Paper Citation Record · LEDGER

The Impact of Reinitialization on Generalization in Convolutional Neural Networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2109.00267.

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

pith.paper-citation-record.v1
2109.00267 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:53:22.226802Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:50:00.012985Z

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 28fda06e-1d20-47aa-90c0-feb775fe0246 · inbound

Recovering Plasticity of Neural Networks via Soft Weight Rescaling cites this paper.

Recovering Plasticity of Neural Networks via Soft Weight Rescaling The Impact of Reinitialization on Generalization in Convolutional Neural Networks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:22.226802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea127b4d-640d-4f89-925d-53486d92eac3 · inbound

Reinitializing weights vs units for maintaining plasticity in neural networks cites this paper.

Reinitializing weights vs units for maintaining plasticity in neural networks The Impact of Reinitialization on Generalization in Convolutional Neural Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T10:21:45.096030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37de9577-fe5c-4391-9ad6-681b290160cf · inbound

Optimizing sparse quantum state preparation with measurement and feedforward cites this paper.

Optimizing sparse quantum state preparation with measurement and feedforward The Impact of Reinitialization on Generalization in Convolutional Neural Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:15.188402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ba938d3-b709-4c43-9a27-7f19d55fdc74 · inbound

Can Scale Save Us From Plasticity Loss in Large Language Models? cites this paper.

Can Scale Save Us From Plasticity Loss in Large Language Models? The Impact of Reinitialization on Generalization in Convolutional Neural Networks

Reference 108

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:50:00.014597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.