2026-10-06T17:02:51Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34007277 2026-09-28T01:56:16Z category_29089 category_25357 item_type_3 month_year_09_2026

Research Data for “Beyond Document Retrieval: Bitemporal Regulatory State Reconstruction for LLM-Based Trade Compliance” Nurkyan Randaxhe (25116789) Information systems development methodologies and practice Business information systems decision support systems–DSS <p dir="ltr">This dataset contains the machine-readable research materials supporting the study “Beyond Document Retrieval: Bitemporal Regulatory State Reconstruction for LLM-Based Trade Compliance.”</p><p dir="ltr">The dataset includes frozen evaluation cases and Gold benchmark targets, E/H/F evidence packages, authenticated prospective model outputs, parsed predictions, analysis data, frozen evaluation protocols, parser and scoring materials, runtime and failure records, and a legal-source manifest. The evaluation covers U.S. Section 301 tariff classification, EU Carbon Border Adjustment Mechanism (CBAM) regulatory-state classification, and CBAM liability calculation across two model families.</p><p dir="ltr">The three evidence conditions are: E, a flat retrieved-evidence package; H, an integrated structured regulatory-state package combining source lineage, information time, legal-effective time, scope, and domain state; and F, a frozen operative-rule reference package.</p><p dir="ltr">The package is intended to support transparent reproduction of the reported benchmark-internal results, including full-denominator performance, response-production and parseability decomposition, liability exactness measures, and post-hoc sensitivity analyses. Known limitations in case sampling and Gold-production provenance are documented explicitly. Official regulatory materials are referenced through source identifiers and official URLs rather than redistributed as author-created data.</p><p dir="ltr">The archived materials are sufficient to reproduce the reported scoring and analysis without rerunning the language-model API calls.</p> 2026-09-28T01:56:16Z Dataset Dataset 10.6084/m9.figshare.34007277.v1 https://figshare.com/articles/dataset/Research_Data_for_Beyond_Document_Retrieval_Bitemporal_Regulatory_State_Reconstruction_for_LLM-Based_Trade_Compliance_/34007277 CC BY 4.0