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Paper Citation Record · LEDGER

The SVD of Convolutional Weights: A CNN Interpretability Framework

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2208.06894.

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

pith.paper-citation-record.v1
2208.06894 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:18:11.234759Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:42:46.329351Z

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 afe5a595-7980-4ae0-bf58-4a20232ef1d4 · inbound

LFA applied to CNNs: Efficient Singular Value Decomposition of Convolutional Mappings by Local Fourier Analysis cites this paper.

LFA applied to CNNs: Efficient Singular Value Decomposition of Convolutional Mappings by Local Fourier Analysis The SVD of Convolutional Weights: A CNN Interpretability Framework

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:39.626185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:39.626185Z digest=sha256:85d3360b07570464343cb4e0da8a5aea3ec49a55af0eb1aa68b59aae2f7c6da7

Observation ed574c66-19b8-445f-8590-2e9bf3f1c3c9 · inbound

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging cites this paper.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging The SVD of Convolutional Weights: A CNN Interpretability Framework

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:42:46.422793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T18:42:44.419532Z digest=sha256:605eb3e1bfa91f4952514430c23a4666748d31b8cb453b6c77d97b2e8a3928de

Observation c9d12b1e-958b-4053-92bf-ec84494e6e44 · inbound

A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods cites this paper.

A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods The SVD of Convolutional Weights: A CNN Interpretability Framework

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T04:18:11.234759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:18:11.234759Z digest=sha256:8b9ac8a2dd165f46cfb2df1848d84a41966be82a2f6d3245f03536d001202fcc