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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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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source=pdf_text observed=2026-08-05T11:11:40.004141Z digest=sha256:6ccec776a02e52c8746d3bb913760b3f8d62b54c7daaaa1e05f3a2b7c8975b27

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:a519a24c1c2d6316b1f0e461a700a3fc8ef708637bf5c3b1c9629227aa73ef24

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:f61e7b1c337ec397d61c7e4b100628c9bc411cf5f9f5107877f4f0c0bed56503

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 2026-08-06T06:34:29.942622+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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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.019757Z digest=sha256:8ba4048612d6df0e5a3de7ae262c973d45a2afee4c53e399254488c24ff40dc0

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.022619Z digest=sha256:ed5c52573e33479efce729b5a9716e69a95c5fdf8fbdf4aaa009af2efab45ddc

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.025278Z digest=sha256:f5bdd14a194f8e250b93f34f0837e5d24d12bc67f31d17bbc076313f374b5408

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.028148Z digest=sha256:9b050089e907658fbea96d5da8a048c03d79a58f13dbd8246397e1f00d7c3b00

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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.034047Z digest=sha256:304d7576b0dad20f3cad587855f3a7828b0a74751671e61587133c6b2e647287

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.036771Z digest=sha256:4a60d8d5e330a085b1974293ee778b96f8ee414c1eb2affc06fd5749bf69890a

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.039692Z digest=sha256:aeb18a532fb5a40baf2a81a4361894445998e1ac803c703634325e91be48218b

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.042216Z digest=sha256:0e10093bfe1c9561e5e294c2600d2bd7e26efed4eb304284bb234862b29d1628

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=sha256:168baa72020bb22dea1478b4436818ba77d11a2246e1a5932d97c78f2c95fd68

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:bd5af03bdfcf9806f8dd2bcf41867d307ddc3af028c0d4b4051f525a48ec6cee

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:b047772bcffd92a16f598cf33c243101cd81c44f881b9212dad55d43c59de1f5

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=sha256:229c755386571481743f7d64bfba39e4eed28a378049da4971ecfa09810a2a94

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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.063879Z digest=sha256:cda967d13489c0814eff2f3f9e2cc5bff34b89f9ec1140ecc6cb3d0df319d535

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.066548Z digest=sha256:2f69b3bf38b63477e008eee7dd246027abc9f6ed2734f70fd83308cd924037b0

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:b3d326953518cdfbaa41471c85ad15ee4ad5dfc4ad9fa07fdcd15373d6277852

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.072523Z digest=sha256:cc47af0120ce0000e8f9fda610e7686d2e2532998cc7fc382f530f9a97697bef

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.075281Z digest=sha256:6ea683f1f56ba247f530f41a6c59ae7e135bfe9dafe149d5372364e7d5998ea8

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.078119Z digest=sha256:4f13d7b70dc9cf6eb3cbd7f4fcf7cfaab1ec46e2d23729613308c359ef03145d

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.080920Z digest=sha256:24aec5d4fcad7adecd9810aec5b5d992db0d3fe5b7386a152af03156b639a39a

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.083815Z digest=sha256:8a7d473446d9505dd4ca7255d1aa6d4f47550fb632aff20bc76c549c074a40bd

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.086454Z digest=sha256:c4145a58eeb589ddf14f5ec98ebf296d408f49b238854d14f39d810676107b05

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.089109Z digest=sha256:bacfb9a5ee95c4fc60582be5f127b469ee8f4087c47cae9e67feccbc11550658

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.091458Z digest=sha256:b006a24a922f1b059c330ad0035a3ee6e9804772bd89ce9d597c5b0396464708

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=sha256:0c8cb553e8ca671d42795db5ebbf267a36945d01dda06d28eac011bef41c295c

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.096945Z digest=sha256:01f829787c4349fe751c10405926a6d0841afd1c0438a85a242470b9e040f05d

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.099695Z digest=sha256:9e383d0f181a91f697365632818212eef0b3a0ecbf9b9c7fde68897868c75109

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=sha256:4b3a484ca80cb3c745528c1856db3450792da4c4d1230b7dee773c72111ab30a

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.105105Z digest=sha256:ade744931bf0539fd73544909231823b6662dda81590b7739c58857b666e4440

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.107610Z digest=sha256:632408d3b9dae1d5c1464eb6f0c52865835cb15842d296011e26a495e6c43656

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.110112Z digest=sha256:c54db1c7f4097d544b62805c49d8cfd81d5c3b694e52fd49fd9eed8989b1c317

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.113062Z digest=sha256:80983796c574bede590c4f8813bfc49aa32489ab9618f7a5396464f56640256e

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.115674Z digest=sha256:f1a253a9abbcd8d8af8f60a8d2d0ec9498fee46fd0428f962c5046cd7d897cb6

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.118333Z digest=sha256:79a427edbb738eaf57fee5cd43a9e39b54c15c0f115c94fc7ad2248a8df45f28

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.120806Z digest=sha256:e5653fe683039599a03b474341510cdb7acc971fa27ed24d09c6f77f78aa2ffa

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T11:11:40.123751Z digest=sha256:1b8adeea7ef11935f9369962b0cc7da9f9fa386b77a230129c6113c524727e94

Pith citing papers

No inbound Pith citation observations are available.