Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking)
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.21009.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T06:19:30.027337Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T15:21:09.038353Z
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 5aa2776a-a764-4d11-b1d6-506987b44453 · inbound
There Will Be a Scientific Theory of Deep Learning cites this paper.
There Will Be a Scientific Theory of Deep Learning Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking)
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:21:09.041331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 138b986a-0070-410c-a1b1-413c811a4a4e · inbound
How are linear representations learned? Exact solutions to the dynamics of abstraction cites this paper.
How are linear representations learned? Exact solutions to the dynamics of abstraction Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking)
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T06:19:30.027337Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.