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Paper Citation Record · LEDGER

Reveal of Vision Transformers Robustness against Adversarial Attacks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2106.03734.

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

pith.paper-citation-record.v1
2106.03734 v2

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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:32:59.161249Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T15:27:20.182623Z

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 bffacfca-cccd-46fe-b2b6-cfd3d8afc4aa · inbound

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study cites this paper.

Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Reveal of Vision Transformers Robustness against Adversarial Attacks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T13:32:59.161249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:32:59.161249Z digest=sha256:b52087eafdc0051c3ffe88da7a1f26f59e339703691872cbe2f9e90c19e8a0ef

Observation 37f04a0a-ea52-486d-8ac9-0b1ef9d0a6a8 · inbound

Stable Vision Concept Transformers for Medical Diagnosis cites this paper.

Stable Vision Concept Transformers for Medical Diagnosis Reveal of Vision Transformers Robustness against Adversarial Attacks

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:44.232642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:44.232642Z digest=sha256:e2e014e65231987d638bafe7f567cbbeb3f9b0d30170a0bcae312f574dedc1ca

Observation 7626cca1-6979-4450-a614-393ab109a233 · inbound

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

Attacking Attention of Foundation Models Disrupts Downstream Tasks Reveal of Vision Transformers Robustness against Adversarial Attacks

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T11:09:05.480828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:09:05.480828Z digest=sha256:deeefa84f24a09813be2b767f69fa219b26e6f4c709461b959c19006674bee76

Observation 75e7ab79-8493-46e0-a780-011966754fcb · inbound

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning cites this paper.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Reveal of Vision Transformers Robustness against Adversarial Attacks

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T20:01:11.357380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:01:11.357380Z digest=sha256:4d1fa7ccf41d0df506059dd6661bb7f77f7e1fcb6652c91792cf94942c56b782

Observation e9682c58-0f3d-402a-bdc4-5761a04a0a42 · inbound

Adversarial Decoys: Misdirecting Attention-Based Defenses in ViT cites this paper.

Adversarial Decoys: Misdirecting Attention-Based Defenses in ViT Reveal of Vision Transformers Robustness against Adversarial Attacks

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-10T15:27:20.183849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T15:22:10.143336Z digest=sha256:2ee98b22bb19d60537df224fdfe98a8c89ce54a516b28b301a2581428e33bc7b