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Paper Citation Record · LEDGER

Stochastic Recursive Gradient Algorithm for Nonconvex Optimization

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1705.07261.

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

pith.paper-citation-record.v1
1705.07261 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 2026-08-14T10:41:34.769327Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-29T05:43:08.869845Z

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 05bca6a4-c1a6-4258-b4cf-5f3a1f2c667c · inbound

Accelerating Mini-batch SARAH by Step Size Rules cites this paper.

Accelerating Mini-batch SARAH by Step Size Rules Stochastic Recursive Gradient Algorithm for Nonconvex Optimization

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-25T20:07:08.537502Z

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.

source=pdf_text observed=2026-05-25T20:03:01.738514Z digest=sha256:9a936b13242f243fcb7002a35721d5df83c982bd793b60e3682fcbc29998d324

Observation 45d40c13-af2c-448e-99db-c15f82ab4383 · inbound

Stochastic AUC Maximization with Deep Neural Networks cites this paper.

Stochastic AUC Maximization with Deep Neural Networks Stochastic Recursive Gradient Algorithm for Nonconvex Optimization

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-14T10:41:34.769327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:41:34.769327Z digest=sha256:caaf61c433f92c72c031823ea86ce518a82d428d95f9fd7442ed980902da96b8

Observation 3f2a9ec6-1ccb-468c-bb19-2d2e95021808 · inbound

MARS: Unleashing the Power of Variance Reduction for Training Large Models cites this paper.

MARS: Unleashing the Power of Variance Reduction for Training Large Models Stochastic Recursive Gradient Algorithm for Nonconvex Optimization

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-12T19:43:01.913923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:43:01.913923Z digest=sha256:89be31257d4885c99b9cce530727373c615de18e16cdc3444116ad35109fb8e4

Observation 89ba97dd-6e22-4fd5-a3ba-ef1675ae95a5 · inbound

OptMuon: Closed-Loop Orthogonalized Momentum Methods for Stochastic Optimization with Zero-Noise Optimality cites this paper.

OptMuon: Closed-Loop Orthogonalized Momentum Methods for Stochastic Optimization with Zero-Noise Optimality Stochastic Recursive Gradient Algorithm for Nonconvex Optimization

Reference 187

Resolution
verified exact
local_arxiv, observed 2026-06-29T05:43:08.873421Z

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.

source=arxiv_source observed=2026-06-29T05:33:27.870787Z digest=sha256:b0ec4e09b3c2a33d8fe0f8d938145910e3a44593d9400944b362ca088c804015