Paper Citation Record · LEDGER

TabLib: A Dataset of 627M Tables with Context

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2310.07875.

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

pith.paper-citation-record.v1
2310.07875 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 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:10.836941Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T15:44:48.312106Z

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 1251c2a4-d980-436c-b602-709e5c53d7cb · inbound

Large Language Models are Good Relational Learners cites this paper.

Large Language Models are Good Relational Learners TabLib: A Dataset of 627M Tables with Context

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:10.836941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50725782-dcbc-45d2-bc7d-2b6bf6538d6a · inbound

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data cites this paper.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data TabLib: A Dataset of 627M Tables with Context

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:22.624647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0953bcd-609b-494b-8381-59010279630a · inbound

MacrOData: New Benchmarks of Thousands of Datasets for Tabular Outlier Detection cites this paper.

MacrOData: New Benchmarks of Thousands of Datasets for Tabular Outlier Detection TabLib: A Dataset of 627M Tables with Context

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:10:40.807638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d2514b1a-2d95-4555-bbb1-334724510e0d · inbound

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data cites this paper.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data TabLib: A Dataset of 627M Tables with Context

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T18:39:37.752511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 741986de-efc4-41e9-883b-41f3988a4a64 · inbound

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

TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding TabLib: A Dataset of 627M Tables with Context

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:21:06.696192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation afc7f7a7-9ef4-40c4-8f74-15fce76657fb · inbound

Mind the Gap? A Distributional Comparison of Real and Synthetic Priors for Tabular Foundation Models cites this paper.

Mind the Gap? A Distributional Comparison of Real and Synthetic Priors for Tabular Foundation Models TabLib: A Dataset of 627M Tables with Context

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:11:12.922731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d563d4e-2fd1-4a92-b819-d8289e4c158a · inbound

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image cites this paper.

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image TabLib: A Dataset of 627M Tables with Context

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:24.985690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7b56276f-5ed3-4700-9cee-917813bb8421 · inbound

Learning to Evaluate: Cost-Effective Model Evaluation on Unlabeled Data with Meta-Learning cites this paper.

Learning to Evaluate: Cost-Effective Model Evaluation on Unlabeled Data with Meta-Learning TabLib: A Dataset of 627M Tables with Context

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:45:20.173247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 90251b3d-9797-4dad-b379-88c9c1a004d9 · inbound

Learning to Evaluate: Cost-Effective Model Evaluation on Unlabeled Data with Meta-Learning cites this paper.

Learning to Evaluate: Cost-Effective Model Evaluation on Unlabeled Data with Meta-Learning TabLib: A Dataset of 627M Tables with Context

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:44:48.313549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.