Pith. sign in

Paper Citation Record · LEDGER

DaViT: Dual Attention Vision Transformers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.03645.

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

pith.paper-citation-record.v1
2204.03645 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:21:46.704747Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T06:16:28.064256Z

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 f4a45aa2-f316-4681-bef3-bbc69c1454b5 · inbound

SIM-Net: A Multimodal Fusion Network Using Inferred 3D Object Shape Point Clouds from RGB Images for 2D Classification cites this paper.

SIM-Net: A Multimodal Fusion Network Using Inferred 3D Object Shape Point Clouds from RGB Images for 2D Classification DaViT: Dual Attention Vision Transformers

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:21:47.025745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:21:46.704747Z digest=sha256:ff052bf832c220c10a4ee28041dd0db96fe23a97ac0c19d11dd4d8f1a270ed55

Observation 8bb674fe-7cc5-441b-bef4-8809a149bbc2 · inbound

Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective cites this paper.

Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective DaViT: Dual Attention Vision Transformers

Reference 71

Resolution
unresolved
no resolver link, observed 2026-07-11T23:58:47.097757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T23:58:47.097757Z digest=sha256:f7362ac7a24c991517953fa3cb86d3fadeec83f9b05079b9ee0ec8e6b7cd0791