Paper Citation Record · LEDGER

Scaling White-Box Transformers for Vision

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.20299.

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

pith.paper-citation-record.v1
2405.20299 v4

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 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:40:22.228956Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:40:03.526620Z

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 37292d9b-0b3b-4440-8f52-346e291a77df · inbound

GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-grained Video-language Learning cites this paper.

GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-grained Video-language Learning Scaling White-Box Transformers for Vision

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T18:40:22.228956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50144da2-00b4-494f-b1d8-38bb92327350 · inbound

Simplifying DINO via Coding Rate Regularization cites this paper.

Simplifying DINO via Coding Rate Regularization Scaling White-Box Transformers for Vision

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T18:32:14.055513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c95a0673-2224-485b-8bb3-e8b6cf349a2c · inbound

Towards White-Box Deep Wireless Sensing cites this paper.

Towards White-Box Deep Wireless Sensing Scaling White-Box Transformers for Vision

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T12:28:48.690808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 655d83cb-be73-42f8-9c8e-1eaf17dfd057 · inbound

Explainable AI for Next-Generation Wireless Physical Layer: Basics, State-of-the-Art, and Open Challenges cites this paper.

Explainable AI for Next-Generation Wireless Physical Layer: Basics, State-of-the-Art, and Open Challenges Scaling White-Box Transformers for Vision

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:40:03.528427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1684edfe-48e2-4086-8002-56413e8af616 · inbound

Attention-Only White-Box Transformer via LeJEPA-Based Self-Supervised Pretraining cites this paper.

Attention-Only White-Box Transformer via LeJEPA-Based Self-Supervised Pretraining Scaling White-Box Transformers for Vision

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T00:18:45.227009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.