Paper Citation Record · LEDGER

TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2403.19318.

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

pith.paper-citation-record.v1
2403.19318 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:40:57.675052Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:07:38.927949Z

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 e4739c39-6c5f-4c81-a52a-f94eab6041ce · inbound

Benchmarking Table Comprehension In The Wild cites this paper.

Benchmarking Table Comprehension In The Wild TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T16:40:57.675052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de298bb2-7e79-4099-a801-f61b28e6502e · 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 TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T23:33:57.683569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3af67ad-e41f-41f9-848c-da6d1110f42d · inbound

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis cites this paper.

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:46.693554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 578a8150-7809-4646-8674-4b3a0a7e1197 · inbound

Rethinking Table Instruction Tuning cites this paper.

Rethinking Table Instruction Tuning TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:58.611787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ede6de4-8ca2-4f7c-8cc6-0b412e6b58f8 · inbound

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects cites this paper.

What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T14:56:30.964048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c475e23-31a1-4d05-9ff5-0314b0f0f641 · inbound

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models cites this paper.

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 170

Resolution: unresolved; no resolver link, observed 2026-08-10T18:04:34.726726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bff2db9-7609-4480-b209-367f9cc1daba · inbound

RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models cites this paper.

RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T13:32:50.689286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 763b11ff-39a6-4356-b2e9-3cd76aa6daf5 · inbound

Atomic Reasoning for Scientific Table Claim Verification cites this paper.

Atomic Reasoning for Scientific Table Claim Verification TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T05:49:09.358493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62846c1d-333f-472a-9e40-82849381d628 · inbound

Schema-R1: A reasoning training approach for schema linking in Text-to-SQL Task cites this paper.

Schema-R1: A reasoning training approach for schema linking in Text-to-SQL Task TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T01:05:26.818254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed5e7d90-80a7-4d5a-8371-5330a5e1d0bc · inbound

Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data cites this paper.

Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:16.231105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df858277-3b94-4495-b64a-1bbc205d457e · inbound

Towards Benchmarking Foundation Models for Tabular Data With Text cites this paper.

Towards Benchmarking Foundation Models for Tabular Data With Text TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.958225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40dcbb1b-ac4a-4a08-82ad-19f34465b055 · inbound

TableCopilot: A Table Assistant Empowered by Natural Language Conditional Table Discovery cites this paper.

TableCopilot: A Table Assistant Empowered by Natural Language Conditional Table Discovery TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:04.961515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a280a363-a4d6-4f4b-a791-bd3bb7db9506 · inbound

AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Data cites this paper.

AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Data TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:37.527779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 183d9338-f10f-47af-b60f-ca17ba43b994 · inbound

Text to Query Plans for Question Answering on Large Tables cites this paper.

Text to Query Plans for Question Answering on Large Tables TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T16:19:10.212825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a1b86a7-68ed-4e17-a3a3-565b92f4e988 · 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 TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T12:43:34.361441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f96a318c-bd17-4ebd-8792-9901c8db4d9e · inbound

TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning cites this paper.

TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T23:56:52.655065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33613e39-ec30-42f6-a524-f49cb7ed1c79 · inbound

The Power of Order: Fooling LLMs with Adversarial Table Permutations cites this paper.

The Power of Order: Fooling LLMs with Adversarial Table Permutations TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:36:06.275683Z

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 1b6dd0d9-c7a6-40f4-b721-d352f948be34 · inbound

The Power of Order: Fooling LLMs with Adversarial Table Permutations cites this paper.

The Power of Order: Fooling LLMs with Adversarial Table Permutations TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:26:16.604140Z

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 06e332d7-756c-4978-9b52-0a713611ebec · inbound

TabClaw: An Interactive and Self-Evolving Agent for Spreadsheet Manipulation and Table Reasoning cites this paper.

TabClaw: An Interactive and Self-Evolving Agent for Spreadsheet Manipulation and Table Reasoning TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:07:38.930113Z

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.