Paper Citation Record · LEDGER

TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2005.08314.

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

pith.paper-citation-record.v1
2005.08314 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:07:59.303271Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T02:45:56.170810Z

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 f4246f98-4f9d-4602-8fae-395a7c0ddc42 · 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 TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:45:56.172735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf09f9c2-186e-435c-b74f-210985bc0345 · inbound

Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation cites this paper.

Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:25.985066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be69f9e3-b5e8-400d-903d-be4325a3ef41 · 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 TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:59.303271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e920c648-1482-430f-8913-3957bf9cdf89 · inbound

XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL cites this paper.

XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:52:59.895292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 368d9f52-da71-461f-8613-4ffa7fb319ff · inbound

Interactive Text-to-SQL via Expected Information Gain for Disambiguation cites this paper.

Interactive Text-to-SQL via Expected Information Gain for Disambiguation TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T19:17:17.077494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1253ddf1-b974-4e3f-b2a0-19bbe9cb601b · inbound

ExpliCIT-QA: Explainable Code-Based Image Table Question Answering cites this paper.

ExpliCIT-QA: Explainable Code-Based Image Table Question Answering TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:17.531037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 875da0b3-02bb-4d3d-97e0-b3d513bead44 · inbound

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs cites this paper.

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T14:12:30.646348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0e5c79d-58fd-453f-81b4-f20717234074 · inbound

TEN: Table Explicitization, Neurosymbolically cites this paper.

TEN: Table Explicitization, Neurosymbolically TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T21:08:53.113786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d512454-af83-447b-a65a-2d89c1e59c16 · inbound

When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables cites this paper.

When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-21T21:40:40.911892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 73ab39d6-a312-4ceb-b1f6-315c8d799cfc · inbound

TabEmb: Joint Semantic-Structure Embedding for Table Annotation cites this paper.

TabEmb: Joint Semantic-Structure Embedding for Table Annotation TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 94

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:41:02.241756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9157df18-e33e-487c-9bd5-4f39b2b90c55 · inbound

Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning cites this paper.

Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:26:02.761456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df86ea6c-3403-4b0a-bc36-95ca4cdf5856 · inbound

Structure-Aware Chunking for Tabular Data in Retrieval-Augmented Generation cites this paper.

Structure-Aware Chunking for Tabular Data in Retrieval-Augmented Generation TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:09.759175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 807d2fc3-6153-4eb0-9564-f0960e46daf6 · inbound

PIPER: Content-Based Table Search via profiling and LLM-Generated Pseudoqueries cites this paper.

PIPER: Content-Based Table Search via profiling and LLM-Generated Pseudoqueries TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T00:32:54.718850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 356a46e5-da3a-4d22-ac9f-c1d30643161e · inbound

TabLoRA: Parameter-Efficient Low-Rank Ensemble Learning for Large-Scale Tabular Data cites this paper.

TabLoRA: Parameter-Efficient Low-Rank Ensemble Learning for Large-Scale Tabular Data TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-14T00:36:05.289408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.