthesis.

MRI Image Generation Based on Text Prompts A Generalist Model for Diverse Text-Guided Medical Image Synthesis

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:51:41.176364Z

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 a80d8453-8e92-4c4a-9d43-f00317fbb6cf · outbound

This paper cites an unresolved cited work.

MRI Image Generation Based on Text Prompts Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:51:43.761073Z

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 3a854ea6-51e3-4f2b-8556-f150fe1d1bbb · outbound

This paper cites A foundation model utilizing chest CT volumes and radiology reports for supervised -level zero -shot detection of abnormalities[J].

MRI Image Generation Based on Text Prompts A foundation model utilizing chest CT volumes and radiology reports for supervised -level zero -shot detection of abnormalities[J]

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:51:39.026215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea6964cc-3d38-469d-a8fe-052ecba86042 · outbound

This paper cites LDPM: Towards undersampled MRI reconstruction with MR-VAE and Latent Diffusion Prior.

MRI Image Generation Based on Text Prompts LDPM: Towards undersampled MRI reconstruction with MR-VAE and Latent Diffusion Prior

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:51:40.916257Z

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 e7e38272-e693-4bd2-9896-013ab65e4d33 · outbound

This paper cites Bayesian MRI reconstruction with joint uncertainty estimation using diffusion models[J].

MRI Image Generation Based on Text Prompts Bayesian MRI reconstruction with joint uncertainty estimation using diffusion models[J]

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:43.608628Z

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 9148d24e-98d3-4511-b87a-9347a18e205b · outbound

This paper cites Tumor detection by nuclear magnetic resonance[J].

MRI Image Generation Based on Text Prompts Tumor detection by nuclear magnetic resonance[J]

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:43.451524Z

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 39c8a508-4114-4eae-b797-13e76a9a515e · outbound

This paper cites Image formation by induced local interactions: examples employing nuclear magnetic resonance[J].

MRI Image Generation Based on Text Prompts Image formation by induced local interactions: examples employing nuclear magnetic resonance[J]

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:43.315837Z

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 d855bef1-f6c9-40e1-8e1b-2eb626a8fe94 · outbound

This paper cites NMR 'diffraction' in solids?[J].

MRI Image Generation Based on Text Prompts NMR 'diffraction' in solids?[J]

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:43.094573Z

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 2ee27aa3-ebe9-4834-b1f8-e6c9f4c8427d · outbound

This paper cites Principles of Magnetic Resonance Imaging [M].

MRI Image Generation Based on Text Prompts Principles of Magnetic Resonance Imaging [M]

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:42.925039Z

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 29b84389-f069-445e-b15c-fd3e8e0a7785 · outbound

This paper cites Denoising diffusion probabilistic models[J].

MRI Image Generation Based on Text Prompts Denoising diffusion probabilistic models[J]

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:42.732153Z

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 efb98906-a51d-4177-b53d-8376663677bb · outbound

This paper cites Denoising Diffusion Implicit Models.

MRI Image Generation Based on Text Prompts Denoising Diffusion Implicit Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:51:39.877426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bf07007-ceac-4f7e-a0a5-d49e5f2cf924 · outbound

This paper cites M4Raw: A multi-contrast, multi-repetition, multi-channel MRI k-space dataset for low-field MRI research[J].

MRI Image Generation Based on Text Prompts M4Raw: A multi-contrast, multi-repetition, multi-channel MRI k-space dataset for low-field MRI research[J]

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:42.506153Z

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 d6806acc-58dc-424c-8a71-1f21b83172b4 · outbound

This paper cites fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.

MRI Image Generation Based on Text Prompts fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:51:40.036958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12a52ac2-d065-40dd-bf7e-cd28cafee461 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject -driven generation[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

MRI Image Generation Based on Text Prompts Dreambooth: Fine tuning text-to-image diffusion models for subject -driven generation[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:42.272340Z

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 1fabe7f9-77d2-4435-99b0-abaec18afa25 · outbound

This paper cites GANs trained by a two time -scale update rule converge to a local nash equilibrium[C]//Proceedings of the 31st International Conference on Neural Information Processing Systems.

MRI Image Generation Based on Text Prompts GANs trained by a two time -scale update rule converge to a local nash equilibrium[C]//Proceedings of the 31st International Conference on Neural Information Processing Systems

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:42.099975Z

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 a5cabeab-6e31-4868-801e-61eee4480fe4 · outbound

This paper cites Multiscale structural similarity for image quality assessment[C]//The Thirty-Seventh Asilomar Conference on Signals, Systems & Computers, 2003: 1398-1402.

MRI Image Generation Based on Text Prompts Multiscale structural similarity for image quality assessment[C]//The Thirty-Seventh Asilomar Conference on Signals, Systems & Computers, 2003: 1398-1402

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:41.857541Z

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 a8375697-68f4-4404-89f5-646d77b23231 · outbound

This paper cites RadBERT: adapting transformer-based language models to radiology[J].

MRI Image Generation Based on Text Prompts RadBERT: adapting transformer-based language models to radiology[J]

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:41.687969Z

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 dc23f812-4472-442c-8c32-3628cbabfdef · outbound

This paper cites Self-improving generative foundation model for synthetic medical image generation and clinical applications[J].

MRI Image Generation Based on Text Prompts Self-improving generative foundation model for synthetic medical image generation and clinical applications[J]

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:51:41.419563Z

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.