Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.01115.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T15:49:33.410214Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T22:06:16.804927Z
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 43510e0a-9fa8-474a-8137-ed70ce9f79af · inbound
TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks cites this paper.
TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T22:06:16.806474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 554bf9be-2a8f-4cd3-8a96-2aa862df93a4 · inbound
Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data cites this paper.
Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T15:49:33.410214Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.