Current learned weights (same keys as DEFAULT_WEIGHTS plus any custom scorers).
Baseline values the system started from (hard-coded defaults).
current - defaults per scorer; positive = reinforced, negative = penalized.
Diagnostic health signals for the learning loop. See WeightHealth.
Unix millisecond timestamp of the most recent weight update, or null if never updated.
OptionalnamespaceNamespace-local report when getWeightReport(namespace) is requested.
True when no delta exceeds 5% of its default weight.
A stable system has not yet learned much, or has converged back to near-default weights after a period of learning. Not necessarily a problem — a homogeneous mesh naturally converges to defaults.
Total number of gradient steps applied since the daemon started (or since last reset).
A point-in-time snapshot of learned scorer weights with change context.
Returned by getWeightReport and exposed via
GET /.mesh/weights.