Paper Citation Record · LEDGER

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation

As of 16 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2504.17613.

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

pith.paper-citation-record.v1
2504.17613 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:41:22.860370Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:34:53.298256Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

verified exact4
verified fuzzy3
unresolved16
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 866af869-e9d7-41a3-a235-2a90dbcbcc15 · outbound

This paper cites Influence Scores at Scale for Efficient Language Data Sampling.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation Influence Scores at Scale for Efficient Language Data Sampling

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.516041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30550fd4-dc28-412f-b697-ac114904d982 · outbound

This paper cites TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:41:23.995691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4fbf9409-c832-4cf9-af08-6547dd08307c · outbound

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

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation TimEHR: Image-based Time Series Generation for Electronic Health Records

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.615681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9795e8e5-d50e-4192-bf26-c89dfde8dc92 · outbound

This paper cites Auto-Encoding Variational Bayes.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation Auto-Encoding Variational Bayes

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.621923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a88c088-9e38-4f66-aa19-8bebe3feb861 · outbound

This paper cites BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.685846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c97148e6-a617-40bf-a699-02f7dbd53e9c · outbound

This paper cites LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.712357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63908502-9817-4505-9138-8e6f07c1ba28 · outbound

This paper cites Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:41:23.413610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5ac2428c-23f7-413e-9c46-bc88d1f12732 · outbound

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

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.761877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af8b0a00-e832-4064-8201-985aec42b3e8 · outbound

This paper cites Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.785791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc994bfd-faf1-4694-8481-b82724b57970 · outbound

This paper cites Time Series Data Augmentation for Deep Learning: A Survey.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation Time Series Data Augmentation for Deep Learning: A Survey

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.806499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16716c6c-ea21-440c-9ef3-e3387986f692 · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.827376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b5064ed-16cd-4a74-bd04-00f67a50475d · outbound

This paper cites For our analysis, we focus on the first 24 hours of hospitalization for each patient, resulting in 20,920 samples.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation For our analysis, we focus on the first 24 hours of hospitalization for each patient, resulting in 20,920 samples

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:41:24.613661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1b58b9aa-faa5-424c-92cb-758e40bdf837 · outbound

This paper cites TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 1977

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.552083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbf124b9-5ec9-4027-b194-fcda7ab5478b · outbound

This paper cites Data are sampled every 5 minutes, resulting in 288 time steps.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation Data are sampled every 5 minutes, resulting in 288 time steps

Reference 2015

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T10:41:24.547213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 348270d7-7700-4714-a9b1-f22a416c1331 · outbound

This paper cites Transitioning from Real to Synthetic data: Quantifying the bias in model.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation Transitioning from Real to Synthetic data: Quantifying the bias in model

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.565297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec92a2c2-fa65-4661-a8a9-b633eb9b03c8 · outbound

This paper cites Vector Quantized Time Series Generation with a Bidirectional Prior Model.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation Vector Quantized Time Series Generation with a Bidirectional Prior Model

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.634843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7d194db-cc1d-413b-8f7c-8a7a68998932 · outbound

This paper cites PULSAR at mediqa-sum 2023: Large language models augmented by synthetic dialogue convert patient dialogues to medical records.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation PULSAR at mediqa-sum 2023: Large language models augmented by synthetic dialogue convert patient dialogues to medical records

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:41:24.691686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 62229482-4dc3-4165-8b43-9e5515b57d0c · outbound

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

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.844388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1e718fc-5a56-482a-87c4-e4d526d36fcd · outbound

This paper cites InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:41:24.277153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 978a70f5-932c-4927-add6-bd283d6c52ca · outbound

This paper cites Classifier-Free Diffusion Guidance.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation Classifier-Free Diffusion Guidance

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.575909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4f02609-33f9-4237-9f1b-686540f42109 · outbound

This paper cites Generating Multi-label Discrete Patient Records using Generative Adversarial Networks.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.537268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c412276-0760-4d3b-a611-6c67b8c63e48 · outbound

This paper cites Team: PULSAR at probsum 2023: PULSAR: pre-training with extracted healthcare terms for summarising patients’ problems and data augmentation with black-box large language models.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation Team: PULSAR at probsum 2023: PULSAR: pre-training with extracted healthcare terms for summarising patients’ problems and data augmentation with black-box large language models

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:41:24.760102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f74fbc17-1479-4f79-84e5-b09ee3a17b01 · outbound

This paper cites Controllable financial market generation with diffusion guided meta agent.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation Controllable financial market generation with diffusion guided meta agent

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.599617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c920c6bf-81a6-4396-b160-ead14ab62a80 · outbound

This paper cites BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis

Reference 2025

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:41:23.578104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 2e08bb7d-4050-4874-a3cc-3fc4d3ca2873 · inbound

Diff-MN: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations cites this paper.

Diff-MN: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T09:34:53.298256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.