Paper Citation Record · LEDGER

Adversarial Robustness Toolbox v1.0.0

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:1807.01069.

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

pith.paper-citation-record.v1
1807.01069 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:45:41.090835Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:09:38.818399Z

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 f5ea9337-a985-4565-8914-c733db3353a7 · inbound

Measuring the Transferability of Adversarial Examples cites this paper.

Measuring the Transferability of Adversarial Examples Adversarial Robustness Toolbox v1.0.0

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-24T21:29:57.928299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 55f34aeb-6f49-428c-8f46-30cd6f758205 · inbound

Survival of the Cheapest: Cost-Aware Hardware Adaptation for Adversarial Robustness cites this paper.

Survival of the Cheapest: Cost-Aware Hardware Adaptation for Adversarial Robustness Adversarial Robustness Toolbox v1.0.0

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T21:15:49.317389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 61eaeae6-d6a3-4d91-9027-1d7983e43aee · inbound

DURA-CPS: A Multi-Role Orchestrator for Dependability Assurance in LLM-Enabled Cyber-Physical Systems cites this paper.

DURA-CPS: A Multi-Role Orchestrator for Dependability Assurance in LLM-Enabled Cyber-Physical Systems Adversarial Robustness Toolbox v1.0.0

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:41.090835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe047785-449a-4bba-8fc8-9cf6eb721425 · inbound

SDN-Based False Data Detection With Its Mitigation and Machine Learning Robustness for In-Vehicle Networks cites this paper.

SDN-Based False Data Detection With Its Mitigation and Machine Learning Robustness for In-Vehicle Networks Adversarial Robustness Toolbox v1.0.0

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T05:58:20.766497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 404855ee-5ebc-445b-8c2b-ca9cd27dec19 · inbound

An Attack Method for Medical Insurance Claim Fraud Detection based on Generative Adversarial Network cites this paper.

An Attack Method for Medical Insurance Claim Fraud Detection based on Generative Adversarial Network Adversarial Robustness Toolbox v1.0.0

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:27:52.142469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c42ebb42-a6d2-4e01-8f55-c2fd298bbd5c · inbound

Securing AI Systems: A Guide to Known Attacks and Impacts cites this paper.

Securing AI Systems: A Guide to Known Attacks and Impacts Adversarial Robustness Toolbox v1.0.0

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T21:50:27.050580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcb312f9-f28e-4d24-b575-aa13b0952d13 · inbound

Leveraging Trustworthy AI for Automotive Security in Multi-Domain Operations: Towards a Responsive Human-AI Multi-Domain Task Force for Cyber Social Security cites this paper.

Leveraging Trustworthy AI for Automotive Security in Multi-Domain Operations: Towards a Responsive Human-AI Multi-Domain Task Force for Cyber Social Security Adversarial Robustness Toolbox v1.0.0

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T14:51:29.025105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b615e48-459f-49c0-9ee0-f71ad2e4877c · inbound

Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation cites this paper.

Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation Adversarial Robustness Toolbox v1.0.0

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T11:59:40.429887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e61db9c-cf58-4998-acdb-f9bcb98c17b3 · inbound

UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks cites this paper.

UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks Adversarial Robustness Toolbox v1.0.0

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T09:10:41.351794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b92b428-0b30-48d3-ade2-677e5317f9ec · inbound

Lipschitz-Based Robustness Certification Under Floating-Point Execution cites this paper.

Lipschitz-Based Robustness Certification Under Floating-Point Execution Adversarial Robustness Toolbox v1.0.0

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-15T14:07:56.936206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1113e6c8-2b04-4507-a19c-f8b4a0e8f3d0 · inbound

Lipschitz-Based Robustness Certification Under Floating-Point Execution cites this paper.

Lipschitz-Based Robustness Certification Under Floating-Point Execution Adversarial Robustness Toolbox v1.0.0

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T18:47:59.430867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1127e324-e9b0-477d-bdab-acfa2c8b4a81 · inbound

QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits cites this paper.

QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits Adversarial Robustness Toolbox v1.0.0

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:40:57.754023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4b0fd0ce-8dfc-4cfe-84fe-5092e27167b8 · inbound

QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits cites this paper.

QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits Adversarial Robustness Toolbox v1.0.0

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T05:31:09.910840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d8f6f48-c4a2-4b0b-a2df-948dbe0fe04a · inbound

Evaluating Differential Privacy Against Membership Inference in Federated Learning: Insights from the NIST Genomics Red Team Challenge cites this paper.

Evaluating Differential Privacy Against Membership Inference in Federated Learning: Insights from the NIST Genomics Red Team Challenge Adversarial Robustness Toolbox v1.0.0

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:00:58.155268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5682dedc-ffa7-4dfc-bd89-0881b3f6fcbe · inbound

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

Auto-ART: Structured Literature Synthesis and Automated Adversarial Robustness Testing Adversarial Robustness Toolbox v1.0.0

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:39:48.191438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b9220d7-af71-4a84-b884-ba5f45cf1f51 · inbound

AVISE: Framework for Evaluating the Security of AI Systems cites this paper.

AVISE: Framework for Evaluating the Security of AI Systems Adversarial Robustness Toolbox v1.0.0

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:24:47.405852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1dd57bf5-f8c5-4a4a-95cd-afcdcf12b31e · inbound

Multi-Dimensional Model Integrity and Responsibility Assessment Index and Scoring Framework cites this paper.

Multi-Dimensional Model Integrity and Responsibility Assessment Index and Scoring Framework Adversarial Robustness Toolbox v1.0.0

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:59:38.872766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd397cb2-6659-4d83-a7df-4958dc74e032 · inbound

SAFE Quantum Machine Learning with Variational Quantum Classifiers cites this paper.

SAFE Quantum Machine Learning with Variational Quantum Classifiers Adversarial Robustness Toolbox v1.0.0

Reference 64

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:49:00.594638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1f65d54e-cd75-4574-acad-d39c82be447e · inbound

Adversarial Fragility and Language Vulnerability in Clinical AI: A Systematic Audit of Diagnostic Collapse Under Imperceptible Perturbations and Cross-Lingual Drift in Low-Resource Healthcare Settings cites this paper.

Adversarial Fragility and Language Vulnerability in Clinical AI: A Systematic Audit of Diagnostic Collapse Under Imperceptible Perturbations and Cross-Lingual Drift in Low-Resource Healthcare Settings Adversarial Robustness Toolbox v1.0.0

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-19T19:22:44.783451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d2bbb91b-5f27-4d6d-bb7a-945ac7309a8f · inbound

STRIDE-AI: A Threat Modeling Framework for Generative AI Security Assessment cites this paper.

STRIDE-AI: A Threat Modeling Framework for Generative AI Security Assessment Adversarial Robustness Toolbox v1.0.0

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T14:18:21.330037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0a740d65-88fa-46a8-b89b-bd38f385f6b6 · inbound

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics cites this paper.

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics Adversarial Robustness Toolbox v1.0.0

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T14:28:21.477850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b08a790f-e61d-45ff-8c74-1378d6851c8c · inbound

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics cites this paper.

FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics Adversarial Robustness Toolbox v1.0.0

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T19:05:00.936374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c5beb819-6b94-4256-bd32-65ba43a2c05b · inbound

A No-Defense Defense Against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More? cites this paper.

A No-Defense Defense Against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More? Adversarial Robustness Toolbox v1.0.0

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T13:18:18.269497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 910ecd22-714f-4d07-943c-c836fad63e04 · inbound

ERTS: Adversarial Robustness Testing of Ethical AI via Semantic Perturbation in a Bounded Consequence Space cites this paper.

ERTS: Adversarial Robustness Testing of Ethical AI via Semantic Perturbation in a Bounded Consequence Space Adversarial Robustness Toolbox v1.0.0

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T15:08:32.581306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b94051c-855b-4816-be82-1429f1d6b92f · inbound

Enhancing Stateful Detection of Adversarial Attacks with Soft-labels' Temporality and Robust Similarity Approximations cites this paper.

Enhancing Stateful Detection of Adversarial Attacks with Soft-labels' Temporality and Robust Similarity Approximations Adversarial Robustness Toolbox v1.0.0

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T07:09:38.820139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e7baad3-3129-4b90-b69c-7a9bbe0fd8dd · inbound

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks cites this paper.

Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks Adversarial Robustness Toolbox v1.0.0

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T11:36:54.745641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.