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Paper Citation Record · LEDGER

Certified Defenses against Adversarial Examples

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1801.09344.

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

pith.paper-citation-record.v1
1801.09344 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:18:14.510095Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T16:23:39.422776Z

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 fe46f21d-0950-445d-a84b-d1e8e2c6de7e · inbound

Unsupervised dense retrieval with conterfactual contrastive learning cites this paper.

Unsupervised dense retrieval with conterfactual contrastive learning Certified Defenses against Adversarial Examples

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T23:18:14.510095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:18:14.510095Z digest=sha256:a4ddc2a503f800da42ea2f7d395fd6b12032460406085cab0ec518b7a4336cb1

Observation 8379c6bc-44fe-45e9-bf26-bcd75a1b450b · inbound

Enhancing Adversarial Transferability via Component-Wise Transformation cites this paper.

Enhancing Adversarial Transferability via Component-Wise Transformation Certified Defenses against Adversarial Examples

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T17:51:49.825243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:51:49.825243Z digest=sha256:c54d5dc4be16704d16af7261625aa13579342d653761295492a420ab3ec4c633

Observation c1eaec99-b880-4a1a-90f3-f45257c613b3 · inbound

Robust Representation Consistency Model via Contrastive Denoising cites this paper.

Robust Representation Consistency Model via Contrastive Denoising Certified Defenses against Adversarial Examples

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T16:32:20.794786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:32:20.794786Z digest=sha256:d160f28169ab52801277dd20b9d407f02f3a817145f910fef512eb97519928c7

Observation 656b2c06-b0ba-4098-99a5-fa504cd04b4f · inbound

TorchLean: Formalizing Neural Networks in Lean cites this paper.

TorchLean: Formalizing Neural Networks in Lean Certified Defenses against Adversarial Examples

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-02T20:45:42.220213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:45:42.220213Z digest=sha256:b28ee8099852b02a30fb7610562c1e83fb1f88865f9bfc1f676865bd0fb74e59

Observation 63908227-aee4-4bed-a0a0-54e4b1eae2eb · inbound

Machine Learning Enhanced Laser Spectroscopy for Multi-Species Gas Detection in Complex and Harsh Environments cites this paper.

Machine Learning Enhanced Laser Spectroscopy for Multi-Species Gas Detection in Complex and Harsh Environments Certified Defenses against Adversarial Examples

Reference 198

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:11:10.307060Z

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.

source=pdf_text observed=2026-05-09T18:33:03.300592Z digest=sha256:7e52b1418cdd8796274d867489763c989bf58ef1c12e60d6bcf244c9b201a4d4

Observation ed90e3c9-77d0-43a8-97be-14e4390c8e60 · inbound

A New Framework to Analyse the Distributional Robustness of Deep Neural Networks cites this paper.

A New Framework to Analyse the Distributional Robustness of Deep Neural Networks Certified Defenses against Adversarial Examples

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:53:59.204308Z

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.

source=pdf_text observed=2026-05-21T05:51:22.877865Z digest=sha256:6639849d80e0ba45bbbf184f395cbcf42cbcda04a0c151064c6ab305a5df27de

Observation f6724ee7-185f-41ee-8d25-374b9efd57c6 · inbound

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial cites this paper.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Certified Defenses against Adversarial Examples

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-06-29T16:23:39.424150Z

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.

source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:37dfed9588cf6368fec299c1bd799fab6378885f7e72236c410fb66de5f37056