Benching the v0.2 LoRA training track after Phase 3 audit revealed corpus imbalance as the resume-blocker (10 RELATIONAL training records covering 2 of 4 sub-categories). Granite 4.1 3B instruct via Ollama stays as production; calibration confirmed at 65% partial-credit, unchanged from v0.1.0.
v0.1.32026-06-09
·docs/agent/deferred/v02_lora_track.md: complete Phase 1/2/3 summary, resume conditions, resume plan
·llm_adapter.py: corrected comment — model is instruct not base (verified via modelfile template)
·Resume conditions: corpus ≥1000 records OR specific downstream capability requires accuracy lift