AI RESEARCH
AnalogRetriever: Learning Cross-Modal Representations for Analog Circuit Retrieval
arXiv CS.CV
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ArXi:2604.23195v1 Announce Type: new Analog circuit design relies heavily on reusing existing intellectual property (IP), yet searching across heterogeneous representations such as SPICE netlists, schematics, and functional descriptions remains challenging. Existing methods are largely limited to exact matching within a single modality, failing to capture cross-modal semantic relationships. To bridge this gap, we present AnalogRetriever, a unified tri-modal retrieval framework for analog circuit search.