Paper Citation Record · LEDGER

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning

As of 16 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:1908.04389.

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

pith.paper-citation-record.v1
1908.04389 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:15:03.758128Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

23 of 23 outbound references displayed

verified exact0
verified fuzzy8
unresolved14
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 53afde0f-fe7d-4cfb-bf20-679ee33af67f · outbound

This paper cites Amazon scraps secret ai recruiting tool that showed bias against women,.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning Amazon scraps secret ai recruiting tool that showed bias against women,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:04.102791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 02bee8d1-51fd-4f8e-b914-f529c7346572 · outbound

This paper cites General data protection regulation,.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning General data protection regulation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:04.087843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 072d1c7e-053d-4734-95c8-20caa33fc7df · outbound

This paper cites Explainable artiﬁcial intelligence (xai),.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning Explainable artiﬁcial intelligence (xai),

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T15:15:03.658844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50803dd5-6448-41dc-8b56-a2c6b7fdaed7 · outbound

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

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T15:15:03.663054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a68daf9-01d2-454c-aca5-78ee092ba966 · outbound

This paper cites SmoothGrad: removing noise by adding noise.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning SmoothGrad: removing noise by adding noise

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T15:15:03.677631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db425a0d-d5f5-4254-ab18-1f9f161abf8e · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning Imagenet: A large-scale hierarchical image database,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T15:15:03.683118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bc76fe0-dc15-4ce3-90fa-a2f88eb965e2 · outbound

This paper cites Learning multiple layers of features from tiny images,.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning Learning multiple layers of features from tiny images,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T15:15:03.688110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a9525f8-aa19-4cae-824f-732fd28c0573 · outbound

This paper cites Striving for Simplicity: The All Convolutional Net.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning Striving for Simplicity: The All Convolutional Net

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T15:15:03.692629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e4a30ee-0bc0-4a71-97e8-01fbd9209f6b · outbound

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

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning On pixel-wise explanations for non-linear classiﬁer deci- sions by layer-wise relevance propagation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:04.043321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dc878854-6a58-4f70-b503-e6ccd175f1e7 · outbound

This paper cites The Mythos of Model Interpretability.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning The Mythos of Model Interpretability

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T15:15:03.701879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be8d79ff-71b3-4456-a096-e09171a6a13e · outbound

This paper cites Visualizing and understanding convolu- tional networks,.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning Visualizing and understanding convolu- tional networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:04.027949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 07b340d6-0097-4324-938c-537dae6600f8 · outbound

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

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T15:15:03.711142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2129d2c4-c4da-46ae-8ba0-8b4280e06bae · outbound

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

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning On pixel-wise explanations for non-linear classiﬁer decisions by layer-wise relevance propagation,

Reference 14

Resolution: malformed identifier; raw_fallback, observed 2026-08-14T15:15:04.001421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ef8c8efd-7ef6-4627-8301-7a03c7d28555 · outbound

This paper cites Interpretable explanations of black boxes by meaningful perturbation,.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning Interpretable explanations of black boxes by meaningful perturbation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:03.985811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9cff3852-f739-4063-ae05-186bd48ff6e0 · outbound

This paper cites Interpretability of deep learning models: a survey of results,.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning Interpretability of deep learning models: a survey of results,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:03.969838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0f920df4-2275-4021-ae5b-01654d547c8a · outbound

This paper cites A survey of methods for explaining black box models,.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning A survey of methods for explaining black box models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:03.953998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0b68dad3-bc32-4b13-a0d5-af8e00f35f06 · outbound

This paper cites Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude,.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T15:15:03.735264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 983ef5a4-4988-45f8-8ee4-b5bc4eafcb40 · outbound

This paper cites Interpretable convolutional neural networks,.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning Interpretable convolutional neural networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:15:03.927973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ad9c2fc5-042b-4ea0-9db8-bb92abd36881 · outbound

This paper cites Towards evaluating the robustness of neural networks,.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning Towards evaluating the robustness of neural networks,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T15:15:03.744532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06ad9ffa-9c4c-4d46-a58d-9cff4417138b · outbound

This paper cites Rethinking the Inception Architecture for Computer Vision.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning Rethinking the Inception Architecture for Computer Vision

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T15:15:03.748668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523cd311-5ae7-4d85-80ef-444f1959b48f · outbound

This paper cites Explaining NonLinear Classification Decisions with Deep Taylor Decomposition.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning Explaining NonLinear Classification Decisions with Deep Taylor Decomposition

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T15:15:03.753561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57899e51-5f29-4cf3-af39-0cfce3bad3ea · outbound

This paper cites iNNvestigate neural networks!.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning iNNvestigate neural networks!

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T15:15:03.758128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b44261b-9071-4964-ab31-ee2ab1ce4308 · outbound

This paper cites "Why Should I Trust You?": Explaining the Predictions of Any Classifier.

NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning "Why Should I Trust You?": Explaining the Predictions of Any Classifier

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-14T15:15:03.673218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.