Single molecule localization microscopy challenge: a biologically inspired benchmark for long-sequence modeling

ArXi:2603.11296v1 Announce Type: new State space models (SSMs) have recently achieved strong performance on long sequence modeling tasks while offering improved memory and computational efficiency compared to transformer based architectures. However, their evaluation has been largely limited to synthetic benchmarks and application domains such as language and audio, leaving their behavior on sparse and stochastic temporal processes in biological imaging unexplored. In this work, we