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Paper Citation Record · LEDGER

Recent Advances in Adversarial Training for Adversarial Robustness

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.

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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:54:28.472822Z

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 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.

source=pdf_text observed=2026-08-07T14:54:28.472822Z digest=sha256:033c80e24d855a370baa25e77eea84088d15eb52796845fb1e68719ed82fcf47

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.

source=arxiv_source observed=2026-08-07T14:52:12.280600Z digest=sha256:25989cf12c0fa114574605a31746a0d732edd76b65ac08745b68d913c2c1b78b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:57:57.099070Z digest=sha256:4d5c190d2637e4e87effbe21725268eeaac3533892a8d5f9f11bfacd96a4e39a

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T09:35:00.520860Z digest=sha256:bf2b6c64a3c78ec1faedd84fb67dd39560c6e9250d80f40eb899fae3cf5f6c6e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:59.758047Z digest=sha256:a3f49a26c7a33920398c12dc1306fa96409036c0937185fdbfc1966c20526dba

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.

source=pdf_text observed=2026-08-06T17:54:36.980316Z digest=sha256:857821a5195846f99ee87d67fc63366d3de3b3114d9c58acb13ba9b43da561d0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T12:11:22.001624Z digest=sha256:ef974537f1e54e2e5d9be282c7241b96e1a57ecbea79cd980cc2297fd4ec3c71

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T19:29:59.328674Z digest=sha256:e2722df7b1f1690d0971771c40f06331d958c2d0cf19880e16ab1c9c9d2f50ae

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:48:29.222134Z digest=sha256:2a60313479b81eb52ffe375b8e9cf0e46792b844bfffb6c1e5a932029393b069

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:04:05.157103Z digest=sha256:952cfb324df25c8fd62914b05d728122538618d13391b9436dbd319a802e7f95

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T10:30:52.636240Z digest=sha256:50125028948a2605650ac2b18f60bf8f56aad4eaf8d7c8b0cc5e876f211516a3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T00:39:43.196010Z digest=sha256:c55d6a30bfb38870c17da3f1d79d05e86fc2a9f055b68f347776e2ec59c6f80b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T07:04:12.180367Z digest=sha256:2b7826f60d313117d6b844ad5f7165f7f44ff4a15cd61d98647946b808004c2d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T22:07:48.644896Z digest=sha256:b041e4c650643fa70deb1e5594e4f6ca1ba54cce27262e0e82b6749424edcc75

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T15:47:32.681589Z digest=sha256:1b424dbbc0eac2e12b08e57606d594a046292a5bd5887b44ec2f79ae7fa98c56

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T09:21:46.802824Z digest=sha256:804dcc0822eb1ab1e4fab6ddb972ec64f33ede6f300b3d4ad40d5d3b7ad2cd08