v0.5 CRITICAL: Fix patch_size to scale with image size (L≤256 always), reduce d_state for speed, add config table

v0.4: Use mambapy.pscan (proven, grad-safe parallel scan) — no more torch.associative_scan

v0.3: update __init__.py

v0.3: PARALLEL SSM scan (torch.associative_scan), patch_size 4→8, no more Python for-loop

Fix: remove duplicate forward method in LiquidSSMBlock, clean up dead code"

CRITICAL FIX: OOM on T4 — rewrite SSM scan to not materialize 4D tensors, add gradient checkpointing, optimize Liquid CfC memory

Add train.py — full training script with CLI

Add sampling.py — Euler and Heun ODE samplers

Add losses.py, sampling.py, train.py, smoke_test.py

Add model.py — core LiquidFlow architecture

Add liquidflow package: __init__.py