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Paper Citation Record · LEDGER

BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2302.09432.

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

pith.paper-citation-record.v1
2302.09432 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:13.465263Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:06:59.457411Z

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 942e148f-c213-41cd-91bd-f8393298437e · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark

Reference 273

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:13.465263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:13.465263Z digest=sha256:336ff3ddca9deb23e296544976b7d65922053352d9ce45367950e888d7213b12

Observation ae27ed86-bbbc-4e92-8791-c85f64145ec5 · 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 BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:22:14.454907Z

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:a9b264cb411e8cceb7f79c26d3cca1031f250185c084469f5a77650f79d5cb12

Observation a04f08e6-b0af-43f8-b644-cb83d3290c28 · 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 BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:52.362736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:52.362736Z digest=sha256:ed11d304e11b3771c37d079342ca048a709354b959877ae4663e351320f8a36e

Observation 599ce35e-7e0a-4a32-adcf-217c835ff979 · 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 BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:42.318721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:42.318721Z digest=sha256:0e5986dc8deca70279380f848f1070e7d56a2158b4f9dc68e410b5b004e27479

Observation 3d95e4e9-f96e-43c7-a6e9-2e31fb50e29c · inbound

Enterprise Large Language Model Evaluation Benchmark cites this paper.

Enterprise Large Language Model Evaluation Benchmark BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T22:56:31.843525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:56:31.843525Z digest=sha256:c01de23283fdafa641a8617593bff26491bc0c3be85868050e28faac47af2390

Observation 0f42e05b-c65f-442c-9f60-cdbc40929c7f · inbound

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations cites this paper.

VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T10:45:26.976853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:45:26.976853Z digest=sha256:e92087ccd28b1d026d599f9215981ff21a20c3b737ac75cd14cb5803d5280c0a

Observation 08a9bd44-48f2-4572-867b-0e6c9f8d5fe3 · 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 BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:14.165784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:14.165784Z digest=sha256:04772cc02ebb6326cabca36fbf259fa03375229340cc7b3e57048913b6546919

Observation 9d7ca88d-b784-4236-ac0c-8ea8029c9960 · inbound

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) cites this paper.

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:42:46.429408Z

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=arxiv_source observed=2026-05-18T17:42:34.395450Z digest=sha256:f1001d1302d151556e1b26477128471955cf8b607b727807a85cd09d1e2fe884

Observation 8fa118b7-e0de-4f91-bda3-888599e66993 · inbound

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) cites this paper.

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T18:57:21.740662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:57:21.740662Z digest=sha256:67e47c171bf95d17340206740f5c740517a9897e8c83c71193097f8880afe5e8

Observation 8beae8aa-0a8d-4f89-a325-ec3f7c2a308a · inbound

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

FinDocMRE: A Benchmark for Document-Level Financial Multimodal Reasoning Evaluation BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:32:54.652495Z

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=sha256:2b959afb6939797e4f65a11daa59dbfc4370c3c1d30bdfa2a5ab58d9b721c7cd

Observation 9e7a8928-0f6b-418b-9d65-b75d6f065ca1 · inbound

YouZhi: Towards High-Concurrency Financial LLMs via Adaptive GQA-to-MLA Transition cites this paper.

YouZhi: Towards High-Concurrency Financial LLMs via Adaptive GQA-to-MLA Transition BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:06:59.458920Z

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=arxiv_source observed=2026-06-28T01:33:54.383507Z digest=sha256:c7c2f60d32fb899b0d76a2cbe45e6a24721167ffcce17c3a4c2ca99136d585a7