Paper Citation Record · LEDGER

Generating Realistic Multi-Beat ECG Signals

As of 18 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2505.18189.

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

pith.paper-citation-record.v1
2505.18189 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:24:07.713884Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

31 of 31 outbound references displayed

verified exact1
verified fuzzy23
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ae401168-72f4-4f93-a476-8708ea426be4 · outbound

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

Generating Realistic Multi-Beat ECG Signals BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:07.619352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe29a5cb-5c75-49b8-ab89-de00bf430bc2 · outbound

This paper cites Compatibility of a security policy for a cloud-based healthcare system with the EU general data protection regulation (GDPR),.

Generating Realistic Multi-Beat ECG Signals Compatibility of a security policy for a cloud-based healthcare system with the EU general data protection regulation (GDPR),

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:08.023932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7420870c-12a6-4eda-bd7f-673932713b83 · 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,.

Generating Realistic Multi-Beat ECG Signals 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 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:08.014307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a152759a-4700-4c1d-adcf-61b6190ec3a6 · outbound

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

Generating Realistic Multi-Beat ECG Signals PULSAR at mediqa-sum 2023: Large language models augmented by synthetic dialogue convert patient dialogues to medical records,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:08.004264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 79156353-73f8-4ed4-bfae-5e2664657142 · outbound

This paper cites Repurposing Foundation Model for Generalizable Medical Time Series Classification.

Generating Realistic Multi-Beat ECG Signals Repurposing Foundation Model for Generalizable Medical Time Series Classification

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:07.634805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf04ea79-bb8b-4b95-84ef-bac24cce0d63 · outbound

This paper cites Sleepfm: Multi-modal represen- tation learning for sleep across brain activity, ECG and respiratory signals,.

Generating Realistic Multi-Beat ECG Signals Sleepfm: Multi-modal represen- tation learning for sleep across brain activity, ECG and respiratory signals,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.994046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 70348bef-686a-451b-88eb-af39213781f1 · outbound

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

Generating Realistic Multi-Beat ECG Signals LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:24:07.790612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 76c1a193-ffd2-40ad-8d90-75fa6d387b95 · outbound

This paper cites AI in health- care: Time-series forecasting using statistical, neural, and ensemble architectures,.

Generating Realistic Multi-Beat ECG Signals AI in health- care: Time-series forecasting using statistical, neural, and ensemble architectures,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.984866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 83bebbe9-cf0b-4443-a321-28538421ee16 · outbound

This paper cites Real-valued (medical) time series generation with recurrent condi- tional GANs,.

Generating Realistic Multi-Beat ECG Signals Real-valued (medical) time series generation with recurrent condi- tional GANs,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.976370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c6943ed-47b9-4366-9890-38d60652e539 · outbound

This paper cites Time-series GAN: Generative time-series modeling,.

Generating Realistic Multi-Beat ECG Signals Time-series GAN: Generative time-series modeling,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.968305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a9676c36-8c18-4b9a-a4b4-19f9e39f0604 · outbound

This paper cites Synthesis 2DOI: https://doi.org/10.14469/hpc/2232 of realistic ECG using generative adversarial networks,.

Generating Realistic Multi-Beat ECG Signals Synthesis 2DOI: https://doi.org/10.14469/hpc/2232 of realistic ECG using generative adversarial networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:07.654656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bc215dc-b5dc-4ca8-8d9f-30164fbc08ec · outbound

This paper cites Electro- cardiogram generation with a bidirectional LSTM-CNN generative adversarial network,.

Generating Realistic Multi-Beat ECG Signals Electro- cardiogram generation with a bidirectional LSTM-CNN generative adversarial network,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.960470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 553aa853-f469-4fa3-baa0-bd1b0704eab4 · outbound

This paper cites Generative adversarial networks in electrocardiogram synthesis: Re- cent developments and challenges,.

Generating Realistic Multi-Beat ECG Signals Generative adversarial networks in electrocardiogram synthesis: Re- cent developments and challenges,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.951584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 735fd030-5054-46e6-821e-2504a9d7ba15 · outbound

This paper cites Generating electrocardiogram signals by deep learning,.

Generating Realistic Multi-Beat ECG Signals Generating electrocardiogram signals by deep learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.942689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aee9ef4a-1699-463d-9224-c40ae2913847 · outbound

This paper cites Variational autoencoder–based neural electrocardiogram synthesis trained by FEM-based heart simulator,.

Generating Realistic Multi-Beat ECG Signals Variational autoencoder–based neural electrocardiogram synthesis trained by FEM-based heart simulator,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.933422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f4b9a2d2-b07f-4bcf-a97d-826dd4764153 · outbound

This paper cites TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers.

Generating Realistic Multi-Beat ECG Signals TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:07.670437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e921d9a4-c23c-4afc-a27c-a4281442df42 · outbound

This paper cites EHRDiff : Exploring realistic EHR synthesis with diffusion models,.

Generating Realistic Multi-Beat ECG Signals EHRDiff : Exploring realistic EHR synthesis with diffusion models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.923968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b7b249fe-7a4e-40b2-824f-bd33f48f2c48 · outbound

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

Generating Realistic Multi-Beat ECG Signals MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:07.676522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e01321c-2f3a-45f8-a1a3-baea7b9465f8 · outbound

This paper cites Synthetic ECG signal genera- tion using probabilistic diffusion models,.

Generating Realistic Multi-Beat ECG Signals Synthetic ECG signal genera- tion using probabilistic diffusion models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.914861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 17b54989-8080-41c9-94b0-8b6233217ee1 · outbound

This paper cites Diffecg: A versatile probabilistic diffusion model for ECG signals synthesis,.

Generating Realistic Multi-Beat ECG Signals Diffecg: A versatile probabilistic diffusion model for ECG signals synthesis,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.905179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5a1b9575-fef6-4d6a-a619-dc8841c88075 · outbound

This paper cites Ecg synthesis via diffusion-based state space augmented transformer,.

Generating Realistic Multi-Beat ECG Signals Ecg synthesis via diffusion-based state space augmented transformer,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.895338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation db64eda2-1b45-41ae-9b8d-a5512bdcd80e · outbound

This paper cites TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series.

Generating Realistic Multi-Beat ECG Signals TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:07.688022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e79cd95d-e835-4075-9edd-10f0eb003cae · outbound

This paper cites Generative adversarial nets,.

Generating Realistic Multi-Beat ECG Signals Generative adversarial nets,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.885877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3e457781-b234-4d24-a197-1814a5f39c9e · outbound

This paper cites Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data.

Generating Realistic Multi-Beat ECG Signals Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:07.693168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0be2bef0-caa2-49e9-a247-92f43aa1b1c1 · outbound

This paper cites NeuroKit2: A python toolbox for neurophysiological signal processing,.

Generating Realistic Multi-Beat ECG Signals NeuroKit2: A python toolbox for neurophysiological signal processing,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.877149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 56b4a48f-e07d-40ec-a893-69780403272e · outbound

This paper cites Improving explainability of deep neural network- based electrocardiogram interpretation using variational auto-encoders,.

Generating Realistic Multi-Beat ECG Signals Improving explainability of deep neural network- based electrocardiogram interpretation using variational auto-encoders,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.868302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b543ad56-6b7c-4b99-9636-55ab8c269bea · outbound

This paper cites Leveraging an ECG beat diffusion model for morphological reconstruction from indirect signals,.

Generating Realistic Multi-Beat ECG Signals Leveraging an ECG beat diffusion model for morphological reconstruction from indirect signals,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.858010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6c8f56ba-6b42-408a-be3f-7c6cb4ac601a · outbound

This paper cites Transfer function gain between heart period and QT interval vari- ability decreases at a 10-year follow-up in half-marathon runners,.

Generating Realistic Multi-Beat ECG Signals Transfer function gain between heart period and QT interval vari- ability decreases at a 10-year follow-up in half-marathon runners,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.847897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8708bf6a-3b45-434f-96c6-dc069d4f633a · outbound

This paper cites Accurate predictions on small data with a tabular foundation model,.

Generating Realistic Multi-Beat ECG Signals Accurate predictions on small data with a tabular foundation model,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.837821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5902ceaa-d893-4836-9e34-92d74968e2a1 · outbound

This paper cites Vector quantized time series generation with a bidirectional prior model,.

Generating Realistic Multi-Beat ECG Signals Vector quantized time series generation with a bidirectional prior model,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.827829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3963f447-698b-4853-9be9-f1d71a9b096a · outbound

This paper cites Available: https://arxiv.org/abs/2303.

Generating Realistic Multi-Beat ECG Signals Available: https://arxiv.org/abs/2303

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:07.817942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.