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Paper Citation Record · LEDGER

Going Grayscale: The Road to Understanding and Improving Unlearnable Examples

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2111.13244.

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

pith.paper-citation-record.v1
2111.13244 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:00:15.697771Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T20:42:57.368369Z

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 4a99b553-a5a8-4843-a2d5-6e1945917fd4 · inbound

Securing Traffic Sign Recognition Systems in Autonomous Vehicles cites this paper.

Securing Traffic Sign Recognition Systems in Autonomous Vehicles Going Grayscale: The Road to Understanding and Improving Unlearnable Examples

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:58:07.808164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:07.808164Z digest=sha256:cb926f2875abb546c19e32d772ac258db6275aa9a4477ca73c7eec1515b9f6f8

Observation 77caadef-6dda-413f-b26c-09b6fdeb1b83 · inbound

SoK: Unlearnability and Unlearning for Model Dememorization cites this paper.

SoK: Unlearnability and Unlearning for Model Dememorization Going Grayscale: The Road to Understanding and Improving Unlearnable Examples

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:47:04.248103Z

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.

source=pdf_text observed=2026-05-13T01:43:44.193175Z digest=sha256:45222b36529c7a95ea57ab43b2cdd23e833759f19ba76760b28b9dd34bd043b8

Observation 4fb2ebe8-69bd-4fa8-93f0-0fea79cb8137 · inbound

SoK: A Comprehensive Analysis of the Current Status of Neural Tangent Generalization Attacks with Research Directions cites this paper.

SoK: A Comprehensive Analysis of the Current Status of Neural Tangent Generalization Attacks with Research Directions Going Grayscale: The Road to Understanding and Improving Unlearnable Examples

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:42:57.371673Z

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.

source=pdf_text observed=2026-05-14T20:41:10.931383Z digest=sha256:1108999daeb59aa6a8d6dffa7fdd291e6ebbad9879b6d23fcb5b3bf5e34280b8

Observation 6a92c287-45cd-4018-87e2-6bfcff1f0bb2 · inbound

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders cites this paper.

DiffUE: Enhancing Utility-Unlearnability Trade-off of Unlearnable Examples via Diffusion Autoencoders Going Grayscale: The Road to Understanding and Improving Unlearnable Examples

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-14T10:41:43.164852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:41:43.164852Z digest=sha256:b6a3c48cc2bc1dfff36dc1a57c061530d284b03963275484b7786f700a037db2

Observation 7e9391c6-7110-458c-8d56-6e85f804df96 · inbound

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle cites this paper.

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle Going Grayscale: The Road to Understanding and Improving Unlearnable Examples

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-08T20:00:15.697771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:00:15.697771Z digest=sha256:e0a670a4fb47dc9ebd537f6a8edc7f64b52bb4b2981dd75eb423b649b6764af7