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Paper Citation Record · LEDGER

Rethinking and Improving Relative Position Encoding for Vision Transformer

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2107.14222.

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

pith.paper-citation-record.v1
2107.14222 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:24:19.868609Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T18:21:55.975427Z

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 5be54fcb-2abf-443a-b293-f1560bde10bf · inbound

LOOPE: Learnable Optimal Patch Order in Positional Embeddings for Vision Transformers cites this paper.

LOOPE: Learnable Optimal Patch Order in Positional Embeddings for Vision Transformers Rethinking and Improving Relative Position Encoding for Vision Transformer

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-22T18:21:55.977966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T18:18:56.091429Z digest=sha256:6260440552037c4a114d855791c85bfb69eb3881ee60bc863a610f9a10feee25

Observation 557afa83-21dd-49d0-a0fd-2d74bdfd10c6 · inbound

Learning to Adapt to Position Bias in Vision Transformer Classifiers cites this paper.

Learning to Adapt to Position Bias in Vision Transformer Classifiers Rethinking and Improving Relative Position Encoding for Vision Transformer

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T20:24:19.868609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:24:19.868609Z digest=sha256:a5bc48c2087db15e6bb9826213066d72e2f7db4898f212f74db5b984a68faadd