Search, Inspect, Fetch: Exploiting Boolean Retrieval for Deep-Research Agents
Existing deep-research agents use a search-visit workflow that retrieves and reads whole pages, without considering the addressable structure that web sources expose through titles, headings, sections, and metadata. This prevents agents from directly constraining retrieval to document fields and often carries irrelevant page content into their context. We introduce SIEVE, a search-inspect-fetch interface driven by fielded Boolean retrieval (BQL). SIEVE filters candidates over document fields, ra
Record details
Published: 2 August 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Agents & autonomy
Retrieved: 6 August 2026
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How to cite this record
ethics.ai (2 August 2026), “Search, Inspect, Fetch: Exploiting Boolean Retrieval for Deep-Research Agents,” evidence record 16610, https://ethics.ai/record/16610 (originally published by HuggingFace Daily Papers).
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