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Paper Citation Record · LEDGER

Transformers Meet Visual Learning Understanding: A Comprehensive Review

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.12944.

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

pith.paper-citation-record.v1
2203.12944 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:29:49.415176Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:26:24.903492Z

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 1e4917ca-a645-4bd1-bca1-97e342919c91 · inbound

TransRAD: Retentive Vision Transformer for Enhanced Radar Object Detection cites this paper.

TransRAD: Retentive Vision Transformer for Enhanced Radar Object Detection Transformers Meet Visual Learning Understanding: A Comprehensive Review

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T04:29:49.415176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:29:49.415176Z digest=sha256:0faada326b961f81a7cb36b7286f66221fc03c77344eef4cef25981ee226a2ed

Observation e3c9dd25-d4c8-4e25-8352-5f5741a8a872 · inbound

Attention-based graph neural networks: a survey cites this paper.

Attention-based graph neural networks: a survey Transformers Meet Visual Learning Understanding: A Comprehensive Review

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:26:24.907254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-12T01:07:43.805485Z digest=sha256:ca19d4e96ec1cc9b85ccfe8aec163d92124cabc16dbfd9adfd0f3f77ddb9cfed