Paper Citation Record · LEDGER

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers

As of 12 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 2 inbound Pith citation observations for arXiv:2411.13428.

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

pith.paper-citation-record.v1
2411.13428 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:30:25.842792Z

measured 66 of 66 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:41:47.548035Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:42:45.982543Z

Reference resolution

64 of 64 outbound references displayed

verified exact8
verified fuzzy21
unresolved32
parse uncertain0
malformed identifier3
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cbeeca62-3af6-43c3-a5f2-42d81bbc501a · outbound

This paper cites The Future of Digital Health with Federated Learning.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers The Future of Digital Health with Federated Learning

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-12T16:30:26.485723Z

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 47023496-1f7f-49d7-9778-5ec6d381b2e9 · outbound

This paper cites Privacy-Preserving Artificial Intelligence in Healthcare: Techniques and Applications.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Privacy-Preserving Artificial Intelligence in Healthcare: Techniques and Applications

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.666771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b2627a8-4bb4-4157-be28-425cb2b75e85 · outbound

This paper cites A Review of Challenges and Opportunities in Machine Learning for Health.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers A Review of Challenges and Opportunities in Machine Learning for Health

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.684447Z

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 d6e363d9-25c1-4eb6-a06f-b824ae6a7bac · outbound

This paper cites Informative Missingness: What Can We Learn from Patterns in Miss- ing Laboratory Data in the Electronic Health Record?.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Informative Missingness: What Can We Learn from Patterns in Miss- ing Laboratory Data in the Electronic Health Record?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.673109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1acf2ea-9801-471f-9899-7cfd4e1e74da · outbound

This paper cites Generating Multi-label Discrete Patient Records Using Generative Adver- sarial Networks.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Generating Multi-label Discrete Patient Records Using Generative Adver- sarial Networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.676629Z

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 6ba5d048-d69f-41dd-8f46-27fbbe6ba1a0 · outbound

This paper cites CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.678961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99ae09e6-864f-4cf7-a527-17dc33ad2f11 · outbound

This paper cites EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-12T16:30:26.059022Z

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 97434daf-f493-45d5-b664-4ee1639a447d · outbound

This paper cites PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-12T16:30:26.047951Z

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 7d80e5bd-4f5c-4180-9c04-8f0792f2c368 · outbound

This paper cites Towards Generating Real-World Time Series Data.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Towards Generating Real-World Time Series Data

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.688825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bfadbc5-84ee-4ea0-a630-73b36abd28aa · outbound

This paper cites Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-12T16:30:26.036205Z

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 ccc102ee-49cf-4c52-aadf-c1f6a831cc1f · outbound

This paper cites TimEHR: Image-based Time Series Generation for Electronic Health Records.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers TimEHR: Image-based Time Series Generation for Electronic Health Records

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.694508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff16302-6f72-417d-b860-740c2b62c8c3 · outbound

This paper cites Synthesize High-Dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Synthesize High-Dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model

Reference 12

Resolution: malformed identifier; no resolver link, observed 2026-08-12T16:30:25.697679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ad1cec4-e9c0-4e8b-b6d0-41f47d457cb2 · outbound

This paper cites BEHRT: Transformer for Electronic Health Records.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers BEHRT: Transformer for Electronic Health Records

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-12T16:30:26.012295Z

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 8e929acf-bf22-4d0d-b343-250a15ee887d · outbound

This paper cites ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.703043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2b960bc-091e-4eca-b1e4-b86f33698e26 · outbound

This paper cites Towards Expert-Level Medical Question Answering with Large Language Models.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Towards Expert-Level Medical Question Answering with Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.705553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6fe495e-9ab1-4408-bfa4-cb0af1b78994 · outbound

This paper cites MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.708428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdc30e4d-530d-48b7-8936-89eb502ff179 · outbound

This paper cites MIMIC-III, a Freely Accessible Critical Care Database.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers MIMIC-III, a Freely Accessible Critical Care Database

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.711058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6fa4c04-747d-4993-9361-8c73d3e813d5 · outbound

This paper cites Synthesizing Electronic Health Records Using Improved Genera- tive Adversarial Networks.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Synthesizing Electronic Health Records Using Improved Genera- tive Adversarial Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.713465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ed46dd6-99a5-4265-b454-9e1958c5bbf1 · outbound

This paper cites SynTEG: A Framework for Temporal Structured Electronic Health Data Simulation.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers SynTEG: A Framework for Temporal Structured Electronic Health Data Simulation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.715899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59bcda65-0a5c-4d33-a026-f2cf5e3d5f12 · outbound

This paper cites Multi-Label Clinical Time-Series Generation via Conditional GAN.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Multi-Label Clinical Time-Series Generation via Conditional GAN

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.718935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9cfccb1-edf4-4861-9644-e06d1ef7f458 · outbound

This paper cites Synthetic Electronic Health Records Generated with Variational Graph Autoencoders.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Synthetic Electronic Health Records Generated with Variational Graph Autoencoders

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.721554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bb96524-9219-4c20-b57d-c53dbb74c2dc · outbound

This paper cites MedDiff: Generating Electronic Health Records Using Accelerated Denoising Diffusion Model.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers MedDiff: Generating Electronic Health Records Using Accelerated Denoising Diffusion Model

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.669242Z

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 424012c9-0277-410b-b9ab-77111f8d0242 · outbound

This paper cites Synthesizing Mixed-type Electronic Health Records using Diffusion Models.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Synthesizing Mixed-type Electronic Health Records using Diffusion Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.727181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 753fa515-6068-4eb8-803b-4447adcd00ef · outbound

This paper cites EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.730193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92d6ed3b-ec45-4212-a5cc-5dbf0d31b367 · outbound

This paper cites Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-12T16:30:25.947169Z

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 583ee338-350c-456f-9796-ced4864725fa · outbound

This paper cites CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.736226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a478743-e890-4129-8f1e-0633e6b92d0e · outbound

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

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Real-Valued (Medical) Time Series Generation with Recurrent Conditional GANs

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.661884Z

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 37cf9fa1-d6f7-4a67-aeb6-bae4ecff245c · outbound

This paper cites Time-Series Generative Adversarial Networks.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Time-Series Generative Adversarial Networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.653552Z

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 6b15add4-7c88-43bd-920b-4bba898219ea · outbound

This paper cites Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Reference 29

Resolution: malformed identifier; no resolver link, observed 2026-08-12T16:30:25.744995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52ca7365-ebbf-464f-a06f-28246525e079 · outbound

This paper cites Generating Synthetic Mixed-Type Longitudinal Electronic Health Records for Artificial Intelligent Applications.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Generating Synthetic Mixed-Type Longitudinal Electronic Health Records for Artificial Intelligent Applications

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.747792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7c1ca70-4be1-49f8-856c-e9299731df8f · outbound

This paper cites EHR-Safe: Generating High-Fidelity and Privacy-Preserving Synthetic Electronic Health Records.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers EHR-Safe: Generating High-Fidelity and Privacy-Preserving Synthetic Electronic Health Records

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.645331Z

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 188fc068-89d8-4aac-8460-0f3257ef6cbe · outbound

This paper cites Diffusion-TS: Interpretable Diffusion for General Time Series Generation.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.637093Z

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 c66173b5-a2fe-47d7-bf45-cc279011c48d · outbound

This paper cites TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.758737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98ce6b92-a5d6-469b-bf7a-a109c8034efb · outbound

This paper cites TimeAutoDiff: Combining Autoencoder and Diffusion Model for Time Series Tabular Data Synthesizing.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers TimeAutoDiff: Combining Autoencoder and Diffusion Model for Time Series Tabular Data Synthesizing

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.761925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e68d9410-c0aa-47ae-bf4f-6956ff08e77a · outbound

This paper cites TS-Diffusion: Generating Highly Complex Time Series with Diffusion Models.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers TS-Diffusion: Generating Highly Complex Time Series with Diffusion Models

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-12T16:30:25.919914Z

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 93902596-82f6-407b-b173-ec243d68433f · outbound

This paper cites LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.767873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 393cc768-8313-494b-acea-62ac7fe24c52 · outbound

This paper cites Language Models are Realistic Tabular Data Generators.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Language Models are Realistic Tabular Data Generators

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.770836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1751bc62-c71a-4771-95e8-968dd2864f02 · outbound

This paper cites Leveraging VQ-V AE Tokenization for Autoregressive Modeling of Medical Time Series.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Leveraging VQ-V AE Tokenization for Autoregressive Modeling of Medical Time Series

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.773486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 479433fb-4ee3-4843-abba-ab77d9d9528b · outbound

This paper cites Chronos: Learning the Language of Time Series.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Chronos: Learning the Language of Time Series

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.775717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3372579-d978-48f7-8a89-39903bacb527 · outbound

This paper cites Synthetic Time Series Generation for Decision Intelli- gence Using Large Language Models.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Synthetic Time Series Generation for Decision Intelli- gence Using Large Language Models

Reference 40

Resolution: verified exact; doi, observed 2026-08-12T16:30:25.895072Z

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 14f741ec-bdc3-4a21-9feb-83c4902dc1b4 · outbound

This paper cites Language Models Are Unsupervised Multitask Learners.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Language Models Are Unsupervised Multitask Learners

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.628660Z

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 7ef73a24-cb05-4061-a70b-f2c6c1070950 · outbound

This paper cites Multitask learning and benchmarking with clinical time series data.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Multitask learning and benchmarking with clinical time series data

Reference 42

Resolution: malformed identifier; no resolver link, observed 2026-08-12T16:30:25.782784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17227499-9659-45d2-b614-193f75cf1e01 · outbound

This paper cites Reliable Fidelity and Diversity Metrics for Generative Models.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Reliable Fidelity and Diversity Metrics for Generative Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.785577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e26c20e3-6068-4012-9ef9-9b16c3d1eaa1 · outbound

This paper cites LightGBM: A Highly Efficient Gradient Boosting Decision Tree.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers LightGBM: A Highly Efficient Gradient Boosting Decision Tree

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.620538Z

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 e62794c5-f908-4980-9bdb-c59d79c33037 · outbound

This paper cites Unified Training of Universal Time Series Forecasting Transformers.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Unified Training of Universal Time Series Forecasting Transformers

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.612141Z

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 0e3b4ca1-3cf3-48b5-8fbb-4c405b31c020 · outbound

This paper cites Timer: Generative Pre-trained Transformers Are Large Time Series Models.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Timer: Generative Pre-trained Transformers Are Large Time Series Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.797431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b2324b0-fb36-4e9c-84b7-cc328d03fca1 · outbound

This paper cites Large Language Models Encode Clinical Knowledge.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Large Language Models Encode Clinical Knowledge

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.800273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8873c8a-ac22-44dd-b8c1-713933301334 · outbound

This paper cites We have deeply evaluated the quality of synthetic data in terms of utility, fidelity and privacy and compared it with the state-of-the-art models.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers We have deeply evaluated the quality of synthetic data in terms of utility, fidelity and privacy and compared it with the state-of-the-art models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.603846Z

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 a06a748b-325d-4fa7-be8b-ac36d0133dc2 · outbound

This paper cites Limitations.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Limitations

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.595625Z

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 8838e7fb-e707-4875-8ec0-93267f22d2e3 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include theoretical results.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Guidelines: • The answer NA means that the paper does not include theoretical results

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.587321Z

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 be163e31-7e46-493f-975a-5ec812d72e34 · outbound

This paper cites The model architecture and training details are provided in the main paper.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers The model architecture and training details are provided in the main paper

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.579242Z

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 201a3b09-f121-4ac8-9da0-b1c86f401586 · outbound

This paper cites We will release the code and preprocessing pipeline upon acceptance.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers We will release the code and preprocessing pipeline upon acceptance

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.570657Z

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 4b97d57b-e4fd-48e6-a7e1-e94232206344 · outbound

This paper cites The labels for downstream tasks are also selected using the same pipeline.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers The labels for downstream tasks are also selected using the same pipeline

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.561415Z

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 ec2edf7e-48b2-4844-8ae8-3c3947544df9 · outbound

This paper cites an unresolved cited work.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-12T16:30:26.552724Z

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 d7f6fd30-a9bd-4a4b-843f-110c434c4c10 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Guidelines: • The answer NA means that the paper does not include experiments

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.544376Z

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 31e925ea-c5d6-46d3-818f-01f04195feef · outbound

This paper cites We have tried our best to preserve the anonymity.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers We have tried our best to preserve the anonymity

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.536078Z

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 7cc66976-8df0-42d7-b534-f0dd698c9678 · outbound

This paper cites an unresolved cited work.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-12T16:30:26.527579Z

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 6929cccb-7168-46fe-94b6-2e88b9e6c9eb · outbound

This paper cites an unresolved cited work.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.832710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01a3f46b-e251-4b7b-8ed7-8aa621766ea4 · outbound

This paper cites • The authors should cite the original paper that produced the code package or dataset.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers • The authors should cite the original paper that produced the code package or dataset

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.515549Z

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 49f2c252-6794-421b-9fc4-008a7e354cd2 · outbound

This paper cites • Researchers should communicate the details of the dataset/code/model as part of their submissions via structured templates.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers • Researchers should communicate the details of the dataset/code/model as part of their submissions via structured templates

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.507938Z

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 0c90cb18-f75a-45d4-bb76-84393d0d16f7 · outbound

This paper cites an unresolved cited work.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Unresolved cited work

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.840482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4be79243-1a60-4816-ad68-04fcbac41817 · outbound

This paper cites • Depending on the country in which research is conducted, IRB approval (or equivalent) may be required for any human subjects research.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers • Depending on the country in which research is conducted, IRB approval (or equivalent) may be required for any human subjects research

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:30:26.495385Z

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 a7026e30-41b5-44d7-95aa-ff5dff7782a9 · outbound

This paper cites Unified Training of Universal Time Series Forecasting Transformers.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Unified Training of Universal Time Series Forecasting Transformers

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.794271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cb964f2-2d68-4ce3-b672-40c41bf75984 · outbound

This paper cites an unresolved cited work.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers Unresolved cited work

Reference 6352

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:25.753292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e3ee9613-971c-443e-936f-d12a9871ae2c · inbound

TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data cites this paper.

TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T17:41:47.548035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2e082c9-d183-444e-b927-8621f15ab782 · inbound

Privacy-Preserving Tabular Synthetic Data Generation Using TabularARGN cites this paper.

Privacy-Preserving Tabular Synthetic Data Generation Using TabularARGN SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:42:45.987069Z

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.