Paper Citation Record · LEDGER

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis

As of 22 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2605.15433.

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

pith.paper-citation-record.v1
2605.15433 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T20:55:49.455759Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

27 of 27 outbound references displayed

verified exact6
verified fuzzy20
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96b8781e-a80d-48c3-84a8-24d0f2dd4386 · outbound

This paper cites Simplified welch algorithm for spectrum monitoring.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Simplified welch algorithm for spectrum monitoring

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.786121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fbd38648-3161-47c2-9602-e5e7e3a091b0 · outbound

This paper cites Nearest neighbors in high-dimensional data: The emergence and influence of hubs.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Nearest neighbors in high-dimensional data: The emergence and influence of hubs

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.768522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4d8fa0f8-9b4a-48ff-a3f5-0a277f3de157 · outbound

This paper cites Linear and Quadratic Discriminant Analysis: Tutorial.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Linear and Quadratic Discriminant Analysis: Tutorial

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:35:46.797609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0bd63b1a-fb00-4a69-a27d-b3970273a5a1 · outbound

This paper cites Medformer: A multi-granularity patching transformer for medical time-series classification.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Medformer: A multi-granularity patching transformer for medical time-series classification

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.771987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4689c8e2-f5a7-43b3-970c-9fda59184473 · outbound

This paper cites Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.755567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1899a56b-d117-4f0e-80e3-e3865ffd8905 · outbound

This paper cites STL: A seasonal-trend decomposition.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis STL: A seasonal-trend decomposition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.781936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 55fdfb0f-7fbd-49ca-9d8f-f858df48c297 · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.780680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1ef4e6f4-2a3c-4bc7-a5b2-e2a8aaea3ebb · outbound

This paper cites Reformer: The Efficient Transformer.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Reformer: The Efficient Transformer

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:35:46.794988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d2a542ef-3035-473c-aca4-eda262d3098f · outbound

This paper cites Analysis of electroencephalograms in alzheimer’s disease patients with multiscale entropy.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Analysis of electroencephalograms in alzheimer’s disease patients with multiscale entropy

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.777899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bce587f6-9638-4a32-8a3c-5a54e361714a · outbound

This paper cites The two decades brainclinics research archive for insights in neurophysiology (tdbrain) database.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis The two decades brainclinics research archive for insights in neurophysiology (tdbrain) database

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.746755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 78a3efeb-cbac-4470-a1f0-eda5afaed955 · outbound

This paper cites A dataset of scalp eeg recordings of alzheimer’s disease, frontotemporal dementia and healthy subjects from routine eeg.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis A dataset of scalp eeg recordings of alzheimer’s disease, frontotemporal dementia and healthy subjects from routine eeg

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.792685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d88f6d3d-6489-46c9-a214-9652e7f0bca9 · outbound

This paper cites Windowing Techniques, the welch method for improvement of Power Spectrum Estimation.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Windowing Techniques, the welch method for improvement of Power Spectrum Estimation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.724309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bc9362d9-25ba-4506-9832-68c18b775fdc · outbound

This paper cites Optimization of the.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Optimization of the

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T21:05:03.310033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 97b8de84-dc9d-41c0-8bf8-0eb520155655 · outbound

This paper cites Selective cross-subject transfer learning based on riemannian tangent space for motor imagery brain-computer interface.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Selective cross-subject transfer learning based on riemannian tangent space for motor imagery brain-computer interface

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.759425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 56f1384a-e49d-4507-b948-30402d6b3827 · outbound

This paper cites Cross-dataset variability problem in EEG decoding with deep learning.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Cross-dataset variability problem in EEG decoding with deep learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.732497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 39e19104-e5fc-4396-9a92-2343d8bb27a1 · outbound

This paper cites Adaptive deep feature representation learning for cross-subject EEG decoding.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Adaptive deep feature representation learning for cross-subject EEG decoding

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.737116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 655cde61-0210-4e55-b46d-c3b711da84b3 · outbound

This paper cites ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.742335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3637db0f-923c-4d0f-ae05-85285f521a91 · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:35:46.792569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b86b6b0c-e4c0-469c-b89b-271e076a8dc7 · outbound

This paper cites Systematic review on resting-state EEG for Alzheimer’s disease diagnosis and progression assessment.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Systematic review on resting-state EEG for Alzheimer’s disease diagnosis and progression assessment

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.751628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a0ec62bf-f10c-4570-999d-45f13bc7ce35 · outbound

This paper cites A dementia classification framework using frequency and time-frequency features based on EEG signals.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis A dementia classification framework using frequency and time-frequency features based on EEG signals

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.763747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b52d0abd-7571-4bf6-9723-6a5bd62dfa31 · outbound

This paper cites EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:05:03.303474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b883edcb-2141-400f-9182-968b5611b430 · outbound

This paper cites Classification of EEG signals using Transformer based deep learning and ensemble models.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Classification of EEG signals using Transformer based deep learning and ensemble models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.719452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c716bd9e-d192-4f99-b28d-053a3679fe05 · outbound

This paper cites A Hybrid Approach to Attention Deficit Hyperactivity Disorder Detection Leveraging Transformer and XGBoost Models Using XSparseFormerNet.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis A Hybrid Approach to Attention Deficit Hyperactivity Disorder Detection Leveraging Transformer and XGBoost Models Using XSparseFormerNet

Reference 24

Resolution: verified exact; doi, observed 2026-06-30T21:05:03.306019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f4f3309-ca4b-455c-b68e-251a9acf94f9 · outbound

This paper cites Gamma oscillations in the hyperkinetic state detected with chronic human brain recordings in Parkinson’s disease.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Gamma oscillations in the hyperkinetic state detected with chronic human brain recordings in Parkinson’s disease

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.726868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e9f260f5-a2b4-4807-bf1f-7417a99b26ec · outbound

This paper cites High delta and gamma EEG power in resting state characterise dementia in Parkinson’s patients.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis High delta and gamma EEG power in resting state characterise dementia in Parkinson’s patients

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.775138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dc4dd367-11d3-45ba-9e91-f32e1427432e · outbound

This paper cites EEG data for ADHD / Control children.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis EEG data for ADHD / Control children

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T18:44:06.714663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8becba78-3e01-4291-a761-54ec8bb6c8d8 · outbound

This paper cites Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:35:46.800728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.