Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Spectral alignment of stochastic gradient descent for high-dimensional classification tasks
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.03010.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T06:08:27.109643Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T15:35:47.538343Z
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 849239d2-ee42-4a81-a2ac-c7c1f61e0502 · inbound
Spectral phase transitions and trainability in neural network learning dynamics cites this paper.
Spectral phase transitions and trainability in neural network learning dynamics Spectral alignment of stochastic gradient descent for high-dimensional classification tasks
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T15:35:47.539744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d5a9fd55-a141-4132-94ce-b54f29e706d5 · inbound
How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection cites this paper.
How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection Spectral alignment of stochastic gradient descent for high-dimensional classification tasks
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:08:27.109643Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.