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learnharness/components
amosblomqvist 3a1c18b9de Inference-depth anchoring playground: vertical + radial modes
The graph's follows/supports edges encode derivation (premise ->
conclusion); the layout can now express that rank spatially, as a
session-only playground toggle (nothing promoted yet):

- inferenceDepths: longest chain from a base node, CYCLE-SAFE by
  SCC condensation (Tarjan, iterative) — the DAG property is typical,
  not guaranteed; cycle members share their component's depth (mutual
  support = equal footing). O(V+E), pure, deterministic.
- DepthAnchor force: per-node target scalar — vertical mode rows
  (baseline at the anchor centroid, arrows up), radial mode rings
  (foundations center, outer boundary = edge of knowledge). The rank
  is computed, not simulated: pairwise up-forces can't give baselines.
- Mode projections: gravity x-only in vertical / dropped in radial;
  cluster pull x-only in vertical / tangential-only in radial; the
  anchor re-blend preserves user arrangement in the FREE dimension
  only (x / angle) — meaning owns the constrained axis, memory owns
  the free one.
- setPhysicsTuning reheats (alpha 1): toggling a mode re-forms the
  graph live and commits the new rest state; drag release is springy
  along the constrained axis (node returns toward its level/ring).
- Sweep on the real graph: strength 0.8 = 215/216 arrows correct with
  organic sag; 1.5 = crisp rows. 174 base nodes, max chain depth 7,
  zero cycles in current data. replay-layout --depth=<mode> bakes a
  mode into the ledger for rest-state experiments.
2026-09-13 10:20:50 +03:00
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