Paper Citation Record · LEDGER

When Are Nonconvex Problems Not Scary?

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1510.06096.

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

pith.paper-citation-record.v1
1510.06096 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:32:19.370781Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T11:46:55.219319Z

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 31cad418-36fc-4f86-8d5f-3ed06b099bc4 · inbound

Short-and-Sparse Deconvolution -- A Geometric Approach cites this paper.

Short-and-Sparse Deconvolution -- A Geometric Approach When Are Nonconvex Problems Not Scary?

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-14T10:32:19.370781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02b1b161-ad07-497e-8790-25d351314735 · inbound

Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem cites this paper.

Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem When Are Nonconvex Problems Not Scary?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T13:50:05.758398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0de661c6-0579-48f0-8cd9-7551f59e1222 · inbound

Second-order methods for provably escaping strict saddle points in composite nonconvex and nonsmooth optimization cites this paper.

Second-order methods for provably escaping strict saddle points in composite nonconvex and nonsmooth optimization When Are Nonconvex Problems Not Scary?

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T22:17:58.531907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2eabfebd-5973-445d-86ee-edd73777cffb · inbound

The Optimization Landscape of Carath\'eodory Decomposition of Toeplitz Covariances cites this paper.

The Optimization Landscape of Carath\'eodory Decomposition of Toeplitz Covariances When Are Nonconvex Problems Not Scary?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T00:25:16.469676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a259426-77ac-4960-88f5-fe224b2ecc7c · inbound

Convergence of difference inclusions via a diameter criterion cites this paper.

Convergence of difference inclusions via a diameter criterion When Are Nonconvex Problems Not Scary?

Reference 245

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T02:23:31.795336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 62a2fc1b-a708-4ff5-9826-387102365028 · inbound

When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks cites this paper.

When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks When Are Nonconvex Problems Not Scary?

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-07-02T07:16:44.871423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 08051c89-d778-4193-8524-4a9ea061987b · inbound

Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory cites this paper.

Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory When Are Nonconvex Problems Not Scary?

Reference 98

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T11:46:55.220778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4bd345a8-b0dd-4ec8-a96f-eeca0633f5a5 · inbound

Stochastic Saddle Avoidance Beyond Unit Excitation and Smoothness: A Pathwise Lyapunov-Perron Framework cites this paper.

Stochastic Saddle Avoidance Beyond Unit Excitation and Smoothness: A Pathwise Lyapunov-Perron Framework When Are Nonconvex Problems Not Scary?

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-08T04:30:37.176306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.