Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Approximations of the Fisher Matrix in Neural Networks using Kronecker Product Singular Value Decomposition
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2201.10285.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:28:28.926599Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T11:46:48.230378Z
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 ed262b40-e69e-451b-a28b-995efa0b4727 · inbound
SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training cites this paper.
SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training Efficient Approximations of the Fisher Matrix in Neural Networks using Kronecker Product Singular Value Decomposition
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:28:28.926599Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d0ec684-065f-49f1-905a-3d8e8d99d594 · inbound
Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension cites this paper.
Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension Efficient Approximations of the Fisher Matrix in Neural Networks using Kronecker Product Singular Value Decomposition
Reference 2014
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T11:46:48.234529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.