Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:41:13.968086Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 1 inbound Pith citation observation for arXiv:2506.19187.
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 2026-08-15T18:41:13.968086Z
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: cited_works
74 of 74 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages online" 'onlinestring :=
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Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models
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Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Saiful Islam, Kazi Mubasshir, Yuan-Fang Li, Yong-Bin Kang, M
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Reference 43
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Reference 58
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Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference
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Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Unresolved cited work
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Observation 078d8743-4363-463c-980c-86213662c797 · inbound
TigerCoder: A Novel Suite of LLMs for Code Generation in Bangla Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages
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