Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2006.12655.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:01:38.945376Z
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
19
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 fb00c5a7-e669-4641-8ed6-9c80b2754445 · inbound
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks cites this paper.
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Reference 57
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T17:11:00.872661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fe288952-6c70-4aeb-89f2-7c8c649c997d · inbound
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models cites this paper.
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:01:38.945376Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f78342c-7635-4b82-8066-7e2a2ecee062 · inbound
Diffusion-based Cumulative Adversarial Purification for Vision Language Models cites this paper.
Diffusion-based Cumulative Adversarial Purification for Vision Language Models Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:59:17.252765Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ea7c4b3-a0ee-449b-aa45-094ee4aeda6d · inbound
Beyond Attack Success Rate: A Multi-Metric Evaluation of Adversarial Transferability in Medical Imaging Models cites this paper.
Beyond Attack Success Rate: A Multi-Metric Evaluation of Adversarial Transferability in Medical Imaging Models Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Reference 37
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T11:05:08.738586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation dc25cb33-bbe1-477a-b535-86c1da18b7c0 · inbound
Fortifying Time Series: DTW-Certified Robust Anomaly Detection cites this paper.
Fortifying Time Series: DTW-Certified Robust Anomaly Detection Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:20:55.618918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6813d234-e58a-4329-a148-061a1b300371 · inbound
REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.
REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Reference 172
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:19:26.763841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9676d23d-b236-45d8-80ed-429ccedabdb1 · inbound
Compositional Adversarial Training for Robust Visual Watermarking cites this paper.
Compositional Adversarial Training for Robust Visual Watermarking Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T21:57:48.532430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.