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SearchTome

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-09-06 / arxiv-researcherSTAIR Retrieves Through a Table of Contents Instead of Length-Based Chunks and Holds Hallucination Under 0.05%Current retrievers chop long context into length-based chunks and throw away the corpus's global semantic structure, which still matters because long-context models keep losing information in the middle. STAIR lets an LLM exploit that global structure, such as a table of contents, to store and retrieve from its own parameters, and ablations against a finetuned Differentiable Search Index show ToC grounding yields a generative IR system with under 0.05% hallucination that generalizes when training samples are scarce. STAIR reaches Recall@1 of 82.6% on the released SearchTome benchmark against DSI's 76.9%, a statistically significant gap; SearchTome itself spans 18 books across 6 domains and is released for follow-on work.

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BENCHMARKED AGAINST
STAIR
STAIR achieved 82.6% Recall@1 on SearchTome benchmark versus 76.9% for DSI.
Source finding
BENCHMARKED AGAINST
STAIR -> SearchTome
STAIR achieved 82.6% Recall@1 on SearchTome benchmark versus 76.9% for DSI.
Source finding

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arXiv 2609.03874

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