pivot(v9): SRE-specialist trainer prep — knowledge corpora + 6 role personas

feat(overnight): scoring rubric + report generator + multi-window orchestrator

feat(release): add file:/local-path support + arkship to allowlist

feat(v8+autonomy): research-driven trainer + 4 daemons + 9-layer safety gate

feat(v7): Spectrum-lite + Magpie + active-learning + full swap-and-bench chain

feat(v1.1-extended): pivot to 7B base + EXTENDED stack on Kaggle T4×2

feat(post-bench): 3-branch decision pipeline ready before bench fires

feat(civo): L40S 48GB training launcher with auto-teardown

fix(watcher+bench): retarget 14B v1.5-mid (Kaggle T4×2 reality)

feat(synth-puller): round-robin between 2 PRO ZeroGPU endpoints

fix(auto-bench-watcher): bash structure (else clause was nested wrong)

fix(auto-bench-watcher): single-API-call check (avoid pipe-stdout dup)

feat(auto-bench): watcher fires bench-v1-vs-v15 on first v1.5 checkpoint

rename: drop '-lora-' segment from all model names + capitalize v1.5 size

feat(eval): axentx-eval-50 — 50-prompt in-domain DevSecOps eval suite

feat(harvest): lift source-side length caps 6K/8K → 100K/200K chars

feat(v1.5): 32B SFT config + 3-way benchmark (v1 vs base32B vs v1.5)

fix: disable chutes ladder + zero-gpu cold-start retry

fix(synth-puller): switch /run/ → /call/<api>/<event_id> SSE poll

fix(data-feed): repair dataset feeding gaps

feat(rounds-7-12-clean-no-tokens): SHARD + ZeroGPU + personae + monitor

feat(burst-but-dont-die): adaptive auto-scaler + tighter discoverer cycle

fix(oom-permanent): memory guard + redis cap + heavy-task gating

feat(round12-tier2-regress): GSPO + CodeScaler stubs + 10-step regression suite

feat(round10-continuous): always-on multi-source crawler + tight worker idle

feat(round8-trillion): 207 sources + streaming worker + enrich pipeline + dual-mode mirror

feat(round7-tier1): 4 frontier-2026 techniques (low effort, high impact)

feat(round7-scale): +90 datasets + aggressive HF harvester + unified llm-ladder

feat(pro-bridges): hf-inference + zero-gpu + submit-hf-job

feat(v2-round6): TruthRL + Validator-RLVR + LoraHub + Self-Refine + Letta + 9-cluster configs

feat(v2-round5): sustainability loops + 2026 techniques

feat(bulk-mirror): 100+ massive datasets + 4-worker claim-queue coordination

feat(v2): ambitious targets + 5 free-technique implementations

feat(v2): Phase A complete build infrastructure ready to execute