Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2102.01356.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:54:28.472822Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T09:49:45.000270Z
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 2dabc317-48a6-459d-ac00-4ff8b655dbe8 · inbound
Approach to Finding a Robust Deep Learning Model Recent Advances in Adversarial Training for Adversarial Robustness
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35910f2a-56c5-4927-81cf-079627062b6f · inbound
SELF: Self-Extend the Context Length With Logistic Growth Function Recent Advances in Adversarial Training for Adversarial Robustness
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbba1232-d5fa-4730-b678-a7c644b39d02 · inbound
Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Recent Advances in Adversarial Training for Adversarial Robustness
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d74cab97-237b-4068-a4f1-6efca894e864 · inbound
Towards Reliable Forgetting: A Survey on Machine Unlearning Verification Recent Advances in Adversarial Training for Adversarial Robustness
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 500fb520-7c2a-42ad-9534-c46a4e9e2a7d · inbound
ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection Recent Advances in Adversarial Training for Adversarial Robustness
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c85c4bf1-a7ea-4d05-b81d-7baac8b779b8 · inbound
Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Recent Advances in Adversarial Training for Adversarial Robustness
Reference 50
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e575069a-9dcc-48ed-8177-767459a1ae9b · inbound
Uncovering and Understanding FPR Manipulation Attack in Industrial IoT Networks Recent Advances in Adversarial Training for Adversarial Robustness
Reference 74
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a9206068-3b73-47f2-b52d-93933fd05c5c · inbound
Improving Feasibility via Fast Autoencoder-Based Projections Recent Advances in Adversarial Training for Adversarial Robustness
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0f3b3c49-4165-475f-9126-ba81b0d0fdea · inbound
Quantum Patches: Enhancing Robustness of Quantum Machine Learning Models Recent Advances in Adversarial Training for Adversarial Robustness
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 06ace71e-52d9-4fd4-85ab-e6da4b9650d0 · inbound
Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs Recent Advances in Adversarial Training for Adversarial Robustness
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 05589211-4ecc-4514-bc85-70b41326880c · inbound
Feature-level analysis and adversarial transfer in rotationally equivariant quantum machine learning Recent Advances in Adversarial Training for Adversarial Robustness
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d4349ddd-87b5-48ed-938a-c546ba0286ca · inbound
Auto-ART: Structured Literature Synthesis and Automated Adversarial Robustness Testing Recent Advances in Adversarial Training for Adversarial Robustness
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 566f5c7c-a8ce-4120-bab7-5538b94457a5 · inbound
CoNewsReader: Supporting Comprehensive Understanding and Raising Critical Thoughts on Social Media News Through Comments Recent Advances in Adversarial Training for Adversarial Robustness
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f95987e0-8c56-48f2-a777-999b38e46631 · inbound
CoNewsReader: Supporting Comprehensive Understanding and Raising Critical Thoughts on Social Media News Through Comments Recent Advances in Adversarial Training for Adversarial Robustness
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 921f9983-66fa-49cf-93cd-65f324ec919e · inbound
Sensitivity as a Double-Edged Sword: A Trade-off Between Discriminability and Adversarial Robustness Recent Advances in Adversarial Training for Adversarial Robustness
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bdc74124-b573-406d-bbe4-5fc0855f6da6 · inbound
Towards Robust Personalized Federated Learning: Vulnerability Assessment and Defense Co-Design Recent Advances in Adversarial Training for Adversarial Robustness
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.