Paper Citation Record · LEDGER

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation

As of 18 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2506.05035.

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

pith.paper-citation-record.v1
2506.05035 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:37:38.793346Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:37:07.679363Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

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External citation measurements

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Outbound references

Observation bb8581dc-825a-4b00-ba06-a257c42a2aa0 · outbound

This paper cites write newline.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation write newline

Reference 1

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This paper cites G., Lehnertz, K., Mormann, F., Rieke, C., David, P., and Elger, C.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation G., Lehnertz, K., Mormann, F., Rieke, C., David, P., and Elger, C

Reference 2

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This paper cites S., Flunkert, V., Wang, Y., Maddix, D., Turkmen, C., Gasthaus, J., Bohlke-Schneider, M., Salinas, D., Stella, L., et al.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation S., Flunkert, V., Wang, Y., Maddix, D., Turkmen, C., Gasthaus, J., Bohlke-Schneider, M., Salinas, D., Stella, L., et al

Reference 3

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This paper cites Elevated admission lactate levels in the emergency department are associated with increased 30-day mortality in non-trauma critically ill patients.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Elevated admission lactate levels in the emergency department are associated with increased 30-day mortality in non-trauma critically ill patients

Reference 4

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Observation 3dea382a-1148-45e2-867c-07214f1fdbd1 · outbound

This paper cites Time series deconfounder: Estimating treatment effects over time in the presence of hidden confounders.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Time series deconfounder: Estimating treatment effects over time in the presence of hidden confounders

Reference 5

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This paper cites and Carlberg, B.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation and Carlberg, B

Reference 6

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Unresolved cited work

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This paper cites Timemil: Advancing multivariate time series classification via a time-aware multiple instance learning.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Timemil: Advancing multivariate time series classification via a time-aware multiple instance learning

Reference 8

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This paper cites Interpretable machine learning: A guide for making black box models explainable.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Interpretable machine learning: A guide for making black box models explainable

Reference 9

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This paper cites Empirical evaluation of gated recurrent neural networks on sequence modeling.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Empirical evaluation of gated recurrent neural networks on sequence modeling

Reference 10

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This paper cites and Van Der Schaar, M.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation and Van Der Schaar, M

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This paper cites A survey of the state of explainable ai for natural language processing.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation A survey of the state of explainable ai for natural language processing

Reference 12

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation A., Bagnall, A., Kamgar, K., Yeh, C.-C

Reference 13

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Unresolved cited work

Reference 14

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This paper cites Inherently interpretable time series classification via multiple instance learning.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Inherently interpretable time series classification via multiple instance learning

Reference 15

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This paper cites Learning perturbations to explain time series predictions.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Learning perturbations to explain time series predictions

Reference 16

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This paper cites A., Gunady, M., Corrada Bravo, H., and Feizi, S.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation A., Gunady, M., Corrada Bravo, H., and Feizi, S

Reference 18

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation E., Pollard, T

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This paper cites K., Rooke, C., Smith, J., Zuberi, S., and Volkovs, M.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation K., Rooke, C., Smith, J., Zuberi, S., and Volkovs, M

Reference 21

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This paper cites Timex++: Learning time-series explanations with information bottleneck.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Timex++: Learning time-series explanations with information bottleneck

Reference 22

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This paper cites Explaining time series via contrastive and locally sparse perturbations.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Explaining time series via contrastive and locally sparse perturbations

Reference 23

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Deep learning methods in transportation domain: a review

Reference 26

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This paper cites Encoding time-series explanations through self-supervised model behavior consistency.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Encoding time-series explanations through self-supervised model behavior consistency

Reference 27

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation S., Seeger, M

Reference 28

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation S., Werner, L

Reference 29

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation and Stricker, D

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation T., Singh, S., and Guestrin, C

Reference 31

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation S., Hughes, M

Reference 32

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This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Reference 33

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., and Batra, D

Reference 34

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Simulated boiler data for fault detection and classification, 2019

Reference 35

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Learning important features through propagating activation differences

Reference 36

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This paper cites Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting

Reference 37

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Axiomatic attribution for deep networks

Reference 39

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation A., Szolovits, P., and Ghassemi, M

Reference 40

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This paper cites Impact of blood urea nitrogen to creatinine ratio on mortality and morbidity in hemodialysis patients: The q-cohort study.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Impact of blood urea nitrogen to creatinine ratio on mortality and morbidity in hemodialysis patients: The q-cohort study

Reference 41

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation K., and Goldenberg, A

Reference 42

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation F., Hadjout, D., Sebaa, A., Mart \' nez- \'A lvarez, F., and Troncoso, A

Reference 43

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation N., Kaiser, ., and Polosukhin, I

Reference 44

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation H., and Lighthall, G

Reference 45

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This paper cites Interpretation of Time-Series Deep Models: A Survey.

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Interpretation of Time-Series Deep Models: A Survey

Reference 46

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TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Learning deep features for discriminative localization

Reference 47

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Pith citing papers

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TimeSAE: Causal Sparse Decoding for Faithful Explanations of Black-Box Time Series Models cites this paper.

TimeSAE: Causal Sparse Decoding for Faithful Explanations of Black-Box Time Series Models TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation

Reference 30

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Attribution and Uncertainty Behavior of Learned Residual Gyro Correction for Gyro-Stellar Estimation cites this paper.

Attribution and Uncertainty Behavior of Learned Residual Gyro Correction for Gyro-Stellar Estimation TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation

Reference 8

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