Paper Citation Record · LEDGER

Recent Advances in Adversarial Training for Adversarial Robustness

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2102.01356.

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

pith.paper-citation-record.v1
2102.01356 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:22:06.051469Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:49:45.000270Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 52ec0483-9b4c-4a5f-9eb4-78f315b7c76f · inbound

Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection cites this paper.

Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection Recent Advances in Adversarial Training for Adversarial Robustness

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T14:22:06.051469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dabc317-48a6-459d-ac00-4ff8b655dbe8 · inbound

Approach to Finding a Robust Deep Learning Model cites this paper.

Approach to Finding a Robust Deep Learning Model Recent Advances in Adversarial Training for Adversarial Robustness

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:28.472822Z

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 cites this paper.

SELF: Self-Extend the Context Length With Logistic Growth Function Recent Advances in Adversarial Training for Adversarial Robustness

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:12.280600Z

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 cites this paper.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Recent Advances in Adversarial Training for Adversarial Robustness

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:57.099070Z

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 cites this paper.

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification Recent Advances in Adversarial Training for Adversarial Robustness

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:37:14.085219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 500fb520-7c2a-42ad-9534-c46a4e9e2a7d · inbound

ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection cites this paper.

ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection Recent Advances in Adversarial Training for Adversarial Robustness

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:19:59.758047Z

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 cites this paper.

Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts Recent Advances in Adversarial Training for Adversarial Robustness

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:36.980316Z

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 cites this paper.

Uncovering and Understanding FPR Manipulation Attack in Industrial IoT Networks Recent Advances in Adversarial Training for Adversarial Robustness

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:12:51.233710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a9206068-3b73-47f2-b52d-93933fd05c5c · inbound

Improving Feasibility via Fast Autoencoder-Based Projections cites this paper.

Improving Feasibility via Fast Autoencoder-Based Projections Recent Advances in Adversarial Training for Adversarial Robustness

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:33:10.269381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0f3b3c49-4165-475f-9126-ba81b0d0fdea · inbound

Quantum Patches: Enhancing Robustness of Quantum Machine Learning Models cites this paper.

Quantum Patches: Enhancing Robustness of Quantum Machine Learning Models Recent Advances in Adversarial Training for Adversarial Robustness

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:11:00.234111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 06ace71e-52d9-4fd4-85ab-e6da4b9650d0 · inbound

Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs cites this paper.

Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs Recent Advances in Adversarial Training for Adversarial Robustness

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:35:57.794368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 05589211-4ecc-4514-bc85-70b41326880c · inbound

Feature-level analysis and adversarial transfer in rotationally equivariant quantum machine learning cites this paper.

Feature-level analysis and adversarial transfer in rotationally equivariant quantum machine learning Recent Advances in Adversarial Training for Adversarial Robustness

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:44:38.211940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d4349ddd-87b5-48ed-938a-c546ba0286ca · inbound

Auto-ART: Structured Literature Synthesis and Automated Adversarial Robustness Testing cites this paper.

Auto-ART: Structured Literature Synthesis and Automated Adversarial Robustness Testing Recent Advances in Adversarial Training for Adversarial Robustness

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:39:48.099019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 566f5c7c-a8ce-4120-bab7-5538b94457a5 · inbound

CoNewsReader: Supporting Comprehensive Understanding and Raising Critical Thoughts on Social Media News Through Comments cites this paper.

CoNewsReader: Supporting Comprehensive Understanding and Raising Critical Thoughts on Social Media News Through Comments Recent Advances in Adversarial Training for Adversarial Robustness

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:11:28.738476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f95987e0-8c56-48f2-a777-999b38e46631 · inbound

CoNewsReader: Supporting Comprehensive Understanding and Raising Critical Thoughts on Social Media News Through Comments cites this paper.

CoNewsReader: Supporting Comprehensive Understanding and Raising Critical Thoughts on Social Media News Through Comments Recent Advances in Adversarial Training for Adversarial Robustness

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:08:03.018799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 921f9983-66fa-49cf-93cd-65f324ec919e · inbound

Sensitivity as a Double-Edged Sword: A Trade-off Between Discriminability and Adversarial Robustness cites this paper.

Sensitivity as a Double-Edged Sword: A Trade-off Between Discriminability and Adversarial Robustness Recent Advances in Adversarial Training for Adversarial Robustness

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.361509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bdc74124-b573-406d-bbe4-5fc0855f6da6 · inbound

Towards Robust Personalized Federated Learning: Vulnerability Assessment and Defense Co-Design cites this paper.

Towards Robust Personalized Federated Learning: Vulnerability Assessment and Defense Co-Design Recent Advances in Adversarial Training for Adversarial Robustness

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:49:45.001617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.