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Paper Citation Record · LEDGER

Sharp Analysis for Nonconvex SGD Escaping from Saddle Points

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1902.00247.

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

pith.paper-citation-record.v1
1902.00247 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:47:24.838188Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T10:25:38.628745Z

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 eb3e17a1-b4ef-4baf-9547-3a00d1b08d10 · inbound

Distributed Learning in Non-Convex Environments -- Part I: Agreement at a Linear Rate cites this paper.

Distributed Learning in Non-Convex Environments -- Part I: Agreement at a Linear Rate Sharp Analysis for Nonconvex SGD Escaping from Saddle Points

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-25T10:25:38.631306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-25T10:24:33.527480Z digest=sha256:219f4c7a78f5329b4d2f9f582d58763a3afc43dbc638e765734818e95a815e26

Observation 041a77e5-032c-4dc6-9e2a-596207357959 · inbound

Distributed Learning in Non-Convex Environments -- Part II: Polynomial Escape from Saddle-Points cites this paper.

Distributed Learning in Non-Convex Environments -- Part II: Polynomial Escape from Saddle-Points Sharp Analysis for Nonconvex SGD Escaping from Saddle Points

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-25T09:55:36.574587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-25T09:52:34.427619Z digest=sha256:39d79ed42e9ac79fa40962f5e27bb724c21c459a75cd4b3cee65e6888f61fe4c

Observation 49d102a4-b65b-4379-a2b8-83c6bdf50fcc · inbound

Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning cites this paper.

Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning Sharp Analysis for Nonconvex SGD Escaping from Saddle Points

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-14T12:47:24.838188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:47:24.838188Z digest=sha256:10008b94623873ad1b53700fdb884daec423f79e88abb99ac58927dce394c205

Observation 37c587e2-a5ef-4239-b9eb-c95e4b85096e · inbound

Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex Optimization cites this paper.

Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex Optimization Sharp Analysis for Nonconvex SGD Escaping from Saddle Points

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-14T12:38:57.677397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:38:57.677397Z digest=sha256:c07da344ae14f346b45ac07c2f777da608c23a220d0f9eab5f64cbe9c703efd6

Observation 984faa96-19da-4a45-b97b-27be49739e0c · inbound

Accelerated Gradient Methods for Nonconvex Optimization: Escape Trajectories From Strict Saddle Points and Convergence to Local Minima cites this paper.

Accelerated Gradient Methods for Nonconvex Optimization: Escape Trajectories From Strict Saddle Points and Convergence to Local Minima Sharp Analysis for Nonconvex SGD Escaping from Saddle Points

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T07:54:09.123919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-24T07:51:59.724176Z digest=sha256:f4abfac9d4fed834d184e57c38839b4ec02390b29360e7747245c4c5fa251670