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Paper Citation Record · LEDGER

ECGMamba: Towards Efficient ECG Classification with BiSSM

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.10098.

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

pith.paper-citation-record.v1
2406.10098 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:52:55.298870Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:11:40.181538Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 151f0050-dd8b-49bd-9775-5e011d37d2fe · inbound

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture cites this paper.

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture ECGMamba: Towards Efficient ECG Classification with BiSSM

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T15:52:55.298870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:52:55.298870Z digest=sha256:8ad8b8b4f49f18333d944e129ecbcd17e183209a486b338f0b61eebb0a9d7e80

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

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

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

Reference 29

Resolution
verified exact
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T11:11:40.080920Z digest=sha256:74c3086638856e33ad85a21d46fa6ed0fbbb8b7bf2f02a6a646101d8a7e77658