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Main Authors: Zhang, Fan, Song, Mingzi, Elbadry, Rania, Chen, Yankai, Wang, Shaobo, Zhou, Yixi, Zheng, Xunwen, He, Yueru, Dai, Yuyang, Georgiev, Georgi, Gull, Ayesha, Safder, Muhammad Usman, Wu, Fan, Meng, Liyuan, Ji, Fengxian, Zhao, Junning, Peng, Xueqing, Huang, Jimin, Chen, Yu, Xue, Liu, Nakov, Preslav, Xie, Zhuohan
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2604.05966
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author Zhang, Fan
Song, Mingzi
Elbadry, Rania
Chen, Yankai
Wang, Shaobo
Zhou, Yixi
Zheng, Xunwen
He, Yueru
Dai, Yuyang
Georgiev, Georgi
Gull, Ayesha
Safder, Muhammad Usman
Wu, Fan
Meng, Liyuan
Ji, Fengxian
Zhao, Junning
Peng, Xueqing
Huang, Jimin
Chen, Yu
Xue
Liu
Nakov, Preslav
Xie, Zhuohan
author_facet Zhang, Fan
Song, Mingzi
Elbadry, Rania
Chen, Yankai
Wang, Shaobo
Zhou, Yixi
Zheng, Xunwen
He, Yueru
Dai, Yuyang
Georgiev, Georgi
Gull, Ayesha
Safder, Muhammad Usman
Wu, Fan
Meng, Liyuan
Ji, Fengxian
Zhao, Junning
Peng, Xueqing
Huang, Jimin
Chen, Yu
Xue
Liu
Nakov, Preslav
Xie, Zhuohan
contents Financial reporting systems increasingly leverage Large Language Models (LLMs) to extract and summarize corporate disclosures. However, most existing approaches assume a single-market setting and overlook structural differences across jurisdictions. Variations in accounting taxonomies, tagging infrastructures (e.g., XBRL vs.\ PDF), and aggregation conventions introduce substantial challenges for semantic alignment and reliable verification. Here, we aim to bridge this gap. We present FinReporting, an agentic workflow for localized cross-jurisdiction financial reporting. The system constructs a unified canonical ontology spanning the income statement, balance sheet, and cash flow statement, and decomposes reporting into auditable stages, including filing acquisition, extraction, canonical mapping, and anomaly logging. Rather than treating LLMs as free-form generators, FinReporting employs them as constrained verifiers operating under explicit decision rules with evidence grounding. Evaluated on annual filings from the USA, Japan, and China, FinReporting improves consistency and reliability under heterogeneous reporting regimes. We further release an interactive demo that enables cross-market inspection and supports structured export of localized financial statements. Our demo is available at url{https://huggingface.co/spaces/BoomQ/FinReporting-Demo. A video describing our system is available at https://www.youtube.com/watch?v=f65jdEL31Kk.
format Preprint
id arxiv_https___arxiv_org_abs_2604_05966
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosures
Zhang, Fan
Song, Mingzi
Elbadry, Rania
Chen, Yankai
Wang, Shaobo
Zhou, Yixi
Zheng, Xunwen
He, Yueru
Dai, Yuyang
Georgiev, Georgi
Gull, Ayesha
Safder, Muhammad Usman
Wu, Fan
Meng, Liyuan
Ji, Fengxian
Zhao, Junning
Peng, Xueqing
Huang, Jimin
Chen, Yu
Xue
Liu
Nakov, Preslav
Xie, Zhuohan
Computation and Language
Financial reporting systems increasingly leverage Large Language Models (LLMs) to extract and summarize corporate disclosures. However, most existing approaches assume a single-market setting and overlook structural differences across jurisdictions. Variations in accounting taxonomies, tagging infrastructures (e.g., XBRL vs.\ PDF), and aggregation conventions introduce substantial challenges for semantic alignment and reliable verification. Here, we aim to bridge this gap. We present FinReporting, an agentic workflow for localized cross-jurisdiction financial reporting. The system constructs a unified canonical ontology spanning the income statement, balance sheet, and cash flow statement, and decomposes reporting into auditable stages, including filing acquisition, extraction, canonical mapping, and anomaly logging. Rather than treating LLMs as free-form generators, FinReporting employs them as constrained verifiers operating under explicit decision rules with evidence grounding. Evaluated on annual filings from the USA, Japan, and China, FinReporting improves consistency and reliability under heterogeneous reporting regimes. We further release an interactive demo that enables cross-market inspection and supports structured export of localized financial statements. Our demo is available at url{https://huggingface.co/spaces/BoomQ/FinReporting-Demo. A video describing our system is available at https://www.youtube.com/watch?v=f65jdEL31Kk.
title FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosures
topic Computation and Language
url https://arxiv.org/abs/2604.05966