Paper Citation Record · LEDGER

Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1906.03593.

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

pith.paper-citation-record.v1
1906.03593 v2

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 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:13:02.077002Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:29:44.338139Z

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 befe36de-8c92-47f3-8e29-797b1f0a8743 · inbound

Gradient Descent Finds Global Minima for Generalizable Deep Neural Networks of Practical Sizes cites this paper.

Gradient Descent Finds Global Minima for Generalizable Deep Neural Networks of Practical Sizes Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T15:13:02.077002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 724bd749-8cef-40cb-a016-4cdc879a472b · inbound

Numerical Pruning for Efficient Autoregressive Models cites this paper.

Numerical Pruning for Efficient Autoregressive Models Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound

Reference 136

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:27.306308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3254677-d345-4e67-9b7d-304a5d67b8f3 · inbound

Unifying Learning Dynamics and Generalization in Transformers Scaling Law cites this paper.

Unifying Learning Dynamics and Generalization in Transformers Scaling Law Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-03T14:02:56.728350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b02713c-3fd4-4424-ad2f-6f36b468b67c · inbound

Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime cites this paper.

Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:44.340023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.