Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.02982.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:15:09.830262Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 4df87185-9c90-4a76-be6b-d3af725daa9b · inbound
AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation cites this paper.
AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:15:09.830262Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f2e240e-22a5-4537-9543-f2c297ab3912 · inbound
Business Utility of Large Language Models as Exploratory Data Analysis Agents cites this paper.
Business Utility of Large Language Models as Exploratory Data Analysis Agents FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T23:35:06.974932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.