Three improvements from today's self-review:
1. ENGRAM_BREAKTHROUGH_WEIGHT 0.25→0.10
Live data showed 524/525 WM nodes at breakthrough floor (0.25). Knowledge
nodes promoted at 0.21 decayed to 0.147 in one call, fell below the old
0.25 floor, and were immediately evicted for fresh breakthrough candidates.
Natural promotion was invisible. Invariant maintained: 0.10 < all
per-type thresholds (min=0.15 Canonical).
2. ENGRAM_WM_CAP=24 with Pass 4 (per-call) + Pass 5 (global) enforcement
Without a cap, broad queries like 'knowledge' promote 525+ nodes
simultaneously. WM is now bounded to 24 nodes. Algorithm: qsort on
promoted weights, keep top-24 by cutoff, evict the rest. Global pass
enforces cap across nodes that were promoted in prior calls and persist
via working_memory_weight. Validated: WM promoted goes 525→24.
Cognitive basis: Cowan (2001) WM ~4 chunks; 24 gives richer multi-topic
context while preventing flooding.
3. ISE exclusion from WM + /api/neuron/state-events route
InternalStateEvent nodes were reaching WM via breakthrough (5 suppression
cycles) because their content (curiosity seed JSON with 'knowledge',
'memory', etc.) triggered lexical seeding. ISEs are observability-only
and must never surface in context. Fix: guard in Pass 2 clears
suppression_count and skips to wm_weights[i]=0.0.
Also added POST /api/neuron/state-events route to server.el (auth-exempt,
internal endpoint). The main soul daemon posts ISEs here but the route
was missing — all ise_post() calls were silently returning 'not found'.
Research: SYNAPSE (arXiv 2601.02744) validates spreading factor 0.8 (our
0.7), top-M WM cap design, and cosine similarity seeding. Next priority:
implement cosine similarity initial seeding from the other branch.
will.anderson
Will Anderson