Paper Citation Record · LEDGER

O-ViT: Orthogonal Vision Transformer

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2201.12133.

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

pith.paper-citation-record.v1
2201.12133 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:48:39.047836Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T17:48:11.493586Z

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 17a0c326-9070-4e1d-90ff-655278248ec0 · inbound

Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method cites this paper.

Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method O-ViT: Orthogonal Vision Transformer

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:48:39.047836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d78c14f-ab0e-4fb7-a3df-38be4fc0cdfd · inbound

HOFT: Householder Orthogonal Fine-tuning cites this paper.

HOFT: Householder Orthogonal Fine-tuning O-ViT: Orthogonal Vision Transformer

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:04:23.775394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9434384-028e-4733-bfb9-965cd825539b · inbound

Deep Delta Learning cites this paper.

Deep Delta Learning O-ViT: Orthogonal Vision Transformer

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:48:11.495738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8d738a31-40ff-4bd4-bb47-1052488525c2 · inbound

Deep Delta Learning cites this paper.

Deep Delta Learning O-ViT: Orthogonal Vision Transformer

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T13:08:23.608252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2163107b-5f84-4758-975d-3bd113b9227c · inbound

An Embarrassingly Simple Way to Optimize Orthogonal Matrices at Scale cites this paper.

An Embarrassingly Simple Way to Optimize Orthogonal Matrices at Scale O-ViT: Orthogonal Vision Transformer

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T23:14:12.866507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfea9a5d-7fb3-4bb5-a6c9-f2d2ecefe32f · inbound

BOOOM: Loss-Function-Agnostic Black-Box Optimization over Orthonormal Manifolds for Machine Learning and Statistical Inference cites this paper.

BOOOM: Loss-Function-Agnostic Black-Box Optimization over Orthonormal Manifolds for Machine Learning and Statistical Inference O-ViT: Orthogonal Vision Transformer

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:01:09.466493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.