Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2506.11179.

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

pith.paper-citation-record.v1
2506.11179 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:24:28.139629Z

measured 16 of 16 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:57:39.597861Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy15
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e21cc0a9-6fa6-46e9-bf96-86ba0c65c102 · outbound

This paper cites Neural Computing and Applica- tions37(1), 5381–5395 (2025).

Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention Neural Computing and Applica- tions37(1), 5381–5395 (2025)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.330433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1b31da51-7764-4ca3-a8a8-860a607a9c5e · outbound

This paper cites In: International Conference on Advanced Intelligent Systems and Informatics.

Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention In: International Conference on Advanced Intelligent Systems and Informatics

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.320509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7bf1cb03-dc5c-457d-83dc-0de864fa6986 · outbound

This paper cites Oxford University Press (2016).

Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention Oxford University Press (2016)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.310518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1fdbabd7-6225-4ac5-a61b-c7ec7000767a · outbound

This paper cites Journal of neural engineering16(3), 031001 (2019).

Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention Journal of neural engineering16(3), 031001 (2019)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.300727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6a9098b4-1b63-42e6-82ba-d638ad4b11a6 · outbound

This paper cites Biomedical Signal Processing and Control80, 104243 (2023).

Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention Biomedical Signal Processing and Control80, 104243 (2023)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.289784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cb88a1ca-65f3-4333-8a07-91effdc3f9bc · outbound

This paper cites Knowledge-Based Systems238, 107761 (2022) 8 M.

Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention Knowledge-Based Systems238, 107761 (2022) 8 M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.278980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 32155a7c-8b21-4086-a95d-8ee6754470eb · outbound

This paper cites IEEE Transactions on Affective Computing3(1), 18–31 (2012).

Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention IEEE Transactions on Affective Computing3(1), 18–31 (2012)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.267721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cdf2c0c6-4349-4769-a8ab-d8a4cda16b39 · outbound

This paper cites Scientific Reports14(1), 1234–1245 (2024).

Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention Scientific Reports14(1), 1234–1245 (2024)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.256483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7b483e0f-bcd1-4216-88f6-3582638e9c8c · outbound

This paper cites Journal of neural engineering15(5), 056013 (2018).

Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention Journal of neural engineering15(5), 056013 (2018)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.246286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1021f9e4-8173-4c66-9887-b23708e43aa0 · outbound

This paper cites Biomedical Signal Processing and Control83, 104655 (2023).

Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention Biomedical Signal Processing and Control83, 104655 (2023)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.234634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fe0a55e9-1e71-4e46-972d-bef024811be5 · outbound

This paper cites Journal Name (2022).

Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention Journal Name (2022)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.222634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5f41f837-e4d6-44e9-b5cc-ae032d3da475 · outbound

This paper cites Cognitive Computation13(4), 1071–1088 (2021).

Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention Cognitive Computation13(4), 1071–1088 (2021)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.211013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation af3ad806-1703-4408-ab7c-9bb385239f37 · outbound

This paper cites Scientific Reports15(1), 92378 (2025).

Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention Scientific Reports15(1), 92378 (2025)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.200818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d554051e-892c-4643-854c-4177109ba630 · outbound

This paper cites Advances in neural information pro- cessing systems30(2017).

Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention Advances in neural information pro- cessing systems30(2017)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.188707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9cab46f1-d6f7-4fa5-b6b7-216dfe462807 · outbound

This paper cites In: Proceedings of the 28th IEEE EMBS Annual International Conference.

Brain2Vec: A Deep Learning Framework for EEG-Based Stress Detection Using CNN-LSTM-Attention In: Proceedings of the 28th IEEE EMBS Annual International Conference

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:24:28.175127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

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

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks cites this paper.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.