Unverified50% confidenceOpinionExact time
Mathematical proof search and vulnerability discovery are similar in computational form: both search for specific patterns in a huge search space and both require extensive trial and error and verification.
1
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50%
Confidence
Long-term
Relevance
10/29/2026
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Related Claims
UnverifiedThe bottleneck of single-pass retrieval stems from vector similarity search compressing the user query into a single high-dimensional vector; when a question contains multiple semantic directions, this vector becomes an average of multiple semantics, causing sub-intents to be insufficiently represented.69% similarUnverifiedSemantic search relies on embedding models, which must run locally in an air-gapped environment and have certain hardware requirements; index building is also more time-consuming than with an inverted index.68% similarUnverifiedIn agentic search, bounded retries need to be combined with error classification: transient errors (timeouts, rate limiting) are worth retrying, whereas semantic failures (queries with no results, irrelevant pages) often do not benefit from retries and require switching to query rewriting or a different data source.67% similarUnverifiedDetecting semantic contradictions is far more difficult than finding duplicate pages.67% similar
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