Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2003.01690.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:30:21.286102Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
436
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 94c1bce4-f1b1-4293-ab35-5d2d95fd3129 · inbound
HEM: a margin-based loss for visual categorisation tasks cites this paper.
HEM: a margin-based loss for visual categorisation tasks Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:30:21.286102Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c851804-4247-479b-8407-5900e1c61080 · inbound
Adversarial Examples Are Not Bugs, They Are Superposition cites this paper.
Adversarial Examples Are Not Bugs, They Are Superposition Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:56:07.971877Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c672313d-f70b-48da-99cc-72b1794fda10 · inbound
NeuroTrace: Inference Provenance-Based Detection of Adversarial Examples cites this paper.
NeuroTrace: Inference Provenance-Based Detection of Adversarial Examples Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:51:02.043694Z
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 eccb6f1e-ebde-433e-af15-8b560b1c79f3 · inbound
Auto-ART: Structured Literature Synthesis and Automated Adversarial Robustness Testing cites this paper.
Auto-ART: Structured Literature Synthesis and Automated Adversarial Robustness Testing Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:39:48.178264Z
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 8a5b8252-0bad-4ede-88da-4d85e7608ec6 · inbound
SORA: Free Second-Order Attacks in Fast Adversarial Training cites this paper.
SORA: Free Second-Order Attacks in Fast Adversarial Training Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T19:12:35.086523Z
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 abe10585-b5d0-4c84-b673-8daa8209ea1d · inbound
A combination of noise and bilateral filters achieve supralinear and scalable adversarial robustness in CNNs cites this paper.
A combination of noise and bilateral filters achieve supralinear and scalable adversarial robustness in CNNs Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T22:26:17.806860Z
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 51d3bd4e-d395-40d1-a859-c1eb5d5d6a7d · inbound
Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.
Toward Calibrated, Fair, and accurate Deepfake Detection Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T07:11:45.169761Z
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 de3c4701-412d-4acb-8dd5-e3329bb092c8 · inbound
Securing Multimodal AI through Internal Information Decomposition cites this paper.
Securing Multimodal AI through Internal Information Decomposition Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T15:02:58.558426Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.