Track pattern evidence and ongoing language learning

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

research/plan/ResearchProgram.md

@@ -1,6 +1,6 @@
 # Frontend Patterns Research Program
 
-Status: planned · Program established: 2026-09-24
+Status: ongoing · Program established: 2026-09-24
 
 Start with [Research Protocol](ResearchProtocol.md), the
 [executable research bench](../bench/README.md), then the
@@ -388,3 +388,20 @@ Useful progress means improving one or more of:
 - evidence quality,
 - applicability across architectures,
 - retrieval quality for humans and agents.
+
+## 13. Continuous learning and transparent evolution
+
+Milestones are finite review boundaries within an ongoing research program. Passing
+a gate does not finish the language. Evidence can narrow, supersede or demote a
+pattern; preserve those changes as part of the knowledge base.
+
+[FEP-WP-0006](../../workplans/FEP-WP-0006-language-evolution.md) establishes the
+[evidence baseline and evolution method](../evolution/README.md). Its generated
+[report](../evolution/EvolutionReport.md) separates current maturity, support tiers,
+coverage, usefulness and learning outcomes. Early rapid learning and later diminishing
+returns are testable expectations, not a prescribed curve or catalog-size target.
+Measure prospective comparable cycles, retain unknown historical effort, and record
+corroboration separately from consequential revisions. Broaden contexts when they
+expose new decisions; improve structure when ambiguity prevents use; seek independent
+validation when mechanisms stabilize. Keep fresh evaluation tasks separate from
+consumed development anchors, including the immutable language pilot.