Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:1608.04644.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:30:12.861686Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-25T01:56:32.560598Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 7c6dc9f1-337d-450b-976f-98d13c187494 · inbound
Affine Disentangled GAN for Interpretable and Robust AV Perception Towards Evaluating the Robustness of Neural Networks
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c317ce83-dc64-439c-9f38-96ef446fa9f7 · inbound
Stateful Detection of Black-Box Adversarial Attacks Towards Evaluating the Robustness of Neural Networks
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d8e9c506-78cf-4785-99b1-afbb31a38e3e · inbound
Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn Towards Evaluating the Robustness of Neural Networks
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation dba6a7b7-a9b3-4b1c-8f88-39473116759f · inbound
Measuring the Transferability of Adversarial Examples Towards Evaluating the Robustness of Neural Networks
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 27e46986-c939-45fc-a711-5f06ba7154d1 · inbound
A principled approach for generating adversarial images under non-smooth dissimilarity metrics Towards Evaluating the Robustness of Neural Networks
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94ba226c-2252-4021-9332-e197553b8f60 · inbound
BlurNet: Defense by Filtering the Feature Maps Towards Evaluating the Robustness of Neural Networks
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ffc6531-e2bf-4b11-819c-a7128df421d9 · inbound
Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach Towards Evaluating the Robustness of Neural Networks
Reference 44
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91f74a3d-40f8-47dd-bcf9-5a2b45878f17 · inbound
Err on the Side of Texture: Texture Bias on Real Data Towards Evaluating the Robustness of Neural Networks
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f28775a-c5a0-4938-a24a-2383d56d6e0b · inbound
A Comprehensive Review of Adversarial Attacks on Machine Learning Towards Evaluating the Robustness of Neural Networks
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad48b854-9e53-4206-a480-579fa5810be2 · inbound
CP-Guard: Malicious Agent Detection and Defense in Collaborative Bird's Eye View Perception Towards Evaluating the Robustness of Neural Networks
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efd8292f-c2c3-4c34-b8c2-c3f0bd975988 · inbound
Targeted View-Invariant Adversarial Perturbations for 3D Object Recognition Towards Evaluating the Robustness of Neural Networks
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 023c7f7d-0349-4015-9a32-650bbe16b050 · inbound
Towards Adversarially Robust Deep Metric Learning Towards Evaluating the Robustness of Neural Networks
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e7f1ff9-d5cb-4f79-a289-f191482cdee6 · inbound
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Towards Evaluating the Robustness of Neural Networks
Reference 69
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b9745d8-4989-4440-bad2-2651be9f528a · inbound
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment Towards Evaluating the Robustness of Neural Networks
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dcc03eda-692d-4b7a-b9b4-60c93f295392 · inbound
Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Towards Evaluating the Robustness of Neural Networks
Reference 2017
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8bc226d-acb1-4c1a-8b0b-d8b11f8ced72 · inbound
Teach Me to Trick: Exploring Adversarial Transferability via Knowledge Distillation Towards Evaluating the Robustness of Neural Networks
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 702430e7-ddde-4a7f-9978-ba6f357107e2 · inbound
Investigating the Invertibility of Multimodal Latent Spaces: Limitations of Optimization-Based Methods Towards Evaluating the Robustness of Neural Networks
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a8cb003-69ce-4f67-b6b4-0b8d3b430be9 · inbound
Adversarial Examples Are Not Bugs, They Are Superposition Towards Evaluating the Robustness of Neural Networks
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ae7b7a7-e422-4ce1-bea9-04c679648037 · inbound
SyncBreaker:Stage-Aware Multimodal Adversarial Attacks on Audio-Driven Talking Head Generation Towards Evaluating the Robustness of Neural Networks
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 47b31ef9-ffb9-44e8-be68-bba7d53147c4 · inbound
SyncBreaker:Stage-Aware Multimodal Adversarial Attacks on Audio-Driven Talking Head Generation Towards Evaluating the Robustness of Neural Networks
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d377a4aa-8187-4905-ac29-601318b95ffa · inbound
Auto-ART: Structured Literature Synthesis and Automated Adversarial Robustness Testing Towards Evaluating the Robustness of Neural Networks
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5e7fd3b0-d4fa-478f-8c4d-35b7f0e7f90a · inbound
Transferable Physical-World Adversarial Patches Against Pedestrian Detection Models Towards Evaluating the Robustness of Neural Networks
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 07cba9a8-01ee-4f9f-95e2-a2563837a415 · inbound
Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations Towards Evaluating the Robustness of Neural Networks
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2bd20a56-d7b9-45ea-91e3-902ba6f6830a · inbound
Uncovering Hidden Systematics in Neural Network Models for High Energy Physics Towards Evaluating the Robustness of Neural Networks
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 34945939-0589-4161-9bbf-2e2d2fb5d161 · inbound
BadSKP: Backdoor Attacks on Knowledge Graph-Enhanced LLMs with Soft Prompts Towards Evaluating the Robustness of Neural Networks
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 91a15cd5-9881-487f-a5a1-8b9ee8db3e44 · inbound
Fast SDP certification of neural networks : towards large multi-class datasets Towards Evaluating the Robustness of Neural Networks
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3a7fb5d-fbe4-43d2-8a9d-ffe9eab223f7 · inbound
When cheap gradients fail: the measurement cost of attacking quantum classifiers Towards Evaluating the Robustness of Neural Networks
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.