Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2408.09174.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:54:19.855535Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T17:23:02.483911Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 576167a6-be48-4397-ac62-de6821778aea · inbound
ChartMind: A Comprehensive Benchmark for Complex Real-world Multimodal Chart Question Answering TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Reference 39
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 TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Reference 47
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 TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Reference 62
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? TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Reference 30
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 TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28813f0b-f4ec-48ff-b742-b83bb72bde2c · inbound
IFEvalCode: Controlled Code Generation TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Reference 65
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 TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Reference 45
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 TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Reference 54
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 TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Reference 48
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 46a96e8d-249d-4706-9d51-8973b050ec56 · inbound
Efficient Task Adaptation in Large Language Models via Selective Parameter Optimization TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Reference 39
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 b7508730-e471-4cb8-b698-80e54b5d985f · inbound
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
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.