Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.00918.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-25T05:05:04.461460Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T05:05:22.279503Z
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 0fce8efe-ba30-4b1f-9c1c-8536a1bfcca1 · inbound
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers cites this paper.
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T23:37:15.496385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 715d7667-f11c-4e7c-a798-6d87ff54b013 · inbound
RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases cites this paper.
RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:05:22.283543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.