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Paper Citation Record · LEDGER

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications

As of 21 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 2 inbound Pith citation observations for arXiv:2504.16972.

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

pith.paper-citation-record.v1
2504.16972 v2

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:58:55.580663Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:45:05.252052Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T18:53:08.586903Z

Reference resolution

84 of 84 outbound references displayed

  • verified exact28
  • verified fuzzy6
  • unresolved44
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92a90355-0489-44c8-a5a9-d3fe447b480e · outbound

This paper cites and Xu, Y.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Xu, Y

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bee6b514-bd61-4e9c-aa9c-31157a6774d5 · outbound

This paper cites and Guo, W.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Guo, W

Reference 2

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:58:55.268172Z digest=sha256:84029f0a61028e46d25d3cc457059329dd1d4a42e306e5b2ab628fafec2a0a2f

Observation 05073ba8-085e-4f36-be55-2d183a162ce4 · outbound

This paper cites (2024) A Survey of Visual Transformers.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications (2024) A Survey of Visual Transformers

Reference 3

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source=pdf_text observed=2026-08-16T10:58:55.272311Z digest=sha256:b129b2870c540d698dc6bec8ff7e67c3d78a54c7ca72b46476d2208104dc3cc2

Observation 2b0e8c6f-afa4-4b42-a76b-84ea5a9bfb2d · outbound

This paper cites and Chelvan, I.T.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Chelvan, I.T

Reference 4

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verified exact
doi, observed 2026-08-16T10:58:55.941788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.276075Z digest=sha256:6ab0dc638ebea50ced2541aa1b53e66b1b5dbf0232abd1ecb75b88371a52f1c6

Observation b51c5225-7f0c-447a-914c-2a5cecc15c4f · outbound

This paper cites Masked Transformer for Electrocardiogram Classification.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications Masked Transformer for Electrocardiogram Classification

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:58:55.279577Z digest=sha256:05ebf9eb8a6f51cea886c3a4af5de580d3a9f5df4f8e05c5041c521d5da45240

Observation a64be500-d99c-4d17-93e0-3eec69888da8 · outbound

This paper cites and Veloso, M.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Veloso, M

Reference 7

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raw_fallback, observed 2026-08-16T10:58:58.027160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.287310Z digest=sha256:80e2c27cc0f712b8acbe99d7f915162e308bebf61611adce4471ef35f7abbc27

Observation 568f38d4-1bee-46fa-9d19-2fc4589de5ce · outbound

This paper cites Comparison of Autoencoder Encodings for ECG Representation in Downstream Prediction Tasks.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications Comparison of Autoencoder Encodings for ECG Representation in Downstream Prediction Tasks

Reference 8

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local_arxiv, observed 2026-08-16T10:58:57.971365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.290528Z digest=sha256:2c3c6cc2bef85b48488c76ba9d0a27013a5f1f398e195c27f08778df5214ffe8

Observation 3b1ad9bb-508d-4d3d-bb9d-225ca66bc217 · outbound

This paper cites and Hosseini, M.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Hosseini, M

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:58:55.293974Z digest=sha256:c9a119e22dc664e2525d6e44e52daecf5c752ef230ec94c3cc64dc1a59b30e76

Observation fda76301-1e25-4817-8a07-2ea3e640efc3 · outbound

This paper cites Positional Encoding in Transformer-Based Time Series Models: A Survey.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications Positional Encoding in Transformer-Based Time Series Models: A Survey

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:58:55.297632Z digest=sha256:37e561cb4c98d94a0241e1205e3d7bcc1018588d729b64bf2fd8f26d2354dfd0

Observation eef73d08-20fe-4efc-aa0a-5f9b5c81bd2a · outbound

This paper cites (2024) Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection with Vision Transformers.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications (2024) Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection with Vision Transformers

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b832b6b8-f87a-499c-85b0-a9c333590390 · outbound

This paper cites (1967) Some Methods for Classification and Analysis of Multivariate Observations.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications (1967) Some Methods for Classification and Analysis of Multivariate Observations

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:58:55.308450Z digest=sha256:beb8d4b22e0d7c4051bd37297a114ba7286ae139f07732b314128d81942b7675

Observation eaa7de97-4f18-40da-9a67-866d0cc250e8 · outbound

This paper cites and Xu, X.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Xu, X

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:58:55.311828Z digest=sha256:59e835bf996284da2f300423628989ce88a945a519a3177dd3f5a56f26bb68e0

Observation 8474f4a8-8683-4c12-b539-3ae09537af22 · outbound

This paper cites and Wang, X.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Wang, X

Reference 15

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no resolver link, observed 2026-08-16T10:58:55.314953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:58:55.314953Z digest=sha256:0041237773254a5cf06ba088e83e9cc6e24754b80ff75cd37a1ccf1f487ab3e7

Observation 8d9a90db-08e3-434d-b331-0232ba666078 · outbound

This paper cites (2022) Abnormal ECG De- tection Based on an Adversarial Autoencoder.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications (2022) Abnormal ECG De- tection Based on an Adversarial Autoencoder

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:58:55.318474Z digest=sha256:66cbdf8070bc3073f05a28daa85df3178ea5e15b27aab3aa672bf50753b6126f

Observation dba765c0-a9cf-44a8-9b0c-b08427ef31d7 · outbound

This paper cites and Wu, B.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Wu, B

Reference 17

Resolution
verified exact
doi, observed 2026-08-16T10:58:55.926190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2a823d67-4c02-4707-ab5f-ed4f0e76b238 · outbound

This paper cites (2025) A Convolutional Autoencoder Framework for ECG Signal Analysis.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications (2025) A Convolutional Autoencoder Framework for ECG Signal Analysis

Reference 18

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verified exact
doi, observed 2026-08-16T10:58:55.916666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.325613Z digest=sha256:bbad4998177bfd3050be3f106b91e9298038d05c385d8dd34389c07becf6ed54

Observation 86636d6a-a444-4144-9cfc-1b7964bc4ba6 · outbound

This paper cites and Biswas, U.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Biswas, U

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dbe22194-7c92-428e-8b64-83d88681eafa · outbound

This paper cites and Hussen, S.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Hussen, S

Reference 20

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verified exact
doi, observed 2026-08-16T10:58:55.906631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation af63839c-2fb3-4758-ad3d-5de6817a794d · outbound

This paper cites and Ren, Y.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Ren, Y

Reference 21

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verified exact
doi, observed 2026-08-16T10:58:55.897012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a2e037b4-df33-416d-b056-9d74ecd23711 · outbound

This paper cites and Giryes, R.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Giryes, R

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:58:55.339169Z digest=sha256:3216e52485d012d053ec02178a1ab9343e7f110a5e2a5663bffe3d2536a603c1

Observation 3801bad3-ae19-4543-a529-8581d73cbfba · outbound

This paper cites and Yu, Y.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Yu, Y

Reference 23

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doi, observed 2026-08-16T10:58:55.882153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d595c64a-329c-4d76-93d7-5ef9055b210d · outbound

This paper cites DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals

Reference 24

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local_arxiv, observed 2026-08-16T10:58:57.678052Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.345671Z digest=sha256:89a09c89161c68b2620e32b6e91042aee1175f824ff071d1d3117f5b28bdc0a8

Observation 7edf55c7-704e-4749-9605-08608f1d4d0a · outbound

This paper cites and Sun, Y.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Sun, Y

Reference 25

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source=pdf_text observed=2026-08-16T10:58:55.349600Z digest=sha256:7b3e86a1d4a7586f2a2b9c13c10a63c0ae431348462f9638ea82758954af4e71

Observation 35bea70a-95ce-4b17-926b-ecb0b95c656f · outbound

This paper cites Recent Advances in Autoencoder-Based Representation Learning.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications Recent Advances in Autoencoder-Based Representation Learning

Reference 27

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source=pdf_text observed=2026-08-16T10:58:55.359949Z digest=sha256:a20c8e94359be0d7fcb3f2213481767ed297f028a3dc7101f3921f2b9dfa6d2a

Observation 145a9a6f-11b7-465a-a6a6-0cef4685684a · outbound

This paper cites Auto-Encoding Variational Bayes.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications Auto-Encoding Variational Bayes

Reference 28

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source=pdf_text observed=2026-08-16T10:58:55.363579Z digest=sha256:79af3825b49a5a0633323cf032df0806f4f540521038f96b92e18e14beddf6d6

Observation a184b4f8-c21a-43c0-844a-6ee2a6e76981 · outbound

This paper cites (2023) A Foun- dational Vision Transformer Improves Diagnostic Performance for Electrocardio- grams.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications (2023) A Foun- dational Vision Transformer Improves Diagnostic Performance for Electrocardio- grams

Reference 29

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:58:55.367235Z digest=sha256:3d3f07b80ab71c65ad615d15f3016f71c8ac1f7fb2c7a7f4d02f678d4ad84f6d

Observation b6e2c92f-4cab-44bc-9ea6-82294cbc9403 · outbound

This paper cites (2022) Inter-Patient Con- gestive Heart Failure Detection Using ECG-Convolution-Vision Transformer Net- work.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications (2022) Inter-Patient Con- gestive Heart Failure Detection Using ECG-Convolution-Vision Transformer Net- work

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.370985Z digest=sha256:e7614b09ae7efb822aff956793184e5438c2105096c7619e1345c75745d71114

Observation ce287a04-b9cf-427e-a6bd-8d463d7ca1c8 · outbound

This paper cites and Roy, A.M.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Roy, A.M

Reference 31

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raw_fallback, observed 2026-08-16T10:58:57.648224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.374550Z digest=sha256:cf5abf8dbe9db69cfe6041d9147a8fe882bcd9fffb9144abe828646e27b33486

Observation 64599b38-0456-4330-8bf3-9505b4b7b28f · outbound

This paper cites Uncovering the structure of clinical EEG signals with self-supervised learning.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications Uncovering the structure of clinical EEG signals with self-supervised learning

Reference 32

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verified exact
local_arxiv, observed 2026-08-16T10:58:57.589056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.377796Z digest=sha256:33892055f9edb302ed6148a02a411a2bda90a7c5dea3d964e902bdc8909dd30c

Observation 7adf0b39-1e42-40f1-b49c-52582e6ee8bd · outbound

This paper cites and Acharya, U.R.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Acharya, U.R

Reference 33

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:58:55.381511Z digest=sha256:838e374914c3e37907241cff20740e02c7820eec6f215eb19ce7fe0e318d0511

Observation 9d5657f7-1f2e-471c-af92-18294d81224a · outbound

This paper cites (2023) Utilization of Temporal Autoencoder for Semi-Supervised Intracranial EEG Cluster- ing and Classification.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications (2023) Utilization of Temporal Autoencoder for Semi-Supervised Intracranial EEG Cluster- ing and Classification

Reference 34

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.384724Z digest=sha256:16dea0b223c3366836a3d53f6f87e1c7415ef2a9d58eab29e26e5a33ed8c729b

Observation 4fdb3e41-bc7d-4d56-b299-4d43c8a511f6 · outbound

This paper cites and Sayeh, M.R.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Sayeh, M.R

Reference 35

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raw_fallback, observed 2026-08-16T10:58:57.522897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.388158Z digest=sha256:5d27d03f8cafd75f812b28bae87fefd4f3aaca23538111552af62512b87698e7

Observation 94565427-0fdc-4edd-baf5-34ebc93fa399 · outbound

This paper cites and Ahmed, S.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Ahmed, S

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:58:55.391775Z digest=sha256:419a3e1c403cfcff50da19d7b72c2887ce9412d9b46840496414bc858949f737

Observation ef8c53fa-0ea3-48a5-b0d3-7d98e8573230 · outbound

This paper cites and Yoon, D.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Yoon, D

Reference 37

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verified exact
doi, observed 2026-08-16T10:58:55.834980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.395162Z digest=sha256:a300d029b4b912d9cf90b19f79da9f6e4c4dba4c6121488bc628418463899f92

Observation 02dfb00b-9180-4e87-a157-96c688e00c8f · outbound

This paper cites and Ella Hassanien, A.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Ella Hassanien, A

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:58:55.398910Z digest=sha256:bbf1de28127e4bebd76c4d400185aad3b6493d8aad6c5dffbddbbe20e30e808c

Observation c2990b14-32b3-488b-9b87-2b6828a2b9d2 · outbound

This paper cites and Muller-Putz, G.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Muller-Putz, G

Reference 39

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source=pdf_text observed=2026-08-16T10:58:55.402337Z digest=sha256:baba126eb2d12635640b1d7f04af6732ef0fc517f9f9d4401b289edb8a98158d

Observation 69ed08f1-dfe2-4da2-ad26-adc8ad676400 · outbound

This paper cites (2024) Applying Masked Autoencoder-Based Self-Supervised Learning for High-Capability Vision Transformers of Electrocardiographies.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications (2024) Applying Masked Autoencoder-Based Self-Supervised Learning for High-Capability Vision Transformers of Electrocardiographies

Reference 41

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source=pdf_text observed=2026-08-16T10:58:55.409538Z digest=sha256:1a2a5de08e879d600f9a721058aa902695fc4568e9cf994ca19a028d1b0ca884

Observation df1a79cb-f483-4236-9c48-266964125ba7 · outbound

This paper cites and Yan, X.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Yan, X

Reference 42

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source=pdf_text observed=2026-08-16T10:58:55.413036Z digest=sha256:3d4e3a2afca294fae20d177561d57674674113860424d327673e2b95da6bf862

Observation 76d087c8-0b4c-4d07-93ed-0cddf9a7ce1e · outbound

This paper cites Harnessing Vision Models for Time Series Analysis: A Survey.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications Harnessing Vision Models for Time Series Analysis: A Survey

Reference 43

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source=pdf_text observed=2026-08-16T10:58:55.416461Z digest=sha256:d255d70035179984708e8bb28248d1155cdbdd951292338cbaebcc27b733506c

Observation e6153aa1-2257-4437-8d39-31ba20d33a3e · outbound

This paper cites and Yang, C.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Yang, C

Reference 44

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.420409Z digest=sha256:436ad0a3d6807f93a8c688456e781bcfc53e40483a4935b2ac0987527b0bead6

Observation 338f9dc1-cb33-456f-a99c-f46eec02b570 · outbound

This paper cites and Zafeiriou, S.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Zafeiriou, S

Reference 45

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.424704Z digest=sha256:ac208d7698edfb6a029285f53555158550811f97b1eb85363445e4aac9d3b097

Observation 6cf5a6a3-b41d-4e16-ba08-1cba4b9177dc · outbound

This paper cites (2024) FreqMAE: Fre- quency-Aware Masked Autoencoder for Multi-Modal IoT Sensing.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications (2024) FreqMAE: Fre- quency-Aware Masked Autoencoder for Multi-Modal IoT Sensing

Reference 46

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source=pdf_text observed=2026-08-16T10:58:55.428523Z digest=sha256:4151850af30b39b0ee57232e60bc7c73ae5dfb4f62d43c73ebe2797d69149576

Observation 79665246-8067-4938-bf46-10172f5e5e64 · outbound

This paper cites and Núñez, F.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Núñez, F

Reference 47

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source=pdf_text observed=2026-08-16T10:58:55.432184Z digest=sha256:4d91fa9d3c42986c3c0a672b76d26678dae5d93ff8ab99a2aced721ef9510261

Observation 5cb3640f-e2f3-4018-b5ea-e4f0da3d4c04 · outbound

This paper cites and Welch, I.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Welch, I

Reference 48

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source=pdf_text observed=2026-08-16T10:58:55.435836Z digest=sha256:59a910433c733d537707e6d64cb1941c49601282df685014127f4a2edc589804

Observation ff73d7bc-f33e-40be-abd9-7c8f44c9865e · outbound

This paper cites and Xie, L.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Xie, L

Reference 49

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.439797Z digest=sha256:5fc51f6f53581c1c5093b105f17deb46431f6dbb2acc52d2be9ff4a02a129503

Observation 7ac7ddc9-1474-482d-bf06-b860a7c0d523 · outbound

This paper cites and Sakhnini, D.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Sakhnini, D

Reference 50

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source=pdf_text observed=2026-08-16T10:58:55.443724Z digest=sha256:b0fe8c054d8820241ae8e7ac8db2d035db80cee9b3478348e5e32f6d4eda0a0e

Observation 82a8adf8-866c-4d58-907d-e5683c798a30 · outbound

This paper cites and Qi, P.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Qi, P

Reference 51

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source=pdf_text observed=2026-08-16T10:58:55.447866Z digest=sha256:75a8c958ba152f8b8b80b90aca7d29e5c6f6c4fe652c0c5e9edfce0088f024e7

Observation 9b43024e-c156-43cc-a637-f574db7f1653 · outbound

This paper cites and Lynar, T.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Lynar, T

Reference 52

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source=pdf_text observed=2026-08-16T10:58:55.451941Z digest=sha256:1b2fd0d351fae913f3ee66e8175e4cd38ea344a94c4e39d9a27c2755326f5b6c

Observation 1ee4dd8b-9f4d-4361-9bd3-1913c63315b9 · outbound

This paper cites and Hamdaoui, B.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Hamdaoui, B

Reference 53

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source=pdf_text observed=2026-08-16T10:58:55.455514Z digest=sha256:a1d6bfb9e184de29c1203e6dc2dc695ca519ad7ea611d0f7f7a84389dfcce8d0

Observation ad77370b-ee84-4c5b-83d3-da6c81cb6d4b · outbound

This paper cites and Yang, Q.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Yang, Q

Reference 55

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.463269Z digest=sha256:b6390ed34ea0688a4265984fb861894e82cf907196eac7125f578e99b6b33863

Observation 47a5fe43-8306-4781-9a5f-312388572caf · outbound

This paper cites and Wang, D.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Wang, D

Reference 56

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source=pdf_text observed=2026-08-16T10:58:55.466691Z digest=sha256:91738731862bd7eabcaa3e24aa314f79d799796e910d7540300b57ac96625f8c

Observation a741bf35-1084-40aa-8659-06f3fca103ac · outbound

This paper cites and Desai, A.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Desai, A

Reference 57

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.470548Z digest=sha256:19cea2e2bfbca845ad44ccdc81f01f0725613eb220259696b9afd4fde7dffb1d

Observation e7dfe38e-4801-4e55-bbc6-92b2024be0ce · outbound

This paper cites and Park, J.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Park, J

Reference 58

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.473879Z digest=sha256:76ec81598c83f6cf1f1060f47ec6b9dff25d153461d3fd630c2bf9514d74ed60

Observation 3dc8e038-b745-42cb-a0a2-ed26f54d2cd9 · outbound

This paper cites and Choi, Y.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Choi, Y

Reference 59

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source=pdf_text observed=2026-08-16T10:58:55.477418Z digest=sha256:6b8cda04c98896c1ff134b1f7f5a2bffa63ab93656b6f78ce25195fe52ecfe55

Observation 980656db-a836-4973-9945-940d9b6451dc · outbound

This paper cites and Erer, I.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Erer, I

Reference 60

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source=pdf_text observed=2026-08-16T10:58:55.480487Z digest=sha256:64fea2f7c755bd7dbc63c25cb1235978fa3de61dd7baa47ff7011489e718a1cd

Observation 6e3d977b-1ea1-4ad3-9ddc-783caf2bc09f · outbound

This paper cites and Bovolo, F.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Bovolo, F

Reference 61

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source=pdf_text observed=2026-08-16T10:58:55.483678Z digest=sha256:4253a02c2b69b8c21c274ff4a3884ee6d1bc2f6f9f8e815c98f6c1088a463e9e

Observation 7bc13ff8-3356-4c61-b783-b21d2ceff5bc · outbound

This paper cites and Zou, B.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Zou, B

Reference 62

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source=pdf_text observed=2026-08-16T10:58:55.486941Z digest=sha256:cb18503e81bb1bb825cbeb7febd7ec0fbea59597c524328f8d48b3f5d567eeff

Observation 180e4e75-3357-4075-8810-331882883f61 · outbound

This paper cites and Xu, D.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Xu, D

Reference 63

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source=pdf_text observed=2026-08-16T10:58:55.490158Z digest=sha256:2bf086ae05b33204aee6a65b8d6034578bb262204698637a53ee0e5663663433

Observation 4493358f-5819-415b-8d1f-bf5010f8d0c9 · outbound

This paper cites and Wang, X.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Wang, X

Reference 64

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source=pdf_text observed=2026-08-16T10:58:55.493584Z digest=sha256:0e0429ecc509947bdfaed7e77d1299ebb3698b4a2d53b164c86b6a424240a26f

Observation c0b3b06a-526e-4e9c-8adf-5fa22a7e6f57 · outbound

This paper cites and Ovarlez, J.P.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Ovarlez, J.P

Reference 65

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verified exact
raw_fallback, observed 2026-08-16T10:58:56.520794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.497257Z digest=sha256:7984670ae549ecbbb39f36dc1ab1eaa6bb5fd7026ea9ba3b41bd9643f0cd2753

Observation 5aafe33a-977b-4a5b-a650-4c12857f6696 · outbound

This paper cites and Xu, S.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Xu, S

Reference 66

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source=pdf_text observed=2026-08-16T10:58:55.500584Z digest=sha256:1cbc0ab472099f56e4f9d8eeb26bbd559e3bfd207bdad083de9c517fd94cde9d

Observation 0948b53a-40fe-4908-b09a-84a7770c7b19 · outbound

This paper cites (2024) Semi-Supervised FMCW Radar Hand Gesture Recognition via Pseudo-Label Consistency Learning.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications (2024) Semi-Supervised FMCW Radar Hand Gesture Recognition via Pseudo-Label Consistency Learning

Reference 68

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.507635Z digest=sha256:d49b90174145448febe75992ffe1c691fb9624970d05eabe11af467de9b91d02

Observation 2391649e-3003-4d5a-9443-e8944990a426 · outbound

This paper cites and Han, C.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Han, C

Reference 69

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.511569Z digest=sha256:0a984b4087a74bfff474ea62016f983403e0e81b6d023d2eb3705ee85332b1fe

Observation 4830923a-37f1-4426-af75-2e1f20dc20b1 · outbound

This paper cites and Bruzzone, L.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Bruzzone, L

Reference 70

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.515122Z digest=sha256:3f479929fca09f52276cde0c417f952a429fcebdd2379a4c82b7c74fe9e91d56

Observation eb09f48d-ac63-45fe-bbaf-b9b8ad315e83 · outbound

This paper cites and Steinbach, E.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Steinbach, E

Reference 71

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source=pdf_text observed=2026-08-16T10:58:55.518658Z digest=sha256:77ebfe1f4e35eec4e4569540db90a3b12914d4c2d13a3795c12b72698bc03433

Observation bf0edaa4-07f0-4501-99cd-9d98db8585da · outbound

This paper cites and Huang, W.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Huang, W

Reference 72

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metadata mismatch
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.522113Z digest=sha256:2b92316791581c60083b00715451393f0abaecaf6f0981274b964bd8c993791e

Observation 1dd67eb1-c4dc-427b-9699-5699d9a90aa2 · outbound

This paper cites and Liu, H.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Liu, H

Reference 73

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.525546Z digest=sha256:9d03661cc4728fbe444f22ad4d95ca25756ae1c0abc01602937182295de70e8d

Observation ddf599e5-e0b6-4653-b3e3-f921aa8e3796 · outbound

This paper cites and Zhu, X.X.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Zhu, X.X

Reference 74

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source=pdf_text observed=2026-08-16T10:58:55.529934Z digest=sha256:fb8ccfb29b542bbba4db89f7d0f97d66728224d39e8d6e343ccc60a8f9cfc5a1

Observation 90cabf0b-18db-4210-8396-d6df8ccf9eae · outbound

This paper cites and Veeravalli, B.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Veeravalli, B

Reference 75

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source=pdf_text observed=2026-08-16T10:58:55.533256Z digest=sha256:f205e90d01da1d102803ce3ad6ca3187746be4a8f91b6f2320aeeb309a304fcf

Observation de9f29a3-4629-45eb-b5bd-0da35a266cd8 · outbound

This paper cites (2024) MAPM: PolSAR Image Classification with Masked Autoencoder Based on Position Prediction and Memory Tokens.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications (2024) MAPM: PolSAR Image Classification with Masked Autoencoder Based on Position Prediction and Memory Tokens

Reference 76

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verified exact
doi, observed 2026-08-16T10:58:55.751503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.536386Z digest=sha256:d3295e4d600c3036da27c5e8ba713cc1b5d440168ed091a9ed6723a78da91106

Observation aaa588b7-5b17-4185-b931-73356c1a7d50 · outbound

This paper cites and Fan, Y.Y.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Fan, Y.Y

Reference 77

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doi, observed 2026-08-16T10:58:55.739791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.539888Z digest=sha256:05ac64f6b3873d861d4eedde5bf229d9c73a3ffbdb0ff36b467ce63ed95686ec

Observation ac6b4677-d0b7-496a-bc0c-848519923974 · outbound

This paper cites Digital Signal Processing Using Deep Neural Networks.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications Digital Signal Processing Using Deep Neural Networks

Reference 78

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local_arxiv, observed 2026-08-16T10:58:56.127202Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:58:55.543245Z digest=sha256:a78557cda4a377adc2aff3ca081ef91edefb249f20112e085f31350b285bc6d3

Observation b9b1db06-dc75-4273-b891-4ebcafaf5754 · outbound

This paper cites and Wang, J.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Wang, J

Reference 79

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Source-reported events for the cited work

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Observation 17ced6a9-29b3-449c-b03b-a6f984c74c15 · outbound

This paper cites and Chaaban, A.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Chaaban, A

Reference 80

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Observation c31714d4-0f14-4b6a-98a6-28449ad9edf0 · outbound

This paper cites and Guo, L.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Guo, L

Reference 81

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Observation da0c0b86-f872-4a3c-b98e-beb5983cf9f4 · outbound

This paper cites and Yao, Y.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Yao, Y

Reference 82

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c13a7c70-b140-4c76-a2bb-88533f106ddb · outbound

This paper cites and Wang, K.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Wang, K

Reference 83

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Observation 93c439d5-85e0-48c6-8305-072fc9686ca0 · outbound

This paper cites and Zhu, Y.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Zhu, Y

Reference 84

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Observation adaa1954-0f9d-48f8-a322-cc536d3e6d06 · outbound

This paper cites and Patel, A.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Patel, A

Reference 85

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Observation 965ae9cf-71f6-49bb-99ee-93673b032086 · outbound

This paper cites and Park, S.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and Park, S

Reference 86

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Observation 07bc54bc-c3e8-4af1-bdc3-e91602e7472d · outbound

This paper cites Few-Shot Radar Signal Recognition through Self-Supervised Learning and Radio Frequency Domain Adaptation.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications Few-Shot Radar Signal Recognition through Self-Supervised Learning and Radio Frequency Domain Adaptation

Reference 87

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Observation 20c8f71c-643f-4b92-95e7-0a1effcec5c9 · outbound

This paper cites and das Chagas Moura, M.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications and das Chagas Moura, M

Reference 88

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 07064696-2da6-4b9d-bb7a-2080a84c5e6d · outbound

This paper cites an unresolved cited work.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications Unresolved cited work

Reference 1128

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unresolved
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Unavailable: canonical work link unavailable.

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Observation dedee9a3-79e4-4417-9d8e-42fd91bae93b · outbound

This paper cites an unresolved cited work.

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications Unresolved cited work

Reference 3408

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verified exact
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Pith citing papers

Observation fdd79389-598c-4611-8054-367327a7cff9 · inbound

Sanitizing Manufacturing Dataset Labels Using Vision-Language Models cites this paper.

Sanitizing Manufacturing Dataset Labels Using Vision-Language Models Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications

Reference 36

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Observation e2257736-25ba-43fb-9064-b89b049d40a4 · inbound

Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook cites this paper.

Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications

Reference 1

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verified exact
arxiv_id, observed 2026-05-13T18:53:08.588403Z

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