Paper Citation Record · LEDGER

TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2408.09174.

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

pith.paper-citation-record.v1
2408.09174 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:08:10.180429Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:23:02.483911Z

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 aa08a09d-c119-4ea9-9def-cf6320dc7cdd · inbound

TQA-Bench: Evaluating LLMs for Multi-Table Question Answering cites this paper.

TQA-Bench: Evaluating LLMs for Multi-Table Question Answering TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T10:09:45.119554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d174db6d-19a8-4ec6-9725-01e83adc936b · inbound

FullStack Bench: Evaluating LLMs as Full Stack Coders cites this paper.

FullStack Bench: Evaluating LLMs as Full Stack Coders TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T05:20:05.469752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4da8a8f5-ac33-4dab-b8ef-7094862a5b2d · inbound

Evaluating and Aligning CodeLLMs on Human Preference cites this paper.

Evaluating and Aligning CodeLLMs on Human Preference TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:15.323165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7303588c-cbef-4268-a136-284b49595c1e · inbound

SCITAT: A Question Answering Benchmark for Scientific Tables and Text Covering Diverse Reasoning Types cites this paper.

SCITAT: A Question Answering Benchmark for Scientific Tables and Text Covering Diverse Reasoning Types TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:08.813608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 423b7eac-1f98-462e-96a4-19acc45ffdcc · inbound

Rethinking Table Instruction Tuning cites this paper.

Rethinking Table Instruction Tuning TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:58.563072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39a12002-2966-4f23-ab5b-de4b4e9a5017 · 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 TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T14:56:30.932779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d29e88e-555f-422c-bc9b-a7609348bfba · inbound

CoddLLM: Empowering Large Language Models for Data Analytics cites this paper.

CoddLLM: Empowering Large Language Models for Data Analytics TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-09T19:30:38.635856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 471385ef-8897-480b-b6e3-c1358c606da5 · inbound

Griffin: Towards a Graph-Centric Relational Database Foundation Model cites this paper.

Griffin: Towards a Graph-Centric Relational Database Foundation Model TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:10.180429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aea329bd-65f2-4279-a8ce-8e72f6f76eee · inbound

Using External knowledge to Enhanced PLM for Semantic Matching cites this paper.

Using External knowledge to Enhanced PLM for Semantic Matching TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T22:42:53.905739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bb3d500-34fa-4cbc-ab40-b9b3d1d3c43c · inbound

Boosting Neural Language Inference via Cascaded Interactive Reasoning cites this paper.

Boosting Neural Language Inference via Cascaded Interactive Reasoning TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T22:42:45.496259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 576167a6-be48-4397-ac62-de6821778aea · inbound

ChartMind: A Comprehensive Benchmark for Complex Real-world Multimodal Chart Question Answering cites this paper.

ChartMind: A Comprehensive Benchmark for Complex Real-world Multimodal Chart Question Answering TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:54:19.855535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f74edbeb-1443-4575-af5b-1076920d69ad · inbound

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner cites this paper.

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:08.669060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e915f242-9d39-41a5-a54b-f2c438c77076 · 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 TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:15.676130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2ccf137-483a-4ee8-b322-8baa6c138f72 · inbound

Coding Triangle: How Does Large Language Model Understand Code? cites this paper.

Coding Triangle: How Does Large Language Model Understand Code? TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:15:34.117604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a701f46c-0ad1-4842-b0d4-22f6cb8ba2ac · inbound

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

AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Data TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:37.533841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28813f0b-f4ec-48ff-b742-b83bb72bde2c · inbound

IFEvalCode: Controlled Code Generation cites this paper.

IFEvalCode: Controlled Code Generation TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:34.096049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd4d1eb0-2b8a-48ec-9769-3e2d4f85aee9 · 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 TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T12:43:39.000019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be4d59b3-1791-4d5c-bded-5e05f2cfcc2e · inbound

StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matching cites this paper.

StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matching TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T12:01:38.374101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 267946d2-a589-49da-88f0-23bb407b6b0a · inbound

TableVision: A Large-Scale Benchmark for Spatially Grounded Reasoning over Complex Hierarchical Tables cites this paper.

TableVision: A Large-Scale Benchmark for Spatially Grounded Reasoning over Complex Hierarchical Tables TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:23:02.485778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 46a96e8d-249d-4706-9d51-8973b050ec56 · inbound

Efficient Task Adaptation in Large Language Models via Selective Parameter Optimization cites this paper.

Efficient Task Adaptation in Large Language Models via Selective Parameter Optimization TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:26:27.706392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b7508730-e471-4cb8-b698-80e54b5d985f · inbound

FT-RAG: A Fine-grained Retrieval-Augmented Generation Framework for Complex Table Reasoning cites this paper.

FT-RAG: A Fine-grained Retrieval-Augmented Generation Framework for Complex Table Reasoning TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:01:08.866390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.