Paper Citation Record · LEDGER

More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.14646.

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

pith.paper-citation-record.v1
2311.14646 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:59:14.600954Z

measured 0 of 1 external citation measurements

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 a1d9903f-9fa4-4e3c-b8d9-beb9e4ae4cdb · inbound

Training NTK to Generalize with KARE cites this paper.

Training NTK to Generalize with KARE More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:14.600954Z

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.