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Paper Citation Record · LEDGER

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.16296.

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

pith.paper-citation-record.v1
2607.16296 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:57:39.997923Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5f0e3b9-cbd5-42de-bc51-b5ee7e462a00 · outbound

This paper cites Quantizing deep convolutional networks for efficient inference: A whitepaper.

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 6

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no resolver link, observed 2026-08-02T06:57:39.246323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:57:39.246323Z digest=sha256:90b0230b53d1a0f9b1c653514c63d334bd26d9c7b536db07d5d636cecbaf7f18

Observation 0699c07e-fb1c-4530-a0ec-3260386cc7c7 · outbound

This paper cites SHAP-AAD: DeepSHAP-Guided Channel Reduction for EEG Auditory Attention Detection.

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks SHAP-AAD: DeepSHAP-Guided Channel Reduction for EEG Auditory Attention Detection

Reference 8

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no resolver link, observed 2026-08-02T06:57:39.485727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:57:39.485727Z digest=sha256:401fe2b2aaa45a0168028ce25c2c845ce4210a081ba7d2c82f4fdc58ba8664d7

Observation bf247f8c-c0f9-43c1-8db9-856807e78a96 · outbound

This paper cites Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention.

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention

Reference 9

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unresolved
no resolver link, observed 2026-08-02T06:57:39.597861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:57:39.597861Z digest=sha256:7fc5f433a569b1a9b2dbc1813ae469e6c2587acebe67ff3f22df5bee5694f74f

Observation 11b0e2f5-d613-485b-81b8-8c506a345625 · outbound

This paper cites Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks.

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks Pruning with Compensation: Efficient Channel Pruning for Deep Convolutional Neural Networks

Reference 11

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no resolver link, observed 2026-08-02T06:57:39.795753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:57:39.795753Z digest=sha256:95c7742c8e0cd4f4a500d086f180eb48eb2b0ee91ece247d0772076dc8e02064

Observation 0bf62d11-22e9-4b53-9004-2f239fe0d07d · outbound

This paper cites SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression.

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression

Reference 12

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no resolver link, observed 2026-08-02T06:57:39.854675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:57:39.854675Z digest=sha256:0489a084d45cdbfaf07c06fd986573be24a6411a2a1a7a65835266431b8fd483

Observation 774adef6-60fa-435c-aa10-8a4599fa7de4 · outbound

This paper cites A White Paper on Neural Network Quantization.

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks A White Paper on Neural Network Quantization

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T06:57:39.997923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:57:39.997923Z digest=sha256:21c7a80059fdb4e741a9e69683807d6867f4a0af8b0c64aff034ba45e3049354

Observation fe16a7b6-67d7-4809-a2c6-839c558b3395 · outbound

This paper cites A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices.

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices

Reference 2010

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no resolver link, observed 2026-08-02T06:57:38.743636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:57:38.743636Z digest=sha256:b4b1dd1b43374b6ce3c76e0fa23ed3d2fb48b532623959e96079d35aabd1a755

Observation 3c3cbe49-3751-4064-9ac4-7c526d9d93fa · outbound

This paper cites Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation.

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation

Reference 2018

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no resolver link, observed 2026-08-02T06:57:39.362250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:57:39.362250Z digest=sha256:8fa730e00d1aa0dfae23b94532446cb85941c923b8119681081d6b3aa1bd8b37

Observation 86a31d7d-874b-4d57-be62-4eba8b5b6071 · outbound

This paper cites Going Deeper in Spiking Neural Networks: VGG and Residual Architectures.

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

Reference 2019

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no resolver link, observed 2026-08-02T06:57:39.706667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:57:39.706667Z digest=sha256:67e0fc4836f459a48c4362fa29102e49e0d699ded5106833393a3fdb1da8a28d

Observation 0930ec58-aff5-4aaa-a6de-5fd2e82fb66d · outbound

This paper cites An efficient deep learning system for epileptic seizure prediction.

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks An efficient deep learning system for epileptic seizure prediction

Reference 2020

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no resolver link, observed 2026-08-02T06:57:38.835879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:57:38.835879Z digest=sha256:a6c9131869e8139f553193c502b7c6ad5401591d4b750af143430e74a44e7db0

Observation dc82b61e-2149-4076-bf05-73418172c21f · outbound

This paper cites Slimseiz: Efficient channel-adaptive seizure prediction using a mamba-enhanced network.

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks Slimseiz: Efficient channel-adaptive seizure prediction using a mamba-enhanced network

Reference 2021

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no resolver link, observed 2026-08-02T06:57:38.917191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:57:38.917191Z digest=sha256:6a3c2d9bd6eb842951aceb188f4c9825a6105d49beed81aa77c9caeb44d09967

Observation 100a379f-e59f-4a90-a9c8-c3ee901e8b17 · outbound

This paper cites Norse: A deep learning library for spiking neural networks.

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks Norse: A deep learning library for spiking neural networks

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-02T06:57:39.915520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:57:39.915520Z digest=sha256:50e81cfbcb89ab66bb9ac4e3245f4b383c038cfa3fd3b6db94284c76004e9a43

Observation f4e8312d-7359-43ed-9f54-7e1d5e7c77e2 · outbound

This paper cites QP-SNN: Quantized and Pruned Spiking Neural Networks.

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks QP-SNN: Quantized and Pruned Spiking Neural Networks

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T06:57:39.098683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:57:39.098683Z digest=sha256:bb66e0109064bb8b7e33010236946fd37f40d9f7b2872b67e4f6877144ba0855

Observation 55a62504-cd07-42de-bc11-0d94bc0c163e · outbound

This paper cites URLhttp://dx.doi.org/10.1109/ISCAS56072.2025.11043364.

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks URLhttp://dx.doi.org/10.1109/ISCAS56072.2025.11043364

Reference 2025

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unresolved
no resolver link, observed 2026-08-02T06:57:39.014954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:57:39.014954Z digest=sha256:c7a05c79356ec9ef055dc28fa667a52479d85027b0f21479fd9c84e1e690813d

Pith citing papers

No inbound Pith citation observations are available.