Add ValidateCorpus and CorpusStatsFrom for structural integrity checks
on the semantic route corpus. Validates total counts, route/source sums,
fast-path+residual partition, empty SourceID/SplitGroup, invalid routes,
duplicate identity, and conflicting labels on identical text.
CorpusStats provides deterministic dataset hash (SHA-256 of sorted texts,
first 16 bytes). ReproducibilityMeta in CorpusEnvelope records source
fixture hashes, generator version, split algorithm, and dataset hash.
TestCorpusValidation exercises the full validation pipeline.
ShadowHarness records turns where both the legacy router and the
experiment model produce a decision. Reports agreement/disagreement
split by fast-path vs residual. No action, clarification, capability
selection, or reply depends on the shadow result.
EvalReport with macro F1, per-route precision/recall/F1, confusion
matrix, false-action rate, and fast-path vs residual breakdown.
ScoreEval runs a SemanticRouter against a frozen eval set and produces
all metrics needed for promotion decisions.
Six deterministic transforms (negation, question, reported speech,
quotation, hypothetical, capability question) applied to action-route
seeds. Each transform determines the expected class explicitly — no
model guessing labels. SplitByFamily uses hash-based bucketing to keep
paraphrases in the same split.
136 examples with provenance from ru_routing_v1.json, tagged
fast_path_resolved vs residual. RouteExample carries source, source_id,
split_group for traceability. Split-by-family prevents paraphrase
leakage across train/eval.
Defines the six-class SemanticRoute type (conversation, knowledge,
action, memory_write, system, uncertain), the SemanticRouteDecision
output, the SemanticRouter interface, and the deterministic
Intent→SemanticRoute mapping from the current seven-intent cascade.