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Paper Citation Record · LEDGER

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems

As of 19 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2501.04339.

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

pith.paper-citation-record.v1
2501.04339 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:41:30.346817Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

29 of 29 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de6c3999-d2a1-46cb-9e80-5dfaae2643b6 · outbound

This paper cites Chen, C.-L.

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Chen, C.-L

Reference 1

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Observation 4956c9be-6a7a-41a4-aa38-f1c0ade088c1 · outbound

This paper cites Bari´ c, P.

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Bari´ c, P

Reference 2

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Observation c69adc4b-05bb-4e6f-bb13-c0d21b77ebf0 · outbound

This paper cites A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers.

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers

Reference 3

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Observation fb6264f7-132a-4a14-867e-a2312cf7786c · outbound

This paper cites Exploring Interpretable LSTM Neural Networks over Multi-Variable Data.

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Exploring Interpretable LSTM Neural Networks over Multi-Variable Data

Reference 4

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Observation 29b01706-1c71-46cc-a655-04fedc63262b · outbound

This paper cites Ozyegen, I.

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Ozyegen, I

Reference 5

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Observation 3f4cfabc-4411-45eb-9df2-44b2cc45b8a0 · outbound

This paper cites TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models.

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models

Reference 6

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Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Unresolved cited work

Reference 7

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Observation 1a09d5ae-125e-4eac-85e5-c2b3c4aa5cd0 · outbound

This paper cites An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks.

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks

Reference 8

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Source-reported events for the cited work

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Observation 4ce088e0-a380-4f53-806a-5d7f7c1962e0 · outbound

This paper cites Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation.

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation

Reference 9

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Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Unresolved cited work

Reference 10

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Observation 636701ea-b3a8-4bed-8fe2-151b21f77f83 · outbound

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Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Unresolved cited work

Reference 11

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Observation dc0db635-2aa1-4bb8-a8f8-3f218e8c7aa8 · outbound

This paper cites Pantiskas, K.

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Pantiskas, K

Reference 12

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This paper cites Multi-scale Attention Flow for Probabilistic Time Series Forecasting.

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Multi-scale Attention Flow for Probabilistic Time Series Forecasting

Reference 13

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Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Gandin, A

Reference 14

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Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Attention is not Explanation

Reference 15

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Observation 104095d3-49ae-4094-bcec-d1385fc69b0f · outbound

This paper cites Attention is not not Explanation.

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Attention is not not Explanation

Reference 16

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Observation 869ca871-a91a-4c5c-b93f-51a7b65fed11 · outbound

This paper cites N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Reference 17

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Observation 55608a72-77e9-450d-aab6-a358cfbe2d9e · outbound

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Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows

Reference 18

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Observation 9bb6e0a3-e844-4170-a04a-caf1e4ead19c · outbound

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Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Munkhdalai, T

Reference 19

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Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Panja, T

Reference 20

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Interpretable deep convolutional model for nonlinear multivariate time series in complex systems XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification

Reference 21

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Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Assaf, A

Reference 22

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This paper cites Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis.

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis

Reference 23

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Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Castro, P

Reference 24

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Observation 48cbdf70-c6df-40d0-9c6a-28954f21e1fc · outbound

This paper cites seq2graph: Discovering Dynamic Dependencies from Multivariate Time Series with Multi-level Attention.

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems seq2graph: Discovering Dynamic Dependencies from Multivariate Time Series with Multi-level Attention

Reference 25

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Interpretable deep convolutional model for nonlinear multivariate time series in complex systems A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Reference 26

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Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Bari´ c, D

Reference 27

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Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Unresolved cited work

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Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Unresolved cited work

Reference 4743

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