Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Gradient Boosting Trees and Large Language Models for Tabular Data Few-Shot Learning
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.04324.
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 2026-06-27T03:28:49.217006Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T17:58:47.484685Z
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 daa4e798-f87d-47c0-95e2-6cee47ecc6c4 · inbound
TabArena: A Living Benchmark for Machine Learning on Tabular Data cites this paper.
TabArena: A Living Benchmark for Machine Learning on Tabular Data Gradient Boosting Trees and Large Language Models for Tabular Data Few-Shot Learning
Reference 120
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:42:12.729862Z
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.
Observation 7a23bb2c-01a2-4110-866e-fd69e88c57ae · inbound
The Critical Role of Model Selection in Causal Inference: A Comparative Analysis of Classification Models within the InferBERT Framework for Pharmacovigilance cites this paper.
The Critical Role of Model Selection in Causal Inference: A Comparative Analysis of Classification Models within the InferBERT Framework for Pharmacovigilance Gradient Boosting Trees and Large Language Models for Tabular Data Few-Shot Learning
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T17:58:47.486244Z
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.