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Paper Citation Record · LEDGER

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG

As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2506.06342.

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

pith.paper-citation-record.v1
2506.06342 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:59:30.665785Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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  • verified fuzzy34
  • unresolved3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3f6ba35-a355-45dc-8973-545c93a3f1d8 · outbound

This paper cites Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram,

Reference 1

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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.

source=pdf_text observed=2026-08-07T11:59:26.819564Z digest=sha256:1ab6595d0459561df92279523cf7e5326a252017b537bdcbd447e770a4eba023

Observation b0ad9619-83d8-4947-9e88-e69f2b3765d1 · outbound

This paper cites Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,

Reference 2

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no resolver link, observed 2026-08-07T11:59:26.928300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:59:26.928300Z digest=sha256:67c8fe5194337586980cec64f696883bf7e0cdc8d1dcbdb019240eeb5b4ccd89

Observation 706620a3-033d-4d94-9aad-7a36859c4893 · outbound

This paper cites Ecg heart-beat classification using multimodal image fusion,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Ecg heart-beat classification using multimodal image fusion,

Reference 3

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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.

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Observation 0c9fd01c-1943-4a52-9efb-e22dd40084e6 · outbound

This paper cites A dilated residual vision transformer for atrial fibrillation detection from stacked time-frequency ecg representations,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG A dilated residual vision transformer for atrial fibrillation detection from stacked time-frequency ecg representations,

Reference 4

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raw_fallback, observed 2026-08-07T11:59:35.951828Z

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.

source=pdf_text observed=2026-08-07T11:59:27.193391Z digest=sha256:d7cd860a5b745e1d8db3ca6d83161e7c92637b705706cbab720cf1601f929a79

Observation 05dd752d-24a6-423c-a215-e893da276358 · outbound

This paper cites A Survey on Multi-view Learning.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG A Survey on Multi-view Learning

Reference 5

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no resolver link, observed 2026-08-07T11:59:27.350614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:59:27.350614Z digest=sha256:9be8f4997605f7989d733a78a297efef89ba3482c5d3f48b047e315e99a7ff92

Observation 8984e914-f7dd-4fbf-ae6e-e7c14fdb4566 · outbound

This paper cites Automatic heartbeat classification using s-shaped reconstruction and a squeeze-and- excitation residual network,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Automatic heartbeat classification using s-shaped reconstruction and a squeeze-and- excitation residual network,

Reference 6

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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.

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Observation cd8eb13e-d138-45ee-9cd1-2fda9df1e92f · outbound

This paper cites Atrial fibrillation detection using convolutional neural networks on 2-dimensional representation of ecg signal,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Atrial fibrillation detection using convolutional neural networks on 2-dimensional representation of ecg signal,

Reference 7

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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.

source=pdf_text observed=2026-08-07T11:59:27.584670Z digest=sha256:54a96573c294591debcc7c62fcb8936f801ceea4a225af8a4929bc6175aaee60

Observation b781d0a7-4b08-44d8-9f61-d18bc15bb8ff · outbound

This paper cites Spectro-temporal feature based multi-channel convolutional neural network for ecg beat classification,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Spectro-temporal feature based multi-channel convolutional neural network for ecg beat classification,

Reference 8

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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.

source=pdf_text observed=2026-08-07T11:59:27.697718Z digest=sha256:68e506dd61eede1bc6b3aba9f36124a167d7bb2669fba98ec32c812ee4107f82

Observation ecbfd378-a74f-42c6-a853-e03e394d22e6 · outbound

This paper cites Multi-class arrhythmia detection based on neural network with multi-stage features fusion,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Multi-class arrhythmia detection based on neural network with multi-stage features fusion,

Reference 9

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raw_fallback, observed 2026-08-07T11:59:35.421142Z

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.

source=pdf_text observed=2026-08-07T11:59:27.806448Z digest=sha256:0db61ec29b0a7b68c64d8f88f6163ec72b82af670595d72ebe9706ebc2eea5a6

Observation 261d4bea-d9e4-4697-a60d-ecb3b5fb9b1a · outbound

This paper cites On merging feature engineering and deep learning for diagnosis, risk prediction and age estimation based on the 12-lead ecg,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG On merging feature engineering and deep learning for diagnosis, risk prediction and age estimation based on the 12-lead ecg,

Reference 10

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raw_fallback, observed 2026-08-07T11:59:35.282420Z

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.

source=pdf_text observed=2026-08-07T11:59:27.938480Z digest=sha256:c3723a6ba853a7cee3ec08ea545acad4324593cc948a8bcd7778b2626dc70fd2

Observation b9d65043-fb6e-4c10-82d8-839938227db9 · outbound

This paper cites Multi-class arrhythmia detection from 12-lead varied-length ecg using attention-based time- incremental convolutional neural network,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Multi-class arrhythmia detection from 12-lead varied-length ecg using attention-based time- incremental convolutional neural network,

Reference 11

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raw_fallback, observed 2026-08-07T11:59:35.154169Z

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.

source=pdf_text observed=2026-08-07T11:59:28.036854Z digest=sha256:679335e79f9ccff26b539b9acee3aa7862533e60d294eec7c61097fd8fd04cc3

Observation 69da625e-021b-43eb-8b20-0d5584f2b224 · outbound

This paper cites Multi-label correlation guided feature fusion network for abnormal ecg diagnosis,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Multi-label correlation guided feature fusion network for abnormal ecg diagnosis,

Reference 12

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raw_fallback, observed 2026-08-07T11:59:34.994684Z

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.

source=pdf_text observed=2026-08-07T11:59:28.126834Z digest=sha256:942f87c0e1983c1de4643ab4013b4d09f909cdcadd913ea2fa8f3ec44c1ba81d

Observation 78753c2a-644a-4581-aecb-284b40398174 · outbound

This paper cites A multi- view multi-scale neural network for multi-label ecg classification,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG A multi- view multi-scale neural network for multi-label ecg classification,

Reference 13

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raw_fallback, observed 2026-08-07T11:59:34.855284Z

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.

source=pdf_text observed=2026-08-07T11:59:28.216396Z digest=sha256:792e46eec763a27a658cc182dc5ec8e837b9de4199b9c4444c08cbaade010eb0

Observation bf1ba97b-c3b3-4eb0-aa00-14148d2b3503 · outbound

This paper cites Analysis of augmentations for contrastive ecg representation learning,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Analysis of augmentations for contrastive ecg representation learning,

Reference 14

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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.

source=pdf_text observed=2026-08-07T11:59:28.347436Z digest=sha256:b850e1ea2f2eb47f1ec68d79b365880de4c47f9ae854020b323bb3c13476973e

Observation d6d064c7-1380-44d4-b787-1d5069111025 · outbound

This paper cites In-distribution and out-of- distribution self-supervised ecg representation learning for arrhythmia detection,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG In-distribution and out-of- distribution self-supervised ecg representation learning for arrhythmia detection,

Reference 15

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raw_fallback, observed 2026-08-07T11:59:34.523642Z

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.

source=pdf_text observed=2026-08-07T11:59:28.446291Z digest=sha256:4ab00e1b0e82e0f0666af728870ee901c8a95aeec19723d51a05cf7e7b07837a

Observation 81b0377b-3a0a-411b-a811-bb6257283dda · outbound

This paper cites Encoding time series as images for visual inspection and classification using tiled convolutional neural networks,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Encoding time series as images for visual inspection and classification using tiled convolutional neural networks,

Reference 16

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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.

source=pdf_text observed=2026-08-07T11:59:28.533773Z digest=sha256:b71d323a163f4da3d8c2e94c85bf0b41acf9d061cc2bd1c3622d7b8899d89571

Observation e477df62-4b83-4f52-9147-7f9089449f8a · outbound

This paper cites Ha-resnet: Residual neural network with hidden attention for ecg arrhythmia detection using two- dimensional signal,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Ha-resnet: Residual neural network with hidden attention for ecg arrhythmia detection using two- dimensional signal,

Reference 17

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raw_fallback, observed 2026-08-07T11:59:34.250531Z

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.

source=pdf_text observed=2026-08-07T11:59:28.617116Z digest=sha256:e5ffbe6c734868f886ae8e5d92c096ce522e6424bad83819840bd484e52bc901

Observation 2a7aa2f1-257f-448a-a601-00ad84cf9875 · outbound

This paper cites A survey on vision transformer,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG A survey on vision transformer,

Reference 18

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raw_fallback, observed 2026-08-07T11:59:34.115576Z

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.

source=pdf_text observed=2026-08-07T11:59:28.716128Z digest=sha256:bcc6825c8b54e8e8a56b5461847db166c5dceda04cdf285b169b2eee70387831

Observation 806452e0-3153-44df-b229-335fbc373f13 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 19

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raw_fallback, observed 2026-08-07T11:59:33.993755Z

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.

source=pdf_text observed=2026-08-07T11:59:28.815592Z digest=sha256:b1a576770a03e305319df810cae7673a278927f74b07807a2f9694456a8d339c

Observation 77b48b54-256a-4298-9542-bec3e90e741f · outbound

This paper cites Ecg heartbeat classi- fication: A deep transferable representation,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Ecg heartbeat classi- fication: A deep transferable representation,

Reference 20

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raw_fallback, observed 2026-08-07T11:59:33.845652Z

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.

source=pdf_text observed=2026-08-07T11:59:28.886571Z digest=sha256:b3f631b795ca0683008ed38d8ada163b12c0663d9ade89b4b5a98a5b2364f1a9

Observation 20c6cdf2-fedb-4329-aa8d-77b179e32bbb · outbound

This paper cites Combining the taguchi method and convolutional neural networks for arrhythmia classification by using ecg images with single heartbeats,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Combining the taguchi method and convolutional neural networks for arrhythmia classification by using ecg images with single heartbeats,

Reference 21

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raw_fallback, observed 2026-08-07T11:59:33.711096Z

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.

source=pdf_text observed=2026-08-07T11:59:28.917495Z digest=sha256:d1ca19ef134a77ea2a273bd5df4660392fdb21049b361c978a89a52188871574

Observation 7421fdec-9438-4619-adc2-9132bd636dcd · outbound

This paper cites A new approach of transparent and explainable artificial intelligence technique for patient-specific ecg beat classification,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG A new approach of transparent and explainable artificial intelligence technique for patient-specific ecg beat classification,

Reference 22

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raw_fallback, observed 2026-08-07T11:59:33.542478Z

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.

source=pdf_text observed=2026-08-07T11:59:28.965783Z digest=sha256:063130eae8bd42528fd1d0490060f8a341ff9527966438bd03935d692dc56a3f

Observation aba77752-1abb-4cf4-aa26-f0ec8858e44b · outbound

This paper cites Gen- eralization of convolutional neural networks for ecg classification using generative adversarial networks,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Gen- eralization of convolutional neural networks for ecg classification using generative adversarial networks,

Reference 23

Resolution
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raw_fallback, observed 2026-08-07T11:59:33.422901Z

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.

source=pdf_text observed=2026-08-07T11:59:29.072146Z digest=sha256:fdce226b6505b34fea81d70c8d859e7ebbd165b6837dd70262de2257618daa65

Observation a4d2f544-dd9c-425b-8872-0e5d5ce0e34d · outbound

This paper cites Ecg classification using 1-d convolutional deep residual neural network,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Ecg classification using 1-d convolutional deep residual neural network,

Reference 24

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raw_fallback, observed 2026-08-07T11:59:33.257318Z

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.

source=pdf_text observed=2026-08-07T11:59:29.158503Z digest=sha256:b2fd5f33312f0859f87e7ff035bd504142d1e2604ce3dfe38dde716f45410448

Observation 19901fcd-5013-4bdc-9f7c-112a2dda82c0 · outbound

This paper cites A pyramid-like model for heartbeat classification from ecg recordings,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG A pyramid-like model for heartbeat classification from ecg recordings,

Reference 25

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raw_fallback, observed 2026-08-07T11:59:33.087716Z

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.

source=pdf_text observed=2026-08-07T11:59:29.227929Z digest=sha256:01bd326c89c83ad213867502e57609838e579f832013cc1f90eccb6d4be6a1da

Observation e17d659f-df9f-4b52-9665-70612fcc1fe6 · outbound

This paper cites Three-class ecg beat classification by ordinal entropies,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Three-class ecg beat classification by ordinal entropies,

Reference 26

Resolution
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raw_fallback, observed 2026-08-07T11:59:32.944195Z

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.

source=pdf_text observed=2026-08-07T11:59:29.315560Z digest=sha256:38587adf4e424e26a6a37e2bd7a5ee6c5965bf903f0aee98e1a562470e2148a3

Observation ab0a1531-b422-499f-952b-5f8353956842 · outbound

This paper cites Cross-database generalization of deep learning models for arrhythmia classification,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Cross-database generalization of deep learning models for arrhythmia classification,

Reference 27

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raw_fallback, observed 2026-08-07T11:59:32.777728Z

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.

source=pdf_text observed=2026-08-07T11:59:29.398144Z digest=sha256:4de8eb83b03739ef6a9e8fec203762b2e36f99200aa4300da6db0076f1bd70b5

Observation fd64da84-fdfb-4371-a037-cb3509bd1905 · outbound

This paper cites A micro neural network for healthcare sensor data stream classification in sustainable and smart cities,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG A micro neural network for healthcare sensor data stream classification in sustainable and smart cities,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:59:32.630945Z

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.

source=pdf_text observed=2026-08-07T11:59:29.519707Z digest=sha256:2dce47293eadd50075fa8495d11b4644da94f6c907d551136e06836b0305d2cb

Observation af9e53ee-c5be-4fca-a97d-46214f583563 · outbound

This paper cites A generalization of bayesian inference,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG A generalization of bayesian inference,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T11:59:29.654284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:59:29.654284Z digest=sha256:6282309fd09992b568337b8ab8f0f0fc09cd88e1917466aa02372e21cf4c488a

Observation 6a930ac3-78ae-4361-ba1a-5db3713d8559 · outbound

This paper cites A mathematical theory of evidence for gls shackle,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG A mathematical theory of evidence for gls shackle,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:59:32.487414Z

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.

source=pdf_text observed=2026-08-07T11:59:29.791584Z digest=sha256:bb89aac502fc1d05a0b67c79bd5c80e255e58c91bcf4b3e8632036cacde38e7e

Observation 011d5606-f4cc-47c2-bb4d-f2d4bec413a0 · outbound

This paper cites Motor imagery eeg classification based on riemannian sparse optimization and dempster- shafer fusion of multi-time-frequency patterns,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Motor imagery eeg classification based on riemannian sparse optimization and dempster- shafer fusion of multi-time-frequency patterns,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:59:32.355513Z

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.

source=pdf_text observed=2026-08-07T11:59:29.956747Z digest=sha256:1b96b69de281c6634acdf945e121f2c223b792c6da3c519a7121a51dd781240e

Observation 25aee322-8305-4ddc-a7f7-92e347d9ad6c · outbound

This paper cites Hierarchical filtering with online learned priors for ecg denoising,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Hierarchical filtering with online learned priors for ecg denoising,

Reference 32

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raw_fallback, observed 2026-08-07T11:59:32.194767Z

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.

source=pdf_text observed=2026-08-07T11:59:30.098649Z digest=sha256:4f16fae63321109cd9eb0f80706c2a624fa13bada8e16a753c1ebc8d2c7d45e6

Observation 7a661fb9-9e0d-45df-a756-ad40170f58a2 · outbound

This paper cites The impact of the mit-bih arrhythmia database,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG The impact of the mit-bih arrhythmia database,

Reference 33

Resolution
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raw_fallback, observed 2026-08-07T11:59:31.946983Z

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.

source=pdf_text observed=2026-08-07T11:59:30.193679Z digest=sha256:c380023864f85a046700fe5142bb917835e8edb339bf4458535cfc2542a69f71

Observation dcbfbf1b-0f08-4593-904b-ee8f3547ef72 · outbound

This paper cites Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:59:31.712936Z

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.

source=pdf_text observed=2026-08-07T11:59:30.329003Z digest=sha256:91060cfddbe05056793052f7e464f9d4e806b5e436e0de8f7cd86d80f0a6997e

Observation 3905a111-02f2-4578-8635-1ab8f373cf2d · outbound

This paper cites Smote: synthetic minority over-sampling technique,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Smote: synthetic minority over-sampling technique,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:59:31.459746Z

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.

source=pdf_text observed=2026-08-07T11:59:30.437972Z digest=sha256:0e43e59a6210da416337010db653761d53a0c2546b5be7ac337557fece062b59

Observation 5c555a15-82c6-488b-80ff-2a2da93caeb8 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Imagenet: A large-scale hierarchical image database,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:59:31.242077Z

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.

source=pdf_text observed=2026-08-07T11:59:30.530430Z digest=sha256:4820c7adb2443c480ee37efeb22f2e54c85c57916f844ff99fbef35036009b0d

Observation 21c3d236-1100-4ec0-9ff6-3cce07437c88 · outbound

This paper cites A noise stress test for arrhythmia detectors,.

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG A noise stress test for arrhythmia detectors,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:59:31.082293Z

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.

source=pdf_text observed=2026-08-07T11:59:30.665785Z digest=sha256:fdb5dfbf0965a78f988af7b175ed13264df8308d89174c9429541a0b7f455378

Pith citing papers

No inbound Pith citation observations are available.