Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T21:08:52.234225Z
Paper Citation Record · LEDGER
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis
As of 8 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 0 inbound Pith citation observations for arXiv:2509.08188.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
82 of 82 outbound references displayed
- verified exact7
- verified fuzzy42
- unresolved33
- parse uncertain0
- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 946fe481-741f-4809-91af-d4cc96aa9580 · outbound
This paper cites Data augmentation of eeg using gans for emotion recognition.IEEE Transactions on Affective Computing, 2021.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Data augmentation of eeg using gans for emotion recognition.IEEE Transactions on Affective Computing, 2021
Reference 1
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5147cb7d-5351-4b33-a9aa-cefd096145c0 · outbound
This paper cites Engemann, and Alexandre Gramfort.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Engemann, and Alexandre Gramfort
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:41.957999Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2abca350-c93c-4d1c-938d-505233d8e42e · outbound
This paper cites classification of covariance matrices using riemannian geometry and its application to brain-computer interfaces.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis classification of covariance matrices using riemannian geometry and its application to brain-computer interfaces
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:06.993454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a3ea9ecd-e976-43e5-a91e-ace11dd8d28a · outbound
This paper cites an unresolved cited work.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:09:06.745166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 340b8790-e7a2-40e8-99ca-3dd23db1d1b9 · outbound
This paper cites Demystifying MMD GANs.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Demystifying MMD GANs
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:06.618033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a49542a1-235a-4eb5-8c41-19905c758d47 · outbound
This paper cites an unresolved cited work.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:09:06.410296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ecc296a4-3bf1-4d60-8a21-05d9f5288531 · outbound
This paper cites The secret sharer: Evaluating and testing unintended memorization in neural networks.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis The secret sharer: Evaluating and testing unintended memorization in neural networks
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:06.090936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8f0c406e-ef88-4562-9014-6c40c414c87d · outbound
This paper cites Extracting training data from diffusion models.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Extracting training data from diffusion models
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:05.873344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation dd3a7886-4ef4-4d92-8a94-10fd79cbd78d · outbound
This paper cites Improving EEG Classification Through Randomly Reassembling Original and Generated Data with Transformer-based Diffusion Models.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Improving EEG Classification Through Randomly Reassembling Original and Generated Data with Transformer-based Diffusion Models
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T21:08:54.407971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5fa37376-ff52-4974-84d9-1ce6127c5e2f · outbound
This paper cites WaveGrad: Estimating Gradients for Waveform Generation.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis WaveGrad: Estimating Gradients for Waveform Generation
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:42.935239Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3af7a2e-4007-4cf3-827a-e1562d482df1 · outbound
This paper cites Eeg artifact simulation for training robust deep networks.Frontiers in Neuroinformatics, 16:835699, 2022.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Eeg artifact simulation for training robust deep networks.Frontiers in Neuroinformatics, 16:835699, 2022
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:05.726363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5bb2ea68-9b63-41de-9d88-bbd8666d6f99 · outbound
This paper cites Image-based Data Representations of Time Series: A Comparative Analysis in EEG Artifact Detection.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Image-based Data Representations of Time Series: A Comparative Analysis in EEG Artifact Detection
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T21:08:54.050659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d8dba2d8-d0e5-4da9-9001-c68a106a03bd · outbound
This paper cites Diffusion models beat gans on image synthesis.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Diffusion models beat gans on image synthesis
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:05.497785Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 69bb53cc-6d0e-4932-a627-64c653849f96 · outbound
This paper cites Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective
Reference 14
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 832bfeed-ad65-4617-bb9a-9a270fdd3344 · outbound
This paper cites Adversarial audio synthesis.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Adversarial audio synthesis
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:05.342818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0b81d809-4881-4b75-847d-126b36df4a9b · outbound
This paper cites an unresolved cited work.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:09:05.178566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e37582a3-582b-4359-b4c6-da51de9bbad9 · outbound
This paper cites Hyland, and Gunnar Rätsch.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Hyland, and Gunnar Rätsch
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:04.948369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0edb98ea-65f5-4b3a-b231-de57d849390d · outbound
This paper cites Goldberger, Luis A.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Goldberger, Luis A
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:04.758896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 919a1a3d-08ee-40eb-a5ac-889c154f410e · outbound
This paper cites a kernel two-sample test.Journal of Machine Learning Research, 13(25):723–773, 2012.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis a kernel two-sample test.Journal of Machine Learning Research, 13(25):723–773, 2012
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:04.497775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9f43d134-fb28-4d87-a303-324b7965aff7 · outbound
This paper cites Improved training of wasserstein gans.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Improved training of wasserstein gans
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:04.201981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0807b4b7-d27b-4fe4-ad57-1dcd0b05a6ab · outbound
This paper cites Habashi, Ahmed M.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Habashi, Ahmed M
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:03.914487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7f743dd0-99c1-48c2-bde0-b4d8a08e1244 · outbound
This paper cites Hamid, K.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Hamid, K
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:03.734166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation fe4fce7b-8f89-440a-af29-0faa518c6285 · outbound
This paper cites EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88620d00-e3d8-4360-91a4-31e0204bc9bb · outbound
This paper cites deep residual learning for image recognition.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis deep residual learning for image recognition
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:03.492755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c6006937-b029-436f-ad9e-e9f9baca6a17 · outbound
This paper cites Cubuk, Barret Zoph, Justin Gilmer, and Balaji Lakshmi- narayanan.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Cubuk, Barret Zoph, Justin Gilmer, and Balaji Lakshmi- narayanan
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:03.276299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4454f6fc-6417-43cd-bb42-51d9f8a40390 · outbound
This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Gans trained by a two time-scale update rule converge to a local nash equilibrium
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:45.055411Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ba33b10-c216-421b-b47e-50bb8a81bf27 · outbound
This paper cites Denoising diffusion probabilistic models.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Denoising diffusion probabilistic models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:45.169175Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7109e114-168e-4645-b239-64e3cf180e2e · outbound
This paper cites Classifier-Free Diffusion Guidance.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Classifier-Free Diffusion Guidance
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:45.283974Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fae5c88e-daf0-49ae-9499-e2faa6170cea · outbound
This paper cites Energy-Efficient Tree-Based EEG Artifact Detection.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Energy-Efficient Tree-Based EEG Artifact Detection
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T21:08:53.421455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9d78adb3-4347-4674-97ab-a746b41b6101 · outbound
This paper cites Jackson and Luis M.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Jackson and Luis M
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:02.938594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 252e135f-bc97-44fb-836a-c47e0f2713b8 · outbound
This paper cites Removal of artifacts from eeg signals: A review.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Removal of artifacts from eeg signals: A review
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:02.718673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cb24db13-c13b-443b-9ef7-273fff8f78c5 · outbound
This paper cites Aneeg: Leveraging deep learning for effective artifact removal in eeg data.Scientific Reports, 14(1):14761, 2024.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Aneeg: Leveraging deep learning for effective artifact removal in eeg data.Scientific Reports, 14(1):14761, 2024
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:02.389501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5893a1ad-db96-4a2a-9d2a-7d02a0be1013 · outbound
This paper cites elucidating the design space of diffusion-based generative models.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis elucidating the design space of diffusion-based generative models
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:02.124378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1958ea62-2893-4005-b0cf-32d6a15ff6de · outbound
This paper cites The tuh abnormal expansion eeg corpus (tuabex).NeuroImage: Clinical, 38:103317, 2023.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis The tuh abnormal expansion eeg corpus (tuabex).NeuroImage: Clinical, 38:103317, 2023
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:01.910931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation db42b7da-1cd1-4fbc-89b5-338258232d2e · outbound
This paper cites Fr\'echet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Fr\'echet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:46.035792Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1db35f57-09ea-4bd0-82b9-b1dde50af6c4 · outbound
This paper cites Adam: A method for stochastic optimization.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Adam: A method for stochastic optimization
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:46.124559Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1ca7387-5199-4ab4-a207-45dd2e34278e · outbound
This paper cites Synthesizing eeg signals from event-related potential paradigms with conditional diffusion models.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Synthesizing eeg signals from event-related potential paradigms with conditional diffusion models
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:01.616765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9d7f649c-cdcd-4d41-a729-d59c84e89e7b · outbound
This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis DiffWave: A Versatile Diffusion Model for Audio Synthesis
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:46.398159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation adb7f821-1b21-4692-b762-fd1ac8dba6ed · outbound
This paper cites improved precision and recall metric for assessing generative models.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis improved precision and recall metric for assessing generative models
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:01.426076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation be0132f7-a978-4dfa-915b-f4a1d19d40ac · outbound
This paper cites Lawhern, Amelia J.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Lawhern, Amelia J
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:01.133520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 51d05442-1b0d-4fc2-89ea-30274c8148c1 · outbound
This paper cites Diffusion Models for Time Series Applications: A Survey.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Diffusion Models for Time Series Applications: A Survey
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T21:08:53.133030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 95858b4a-255a-4346-ab50-668f0346ba58 · outbound
This paper cites Flow Matching for Generative Modeling.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Flow Matching for Generative Modeling
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:46.881367Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50da998c-2966-4642-b617-46df01c10757 · outbound
This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:47.052401Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c29bf071-fc5e-459c-a09b-9121d24cf317 · outbound
This paper cites revisiting classifier two-sample tests.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis revisiting classifier two-sample tests
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:00.907959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b19ca65f-edba-4b85-b374-e70f0bd607e6 · outbound
This paper cites Decoupled weight decay regularization.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Decoupled weight decay regularization
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:47.299561Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19bba89f-fd5b-48cc-9c43-767985f7819d · outbound
This paper cites Eeg signal reconstruction using a generative adversarial network with a temporal–spatial–frequency loss.Frontiers in Neuroinformatics, 14:15, 2020.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Eeg signal reconstruction using a generative adversarial network with a temporal–spatial–frequency loss.Frontiers in Neuroinformatics, 14:15, 2020
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:00.579251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 592902c0-1b3a-4f48-965a-ebc06dce2191 · outbound
This paper cites Membership Inference Attacks against Diffusion Models.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Membership Inference Attacks against Diffusion Models
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T21:08:52.881195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7adcf298-e268-4a5a-98aa-4d94ec34eb10 · outbound
This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:47.753123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aaeaf477-8c33-4f7c-9d1d-9c36346ceb41 · outbound
This paper cites cGANs with projection discriminator.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis cGANs with projection discriminator
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:00.240859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1411fdc6-af7e-4d68-9f6e-634a375d2257 · outbound
This paper cites Mognon, J.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Mognon, J
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:09:00.046097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e16b7855-d000-465e-b7cd-fc22290f91cc · outbound
This paper cites Nayak and Sandip Bandyopadhyay.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Nayak and Sandip Bandyopadhyay
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:08:59.778726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9f453e84-7e28-43cc-b0e0-1d97681789c9 · outbound
This paper cites DiffECG: A Versatile Probabilistic Diffusion Model for ECG Signals Synthesis.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis DiffECG: A Versatile Probabilistic Diffusion Model for ECG Signals Synthesis
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:48.270187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70c99606-3bec-4a33-927b-98a1ce506e9e · outbound
This paper cites improved denoising diffusion probabilistic models.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis improved denoising diffusion probabilistic models
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:08:59.552535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1d7c9a37-06ed-49df-8c13-58ffb7b95c75 · outbound
This paper cites an unresolved cited work.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:08:59.267247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 187c8d59-b3c6-4c3c-acbf-8f7a0fb19faf · outbound
This paper cites Iden- tifying true brain interaction from eeg data using the imaginary part of coherency.Clinical Neurophysiology, 115(10):2292–2307, 2004.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Iden- tifying true brain interaction from eeg data using the imaginary part of coherency.Clinical Neurophysiology, 115(10):2292–2307, 2004
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:08:58.926862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8e7ba2ec-89b8-4701-94a1-2e1cd36915c3 · outbound
This paper cites The temple university hospital eeg data corpus.Frontiers in Neuroscience, 2016.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis The temple university hospital eeg data corpus.Frontiers in Neuroscience, 2016
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:08:58.717718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e7412ad3-d147-4d97-ac6f-6344d302ef25 · outbound
This paper cites Pytorch: An imperative style, high-performance deep learning library.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Pytorch: An imperative style, high-performance deep learning library
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:08:58.466911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9c6dc1cb-a5f3-47ab-b71b-ba2aa264d988 · outbound
This paper cites Automagic: Standardized preprocessing of big eeg data.bioRxiv, page 460469, 2019.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Automagic: Standardized preprocessing of big eeg data.bioRxiv, page 460469, 2019
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:08:58.245282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9c0e0371-c68a-4159-92bf-6a534d539a77 · outbound
This paper cites scalable diffusion models with transformers.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis scalable diffusion models with transformers
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:08:58.005406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 87675595-e9d9-4a2f-b75f-e052f99f778e · outbound
This paper cites Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T21:08:52.602944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4c17c761-1eae-470c-91e9-42cfce95b944 · outbound
This paper cites film: visual reasoning with a general conditioning layer.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis film: visual reasoning with a general conditioning layer
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:08:57.752201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 09c1ab27-7544-4498-a498-91a10c7eb1e5 · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis U-net: Convolutional networks for biomedical image segmentation
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:08:57.489274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1f1480aa-f7ed-4982-ae17-1bba4e854924 · outbound
This paper cites Falk, and Jocelyn Faubert.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Falk, and Jocelyn Faubert
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:08:57.219853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d5ca1193-78de-417a-9d11-9b25c443c5c6 · outbound
This paper cites an unresolved cited work.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Unresolved cited work
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:49.887078Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c9bf7de-7082-4f70-b548-091d91c42a16 · outbound
This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Progressive Distillation for Fast Sampling of Diffusion Models
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:50.037601Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8f2063f-1a68-4c2e-97c8-f6bc90c24fbd · outbound
This paper cites an unresolved cited work.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Unresolved cited work
Reference 66
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:08:56.913738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c4658c8a-6b9d-4ff7-8a6e-077150ac737f · outbound
This paper cites McHugh, Lily Veloso, Meysam Golmoham- madi, Iyad Obeid, and Joseph Picone.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis McHugh, Lily Veloso, Meysam Golmoham- madi, Iyad Obeid, and Joseph Picone
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:08:56.621364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 77768c2d-564d-46ba-9f86-93650707d365 · outbound
This paper cites Denoising Diffusion Implicit Models.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Denoising Diffusion Implicit Models
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:50.384651Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e88dda69-14a3-4dc0-a549-0ba9405e71a3 · outbound
This paper cites Consistency Models.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Consistency Models
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:50.550315Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7a5c050-296e-44ae-a8c2-25fdfe09e087 · outbound
This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Score-Based Generative Modeling through Stochastic Differential Equations
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:50.673012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbeeb91b-66ab-4eeb-991a-b418e225c317 · outbound
This paper cites evaluation measures for synthetic time series: a taxonomy and empirical study.Journal of Big Data, 11(1):92, 2024.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis evaluation measures for synthetic time series: a taxonomy and empirical study.Journal of Big Data, 11(1):92, 2024
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:08:56.419107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f353af76-e3ab-47ca-a0bc-ec2b9240dcaa · outbound
This paper cites an unresolved cited work.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Unresolved cited work
Reference 72
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:08:56.205463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7619425b-9575-4168-847c-03d3f5404041 · outbound
This paper cites EEG Synthetic Data Generation Using Probabilistic Diffusion Models.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis EEG Synthetic Data Generation Using Probabilistic Diffusion Models
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:51.098875Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09d90a68-9e7d-46a7-bf9f-ab86b58b003b · outbound
This paper cites EEG artifact removal—state-of-the-art and guidelines.Journal of Neural Engineering, 12(3):031001, jun 2015.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis EEG artifact removal—state-of-the-art and guidelines.Journal of Neural Engineering, 12(3):031001, jun 2015
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:08:55.947351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e10566c5-024a-4209-a5ac-e2c92d0addc9 · outbound
This paper cites Visualizing data using t-SNE.Journal of Machine Learning Research, 9:2579–2605, 2008.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Visualizing data using t-SNE.Journal of Machine Learning Research, 9:2579–2605, 2008
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:51.327770Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0eb77cbe-34c1-4d19-a9fe-78b38e4c1758 · outbound
This paper cites an unresolved cited work.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Unresolved cited work
Reference 76
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:08:55.602062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 480713c6-1b4d-4c51-9ca8-06489dca881a · outbound
This paper cites an unresolved cited work.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Unresolved cited work
Reference 77
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:08:55.264918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 85397f6b-0f53-4196-bc2c-3cbef2dc929a · outbound
This paper cites Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:51.803520Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ae0a92b-efef-4df0-b91d-d82072d54c0a · outbound
This paper cites Automatic classification of artifactual ica-components for artifact removal in eeg signals.Behavioral and Brain Functions, 7(30):1–15, 2011.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Automatic classification of artifactual ica-components for artifact removal in eeg signals.Behavioral and Brain Functions, 7(30):1–15, 2011
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:08:55.011196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1bc28804-3aab-4bdd-a262-5fdadf0d19fd · outbound
This paper cites parallel wavegan: a fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis parallel wavegan: a fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:08:54.735647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 35fd8d9b-2b59-47f7-b8e4-a468ec85d5f2 · outbound
This paper cites Time-series generative adversarial networks.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Time-series generative adversarial networks
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:52.122037Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45246a3c-33ce-49f4-b9e3-4b66065d183a · outbound
This paper cites Adding Conditional Control to Text-to-Image Diffusion Models.
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis Adding Conditional Control to Text-to-Image Diffusion Models
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:08:52.234225Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.