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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-18T06:34:40.430872+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

45 of 45 outbound references displayed

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  • verified fuzzy31
  • unresolved11
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  • malformed identifier0
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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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Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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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source=pdf_text observed=2026-08-05T11:11:40.007094Z digest=sha256:61284ee1eef33027f0a1914f8e9472ffd6347f0a2bd5635b648878d1749ceee0

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:d14e884663175930b11df4f11b5aee9a731a9ad42d0aea213f1089ee063241b5

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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.025278Z digest=sha256:5ce57809133fbd24eadc4d3d578cd3bf3d35c6f5bc60481172410252415ba882

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.028148Z digest=sha256:6c939978acf4049896cc59336785cef11bdb1c8d6f6b23de385c40e02d2d1d6c

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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.039692Z digest=sha256:98274b9f9e30ddb69ed2f4a449e13de8199030f75f80e14cbdfab661556e02a9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.042216Z digest=sha256:f5b8a3b6692d4a684a9da9da711b5cc15600f4c188bae8de21dd1b9bbed7894c

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:11:40.045581Z digest=sha256:09e7e8ffa2842165840ba589628bf2ff5fcd97020f30a6aec4dc3d3ba3fb0801

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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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:ceb52208c8266c40555f3d44405287d602a49d681d69365a310db8f219d92696

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=sha256:720715e575edea94ed4d5673c66b78141da8468543ef7086ee0e58df874312e4

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.063879Z digest=sha256:2f44798cfe40fc529703defd9786d4a85faf63d1a6dcef510edef9471c7ad06d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.066548Z digest=sha256:c5e11fd5c0555a3187377daab13c3d369d545867881f5bd5752f8efcba6c2c27

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=sha256:1b859768f2add83652ef8fbf0b540f56d853c64a62632633ee46f8cb81683e01

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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raw_fallback, observed 2026-08-05T11:11:40.384528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.072523Z digest=sha256:82554aab4e190e71c48c071385a4f8c30673f76508e5474de2564f800436e894

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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raw_fallback, observed 2026-08-05T11:11:40.376048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.075281Z digest=sha256:c5e64c1b7f5845af338ba3ab486c7d418fff72c61dc28ca424cb601a595f2109

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.078119Z digest=sha256:a00fc798d7bc7bc0cfbb11511a8d5524ceb4e2e016b7b9d16e0a7b9e4cf937db

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.080920Z digest=sha256:583b8cc719265f39325d00f664105d88358d2897225d55972adb07fa9adef921

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.083815Z digest=sha256:afe22f7895ee01cf6907961640b2c4529956581e0fad63a4a6afe24107dc2037

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.086454Z digest=sha256:cb3956c3b6f3e52cce553a0df37282e2f9760b1282c70d95d1fe9c3ff6d8282e

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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verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.089109Z digest=sha256:a387b188476973bb09104952a037a8d684353d0b8c6a66254403da01df372403

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.091458Z digest=sha256:d218792f7fb6a7b81ec9a659dae7b82ab58c9a9d89db0e1909955d5e77799801

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:b60304dda22f5198bb9f2d3d332d644f8b76fb162a5acdc69582e5f1d9135656

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.096945Z digest=sha256:c672d788cd42e6cd3c1ab7bc50a183b3cfc845fe12f79572d419f3af2766ea27

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.099695Z digest=sha256:0508316b8f51cd0b32c2f92cc1ce4ba8143b436d4a239168c545f24b068ad140

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:ae7419ed322fbe4b328541953e540a9bfdeb24ae7681fed381c247526951109f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.105105Z digest=sha256:02d89224f016e1050ca3d4a5dd2d056a16b8312d7c33cccb0de78c659191c806

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.107610Z digest=sha256:0fda8887842646842cdbc604f0cb9baf322f33dab35fdb818ae7df269a14a4e9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.110112Z digest=sha256:607f3783070b4caf441a068536ed395350288ef373235449038fa6522dd3ba89

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.113062Z digest=sha256:8f85a796e578a342cb5c4c02f87d5c1aeb1d01e2beaf2e02c27bb07b4844784b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.115674Z digest=sha256:a6238facd013617141eaf746422e460f05017c5c62fff14a18d786837e22926f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.118333Z digest=sha256:3f69c57f387c02a59dd795c9caf9b0c8bd9e8390932265f91b471ac6a560e55b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.120806Z digest=sha256:6d60dd584cc37fc61671872d2ec09078aee4bc647799fde4ae22a40d6a06aca9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T11:11:40.123751Z digest=sha256:a75fa81acceff23a5e6ca8600ca1a2d36997743c097fbd23a0a0b7b54fab4363

Pith citing papers

No inbound Pith citation observations are available.