Pith. sign in

Paper Citation Record · LEDGER

ConvNets Match Vision Transformers at Scale

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.16764.

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

pith.paper-citation-record.v1
2310.16764 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:19:30.426590Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:21:08.804552Z

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 83937bf0-75bb-4056-beb6-61815da40c5a · inbound

Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models cites this paper.

Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models ConvNets Match Vision Transformers at Scale

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-16T10:19:30.426590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:19:30.426590Z digest=sha256:15ba3f6afd26958bbc2d748f5a8409fea7cbabf6f5f47dbd29599588ec94b8d8

Observation 2961c958-d7dd-410f-8aed-0ce9911c458d · inbound

There Will Be a Scientific Theory of Deep Learning cites this paper.

There Will Be a Scientific Theory of Deep Learning ConvNets Match Vision Transformers at Scale

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:21:08.808958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-09T20:11:17.616190Z digest=sha256:feaf94105c79ed048d4d29d7a510d809ace8f27842c23f8f232db7c90c43064f