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Paper Citation Record · LEDGER

Perceptual Adversarial Robustness: Defense Against Unseen Threat Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2006.12655.

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

pith.paper-citation-record.v1
2006.12655 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:58:35.701662Z

measured 1 of 1 external citation measurements

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-14T17:11:00.639293Z digest=sha256:f3432884b6ab1a0050da4cb21795c835472ebf76eed97e68fbfca143129cc702

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.

source=pdf_text observed=2026-08-11T15:01:38.945376Z digest=sha256:ce7e93c8f01d7fec4f3eacd59a32bd8682e2ac3d50d5eee66f8f83ea1a597ad3

Observation 4e33ea09-a287-4cba-a2bf-d36c296ee978 · inbound

Combating Falsification of Speech Videos with Live Optical Signatures (Extended Version) cites this paper.

Combating Falsification of Speech Videos with Live Optical Signatures (Extended Version) Perceptual Adversarial Robustness: Defense Against Unseen Threat Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T04:58:35.701662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:58:35.701662Z digest=sha256:bd00ec0069801f8cabcc7bd821554aa1d3b750352dc267a8ae05f3fb91dca252

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.

source=pdf_text observed=2026-08-07T10:59:17.252765Z digest=sha256:3d8cdd9ac8801afd6b30b2fdc850e0de6d599efe5e766da3ddb72b46f57d92a8

Observation 69abe58d-485a-4cd0-867f-eff6fffb529e · inbound

Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments cites this paper.

Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D Environments Perceptual Adversarial Robustness: Defense Against Unseen Threat Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T18:19:07.333476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:19:07.333476Z digest=sha256:60a429421e84df4c5637bf82c7a307a42b9838ed6735ad45e661ad9e5c52db92

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T11:02:39.587803Z digest=sha256:c7cc99c21ce2e660c3dc631a5c43c752d953bfa9357a3f4b9734ed6a5bf382de

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T03:18:07.187385Z digest=sha256:743ed3dae55c894f9544c666c53d278541024b0339106423121af4f80ce61e0f

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-14T20:13:10.814899Z digest=sha256:de703869dbec2fbfd1661d835a938c12d399689e957a7e50dc8392f5af7257c7

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-19T21:53:59.355980Z digest=sha256:d748e63e3cc619a2984c65bbe020862768c96363099aac78ce5a6e48bfecb78d