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Paper Citation Record · LEDGER

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation

As of 22 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:1908.04351.

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

pith.paper-citation-record.v1
1908.04351 v3

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:57:18.923338Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T13:37:35.691503Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:47:38.408265Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact1
  • verified fuzzy22
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 328a8f0a-83b9-491d-b8ef-f63f86bb7dd1 · outbound

This paper cites Alber, S.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Alber, S

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 080203ab-7175-4814-bfc0-2cafac9284c9 · outbound

This paper cites Alipanahi, A.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Alipanahi, A

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c6b659c5-2436-4dfa-a740-3a78a1170d97 · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 3

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raw_fallback, observed 2026-08-14T14:57:19.906050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 32bfa1fd-6249-418b-a9c5-2030d715e9e8 · outbound

This paper cites Bazzani, A.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Bazzani, A

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation af7d2bb0-df2d-4b8b-900f-86850fe45299 · outbound

This paper cites Fukui, T.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Fukui, T

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.643819Z digest=sha256:e69ba238d3cac22f89fcdd596167fe5cc339a5bd1bd630a869b8f13b42cd6206

Observation 3d06e3f0-d7b5-4129-80a5-695ca8b12e42 · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.650117Z digest=sha256:2b19edabfd8566d6e0335ac6d4e444b82cbaa1eb57408f2684cd99182cd319f8

Observation eb6785de-4561-4d81-bd47-0b5744d112b9 · outbound

This paper cites A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-14T14:57:19.035752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3e2afbbe-e6ea-47be-8b20-cdd455dc7147 · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 8

Resolution
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raw_fallback, observed 2026-08-14T14:57:19.837131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 34a34f3d-eb20-4aff-9e0f-b11b25cdaf6b · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.672581Z digest=sha256:236733a17b2e5ea9cf618b8715e35fcfb1fc8dec91c9e46de0d4b58af6422744

Observation 743077e5-fb31-4e02-9924-e47858bba43d · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.679224Z digest=sha256:9f8bebde6e4b780978ac40f05fccd5add77f3c253d0b0e2375ed0ca1b6720cb0

Observation 6bb8bd4f-0a9a-49f9-8744-0b546ddd7e19 · outbound

This paper cites Huang, Z.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Huang, Z

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 418470dd-9d22-4a85-b07e-b9508f1bc2f0 · outbound

This paper cites Ide and S.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Ide and S

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.699732Z digest=sha256:b08148ced85c596db7bb13a636cfe5520e016e311319ace6277ebe8f2f0d7cc3

Observation b921bb06-cb9f-4edd-8e48-36393d2b0999 · outbound

This paper cites Jolly, B.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Jolly, B

Reference 13

Resolution
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raw_fallback, observed 2026-08-14T14:57:19.734527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.711288Z digest=sha256:987cd09f4995f153026ba7c1d1efced2da8df2d50e518d7e653ea955beea7bfe

Observation 815a49b2-3252-4eda-93c7-ec51b871567b · outbound

This paper cites Kindermans, K.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Kindermans, K

Reference 14

Resolution
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raw_fallback, observed 2026-08-14T14:57:19.709854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.719524Z digest=sha256:fce110d9b160f6c68560af6ae3a6be0325c8387de3782e18bfb59bf84b80a87a

Observation ed7df1cd-18bc-4676-a31c-39b045b0fc56 · outbound

This paper cites LeCun, L.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation LeCun, L

Reference 15

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raw_fallback, observed 2026-08-14T14:57:19.686989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.727812Z digest=sha256:8d7c7a3effc492ca32aa10e42aaf376c0a6f5a7e4339dd68c4a1dd43e3069d0e

Observation 1515ce25-6e43-497e-a7e5-fda909f83ea6 · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 16

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raw_fallback, observed 2026-08-14T14:57:19.662888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.736653Z digest=sha256:08058e0d2e24eb64d0075e90831022a1fd67a28c714e817c5af450684a29f1a1

Observation a9b5a060-988d-4bf0-85f0-189ea380f207 · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 17

Resolution
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raw_fallback, observed 2026-08-14T14:57:19.645122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.743349Z digest=sha256:bc2001e1c97fbd4271a41a239063bbf65c1d40ca1117c8bec34a0253f422b2b9

Observation 0e72f09a-130f-4fd6-9fde-c1d12d6f6584 · outbound

This paper cites Mahendran and A.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Mahendran and A

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.748946Z digest=sha256:dbb2bd387a9a5dd26b322620dda0985ccce78801e15dbf20a5cd09f59b7a180f

Observation 70fea523-632d-4795-b7be-4ed1089322e1 · outbound

This paper cites Montavon, S.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Montavon, S

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6a6ad5cb-2fc7-4cd7-bd42-2979aeee94be · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.760538Z digest=sha256:86c149339ad0d118a9c2ea9e9b88c84081748df10719d5dbd7a88b2a4937e950

Observation 498ca358-1e4d-45ea-8381-80739e0e676a · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5d71ba00-bcda-4e07-a464-b48f694d44b7 · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9952bcf8-ae78-44d9-8bab-50e2815b3ffe · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f9cfc3fc-1a32-4408-82cf-7f9656eb3f76 · outbound

This paper cites Russakovsky, J.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Russakovsky, J

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 17b654b7-197e-44ef-88d9-6ba8a3bcaded · outbound

This paper cites Schmidhuber.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Schmidhuber

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e3b409fa-be7e-4977-a237-81c1bb663b7c · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation abc66c9e-3d53-4180-a23e-053241cc07f7 · outbound

This paper cites Shrikumar, P.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Shrikumar, P

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.805866Z digest=sha256:6e8e81b260a720880ddd1e3b7c33a46831263dda8f3cbea59a58da69956c0ad0

Observation 166ada07-bc16-428f-8713-498de2774912 · outbound

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

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation af1e3489-04d2-4842-9397-13aeb2dc818d · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 29

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no resolver link, observed 2026-08-14T14:57:18.818040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8fcc5196-0fac-4a04-a772-338849c08e5f · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6a8a6142-f61b-4798-88d1-bef8c1effc1e · outbound

This paper cites Sturm, S.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Sturm, S

Reference 31

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raw_fallback, observed 2026-08-14T14:57:19.355398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.832027Z digest=sha256:e4238ca104d9ffa220d1425d0fbaef199c796a997f79e453d13af1c92bf87f89

Observation 0f4e21d5-4f97-49cd-92ed-4597ebc284e1 · outbound

This paper cites Sundararajan, A.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Sundararajan, A

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.837568Z digest=sha256:2864bef7d814ddd1d630cc76e5f9ae240149bfa74b8da5594309a92247a1c902

Observation 47210514-b26d-445f-a895-309315712890 · outbound

This paper cites Szegedy, V.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Szegedy, V

Reference 33

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raw_fallback, observed 2026-08-14T14:57:19.318832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.843723Z digest=sha256:8e48d91d8263b544647946f3bccfade1c9964f8d3cab7d8ffc8bf72f24c88e33

Observation 3d4042f7-d1be-4ec8-9bf4-6d229f8c9c5c · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 34

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raw_fallback, observed 2026-08-14T14:57:19.295559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 692dc6ee-5060-43d5-b579-a8856883385e · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 35

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raw_fallback, observed 2026-08-14T14:57:19.275945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8322f2a9-32f0-4e8a-ba11-ec50eca906cf · outbound

This paper cites Uchida, S.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Uchida, S

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-14T14:57:19.250068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.869529Z digest=sha256:b4e4ed9b971e6f2c25383c558972bef9643491997236e1c9417cfb2238abf122

Observation 3531665a-152f-43cc-8d5a-c7351817deb4 · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:57:19.227596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.875937Z digest=sha256:c7bd8b403ab738f1323947ec7be2c94ed89afa8f628bb1060a90a34ea7a87091

Observation b9895f97-18a3-43cc-ad1d-c81a85e4963c · outbound

This paper cites Watanabe, K.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Watanabe, K

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:57:19.201885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.881883Z digest=sha256:5f2b4f8cfff52ec05a1ab805e0cee1e568eeb8ce036b4d28fdba987f53a87862

Observation 5ad58117-72ab-4f3f-9739-09749bc1cf63 · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:57:19.181636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.887478Z digest=sha256:f6d74b753d27ce0e99a5b27a60738b5e031ff76fc98633b10f6bd98f1785099c

Observation ae87daee-99e7-4310-9a04-2c6395f9aea3 · outbound

This paper cites Yosinski, J.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Yosinski, J

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:57:19.162440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.894124Z digest=sha256:8469c87860501a6fd3c0c9557eac9a84b2d010eebb1bfaded42fd585e1940373

Observation 0c91a348-d98b-4868-8b7b-4a8d37cfec57 · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:57:19.143296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.899849Z digest=sha256:b0a1d7cfdd626c699fb7a5e227e21baa0408efa1bed02574d67b1cfaa18a5cbc

Observation f1602493-09ef-4cea-84ae-bbdd30d5bb1b · outbound

This paper cites Zhang, Z.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Zhang, Z

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:57:19.122896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.906072Z digest=sha256:88d04a0f85185716e61d0083722a2ef46aaaba3e3e2de27d64353c1fe1a14b0e

Observation 975dfaf2-ac9f-41de-895c-bb6fd025d5f0 · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:57:19.102387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.912717Z digest=sha256:b3e3a6951b2736b4161dfa922dc0cdaf949f55564abb5c95e18a49a11982fa39

Observation f506bcae-8e2c-4099-ad0f-4f1dc636154c · outbound

This paper cites an unresolved cited work.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:57:19.082368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.918039Z digest=sha256:0d4dd01ae7c89e3981c503aa0ed3f41393e78a153c4c351f9f446a8ffdd1e5c8

Observation 8c687beb-5f56-4fd0-88bf-df14ce5471db · outbound

This paper cites Zhou and O.

Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Zhou and O

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:57:19.058794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T14:57:18.923338Z digest=sha256:948f80a0b19a919d1fcaee91f8ee727f14d8e3ba01003182d3d8e2a89ebedff5

Pith citing papers

Observation c871883b-43e3-4ffd-919a-a511f09180f8 · inbound

XtrAIn: Training-Guided Occlusion for Feature Attribution cites this paper.

XtrAIn: Training-Guided Occlusion for Feature Attribution Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:47:38.410037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T13:37:35.691503Z digest=sha256:f7c872e4837d63097c6942484ac140ddabbf9a81f94b8c42eb174c402abdeda2