Clark Hash: Stateless Sparse Johnson-Lindenstrauss Quantization for Neural Embeddings 事件

Clark Hash: Stateless Sparse Johnson-Lindenstrauss Quantization for Neural Embeddings arXiv:2605.28034v1 Announce Type: new Abstract: Clark Hash is a small method for storing neural embeddings in less space. It normalizes each database vector, applies a deterministic sparse signed Johnson-Lindenstrauss projection, clips the result, and stores a fixed-width scalar-quantized code. Queries stay in floating point and are scored against the stored sketches. In the default 384-dimensional sentence-em