Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2606.26506.

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

pith.paper-citation-record.v1
2606.26506 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T04:23:30.113867Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

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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

33 of 33 outbound references displayed

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External citation measurements

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Outbound references

Observation 9bfc6228-4f19-4e9d-ad6d-c92b57ce67fc · outbound

This paper cites an unresolved cited work.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Unresolved cited work

Reference 1

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Observation 4c7dad12-c840-45ca-987a-b27bff59d275 · outbound

This paper cites The memory function of sleep,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation The memory function of sleep,

Reference 2

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Observation d6b99dc6-d8ee-4581-a9ed-f2547b201fb7 · outbound

This paper cites The global problem of insufficient sleep and its serious public health implications,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation The global problem of insufficient sleep and its serious public health implications,

Reference 3

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Observation 99d6e2c2-c48d-4c0f-921e-9dd6a7e42598 · outbound

This paper cites A meta-analysis of the impact of short-term sleep deprivation on cognitive variables,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation A meta-analysis of the impact of short-term sleep deprivation on cognitive variables,

Reference 4

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Observation 6c9e603b-6706-4a76-b6c6-88f50adcc72a · outbound

This paper cites Effects of sleep deprivation on cognition,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Effects of sleep deprivation on cognition,

Reference 5

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This paper cites an unresolved cited work.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Unresolved cited work

Reference 6

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Observation 7f651162-56b6-40a6-885e-d40497e78e01 · outbound

This paper cites The two- process model of sleep regulation: A reappraisal,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation The two- process model of sleep regulation: A reappraisal,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T04:23:30.113867Z

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Observation 9504e12e-ef8e-4e7d-ab86-6820803f221b · outbound

This paper cites EEG differences between eyes-closed and eyes-open resting conditions,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation EEG differences between eyes-closed and eyes-open resting conditions,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T04:23:30.113867Z

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Observation c99150ec-9e34-4826-b5a4-e00e8e50f91d · outbound

This paper cites Effect of total sleep deprivation on reaction time and waking EEG activity in man,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Effect of total sleep deprivation on reaction time and waking EEG activity in man,

Reference 9

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Observation 79531eff-08a1-44c9-b284-8d9149bf8b20 · outbound

This paper cites Alpha rhythm changes after sleep deprivation: Periodic and aperiodic contributions,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Alpha rhythm changes after sleep deprivation: Periodic and aperiodic contributions,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T04:23:30.113867Z

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Observation 2870a1e0-76f0-43bf-abb3-aebdb29534c6 · outbound

This paper cites Aperiodic and periodic EEG changes after sleep deprivation,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Aperiodic and periodic EEG changes after sleep deprivation,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T04:23:30.113867Z

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Observation b839c3a3-74d6-42cc-8eb6-a81087fa7965 · outbound

This paper cites A comparative review on sleep stage classification methods in patients and healthy individuals,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation A comparative review on sleep stage classification methods in patients and healthy individuals,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T04:23:30.113867Z

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Observation 859e1df4-c467-47e9-b3f1-4ada256ab992 · outbound

This paper cites Sleep stage classification using EEG signal analysis: A compre- hensive survey and new investigation,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Sleep stage classification using EEG signal analysis: A compre- hensive survey and new investigation,

Reference 13

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Observation ea65066e-e870-428f-95b3-e269b3f3f2d1 · outbound

This paper cites Deep learning for electroen- cephalogram (EEG) classification tasks: A review,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Deep learning for electroen- cephalogram (EEG) classification tasks: A review,

Reference 14

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Observation f909f805-b935-42f4-8209-d75db8b04d5b · outbound

This paper cites EEGNet: A compact convolutional neural network for EEG-based brain-computer interfaces,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation EEGNet: A compact convolutional neural network for EEG-based brain-computer interfaces,

Reference 15

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Observation 7a2772f0-2ba2-455c-92d5-3a3703e222a1 · outbound

This paper cites Deep learning with convolutional neural networks for EEG decoding and visualization,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Deep learning with convolutional neural networks for EEG decoding and visualization,

Reference 16

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Observation 5761e151-9a1b-48f8-b500-23da36cc6515 · outbound

This paper cites Benchmarking deep learning architectures for EEG-based brain-computer interfaces,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Benchmarking deep learning architectures for EEG-based brain-computer interfaces,

Reference 17

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Observation 88aa5997-80b5-4081-91d7-c73adf6a3b36 · outbound

This paper cites Squeeze-and-excitation networks,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Squeeze-and-excitation networks,

Reference 18

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Observation 7746350c-dfe6-4348-af5a-eaa48d423e02 · outbound

This paper cites Multi-scale CNN with squeeze-and-excitation block for EEG-based motor imagery classification,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Multi-scale CNN with squeeze-and-excitation block for EEG-based motor imagery classification,

Reference 19

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Observation 176130b0-3688-4aa4-be0f-7f732540e68f · outbound

This paper cites Attention-enhanced convolutional neural networks for EEG-based brain-computer interfaces,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Attention-enhanced convolutional neural networks for EEG-based brain-computer interfaces,

Reference 20

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Observation 9e8f917f-454f-480e-9050-a68847bc7ed5 · outbound

This paper cites Learning representa- tions from EEG with deep recurrent-convolutional neural networks,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Learning representa- tions from EEG with deep recurrent-convolutional neural networks,

Reference 21

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This paper cites EEG-to-image: A survey on deep learning approaches for visual EEG representation,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation EEG-to-image: A survey on deep learning approaches for visual EEG representation,

Reference 22

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Observation 9c9a230c-69d7-4570-8601-891da17a0e41 · outbound

This paper cites Deep learning for sleep deprivation detection from EEG signals: A systematic review,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Deep learning for sleep deprivation detection from EEG signals: A systematic review,

Reference 23

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This paper cites Lightweight deep learning for sleep staging: A compre- hensive survey,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Lightweight deep learning for sleep staging: A compre- hensive survey,

Reference 24

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This paper cites Transfer learning for cross-subject EEG classification: A review,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Transfer learning for cross-subject EEG classification: A review,

Reference 25

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This paper cites Inter-and intra-subject vari- ability in eeg: A systematic survey.arXiv preprint arXiv:2602.01019.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Inter-and intra-subject vari- ability in eeg: A systematic survey.arXiv preprint arXiv:2602.01019

Reference 26

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

This paper cites EEG-SSM: Leveraging State-Space Model for Dementia Detection.

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

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TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation EEG-Titans: Long-horizon seizure fore- casting via dual-branch attention and neural memory,

Reference 28

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Observation 18349765-f3a5-402a-b115-e04ed87a16f5 · outbound

This paper cites DeepSleepNet: A model for automatic sleep stage scoring based on raw single-channel EEG,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation DeepSleepNet: A model for automatic sleep stage scoring based on raw single-channel EEG,

Reference 29

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This paper cites U-Sleep: Resilient high-frequency sleep staging,.

TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation U-Sleep: Resilient high-frequency sleep staging,

Reference 30

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TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 31

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TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Deep residual learning for image recognition,

Reference 32

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TinyCNNDeep: Lightweight Attention-Based CNN for EEG Classification of Eye States and Sleep Deprivation Adam: A method for stochastic optimization,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-26T04:23:30.113867Z

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Pith citing papers

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