Paper Citation Record · LEDGER

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning

As of 13 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 4 inbound Pith citation observations for arXiv:2501.04284.

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

pith.paper-citation-record.v1
2501.04284 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:39:36.414028Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:21:47.364742Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

49 of 49 outbound references displayed

verified exact0
verified fuzzy35
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation b9822575-ba44-49f5-9e67-c730599a7bfe · outbound

This paper cites A vision–language foundation model for the generation of realistic chest x-ray images.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning A vision–language foundation model for the generation of realistic chest x-ray images

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:37.220638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1b98ed7a-3b6b-441b-ad09-2b5a0e072b49 · outbound

This paper cites Classifier-Free Guidance is a Predictor-Corrector.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Classifier-Free Guidance is a Predictor-Corrector

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:36.171957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70aa28d2-672a-4550-8143-537c168c473c · outbound

This paper cites Video generation models as world simulators.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Video generation models as world simulators

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:37.205303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 74005019-cce2-4c03-a679-70e8ab29954d · outbound

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

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning A Generalist Model for Diverse Text-Guided Medical Image Synthesis

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:36.182985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64984a4d-b0d0-4b9e-9290-f404fa5481d9 · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:37.189919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cbbed9a8-0424-4949-97fb-64cc350556bc · outbound

This paper cites CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:36.194266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b67582e-8ce0-4ff5-949d-72b01551bccb · outbound

This paper cites Decomposed Diffusion Sampler for Accel- erating Large-Scale Inverse Problems.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Decomposed Diffusion Sampler for Accel- erating Large-Scale Inverse Problems

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:37.175777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7644d20d-f14d-415e-9403-5f471f15ca31 · outbound

This paper cites Score-based diffusion models for accelerated MRI.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Score-based diffusion models for accelerated MRI

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:37.160286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d4f6c39b-3327-45b6-b8fa-61d48e2816e2 · outbound

This paper cites Prompt-tuning Latent Diffusion Models for Inverse Problems.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Prompt-tuning Latent Diffusion Models for Inverse Problems

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:37.145267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cd6d1ef4-e762-4b94-97c8-eac9795f23fa · outbound

This paper cites LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:36.215923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d706ebf6-ca9c-432f-b272-4192a0ad7324 · outbound

This paper cites Elements of information theory.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Elements of information theory

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:37.130795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 04aec3fd-3788-4873-b0f6-0755b7ffa0f4 · outbound

This paper cites A Survey on Diffusion Models for Inverse Problems.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning A Survey on Diffusion Models for Inverse Problems

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:36.226708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ea2b5c6-59fe-41e5-94c6-18a120dfea6c · outbound

This paper cites SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:37.115611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 176b3a53-0215-4ccd-89ca-14d7d23b99fc · outbound

This paper cites Parallel MR imaging.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Parallel MR imaging

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:37.100171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 79bd23a0-7284-44b6-8703-d750fb38254c · outbound

This paper cites Novel View Synthesis with Pixel-Space Diffusion Models.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Novel View Synthesis with Pixel-Space Diffusion Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:36.242039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82f5e4e5-e841-465c-a799-a8ee4321438f · outbound

This paper cites GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:36.247440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adb8ad7e-3db0-4534-bea6-5d19fcf7619f · outbound

This paper cites Denoising diffusion probabilistic models.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Denoising diffusion probabilistic models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:37.084162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aefa63bb-a6c8-4fd8-acbc-16e02595fc5d · outbound

This paper cites Classifier-Free Diffusion Guidance.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Classifier-Free Diffusion Guidance

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:37.068768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 22bd57a9-a14b-4ec1-8cf9-38d1906cceaa · outbound

This paper cites Estimation of non-normalized statistical models by score matching.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Estimation of non-normalized statistical models by score matching

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:37.052727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d58851e2-179e-4917-ae4b-62d650dd907a · outbound

This paper cites Robust compressed sensing mri with deep generative priors.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Robust compressed sensing mri with deep generative priors

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:37.036549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 68dee4dc-af1d-42a9-87b6-80a6eb369230 · outbound

This paper cites Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:37.020741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c465b9c1-e475-4a48-8510-ad180ffad36c · outbound

This paper cites Denoising Diffusion Restora- tion Models.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Denoising Diffusion Restora- tion Models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:37.004508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 80466003-497a-4e6f-a55f-240eab28e7b0 · outbound

This paper cites Denoising diffusion probabilistic models for 3D medical image generation.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Denoising diffusion probabilistic models for 3D medical image generation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.988916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a21ee8fe-d180-4c82-ab01-e5d9bdf94292 · outbound

This paper cites Regularization by Texts for Latent Diffusion Inverse Solvers.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Regularization by Texts for Latent Diffusion Inverse Solvers

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:36.289742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 027cfa65-62bf-4674-9483-a691dc9335f7 · outbound

This paper cites Dreamsampler: Unifying diffusion sampling and score distillation for image manipulation.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Dreamsampler: Unifying diffusion sampling and score distillation for image manipulation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.972983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4afdd141-ea1d-4c83-8d79-6bc466cdb189 · outbound

This paper cites Controllable text-to-image synthesis for multi-modality MR images.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Controllable text-to-image synthesis for multi-modality MR images

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.956810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6501c6e9-3455-4f0d-911d-9be1d5e9784e · outbound

This paper cites Auto-Encoding Variational Bayes.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Auto-Encoding Variational Bayes

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:36.305731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0f0f6eb-8e7d-4773-9961-7683143e5b35 · outbound

This paper cites The multimodal brain tumor image segmentation benchmark (BRATS).

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning The multimodal brain tumor image segmentation benchmark (BRATS)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.940752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f0201259-8361-4232-9c79-1bfd61ce86e5 · outbound

This paper cites SigPy: a python package for high performance iterative reconstruction.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning SigPy: a python package for high performance iterative reconstruction

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.925173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b90dc1bf-3fd1-4291-984c-d4a561573186 · outbound

This paper cites Scalable diffusion models with transformers.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Scalable diffusion models with transformers

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.908988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b0010d81-d028-4f94-9c3f-fc1feb403255 · outbound

This paper cites Wuerstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Wuerstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:36.325604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30527177-0197-4416-ae77-dcb9050f5fc0 · outbound

This paper cites Brain imaging generation with latent diffusion models.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Brain imaging generation with latent diffusion models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.893455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7653018f-f4bc-43cf-a68d-dd00a76a212a · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning DreamFusion: Text-to-3D using 2D Diffusion

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.878367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 46ceac2b-5270-4bb6-93d4-3857ac871f1c · outbound

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

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Learning transferable visual models from natural language supervision

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.861973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7565605e-8cd5-4e04-acb9-2b433d3d6310 · outbound

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

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning High-resolution image synthesis with latent diffusion models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.847314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a17cb176-b519-44f5-abdf-cfa37e69c882 · outbound

This paper cites Solving linear inverse problems provably via posterior sampling with latent diffusion models.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Solving linear inverse problems provably via posterior sampling with latent diffusion models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.831957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2d8f0939-da28-4713-b949-ffac31084e4c · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Photorealistic text-to-image diffusion models with deep language understanding

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.815599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 59cf322b-620a-42bb-90af-344cc685eb1a · outbound

This paper cites Diffusion Models as Data Mining Tools.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Diffusion Models as Data Mining Tools

Reference 38

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Source-reported events for the cited work

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Observation f241a834-5969-4f7a-811b-73555aeb9e75 · outbound

This paper cites Denoising Diffusion Implicit Models.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Denoising Diffusion Implicit Models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.799844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9876d507-5e93-4941-a375-c633fbd87481 · outbound

This paper cites Solving Inverse Problems in Medical Imaging with Score-Based Generative Models.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.782524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6ca07d05-ce8b-41a7-83ad-75a8b567c5f5 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Score-Based Generative Modeling through Stochastic Differential Equations

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.763319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 99b3e91e-16c6-45d9-bfc0-c12ce308bc33 · outbound

This paper cites UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.745131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 26ac852f-e8ea-4386-9657-4c1bd99a1f9a · outbound

This paper cites DeepFloyd-IF: High-Quality Text-to-Image Synthesis.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning DeepFloyd-IF: High-Quality Text-to-Image Synthesis

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.727648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9766ad51-daa1-49c4-9ebe-f5efc1070390 · outbound

This paper cites ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.710530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c91a5cb0-f48d-4d5e-b661-85e81ddd4764 · outbound

This paper cites Towards General Text-guided Image Synthesis for Customized Multimodal Brain MRI Generation.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Towards General Text-guided Image Synthesis for Customized Multimodal Brain MRI Generation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:36.394096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21397395-13eb-46a3-a687-f24361b0d4df · outbound

This paper cites Image quality as- sessment: From error visibility to structural similarity.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning Image quality as- sessment: From error visibility to structural similarity

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.693789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 03a9fac7-eabf-48a7-bef9-4827c9671847 · outbound

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

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:36.403902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 557e2625-90d4-4a28-8a16-877d11bd1d3d · outbound

This paper cites The unrea- sonable effectiveness of deep features as a perceptual metric.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning The unrea- sonable effectiveness of deep features as a perceptual metric

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:39:36.677445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c3d8aa4f-7078-41cc-888b-f8328ab1f64c · outbound

This paper cites fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:36.414028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1c7cf9fe-7477-4645-b290-57c88f43d522 · inbound

MR-CLIP: Efficient Metadata-Guided Learning of MRI Contrast Representations cites this paper.

MR-CLIP: Efficient Metadata-Guided Learning of MRI Contrast Representations ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:47.364742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1700b994-ff94-428d-8e9e-23dc9fbb02df · inbound

Inference-Time Search Using Side Information for Diffusion-Based Image Reconstruction cites this paper.

Inference-Time Search Using Side Information for Diffusion-Based Image Reconstruction ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T12:43:38.318518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e48ca55d-658a-4b20-b76b-6b14035aa33a · inbound

Active Learning for Conditional Generative Compressed Sensing cites this paper.

Active Learning for Conditional Generative Compressed Sensing ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:36:06.409347Z

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FLORA: A deep learning approach to predict forest attributes from heterogeneous LiDAR data cites this paper.

FLORA: A deep learning approach to predict forest attributes from heterogeneous LiDAR data ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-01T05:35:25.050106Z

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