Paper Citation Record · LEDGER

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis

As of 19 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2509.22352.

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

pith.paper-citation-record.v1
2509.22352 v3

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:48:26.591510Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T06:56:11.602673Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T07:01:12.006600Z

Reference resolution

63 of 63 outbound references displayed

verified exact1
verified fuzzy45
unresolved17
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c69f474b-8dc9-465f-919e-1e0194939e52 · outbound

This paper cites Improving the generation and evaluation of synthetic data for downstream medical causal inference.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Improving the generation and evaluation of synthetic data for downstream medical causal inference

Reference 1

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Observation 8146fe2c-d347-4914-918a-5f58a9f41a5b · outbound

This paper cites an unresolved cited work.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Unresolved cited work

Reference 2

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Observation 189b0cf2-3c24-4136-9f0e-ba487e3684d8 · outbound

This paper cites Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg

Reference 3

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Observation bccf032f-2ba9-4a23-b473-0cc9ce071dde · outbound

This paper cites an unresolved cited work.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Unresolved cited work

Reference 4

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Observation 7bbb93be-cbb7-4d1a-aebb-e4eaae1822d5 · outbound

This paper cites A general machine learning framework for survival analysis.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis A general machine learning framework for survival analysis

Reference 5

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Observation 9d2aed0f-4ad1-4717-b441-d20a09fdca22 · outbound

This paper cites Generating survival times to simulate cox proportional hazards models.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Generating survival times to simulate cox proportional hazards models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:29.376153Z

Source-reported events for the cited work

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Observation 57e868ee-7b55-4f01-a69e-a5b04d1feabd · outbound

This paper cites Statistics review 12: Survival analysis.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Statistics review 12: Survival analysis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:29.234549Z

Source-reported events for the cited work

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Observation 7f65302a-3600-4bbd-957d-3d26a58adefd · outbound

This paper cites an unresolved cited work.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Unresolved cited work

Reference 8

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Observation 5e915dac-caa0-41d0-aad4-95c59f2b3646 · outbound

This paper cites An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 9

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Observation ecc45967-e068-4f10-85ea-9288186713ff · outbound

This paper cites XGBoost : A scalable tree boosting system.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis XGBoost : A scalable tree boosting system

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:29.145673Z

Source-reported events for the cited work

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Observation e0ad5ce4-9bed-4c65-ba33-371718b0e437 · outbound

This paper cites an unresolved cited work.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation baf47608-e2a0-4667-8efc-86b6ecaf73ca · outbound

This paper cites Practical lessons from generating synthetic healthcare data with bayesian networks.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Practical lessons from generating synthetic healthcare data with bayesian networks

Reference 12

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Observation 2ea03b27-153c-4ff7-94eb-07e759c7e04d · outbound

This paper cites Diffusion models beat GANs on image synthesis.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Diffusion models beat GANs on image synthesis

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:29.009660Z

Source-reported events for the cited work

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Observation 0cd9865b-82ee-490c-8b2d-de928423f473 · outbound

This paper cites Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

Reference 14

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Observation 9e74e0b5-bcae-4f32-856d-6ffd4d93f72a · outbound

This paper cites Fay, Erica H.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Fay, Erica H

Reference 15

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Source-reported events for the cited work

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Observation 768737e7-5477-4707-8f51-c25ab6bd5617 · outbound

This paper cites Orthogonal survival learners for estimating heterogeneous treatment effects from time-to-event data.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Orthogonal survival learners for estimating heterogeneous treatment effects from time-to-event data

Reference 16

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Source-reported events for the cited work

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Observation 3bc45275-f689-43ee-86c3-00569d02f79b · outbound

This paper cites an unresolved cited work.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Unresolved cited work

Reference 17

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Source-reported events for the cited work

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Observation b399a65c-63a8-4ae9-bf99-f76745fc77e8 · outbound

This paper cites Testing generated distributions in GANs to penalize mode collapse.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Testing generated distributions in GANs to penalize mode collapse

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:28.661890Z

Source-reported events for the cited work

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Observation 70c722d1-d964-4a8e-863d-843a4ef79cfd · outbound

This paper cites Goodfellow, Jean Pouget-Abadie , Mehdi Mirza, Bing Xu, David Warde-Farley , Sherjil Ozair, Aaron Courville, and Yoshua Bengio.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Goodfellow, Jean Pouget-Abadie , Mehdi Mirza, Bing Xu, David Warde-Farley , Sherjil Ozair, Aaron Courville, and Yoshua Bengio

Reference 19

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Observation 17caf0b4-cee7-4843-8de4-e2b3aa777ba4 · outbound

This paper cites Hammer, Kathleen E.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Hammer, Kathleen E

Reference 20

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Observation e0acb6f9-9656-4a75-8da4-903163a0af43 · outbound

This paper cites Harrell, Jr, Robert M.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Harrell, Jr, Robert M

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:28.475044Z

Source-reported events for the cited work

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Observation 00ddd13e-914a-4be2-877e-ffc4afc54e68 · outbound

This paper cites Denoising diffusion probabilistic models.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Denoising diffusion probabilistic models

Reference 22

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Source-reported events for the cited work

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Observation 9ab08808-daf4-4a0b-9787-b719076f187f · outbound

This paper cites Kogalur, Eugene H.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Kogalur, Eugene H

Reference 23

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Source-reported events for the cited work

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Observation bb2f72a4-c0b9-44f2-bf10-4b70a4d3fa7b · outbound

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SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 79e4dbba-1432-48b3-937d-4e544b07020e · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Elucidating the design space of diffusion-based generative models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:28.240888Z

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Observation 168691e5-337b-48f7-8e05-2808cbcddf0b · outbound

This paper cites Katzman, Uri Shaham, Alexander Cloninger, Jonathan Bates, Tingting Jiang, and Yuval Kluger.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Katzman, Uri Shaham, Alexander Cloninger, Jonathan Bates, Tingting Jiang, and Yuval Kluger

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:28.226344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5150d84-fea0-4b8c-a6c3-0c609c0513e4 · outbound

This paper cites Restricted mean survival time as a measure to interpret clinical trial results.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Restricted mean survival time as a measure to interpret clinical trial results

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:28.209144Z

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Observation e04efaed-0a8b-4c4b-bcc7-c6e44c38d655 · outbound

This paper cites Kingma and Max Welling.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Kingma and Max Welling

Reference 28

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Source-reported events for the cited work

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Observation dc0873b0-0121-497f-9e3e-59c83f79f143 · outbound

This paper cites an unresolved cited work.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:48:28.173323Z

Source-reported events for the cited work

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Observation 1363f527-2a02-4fd5-b55c-142a41efa9ff · outbound

This paper cites DeepPAMM : Deep piecewise exponential additive mixed models for complex hazard structures in survival analysis.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis DeepPAMM : Deep piecewise exponential additive mixed models for complex hazard structures in survival analysis

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:28.151059Z

Source-reported events for the cited work

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Observation 0b7c833b-63ea-4ef9-b365-f00be3291416 · outbound

This paper cites DeepHit : A deep learning approach to survival analysis with competing risks.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis DeepHit : A deep learning approach to survival analysis with competing risks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:28.021306Z

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Observation b7dfb957-1227-4e56-85bd-4113b5c1dee2 · outbound

This paper cites DivideMix : Learning with noisy labels as semi-supervised learning.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis DivideMix : Learning with noisy labels as semi-supervised learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:27.952713Z

Source-reported events for the cited work

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Observation fb4aa0bb-b213-4dd7-acbb-51403a9e8634 · outbound

This paper cites DiffPO : A causal diffusion model for learning distributions of potential outcomes.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis DiffPO : A causal diffusion model for learning distributions of potential outcomes

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:27.932120Z

Source-reported events for the cited work

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Observation bcd309b2-5171-4466-86dc-90f54a550e71 · outbound

This paper cites A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:27.917625Z

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Observation 03ab58e7-1bbc-460b-a79f-e6a9f2ae3aaa · outbound

This paper cites Survival Analysis: A Practical Approach.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Survival Analysis: A Practical Approach

Reference 35

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Source-reported events for the cited work

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Observation 8d0a0f77-2554-41ff-8577-05629eb9290d · outbound

This paper cites Deep survival analysis: Nonparametrics and missingness.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Deep survival analysis: Nonparametrics and missingness

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:27.754401Z

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Observation 01290c6b-3488-49ef-9dd4-a0c6fe629718 · outbound

This paper cites SurvivalGAN : Generating time-to-event data for survival analysis.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis SurvivalGAN : Generating time-to-event data for survival analysis

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:27.650641Z

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Observation 984e2c84-5118-4d2e-ad05-a8edd5fe1759 · outbound

This paper cites Normalizing flows for probabilistic modeling and inference.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Normalizing flows for probabilistic modeling and inference

Reference 38

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Observation 8e69993a-9bf6-4a11-8ec2-38df0404e471 · outbound

This paper cites Rueda, Hans-Kristian Moen Vollan, Elena Provenzano, Helen A.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Rueda, Hans-Kristian Moen Vollan, Elena Provenzano, Helen A

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:27.533496Z

Source-reported events for the cited work

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Observation 72825e6f-da99-48a5-8b45-ad0399d0c632 · outbound

This paper cites The Effectiveness of Data Augmentation in Image Classification using Deep Learning.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis The Effectiveness of Data Augmentation in Image Classification using Deep Learning

Reference 40

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Observation bee1b9fc-fcee-422a-8771-84888f5b6652 · outbound

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SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Deep survival analysis

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:27.380468Z

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Observation 5924710a-ca67-44d2-85a1-55a7b1b36dbb · outbound

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SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:48:27.306248Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a5d18ef6-6c37-4ba9-ae2d-808cdc0a5412 · outbound

This paper cites Chiu, Alexander M.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Chiu, Alexander M

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:27.286031Z

Source-reported events for the cited work

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Observation 9b24deeb-1d8c-4298-b937-004999d3de24 · outbound

This paper cites Generative adversarial networks ( GANs ): Challenges , solutions, and future directions.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Generative adversarial networks ( GANs ): Challenges , solutions, and future directions

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:27.267086Z

Source-reported events for the cited work

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Observation 8293fcb4-02c6-4472-bd8f-847c5dbd7728 · outbound

This paper cites Randomized 2 x 2 trial evaluating hormonal treatment and the duration of chemotherapy in node-positive breast cancer patients.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Randomized 2 x 2 trial evaluating hormonal treatment and the duration of chemotherapy in node-positive breast cancer patients

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:27.253004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 42ed6445-25e2-4086-9342-7d575e5bf2a6 · outbound

This paper cites Cancer care treatment attrition in adults: Measurement approaches and inequities in patient dropout rates -- A rapid review.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Cancer care treatment attrition in adults: Measurement approaches and inequities in patient dropout rates -- A rapid review

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:27.239147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 73e923a5-e12a-4492-9b5f-bf9036c5fec4 · outbound

This paper cites Simplified and generalized masked diffusion for discrete data.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Simplified and generalized masked diffusion for discrete data

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:27.221428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 389425a9-e95f-4efd-8223-881cb88ee967 · outbound

This paper cites TabDiff : A mixed-type diffusion model for tabular data generation.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis TabDiff : A mixed-type diffusion model for tabular data generation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:27.111721Z

Source-reported events for the cited work

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Observation 130e264a-9688-4340-9cd0-65d4ec460f7b · outbound

This paper cites A Comprehensive Survey of Synthetic Tabular Data Generation.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis A Comprehensive Survey of Synthetic Tabular Data Generation

Reference 49

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Source-reported events for the cited work

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Observation 8e973554-be26-42f7-afb7-c9248be967ac · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Deep unsupervised learning using nonequilibrium thermodynamics

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:27.034609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e61873b0-fc5e-4b7e-9bf6-cb3cd1d05928 · outbound

This paper cites Ladder variational autoencoders.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Ladder variational autoencoders

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:26.993235Z

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Observation 0fccaa9d-ad3b-4adb-af56-785ec83028e3 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Generative modeling by estimating gradients of the data distribution

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:26.977216Z

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Observation 11b65e57-1675-4e9e-a267-795eddb9fed8 · outbound

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

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Score-based generative modeling through stochastic differential equations

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:26.955358Z

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Observation 72db1140-fa52-4315-837d-6e90c8b20f3c · outbound

This paper cites DECAF : Generating fair synthetic data using causally-aware generative networks.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis DECAF : Generating fair synthetic data using causally-aware generative networks

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:26.938091Z

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Observation c6c154d9-4ca7-453d-b8b9-039cd51761cd · outbound

This paper cites A statistical distribution function of wide applicability.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis A statistical distribution function of wide applicability

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:26.922488Z

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Observation 60b1b818-f0b7-4ac5-832d-75b7d0c18a88 · outbound

This paper cites Deep learning for survival analysis: A review.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Deep learning for survival analysis: A review

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:26.907989Z

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Observation 2aaf4091-86ea-499e-859b-f53f2574ef85 · outbound

This paper cites Modeling tabular data using conditional GAN.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Modeling tabular data using conditional GAN

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:26.894943Z

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Observation 8646ca93-887f-4fc3-b61e-148f71060d14 · outbound

This paper cites Mooney, and Bradley A.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Mooney, and Bradley A

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:26.881847Z

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Observation 72eafeb5-ad36-4aab-a1ab-139bf24ac35f · outbound

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

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Mixed-type tabular data synthesis with score-based diffusion in latent space

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:26.866515Z

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Observation 7744ad77-55f7-4404-a6a0-2a4bf1c96c07 · outbound

This paper cites Deep Generative Survival Analysis: Nonparametric Estimation of Conditional Survival Function.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Deep Generative Survival Analysis: Nonparametric Estimation of Conditional Survival Function

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:48:26.724750Z

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Observation 9f8531ff-839f-48fd-9287-07200ef6e8ce · outbound

This paper cites @esa (Ref.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis @esa (Ref

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T15:48:26.580968Z

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Observation 364da9ff-f066-43a3-9b79-755f4103d336 · outbound

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SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T15:48:26.586725Z

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Observation 3e70992b-4a62-4386-b885-c4fa32ce1dfe · outbound

This paper cites Survival metrics over different datasets (reported: mean s.d.

SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis Survival metrics over different datasets (reported: mean s.d

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T15:48:26.591510Z

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Pith citing papers

Observation 8554e102-1fc5-4c07-9094-54f387b5b600 · inbound

SDPM: Survival Diffusion Probabilistic Model for Continuous-Time Survival Analysis cites this paper.

SDPM: Survival Diffusion Probabilistic Model for Continuous-Time Survival Analysis SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-27T02:19:50.692897Z

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