Paper Citation Record · LEDGER

Discrete Representations Strengthen Vision Transformer Robustness

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 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 2026-08-06T18:32:54.789146Z

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