debugging-reservoir

name: debugging-reservoir description: "Debug and tune the echo state network reservoir. Use when diagnosing spectral radius issues, chaotic dynamics problems, sparse weight anomalies, or reservoir-to-hypervector projection failures."

Debugging the Reservoir

Architecture Overview

The reservoir is a sparse Echo State Network in src/reservoir.rs:

• Reservoir: core ESN with sparse adjacency-list weights
• ChaoticReservoir: wrapper adding noise perturbation for edge-of-chaos dynamics

Sparse Weight Format

Weights are Vec<Vec<(usize, f32)>> — each row is a list of (column_index, weight).

• Input weights (w_in): 32 connections per neuron
• Reservoir weights (w_res): 64 connections per neuron (or min(64, size))
• Dot product via dot_sparse_row(&weights[i], &values)

Spectral Radius Debugging

The spectral radius controls chaos level. Must be in [0.9, 1.1].

Symptoms of wrong radius

How radius is estimated

Power iteration (16 steps) in estimate_spectral_radius():

1. Start with uniform vector v
2. Repeat: v = W * v, then normalize
3. Compute Rayleigh quotient: v^T W v / v^T v

If radius is wrong after init, check:

• Are weights being scaled? (scale = target / current)
• Is current_radius returning 0? (degenerate weights)
• Is degree too low? (< 8 may give poor estimates)

to_hypervector() Projection

Projects reservoir state → HVec10240. Requires size >= 10240.

• Divides state into 10240 chunks
• Each chunk sum > 0 → bit = 1

Common errors

• InvalidDimension { expected: 10240, actual: N } — reservoir too small
• All-zero hypervector — reservoir state hasn't been activated (call step() first)

Chaotic Reservoir Noise

ChaoticReservoir adds uniform noise ±chaos_strength to each input element. Uses a separate RNG seeded with seed ^ 0xA5A5_5A5A_F0F0_0F0F for independence.

Diagnostic Checklist

1. Is step() being called before to_hypervector()?
2. Is the reservoir reset() between independent sequences?
3. Is size >= 10240 for projection?
4. Is spectral radius in [0.9, 1.1] after construction?
5. Are tests using new_seeded(..., 42) for determinism?