A Claude system must analyze research papers averaging 60,000 tokens each. Users ask questions requiring information from multiple sections. Initial implementation embeds full papers in context but experiences lost-in-the-middle effects where Claude misses relevant information from middle sections. Which context strategy should the architect implement?
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