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Paper Citation Record · LEDGER

Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.04354.

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

pith.paper-citation-record.v1
2309.04354 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 2026-08-07T15:23:58.172551Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:43:02.108447Z

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 dc4002fa-a2bd-40fc-8f01-c8a8488f97d7 · inbound

Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks cites this paper.

Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T15:23:58.172551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:23:58.172551Z digest=sha256:9c6e7b8867a5db1a79d5a343b0d98923d5e5e7a229397e5667ccb12837ef5d82

Observation cfb9872f-6a34-4cad-a63a-93f4eae25e72 · inbound

ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts cites this paper.

ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:43:02.111938Z

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=2026-08-05T14:43:01.810291Z digest=sha256:1d1dc1828f975ed504a34ed81d84db79decd9d154123d5f0e396d023663f293f