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Paper Citation Record · LEDGER

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2509.03066.

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

pith.paper-citation-record.v1
2509.03066 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:11:40.123751Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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  • verified fuzzy31
  • unresolved11
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External citation measurements

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Outbound references

Observation 6a2cb326-40d6-4710-8051-0c503de8e2e9 · outbound

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

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

Reference 1

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Observation f84f2c38-f144-40cf-bac4-92f09c4020f7 · outbound

This paper cites Automated multilabel diagnosis on electrocardiographic images and signals.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Automated multilabel diagnosis on electrocardiographic images and signals

Reference 2

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7c8357a8-6543-42fd-8676-37d90cee6d91 · outbound

This paper cites Attention is all you need.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Attention is all you need

Reference 3

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Observation b15e080a-9301-4c3b-8c28-09107dcf1ca7 · outbound

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

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 4

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Observation 42aad1ce-ef15-4bd7-bf94-6b7e5dad8f7a · outbound

This paper cites Deep residual learning for image recognition.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Deep residual learning for image recognition

Reference 5

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source=pdf_text observed=2026-08-05T11:11:40.010366Z digest=sha256:d33f012e1b37234f4768591ae908e97a995d52dff1f5091a7550bfbd20d1854e

Observation 0d29fc83-d043-4e64-a1d8-4c9f0fae161f · outbound

This paper cites Deep neural networks generalization and fine-tuning for 12-lead ecg classification.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Deep neural networks generalization and fine-tuning for 12-lead ecg classification

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 331fa33a-5aab-4376-97d8-9aa991c1a0c4 · outbound

This paper cites Lstm: A search space odyssey.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Lstm: A search space odyssey

Reference 7

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6d8c7dd4-034b-4a34-9d2a-169477a72b13 · outbound

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

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Multi-class arrhythmia detection from 12-lead varied-length ecg using attention-based time-incremental convolutional neural network

Reference 8

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.019757Z digest=sha256:576007e0746bb19c714df6ad22ec5387986ed459de5760bc6ff91144d65ef76a

Observation b164dbce-c4c4-4792-8a0d-2551c790bedb · outbound

This paper cites Automatic cardiac arrhythmia classification using combination of deep residual network and bidirectional lstm.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Automatic cardiac arrhythmia classification using combination of deep residual network and bidirectional lstm

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f49179b0-e847-49b2-832e-010861b1203d · outbound

This paper cites Automated ecg classification based on 1d deep learning network.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Automated ecg classification based on 1d deep learning network

Reference 10

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 14370d69-a028-4071-8e53-6eaa12d665aa · outbound

This paper cites Multilabel 12-lead ecg classification based on leadwise grouping multibranch network.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Multilabel 12-lead ecg classification based on leadwise grouping multibranch network

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.028148Z digest=sha256:60541ead5a0fc23ae776e75cea235b4f67abcba968a7a1f3b876fcdf0e44b28a

Observation 9a8d29c1-52c1-4ed1-bd32-402e384aca85 · outbound

This paper cites Msgformer: A multi-scale grid transformer network for 12-lead ecg arrhythmia detection.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Msgformer: A multi-scale grid transformer network for 12-lead ecg arrhythmia detection

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 30425fc8-4ee6-44ab-9ab2-80071ba69134 · outbound

This paper cites Mfb-cbrnn: A hybrid network for mi detection using 12-lead ecgs.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Mfb-cbrnn: A hybrid network for mi detection using 12-lead ecgs

Reference 13

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f995ef3c-fe04-4d54-9f83-3ddb4951f69b · outbound

This paper cites St-rege: A novel spatial- temporal residual graph convolutional network for cvd.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG St-rege: A novel spatial- temporal residual graph convolutional network for cvd

Reference 14

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 30251d5a-0e1e-44d7-8837-2589f38f1dc7 · outbound

This paper cites Honest-ge: 2-step heuristic optimization and node-level embedding empower spatial-temporal graph model for ecg.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Honest-ge: 2-step heuristic optimization and node-level embedding empower spatial-temporal graph model for ecg

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation aa7da500-6ee5-4c30-8ff8-fb26502d8509 · outbound

This paper cites Advanced deep learning framework for ecg arrhythmia classification using 1d-cnn with attention mechanism.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Advanced deep learning framework for ecg arrhythmia classification using 1d-cnn with attention mechanism

Reference 16

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.042216Z digest=sha256:3fa82ee591a6a7883e209f84b0338d4662d94f0a0beffc3200d138252cca392c

Observation 8299c1a5-8f23-4ebc-b9bf-eed909c25624 · outbound

This paper cites A Survey of Mamba.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG A Survey of Mamba

Reference 17

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source=pdf_text observed=2026-08-05T11:11:40.045581Z digest=sha256:924335c057bec8911a30682207b8175fd3e524b9163b91d69c76417076e90b7d

Observation 6ebd7b21-769a-4839-9616-b184707dc9a0 · outbound

This paper cites MambaByte: Token-free Selective State Space Model.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG MambaByte: Token-free Selective State Space Model

Reference 18

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source=pdf_text observed=2026-08-05T11:11:40.048554Z digest=sha256:a121d5f3f2054618ef93c30f77b4c799a0fac662e24649c95a602b004f242c8b

Observation ce199e97-6b84-46a0-ba14-a464f3366d7b · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 19

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source=pdf_text observed=2026-08-05T11:11:40.051749Z digest=sha256:e554c255e352c016416885b709de64ab4d16a5f57f1a43d441f06cd19d09fcc2

Observation 0f7bc19f-ce0d-4656-ba40-73b78c3ff418 · outbound

This paper cites VMamba: Visual State Space Model.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG VMamba: Visual State Space Model

Reference 20

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source=pdf_text observed=2026-08-05T11:11:40.054769Z digest=sha256:df7d35342b08c835bb22276120023841ef2166a1bff24b2ba0a02fc065124adf

Observation 0d07192b-0f1f-42da-8449-4cc8a1c711cd · outbound

This paper cites Pan-mamba: Effective pan-sharpening with state space model.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Pan-mamba: Effective pan-sharpening with state space model

Reference 21

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation bfd99dca-4bb8-42a4-85c9-5ffaba5a6216 · outbound

This paper cites Polyp-mamba: A hybrid multi-frequency perception gated selection network for polyp segmentation.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Polyp-mamba: A hybrid multi-frequency perception gated selection network for polyp segmentation

Reference 22

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6245c38b-3fa8-4493-beda-0f600758f50f · outbound

This paper cites Semi-mamba-unet: Pixel-level contrastive and cross-supervised visual mamba-based unet for semi-supervised medical image segmentation.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Semi-mamba-unet: Pixel-level contrastive and cross-supervised visual mamba-based unet for semi-supervised medical image segmentation

Reference 23

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Observation a613a910-704b-4ebb-9b69-fb71d833f739 · outbound

This paper cites Frequency decoupling enhancement and mamba depth extraction-based feature fusion in transformer hashing image retrieval.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Frequency decoupling enhancement and mamba depth extraction-based feature fusion in transformer hashing image retrieval

Reference 24

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.066548Z digest=sha256:2c5d973d9a4b75746a0ea9936e93f19a85e55116b1145176b7aad79c043c4e20

Observation 3753aa41-973d-4714-a96f-bb0cac08247c · outbound

This paper cites TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:11:40.069544Z digest=sha256:19881619187d402034816cb15ea03c593fbf2cce97243b9149c8be8f8c084f3f

Observation 5baa4d25-a78f-4e42-b2ba-63b115407eb2 · outbound

This paper cites Tscmamba: Mamba meets multi-view learning for time series classification.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Tscmamba: Mamba meets multi-view learning for time series classification

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.072523Z digest=sha256:74825071e7c79356c9f7a1ae4aabeb3ab5ba61fe1c0ddc3d38d778dcbd96cb02

Observation 0b8a21d7-7b69-4031-9c41-d9fe9e23cab2 · outbound

This paper cites Mgcn: Mamba-integrated spa- tiotemporal graph convolutional network for long-term traffic forecasting.Knowledge-Based Systems, 309:112875, 2025.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Mgcn: Mamba-integrated spa- tiotemporal graph convolutional network for long-term traffic forecasting.Knowledge-Based Systems, 309:112875, 2025

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.075281Z digest=sha256:e00b03261e862cc947351f2059faf967819a25c4822e81b6b57b8e94070ca04a

Observation 2b19e726-61db-473c-8a4b-2d716171cf02 · outbound

This paper cites St-mambasync: Complement the power of mamba and transformer fusion for less computational cost in spatial–temporal traffic forecasting.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG St-mambasync: Complement the power of mamba and transformer fusion for less computational cost in spatial–temporal traffic forecasting

Reference 28

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raw_fallback, observed 2026-08-05T11:11:40.366938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.078119Z digest=sha256:b6521ce7754b2f31df57e94210c3c73323161ed83cda75fc651982ce91cbe8a7

Observation 2d45cca5-4a81-42d8-a7fe-667f30765d8a · outbound

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

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG ECGMamba: Towards Efficient ECG Classification with BiSSM

Reference 29

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local_arxiv, observed 2026-08-05T11:11:40.184803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.080920Z digest=sha256:edfbc71f254d3a5b960ee2f2e556b7246b775769645c36c3b77c5a51b45f31da

Observation 67a0e92c-63dd-4b51-a716-608978d102b0 · outbound

This paper cites MambaCapsule: Towards Transparent Cardiac Disease Diagnosis with Electrocardiography Using Mamba Capsule Network.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG MambaCapsule: Towards Transparent Cardiac Disease Diagnosis with Electrocardiography Using Mamba Capsule Network

Reference 30

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local_arxiv, observed 2026-08-05T11:11:40.172630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.083815Z digest=sha256:c99c074aa58f9a4f8e2ca83f6bdd86bae899e76b76d50950d4d777f09efd905e

Observation 750c2478-c63f-4bb1-9dd9-e1ba6bf6eed7 · outbound

This paper cites MSECG: Incorporating Mamba for Robust and Efficient ECG Super-Resolution.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG MSECG: Incorporating Mamba for Robust and Efficient ECG Super-Resolution

Reference 31

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local_arxiv, observed 2026-08-05T11:11:40.158683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.086454Z digest=sha256:729e60970cd40c212b368180733eacb0424cb3b9a221b55b29f68f6f156f4e4b

Observation 00f3fb06-c2c3-4cac-aae5-b6c157fb3670 · outbound

This paper cites Mecg-e: Mamba-based ecg enhancer for baseline wander removal.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Mecg-e: Mamba-based ecg enhancer for baseline wander removal

Reference 32

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raw_fallback, observed 2026-08-05T11:11:40.357383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.089109Z digest=sha256:4144fb957ec133e48929d96365e791cd85598f1f15d45186887ffadc01c5e420

Observation 3dda120f-d9bc-40ff-9688-c4cd9e0c82cd · outbound

This paper cites Diagnostic and prognostic value of ambulatory ecg (holter) monitoring in patients with coronary heart disease: a review.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Diagnostic and prognostic value of ambulatory ecg (holter) monitoring in patients with coronary heart disease: a review

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:11:40.347928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.091458Z digest=sha256:f07e3ed47e7492f56c404bdc64157a5bab34d778a8335951c4692d64502f869d

Observation 86c4867c-1d7c-4423-8c6a-05667a6ff675 · outbound

This paper cites Squeeze-and-excitation networks.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Squeeze-and-excitation networks

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T11:11:40.093792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:11:40.093792Z digest=sha256:e512a605642a318e11f94234fc693c7fe4a8507d8ecbebd8984c5e365254e3e0

Observation c419cc9d-e364-4404-8487-a52fc84cb8f1 · outbound

This paper cites Ptb-xl, a large publicly available electrocardiography dataset.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Ptb-xl, a large publicly available electrocardiography dataset

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:11:40.332782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.096945Z digest=sha256:5b56de0040d0a75abdcbd41d9fe817ce3c59771a30d25ced475c05d291b46f71

Observation 467de179-1033-418b-b53f-262c0af495ed · outbound

This paper cites A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:11:40.324663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.099695Z digest=sha256:580f22c5343fc86dbd7e8964668dde4d843d21a476ad19c2d977d79eafebffb9

Observation 9f851436-c413-4403-bc3d-e2894956ecbd · outbound

This paper cites Optimal multi-stage arrhythmia classification approach.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Optimal multi-stage arrhythmia classification approach

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T11:11:40.102411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:11:40.102411Z digest=sha256:a9700885c7784de159f4dcac6bf61d2cd7cba4b2fa8c834d06103b0377fc973b

Observation d2e07cb5-7e16-4c62-b8ef-0ea8b01028e5 · outbound

This paper cites Circular on the issuance of a methodology for ethical review of research in the life sciences and medicine involving human beings, 2023.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Circular on the issuance of a methodology for ethical review of research in the life sciences and medicine involving human beings, 2023

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:11:40.310192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.105105Z digest=sha256:7ba1f8db25ce5b40a0f784d0b148bb635128b65ac6fc5685af9f04561e0feec7

Observation aa56e320-3f53-4398-81e0-fbca59343988 · outbound

This paper cites Notice on further improving the ethical review of life sciences and medical research involving human beings, 2023.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Notice on further improving the ethical review of life sciences and medical research involving human beings, 2023

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:11:40.301162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.107610Z digest=sha256:4fe4b1fa4ec452f5eaf4144b1c99d95997a8cad780751dd527088b43530a1c83

Observation ea02f6c8-e824-41e3-aaa6-a3f245dcc691 · outbound

This paper cites Sigxcl: A signal-image-graph cross-modal contrastive learning framework for cvd diagnosis based on internet of medical things.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Sigxcl: A signal-image-graph cross-modal contrastive learning framework for cvd diagnosis based on internet of medical things

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:11:40.292331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.110112Z digest=sha256:693a5e81f1797a67893e97a39559ee439f942f9658397187df3f5d2d8718f79a

Observation 31f9ee1e-9190-4cb6-94fd-2a904732a76e · outbound

This paper cites aecg-18 series digital electrocardiographs, 2025.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG aecg-18 series digital electrocardiographs, 2025

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:11:40.283150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.113062Z digest=sha256:8c06abe2bb5611786ddea91c64c56c1ef7c65db202e023297bed88e36765f627

Observation 0fcf717a-3e6e-4cc5-8173-00c7656ed6a8 · outbound

This paper cites Ecg beat classification using pca, lda, ica and discrete wavelet transform.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Ecg beat classification using pca, lda, ica and discrete wavelet transform

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:11:40.273859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.115674Z digest=sha256:923ae7c88c8f98d91700fc68cf580e875d61e65f4495ffd239e5da8a2c91e5c4

Observation cf221912-10b7-464d-a3e7-9bd62737cd63 · outbound

This paper cites Pathological q waves in myocardial infarction in patients treated by primary pci.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG Pathological q waves in myocardial infarction in patients treated by primary pci

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:11:40.264457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.118333Z digest=sha256:634a05de98aad26d752cf64af803b5b0b60a1aebc9ccf55f9da0f522b234252e

Observation 5a3ab87d-5114-4930-befa-aa920dbe80fe · outbound

This paper cites The pivotal role of ecg in cardiomyopathies.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG The pivotal role of ecg in cardiomyopathies

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:11:40.255851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.120806Z digest=sha256:bf3d6db01ef4a5e7730d8785f33cf6c9fbf4c5dfe16bb8b6c0898ed41268005d

Observation db9598cd-0f2b-46a4-956c-6e5fc8c866ab · outbound

This paper cites A deep learning approach to on-node sensor data analytics for mobile or wearable devices.

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG A deep learning approach to on-node sensor data analytics for mobile or wearable devices

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:11:40.246924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:11:40.123751Z digest=sha256:72360dc30112dfd79ec21366ac3ed35af1f8dcadf5494cf3740c61ec9403a0cf

Pith citing papers

No inbound Pith citation observations are available.