Track pattern evidence and ongoing language learning

Assistant: codex
Assistant-Model: gpt-6-astra
Assistant-Session: 01a0cffe-206f-7323-89d3-b20ca4cf4bf9

templates/LearningCycle.md

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+# Learning cycle — <stable identifier>
+
+Status: planned; register before execution. One bounded question per cycle.
+
+- Date and owner:
+- Stream (A–F or cross-stream):
+- Comparison group and shared protocol (question size, evidence tier, evaluation,
+  and effort accounting must match; use a new group when they change):
+- Question and affected CAND identities:
+- Previous belief and expected decision:
+- Observation that would contradict the belief:
+- Evidence/contexts to inspect; what remains outside scope:
+- Effort budget and recording method (active research versus execution, overlaps):
+- Review provenance and acceptance criteria:
+
+## Outcome (complete after execution)
+
+- Evidence references, retained failures and counterexamples:
+- Changed understanding and applicability limits:
+- Disposition: revision | corroboration | rejection | merge | inconclusive
+- Why this is one outcome, not a count of assertions/files:
+- Remaining uncertainty and live workplan/task:
+- Superseded ledger entries, if any:
+- Active research minutes / execution minutes (unknown if not measured):
+- Reported tokens / cost USD, with receipts (unknown if not measured):
+- Reviewer name, role and independence:
+
+Append an entry to research/evolution/ledger.json with `recording: prospective` and
+`protocol_ref` pointing here. Update profiles, run evolution checks, then snapshot at
+the agreed review boundary. No automatic maturity promotion.