Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Optimization Landscape of SGD Across the Feature Learning Strength
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.04642.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T14:17:37.032569Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T00:45:12.025503Z
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 cf62f218-02a6-4072-814a-1f2f5f07d01f · inbound
Feature learning is decoupled from generalization in high capacity neural networks cites this paper.
Feature learning is decoupled from generalization in high capacity neural networks The Optimization Landscape of SGD Across the Feature Learning Strength
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:17:37.032569Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61f18475-6d1f-4b68-9cc8-9f55c1a0abc9 · inbound
A Theory of Saddle Escape in Deep Nonlinear Networks cites this paper.
A Theory of Saddle Escape in Deep Nonlinear Networks The Optimization Landscape of SGD Across the Feature Learning Strength
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:51:05.763821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 669da5b2-d8d2-4d30-905a-bbea198c79c5 · inbound
A Theory of Saddle Escape in Deep Nonlinear Networks cites this paper.
A Theory of Saddle Escape in Deep Nonlinear Networks The Optimization Landscape of SGD Across the Feature Learning Strength
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T02:25:54.624953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 237703c4-4179-471e-8a99-1a6f10fc983d · inbound
A Theory of Saddle Escape in Deep Nonlinear Networks cites this paper.
A Theory of Saddle Escape in Deep Nonlinear Networks The Optimization Landscape of SGD Across the Feature Learning Strength
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T00:45:12.027130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.