Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2108.04172.
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 2026-08-05T22:18:05.088170Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T23:45:52.589688Z
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 cc66a7c2-3f92-4e32-80ae-875a5e3b0a56 · inbound
PySeizure: A single machine learning classifier framework to detect seizures in diverse datasets cites this paper.
PySeizure: A single machine learning classifier framework to detect seizures in diverse datasets Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:18:05.088170Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbe4f075-88ad-41a5-9c94-ee1b824a97c4 · inbound
Hierarchical SVG Tokenization: Learning Compact Visual Programs for Scalable Vector Graphics Modeling cites this paper.
Hierarchical SVG Tokenization: Learning Compact Visual Programs for Scalable Vector Graphics Modeling Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:45:52.593984Z
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.