Paper Citation Record · LEDGER

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning

As of 21 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2608.12695.

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

pith.paper-citation-record.v1
2608.12695 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:26:23.424553Z

measured 18 of 18 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 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

18 of 18 outbound references displayed

verified exact0
verified fuzzy9
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parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5185015f-dd69-465a-8bbd-061da120c937 · outbound

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

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:26:23.581401Z

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.

Observation 785852cb-ede7-4223-bfba-0a0d6069c22c · outbound

This paper cites An artificial intelligence-enabled ecg algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction,.

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning An artificial intelligence-enabled ecg algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:26:23.571990Z

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.

Observation 476cca49-43e1-49b5-85f5-59e1516faa5a · outbound

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

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T04:26:23.378808Z

Source-reported events for the cited work

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Observation 441d3e34-7d87-41e0-8736-0e9a33fd9161 · outbound

This paper cites Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling,.

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:26:23.557881Z

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.

Observation 5c3282c1-dcb3-4828-9ec8-822b82d4d82a · outbound

This paper cites Self-supervised representation learning from 12-lead ecg data,.

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning Self-supervised representation learning from 12-lead ecg data,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:26:23.549246Z

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.

Observation ad3bfadd-1040-4f7c-a5cf-f68cf2119813 · outbound

This paper cites ECG-FM: An Open Electrocardiogram Foundation Model.

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning ECG-FM: An Open Electrocardiogram Foundation Model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:26:23.387979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6b42a16-f7fb-4e03-85fe-1e002286c8e4 · outbound

This paper cites An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains.

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T04:26:23.391495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d05fbedb-8d08-4094-a77a-ddd6f6fb9c8e · outbound

This paper cites Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram.

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T04:26:23.394734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a463746-5b65-4103-9444-8d12cee902cb · outbound

This paper cites Hubert-ecg as a self-supervised foundation model for broad and scalable cardiac applications,.

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning Hubert-ecg as a self-supervised foundation model for broad and scalable cardiac applications,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:26:23.540563Z

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.

Observation b2568750-eb5a-4e83-8b37-7fd3f9ba24d0 · outbound

This paper cites HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysis.

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T04:26:23.401207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b3b1fdb-228d-404f-b31a-99aff4f7dc9b · outbound

This paper cites Reading your heart: Learning ECG words and sentences via pre-training ECG language model,.

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning Reading your heart: Learning ECG words and sentences via pre-training ECG language model,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:26:23.531958Z

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.

Observation f5588c37-c9cf-4a56-b863-b2bab5c472f0 · outbound

This paper cites Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery.

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T04:26:23.407449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5f4a58e-327d-49d4-b1d4-85d71e191646 · outbound

This paper cites Clocs: Contrastive learning of cardiac signals across space, time, and patients,.

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning Clocs: Contrastive learning of cardiac signals across space, time, and patients,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:26:23.523158Z

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.

Observation bcb0e78f-89ff-4f6d-a443-af148a332b7e · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning Representation Learning with Contrastive Predictive Coding

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:26:23.413857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2e57078-c0ef-423c-a7f7-e98d255bbbed · outbound

This paper cites The precision-recall plot is more informa- tive than the roc plot when evaluating binary classifiers on imbalanced datasets,.

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning The precision-recall plot is more informa- tive than the roc plot when evaluating binary classifiers on imbalanced datasets,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T04:26:23.416675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd52bae8-0967-4c05-b6d8-42d5995f6d99 · outbound

This paper cites Comparative analysis of bag-of-words models for ecg- based biometrics,.

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning Comparative analysis of bag-of-words models for ecg- based biometrics,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:26:23.509451Z

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.

Observation 8def0a64-e970-4986-b33a-97c800e6fd17 · outbound

This paper cites Fine-tuning can distort pretrained features and underperform out-of-distribution,.

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning Fine-tuning can distort pretrained features and underperform out-of-distribution,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:26:23.500598Z

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.

Observation 127d8be7-c559-4634-98ff-20b41719b830 · outbound

This paper cites Visualizing data using t-sne,.

The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning Visualizing data using t-sne,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T04:26:23.424553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.