Paper Citation Record · LEDGER

Semi-Periodic Activation for Time Series Classification

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2412.09889.

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

pith.paper-citation-record.v1
2412.09889 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:41:46.071212Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

31 of 31 outbound references displayed

verified exact1
verified fuzzy1
unresolved25
parse uncertain0
malformed identifier3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d85d3bee-b04e-4ef2-a6a2-167f87fccb0a · outbound

This paper cites IEEE Transactions on Neural Networks5(2), 157–166 (1994).

Semi-Periodic Activation for Time Series Classification IEEE Transactions on Neural Networks5(2), 157–166 (1994)

Reference 1

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Source-reported events for the cited work

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Observation 8f499916-cb40-4175-bc75-4f2733faeef5 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Semi-Periodic Activation for Time Series Classification Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 243aba27-af4f-4524-af8f-f2974b033603 · outbound

This paper cites an unresolved cited work.

Semi-Periodic Activation for Time Series Classification Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:41:47.141524Z

Source-reported events for the cited work

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Observation 859315ac-a1bb-44a2-8271-99385be15750 · outbound

This paper cites Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning.

Semi-Periodic Activation for Time Series Classification Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning

Reference 4

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Source-reported events for the cited work

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Observation e62c2bc8-c8bc-4a72-a198-2c5772f17193 · outbound

This paper cites Data Mining and Knowledge Discovery33(4), 917–963 (mar 2019).https://doi.org/10.1007/s10618-019-00619-1, https:// doi.org/10.1007%2Fs10618-019-00619-1.

Semi-Periodic Activation for Time Series Classification Data Mining and Knowledge Discovery33(4), 917–963 (mar 2019).https://doi.org/10.1007/s10618-019-00619-1, https:// doi.org/10.1007%2Fs10618-019-00619-1

Reference 5

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Source-reported events for the cited work

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Observation 17d58935-a4fc-4caa-bb8d-2207530c0b59 · outbound

This paper cites Data Mining and Knowledge Discovery34(6), 1936–1962 (sep 2020).

Semi-Periodic Activation for Time Series Classification Data Mining and Knowledge Discovery34(6), 1936–1962 (sep 2020)

Reference 6

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This paper cites an unresolved cited work.

Semi-Periodic Activation for Time Series Classification Unresolved cited work

Reference 7

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Observation 366e2b04-eea3-4cc4-9d8b-35672b25dcfc · outbound

This paper cites In: 2015 IEEE International Conference on Computer Vision (ICCV).

Semi-Periodic Activation for Time Series Classification In: 2015 IEEE International Conference on Computer Vision (ICCV)

Reference 8

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Observation f25716da-27d6-47a2-b8d3-6d0e175d08a9 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Semi-Periodic Activation for Time Series Classification Gaussian Error Linear Units (GELUs)

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a9905af-a7e2-4a04-8631-0f16c26e2315 · outbound

This paper cites An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set.

Semi-Periodic Activation for Time Series Classification An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set

Reference 10

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Source-reported events for the cited work

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Observation ce41d57e-0118-4d2d-adb9-1ba5b716a941 · outbound

This paper cites an unresolved cited work.

Semi-Periodic Activation for Time Series Classification Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T16:41:45.926706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fd1960a-874b-4f78-a290-e1af1670e68e · outbound

This paper cites Neurocomputing 216, 718–734 (2016).

Semi-Periodic Activation for Time Series Classification Neurocomputing 216, 718–734 (2016)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T16:41:45.931008Z

Source-reported events for the cited work

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Observation 17fa1518-a355-46ca-8417-01057b521bac · outbound

This paper cites Big Data Research34, 100407 (2023).https://doi.org/https://doi.org/10.

Semi-Periodic Activation for Time Series Classification Big Data Research34, 100407 (2023).https://doi.org/https://doi.org/10

Reference 13

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Source-reported events for the cited work

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Semi-Periodic Activation for Time Series Classification Unresolved cited work

Reference 14

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Observation 1c1a3f64-7357-43bd-9480-bd44974dbe59 · outbound

This paper cites In: Proceedings of the 27th international conference on machine learning (ICML-10).

Semi-Periodic Activation for Time Series Classification In: Proceedings of the 27th international conference on machine learning (ICML-10)

Reference 15

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Source-reported events for the cited work

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Observation c5f484a0-c6ab-464d-b5b8-32b1f93c9652 · outbound

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Semi-Periodic Activation for Time Series Classification Unresolved cited work

Reference 16

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This paper cites an unresolved cited work.

Semi-Periodic Activation for Time Series Classification Unresolved cited work

Reference 17

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Observation 234ec504-8ee1-43b8-b67e-1ba2e87797fe · outbound

This paper cites Acta Numerica 8, 143–195 (1999).https://doi.org/10.1017/S0962492900002919.

Semi-Periodic Activation for Time Series Classification Acta Numerica 8, 143–195 (1999).https://doi.org/10.1017/S0962492900002919

Reference 18

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Source-reported events for the cited work

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Observation 9392085c-b8fb-42bd-8301-e3344d6d27e7 · outbound

This paper cites In: 2020 IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI).

Semi-Periodic Activation for Time Series Classification In: 2020 IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI)

Reference 19

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Observation 52bd0349-c4c8-4bde-a045-78e4a5ffd9e0 · outbound

This paper cites Data Mining and Knowledge Discovery35, 401–449 (2021).

Semi-Periodic Activation for Time Series Classification Data Mining and Knowledge Discovery35, 401–449 (2021)

Reference 20

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This paper cites In: IJCNN’99.

Semi-Periodic Activation for Time Series Classification In: IJCNN’99

Reference 21

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Observation 17ab6b2b-c8d7-4e50-9042-50d8ad89ef74 · outbound

This paper cites Applied and Computational Harmonic Analysis43(2), 233– 268 (2017).

Semi-Periodic Activation for Time Series Classification Applied and Computational Harmonic Analysis43(2), 233– 268 (2017)

Reference 22

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Observation 9bc9c76a-c55b-46b1-8e12-9ba6a43874da · outbound

This paper cites In: 1999 Ninth International Conference on Artificial Neural Networks ICANN 99.

Semi-Periodic Activation for Time Series Classification In: 1999 Ninth International Conference on Artificial Neural Networks ICANN 99

Reference 23

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Observation d035ff5d-6047-4078-8eac-349a2bfa107d · outbound

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Semi-Periodic Activation for Time Series Classification Unresolved cited work

Reference 24

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Observation 52fe6294-9955-4fb6-8cb2-4ff08541f7e4 · outbound

This paper cites In: Proceedings of the Thirtieth Interna- tional Joint Conference on Artificial Intelligence.

Semi-Periodic Activation for Time Series Classification In: Proceedings of the Thirtieth Interna- tional Joint Conference on Artificial Intelligence

Reference 25

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Semi-Periodic Activation for Time Series Classification Unresolved cited work

Reference 26

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Source-reported events for the cited work

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Observation 6104cad3-f94e-4a69-9b48-88a245d50e26 · outbound

This paper cites In: 2019 IEEE International Conference on Smart Manufacturing, Industrial & Logistics Engineering (SMILE).

Semi-Periodic Activation for Time Series Classification In: 2019 IEEE International Conference on Smart Manufacturing, Industrial & Logistics Engineering (SMILE)

Reference 27

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Observation b67c7fcf-bde8-45a5-adc9-5191625fdbf9 · outbound

This paper cites Knowledge-Based Systems 245, 108606 (2022).

Semi-Periodic Activation for Time Series Classification Knowledge-Based Systems 245, 108606 (2022)

Reference 28

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Semi-Periodic Activation for Time Series Classification Unresolved cited work

Reference 29

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Observation 694faae1-06e9-46a8-8ccf-a0fb3f439752 · outbound

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Semi-Periodic Activation for Time Series Classification Unresolved cited work

Reference 30

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Observation c8b1275e-5230-434f-9beb-49e7b20cb3b0 · outbound

This paper cites In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H.

Semi-Periodic Activation for Time Series Classification In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T16:41:46.071212Z

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Pith citing papers

No inbound Pith citation observations are available.