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Paper Citation Record · LEDGER

The Two Regimes of Deep Network Training

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2002.10376.

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

pith.paper-citation-record.v1
2002.10376 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 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:39:20.921704Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:47:10.316436Z

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 fb70ff31-cc98-45f8-b3e6-9251e85f40ad · inbound

Scaling depth capacity via zero/one-layer model expansion cites this paper.

Scaling depth capacity via zero/one-layer model expansion The Two Regimes of Deep Network Training

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T23:39:20.921704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:39:20.921704Z digest=sha256:8e37238549e074aff70f36fb812408a8a350c6287fdddf7b316b7418bd63120f

Observation af4ae74f-eb05-4c89-b61c-2aa611e68bdf · inbound

Large Spikes in Stochastic Gradient Descent: A Large-Deviations View cites this paper.

Large Spikes in Stochastic Gradient Descent: A Large-Deviations View The Two Regimes of Deep Network Training

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:30:51.012421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T13:30:04.366752Z digest=sha256:4150e051386d109bcbbc1746155a23c1f57feba89095b9ad37905d6c50a765ee

Observation 0edbd5d2-92bf-425f-9cde-d1198c528388 · inbound

Second-Order Path Kernel Interpolation Formulas in Machine Learning cites this paper.

Second-Order Path Kernel Interpolation Formulas in Machine Learning The Two Regimes of Deep Network Training

Reference 64

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:47:10.317683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-27T22:20:15.074286Z digest=sha256:d12a4b0ff429d73643b5b099857fb915be49f23ad4963be5c3b1e26ab02c38d1