Paper Citation Record · LEDGER

EEG-SSM: Leveraging State-Space Model for Dementia Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.17801.

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

pith.paper-citation-record.v1
2407.17801 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:54:51.731803Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:09:53.906783Z

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 5fbc2165-abba-44b5-866c-180465672a30 · inbound

CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model cites this paper.

CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model EEG-SSM: Leveraging State-Space Model for Dementia Detection

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:17:16.343073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a43c2f66-ef73-4836-9efe-dd675902c3ac · inbound

Quantizing Small-Scale State-Space Models for Edge AI cites this paper.

Quantizing Small-Scale State-Space Models for Edge AI EEG-SSM: Leveraging State-Space Model for Dementia Detection

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:54:51.731803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57b9ffba-0bf4-4ade-a046-9d15783f8552 · inbound

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals cites this paper.

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals EEG-SSM: Leveraging State-Space Model for Dementia Detection

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-04T09:27:11.329389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4b70aca-1ca7-499c-8e4e-6a8f4aa473ff · inbound

Modality vs. Morphology: A Framework for Time Series Classification for Biological Signals cites this paper.

Modality vs. Morphology: A Framework for Time Series Classification for Biological Signals EEG-SSM: Leveraging State-Space Model for Dementia Detection

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:23:16.826954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 10ec1837-9e26-4554-8a8e-dc1b183396f1 · inbound

Cross-Subject Intracranial EEG Reconstruction from Scalp Recordings Using Multi-Scale Cross-Attention Transformers cites this paper.

Cross-Subject Intracranial EEG Reconstruction from Scalp Recordings Using Multi-Scale Cross-Attention Transformers EEG-SSM: Leveraging State-Space Model for Dementia Detection

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:23:29.137870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c03264a4-09d2-4984-86a5-2fabcbd5f3be · inbound

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation cites this paper.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation EEG-SSM: Leveraging State-Space Model for Dementia Detection

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:09:53.908192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.