Paper Citation Record · LEDGER

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet

As of 17 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2505.05538.

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

pith.paper-citation-record.v1
2505.05538 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:11:20.052968Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

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

measured 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

24 of 24 outbound references displayed

verified exact0
verified fuzzy16
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d300eaf1-5744-453b-9467-fa2232525fec · outbound

This paper cites Cardiovascular diseases (CVDs).Accessed:2025-02-16.2025.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet Cardiovascular diseases (CVDs).Accessed:2025-02-16.2025

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:20.352899Z

Source-reported events for the cited work

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

Observation dded5589-674d-4ae5-a140-fd1a96c0d306 · outbound

This paper cites an unresolved cited work.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:11:20.342675Z

Source-reported events for the cited work

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

Observation 76295d7a-8d1a-4d1a-95a1-0b11d20e63d3 · outbound

This paper cites Global burden of cardiovascular diseases: projections from 2025 to 2050.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet Global burden of cardiovascular diseases: projections from 2025 to 2050

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T23:11:19.989538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cc09ffd-4737-449c-89bd-88fba69fb24b · outbound

This paper cites Attention is all you need.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet Attention is all you need

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:20.324991Z

Source-reported events for the cited work

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

Observation 772ee754-eb55-431a-94b9-d570cc1e63f2 · outbound

This paper cites Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:20.315288Z

Source-reported events for the cited work

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

Observation d3908688-ecc7-4d79-9528-65064939f05c · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecast- ing.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet Informer: Beyond efficient transformer for long sequence time-series forecast- ing

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:20.305720Z

Source-reported events for the cited work

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

Observation b52d9313-ae2d-4c4f-874d-202bf8d41e68 · outbound

This paper cites A time series is worth 64 words: Long-term forecasting with transformers.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet A time series is worth 64 words: Long-term forecasting with transformers

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:20.295298Z

Source-reported events for the cited work

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

Observation 868aa96f-57db-41cd-b003-f41d279113d5 · outbound

This paper cites Reformer: The efficient transformer.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet Reformer: The efficient transformer

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:20.286006Z

Source-reported events for the cited work

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

Observation a6d6def8-5a2c-49f4-9ad4-8315342b0fc3 · outbound

This paper cites Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T23:11:20.009959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d2dbfa6-458d-47c9-a45a-2d3978b8c7db · outbound

This paper cites Deep learning-based ECG arrhythmia classification: A systematic review.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet Deep learning-based ECG arrhythmia classification: A systematic review

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:20.275808Z

Source-reported events for the cited work

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

Observation 72770563-aa4e-4b27-849b-4be18d876224 · outbound

This paper cites Hierarchical deep learning with generative adversarial network for automatic cardiac diagnosis from ECG signals.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet Hierarchical deep learning with generative adversarial network for automatic cardiac diagnosis from ECG signals

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:20.264971Z

Source-reported events for the cited work

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

Observation c3ab9130-8e7e-47d3-ba16-c59d425bedad · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:20.255421Z

Source-reported events for the cited work

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

Observation f15cd0db-d5fe-465d-941c-d2406dcaa8d4 · outbound

This paper cites CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxil- iary Time Series as Exogenous Variables.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxil- iary Time Series as Exogenous Variables

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T23:11:20.023618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba7c3c8c-de76-4e83-b11c-8f250592c506 · outbound

This paper cites EEGNet: A compact convolutional neural network for EEG-based brain–computer interfaces.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet EEGNet: A compact convolutional neural network for EEG-based brain–computer interfaces

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:20.245182Z

Source-reported events for the cited work

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

Observation ee76f8f2-5dda-4a8c-9ec3-21c8cd0bb988 · outbound

This paper cites EEG Conformer: Convolutional Transformer for EEG Decoding and Visual- ization.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet EEG Conformer: Convolutional Transformer for EEG Decoding and Visual- ization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:20.233721Z

Source-reported events for the cited work

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

Observation 42356eb6-aa40-422a-a9cf-2f785a9adde3 · outbound

This paper cites iTransformer: Inverted transformers are effective for time series forecasting.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet iTransformer: Inverted transformers are effective for time series forecasting

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:20.221967Z

Source-reported events for the cited work

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

Observation 2e8de8c0-cbe0-48e7-a5ce-f6a4253984ae · outbound

This paper cites Multi-resolution time-series transformer for long-term forecasting.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet Multi-resolution time-series transformer for long-term forecasting

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:20.211346Z

Source-reported events for the cited work

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

Observation 37179a72-7bad-4ddf-8a12-fbfd7ecd1635 · outbound

This paper cites Pathformer: Multi-scale transformers with adaptive pathways for time series forecasting.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet Pathformer: Multi-scale transformers with adaptive pathways for time series forecasting

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:20.199915Z

Source-reported events for the cited work

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

Observation 3d3b09b9-fa4e-45ee-ba83-a421c20d13ed · outbound

This paper cites PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T23:11:20.041836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 397418f8-f387-48d6-866d-43945ea653d4 · outbound

This paper cites PTB-XL, a large publicly available electrocardiography dataset (version 1.0.3).

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet PTB-XL, a large publicly available electrocardiography dataset (version 1.0.3)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:20.188838Z

Source-reported events for the cited work

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

Observation 431ded3e-f0ac-41d0-a424-21af03951306 · outbound

This paper cites Gow et al.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet Gow et al

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:20.176820Z

Source-reported events for the cited work

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

Observation 08c072f0-52f6-4711-90cc-6e8cb784475a · outbound

This paper cites an unresolved cited work.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet Unresolved cited work

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T23:11:20.047658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ac693f0-f85d-462b-b0ca-3ca539e228da · outbound

This paper cites url: https://doi.org/10.13026/4nqg-sb35.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet url: https://doi.org/10.13026/4nqg-sb35

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T23:11:20.052968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8eab47e-e03e-417a-be2f-34968a73328a · outbound

This paper cites an unresolved cited work.

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet Unresolved cited work

Reference 2025

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:11:20.333655Z

Source-reported events for the cited work

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

Pith citing papers

No inbound Pith citation observations are available.