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Paper Citation Record · LEDGER

On Improving Adversarial Transferability of Vision Transformers

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2106.04169.

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

pith.paper-citation-record.v1
2106.04169 v3

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 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:23.740062Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:42:33.881760Z

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 fae9c966-f986-460c-8225-d4220815d472 · inbound

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety On Improving Adversarial Transferability of Vision Transformers

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:42:33.885322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-23T04:39:04.591722Z digest=sha256:12dc7b821aa4fb973acf60a7593aa8ae815b72aa36019be914d6b747a76e968a

Observation 323d1daa-8c16-481c-a26a-5b1badc08008 · inbound

TESSER: Transfer-Enhancing Adversarial Attacks from Vision Transformers via Spectral and Semantic Regularization cites this paper.

TESSER: Transfer-Enhancing Adversarial Attacks from Vision Transformers via Spectral and Semantic Regularization On Improving Adversarial Transferability of Vision Transformers

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:16:23.740062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:23.740062Z digest=sha256:ef157043f7316b45620f82cd432a1a0f9693f1ff16ac2933dbab7e8117c6dd1b

Observation 219af90e-baa5-4099-8c92-86ddd3e2877b · inbound

Attacking Attention of Foundation Models Disrupts Downstream Tasks cites this paper.

Attacking Attention of Foundation Models Disrupts Downstream Tasks On Improving Adversarial Transferability of Vision Transformers

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T11:09:08.714579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:09:08.714579Z digest=sha256:9aa72c480c210b504a46ed40df2a80df32c3c71ddea4e06291eb87446c732a24

Observation cd8dea93-41a9-4e03-a49e-50159a883e20 · inbound

Guaranteed Jailbreaking Defense via Disrupt-and-Rectify Smoothing cites this paper.

Guaranteed Jailbreaking Defense via Disrupt-and-Rectify Smoothing On Improving Adversarial Transferability of Vision Transformers

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:51:27.422730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-12T04:50:08.866969Z digest=sha256:40251722eb0a3255c15e536fcf0a32196f636152c4b4efbb2c23d81252dd6f9e

Observation 625f23a4-efbd-44ee-86d4-3dbfaf7992da · inbound

IGME: Efficient Chained Method Ensemble for Transferable Semantic Segmentation Attacks cites this paper.

IGME: Efficient Chained Method Ensemble for Transferable Semantic Segmentation Attacks On Improving Adversarial Transferability of Vision Transformers

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T07:33:58.324874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:33:58.324874Z digest=sha256:6c676e9044d31263564769391911418d4bc1694e4fbcfce69239cb86d96373db