Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.18938.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T14:47:40.471320Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T15:35:47.570668Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 84927feb-beac-4eb3-a64a-d1fe23e2c2bf · inbound
On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c29e495-9240-4578-8749-506342fb3e01 · inbound
HTMuon: Improving Muon via Heavy-Tailed Spectral Correction A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d98f5626-7011-491d-93ed-816cf9385b15 · inbound
Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
Reference 59
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7cf48788-7b95-4998-a6ff-50ff5050bccf · inbound
Spectral Dynamics in Deep Networks: Feature Learning, Outlier Escape, and Learning Rate Transfer A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
Reference 64
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 04513e99-1f7d-4c2e-9b8e-d8a73c9ca9bf · inbound
Scaling Laws from Sequential Feature Recovery: A Solvable Hierarchical Model A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
Reference 115
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a450d16e-f867-4a7c-b2a0-4fea7c4e7f59 · inbound
Random Matrix Spectra from Boltzmann-Weighted Lattice Ensembles A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation df074786-b0b8-4b8e-9064-0ced5ce18e0a · inbound
Spectral phase transitions and trainability in neural network learning dynamics A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.