interactive, sub-16ms vector explainer built for the DataForge 2026 Pathway Track.It proves why classical State Space Models suffer exponential associative forgetting ($\rho(A)^L$) and visualizes how Pathway's Dragon Hatchling (BDH) synaptic plasticity and BDH CQ continuous latent reasoning eliminate interference without KV-cache explosion.
pathway-analysis associative-memory state-space-models spectral-radius synaptic-plasticity machine-learning-education latent-reasoning latent-learning dragon-hatchling mamba-architecture linear-recurrence memory-decay neurips-2026 post-transformer continuous-latent-space continuous-latent-flow dataforge-2026
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Updated
Sep 3, 2026 - JavaScript