Paper Citation Record · LEDGER

The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.15319.

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

pith.paper-citation-record.v1
2404.15319 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:56:06.430123Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

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 0b59ea6c-313e-4dbe-8307-23f32050f240 · inbound

Rethinking Generalized BCIs: Benchmarking 340,000+ Unique Algorithmic Configurations for EEG Mental Command Decoding cites this paper.

Rethinking Generalized BCIs: Benchmarking 340,000+ Unique Algorithmic Configurations for EEG Mental Command Decoding The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T18:56:06.430123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 214b2f33-4580-42fb-8ef3-f77ee003bb26 · inbound

FedSPDnet: Geometry-Aware Federated Deep Learning with SPDnet cites this paper.

FedSPDnet: Geometry-Aware Federated Deep Learning with SPDnet The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:11:11.203176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1ec5427a-cf63-4a3e-a380-1744e58e4283 · inbound

DANCE: Detect and Classify Events in EEG cites this paper.

DANCE: Detect and Classify Events in EEG The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:36:24.674037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 081aba63-880c-4f7a-97d0-e456b3436fcf · inbound

Average Rankings Mask Per-Subject Optimality: A Friedman-Nemenyi Benchmark of EEG Motor-Imagery BCI Decoders cites this paper.

Average Rankings Mask Per-Subject Optimality: A Friedman-Nemenyi Benchmark of EEG Motor-Imagery BCI Decoders The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:00:01.577989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d8b2d27f-c5f5-4798-8314-9da500a46f92 · inbound

Stacked LoRA for Subject-Adaptive EEG Foundation Models in Motor Imagery Decoding cites this paper.

Stacked LoRA for Subject-Adaptive EEG Foundation Models in Motor Imagery Decoding The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T04:57:58.988483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05a87f77-cd09-4f92-bbc3-b84cf7f5e192 · inbound

Riemannian Geometry for Pre-trained Language Model Embeddings cites this paper.

Riemannian Geometry for Pre-trained Language Model Embeddings The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-09T21:16:34.057461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4865739d-1c32-40e6-aee8-8b2ff304c661 · inbound

Quantifying Event-Related (De)Synchronization Variability for Brain-Computer Interface: A Unified and Interpretable Framework cites this paper.

Quantifying Event-Related (De)Synchronization Variability for Brain-Computer Interface: A Unified and Interpretable Framework The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T08:27:18.045903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6a7dc5a-657a-4831-9253-91a76047a8d6 · inbound

Subject-Level Heterogeneity in EEG Motor Imagery Decoding: A Large-Scale Benchmark and Portfolio-Based Reduction of the Search Space cites this paper.

Subject-Level Heterogeneity in EEG Motor Imagery Decoding: A Large-Scale Benchmark and Portfolio-Based Reduction of the Search Space The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T05:50:07.794898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.