Paper Citation Record · LEDGER

Rethinking Vision Transformers for MobileNet Size and Speed

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2212.08059.

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

pith.paper-citation-record.v1
2212.08059 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:50:02.478584Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:58:39.779072Z

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 920b8e25-02cf-47b3-9266-13d5f65bb66f · inbound

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images cites this paper.

Cascaded Multi-Scale Attention for Enhanced Multi-Scale Feature Extraction and Interaction with Low-Resolution Images Rethinking Vision Transformers for MobileNet Size and Speed

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T23:50:02.478584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fae843d-5515-475b-b50a-2f0188c7220b · inbound

RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone cites this paper.

RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone Rethinking Vision Transformers for MobileNet Size and Speed

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T15:28:55.486524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3483c8f-8267-46e6-93ff-0f99e5820c1f · inbound

VCMamba: Bridging Convolutions with Multi-Directional Mamba for Efficient Visual Representation cites this paper.

VCMamba: Bridging Convolutions with Multi-Directional Mamba for Efficient Visual Representation Rethinking Vision Transformers for MobileNet Size and Speed

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:58:39.830062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 34ac7d7a-da21-40d6-a7d2-a131903b1db4 · inbound

I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation cites this paper.

I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation Rethinking Vision Transformers for MobileNet Size and Speed

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:09.390714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.