Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1710.10174.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T07:05:09.767632Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T09:59:45.286269Z
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 fd65e0bd-7e58-4025-b00d-769b11c64702 · inbound
ID3 Learns Juntas for Smoothed Product Distributions cites this paper.
ID3 Learns Juntas for Smoothed Product Distributions SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T19:46:10.517807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cbac8a57-899b-448b-b7df-22bd64c42ee6 · inbound
Two-block vs. Multi-block ADMM: An empirical evaluation of convergence cites this paper.
Two-block vs. Multi-block ADMM: An empirical evaluation of convergence SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T23:55:08.398933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1a66cca1-357a-4de0-aa23-dd82b3fce72f · inbound
Mirror Descent Beyond Euclidean Stability: An Exponential Separation in Initialization Sensitivity cites this paper.
Mirror Descent Beyond Euclidean Stability: An Exponential Separation in Initialization Sensitivity SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
Reference 281
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T04:37:36.568722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 460d5b4e-03ab-45e5-b5e9-4c6589f4e4b3 · inbound
GRAIN: Group Aggregation via Min-Norm Objective cites this paper.
GRAIN: Group Aggregation via Min-Norm Objective SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
Reference 50
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T09:59:45.287635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e5e0a0c7-ccb2-45f1-893b-f9068c15de54 · inbound
Convergence of Continual Learning in Homogeneous Deep Networks cites this paper.
Convergence of Continual Learning in Homogeneous Deep Networks SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
Reference 282
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T07:14:21.692731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.