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Paper Citation Record · LEDGER

Improving Vision Transformers by Revisiting High-frequency Components

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.00993.

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

pith.paper-citation-record.v1
2204.00993 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T05:17:21.435075Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b0681612-8144-41f5-9eec-8fed9fb2ea18 · inbound

Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in Multiscale Complex Systems cites this paper.

Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in Multiscale Complex Systems Improving Vision Transformers by Revisiting High-frequency Components

Reference 113

Resolution
verified exact
arxiv_id, observed 2026-05-09T19:56:16.556811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-09T19:56:13.911743Z digest=sha256:63b8449e26ee36189146ba6e5623ecef50b94214f049d32bf3274e8a447530ca

Observation 4649da02-eeaa-4eed-b14c-b4a344ecbea3 · inbound

OmniDS: Dual-Stream Context Fusion for Omnidirectional Depth from Fisheye Cameras cites this paper.

OmniDS: Dual-Stream Context Fusion for Omnidirectional Depth from Fisheye Cameras Improving Vision Transformers by Revisiting High-frequency Components

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-12T05:17:21.435075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:17:21.435075Z digest=sha256:4120a89b624e4662e37e363cfe3e23d2f54a64462e0225d987cbc0e99f855d88