Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.14646.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:18:16.554591Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T06:29:42.122611Z
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 9f16c55b-70ec-4797-80d8-ab955fa3ba73 · inbound
Benign Overfitting in Out-of-Distribution Generalization of Linear Models cites this paper.
Benign Overfitting in Out-of-Distribution Generalization of Linear Models More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:18:16.554591Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a87c295-aa95-4548-a6b2-9ddfee34ec96 · inbound
Escape dynamics and implicit bias of one-pass SGD in overparameterized quadratic networks cites this paper.
Escape dynamics and implicit bias of one-pass SGD in overparameterized quadratic networks More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T18:28:06.732480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6f0839ee-d28e-4aa9-89f3-870f08a71369 · inbound
HORST: Composing Optimizer Geometries for Sparse Transformer Training cites this paper.
HORST: Composing Optimizer Geometries for Sparse Transformer Training More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory
Reference 156
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T06:29:42.124301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.