Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PTab: Using the Pre-trained Language Model for Modeling Tabular Data
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2209.08060.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:22:43.160444Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T02:45:56.135295Z
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 0dca8324-eb18-4050-96a2-faedca3ca13c · inbound
Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science with Table-Specific Pretraining cites this paper.
Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science with Table-Specific Pretraining PTab: Using the Pre-trained Language Model for Modeling Tabular Data
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T02:45:56.138359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4be5c76e-434b-427e-bf61-66b13972d0ac · inbound
Improving LLM Group Fairness on Tabular Data via In-Context Learning cites this paper.
Improving LLM Group Fairness on Tabular Data via In-Context Learning PTab: Using the Pre-trained Language Model for Modeling Tabular Data
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:22:43.160444Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 241a590a-3dc5-4bf5-855f-c333924c7743 · inbound
Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation cites this paper.
Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation PTab: Using the Pre-trained Language Model for Modeling Tabular Data
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:21:30.272704Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.