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Paper Citation Record · LEDGER

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture

As of 7 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2508.19361.

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

pith.paper-citation-record.v1
2508.19361 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:52:55.305815Z

measured 15 of 15 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T17:37:43.719511Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 859701b2-12cc-43f8-ae08-8ed366dcc369 · outbound

This paper cites Atrial Fibrillation Associated with Heart Failure, Stroke and Mortality,.

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture Atrial Fibrillation Associated with Heart Failure, Stroke and Mortality,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T15:52:55.258612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:52:55.258612Z digest=sha256:26ca60b77211faeda8f188ffde105e1ecc1796c3be1307d88449cfb538a7652d

Observation d89e376d-28fb-430e-92a8-8c2a93d86401 · outbound

This paper cites Atrial fibrillation detection on reconstructed photoplethysmography signals collected from a smartwatch using a denoising autoencoder,.

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture Atrial fibrillation detection on reconstructed photoplethysmography signals collected from a smartwatch using a denoising autoencoder,

Reference 2

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T15:52:55.564869Z

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=2026-08-05T15:52:55.262801Z digest=sha256:2e6d9be096dfaa4a410fa5d84cbc7a2617fdbf12cd011c6141eb99bc90ecc293

Observation 7a2dae04-13c2-44ae-ad90-45eb0c4c632d · outbound

This paper cites Cooperative PPG/ECG Wearable System for Atrial Fibrillation Diagnosis,.

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture Cooperative PPG/ECG Wearable System for Atrial Fibrillation Diagnosis,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T15:52:55.266441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:52:55.266441Z digest=sha256:44030056d818a8e16ad4d111479b3e61c59adf1da8da60d44aa31ab05c904f23

Observation 78e1eafe-b40c-451b-a3d8-45127be56b35 · outbound

This paper cites Atrial Fibrillation Detection from Wrist Photoplethysmography Signals Using Smartwatches,.

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture Atrial Fibrillation Detection from Wrist Photoplethysmography Signals Using Smartwatches,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T15:52:55.270054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:52:55.270054Z digest=sha256:0f2712b1d44ec17bfeda6f1af6cf9c1a1b58a0f6805883e738fa97cee82bd614

Observation 460596a8-af8c-4e2b-95ea-c557e3bb6128 · outbound

This paper cites Atrial Fibrillation in the ICU,.

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture Atrial Fibrillation in the ICU,

Reference 5

Resolution
verified exact
doi, observed 2026-08-05T15:52:55.405369Z

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=2026-08-05T15:52:55.273879Z digest=sha256:6b81c9945747b012254b8e315670bdb8fa64690a779b1f73dc0895c623434775

Observation 816fc08e-f2fb-4108-8105-668b8a37da86 · outbound

This paper cites Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023),.

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023),

Reference 6

Resolution
verified exact
doi, observed 2026-08-05T15:52:55.394434Z

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=2026-08-05T15:52:55.277590Z digest=sha256:b5731cbc876d98be24fe2bd76fa6cd76f1e0d1bbbc271ec1ff06e4aad0e19637

Observation d37b5d49-bc89-4fb8-a6c2-888e3605ff62 · outbound

This paper cites Temporal Convolutional Networks for Action Segmentation and Detection,.

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture Temporal Convolutional Networks for Action Segmentation and Detection,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T15:52:55.281437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:52:55.281437Z digest=sha256:74787ff9a0d4f50aec410a169b7e0bd5ea72c20998464426330e05aa89945a6b

Observation 5d8da115-ce2d-4dea-b83d-b4f19cd79aa0 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T15:52:55.284871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:52:55.284871Z digest=sha256:2f20348e17e448c7e664c1f9302c5225cda97fd5b923f7efa0b4446aad16e01a

Observation dfb55eb4-bb30-43ea-ba4a-012db04a115e · outbound

This paper cites Artificial -intelligence-based risk prediction and mechanism discovery for atrial fibrillation using heart beat -to-beat intervals,.

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture Artificial -intelligence-based risk prediction and mechanism discovery for atrial fibrillation using heart beat -to-beat intervals,

Reference 9

Resolution
verified exact
doi, observed 2026-08-05T15:52:55.366051Z

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=2026-08-05T15:52:55.288416Z digest=sha256:d90926d050cb0e5b695e0224906b724ce91d199808efa5bd2b2377f52a404bc9

Observation 0c73711e-5ca8-48c7-8ab8-bc98623e2f00 · outbound

This paper cites PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals,.

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T15:52:55.291944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:52:55.291944Z digest=sha256:308b95613c27fd173695b90deb5a34b46c550a40e34c74dac779dc56c07c417f

Observation ce9c6ae4-ab3a-44a2-9676-4dd410690d94 · outbound

This paper cites IRIDIA-AF, a large paroxysmal atrial fibrillation long -term electrocardiogram monitoring database | Scientific Data.

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture IRIDIA-AF, a large paroxysmal atrial fibrillation long -term electrocardiogram monitoring database | Scientific Data

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:52:55.576167Z

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=2026-08-05T15:52:55.295517Z digest=sha256:da8663934ed2ecb022ec19c5dcda36839b769caffdc9aade784bdfdc93ae624f

Observation 151f0050-dd8b-49bd-9775-5e011d37d2fe · outbound

This paper cites ECGMamba: Towards Efficient ECG Classification with BiSSM.

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture ECGMamba: Towards Efficient ECG Classification with BiSSM

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T15:52:55.298870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:52:55.298870Z digest=sha256:8ad8b8b4f49f18333d944e129ecbcd17e183209a486b338f0b61eebb0a9d7e80

Observation e933b535-a911-4ad5-8b5c-4e9737ba7576 · outbound

This paper cites Role of the autonomic nervous system and premature atrial contractions in short - term paroxysmal atrial fibrillation forecasting: Insights from machine learning models,.

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture Role of the autonomic nervous system and premature atrial contractions in short - term paroxysmal atrial fibrillation forecasting: Insights from machine learning models,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T15:52:55.302584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:52:55.302584Z digest=sha256:b48ed5c4d263ced34dc1f416bba69094eeb66aa719c2f8a3538e4a0448bdd408

Observation 2a143762-6f0d-4700-afb1-a84d6fef9a68 · outbound

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

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture Cardiologist -level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T15:52:55.305815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:52:55.305815Z digest=sha256:7b0eb82f6b1d4d8ae4da9dfded6a687647c5165848c0d88ebcb597297ac56d31

Pith citing papers

Observation a355240b-41a0-4abb-ae55-ba88f6352b98 · inbound

Memory-Efficient EDA Denoising via Knowledge Distillation for Wearable IoT Under Severe Motion Artifacts and Underwater Conditions cites this paper.

Memory-Efficient EDA Denoising via Knowledge Distillation for Wearable IoT Under Severe Motion Artifacts and Underwater Conditions Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-08T17:38:46.710279Z

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=2026-05-08T17:37:43.719511Z digest=sha256:579eebb894210930ddce4830fa0a7a08e52fb01ef6580eb55a2627f780c2b04c