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Paper Citation Record · LEDGER

SGD: General Analysis and Improved Rates

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1901.09401.

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

pith.paper-citation-record.v1
1901.09401 v4

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:32:33.743464Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T10:17:15.660682Z

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 42c9ebb5-bd7d-480f-b434-23d0018b6bc2 · inbound

Rapid training of Hamiltonian graph networks using random features cites this paper.

Rapid training of Hamiltonian graph networks using random features SGD: General Analysis and Improved Rates

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:17:15.663486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T10:17:00.343410Z digest=sha256:5832f5589e46b3399c4a9e4cc98fe6724081e8b95f74e5250e3d323cc4751b2f

Observation cbcc7641-dd17-465f-87d8-f237f7ed0fbc · inbound

Theoretical Analysis on how Learning Rate Warmup Accelerates Convergence cites this paper.

Theoretical Analysis on how Learning Rate Warmup Accelerates Convergence SGD: General Analysis and Improved Rates

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T21:32:33.743464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:32:33.743464Z digest=sha256:86ce8e4b3da4d46022a38b44b7c68e5f015539435da321a71acf22e24dea76c1