Paper Citation Record · LEDGER

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention

As of 4 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2605.06699.

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

pith.paper-citation-record.v1
2605.06699 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T01:29:29.830450Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

34 of 34 outbound references displayed

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verified fuzzy33
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e5b513d-cdd3-42d7-ba6a-181574ae62c7 · outbound

This paper cites Denoising diffusion probabilistic models.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Denoising diffusion probabilistic models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.332159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f6030486-24fa-4d5a-b46b-77c4804ccc43 · outbound

This paper cites Score- based generative modeling through stochastic differential equations.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Score- based generative modeling through stochastic differential equations

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.334406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4689bfdc-0d94-464d-b28a-4b945cf4d657 · outbound

This paper cites MAISI: Medical AI for synthetic imaging.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention MAISI: Medical AI for synthetic imaging

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.336391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 91366f02-6235-4cbd-b512-98c92b696200 · outbound

This paper cites Medical image synthesis for data augmentation and anonymization using generative adversarial networks.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Medical image synthesis for data augmentation and anonymization using generative adversarial networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.344250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9bec8e5d-5cb9-43aa-bbda-9f1da2f78edd · outbound

This paper cites Review of multimodal machine learning approaches in healthcare.Information Fusion, 114:e102690.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Review of multimodal machine learning approaches in healthcare.Information Fusion, 114:e102690

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.328361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 802e5a47-4d49-4d35-b1df-9e7e6351ce7e · outbound

This paper cites Cross-conditioned diffusion model for medical image to image translation.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Cross-conditioned diffusion model for medical image to image translation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.305693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9b4d7f66-0c56-45fb-83ee-278d5542ec4a · outbound

This paper cites Unified multi-modal image synthesis for missing modality imputation.IEEE Transactions on Medical Imaging, 44(1):4–18.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Unified multi-modal image synthesis for missing modality imputation.IEEE Transactions on Medical Imaging, 44(1):4–18

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.330452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1faac62f-ffdb-4646-b347-c1cf83a68877 · outbound

This paper cites Raab, and Chris Dibben.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Raab, and Chris Dibben

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.301562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 12d5c47b-7c84-4db5-a9db-3291c1e0fd97 · outbound

This paper cites Adversarial random forests for density esti- mation and generative modeling.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Adversarial random forests for density esti- mation and generative modeling

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.319723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4fb6385e-1738-44b4-af6d-b3987c11cba0 · outbound

This paper cites Why do tree-based models still outperform deep learning on typical tabular data? InAdvances in Neural Information Processing Systems, volume 35, pages 507–520.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Why do tree-based models still outperform deep learning on typical tabular data? InAdvances in Neural Information Processing Systems, volume 35, pages 507–520

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.299688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5babec6a-6d60-4ea3-95cb-093b24766eb2 · outbound

This paper cites Deep neural networks and tabular data: A survey.IEEE Transactions on Neural Networks and Learning Systems, 35(6):7499–7519.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Deep neural networks and tabular data: A survey.IEEE Transactions on Neural Networks and Learning Systems, 35(6):7499–7519

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.340534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d3499453-4d4e-4edc-a088-3d5d9f32ada1 · outbound

This paper cites Tabular data: Deep learning is not all you need.Information Fusion, 81:84–90.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Tabular data: Deep learning is not all you need.Information Fusion, 81:84–90

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.303480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e40db821-812d-48f7-ae0a-e4b1068aba82 · outbound

This paper cites Generalization in generation: A closer look at exposure bias.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Generalization in generation: A closer look at exposure bias

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.307759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 15f0d383-b33c-40c8-8c4d-1c5ea222d570 · outbound

This paper cites TabDDPM: Modelling tabular data with diffusion models.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention TabDDPM: Modelling tabular data with diffusion models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.311721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b5985e33-630c-4eab-b359-48eb80a02711 · outbound

This paper cites Mixed-type tabular data synthesis with score-based diffusion in latent space.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Mixed-type tabular data synthesis with score-based diffusion in latent space

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.315798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 868df6b5-5180-46dd-a28d-3ee815f1a444 · outbound

This paper cites Diffusion models for multi-task generative modeling.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Diffusion models for multi-task generative modeling

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.342339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6f2fc36f-b7f0-44f0-b90e-5a5cfcfa027a · outbound

This paper cites Attention is all you need.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Attention is all you need

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.295930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dc0e61bc-d98d-4775-841f-d7471ae0d43a · outbound

This paper cites Auto-encoding variational bayes.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Auto-encoding variational bayes

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.294091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9899b757-1569-4e30-aaab-6630fb77bc58 · outbound

This paper cites Framework and baseline examination of the German National Cohort (NAKO).Eur J Epidemiol, 37(10):1107–1124.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Framework and baseline examination of the German National Cohort (NAKO).Eur J Epidemiol, 37(10):1107–1124

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.313619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f2457f90-0eca-4522-b60f-d25b31da78f6 · outbound

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

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention High-resolution image synthesis with latent diffusion models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.326050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f6da5a91-7cf5-4c1d-9ce6-1f008427919e · outbound

This paper cites Overcoming data scarcity in biomedical imaging with a founda- tional multi-task model.Nature Computational Science, 4(7):495–509.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Overcoming data scarcity in biomedical imaging with a founda- tional multi-task model.Nature Computational Science, 4(7):495–509

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.309911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0389d1bd-296a-4f1b-8a3b-0bd8613268d7 · outbound

This paper cites Denoising diffusion implicit models.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Denoising diffusion implicit models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.291983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c37cb41b-7d7d-4d63-8c0f-70f95c12e36a · outbound

This paper cites MONAI: An open-source framework for deep learning in healthcare.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention MONAI: An open-source framework for deep learning in healthcare

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:54:28.721435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7f2611d4-484b-440d-8db7-ff69e25114fb · outbound

This paper cites Whole- body MR imaging in the German National Cohort: rationale, design, and technical background.Radiology, 277(1):206–220.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Whole- body MR imaging in the German National Cohort: rationale, design, and technical background.Radiology, 277(1):206–220

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.317983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 95256f49-5049-4115-93f7-1fea6fb56c55 · outbound

This paper cites GANs trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention GANs trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.321574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 28d5cd63-6e02-40bf-8577-f76736ccf37a · outbound

This paper cites How faithful is your synthetic data? Sample-level metrics for evaluating and auditing generative models.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention How faithful is your synthetic data? Sample-level metrics for evaluating and auditing generative models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.288374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 16828850-9bb1-4b48-a105-f6781674485e · outbound

This paper cites Faster Wasserstein distance estimation with the Sinkhorn divergence.Advances in neural information processing systems, 33:2257– 2269.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Faster Wasserstein distance estimation with the Sinkhorn divergence.Advances in neural information processing systems, 33:2257– 2269

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.338701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8c48fb30-b701-4681-a2ee-d95d61952f96 · outbound

This paper cites Synthcity: a benchmark framework for diverse use cases of tabular synthetic data.Adv Neural Inf Process Syst, 36:3173–3188.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Synthcity: a benchmark framework for diverse use cases of tabular synthetic data.Adv Neural Inf Process Syst, 36:3173–3188

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.290257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 111bd916-d0b8-463c-83b7-956554153047 · outbound

This paper cites Wiley series in probability and mathematical statistics.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Wiley series in probability and mathematical statistics

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.323447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 739744f0-658f-400a-8275-779823830174 · outbound

This paper cites Permutation-invariant tabular data synthesis.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Permutation-invariant tabular data synthesis

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.297861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9cf6906a-606a-412a-8c88-4670bb7c938a · outbound

This paper cites Sage publications.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Sage publications

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.286311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 94e3c975-42e8-49e0-9359-c7efb5fe5a01 · outbound

This paper cites Modeling tabular data using conditional GAN.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Modeling tabular data using conditional GAN

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.282432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 55de0443-c3bf-44fc-a35b-807697a56b2c · outbound

This paper cites One transformer fits all distributions in multi-modal diffusion at scale.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention One transformer fits all distributions in multi-modal diffusion at scale

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.284512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ef6bee28-fc6f-48fb-9271-fa6931bca433 · outbound

This paper cites Ye, and Molei Tao.

Multimodal synthesis of MRI and tabular data with diffusion in a joint latent space via cross-attention Ye, and Molei Tao

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:17:05.280648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

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