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Paper Citation Record · LEDGER

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration

As of 17 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 2 inbound Pith citation observations for arXiv:2505.03790.

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

pith.paper-citation-record.v1
2505.03790 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:47:46.678862Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T18:50:53.872036Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T18:55:00.441463Z

Reference resolution

29 of 29 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8ecfd699-ba7e-4bda-adcc-cc5daa24cfd9 · outbound

This paper cites Small data challenges of studying rare diseases,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Small data challenges of studying rare diseases,

Reference 1

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Observation 9016507c-8ffe-4d6d-9c7f-89651ceffca7 · outbound

This paper cites Clinical research for rare disease: opportunities, challenges, and solutions,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Clinical research for rare disease: opportunities, challenges, and solutions,

Reference 2

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Observation 12a14e96-2096-4131-ba8c-a3621af3a32b · outbound

This paper cites Skeleton-based data augmentation for sign language recognition using adversarial learning,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Skeleton-based data augmentation for sign language recognition using adversarial learning,

Reference 3

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Observation a52aba87-3a3b-4e50-9078-0f9d17e89e84 · outbound

This paper cites The Variational Fair Autoencoder.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration The Variational Fair Autoencoder

Reference 4

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Source-reported events for the cited work

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Observation 7cf834aa-f1f9-456d-9ee6-2b7f886e76e9 · outbound

This paper cites Generative adversarial nets,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Generative adversarial nets,

Reference 5

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Source-reported events for the cited work

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Observation c1dc1b6a-d594-4928-82f4-35c861e32cb7 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4fc48db6-fa90-427c-b1d2-7915607966a1 · outbound

This paper cites Denoising diffusion probabilistic models,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Denoising diffusion probabilistic models,

Reference 7

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Observation f0217d4d-020a-4f25-9169-fb051bae126c · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ae6fbb28-3a52-4ed6-88b1-7dac427df0f6 · outbound

This paper cites Zero-shot text-to-image generation,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Zero-shot text-to-image generation,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4aa08ae4-537b-4a90-ab5f-f71d460bc7e5 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration High- resolution image synthesis with latent diffusion models,

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0cca66af-bc5b-4d22-809d-dee48311cb77 · outbound

This paper cites Diffusion-lm improves controllable text generation,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Diffusion-lm improves controllable text generation,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c86d043a-5b05-49dd-93ac-467870c18ba0 · outbound

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

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6b488337-7ade-44a0-9d98-ac78ce08aa75 · outbound

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

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b7abb834-6aa2-4bb1-9642-2250f8323e0f · outbound

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

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 865fb5b2-a308-42ad-88df-56d8e3c03532 · outbound

This paper cites Stl: A seasonal-trend decomposition,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Stl: A seasonal-trend decomposition,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 75032348-9d77-4044-a725-ea043761e2a4 · outbound

This paper cites Data augmentation for time series classification using convolutional neural networks,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Data augmentation for time series classification using convolutional neural networks,

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ff2aba27-4951-45a0-9468-4fed86b9e743 · outbound

This paper cites A review: Data pre- processing and data augmentation techniques,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration A review: Data pre- processing and data augmentation techniques,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f3c64e17-ca64-4dda-a831-b1818e8638f8 · outbound

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

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Time Series Data Augmentation for Deep Learning: A Survey

Reference 18

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Source-reported events for the cited work

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Observation 20c36ed3-0723-4f26-a87e-fe6243d6100d · outbound

This paper cites Wavelet transform application for/in non-stationary time-series analysis: A re- view,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Wavelet transform application for/in non-stationary time-series analysis: A re- view,

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 82b4445c-f6c6-4073-9449-e458e61c35f8 · outbound

This paper cites What is the fast fourier transform?.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration What is the fast fourier transform?

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6d22fb12-401f-41eb-b80b-666471f3fb49 · outbound

This paper cites Detecting trend and seasonal changes in satellite image time series,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Detecting trend and seasonal changes in satellite image time series,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 528b0fdf-5890-417f-9ec6-4776f82e507e · outbound

This paper cites Learning deep generative models,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Learning deep generative models,

Reference 22

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Source-reported events for the cited work

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Observation 156ad4b9-2f04-4bc0-849e-ddf365232ccd · outbound

This paper cites Auto-Encoding Variational Bayes.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Auto-Encoding Variational Bayes

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7ab2e7be-55d8-4269-8851-9c656dbd2f38 · outbound

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A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Unresolved cited work

Reference 24

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Observation af892375-291e-41f5-ad84-8da833afdb4c · outbound

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A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Dataset Augmentation in Feature Space

Reference 25

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Source-reported events for the cited work

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Observation 1b033adb-240f-4efe-85e9-48bb316ff163 · outbound

This paper cites Reinforcement learning: A survey,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Reinforcement learning: A survey,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bc39761e-c88d-4bf4-930a-df8fac593069 · outbound

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A Time-Series Data Augmentation Model through Diffusion and Transformer Integration A survey of transfer learning,

Reference 27

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Source-reported events for the cited work

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Observation 9d7d027f-9442-43dc-aca8-8f2e27dfc506 · outbound

This paper cites Sign language vocabulary recognition only with tactile sensing glove,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Sign language vocabulary recognition only with tactile sensing glove,

Reference 28

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Source-reported events for the cited work

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Observation d2eff806-b6f7-48f7-b014-ecbde51a1684 · outbound

This paper cites Capturing com- plex hand movements and object interactions using machine learning- powered stretchable smart textile gloves,.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Capturing com- plex hand movements and object interactions using machine learning- powered stretchable smart textile gloves,

Reference 29

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verified fuzzy
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Source-reported events for the cited work

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Pith citing papers

Observation 1b48588d-17c2-4b57-bc87-3294340dfcec · inbound

DAD4TS: Data-Augmentation-Oriented Diffusion Model for Time-Series Forecasting with Small-Scale Data cites this paper.

DAD4TS: Data-Augmentation-Oriented Diffusion Model for Time-Series Forecasting with Small-Scale Data A Time-Series Data Augmentation Model through Diffusion and Transformer Integration

Reference 25

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Source-reported events for the cited work

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Observation 52934b2c-2f4e-4132-a7ca-9acb6a1aeff0 · inbound

DAD4TS: Data-Augmentation-Oriented Diffusion Model for Time-Series Forecasting with Small-Scale Data cites this paper.

DAD4TS: Data-Augmentation-Oriented Diffusion Model for Time-Series Forecasting with Small-Scale Data A Time-Series Data Augmentation Model through Diffusion and Transformer Integration

Reference 25

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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