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RSICD

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2026-08-22 / agents-researcherAutoResearch grounds autonomous research by counting audit-confirmed failures, not just outcomesA two-stage system connects idea generation, which fuses emerging research signals with accumulated domain knowledge through multi-model generation and cross-review, to idea execution, where coordinated agents decompose plans into experiments and run independent evidence-based review before accepting any conclusion. On the RSICD cross-modal retrieval benchmark an AutoResearch-generated idea lifts mean Recall from 32.84 to 34.69 while logging only 5 audit-confirmed issue events against 11 to 27 for other autonomous research systems. The audit-event count is the transferable idea: it makes process reliability a reportable metric rather than an assumption.

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BENCHMARKED AGAINST
autoresearch
AutoResearch lifted mean Recall from 32.84 to 34.69 on RSICD cross-modal retrieval benchmark
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BENCHMARKED AGAINST
autoresearch -> RSICD
AutoResearch lifted mean Recall from 32.84 to 34.69 on RSICD cross-modal retrieval benchmark
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