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Paper Citation Record · LEDGER

Feature Representation in Convolutional Neural Networks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1507.02313.

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

pith.paper-citation-record.v1
1507.02313 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:25:10.357814Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:20:53.905550Z

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 34d757ed-47cf-4310-b659-71f55c2deb91 · inbound

Explaining Model Overfitting in CNNs via GMM Clustering cites this paper.

Explaining Model Overfitting in CNNs via GMM Clustering Feature Representation in Convolutional Neural Networks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:10.357814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:25:10.357814Z digest=sha256:c7f85d8ba8c197e64e8c21c42232e25351d590210e55c306f54b9a416e2b7308

Observation 0aa307ed-980d-4a3b-86c7-8762f55efaaa · inbound

Collaborative Prediction: To Join or To Disjoin Datasets cites this paper.

Collaborative Prediction: To Join or To Disjoin Datasets Feature Representation in Convolutional Neural Networks

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:20:53.910762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T04:20:52.497917Z digest=sha256:2c6528344a487383d9f289cdb06053604721cf0ae02bc2540e373c49bd6a5845