Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2201.08514.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:32:16.612193Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T01:07:54.790826Z
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 18e56bd9-5d45-40b4-ada2-ed1e9ce8b289 · inbound
Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing cites this paper.
Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:32:16.612193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c2fde90-4cdc-49ed-b7a6-5fb1b56ec9f3 · inbound
Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models cites this paper.
Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T01:07:54.793942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.