Paper Citation Record · LEDGER

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2605.15482.

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

pith.paper-citation-record.v1
2605.15482 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T05:44:59.785603Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact14
verified fuzzy1
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cce8f516-3b70-4efc-b8ff-86382b5402aa · outbound

This paper cites FinQA: A Dataset of Numerical Reasoning over Financial Data.

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models FinQA: A Dataset of Numerical Reasoning over Financial Data

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:45:23.473254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ca61efc2-2f1b-4055-9ca4-1b95ceefb3ee · outbound

This paper cites ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering.

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:45:23.463886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2a9e7a2e-47d3-4455-93a1-a92bb4c0be08 · outbound

This paper cites TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance.

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:45:23.468398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5b85d5ca-09b5-4344-a4cf-d03f9a6c67bc · outbound

This paper cites FinanceBench: A New Benchmark for Financial Question Answering.

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models FinanceBench: A New Benchmark for Financial Question Answering

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-25T05:45:23.442269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e45a9cb3-c7d2-4c16-a0bc-e4e795093165 · outbound

This paper cites PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance.

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:45:23.446895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 44fb8832-3a38-48cf-801f-86dce144c9d5 · outbound

This paper cites FinBen: A Holistic Financial Benchmark for Large Language Models.

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models FinBen: A Holistic Financial Benchmark for Large Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:45:23.452000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d1d25df9-db7b-46da-aba7-53dd959a8989 · outbound

This paper cites Finance Language Model Evaluation (FLaME).

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models Finance Language Model Evaluation (FLaME)

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:45:23.458498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 35eff6b0-708c-42ea-a11f-a8cc05d4641f · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-25T05:45:23.411757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 23c182b7-74d4-464e-9b92-f868d5b26276 · outbound

This paper cites From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline.

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-25T05:45:23.428842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2009fe9a-f869-4272-8385-90c97ac4791b · outbound

This paper cites FinanceReasoning: Benchmarking Financial Numerical Reasoning More Credible, Comprehensive and Challenging.

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models FinanceReasoning: Benchmarking Financial Numerical Reasoning More Credible, Comprehensive and Challenging

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:45:23.433721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 023374b2-072b-4d67-8029-6a2f270f2159 · outbound

This paper cites Fin-R1: A large language model for financial reasoning through reinforcement learning.

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models Fin-R1: A large language model for financial reasoning through reinforcement learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:45:23.438329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ee71d808-2b20-4a1d-b451-185b1616364b · outbound

This paper cites arena-hard-auto.

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models arena-hard-auto

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T05:46:41.123996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 07d1c6ca-54ca-4eaa-b5e2-556521376249 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models Measuring Massive Multitask Language Understanding

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-25T05:45:23.407534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 468ac5eb-bcf1-4706-8e78-5a052c94251c · outbound

This paper cites CMMLU: Measuring massive multitask language understanding in Chinese.

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models CMMLU: Measuring massive multitask language understanding in Chinese

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-25T05:45:23.419108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3ca63e0e-de68-41b3-8444-6e336d190ce0 · outbound

This paper cites Reasoning models are test exploiters: Rethinking multiple choice.

FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models Reasoning models are test exploiters: Rethinking multiple choice

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:45:23.423999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.