Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The training accuracy of two-layer neural networks: its estimation and understanding using random datasets
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.13380.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T19:09:29.177850Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T15:18:32.836694Z
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 3442c844-9894-4d88-bd7f-4d9808637d10 · inbound
Transformer Geometry Observatory TGO-II: Representational Similarity Observatory cites this paper.
Transformer Geometry Observatory TGO-II: Representational Similarity Observatory The training accuracy of two-layer neural networks: its estimation and understanding using random datasets
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T15:18:32.838185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 200c31d8-68bb-4e1e-9967-ad334ee959f1 · inbound
Transformer Geometry Observatory TGO-III: Semantic Geometry Observatory cites this paper.
Transformer Geometry Observatory TGO-III: Semantic Geometry Observatory The training accuracy of two-layer neural networks: its estimation and understanding using random datasets
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:09:29.177850Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.