Paper Citation Record · LEDGER

Discrete Representations Strengthen Vision Transformer Robustness

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2111.10493.

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

pith.paper-citation-record.v1
2111.10493 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:27:45.407046Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:27:04.933577Z

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 b621e74e-3ed4-467e-afc8-b73be037dc33 · inbound

On the Role of Discrete Representation in Sparse Mixture of Experts cites this paper.

On the Role of Discrete Representation in Sparse Mixture of Experts Discrete Representations Strengthen Vision Transformer Robustness

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T10:18:10.220333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abde1ff1-4b82-4a4b-a606-b62764217fe8 · inbound

[MASK] is All You Need cites this paper.

[MASK] is All You Need Discrete Representations Strengthen Vision Transformer Robustness

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T19:29:21.092005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed12b8b9-3f68-430a-bc32-cfeb824a45de · inbound

MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization cites this paper.

MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tokenizer with Multi-group Quantization Discrete Representations Strengthen Vision Transformer Robustness

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T18:32:54.789146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 780d69a4-a7a0-43d6-b9e5-ab1188eeb5fa · inbound

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers cites this paper.

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers Discrete Representations Strengthen Vision Transformer Robustness

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T17:27:45.407046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9319c49-f9b8-4661-a140-0bf0d3dba31a · inbound

ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive Margin cites this paper.

ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive Margin Discrete Representations Strengthen Vision Transformer Robustness

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:12:55.325939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a58d9c7f-8a43-4fd9-975d-4c79685a4658 · inbound

ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive Margin cites this paper.

ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive Margin Discrete Representations Strengthen Vision Transformer Robustness

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:05:06.154382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1421322c-79b0-4171-98ff-4f595c88efe3 · inbound

Derivations of rational vertex operator algebras are inner cites this paper.

Derivations of rational vertex operator algebras are inner Discrete Representations Strengthen Vision Transformer Robustness

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-12T15:05:35.305622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d323204-2006-4882-bbfd-75034bf73633 · inbound

EEGDancer: Dynamic Emotion Latent Space Masked Modeling with Reinforcement Learning for EEG Continuous Emotion Prediction cites this paper.

EEGDancer: Dynamic Emotion Latent Space Masked Modeling with Reinforcement Learning for EEG Continuous Emotion Prediction Discrete Representations Strengthen Vision Transformer Robustness

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:27:04.936184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.