SEP 3, 2026 · PREPRINT
When Quantization Breaks Memory: Recurrent-State Write-Back in Low-Precision Temporal Inference
arXiv
This is a computational methods paper presenting a mechanistic analysis of quantization effects in recurrent neural networks, demonstrating a failure mode and proposing technical interventions, but without validation on real-world clinical or biological outcomes.
Reported
Error increase for τ1 with 4-bit…approximately 70x
Error increase for τ2 with 4-bit…approximately 300x