Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey on Self-Supervised Learning for Non-Sequential Tabular Data
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.01204.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:31:55.709001Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T05:40:05.444151Z
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 da95a561-c346-4166-8a55-b4f20524c490 · inbound
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning cites this paper.
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning A Survey on Self-Supervised Learning for Non-Sequential Tabular Data
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:31:55.709001Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a49a5a24-6f32-47f1-8bd0-973f8628e298 · inbound
ORIGAMI: A generative transformer architecture for predictions from semi-structured data cites this paper.
ORIGAMI: A generative transformer architecture for predictions from semi-structured data A Survey on Self-Supervised Learning for Non-Sequential Tabular Data
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T05:40:05.449505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.