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Paper Citation Record · LEDGER

CRITS: Convolutional Rectifier for Interpretable Time Series Classification

As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.12042.

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

pith.paper-citation-record.v1
2506.12042 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

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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 2e6a5ef8-bee3-412d-a819-5c03df4cfb96 · outbound

This paper cites In: IJCAI-17 workshop on explainable AI (XAI).

CRITS: Convolutional Rectifier for Interpretable Time Series Classification In: IJCAI-17 workshop on explainable AI (XAI)

Reference 1

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CRITS: Convolutional Rectifier for Interpretable Time Series Classification Unresolved cited work

Reference 2

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Observation e644c653-78a0-4ba8-8bf1-faf64e2a8a5d · outbound

This paper cites Simon and Schuster (2021).

CRITS: Convolutional Rectifier for Interpretable Time Series Classification Simon and Schuster (2021)

Reference 3

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This paper cites Data Mining and Knowledge Discovery34(5), 1454–1495 (2020).

CRITS: Convolutional Rectifier for Interpretable Time Series Classification Data Mining and Knowledge Discovery34(5), 1454–1495 (2020)

Reference 4

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CRITS: Convolutional Rectifier for Interpretable Time Series Classification Unresolved cited work

Reference 5

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Observation 4be13df5-70c7-44e7-aa2a-d274487d71fe · outbound

This paper cites IEEE Transactions on Artificial Intel- ligence 1(1), 47–61 (2020).

CRITS: Convolutional Rectifier for Interpretable Time Series Classification IEEE Transactions on Artificial Intel- ligence 1(1), 47–61 (2020)

Reference 6

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This paper cites In: Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III 23.

CRITS: Convolutional Rectifier for Interpretable Time Series Classification In: Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III 23

Reference 7

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Observation ef27b2e2-339d-4dc5-9dc4-2b17f4b47dae · outbound

This paper cites Data mining and knowledge discovery 33(4), 917–963 (2019).

CRITS: Convolutional Rectifier for Interpretable Time Series Classification Data mining and knowledge discovery 33(4), 917–963 (2019)

Reference 8

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Observation 436e1172-e67e-46db-a20a-512210bcf465 · outbound

This paper cites In: Proceedings of the 25th ACM SIGKDD International conference on knowledge discovery & Data Mining.

CRITS: Convolutional Rectifier for Interpretable Time Series Classification In: Proceedings of the 25th ACM SIGKDD International conference on knowledge discovery & Data Mining

Reference 9

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This paper cites Ieee Access8, 121033–121049 (2020).

CRITS: Convolutional Rectifier for Interpretable Time Series Classification Ieee Access8, 121033–121049 (2020)

Reference 10

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Observation 38852883-7332-4c11-8a38-fe2ae7e0e43d · outbound

This paper cites In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases.

CRITS: Convolutional Rectifier for Interpretable Time Series Classification In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases

Reference 11

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This paper cites In: Discovery Science: 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings.

CRITS: Convolutional Rectifier for Interpretable Time Series Classification In: Discovery Science: 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings

Reference 12

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Observation 40869f44-afce-4e43-b77b-eb4943e5d297 · outbound

This paper cites Advances in neural information processing systems30 (2017).

CRITS: Convolutional Rectifier for Interpretable Time Series Classification Advances in neural information processing systems30 (2017)

Reference 13

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Observation aee293fb-9f5b-4828-92f7-032cddadf7d4 · outbound

This paper cites In: Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support.

CRITS: Convolutional Rectifier for Interpretable Time Series Classification In: Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support

Reference 14

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Observation fa2fd53f-296f-4ca6-8b79-5ac06a5f9a4c · outbound

This paper cites Artificial intelligence267, 1–38 (2019).

CRITS: Convolutional Rectifier for Interpretable Time Series Classification Artificial intelligence267, 1–38 (2019)

Reference 15

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CRITS: Convolutional Rectifier for Interpretable Time Series Classification Unresolved cited work

Reference 16

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This paper cites why should i trust you?.

CRITS: Convolutional Rectifier for Interpretable Time Series Classification why should i trust you?

Reference 17

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This paper cites Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey.

CRITS: Convolutional Rectifier for Interpretable Time Series Classification Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey

Reference 18

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Observation 528f888e-3866-4cc3-9c5a-db10e955440c · outbound

This paper cites Nature Machine Intelligence1(5), 206–215 (2019).

CRITS: Convolutional Rectifier for Interpretable Time Series Classification Nature Machine Intelligence1(5), 206–215 (2019)

Reference 19

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Observation 56eda527-efdd-4443-b979-5779ebd63e13 · outbound

This paper cites Data Mining and Knowledge Discovery35(2), 401– 449 (2021).

CRITS: Convolutional Rectifier for Interpretable Time Series Classification Data Mining and Knowledge Discovery35(2), 401– 449 (2021)

Reference 20

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This paper cites In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

CRITS: Convolutional Rectifier for Interpretable Time Series Classification In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

Reference 21

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This paper cites In: Proceedings of the IEEE international conference on computer vision.

CRITS: Convolutional Rectifier for Interpretable Time Series Classification In: Proceedings of the IEEE international conference on computer vision

Reference 22

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Observation 1061b9e8-ed63-428a-a574-0035ca9f4bbb · outbound

This paper cites In: International conference on machine learn- ing.

CRITS: Convolutional Rectifier for Interpretable Time Series Classification In: International conference on machine learn- ing

Reference 23

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Observation 17608680-c457-4fd5-bc69-0917befc9043 · outbound

This paper cites SmoothGrad: removing noise by adding noise.

CRITS: Convolutional Rectifier for Interpretable Time Series Classification SmoothGrad: removing noise by adding noise

Reference 24

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This paper cites Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification.

CRITS: Convolutional Rectifier for Interpretable Time Series Classification Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification

Reference 25

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Observation 45b41826-f424-4597-9607-17745ae2c913 · outbound

This paper cites IEEE Access (2022).

CRITS: Convolutional Rectifier for Interpretable Time Series Classification IEEE Access (2022)

Reference 26

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This paper cites Journal of Computational Science58, 101539 (2022).

CRITS: Convolutional Rectifier for Interpretable Time Series Classification Journal of Computational Science58, 101539 (2022)

Reference 27

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Observation 2c7f8ce6-f893-4929-b022-88e2cf0f5f39 · outbound

This paper cites Gradient-Based Interpretability Methods and Binarized Neural Networks.

CRITS: Convolutional Rectifier for Interpretable Time Series Classification Gradient-Based Interpretability Methods and Binarized Neural Networks

Reference 28

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This paper cites In: Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part I 13.

CRITS: Convolutional Rectifier for Interpretable Time Series Classification In: Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part I 13

Reference 29

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Observation 5d4dce72-6405-47a4-8a85-8b541fd8e27f · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

CRITS: Convolutional Rectifier for Interpretable Time Series Classification In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 30

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This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

CRITS: Convolutional Rectifier for Interpretable Time Series Classification In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 31

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Observation 96347480-3eb9-458c-a93b-b797371a77a9 · outbound

This paper cites In: 2021 International Joint Conference on Neural Networks (IJCNN).

CRITS: Convolutional Rectifier for Interpretable Time Series Classification In: 2021 International Joint Conference on Neural Networks (IJCNN)

Reference 32

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CRITS: Convolutional Rectifier for Interpretable Time Series Classification Unresolved cited work

Reference 329

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Pith citing papers

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