, #5)

- Correct the resolve_optimum_library docstring: an explicit
  `--library transformers` is still rerouted for wrapped types (the predicate is
  library_name == "transformers"); only an explicit non-transformers library is
  returned unchanged.
- Export resolve_optimum_library via loader/__init__.py (__all__ + module
  Public API docstring) since it is consumed cross-package; import it from
  ..loader in export/io.py and commands/inspect.py.

…sampling, promote_findings)

Aligns the autoconfig POC code with docs/self-evolution-design.html section 4. Implements
the components still marked TODO; champion-config, arch pruning (build_insight) and
the feature-gaps log were already done.

bench_utils.py (Fix #1/#2/#5):
- run_perf_session: atomic single-session perf primitive
- paired_ab_bench / adaptive_paired_ab_bench: interleaved baseline-vs-hypothesis
  A/B so DVFS drift cancels in the within-pair ratio; adaptive variant samples until
  the 95% CI is decisive (KEEP/DISCARD band) or MAX_PAIRS, returns verdict + CI
- thermal_classify: COOL/WARM/HOT_RUN from a cold reference latency
- session_cv: shared between-session noise-floor helper

promote_findings.py (Fix #4, NEW): reads catalog-*-sweep/*/results.json, applies the
L1->L4 confidence ladder (L2 = effect-size gate, L3 = >=2 models/arch, L4 = >=3 arch
classes), writes ep_knowledge/_auto_promoted.json as a draft sink that never clobbers
curated KB. Tolerant of both QNN (full.p50s_ms) and GPU/CPU (full_p50s_ms) schemas.

catalog_qnn_sweep.py (Fix #1 wiring): opt-in --paired-ab flag (default off) that runs
adaptive paired A/B per hypothesis against the baseline ONNX and records verdict + CI;
sequential Phase B remains the default path.

README: document the self-evolution tooling and refresh the directory layout.