Pith. sign in

Paper Citation Record · LEDGER

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

As of 16 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 2026-08-15T06:32:42.880941+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

  • verified exact0
  • verified fuzzy12
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:14:14.208500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:14:13.469512Z digest=sha256:496e4de15b316fb2f5235e5b3d7503d773221f2b9c71c759c32254ba1266325c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:14:14.059821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:14:13.530167Z digest=sha256:a1cce950c8c3ac475440ff6ff22530df5e4a1d06840e11d549b57143425c5136

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

Resolution
unresolved
no resolver link, observed 2026-08-14T15:14:13.555242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:14:13.555242Z digest=sha256:69d28ebfb7493fbba0b3d153ee9b60d1e928a35284c75cc8e40649b7319d9a34

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:14:14.005078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:14:13.561785Z digest=sha256:f8f4e4910103e71873dab872e8e98c70d85564fc1f4f2a1a3cc566e3adb33486

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

Resolution
unresolved
no resolver link, observed 2026-08-14T15:14:13.570213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:14:13.570213Z digest=sha256:bfba1b06c0036d18784c2b0dba28a366a3197fc3486a2385d60c864cd8e27936

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

Resolution
unresolved
no resolver link, observed 2026-08-14T15:14:13.589662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:14:13.589662Z digest=sha256:a00c1816f9bdd2f44638c841326d0a4231386a45417ff239bc7110548a615ec0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:14:13.942576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:14:13.622682Z digest=sha256:e659b23a7515a3b82f51ab4a5a52d51b97d5b40efaa40c4ce42482fc4a4f5bf6

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:14:13.874837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:14:13.644111Z digest=sha256:eecdbec27165bca4e5092f85516d08244da46c83e681a90b6f2947f98753f5ca

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:14:13.842251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:14:13.652837Z digest=sha256:08533c07c5296e4bb8969be15c60d806a944d92977bf8646517848dd2a7b29f3

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:14:14.090020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:14:13.505131Z digest=sha256:84601147a9b9d89e14032d8436b87a26a1dacb27a0197de3e18bf04bd2291aec

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
raw_fallback, observed 2026-08-14T15:14:14.160714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:14:13.488816Z digest=sha256:83ce04bff5f62f2d7eb6cf3c9f7606db317f5751e71ee00f9274ea2b41755cba

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:14:13.615688Z digest=sha256:08e04626fea43fe767bd4ccf7684a734beb31eb6ba3910250a1faf85886178d4

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

Resolution
unresolved
no resolver link, observed 2026-08-14T15:14:13.539723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:14:13.539723Z digest=sha256:6d0086786400e3cfcad882f1e07b7ce63652a5f1706a2105d58e71417e930e5d

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:14:13.478225Z digest=sha256:66d2c4c50ad769e5c9f33f1866b90a6fcfb2c5523cae1127526bdbe872325775

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:14:13.496999Z digest=sha256:a6461988f42d06cf5481d0df597b5cb5985b94449622c72ccfa0cab2e2970749

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:14:13.519760Z digest=sha256:6ca6a4340a7f8eb6e4e8596d800fc4f24b78ae874e12872c43790801b18b86c7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T15:14:13.633495Z digest=sha256:b823efcfb6ef1af8eec9f88bc4a7a38c7335f9c25b83751e8c15550dd19ae2f5

Pith citing papers

No inbound Pith citation observations are available.