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Paper Citation Record · LEDGER

TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.19380.

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

pith.paper-citation-record.v1
2310.19380 v4

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:48:26.402855Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:08:56.129914Z

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 b40864a8-7efa-42fd-9510-9c9f897ca972 · inbound

One Pixel is All I Need cites this paper.

One Pixel is All I Need TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T15:48:26.402855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:48:26.402855Z digest=sha256:155de67cdca6c8438f3c4f9050c72ba2c822c71eef91e3c4b8992cc04abf285d

Observation b29f2ebe-c873-406a-ace6-374b737481c9 · inbound

Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation cites this paper.

Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-11T00:08:56.134485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T00:08:55.882235Z digest=sha256:0aaaf4b4d547e35f045e12f54795e3777ec5d8b401adac12f2efbc99287f9067