Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:33:20.690921Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 7 inbound Pith citation observations for arXiv:2501.08197.
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 2026-08-10T20:33:20.690921Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:10:21.973692Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
46 of 46 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
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Reference 3
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Reference 4
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OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training Chinesewebtext: Large-scale high-quality chinese web text extracted with effective evaluation model, 2023
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Observation 2e5a9e7b-d082-451b-99a1-e180089c9f4f · outbound
OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training Redpajama: An open source recipe to reproduce llama training dataset, 2023
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Observation da212012-e2ab-429c-9b1b-2257f381b958 · outbound
OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training FlagAlpha /llama2-chinese, 2023
Reference 18
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OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
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Reference 21
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Reference 22
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OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training Cmmlu: Measuring massive multitask language understanding in chinese, 2023
Reference 23
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Reference 24
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Reference 25
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OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training MiChao-HuaFen 1.0: A Specialized Pre-trained Corpus Dataset for Domain-specific Large Models
Reference 26
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Observation 1b2b70f9-030a-4a25-a09b-9944904b7aba · outbound
OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Reference 27
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Observation 72f56dcd-6efa-48dd-8c27-9f8e32da9b94 · outbound
OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training Infinity instruct, 2024
Reference 28
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Observation c0415548-f576-48ce-9fe5-49ce3369f513 · outbound
OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only
Reference 29
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Observation a172eb7d-55fd-44ba-bfed-53294dd467ab · outbound
OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training The fineweb datasets: Decanting the web for the finest text data at scale
Reference 30
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Observation 59d0637b-9a1c-4435-8a3b-ae56446432c7 · outbound
OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training Fineweb2: A sparkling update with 1000s of languages, December 2024 b
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Observation 9cfb4d22-9e46-4d58-95ff-99993395e5d3 · outbound
OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training Language models and their data
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Observation c5aaea64-6853-43ce-8e40-a612d50e6cc5 · outbound
OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training Sharegpt-chinese-english-90k bilingual human-machine qa dataset
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Reference 34
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OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training SlimPajama: A 627B token cleaned and deduplicated version of RedPajama
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Observation e853389e-a6fc-47e3-b417-2ef59e45e133 · outbound
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OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training CCI3.0-HQ: a large-scale Chinese dataset of high quality designed for pre-training large language models
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OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training Unresolved cited work
Reference 39
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OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training Self-Instruct: Aligning Language Models with Self-Generated Instructions
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OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training Retrieve anything to augment large language models, 2023
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OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval
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