Paper Citation Record · LEDGER

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities

As of 11 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2501.07044.

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

pith.paper-citation-record.v1
2501.07044 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:53:52.268435Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy19
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 32fbbdfe-6a15-4328-9bef-f2f591dd0ed5 · outbound

This paper cites Artificial intelligence for the metaverse: A survey[J].

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Artificial intelligence for the metaverse: A survey[J]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.779727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 59984a55-e333-41b7-8d96-63806486d985 · outbound

This paper cites A survey on metaverse: Fundamentals, security, and privacy[J].

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities A survey on metaverse: Fundamentals, security, and privacy[J]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.763789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 42624466-d34d-4528-96e2-9ce03e5385af · outbound

This paper cites A survey on vision transformer[J].

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities A survey on vision transformer[J]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.748774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9d49a1a2-7ee9-408e-ad89-a39ce794f777 · outbound

This paper cites Attention is all you need[J].

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Attention is all you need[J]

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:52.130846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 481ac656-b5da-4524-a74c-803a2c1e66ab · outbound

This paper cites Scaling vision transform- ers to 22 billion parameters[C]//International Conference on Machine Learning.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Scaling vision transform- ers to 22 billion parameters[C]//International Conference on Machine Learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.724274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0b385935-5f85-4fbd-9c29-9554ff96355e · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:52.140411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d06fa0e4-c981-442c-bd55-5c50b807d3d8 · outbound

This paper cites ”Towards robust vision transformer.” Proceedings of the IEEE/CVF conference on Computer Vision and Pattern Recogni- tion.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities ”Towards robust vision transformer.” Proceedings of the IEEE/CVF conference on Computer Vision and Pattern Recogni- tion

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.709803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a99d1ad5-4c15-44b4-a573-8293807d5f2c · outbound

This paper cites ”Scalable diffusion models with transformers.” Proceedings of the IEEE/CVF International Conference on Computer Vision.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities ”Scalable diffusion models with transformers.” Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.694896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a6a181fb-18f9-4c94-b897-7e1d97df5008 · outbound

This paper cites Towards transferable adversarial attacks on vision transformers[C]//Proceedings of the AAAI Conference on Artificial Intelligence.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Towards transferable adversarial attacks on vision transformers[C]//Proceedings of the AAAI Conference on Artificial Intelligence

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.679578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ad7dca9e-55c7-4218-862f-628f0561c90a · outbound

This paper cites Transformers in vision: A survey[J].

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Transformers in vision: A survey[J]

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.665169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9d2447a6-b5c7-4893-a68e-c6d788683261 · outbound

This paper cites (2021, July).

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities (2021, July)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.651291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a2ba5ba2-b0fb-447d-ab3c-21688d8c8f7f · outbound

This paper cites & Guo, B.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities & Guo, B

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.637487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 057772e3-cc2a-4514-bafc-a7f500429288 · outbound

This paper cites Transformer in transformer[J].

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Transformer in transformer[J]

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.622718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7b367656-0398-4d68-ba47-c5a17df03400 · outbound

This paper cites Twins: Revisiting the design of spatial attention in vision transformers[J].

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Twins: Revisiting the design of spatial attention in vision transformers[J]

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.606701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 61c68d17-f42a-4247-b112-6fc44e757630 · outbound

This paper cites J., & Bengio, S.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities J., & Bengio, S

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.588911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e64c74a8-46ab-4407-84ef-f09f98547675 · outbound

This paper cites an unresolved cited work.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:53:52.573817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 94322d23-6976-4325-a206-f741858c55f8 · outbound

This paper cites B., & Swami, A.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities B., & Swami, A

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.559735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b03a3772-15cb-4d00-b612-440208d24013 · outbound

This paper cites Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:52.203400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18a49db3-53d4-497f-9379-ef8df33250a4 · outbound

This paper cites Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:52.208051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6b46fe4-725e-4eb8-9ee4-0e6cad14d1bc · outbound

This paper cites Detecting Adversarial Samples from Artifacts.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Detecting Adversarial Samples from Artifacts

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:52.212717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1c74fce-0c7b-4389-8864-c4dd40d25bf2 · outbound

This paper cites J., Li, K., & Fei-Fei, L.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities J., Li, K., & Fei-Fei, L

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.544409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 76091f50-8016-40bb-9761-20ee0576b175 · outbound

This paper cites Vision Transformer for Small-Size Datasets.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Vision Transformer for Small-Size Datasets

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:52.221540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fe1b24d-ec8d-473f-84d1-711867ba155f · outbound

This paper cites Review of artificial intelligence adversarial attack and defense technologies[J].

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Review of artificial intelligence adversarial attack and defense technologies[J]

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.527963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1dfb869b-ce86-42c2-8195-918b6c5b8d84 · outbound

This paper cites Adversarial Attacks and Defences: A Survey.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Adversarial Attacks and Defences: A Survey

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:52.230972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcf8f954-77ac-4b16-9f19-d2bfd4ee69ea · outbound

This paper cites Threat of adversarial attacks on deep learning in computer vision: A survey[J].

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Threat of adversarial attacks on deep learning in computer vision: A survey[J]

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.512861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d24f3d57-ba4f-4331-a26e-e3beb9190a02 · outbound

This paper cites Interpreting adversarial examples in deep learning: A review[J].

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Interpreting adversarial examples in deep learning: A review[J]

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.498079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 277191c5-33b3-4d54-92df-c3759518d000 · outbound

This paper cites Quantifying Attention Flow in Transformers.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Quantifying Attention Flow in Transformers

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:52.244546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c187f4c-f720-4c4a-a2dc-c137e1cc15b7 · outbound

This paper cites an unresolved cited work.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:53:52.481513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 760054d5-cb63-4097-937d-5aa48b156db0 · outbound

This paper cites (2017, May).

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities (2017, May)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:53:52.464632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9041667b-dc0c-4a45-9b00-74303cc6086b · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Explaining and Harnessing Adversarial Examples

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:52.259178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6e4107c-b9b0-4e0b-be0e-11c78fd502e6 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:52.263774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 267090cc-8b42-480c-9465-3b0ac7cbf600 · outbound

This paper cites Adversarial Logit Pairing.

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Adversarial Logit Pairing

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:52.268435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.