Paper Citation Record · LEDGER

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study

As of 12 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2412.16207.

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

pith.paper-citation-record.v1
2412.16207 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:26:31.633269Z

measured 17 of 17 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 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

17 of 17 outbound references displayed

verified exact0
verified fuzzy9
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7867629-1fd3-4781-a237-42de85e77d63 · outbound

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

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T13:26:31.574084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dab1816-3331-48c7-87be-b3ec5e554fab · outbound

This paper cites Synsiggan: Generative adversarial networks for synthetic biomedical signal generation,.

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study Synsiggan: Generative adversarial networks for synthetic biomedical signal generation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:31.828224Z

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 8bc4470e-eae7-4de3-8cae-3e8c46ddac71 · outbound

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

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T13:26:31.582200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 939f1f8c-2b75-49f8-b7b8-356cc8f97c16 · outbound

This paper cites Differentially private synthetic medical data generation using convolutional gans,.

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study Differentially private synthetic medical data generation using convolutional gans,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:31.817056Z

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 d31b014c-697c-4a34-b978-24e747eff6f2 · outbound

This paper cites Dp-ctgan: Differentially pri- vate medical data generation using ctgans,.

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study Dp-ctgan: Differentially pri- vate medical data generation using ctgans,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:31.805008Z

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 78c482ad-c210-4b9d-88bc-830bfbcd504b · outbound

This paper cites Data augmentation and the improvement of the performance of convolutional neural networks for heart sound classification,.

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study Data augmentation and the improvement of the performance of convolutional neural networks for heart sound classification,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:31.793783Z

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 c3571804-71ec-4ce4-ac19-35a70a84b943 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study WaveNet: A Generative Model for Raw Audio

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T13:26:31.598140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb0f608a-d41f-4e71-9082-593bd768bc50 · outbound

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

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T13:26:31.602124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7d16037-fdc4-4217-9c3f-81d3fb8dfbe3 · outbound

This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T13:26:31.605947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56a7704a-2d8f-407e-bd14-f3e43b7ec4e2 · outbound

This paper cites PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals,.

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T13:26:31.609623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c05e5db7-3307-4290-aaa1-211aed795063 · outbound

This paper cites The circor digiscope dataset: From murmur detection to murmur classification,.

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study The circor digiscope dataset: From murmur detection to murmur classification,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:31.782508Z

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 6064fd9c-1d9f-4e55-ba4f-87f899e792d4 · outbound

This paper cites Heart murmur detection from phonocardiogram recordings: The george b. moody physionet challenge 2022,.

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study Heart murmur detection from phonocardiogram recordings: The george b. moody physionet challenge 2022,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:31.771166Z

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 71a07908-09f9-4f56-b7fa-798de352edf7 · outbound

This paper cites Analysis of pcg signals using quality assessment and homomorphic filters for localization and classification of heart sounds,.

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study Analysis of pcg signals using quality assessment and homomorphic filters for localization and classification of heart sounds,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:31.760510Z

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 025b48bb-510b-4859-b118-78936c79042c · outbound

This paper cites an unresolved cited work.

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T13:26:31.623190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae129ebc-680a-422b-925c-3ad71ff04756 · outbound

This paper cites SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python,.

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T13:26:31.626494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 915402c7-2a4e-401c-ac62-f3003da71ec2 · outbound

This paper cites Transfusion: Generating long, high fidelity time series using diffusion models with transformers,.

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study Transfusion: Generating long, high fidelity time series using diffusion models with transformers,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:31.737023Z

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 edb8ab57-6474-4440-8f65-604a98e685bb · outbound

This paper cites Time-series generative ad- versarial networks,.

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study Time-series generative ad- versarial networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:26:31.724731Z

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.

Pith citing papers

No inbound Pith citation observations are available.