Pith. sign in

Paper Citation Record · LEDGER

FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2308.09975.

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

pith.paper-citation-record.v1
2308.09975 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:48:17.021044Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T22:05:06.268930Z

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 a3114217-a553-4b68-ba77-03dd60491671 · inbound

EconWebArena: Benchmarking Autonomous Agents on Economic Tasks in Realistic Web Environments cites this paper.

EconWebArena: Benchmarking Autonomous Agents on Economic Tasks in Realistic Web Environments FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:22:14.463667Z

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.

source=pdf_text observed=2026-05-19T10:19:45.066396Z digest=sha256:4378e89adb39c9f98282e93914a27e0af077df29b8b7910ce580d99aa04210b7

Observation 52fea3d7-efcf-427a-958b-a8fc677731fd · inbound

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications cites this paper.

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:17.021044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:17.021044Z digest=sha256:342bf06340974e812b5ea6d494ab83b322dc439b54052556f87c8b2dda0030e7

Observation 5c3d8b2e-f9ab-405a-987a-153621b6deaf · inbound

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model cites this paper.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:54.572518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:54.572518Z digest=sha256:a325e063b07d71ba43381b4797511215a39d720e6cbaf5e13790e001acbc5165

Observation 37876ec2-c7dd-4c0a-9f66-6e00636fb526 · inbound

FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design cites this paper.

FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:42.423762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:42.423762Z digest=sha256:e8b898b116f522a3b1ae0d28a77b0f8adee6cd9e7389549d28132ee65848f1a3

Observation 6ac76429-9aac-4f48-a940-fcf3674db5d0 · inbound

Enterprise Large Language Model Evaluation Benchmark cites this paper.

Enterprise Large Language Model Evaluation Benchmark FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T22:56:31.714437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:56:31.714437Z digest=sha256:a89af5bdd008a6128b5aa2b0ed711f1497560d4ef052b1c9e5daee88b6556ba4

Observation 54816c39-edf4-4590-ba82-c6e181ae88ce · inbound

FinTeam: A Multi-Agent Collaborative Intelligence System for Comprehensive Financial Scenarios cites this paper.

FinTeam: A Multi-Agent Collaborative Intelligence System for Comprehensive Financial Scenarios FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:14.367942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:14.367942Z digest=sha256:be4e9c0e2a9f8cac6da99d0d6b0aad76e675cc729fb75d94ff229b6a68c3e961

Observation a6c8481c-4903-4264-8315-ef13279901e9 · inbound

Agentar-Fin-R1: Enhancing Financial Intelligence through Domain Expertise, Training Efficiency, and Advanced Reasoning cites this paper.

Agentar-Fin-R1: Enhancing Financial Intelligence through Domain Expertise, Training Efficiency, and Advanced Reasoning FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T15:07:37.974714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:07:37.974714Z digest=sha256:f2958e53d336f5c04150fa73cd5f3e5c524c0d259f70431ef0477f55da574eeb

Observation c10ba2c6-0022-473a-bcad-27a311d64a0f · inbound

FinGAIA: A Chinese Benchmark for AI Agents in Real-World Financial Domain cites this paper.

FinGAIA: A Chinese Benchmark for AI Agents in Real-World Financial Domain FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T14:59:36.944091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:59:36.944091Z digest=sha256:39d47aa6a5e2bc4b68152b4df5830df2c3210db193f884beaee4bde2a0546b24

Observation c0163584-a454-46b2-abf2-252775050023 · inbound

MinT: Managed Infrastructure for Training and Serving Millions of LLMs cites this paper.

MinT: Managed Infrastructure for Training and Serving Millions of LLMs FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:27:51.942433Z

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.

source=pdf_text observed=2026-05-14T19:25:12.407148Z digest=sha256:8984a05ea81bd0f06728497d2d974bf0bc14df9d25b2be9cbb036071dca1b6ef

Observation 11b7da4f-097d-4665-8e6b-77ae0349ab19 · inbound

MinT: Managed Infrastructure for Training and Serving Millions of LLMs cites this paper.

MinT: Managed Infrastructure for Training and Serving Millions of LLMs FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-30T22:05:06.270530Z

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.

source=pdf_text observed=2026-06-30T21:47:00.295144Z digest=sha256:b16a7b114fa1b1b0c41f1dd2f20405e4e86702b25d5107fc50b8e4fa3dbf75e6

Observation a83b124c-fdea-423a-958d-3532c3d64cd5 · inbound

FinDocMRE: A Benchmark for Document-Level Financial Multimodal Reasoning Evaluation cites this paper.

FinDocMRE: A Benchmark for Document-Level Financial Multimodal Reasoning Evaluation FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:32:54.669973Z

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.

source=pdf_text observed=2026-05-20T00:28:48.871454Z digest=sha256:b982c3bb54af45c92e4d7a802c1d340af4ee11918894e28976d9e3a2c97cf3c6

Observation faece1ae-edf7-4469-b2f9-d26a15a116a1 · inbound

JT-SAFE-V2: Safety-by-Design Foundation Model with World-Context Data cites this paper.

JT-SAFE-V2: Safety-by-Design Foundation Model with World-Context Data FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:54:44.129553Z

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.

source=pdf_text observed=2026-06-30T13:45:38.305767Z digest=sha256:55cf951f8255cb8286beb83e708b3face35544d77d355f96a58ea72194d359b7

Observation 18126c95-0d6a-47b8-b55a-ae0707a2dfdf · inbound

Are the Financial Reasoning from LLMs Credible? A Real World Test over Long-Horizon Statements cites this paper.

Are the Financial Reasoning from LLMs Credible? A Real World Test over Long-Horizon Statements FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T00:48:02.732026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:48:02.732026Z digest=sha256:76a9563160fad658b8c596fddf397e793fb20c310554e36d1e03e471026afc2d