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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 8 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=sha256:170520d4f4c23f5cf812f0269d02f5d2e89dbbde02c1ec8e925c09551e1165b3

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=sha256:5f279fcf668516502bc02dc38263c665a1c7a72273c607f2044f6dc37fb72493

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=sha256:145aec5a4167952e7ee787f4a168ae3f518d6b97ac826ae083d2d44a3332601c

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=sha256:12db18dc8e8103d3f1187b3347ad96839f0fe74710feb383159fefce950ab53a

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=sha256:69a3980a3c728fad0bc517d4bfa96fa3bb4a585700b42f13a882192deb7a1665

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=sha256:0132073a38778a9f7b8e9094be8478455bb6a0606fceff5422364987fc149ace

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=sha256:50f3d1f004c518cf23e2716cee8a782f757d20935193ab1d82b6c1704b0bc3b8

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:ba49e462e0a71a07b65d3c5ff52b06fb3879d1105111ffb9da8cee6e888c0d4e

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:c011b96e8b7209e355e1f6af367bf2d127c1052865ed111609f591080c0a452a

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:e966d192e6a4f0db4979077cb65fe4156d1c4997e8f834b8e1da2951138f5d59

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:a80f4f3308c50fb173285d3fe75881fadf59731fa9a47ed66517bff04ab64769