Paper Citation Record · LEDGER

Generative Table Pre-training Empowers Models for Tabular Prediction

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.09696.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2305.09696 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:05:26.374374Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-23T20:43:25.257324Z

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 8e1d1755-a092-401e-8426-37f2da41c35e · inbound

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio cites this paper.

A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio Generative Table Pre-training Empowers Models for Tabular Prediction

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:43:25.260113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a50358b9-864d-4be9-ac07-41cd6316076c · inbound

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future cites this paper.

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Generative Table Pre-training Empowers Models for Tabular Prediction

Reference 245

Resolution: unresolved; no resolver link, observed 2026-08-11T12:33:41.274447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a155f4ef-f2c8-43b4-9107-d4c38bb4e063 · inbound

AIGT: AI Generative Table Based on Prompt cites this paper.

AIGT: AI Generative Table Based on Prompt Generative Table Pre-training Empowers Models for Tabular Prediction

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T05:05:43.451999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95335a60-0b37-4c7b-a6dc-9a9124dc2c54 · inbound

Zero-Shot Decision Tree Construction via Large Language Models cites this paper.

Zero-Shot Decision Tree Construction via Large Language Models Generative Table Pre-training Empowers Models for Tabular Prediction

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T13:39:50.818838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c360b164-df07-4642-8c44-f59ea9d7e154 · inbound

A Comprehensive Survey of Synthetic Tabular Data Generation cites this paper.

A Comprehensive Survey of Synthetic Tabular Data Generation Generative Table Pre-training Empowers Models for Tabular Prediction

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-16T11:05:26.374374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80222ce0-478d-4290-9ea6-6083fb888425 · inbound

TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding cites this paper.

TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding Generative Table Pre-training Empowers Models for Tabular Prediction

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:21:06.555964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.