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Paper Citation Record · LEDGER

EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.20254.

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

pith.paper-citation-record.v1
2407.20254 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:05:32.874357Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T11:54:38.378808Z

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 254b95d4-e8a6-4933-9588-179b1f213715 · inbound

Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks cites this paper.

Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-04T10:05:32.874357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:05:32.874357Z digest=sha256:0f69493d3329d1764d3dc87f0f0b46abafd8f1fdf651d4b9f58e1aadf929f0aa

Observation 1d2aa622-c644-47d0-826f-b241f1eb94d1 · inbound

Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models cites this paper.

Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:38:15.896657Z

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=2026-05-16T18:36:15.215231Z digest=sha256:f75aa7a5bc79e114faba2b1968ed10020e9d3a9690094739e13956269a3b67f3

Observation d48315d2-67f2-43cf-9b07-a391adcc2b07 · inbound

Pretraining on Sleep Data Improves non-Sleep Biosignal Tasks cites this paper.

Pretraining on Sleep Data Improves non-Sleep Biosignal Tasks EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T05:55:29.552045Z

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=arxiv_source observed=2026-05-08T19:24:48.280827Z digest=sha256:9268eb736511feb3457ce0900e52bd28a336bba80d393980e234d883bff4ee11

Observation 47c2ca74-17d5-4b77-9d93-b687a4cda25d · inbound

MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification cites this paper.

MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T11:54:38.380194Z

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=2026-06-30T11:50:09.167866Z digest=sha256:ca5c733a0f0aa4c772f56ecc90fb7966885882381eb9f28897663c84be7ab71b