Paper Citation Record · LEDGER

FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.02982.

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

pith.paper-citation-record.v1
2401.02982 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:46:04.447212Z

measured 1 of 1 external citation measurements

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 4f11ece6-0ef3-4709-9a19-676c91a14aa9 · inbound

Expect the Unexpected: FailSafe Long Context QA for Finance cites this paper.

Expect the Unexpected: FailSafe Long Context QA for Finance FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T15:54:43.182386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d012fd70-2b87-4534-97cc-69d3d4a575de · inbound

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance cites this paper.

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:04.447212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-17T06:30:58.91139+00:00.