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Paper Citation Record · LEDGER

Optimization on Submanifolds of Convolution Kernels in CNNs

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1610.07008.

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

pith.paper-citation-record.v1
1610.07008 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:14:15.284454Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-21T22:24:23.599011Z

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 fc8b277c-7e2f-48a7-a2a7-51828d040ef1 · inbound

$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning cites this paper.

$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning Optimization on Submanifolds of Convolution Kernels in CNNs

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-21T22:24:23.600749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-21T22:21:54.363591Z digest=sha256:c49e5e081c48c67b1a9ac5290d9d47dce48796568b2371322d22a8d3d3207a7f

Observation f0210488-332d-416e-b7fa-8966309fcaa2 · inbound

An Embarrassingly Simple Way to Optimize Orthogonal Matrices at Scale cites this paper.

An Embarrassingly Simple Way to Optimize Orthogonal Matrices at Scale Optimization on Submanifolds of Convolution Kernels in CNNs

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-02T23:14:15.284454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T23:14:15.284454Z digest=sha256:161b7a2ff4dff1ebce5f94591e14a9ae3166f5c044aa6b4606e3051ec872bda6