Paper Citation Record · LEDGER

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator

As of 14 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2509.10491.

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

pith.paper-citation-record.v1
2509.10491 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:18:03.516212Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T20:41:10.528667Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact2
verified fuzzy13
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 903a3f86-d7b9-4c42-a0f8-db2eca1a4f11 · outbound

This paper cites Deep generative models as the probability transformation functions.

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator Deep generative models as the probability transformation functions

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:18:03.913924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0fc682e2-8afe-412f-9773-c5ad16a79505 · outbound

This paper cites Generation of ecg signals from a reaction-diffusion model spatially discretized.

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator Generation of ecg signals from a reaction-diffusion model spatially discretized

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:18:04.475351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a2e7a5eb-0b06-4e2f-a26e-7257ce54217d · outbound

This paper cites Adversarial Audio Synthesis.

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator Adversarial Audio Synthesis

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T13:18:01.760962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d30b1aea-cafe-4be6-8549-5c466d1ccc02 · outbound

This paper cites Deepfake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine.

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator Deepfake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:18:04.460747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5516dcf2-d9d2-4093-ac85-a4c6b26ad868 · outbound

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

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator Synsiggan: Generative adversarial networks for synthetic biomedical signal generation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:18:04.446485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7f3e8528-3d1f-41bb-9db7-5f9234832cb8 · outbound

This paper cites Generative adversarial network with transformer generator for boosting ecg classification.

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator Generative adversarial network with transformer generator for boosting ecg classification

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:18:04.432827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 881d9a1a-9ec9-45da-a15a-b4693b38cca3 · outbound

This paper cites Diffusion-based conditional ecg generation with structured state space models.

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator Diffusion-based conditional ecg generation with structured state space models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:18:04.418075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7f0359eb-8f78-4cac-86b0-a2f014d51c95 · outbound

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

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator Diffecg: A versatile probabilistic diffusion model for ecg signals synthesis

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:18:04.402943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b261f997-b4b4-4d96-a89d-945074d74273 · outbound

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

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator Ecg synthesis via diffusion-based state space augmented transformer

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:18:04.388603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7ff6e859-fc44-42ae-a66f-e841225b080e · outbound

This paper cites Biodiffusion: A versatile diffusion model for biomedical signal synthesis.

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator Biodiffusion: A versatile diffusion model for biomedical signal synthesis

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:18:04.375016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0e98d66c-4b78-468c-b11f-f3d6df57340e · outbound

This paper cites Vaeeg: Variational auto-encoder for extracting eeg representation.

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator Vaeeg: Variational auto-encoder for extracting eeg representation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:18:04.361244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2bdc1f30-c79b-4052-90ab-1a02a0532483 · outbound

This paper cites Simgans: Simulator-based generative adversarial networks for ecg synthesis to improve deep ecg classification.

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator Simgans: Simulator-based generative adversarial networks for ecg synthesis to improve deep ecg classification

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:18:04.346578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 456daad7-25ef-42f2-a242-55f3698096d8 · outbound

This paper cites PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation.

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:18:03.720044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation edb24d87-ebc8-4f44-ab5f-7ca8bfe4adde · outbound

This paper cites Ptb-xl, a large publicly available electrocardiography dataset.

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator Ptb-xl, a large publicly available electrocardiography dataset

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T13:18:03.012819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf9e8518-c410-45d3-91aa-e1e7897c9746 · outbound

This paper cites Flow Matching for Generative Modeling.

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator Flow Matching for Generative Modeling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T13:18:03.137130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f957712e-6915-4934-a64f-3865087777ee · outbound

This paper cites Spectral similarity measure using frequency spectrum for hyperspectral image classification.

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator Spectral similarity measure using frequency spectrum for hyperspectral image classification

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:18:04.322908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0dc92ef2-1368-40e2-8d27-28b129d04d90 · outbound

This paper cites Borgwardt, Malte J.

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator Borgwardt, Malte J

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:18:04.294761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6baa167f-d9eb-4aed-8dc4-5d152906cdc6 · outbound

This paper cites Calibrated reliable regression using maximum mean discrepancy.

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator Calibrated reliable regression using maximum mean discrepancy

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:18:04.162927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae206484-86bc-441a-b233-487359a62677 · outbound

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

FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T13:18:03.516212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 68b38d1c-c105-45db-b0e3-3c3105363082 · inbound

Signal or Noise? Understanding Generative Models for Real-World Sensor Time Series cites this paper.

Signal or Noise? Understanding Generative Models for Real-World Sensor Time Series FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T20:41:10.528667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.