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Paper Citation Record · LEDGER

Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.16108.

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

pith.paper-citation-record.v1
2309.16108 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T14:47:04.288770Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T14:51:42.814105Z

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 2b701df4-dc16-463a-9a24-fd2802db01a6 · inbound

LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data cites this paper.

LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:51:42.817144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T14:47:04.288770Z digest=sha256:2fc9f6200c1fed855a442b6fce9ad04e4ef2b17565392aaff67691a7b5a69106

Observation fb0b1aec-6e16-4de8-acec-7229d60d4ad6 · inbound

Using Deep Learning Models Pretrained by Self-Supervised Learning for Protein Localization cites this paper.

Using Deep Learning Models Pretrained by Self-Supervised Learning for Protein Localization Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:36:02.330867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T15:56:18.653793Z digest=sha256:2d4471d5fa78bf98a8ffbafb4f40711fd0a1247609192bbada5038c78b0ab772

Observation fbb9ca86-2383-4d2f-8546-01b0a7f39086 · inbound

LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift cites this paper.

LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T11:18:13.726145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T11:16:01.428052Z digest=sha256:6c9578d98567f081234a5217e1fc939755990db696d1b4616cd0487bb0660a21