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Paper Citation Record · LEDGER

Unrestricted Adversarial Examples

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1809.08352.

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

pith.paper-citation-record.v1
1809.08352 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:18:13.634994Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T05:49:36.696350Z

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 4ce43ce3-902e-45e6-bd10-61f4a04fb7b9 · inbound

Developing Creative AI to Generate Sculptural Objects cites this paper.

Developing Creative AI to Generate Sculptural Objects Unrestricted Adversarial Examples

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T12:18:13.634994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:18:13.634994Z digest=sha256:c1f3f229c17088e78b1d7c4c38ded6085a1d0f31166ceb69fc76051a596edac2

Observation 2f36f0c6-226c-4e93-8540-f443289ca3ed · inbound

Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation cites this paper.

Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation Unrestricted Adversarial Examples

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T14:14:38.055990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:14:38.055990Z digest=sha256:8f2d477e15a5957e608ebe4c5ed1c0501e2d96c83a9e1f4bb2d738949e6b46dd

Observation d5230f1e-e72d-4ce3-b8df-600c4727888b · inbound

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models cites this paper.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Unrestricted Adversarial Examples

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T20:36:46.747780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:36:46.747780Z digest=sha256:9795ea3a7e5b464bb1e5e312e450c7f6008d0f59fb44cd7d7f066b67298bcb09

Observation 73662b98-7a24-45b6-85c2-08e3fd0e22a7 · inbound

Position: Adversarial ML for LLMs Is Not Making Any Progress cites this paper.

Position: Adversarial ML for LLMs Is Not Making Any Progress Unrestricted Adversarial Examples

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-09T12:47:21.609759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:47:21.609759Z digest=sha256:1a97e429ce8341777a7736b5af97e751dcf2d581c225d6a8afb1f95100be2fa4

Observation 1b71cc6c-ae94-42e5-81b6-546dc925f083 · inbound

Generalizability vs. Counterfactual Explainability Trade-Off cites this paper.

Generalizability vs. Counterfactual Explainability Trade-Off Unrestricted Adversarial Examples

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:27.649750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:57:27.649750Z digest=sha256:e218d9edcf62b6c83bed80619a296bc741c3fc67ba89f147b2d0e5e671919660

Observation 15cd22ed-62d7-41bd-a46a-152c08e336b5 · inbound

Exploiting Neural Audio Codec Latents for Adversarial Audio Attacks cites this paper.

Exploiting Neural Audio Codec Latents for Adversarial Audio Attacks Unrestricted Adversarial Examples

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-04T05:49:36.697768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T15:34:38.141342Z digest=sha256:386c7502f26c7b26d292f3da5079e0f3710e3c5c46ff81ebe7e72f524935b056