Paper Citation Record · LEDGER

Adversarial Neural Pruning with Latent Vulnerability Suppression

As of 15 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:1908.04355.

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

pith.paper-citation-record.v1
1908.04355 v4

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:48:55.118338Z

measured 14 of 14 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

14 of 14 outbound references displayed

verified exact1
verified fuzzy3
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0b6e30c0-26fa-4dfb-aaf6-8d9017d1347b · outbound

This paper cites and Wagner, D.

Adversarial Neural Pruning with Latent Vulnerability Suppression and Wagner, D

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:48:55.270121Z

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.

Observation 54daab14-6fe8-4f42-ad02-2d113d8cefbd · outbound

This paper cites Evaluating and Understanding the Robustness of Adversarial Logit Pairing.

Adversarial Neural Pruning with Latent Vulnerability Suppression Evaluating and Understanding the Robustness of Adversarial Logit Pairing

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:55.080994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a97bef24-8c94-43a6-85e0-f528e8af62a7 · outbound

This paper cites DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples.

Adversarial Neural Pruning with Latent Vulnerability Suppression DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:48:55.203931Z

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.

Observation 427efe01-9e8f-465b-ae0e-fec1192b5f94 · outbound

This paper cites Stick-Breaking Variational Autoencoders.

Adversarial Neural Pruning with Latent Vulnerability Suppression Stick-Breaking Variational Autoencoders

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:55.096314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6d158bf-56d7-4e37-9095-9f4f689c2e11 · outbound

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

Adversarial Neural Pruning with Latent Vulnerability Suppression Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:55.102813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04f19e54-c79c-4a1a-980e-76870c963e4c · outbound

This paper cites Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.

Adversarial Neural Pruning with Latent Vulnerability Suppression Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:55.110152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb2929bd-74de-47fd-a277-6be636487447 · outbound

This paper cites Letp(hi|hi−) deﬁne the conditional prob- ability andI(hi;hi−) deﬁne the mutual information be- tween hidden layer activationshi andhi− for every hidden layer in the network.

Adversarial Neural Pruning with Latent Vulnerability Suppression Letp(hi|hi−) deﬁne the conditional prob- ability andI(hi;hi−) deﬁne the mutual information be- tween hidden layer activationshi andhi− for every hidden layer in the network

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:48:55.249983Z

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.

Observation bb795ec0-d9a7-4bff-b2ca-3bd44c9a5ed0 · outbound

This paper cites Adaptive Network Sparsification with Dependent Variational Beta-Bernoulli Dropout.

Adversarial Neural Pruning with Latent Vulnerability Suppression Adaptive Network Sparsification with Dependent Variational Beta-Bernoulli Dropout

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:55.093013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c7aa04-d78b-4717-86b7-7e7fd4a99f5f · outbound

This paper cites The information bottleneck method.

Adversarial Neural Pruning with Latent Vulnerability Suppression The information bottleneck method

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:55.106547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9d5df5c-db25-4285-aacf-938afcaf6169 · outbound

This paper cites an unresolved cited work.

Adversarial Neural Pruning with Latent Vulnerability Suppression Unresolved cited work

Reference 2014

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:48:55.240503Z

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.

Observation 62d9a053-8782-441b-930f-9662def89a2f · outbound

This paper cites B., and Swami, A.

Adversarial Neural Pruning with Latent Vulnerability Suppression B., and Swami, A

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:48:55.260339Z

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.

Observation 850071a6-725e-45ca-8913-03f068dda9bb · outbound

This paper cites Memory Bounded Deep Convolutional Networks.

Adversarial Neural Pruning with Latent Vulnerability Suppression Memory Bounded Deep Convolutional Networks

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:55.076727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08c7e284-991b-4b36-8ba8-b9015f9e9d2b · outbound

This paper cites End to End Learning for Self-Driving Cars.

Adversarial Neural Pruning with Latent Vulnerability Suppression End to End Learning for Self-Driving Cars

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:55.068049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 413e4a32-b824-4252-8a07-a050b7b123c5 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Adversarial Neural Pruning with Latent Vulnerability Suppression Adam: A Method for Stochastic Optimization

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:55.089649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.