AI RESEARCH
Efficient Vector Symbolic Architectures from Histogram Recovery
arXiv CS.AI
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ArXi:2511.01838v2 Announce Type: replace-cross Vector symbolic architectures (VSAs) are a family of information representation techniques which enable composition, i.e., creating complex information structures from atomic vectors via binding and superposition, and have recently found wide ranging applications in various neurosymbolic artificial intelligence (AI) systems and hardware systems.