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      "statement": "# InfiniteBench: evaluation on contexts averaging beyond 100K tokens\n\nCombined synthetic and realistic English/Chinese tasks in retrieval, code, mathematics, novels and dialogue to test models beyond the usual short long-context benchmarks.\n\n## Scientific scope\n\nThe average exceeds 100K tokens; not every task or example does. Lengths and difficulty vary substantially, and input plus output lengths are separately reported. Capability is task- and metric-specific, not guaranteed for arbitrary 100K-token inputs.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nXinrong Zhang; Yingfa Chen; Shengding Hu; Zihang Xu; Junhao Chen; Moo Khai Hao; Xu Han; Zhen Leng Thai; Shuo Wang; Zhiyuan Liu; Maosong Sun\n\nSource-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.\n\n\n\n## Original sources\n\n- [$\\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens](https://arxiv.org/abs/2402.13718v1)\n",
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