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Paper Citation Record · LEDGER

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition

As of 18 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:1908.01536.

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

pith.paper-citation-record.v1
1908.01536 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:14:13.652837Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

17 of 17 outbound references displayed

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  • verified fuzzy12
  • unresolved5
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f632852-123b-4d9b-90ef-ea998bc9d129 · outbound

This paper cites On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation.

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8f7b8c29-8d29-499a-ba81-353dd9ff081a · outbound

This paper cites 3D convolutional neural networks for human action recognition.

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition 3D convolutional neural networks for human action recognition

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0d986ed9-fb05-4ac7-b879-a66bb596bffa · outbound

This paper cites Explaining nonlinear classification deci- sions with deep taylor decomposition.

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition Explaining nonlinear classification deci- sions with deep taylor decomposition

Reference 9

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Source-reported events for the cited work

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Observation 0de6f0ad-b585-4722-a0fa-c650ec5017d6 · outbound

This paper cites Grad-cam: Visual explana- tions from deep networks via gradient-based localization.

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition Grad-cam: Visual explana- tions from deep networks via gradient-based localization

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 12eb8d1c-a088-4f51-8579-66957ba685c3 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 25536c54-661f-46ac-8ef3-3379d6964a82 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 12

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 63b6cac8-8205-47e9-a2c9-82d248475840 · outbound

This paper cites Saliency tubes: Visual ex- planations for spatio-temporal convolutions,.

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition Saliency tubes: Visual ex- planations for spatio-temporal convolutions,

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f11316b3-e60d-415e-98ac-7638e13fa1b7 · outbound

This paper cites Top-down neural attention by excitation backprop.

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition Top-down neural attention by excitation backprop

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a6ecb089-5541-41f7-9c78-eef659626ad1 · outbound

This paper cites Learning deep features for discriminative localization.

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition Learning deep features for discriminative localization

Reference 17

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b602ebaa-b229-47ec-9d2c-e1bfe72151ba · outbound

This paper cites Can spatiotemporal 3D CNNs retrace the history of 2D CNNs and ImageNet? In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June.

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition Can spatiotemporal 3D CNNs retrace the history of 2D CNNs and ImageNet? In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June

Reference 2009

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6468f874-c311-43e2-bdef-c517335b56d0 · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition Quo vadis, action recognition? a new model and the kinetics dataset

Reference 2010

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 500e3bfe-6f14-4d3f-a8c4-db559afec05f · outbound

This paper cites Interpretable human action recogni- tion in compressed domain.

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition Interpretable human action recogni- tion in compressed domain

Reference 2012

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:14:13.974131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5cb2f9a5-710b-4bbd-95a8-04de4622148e · outbound

This paper cites The Kinetics Human Action Video Dataset.

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition The Kinetics Human Action Video Dataset

Reference 2013

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9ae2f1a3-8f41-4052-b730-e6276fca7d43 · outbound

This paper cites How to explain individual classifi- cation decisions.

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition How to explain individual classifi- cation decisions

Reference 2015

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verified fuzzy
raw_fallback, observed 2026-08-14T15:14:14.184052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 277d43d6-c24a-4555-988f-746f2df24c99 · outbound

This paper cites Visualizing higher-layer features of a deep network.

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition Visualizing higher-layer features of a deep network

Reference 2017

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raw_fallback, observed 2026-08-14T15:14:14.117846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2018f678-5fdc-4576-b2f2-9a93fff08061 · outbound

This paper cites A Benchmark for Interpretability Methods in Deep Neural Networks.

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition A Benchmark for Interpretability Methods in Deep Neural Networks

Reference 2018

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no resolver link, observed 2026-08-14T15:14:13.519760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 57da5c83-b997-4586-8082-6b87ac2cb119 · outbound

This paper cites Learning spa- tiotemporal features with 3D convolutional networks.

Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition Learning spa- tiotemporal features with 3D convolutional networks

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:14:13.913796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.