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Paper Citation Record · LEDGER

The SVD of Convolutional Weights: A CNN Interpretability Framework

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:39.626185Z

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=sha256:703ffee630f609cb0dd3cb108465247bcfa947df2ae4ec3c40c619a62f66e4f7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:42:44.419532Z digest=sha256:748e1648d0595f92868cf348068297159793c2921523233ca23a5792db96327d