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New open 4B model ATTRICITE advances citation recovery for faithful attribution

By PulseAugur Editorial · [1 sources] ·

Researchers have developed ATTRICITE, a new 4-billion parameter open-source model designed to improve faithful citation attribution in scientific literature. The model focuses on citation recovery, identifying the specific paper cited by an author from a given passage. ATTRICITE was trained using the CITEALIGN dataset and fine-tuned with GRPO, achieving a target-match accuracy of 59.8%, which surpasses larger models like gpt-oss-20b and approaches GPT-5.4-mini. AI

IMPACT This research could lead to more reliable AI systems for scientific literature analysis and knowledge discovery.

RANK_REASON The item describes a new open-source model and dataset released for research purposes, detailing its training and performance on a specific task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New open 4B model ATTRICITE advances citation recovery for faithful attribution

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The item describes a new open-source model and dataset released for research purposes, detailing its training and performance on a specific task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yee Man Choi, Xuehang Guo, Songcheng Cai, Yimu Wang, Yi R. Fung, Qingyun Wang ·

    ATTRICITE: Training an Open 4B Model for Citation Recovery toward Faithful Attribution

    arXiv:2609.14248v1 Announce Type: cross Abstract: Faithful citation attribution begins with identifying the intended source for a scientific claim. We study this source-identification capability through citation recovery: recovering the paper cited by the original author from a c…

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