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Paper Citation Record · LEDGER

Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.07434.

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

pith.paper-citation-record.v1
2409.07434 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:08:31.506796Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:25:59.849215Z

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 e8d487e4-8b77-487d-95f7-5d779e1f1a1d · inbound

Improving the Convergence Rates of Forward Gradient Descent with Repeated Sampling cites this paper.

Improving the Convergence Rates of Forward Gradient Descent with Repeated Sampling Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T12:08:31.506796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:08:31.506796Z digest=sha256:4f0e614863be8e211aa934f46d9214c875ee750e09a1c85292c6d5e400f06342

Observation 4cf942dd-7f18-4ff9-ba1b-2a7bc596c937 · inbound

Gaussian Approximation for Asynchronous Q-learning cites this paper.

Gaussian Approximation for Asynchronous Q-learning Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:25:59.852635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T17:11:48.816106Z digest=sha256:f1d4eeda0cee5dceb92485ba177bb03bd5a571c6fc411a1102e2785a02d4dce4