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Paper Citation Record · LEDGER

AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2105.10190.

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

pith.paper-citation-record.v1
2105.10190 v2

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:32:51.652153Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:51:20.535359Z

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 7953ca69-a6e8-4a5f-8234-f6516e50ab1c · inbound

Torque-Aware Momentum cites this paper.

Torque-Aware Momentum AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T04:32:51.652153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:32:51.652153Z digest=sha256:ee90285428df64d82624f45eebc8bfc17e82a2d763c6821d61905ac98b34de43

Observation 3a75e58b-ed58-499a-b36a-3d6c68fa42d7 · inbound

Evolution of Optimization Methods: Algorithms, Scenarios, and Evaluations cites this paper.

Evolution of Optimization Methods: Algorithms, Scenarios, and Evaluations AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:20.591467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:16:58.221358Z digest=sha256:9f10aef1cf84b083ccc9e0e37983ef67e536a227e4901b48dc07ca1cb3d6cc83