diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 1ef6a15..56b470e 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -107,11 +107,11 @@ soup_cli/
   cans/               - Shareable .can artifact format + run/publish orchestrator (v0.26.0 + v0.33.0)
   data/traces/        - Trace-to-Preference harvester (v0.26.0)
   data/collators.py   - CrossDocCollator for sample packing (v0.33.0)
-  utils/              - GPU, errors, MoE, GaLore, QAT, Unsloth, vLLM, SGLang, Liger, FlashAttn, FSDP, Ring Attention, long-context, quality, curriculum, freeze, dataset-registry, mlx, peft_builder, paths, topology, launcher, mii, pipeline, cut_ce, fp8, gradient_ckpt, kernel_picker, cross_doc_attn, activation_offload, hf, spec_pairing, structured_output, metrics, tracing, auto_quant, lr_finder, grad_accum, mixed_precision, warmup, spike_recovery, convergence, v028_features, multipack_sampler, multipack, neat_packing, jinja_analyzer, quant_menu, relora, peft_patches, peft_wiring, dpo_variants, optimizer_zoo, lr_groups, loftq_init, block_expansion, tts, classifier, distill, bitnet, ebft_gdpo, moe_quant, reasoning_effort, gguf_quant, kv_cache, advanced_precision, save_formats, deploy_measure, advise, advise_history
+  utils/              - GPU, errors, MoE, GaLore, QAT, Unsloth, vLLM, SGLang, Liger, FlashAttn, FSDP, Ring Attention, long-context, quality, curriculum, freeze, dataset-registry, mlx, peft_builder, paths, topology, launcher, mii, pipeline, cut_ce, fp8, gradient_ckpt, kernel_picker, cross_doc_attn, activation_offload, hf, spec_pairing, structured_output, metrics, tracing, auto_quant, lr_finder, grad_accum, mixed_precision, warmup, spike_recovery, convergence, v028_features, multipack_sampler, multipack, neat_packing, jinja_analyzer, quant_menu, relora, peft_patches, peft_wiring, dpo_variants, optimizer_zoo, lr_groups, loftq_init, block_expansion, tts, classifier, distill, bitnet, ebft_gdpo, moe_quant, reasoning_effort, gguf_quant, kv_cache, advanced_precision, save_formats, deploy_measure, advise, advise_history, adapter_diff, adapter_merge, blame, adapter_branch
   templates/          - 17 built-in soup.yaml templates (YAML + manifest.json) with load_template loader (v0.39.0, +bco v0.40.0)
   ui/                 - Web UI (FastAPI + HTML/JS SPA)
 
-tests/                - Test suite (197 files, 8849 tests)
+tests/                - Test suite (201 files, 8998 tests)
 examples/             - Real-world config examples and datasets
 ```
 
@@ -268,6 +268,10 @@ pytest tests/ --cov=soup_cli --cov-report=html
 | test_v0531_139.py | v0.53.1 #139 export_advanced_gguf live: 3-stage llama.cpp pipeline (convert → imatrix → quantize) + UD-prefix strip + subprocess argv shape + `_prepare_calibration_text` JSONL alias fallback + null-byte strip + 50 MB cap + POSIX O_NOFOLLOW + `_safe_stderr` Rich escape (v0.53.1) |
 | test_v0531_109.py | v0.53.1 #109 deploy autopilot --measure: `compute_cache_key` + `sha_of_file` + `measure_candidate` OK/MINOR/MAJOR bands + `pick_best` soft-fallback (max-by-delta) + cache round-trip with symlink rejection on load AND save + CLI integration + `_MAX_CANDIDATES=32` cap + `render_measure_table` markup escape regression (v0.53.1) |
 | test_v0530.py | v0.53.0 Quant Menu II — UD GGUFs + KV cache + NVFP4 + LF parity + save formats: Parts A+B GGUF (UD ladder 14 entries + IQ 12 + Apple/ARM 10 frozensets + non-overlap invariant + `validate_*` case-insensitive + rejection matrix + `is_advanced_gguf_format` union + `_LOWER_INDEX` O(1) lookup + MappingProxyType immutability + `validate_calibration_data_path` shape rejection + 4096-boundary + `export_advanced_gguf` v0.53.1 deferred stub); Part C KV cache (`KV_CACHE_TYPES` frozenset + `validate_kv_cache_type` case + bool/null/oversize/non-string rejection + `requires_hopper` delegates to spec + `get_kv_cache_spec` frozen + schema fp8-on-mlx rejected with specific message + q8_0-on-mlx allowed); Part D advanced precision (`fp8_attention` requires `quantization_aware='fp8'` BEFORE mlx-gate ordering + bool guards on every string param + schema rejects-without-fp8-qat; `nvfp4` mlx + vision rejection + bool guards; `unsloth_bnb_4bit` backend='unsloth' + quantization='4bit' rejection matrix; `apply_*` deferred); Part E LF parity (`bnb_4bit_use_double_quant` rejects none/8bit/gptq parametrize; `llm_int8` rejects default-none + 4bit; `quantize_ref_model` happy on dpo/grpo/kto + rejects sft/pretrain; `quantize_reward_model` happy on ppo/reward_model + rejects dpo; explicit `TypeError("v0.53.0 flag must be bool")` from `_validate_v053_bool_fields`; explicit-null surfaces as `valid boolean` ValidationError); Part F save formats (`MERGE_SAVE_FORMATS` lowercase normalisation + rejection matrix; `TORCHAO_PTQ_SCHEMES` CASE-SENSITIVE — `int4weightonly` rejected; `validate_quant_config_path` 4096-boundary; `MergeSaveSpec` + `TorchAOPTQSpec` frozen + MappingProxyType immutability; `merge_4bit` + `export_torchao` deferred); Cross-cutting (full 5-field YAML round-trip + cardinality invariant + tautological-assert replaced with allowlist + idempotent re-validate + `get_gguf_spec` unknown raises + bool guards on backend/modality/quantization across every Part D validator). Test count: 154 (v0.53.0) |
+| test_v0570_part_a.py | v0.57.0 Part A `soup adapters diff` — `effective_rank` SVD entropy (identity / concentrated / empty / 1D / zero / bool-eps / non-finite eps); `compute_layer_diffs` (identical-zero / known-norm-5 / shape-mismatch-skipped / intersection-only / non-mapping / oversize cap); `render_report_json` + `render_report_markdown` (roundtrip / non-report TypeError / only-lists section); `LayerDiff` frozen via FrozenInstanceError; end-to-end `compute_adapter_diff` (safetensors fixture + outside-cwd reject + bool top_k + 1/201 boundary + missing safetensors + .bin rejection + POSIX symlink at weights file); CLI (table/json/markdown smoke + unknown --format + --output requires non-table + outside-cwd + atomic write); no-top-level-torch source-grep guard. Test count: 36 (v0.57.0 Part A) |
+| test_v0570_part_b.py | v0.57.0 Part B `soup adapters merge` — 4 strategies in pure numpy: `merge_linear` (average / weighted / intersection / shape-mismatch / single-rejected / 17-too-many / bool weight / negative / NaN / inf rejection / zero-sum / length-mismatch); `merge_ties` (density top-half / majority-sign election / **tied-sign-defaults-positive** review fix / density bounds / density=1.0 inclusive / bool-density); `merge_dare` (deterministic-by-seed / different-seeds-diverge / bool-seed / negative-seed / density=1 equals linear); `merge_svd` (no-rank equals linear / rank reduces / non-2d passthrough / rank clamp / invalid-rank); `merge_adapters` e2e linear + unknown-strategy + output-outside-cwd + **POSIX symlink-at-output-safetensors rejection**; `SUPPORTED_STRATEGIES` frozenset + `STRATEGY_ORDER` tuple invariants; `predict_merged_verdict` stub + non-report + canary_suite type; `MergeReport` FrozenInstanceError; CLI help / linear / unknown-strategy / invalid-weights / single-adapter rejection; no-top-level-torch source-grep. Test count: 43 (v0.57.0 Part B) |
+| test_v0570_part_c.py | v0.57.0 Part C `soup adapters blame` — `parse_budget` (60/60s/5m/2h / below-floor / above-cap / invalid-format / empty / bool / null-byte / non-string); `plan_blame` (happy / infeasible-budget / shard offsets / uneven split / empty dataset / outside-cwd-adapter / outside-cwd-dataset / invalid-layer / shard bounds / **bool=True AND False shards** / **bool budget_seconds**); `run_blame` stub raises NotImplementedError v0.57.1 + non-plan TypeError; `BlamePlan` + `BlameShardWork` FrozenInstanceError; CLI help + plan-only smoke + invalid-budget + live runner advisory exit-0. Test count: 33 (v0.57.0 Part C) |
+| test_v0570_part_d.py | v0.57.0 Part D `soup adapters branch/checkout/branches` — `create_branch` happy + with-dataset + invalid-name + null-byte name + bool name + config-outside-cwd + missing-config + empty-base-model + null-byte base + **bool base_model rejected** + oversize 1MiB config + atomic write; `list_branches` empty + sorted; `load_branch` roundtrip + missing + invalid-name + **POSIX symlink rejection**; `delete_branch` true-when-present + false-missing + **POSIX symlink rejection** + traversal rejection; `write_checkout` writes target + drift detection + outside-cwd reject + non-branch + missing source; `Branch` FrozenInstanceError; SOUP_BRANCHES_DIR env override (valid-honoured + null-byte falls-back via mocked os.environ.get + CRLF falls-back); CLI smoke create / list / checkout / invalid-name / missing-config / missing-branch / empty-list. Test count: 37 (v0.57.0 Part D, 4 POSIX-skipped on Windows) |
 | test_v0560.py | v0.56.0 `soup diagnose` post-training failure-mode report card — Part A 6 probes (forgetting Δ-accuracy + tolerance band; refusal advbench/xstest delta + `_MAX_REFUSAL_SCAN=8192` cap; format JSON/regex/tool_call with ReDoS probe + `_VALID_KINDS` frozenset; mode_collapse pairwise n-gram Jaccard over K completions; memorization training-prefix echo via `split_prefix`; contamination v0.47 ngram-overlap reuse + combined-complexity cap N×M>1e9); Part B `FailureReport` + `FailureScore` frozen dataclasses with OK/MINOR/MAJOR taxonomy (≥0.85/≥0.60 thresholds) + `compose_report` / `build_report` SDK + atomic `write_report` (realpath containment + symlink reject) + `render_badge_svg` HTML-escaped 6-cell SVG + CLI smoke (--evidence/--output/--badge/--attach-to-registry); Part C `diagnose_report` artifact kind + `soup train --diagnose-gate` MAJOR-rejection helper. Review-fix coverage: atomic+TOCTOU-safe badge write, typer.Exit (not sys.exit), 16 MiB evidence size cap, `extract_row_text` centralisation, `tokenize` delegates to `_eval_text`, extras null-byte sanitisation, source-grep regression guards. Test count: 123 (v0.56.0) |
 | test_v0540.py | v0.54.0 `soup advise` pre-flight decision — Part A Verdict engine (TASK_CATEGORIES + CHOICES allowlists; frozen Verdict / DatasetProfile / ROIEstimate; `classify_task` keyword + tool_calls + reasoning-trace signals + goal-steers; `compute_dataset_profile` shape + diversity + chosen/rejected + reasoning detection; `build_verdict` 5-branch rubric with `_MIN_ROWS_FOR_GRPO=500`; `load_advise_dataset` cwd-containment + symlink reject + BOM strip + malformed-JSON reject); Part B Probe runner (`synth_probe_baselines` + `synth_probe_lora_delta` heuristic stubs with forward-compat `model`/`device`/`lr`/`timeout_seconds` kwargs; `format_verdict_rubric` + `next_command_for` handoff); Part C Cross-project learning (`record_verdict` + `load_history` + `_append_with_lock` cross-process fcntl/msvcrt locking; `~/.soup/advise_history.jsonl` + sidecar `.lock` on Windows; `history_path` env override containment; per-line 64 KB cap on history reads); CLI smoke (run / explain / compare subcommands + `_rewrite_advise_argv` scoped to argv[1]); review-fix coverage (atomic scratch write + symlink reject on read; concurrent 8-thread record stress; 49↔50 / 499↔500 / 4096↔4097 boundary). Test count: 136 (v0.54.0) |
 | test_v0510.py | v0.51.0 Model Catalog Expansion + Alternative Model Hubs: Part E hubs.py (`SUPPORTED_HUBS` + `validate_hub_name` + `validate_hub_endpoint` SSRF parity / CRLF rejection / IPv6 mapped private rejected / IPv6 loopback ok / control chars; `resolve_endpoint` env-var override; `default_endpoint` + `endpoint_env_var` + `required_hub_package` + `is_hf` with bool guards; MappingProxyType immutability); TrainingConfig `hub` field (default + Literal accept + None reject + case-insensitive normalisation + YAML round-trip) + SoupConfig `_validate_hub_supported` (mlx + non-hf rejected; mlx + hf accepted; modelers + transformers accepted); Part D MULTIPACK_ARCHITECTURES extension (20 new arches parametrize + legacy preserved + exact count=38 + frozenset immutability); Parts A/B/C 26 new recipes (parametrize over every name × {get_recipe / RecipeMeta / SoupConfig load / yaml.safe_load / model id no null/whitespace/empty parts / max_length bounds / GRPO required fields}); baichuan-sft uses `hub: modelscope`; total recipe count >= 105 (v0.51.0) |