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Paper Citation Record · LEDGER

RepVGG: Making VGG-style ConvNets Great Again

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.03697.

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

pith.paper-citation-record.v1
2101.03697 v3

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:26:05.111775Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 112dbd3b-bb26-470a-a3c8-490844217460 · inbound

Depth-Regularized JEPA World Models Learn More Transferable Representations from Real Outdoor Robot Data cites this paper.

Depth-Regularized JEPA World Models Learn More Transferable Representations from Real Outdoor Robot Data RepVGG: Making VGG-style ConvNets Great Again

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T05:26:05.111775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:26:05.111775Z digest=sha256:f64162c66fc64694fb3134b9ddaaf8b0e763c734e02fa258fbff87ba506137d2

Observation 396c5a6e-5f78-4711-8747-9513e1e1a419 · inbound

Sign Language Question Answering: A New Task, Benchmark, and Baseline for Sign Language Understanding cites this paper.

Sign Language Question Answering: A New Task, Benchmark, and Baseline for Sign Language Understanding RepVGG: Making VGG-style ConvNets Great Again

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-01T00:45:46.528717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T00:45:46.528717Z digest=sha256:e2ede6bb7acc5d737cceb3bdc9b0e1c0e88a21953fd2867cf5557148efecd0b3