Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Novel Gaussian Min-Max Theorem and its Applications
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.07356.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T14:37:13.234393Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T18:33:06.902020Z
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 7197a8f6-aa46-454f-b641-3c5e4eec63f7 · inbound
Universality of High-Dimensional Logistic Regression and a Novel CGMT under Dependence with Applications to Data Augmentation cites this paper.
Universality of High-Dimensional Logistic Regression and a Novel CGMT under Dependence with Applications to Data Augmentation A Novel Gaussian Min-Max Theorem and its Applications
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:37:13.234393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8d7337c-2da4-4894-8f2f-c2a844b33db6 · inbound
Characterization of Gaussian Universality Breakdown in High-Dimensional Empirical Risk Minimization cites this paper.
Characterization of Gaussian Universality Breakdown in High-Dimensional Empirical Risk Minimization A Novel Gaussian Min-Max Theorem and its Applications
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T18:33:06.903934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.