Paper Citation Record · LEDGER

Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.10548.

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

pith.paper-citation-record.v1
2408.10548 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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:14:08.139270Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:15:22.825549Z

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 fe2cd7df-86c6-48df-bb6c-5689d333b874 · inbound

Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation cites this paper.

Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:15:22.828964Z

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 09f6361d-dc53-481f-8587-36a7ae6be825 · inbound

MRT at SemEval-2025 Task 8: Maximizing Recovery from Tables with Multiple Steps cites this paper.

MRT at SemEval-2025 Task 8: Maximizing Recovery from Tables with Multiple Steps Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:08.139270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92d66b1a-2e23-41f4-b1cd-5cd8607b6a09 · inbound

TableReasoner: Advancing Table Reasoning Framework with Large Language Models cites this paper.

TableReasoner: Advancing Table Reasoning Framework with Large Language Models Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T18:45:15.252647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5423ce69-f3da-40c4-b403-60a06c76d200 · inbound

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps cites this paper.

MRT at IberLEF-2025 PRESTA Task: Maximizing Recovery from Tables with Multiple Steps Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T16:36:51.385760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e31208-1f60-4295-9cd5-d5097adc3107 · inbound

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering cites this paper.

TableZoomer: A Collaborative Agent Framework for Large-scale Table Question Answering Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T12:43:33.116130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e00a28e7-4155-4692-9c48-fb61a6969dae · inbound

Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training cites this paper.

Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:46:03.563878Z

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.