Paper Citation Record · LEDGER

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification

As of 13 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2411.13217.

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

pith.paper-citation-record.v1
2411.13217 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:45:55.099700Z

measured 34 of 34 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

34 of 34 outbound references displayed

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verified fuzzy11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation abd495ce-3e59-4660-a58b-73a9dadd3a57 · outbound

This paper cites Wiley, West Sussex.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification Wiley, West Sussex

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:45:56.334782Z

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Observation 64d7a359-49e6-40a0-af68-6e83a4359e31 · outbound

This paper cites In: 2018 IEEE international symposium on multimedia (ISM), pp 188-189.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification In: 2018 IEEE international symposium on multimedia (ISM), pp 188-189

Reference 2

Resolution: verified exact; doi, observed 2026-08-12T16:45:55.269419Z

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Observation e75b604f-1cf0-45c2-b21e-90c350f086b4 · outbound

This paper cites In: 2017 IEEE SENSORS, pp 1-3.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification In: 2017 IEEE SENSORS, pp 1-3

Reference 3

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This paper cites In: 2020 National conference on communications (NCC), pp 1-5.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification In: 2020 National conference on communications (NCC), pp 1-5

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-12T16:45:56.062428Z

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Observation 02159b62-3ab8-426a-8b5c-817fb77f502a · outbound

This paper cites In: 2019 3rd international conference on trends in electronics and informatics (ICOEI), pp 1248-1253.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification In: 2019 3rd international conference on trends in electronics and informatics (ICOEI), pp 1248-1253

Reference 5

Resolution: verified exact; doi, observed 2026-08-12T16:45:55.252118Z

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Observation 070cf493-7807-4c73-b4fb-75f74c211a52 · outbound

This paper cites In: 2019 2nd international conference on computer applications information security (ICCAIS), pp 1-4.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification In: 2019 2nd international conference on computer applications information security (ICCAIS), pp 1-4

Reference 6

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T16:45:55.989148Z

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Observation 61d7e6cf-0b99-49d2-a23d-e985404c1615 · outbound

This paper cites In: 2013 International winter workshop on brain-computer interface (BCI), pp 46-48.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification In: 2013 International winter workshop on brain-computer interface (BCI), pp 46-48

Reference 7

Resolution: verified exact; doi, observed 2026-08-12T16:45:55.235952Z

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This paper cites In: 2020 IEEE international con ference on consumer electronics—Asia (ICCE-Asia), pp 1-3.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification In: 2020 IEEE international con ference on consumer electronics—Asia (ICCE-Asia), pp 1-3

Reference 8

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Observation 0d26ba23-372b-4032-b3a6-e5baeed94cf2 · outbound

This paper cites In: 2017 4th IAPR Asian conference on pattern recognition (ACPR), pp 906-910.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification In: 2017 4th IAPR Asian conference on pattern recognition (ACPR), pp 906-910

Reference 9

Resolution: verified exact; doi, observed 2026-08-12T16:45:55.220415Z

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Observation 4ea04a47-3fb7-4647-8b6a-ac25e742c51a · outbound

This paper cites IEEE Trans Neural Syst Rehabil Eng 21(2):225-232.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification IEEE Trans Neural Syst Rehabil Eng 21(2):225-232

Reference 10

Resolution: verified exact; doi, observed 2026-08-12T16:45:55.205051Z

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Observation ca072bfd-6217-4160-afa8-11fafcdfddeb · outbound

This paper cites IEEE Rev Biomed Eng 14:204-218.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification IEEE Rev Biomed Eng 14:204-218

Reference 11

Resolution: verified exact; doi, observed 2026-08-12T16:45:55.188550Z

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Observation b6a4ec63-62b5-4c97-b7c2-27d583260cfb · outbound

This paper cites IEEE Trans Neural Syst Rehabil Eng 27(1):31-42.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification IEEE Trans Neural Syst Rehabil Eng 27(1):31-42

Reference 12

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Observation aebf110d-8050-4ee0-8efb-bf57ef9ab710 · outbound

This paper cites In: 2021 national conference on communications (NCC), pp 1-5.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification In: 2021 national conference on communications (NCC), pp 1-5

Reference 13

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This paper cites In: 2021 3rd international conference on electronics representation and algorithm (ICERA), pp 89-94.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification In: 2021 3rd international conference on electronics representation and algorithm (ICERA), pp 89-94

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-12T16:45:55.704410Z

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Observation 44b522be-21c6-472c-af08-d3ac3aa9f24c · outbound

This paper cites IEEE Access 8:163269-163279.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification IEEE Access 8:163269-163279

Reference 15

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T16:45:55.634815Z

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Observation 169875f2-97d0-45c9-bade-2da28f4a0fdf · outbound

This paper cites Neurocomputing.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification Neurocomputing

Reference 16

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Observation 9cd66feb-86e0-41e2-b8cb-56499656b112 · outbound

This paper cites J Frankl Inst 353(2):448-461.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification J Frankl Inst 353(2):448-461

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:45:56.320137Z

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Observation eef7606c-c64f-4392-a94f-3ed5a7bd09bc · outbound

This paper cites Electronics.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification Electronics

Reference 18

Resolution: verified exact; doi, observed 2026-08-12T16:45:55.163959Z

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Observation f04d4dc4-237e-46c1-914a-93d778e59e69 · outbound

This paper cites In: 2009 IEEE international conference on acoustics, speech and signal pro cessing, pp 489-492.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification In: 2009 IEEE international conference on acoustics, speech and signal pro cessing, pp 489-492

Reference 19

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Observation 75ae374f-0666-4145-9fb8-37a7628cdd5f · outbound

This paper cites Neuroscience.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification Neuroscience

Reference 20

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Observation 79e57682-4efd-41bc-b8ea-691060f7694a · outbound

This paper cites In: 2009 4th international IEEE/EMBS conference on neural engineering, pp 440-443.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification In: 2009 4th international IEEE/EMBS conference on neural engineering, pp 440-443

Reference 21

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Observation e0d8fceb-5fa8-414c-951b-914f78081161 · outbound

This paper cites BrainVision, accessed 27 July.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification BrainVision, accessed 27 July

Reference 22

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Observation bed35fe5-b4c1-4cd1-bb07-266b5aedb5e4 · outbound

This paper cites https://pstnet.com/products/e-prime/.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification https://pstnet.com/products/e-prime/

Reference 23

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Observation 7da0691f-fd52-4a9f-a44b-6b1783723e05 · outbound

This paper cites Springer, London.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification Springer, London

Reference 24

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Observation b2fc0798-8dec-449f-b3d5-0932b755aecd · outbound

This paper cites SIAM J Control Optim 46:496-540.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification SIAM J Control Optim 46:496-540

Reference 25

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This paper cites Teoría y problemas de analisis matematico en una variable, 3rd edn.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification Teoría y problemas de analisis matematico en una variable, 3rd edn

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:45:56.227804Z

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Observation 8eb0e3d2-87b4-4639-8a14-10faeb1fdf15 · outbound

This paper cites Neural Comput 9(8):1735-1780.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification Neural Comput 9(8):1735-1780

Reference 27

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Observation b8741139-ea68-4f0c-9c2e-58fc735fa044 · outbound

This paper cites In: 2018 IEEE EMBS international conference on biomedical health informatics (BHI), pp 104-107.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification In: 2018 IEEE EMBS international conference on biomedical health informatics (BHI), pp 104-107

Reference 28

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This paper cites Neural Comput Appl 34(15):12527-12557.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification Neural Comput Appl 34(15):12527-12557

Reference 29

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Observation 39254442-f775-4f69-ae9c-5350b107c620 · outbound

This paper cites Biomed Signal Process Control 78:103885.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification Biomed Signal Process Control 78:103885

Reference 30

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Observation 59a0db25-6d42-41ea-a8d4-26c666a27983 · outbound

This paper cites Mach Learn.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification Mach Learn

Reference 31

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Observation d82cbc4b-d080-4970-93d0-5a1f7f04e73c · outbound

This paper cites Mach Learn Technol 2.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification Mach Learn Technol 2

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:45:56.180746Z

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Observation 682c925f-cccf-4ff1-b96e-26eb14375969 · outbound

This paper cites In: Proceedings of the 2nd inter national symposium on music information retrieval, Indiana, vol.

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification In: Proceedings of the 2nd inter national symposium on music information retrieval, Indiana, vol

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:45:56.165191Z

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Observation 91ee1d4a-0e5b-4c7a-8d0d-79f3b2c727f5 · outbound

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Energy-based features and bi-LSTM neural network for EEG-based music and voice classification Unresolved cited work

Reference 144

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.