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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:39:34.715710Z

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

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  • verified fuzzy0
  • unresolved0
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  • 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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T10:19:45.066396Z digest=sha256:6fd6a67e260048b97b293e957f52f70843ed02a0f849a445a82f2f6fb2292385

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=sha256:513086f05ac3e5d0fa71ba1892eefd7c0c98014c5bdb1c854d177aad1240f6e0

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=sha256:138a8743bb05396a39d1c3e8737046f4b75d2f4bdd0d9111cb8d70deed93e22f

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=sha256:503bc54e963f444581a7300a75ac2d93f12d178243142788c382f6e2e5735d9b

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:d9fb4eb8ff84b28526ae2a62894dba42a2accf134f80557e06bcc5ada35701db

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:a3954459bc3bed533cc8ad115db94f4e02e0886180d3841bf2dddab9c08fdef1

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=sha256:5eecee06453b0fee6c1551d3b17384ba0c4f7164882c1476ab0a0f6a59b214e0

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=sha256:373323d6c06c5c8d4d8fc62f62e96e506e16cf325e19baa35b90a09a4c727473

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T19:25:12.407148Z digest=sha256:70de997512ffc5c47bfb4f98612e34fc21e005d97195b955fef3a7d21fb7e845

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T21:47:00.295144Z digest=sha256:912f90b2cdf413ca704379c90710d5aa4bd15b5af27d57de6beab9c1a4ca22b9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T00:28:48.871454Z digest=sha256:9ece8391abbcf434d4218e22773ba8a046ae71424e7f394708a6548566cba5f5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T13:45:38.305767Z digest=sha256:8ccedf468f8f1eb44de51094e312a65be8785b239ff2d88c329697a8e64e487d

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=sha256:43d4f0b7a7da624fdc648e1df3061a7c0fc7125651e9af9b14a35ad9ec108de8

Observation 3dcb4e1f-1932-4953-8c32-5dc31fcccc48 · inbound

FinProBench: Evaluating Financial AI Agents with Role-Grounded Rubrics Derived from Professional Deliverables cites this paper.

FinProBench: Evaluating Financial AI Agents with Role-Grounded Rubrics Derived from Professional Deliverables FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-08T00:39:34.715710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T00:39:34.715710Z digest=sha256:97175dddc6ec5e9341dcd63a4e153b7bb6cd2f9f4b388556194462115839589e