Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:24:34.425448Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 9 inbound Pith citation observations for arXiv:2507.13618.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:24:34.425448Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T11:16:11.482499Z
63 of 63 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a479c883-80ab-4f15-be41-64575c97cced · outbound
Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Brown, Stephen A
Reference 1
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Reference 2
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Attention is all you need.Advances in neural information processing systems, 30, 2017
Reference 3
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters No Language Left Behind: Scaling Human-Centered Machine Translation
Reference 4
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters The unreasonable effectiveness of few-shot learning for machine translation
Reference 5
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Multilingual machine translation with large language models: Empirical results and analysis
Reference 6
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters A paradigm shift in machine translation: Boosting translation performance of large language models
Reference 7
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Observation ac1b9c4a-47e0-4e4e-91c9-762e7eadfe23 · outbound
Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Alves, José Pombal, Nuno M
Reference 8
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Claude 3.5
Reference 9
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Findings of the WMT24 general machine translation shared task: The LLM era is here but MT is not solved yet
Reference 10
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Salute the classic: Revisiting challenges of machine translation in the age of large language models.Transactions of the Association for Computational Linguistics, 2025
Reference 11
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Gemma 3 Technical Report
Reference 12
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters The llama 4 herd: The beginning of a new era of natively multimodal ai innovation.https://ai
Reference 13
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Qwen3 Technical Report
Reference 14
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Hello gpt-4o
Reference 15
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 16
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Gemini 2.5
Reference 17
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters # instag: Instruction tagging for analyzing supervised fine-tuning of large language models
Reference 18
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Mistral 7B
Reference 19
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters The Llama 3 Herd of Models
Reference 20
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Qwen2.5 Technical Report
Reference 21
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
Reference 22
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Measuring Massive Multitask Language Understanding
Reference 23
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
Reference 24
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Crosslingual Generalization through Multitask Finetuning
Reference 25
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Reference 26
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification
Reference 27
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Observation 86af5eb8-f592-45ec-95b6-4b92c186566e · outbound
Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters The flores-101 evaluation benchmark for low-resource and multilingual machine translation.Transactionsof the Association for Computational Linguistics, 10:522–538, 2022
Reference 28
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters G-DIG: Towards Gradient-based Diverse and High-quality Instruction Data Selection for Machine Translation
Reference 29
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Observation 2895c2e0-9ed7-4c1f-a711-3be3361b7e5f · outbound
Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
Reference 30
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters DuPO: Enabling Reliable LLM Self-Verification via Dual Preference Optimization
Reference 31
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Observation 51beec6a-9310-4c93-a65e-38792c69b326 · outbound
Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Bleu: a method for automatic evaluation of machine translation
Reference 32
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Bleurt: Learning robust metrics for text generation
Reference 33
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection
Reference 35
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Comet: A neural framework for mt evaluation
Reference 36
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Proximal Policy Optimization Algorithms
Reference 37
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages
Reference 38
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Internlm2 technical report, 2024
Reference 39
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier
Reference 40
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Mistral large
Reference 41
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Reference 42
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 43
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Language tags matter for zero-shot neural machine translation
Reference 44
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Large Language Models as Agents in Two-Player Games
Reference 45
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters A paradigm shift in machine translation: Boosting translation performance of large language models, 2023
Reference 46
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Observation 166e70cd-f8c1-4139-be1c-1c599acbe985 · outbound
Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters How do Large Language Models Handle Multilingualism?
Reference 47
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Opencompass: A universal evaluation platform for foundation models
Reference 48
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Sailer: structure-aware pre-trained language model for legal case retrieval
Reference 49
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture
Reference 50
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters A Survey of Large Language Models in Medicine: Progress, Application, and Challenge
Reference 51
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 52
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Reference 53
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Reference 54
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Observation 27868fad-7939-4b79-bf1b-0d228f27a00f · outbound
Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters StarCoder: may the source be with you!
Reference 55
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Observation 62c62746-29d9-462e-b85f-a52e0e9c5269 · outbound
Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Wizardcoder: Empowering code large language models with evol-instruct
Reference 56
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Mammoth: Building math generalist models through hybrid instruction tuning.arXiv e-prints, pages arXiv–2309, 2023
Reference 57
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Observation 7aefb3ab-c5f4-45d2-a6dc-2aaa1ed5c352 · outbound
Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Contrastive preference optimization: Pushing the boundaries of llm performance in machine translation, 2024
Reference 58
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine
Reference 59
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Reference 60
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Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Trans-Zero: Self-Play Incentivizes Large Language Models for Multilingual Translation Without Parallel Data
Reference 61
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Reference 62
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Reference 63
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Reference 64
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Reference 10
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Reference 228
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