Paper Citation Record · LEDGER

Rethinking Tabular Data Understanding with Large Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2312.16702.

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

pith.paper-citation-record.v1
2312.16702 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 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:33:57.632779Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T01:07:19.831260Z

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 85cc5717-fae4-4d52-bc80-0550ab0260cf · inbound

Efficient Multi-Agent Collaboration with Tool Use for Online Planning in Complex Table Question Answering cites this paper.

Efficient Multi-Agent Collaboration with Tool Use for Online Planning in Complex Table Question Answering Rethinking Tabular Data Understanding with Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T23:33:57.632779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29879eaf-7190-42f1-a45d-fa6a0e9a2c87 · inbound

LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion cites this paper.

LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion Rethinking Tabular Data Understanding with Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:07:19.835372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 84cc8767-a828-4b48-8628-7a76b0aeb48c · 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 Rethinking Tabular Data Understanding with Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T06:03:44.593554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ced3f6b9-097b-4db9-a574-351596588d7a · inbound

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

Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding Rethinking Tabular Data Understanding with Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T16:22:50.824293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 260dfd9a-7452-474e-b0f4-ea7103879512 · inbound

What Language Models Know But Don't Say: Non-Generative Prior Extraction for Generalization cites this paper.

What Language Models Know But Don't Say: Non-Generative Prior Extraction for Generalization Rethinking Tabular Data Understanding with Large Language Models

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T10:57:46.336912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a00a03b1-6f0b-42db-87d7-b67c131dfe9b · 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 Rethinking Tabular Data Understanding with Large Language Models

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:46:03.926126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.