Paper Citation Record · LEDGER

Table-GPT: Table-tuned GPT for Diverse Table Tasks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2310.09263.

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

pith.paper-citation-record.v1
2310.09263 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:57:42.363430Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T02:45:56.140109Z

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 36f21534-b80f-4bd8-92a1-037f680f3e51 · 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 Table-GPT: Table-tuned GPT for Diverse Table Tasks

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:45:56.143066Z

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 d37e5458-4282-48e9-8e17-a77773e3fb48 · inbound

Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models cites this paper.

Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models Table-GPT: Table-tuned GPT for Diverse Table Tasks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T06:03:44.414138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aaf6a5b-dc34-4fe6-b082-62727d2d4288 · inbound

Relationship Detection on Tabular Data Using Statistical Analysis and Large Language Models cites this paper.

Relationship Detection on Tabular Data Using Statistical Analysis and Large Language Models Table-GPT: Table-tuned GPT for Diverse Table Tasks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:57:42.363430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4acc6a26-db0c-4dbb-a05c-7b2ade845432 · inbound

Improving Large Language Models with Concept-Aware Fine-Tuning cites this paper.

Improving Large Language Models with Concept-Aware Fine-Tuning Table-GPT: Table-tuned GPT for Diverse Table Tasks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:23.899093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e5a4edd-9b57-4dfa-a476-8cf8af0c73bc · inbound

An Empirical study on LLM-based Log Retrieval for Software Engineering Metadata Management cites this paper.

An Empirical study on LLM-based Log Retrieval for Software Engineering Metadata Management Table-GPT: Table-tuned GPT for Diverse Table Tasks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:58.472043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31cdb5b1-2070-4acb-989f-393ec08c040c · inbound

QUEST: Query Optimization in Unstructured Document Analysis cites this paper.

QUEST: Query Optimization in Unstructured Document Analysis Table-GPT: Table-tuned GPT for Diverse Table Tasks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T19:10:17.624600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9886521-efb6-40c0-80f5-dc1e2974f54e · inbound

FlowETL: An Autonomous Example-Driven Pipeline for Data Engineering cites this paper.

FlowETL: An Autonomous Example-Driven Pipeline for Data Engineering Table-GPT: Table-tuned GPT for Diverse Table Tasks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T11:07:19.588942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7338b5a2-b0fc-4bc3-902a-5d942da7f062 · inbound

Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding cites this paper.

Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding Table-GPT: Table-tuned GPT for Diverse Table Tasks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T16:22:50.809542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3c1010a-b088-415e-8e0f-8c8e49ce58b0 · inbound

TableNet A Large-Scale Table Dataset with LLM-Powered Autonomous cites this paper.

TableNet A Large-Scale Table Dataset with LLM-Powered Autonomous Table-GPT: Table-tuned GPT for Diverse Table Tasks

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:10:15.627342Z

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.