feat: cross-language Q&A (Operation Sandwich) + Windows quickstart — all default-OFF

Three workstreams, full suite 2482 passed, experimental paths default-OFF.

#000055 — Windows quickstart without make
  tasks.py (pure-stdlib runner) + make.bat shim + .gitattributes;
  README Windows section rewritten. Quickstart needs only Python
  3.10+ (no make/bzip2/curl/bash). Mirrors the Makefile quickstart
  subset; drift-pinned by tests/test_tasks_runner.py.

#000001 §7 Phase 0 — deterministic cross-language guard
  arborist/qa/crosslang.py: non-English signal (¿/¡/non-ASCII) + an
  es function-word stoppack. Fail-closed to UNGROUNDED before
  retrieval/LLM (mirrors the quantifier reject-DAG) when no content
  token survives, else strips es stopwords from the retrieval query
  only. English path byte-identical by construction. Default OFF
  (crosslang_guard_enabled). Measured: the anarcocapitalismo field
  case 10.4s -> 1.6s.

#000056 — Operation Sandwich (cross-language grounding)
  arborist/qa/mt/: opus-mt es/fr/ru<->en, lazy per-pair memoised
  singleton (fixes the 88%-engine-error concurrency defect),
  manifest-pinned, [mt] extra; entity_mask wrapper. Sandwich =
  translate query in (retrieval + LLM prompt) -> English answer ->
  UNTOUCHED verifier grounds English-vs-English -> translate the
  verified answer out as display-only (banner-labelled, zero
  grounding). question_hash + verifier_policy_hash invariant; MT
  engine identity binds into RetrievalPlan, not governance. CLI
  --crosslang-translate / make XLANG_MT=1. Default OFF; entity_mask
  default OFF (measured net-negative at bench scale). Fan-out bench
  (bench/*.py): Spanish ~0% -> 71% grounded vs the real no-support
  baseline; the round-trip predictor was tried and refuted; the
  entity-mask lever failed at scale (corpus-title anchoring untried).

CLAUDE.md: cross-language bright-line convention + module map.
Pre-existing modified diagram files are intentionally excluded.
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@ -111,6 +111,8 @@ Newest first. Update on every open/close.
| ID | Title | Status | Opened | Directive |
|----------|------------------------------------------------|-----------------------|------------|-----------|
| #000056 | Operation Sandwich — cross-language grounding via query+display MT | **implemented & landed 2026-05-17 · default-OFF** (fox: "call it operation sandwich, create a new ticket and finish it"). Mechanism + bright line **verified live end-to-end** (real Hermes + real opus-mt: es query → English answer+verifier → es display; `answer_text` English, `display_answer` Spanish additive, `question_hash`/`verifier_policy_hash` invariant; 6 tests + full suite 2477 passed, 0 regressions). **Fan-out measured (§9, n=1, 75 q):** EN baseline 85% → es+sandwich 71% = **14pp cost**; transitions PRESERVED 31 / DOWNGRADE 16 / LOST 17 / N/A 11. A deterministic round-trip predictor was tried and **refuted** (12/17 LOST round-tripped CLEAN; another instance of the codified CLAUDE.md bench-maxing lesson — not re-added). LOST taxonomy from the artifact: ≈7 entity-translate (`Boltzmann`→"perntzmann", `Tarsus`→"Tarso"), ≈3 broad-enum, ≈several n=1 noise. **Lever built+validated:** `arborist/qa/mt/entity_mask.py` mask/restore (real opus-mt: `who is Paul of Tarsus?` "Pablo de Tarso"→**"Paul of Tarsus"**); default-ON within the default-OFF sandwich. Caveat: bench is lowercased so cap-detector lift is a **lower bound** (corpus-title anchor = v2). Also: fan-out caught + fixed an 88%-engine-error concurrency defect (per-call model load → memoised singleton + lazy per-pair); French + Russian breads added (manifest, `crosslang_source_lang`). **Lift measured 2026-05-17 (comparator corrected, fox):** the true baseline is the pre-ticket ≈0% (raw es query → song-title noise, UNGROUNDED, 10.4s) — NOT native English. Against that: **the sandwich is a large net win (≈0% → 71% es grounded, proof core never corrupted); the 14pp vs English is the cost of a new capability, not a regression — calling it a "fail" was a comparator error.** The genuine negative is the **entity-mask lever**: net-negative at scale (es 71→65, fr+mask 47/38pp; isolated Paul-of-Tarsus win didn't replicate — 3rd bench-maxing-lesson instance), now **default-OFF** (`crosslang_entity_mask=False`); no-mask sandwich is the keeper. Recommendation flipped: **worth continuing (minus the mask)**, not park. Remaining: n=3, fr no-mask, corpus-title anchoring (only untried lowercase-capable detector). CLAUDE.md updated with the durable cross-lang *convention* only. Tasks #14#17. Phase 1 of the #000001 §7 family; new ticket clears don't-proliferate (fox-directed + distinct Dav1d audience + architectural inflection: a model dependency `[mt]` + a presentation-translation layer — anticipated by #000001 §7's "split the `[mt]` model-distribution work like `[nli]`/vecpack"). **Sandwich:** translate query es→en (retrieval-side, == `--retrieval-keywords`, binds into `retrieval_plan_hash`, NOT `question_hash`) → English answer through the **byte-for-byte untouched verifier** → translate the verified English `answer_text` en→es into a NEW `display_answer` field, banner-labelled, zero grounding (the `_render_audit_label` render-projection pattern). Engine: local `[mt]` extra, Helsinki-NLP `opus-mt-es-en`/`-en-es`, Apache-2.0, hash-pinned, off-repo `~/.arborist/models/mt/`, optional dep, graceful-degrade — mirrors `[nli]`/`ShadowNLI` (#000049) + vecpack (#000051) verbatim; never Hermes-3-8B; not an external API (reproducibility + zero egress + es↔en is the best-resourced pair). Default OFF (`crosslang_translate_enabled`, gated under Phase-0 `crosslang_guard_enabled`); `--crosslang-translate` / `XLANG_MT=1`. Hash invariants (corrected 2026-05-17 — `governance_policy_hash` is sha256 of the *whole* policy, keys.py:182): `question_hash` + `verifier_policy_hash` untouched (user question preserved, verifier byte-identical); `governance_policy_hash` moves like every policy flag → correct cache partitioning by config (not a leak); MT engine identity binds into `RetrievalPlan.mt_*` (run-DAG), not a policy hash. | 2026-05-17 | — |
| #000055 | Windows quickstart without `make` (`tasks.py` + `make.bat`) | **in progress** — opened 2026-05-16 (fox: "bat files or some shit … avoid needing makefile for windows … we will test the quickstart on windows"). Pure-stdlib `tasks.py` runner mirroring the **quickstart subset** of the Makefile (bootstrap / fetch-cur / ingest-cur-attached / distill ×2 / query / inspect / falsify / burn / bootstrap-crawler / crawl-ingest / stats / verify / search / clean) + a ~10-line `make.bat` shim so `make <target>` works in Windows cmd and `.\make.bat <target>` in PowerShell. Audited the artifact (not the docs): the 2003 dump is opened via stdlib `bz2` (no external `bzip2`); only `fetch-cur` used `curl` (→ stdlib `urllib`); bash `for…&wait``subprocess.Popen` fan-out; `arborist` console-script lands at `.venv\Scripts\arborist.exe`. Net: quickstart needs only **Python 3.10+ + sqlite3** — the repo's existing ethos, now true on native Windows. Same `KEY=VALUE` make-style args so documented commands translate 1:1 (one doc form). Makefile untouched, still canonical on POSIX ("keep it as an option"). Found + fixed a README/Makefile discrepancy: README claimed `[dev,html]` bootstrap extras, Makefile installs `.[dev]` — artifact wins. Drift-pinned by `tests/test_tasks_runner.py`. | 2026-05-16 | — |
| #000054 | Acronym-parens concept extractor (closes the abbreviation→expansion retrieval gap) | **in progress** — Phase 1 (extractor + 481K edges) landed `58027e9`; Phase 2 (consumer-side surfacing — `synonym_expand` rank-and-truncate over the per-token cap, FTS5-`bm25` ordering in `_search_titles`, expanded `accept_tokens` in title-search + core-keyword + title-rerank, `synonym_expand_strict()` for the multiplicative title-purity rerank to exclude noisy `link_reciprocity` edges, tightened extractor regex to `[A-Z]{3,6}` purging 2-letter homonym edges) landed `ce855db`. **End-to-end verified:** `what is a CPU?` → Central processing unit at #1; `what is a GPU?` → Graphics processing unit at #1 EVIDENCE-WARRANTED 1/1; Mount Kilimanjaro / Soviet Union queries unchanged. **bench-qa n=3 limit=5** (2026-05-13T14:24Z): 30/45 STRICT (67%), zero regressions on basics (mona lisa / capital of france / new london bridge each 9/9 STRICT). 2026-05-13 — `arborist/concepts/extract.py:acronym_parens_synonym` lands as a new corpus-agnostic extractor in `EXTRACTORS` (`evidence_kind="acronym_parens"`). Scans each doc's lead chunk for `<Multi-Word Phrase> (ACRO)` where the all-caps acronym's letters match the content-word initials of the phrase in order; emits bidirectional synonym edges between the lowercased acronym and each ≥3-char content token of the phrase. Conservative (strict 1:1 initials, function words filtered, repeated definitions deduped per doc). Closes the *retrieval-side* abbreviation gap (`CPU↔central processing unit`, `GPU↔graphics processing unit`, `RAM↔random access memory`, `FBI↔federal bureau of investigation`, `WHO↔world health organization`, …) that `link_reciprocity_synonym` can't reach because the relation lives in body text, not the wiki link graph (Wikipedia represents abbreviation→expansion as a *redirect* — not an edge). Per-shard like all `concept_relations` data; corpus-agnostic so HTML/blogs/textbooks benefit equally. Retrieval-side only — never proof-path. 8 new tests; full suite green. Closes #000050 §2a's CPU/GPU fixture rows *upstream* of vec; the Orwell-shape conceptual-allusion row remains the genuine #000050 justification. Operational follow-up (not code): `arborist concepts derive --extractor acronym_parens` on each shard. | 2026-05-13 | — |
| #000053 | Acronym-aware verifier content tokens | **closed · 2026-05-13**`arborist.qa.evidence._content_tokens` now keeps all-caps 2-3-char acronyms (CPU/GPU/DNA/FBI/USB…) as content tokens instead of dropping every <4-char token; fixes the field case where "what is a CPU?" cited to "CPU design" tripped `TITLE_MISMATCH` spuriously (claim & title share "CPU" but neither registered) also affects `SUBJECT_TOKENS_ABSENT` (Rule 9), `BARE_NAME_CLAIM`, spotlight-excerpt token pick. Versioned: `content_token_rules: "v2-acronym-aware"` in both default policies + `_VERIFIER_POLICY_FIELDS` folds into `verifier_policy_hash`, prior cache records orphan on lookup (by design, same discipline as `base_version` / `hyphen_fold_v1`). Monotone toward *fewer* spurious demotes (only relaxes overlap checks, never tightens). 8 new tests; full suite green; `bench-qa-smoke` clean. Does NOT fix the *retrieval* abbreviationexpansion gap (`CPU``Central processing unit` = #000050 vec hybrid / `concepts/` synonym edges the root cause of the satellite-article retrieval). | 2026-05-13 | |
| #000052 | Relevance + coherence meta-cognition (answer-*shape* signals) | in progress — **§3.1 `diagnose_coherence` landed** (lexical, no model: `circular` / `phrase_component_reuse` / `vacuous`; in `arborist/qa/inspect.py`, surfaced via `inspect_cache_key` + `arborist inspect` `· incoherent: <kind>`; 9 tests; demote-policy hook deliberately not wired — advisory only). Joins the `diagnose_deflection` / `diagnose_metaphor_deflection` / `diagnose_title_relevance` / soft-preflight family of read-only, demote-only, never-in-proof-path sidecars; `phrase_component_reuse` catches the motivating field case (a subject quoting a phrase, a predicate reusing one of that phrase's own tokens as a bare `the <token>` referent). **Still open: (2) `diagnose_relevance`** — semantic (not just lexical) "aboutness": does the answer address the question; is each claim about its cited source? Today's checks (subject-anchor token overlap, stemmed title-stem overlap) are *lexical* and a token collision defeats them — a small *aboutness/reranker* model (NOT NLI — entailment ≠ topicality) under #000049 §7's discipline cage verbatim (demotion-only, hash-pinned, `relevance_model_version``governance_policy_hash` iff it touches `audit_mode`, shadow-first, `[…]` extra, the §7 #20 haystack lesson — never over the whole context); gated on evidence, travels with #000049's model question. Motivating field case (2026-05-12, fox): the `claim_lattice` query that returned *"the phrase 'Zionist entity' is sometimes used as the entity, referring to the State of Israel"* at `EVIDENCE-WARRANTED-PARTIAL 2/3` — incoherent + token-collision recombination that NLI can't catch (returns *neutral*, not *contradiction*) and both lexical relevance checks waved through. Flags an upstream retrieval ticket (polysemy / title-token-soup) as the root-cause fix, not scoped here. #000049 sibling | 2026-05-12 | — |
@ -164,8 +166,8 @@ Newest first. Update on every open/close.
| #000004 | Directive coverage in bench summary | closed · `acd1f9c` | 2026-05-01 | D8 |
| #000003 | Anchor-class warrant generalization (Module H+)| closed · 2026-05-02 | 2026-05-01 | D6 |
| #000002 | Reference-Frame Polarity Contract (Module L) | closed · 2026-05-02 | 2026-05-01 | D3 |
| #000001 | Retrieval-keywords audit gap | closed · 2026-05-02 | 2026-05-01 | D4 |
| #000001 | Retrieval-keywords audit gap (+ §7 cross-language transforms) | **reopened 2026-05-17 (in progress)** — keyword scope stays closed/landed 2026-05-02 (run-DAG `RetrievalPlan` binding, §5). §7 extends the *same* retrieval-transform-provenance substrate to a sibling: cross-language query bridging. Strict bright line — MT/aliases/stopword-guards *propose* candidates, only source-language evidence *warrants*; English answer verified English-vs-English by the **untouched binary verifier**, Spanish is display-only (zero grounding, banner-labelled). Held strictly this needs **no new `audit_mode` token, no `EVIDENCE-WARRANTED-CANONICAL`, no `surface_language` field, no `providence_cache` column, no new run-DAG stage** (the >10%-back deletion; CLAUDE.md schema-column-unchanged + verifier-stays-binary). **Phase 0 landed 2026-05-17**`arborist/qa/crosslang.py` (deterministic, no model: `¿`/`¡`/non-ASCII signal, es-v1 stoppack); pre-preflight fail-closed mirroring `quantifier_should_reject` (Merkle-auditable reject DAG, `CROSS_LANGUAGE_UNSUPPORTED`, no LLM) + es-stoppack strip on `retrieval_query` only. Measured: `¿Qué es el anarcocapitalismo?` **10.4 s → 1.6 s** (~6.4×, still honest UNGROUNDED); English control byte-identical (by construction — `guard()` returns None for pure-ASCII). 19 tests; full suite 2470 passed, 0 regressions (incl. #000053/#000054); `bench-qa-smoke` stable anchor 3/3 STRICT. No schema change, no new governance/verifier *fields*, no `RetrievalPlan` change; `question_hash` + `verifier_policy_hash` untouched (the enabling flag moves `governance_policy_hash` like every policy flag — whole-policy hash, correct cache partition; corrected 2026-05-17, authoritative in #000056 §2 #6). `RetrievalPlan` MT extension landed in #000056 (Phase 1). **Feature-flagged default-OFF** (fox request): `policy["crosslang_guard_enabled"]` gates both seams via one point → flag-off reverts byte-for-byte to legacy (clean A/B); surface `arborist query --crosslang-guard` / `make query XLANG=1` / `tasks.py XLANG=1`. Default-flip is a separate bench-gated fox decision (rollout discipline matches #000008/#000011/#000049). 20 tests; full suite 2471 passed. **Collision constraint:** the guard is a specific source-language function-word stoppack, NOT a len≤2 heuristic — a blanket short-token drop regresses #000053/#000054 (`AI`/`ML`/`CPU`/`GPU` are load-bearing); `_FTS5_STOPWORDS`/`_TITLE_STOPWORDS` stay in sync; n=3 English bench, no >5pp regression. **Phase 1 split out → #000056 "Operation Sandwich"** (fox-directed; MT provider decided = local `[mt]` opus-mt, hash-pinned, not Hermes/not-API). Deleted by five-step (recorded in §7.6): raw-Spanish route (measured noise vs `en`), alias-map substrate (hand-curated worse-MT), cross-modal/multilingual-vec/SQD-language/ABCDEFG-5S (no named defect — the retired `arborist/v7/` anti-pattern). | 2026-05-01 | D4 |
## Next ID
`000055`
`000057`

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@ -1,15 +1,21 @@
# Ticket #000001 — Retrieval-keywords audit gap
**Status:** closed · landed 2026-05-02 (run-DAG binding scope; SQL
column + audit-events scope deferred per §6 below)
**Status:** reopened 2026-05-17 (in progress) — keyword scope stays
closed/landed 2026-05-02 (run-DAG binding, §5; SQL column + audit-events
deferred per §6). §7 extends the *same retrieval-transform-provenance
substrate* (`arborist/qa/retrieval_plan.py`) to a sibling transform:
cross-language query bridging. Doc-only; gated on the MT-provider
decision (§7.5).
**Opened:** 2026-05-01
**Closed:** 2026-05-02
**Scope:** Design proposal for capturing the `--retrieval-keywords` operator
hint in the v9.8 audit chain so retrieval is fully reproducible from a
providence record alone. Doc-only — no code in this commit.
**Closed:** 2026-05-02 (keyword scope) · **Reopened:** 2026-05-17 (§7)
**Scope:** Capturing retrieval-side transforms (operator keywords §1§6;
cross-language bridging §7) in the v9.8 audit chain so retrieval is
reproducible from a providence record alone. Doc-only.
**Audience:** fox + future blackops shifts.
**Hard constraint:** keywords stay operator-metadata, not part of the user's
question. Cache-key dimensionality stays at 8.
**Hard constraint:** retrieval transforms (keywords, MT, stopword
guards) stay operator/system metadata, never part of the user's
question. Cache-key dimensionality stays at 8. The verifier stays
binary; no new `audit_mode` token, no `providence_cache` column.
---
@ -288,6 +294,232 @@ in directly) stays in the original proposal as future work.
---
## 7. Phase X — Cross-language retrieval transforms (reopened 2026-05-17)
**Why here, not a new ticket.** MT-to-corpus-language and a
multilingual stopword guard are *retrieval transforms* — the same
family as `--retrieval-keywords`. §5 already shipped the substrate:
`RetrievalPlan` + `retrieval_plan_hash`, run-DAG-bound, outside
`question_hash`/`cache_key`. A cross-language transform is captured by
*extending the `RetrievalPlan` fields*, not by inventing a new
provenance mechanism. Per the don't-proliferate discipline this is
§000001 Phase X, not #0000XX. (The 2026-05-16 field case:
`¿Qué es el anarcocapitalismo?` over the en-2003 corpus burned 10.4 s
assembling title-collision noise — *Así Es El Amor*, *¿Quién es el
Jefe?* — then correctly returned UNGROUNDED. The fail-closed was
right; the 10.4 s waste and the missing recall bridge are the gap.)
### 7.1 Hard constraints (the bright line — strict form deletes a design layer)
```text
MT / aliases / stopword guards → may PROPOSE retrieval candidates
source-language evidence → the ONLY thing that WARRANTS
```
Valid: Spanish query → MT → **English** retrieval → **English** answer
**existing untouched binary verifier** (English-vs-English) →
existing label, unchanged. Spanish text, if rendered, is **display
only**, carries zero grounding, and is banner-labelled
"machine-translated, not verified" — the `_render_audit_label`
pattern (render projection ≠ proof).
Holding this strictly is the >10%-back deletion: there is **no new
`audit_mode` token, no `EVIDENCE-WARRANTED-CANONICAL`, no
`surface_language` proof field, no `providence_cache` column, no new
run-DAG stage.** CLAUDE.md: *schema column stays unchanged; verifier
stays binary; audit_mode decided by the verifier, never asserted.*
Forbidden (→ the #000049 model-in-proof-path cage, not here):
Spanish answer → translate-to-English → verify → call it grounded.
### 7.2 Collision constraint (must not regress shipped work)
A noise guard **must be a specific source-language function-word
stoppack** (es v1: `qué que es el la los las un una de del en y o a`),
**not** a length / "drop len≤2" heuristic. A blanket short-token drop
regresses #000053 (acronym-aware verifier content tokens) and #000054
(acronym_parens edges) — `AI`/`ML`/`CPU`/`GPU`/`DNA`/`FBI` are
load-bearing 23-char tokens. `_FTS5_STOPWORDS` and `_TITLE_STOPWORDS`
**stay in sync** (CLAUDE.md retrieval-pipeline §9). Bench-gated:
`make bench-qa` n=3, English suite, no >5pp STRICT-rate regression
before anything lands.
### 7.3 Phase 0 — grounded design (2026-05-17, real-code pass)
Mapping `arborist/qa/query.py` + `arborist/search/fts5.py` corrected
four points in the draft. The refinements make Phase 0 *smaller*:
1. **`_FTS5_TOKEN_RE = [A-Za-z][A-Za-z0-9]*` is ASCII-only.** `¿Qué`
tokenizes to `Qu`; accented words are truncated before the
stopword check. The es stoppack must therefore list ASCII-folded /
truncated forms: `qu que es el la los las un una de del en y o a`.
2. **The measured 9.9 s cost was the search, not context assembly**
(`search 9.91s` · `context 0.05s`). The cost was OR-mode FTS5
driven by the es function words `es`/`el` (high-DF, full-corpus
union scan). So Phase 0's primary lever is **stripping the es
stoppack from the retrieval token set**, not the fail-closed —
the field case (`anarcocapitalismo` survives the stoppack) is a
*content token that misses the corpus*, not a no-content query;
stripping `es`/`el` makes the search fast (single rare token, no
OR scan) → honest `UNGROUNDED` in ~ms instead of 10.4 s.
3. **The es stoppack must be language-scoped, never global.**
`un`→UN, `la`→LA, `de`→De, `en`→EN collide with the #000053/#000054
acronym/abbrev class. Gate it behind a deterministic
no-model **non-English signal**: the query contains inverted
punctuation (`¿`/`¡`) or a non-ASCII Latin letter. Pure-ASCII
English queries never trigger it → the English retrieval path is
**byte-identical by construction** (the bench is a no-op by proof,
not just by measurement).
4. **Phase 0 needs no `RetrievalPlan` change.** The explicit
fail-closed returns *before* `RetrievalPlan` is built (it reuses
the existing `build_reject_run_dag` 3-stage path, exactly like
`quantifier_should_reject`). The reason is recorded as a
`CROSS_LANGUAGE_UNSUPPORTED` violation in the reject run-DAG
(mirroring `BROAD_QUANTIFIER_REJECTED`). Extending `RetrievalPlan`
with `detected_language`/`dropped_tokens` is a **Phase 1**
concern (when MT retrieval actually runs and the plan is built).
**Phase 0 behaviour, final:** at `query()` entry, if the non-English
signal (refinement 3) fires: strip the es/multilingual stoppack from
the retrieval token set for this call only (refinement 1); if **zero**
content tokens remain, short-circuit to `UNGROUNDED` before retrieval
via the reject-DAG path (refinement 4); otherwise run retrieval on the
surviving content tokens (fast — refinement 2) and let the existing
pipeline return its honest verdict. Adds **no new governance/verifier
fields** and **no `RetrievalPlan` change**; `question_hash` and
`verifier_policy_hash` untouched; English path byte-identical.
(Correction 2026-05-17: an earlier draft said "no governance change"
unqualified — false. `governance_policy_hash` is sha256 of the
*whole* policy (`keys.py:182`), so toggling the `crosslang_guard_enabled`
flag moves it like every policy flag. That is correct cache
partitioning, not a leak. Authoritative statement: #000056 §2 #6.)
### 7.4 Phase 1 — MT-to-corpus-language as one soft route (gated)
MT-translated query == `--retrieval-keywords` with an MT front-end:
folds into `retrieval_plan_hash` exactly like keywords (the §2.4 /
§A.5 decision verbatim — **A+B, not C**; translated query is
retrieval metadata, **never** `question_hash`). Governance: the MT
*engine identity* binds into `RetrievalPlan` (run-DAG), not a policy
hash; the *enabling flag* moves `governance_policy_hash` like every
policy flag (whole-policy hash — correct cache partition). **This
§7.4 sketch is superseded by #000056 (Operation Sandwich), which is
the authoritative Phase-1 design + the corrected hash invariants
(§2 #6).** Raw `es` and raw `en`
questions keep distinct `question_hash` (no cross-language dedup).
### 7.5 The gate (fox decides — nothing in 7.4 lands until then)
MT provider. **Not Hermes-3-8B** (blackops standing rule: 8B unfit
for human-language translation; cannibalizes coder-agent budget).
Fork: **Grok API** (flagged candidate; soft-route only;
provider/version/prompt into `governance_policy_hash`) **vs** a local
**`[mt]` extra** (NLLB/Marian, hash-pinned like `[nli]`, weights
off-repo under `~/.arborist/models/mt/<hash>`). Phase 1 stays
doc-only until chosen.
### 7.6 Deleted by the five-step (named, with the reason)
- **Raw-Spanish retrieval route** — measured pure noise vs an `en`
corpus (the song-title case). Revisit *only* when a Spanish/mixed
shard exists; not a v1 route.
- **Deterministic alias-map substrate** — a hand-curated, worse MT
with no named maintainer; strictly dominated by a Spanish corpus
or the MT route. Cut.
- **New labels / `EVIDENCE-WARRANTED-CANONICAL` / `surface_language`
proof field / two-level proof identity** — label + schema
proliferation the strict §7.1 line makes unnecessary.
- **Cross-modal carriers, multilingual vec, SQD language
canonicalizers, a new `language_bridge` run-DAG stage, 5S/ABCDEFG
suites** — no named person, no closed defect (five-step step 1).
Namespace-reservation now = the retired `arborist/v7/` anti-pattern.
### 7.7 Acceptance criteria (Phase 0 testable now; Phase 1 post-gate)
1a. Cross-language query whose tokens are **all** function words →
`UNGROUNDED` **before** retrieval/LLM via the reject-DAG path;
`CROSS_LANGUAGE_UNSUPPORTED` violation recorded.
1b. Cross-language query with a surviving (corpus-missing) content
token (the `anarcocapitalismo` field case) → es function words
stripped from the retrieval set → **no OR-mode full-corpus
scan** (search ≪ the measured 9.9 s) → honest `UNGROUNDED`.
2. Source-language function words do not drive FTS5 into
title-collision noise.
3. `make bench-qa` n=3 English suite: **no >5pp STRICT-rate
regression** (the #000053/#000054 guard).
4. MT route (when enabled) folds into `retrieval_plan_hash`, **not**
`question_hash`.
5. `governance_policy_hash` changes **iff** MT enabled AND cacheable;
unchanged otherwise.
6. **No** new `audit_mode` token; **no** `providence_cache` column;
verifier byte-identical.
7. Raw `es` and raw `en` of the same question keep distinct
`question_hash`.
### 7.8 Status
**Phase 0 landed 2026-05-17.** New module `arborist/qa/crosslang.py`
(deterministic, no model: `guard()` + `strip_for_retrieval()`,
es-v1 stoppack, non-English signal = `¿`/`¡`/non-ASCII letter).
Two seams in `arborist/qa/query.py`: a pre-preflight fail-closed
early-return mirroring `quantifier_should_reject` (reuses
`build_reject_run_dag` → 3-stage Merkle-auditable reject DAG,
`CROSS_LANGUAGE_UNSUPPORTED` violation, `status=
cross_language_unsupported`, no LLM), and an es-stoppack strip on
`retrieval_query` only (LLM / verifier / `question_hash` untouched).
No schema change, no new governance/verifier *fields*, no
`RetrievalPlan` change; `question_hash` + `verifier_policy_hash`
untouched. (The enabling flag moves `governance_policy_hash` like
every policy flag — whole-policy hash, correct cache partition; see
#000056 §2 #6 for the authoritative corrected statement.)
Measured (live, `query-dry`): `¿Qué es el anarcocapitalismo?`
**10.4 s → 1.6 s** (search 9.91 s → 1.26 s, ~6.4×), still honest
UNGROUNDED; `¿Qué es el?``cross_language_unsupported` pre-retrieval;
English control (`What is anarcho-capitalism?`) byte-identical
(Anarcho-capitalism #1, unchanged). 19 new tests in
`tests/test_crosslang_guard.py`; full suite 2470 passed, 0
regressions (incl. query/dag/claim_lattice/#000053/#000054);
`bench-qa-smoke` stable anchor (`mona lisa`) 3/3 STRICT. English
inertness is **by construction** (the signal regex cannot match a
pure-ASCII no-`¿`/`¡` query → `guard()` returns None → identical
path), so the bench is a proof, not just a measurement.
**Feature-flagged (fox request, 2026-05-17): default OFF.**
`policy["crosslang_guard_enabled"]` (default `False`) gates BOTH
seams via a single point — flag off → `_xlang` is None → behaviour
reverts byte-for-byte to pre-§7, a clean A/B baseline. Surface:
`arborist query --crosslang-guard`, `make query XLANG=1`,
`tasks.py query XLANG=1`. Rollout discipline matches #000008
(quantifier) / #000011 (soft-preflight) / #000049 (NLI): ships
default-OFF; the default-flip is a separate **bench-gated fox
decision**, not autonomous — even though Phase 0 is provably inert
on English and strictly improves the cross-language case (the
argument *for* a future flip, deferred to fox). Retrieval-side
only: the flag does NOT enter `question_hash` or
`verifier_policy_hash` (user question preserved, verifier
byte-identical). It DOES move `governance_policy_hash` like every
policy flag (whole-policy hash, `keys.py:182`) — correct cache
partitioning by guard state, not a leak; the fail-closed path writes
no cache row anyway. (Correction 2026-05-17; authoritative: #000056
§2 #6.) Live
A/B verified: `¿Qué es el?` flag-OFF → legacy UNGROUNDED;
flag-ON → `cross_language_unsupported` pre-retrieval. +1 test
(`test_flag_off_reverts_to_legacy_behaviour`); 20 tests total;
full suite 2471 passed.
**Phase 1 split out → #000056 "Operation Sandwich" (fox-directed
2026-05-17).** MT-provider decided: local `[mt]` extra,
`opus-mt-es-en`/`-en-es`, hash-pinned (not Hermes, not an API). The
query+display MT sandwich, the `RetrievalPlan` MT-field extension
(the §7.3-deferred item), and the `[mt]` model dependency all live
in #000056 — split per the don't-proliferate "distinct Dav1d
audience / architectural inflection" criterion (a model dependency +
a presentation layer), exactly the split this section anticipated.
#000001 §7 stays the Phase-0 home.
---
## Appendix A — Architectural review (2026-05-01, Asia/Kuala_Lumpur)
> Fox-supplied review expanding §2-§4 with axiomatic framing,

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# Ticket #000055 — Windows quickstart without `make` (`tasks.py` + `make.bat`)
**Status:** in progress — opened 2026-05-16, implementation in same commit.
**Opened:** 2026-05-16
**Asked by:** fox ("we need bat files or some shit so we could avoid
needing makefile for windows (but keep it as an option) windows uses
py py3 for python3 etc we will test the quickstart on windows so fix
it up").
**Scope:** One new pure-stdlib runner `tasks.py` at repo root + one
small `make.bat` Windows shim + README Windows/Quickstart rewrite +
one smoke/drift test. **No** change to `arborist/`, the schema, the
Makefile recipes, or any audit/proof path. The Makefile stays the
canonical Unix entry point and is left byte-for-byte unchanged ("keep
it as an option").
**Audience:** fox + anyone running the quickstart on native Windows +
maintainers who touch the quickstart and must keep two thin entry
points in sync.
---
## 1. The gap, from the field
`README.md` Setup §Windows currently says native Windows is *not*
supported — WSL2 only — because the Makefile uses bash idioms
(`for i in $(seq …); do … & done; wait`, `sed`, backgrounding) and
GNU-make conditionals, and the docs assume `make`, `curl`, `bzip2`.
fox wants the **quickstart** runnable on native Windows (cmd /
PowerShell), no `make`, no WSL. Windows ships the `py` launcher
(`py -3`), not `python3`.
## 2. What actually blocks Windows (and what does not)
Audited the quickstart targets against the artifact, not the docs:
- **Decompression:** the 2003 dump is opened with Python's stdlib
`bz2` (`arborist/sources/wikipedia.py:288`). **No external `bzip2`
needed** — the README's "needs … `bzip2`" line is stale for the
quickstart path.
- **Download:** the only `curl` use in the quickstart is `fetch-cur`.
Replaceable with stdlib `urllib.request` → no `curl` dependency.
- **Sharding/distill loops:** bash `for … & wait`. Replaceable with
`subprocess.Popen` fan-out + wait.
- **CLI:** `arborist` is a console script (`arborist.cli:main`,
`pyproject.toml:120`). On a Windows venv it lands at
`.venv\Scripts\arborist.exe`; on POSIX `.venv/bin/arborist`.
- **Net:** after this, the quickstart needs only **Python 3.10+ and
sqlite3** (sqlite3 ships with CPython) — exactly the repo's
"fresh checkout needs only python3.12 + venv + sqlite3" ethos.
No `make`, no `bzip2`, no `curl`, no `bash`.
## 3. Design — why one runner, not N `.bat` files
Five-step algorithm, step 2 (delete the part): hand-porting ~20 bash
recipes into brittle per-target `.bat` scripts would (a) duplicate
logic 1:1 with the Makefile in a second fragile dialect, (b)
proliferate files, (c) drift fast (DRY-in-context). Instead:
- **`tasks.py`** — one pure-stdlib runner implementing the quickstart
*subset only*. Cross-platform (also runs on POSIX as
`python3 tasks.py …`, but the Makefile remains the documented Unix
path). Detects venv layout (`Scripts` vs `bin`) and the Python
launcher (`py -3` on Windows, `python3` on POSIX; `ARBORIST_PYTHON`
overrides). Accepts the **same `KEY=VALUE` token style as `make`**
(`query Q="…" JSON=1`, `inspect KEY=… JSON=1`, `crawl-ingest
URL=… DEPTH=2`) so the documented commands translate 1:1 — one doc
form, both platforms.
- **`make.bat`** — a ~10-line dispatcher so `make <target>` keeps
working in Windows `cmd` (cmd searches the current dir for
`make.bat`) and `.\make.bat <target>` in PowerShell. It only
resolves a Python (`py -3`, fallback `python`) and forwards argv to
`tasks.py`. No logic in the `.bat`.
This keeps the Windows surface to **two files, one of them Python**,
mirrors the existing "Makefile is build glue, logic is Python"
precedent, and gives Windows the exact `make`-style UX.
`tasks.py` is the quickstart subset, not the full 1170-line Makefile.
Bench/π*/textbook/docs targets stay Makefile-only (Unix/WSL2). The
runner's `help` enumerates exactly the supported targets so the
boundary is self-documenting.
## 4. Targets covered
`bootstrap fetch-cur ingest-cur-attached distill-shards-parallel
distill-shards-tfidf-parallel query query-dry inspect falsify burn
burn-kindergarten bootstrap-crawler crawl-ingest recrawl-check stats
stats-shards verify search test help clean clean-db clean-data` —
the full README Quickstart (Wikipedia + crawl paths), "After the
answer", and Setup blocks.
## 5. Discrepancy found (reported to fox)
`README.md` Setup §Bootstrap claims bootstrap installs the
`[dev,html]` extras; `Makefile:52` installs `.[dev]` only. Artifact
wins (CLAUDE.md "artifact over instruction"): `tasks.py bootstrap`
installs `.[dev]` to match the Makefile. README corrected in the same
commit.
## 6. Drift control
`tests/test_tasks_runner.py`: importable on the host platform;
`help` lists exactly the documented quickstart targets (a removed or
renamed target fails the test); venv-layout + launcher detection
verified for both `os.name == "nt"` and `"posix"` via monkeypatch.
Two thin entry points are a known DRY cost — the test pins the target
set so divergence from the documented quickstart is loud.
## 7. Out of scope
Full Makefile parity on Windows; bench/π*/NLI/textbook/docs targets;
changing the Unix workflow (Makefile untouched, still canonical on
POSIX).

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# Ticket #000056 — Operation Sandwich (cross-language grounding via query+display MT)
**Status:** implemented & landed 2026-05-17 — mechanism + bright
line verified live end-to-end (§8); 6 tests + full suite 2477
passed. **Default OFF** (`crosslang_translate_enabled`, gated under
Phase-0 `crosslang_guard_enabled`). NOT "cross-language solved":
the live flagship run is still `UNGROUNDED` (opus-mt
output↔title-normalisation recall gap, §8 limit 1) — recall tuning +
JSON-display polish (§8 limit 2) + SHA-pinning the manifest are open
follow-ups behind the experiment flag; a bench-gated default-flip is
a fox decision. Phase 1 of the #000001 §7 family.
**Opened:** 2026-05-17
**Asked by:** fox ("yes call it operation sandwich create a new
ticket and finish it") — closing the chain that started with the
2026-05-16 `¿Qué es el anarcocapitalismo?` field case.
**Why a new ticket (clears the don't-proliferate bar).** CLAUDE.md
default is *extend*, split only when the piece needs a **distinct
Dav1d-reviewable audience** or is an **architectural inflection**.
Operation Sandwich is both: it introduces a **model dependency**
(`[mt]`) and a **presentation-translation layer** — a self-contained
design decision a de-novo review must read independently of #000001's
retrieval-keywords provenance story. #000001 §7 explicitly anticipated
this split ("If the MT model choice becomes large, split the
model-distribution work into a later `[mt]` ticket, similar to
`[nli]` and vecpack"). #000001 §7 stays the Phase-0 home; this is
Phase 1. Cross-linked both ways.
**Audience:** fox + a Dav1d de-novo review of the
translation-in-the-pipeline boundary + maintainers of the verifier
proof path.
---
## 1. The sandwich
```
Spanish query ─▶ [MT es→en] ─▶ English retrieval + English answer + EXISTING verifier ─▶ [MT en→es] ─▶ Spanish display
translator IN ←—— grounded core, byte-for-byte untouched ——→ translator OUT
(retrieval-side) (English-vs-English — the proof) (presentation-only)
```
Translation lives on the **two edges**, never the middle. The
verifier, `audit_mode`, `cache_key`, `question_hash`,
`governance_policy_hash` all see only the English core. The Spanish
the user reads is a labelled rendering carrying **zero** grounding.
## 2. Hard constraints (the bright line, as code invariants)
1. **`answer_text` stays the grounded English string.** The verifier
runs English-answer-vs-English-source, unchanged byte-for-byte.
2. **The Spanish rendering goes in a NEW field** (`display_answer`,
`display_lang`, `display_translated=True`,
`display_unverified_banner`). It is never the verifier's input,
never what `audit_mode`/STRICT attaches to, never hashed into the
proof. Same discipline as `cli._render_audit_label` (render
projection ≠ proof).
3. **Query MT is retrieval-side, == `--retrieval-keywords`.** It
changes which sources rank (→ `context_root``cache_key`
indirectly, exactly the #000001 §5/§6 story), **not**
`question_hash`. The MT engine identity binds into the **run-DAG
retrieval stage** via the existing `retrieval_plan_hash` (the
§7.3-deferred `RetrievalPlan` extension lands here).
4. **No translated answer ever re-enters the verifier** (the
forbidden path / #000049 model-in-proof-path cage). Display MT is
output-only and one-directional.
5. **Default OFF**, gated under `crosslang_guard_enabled`. The MT
engine is the optional `[mt]` extra; absent → degrade to
`available=False` → the sandwich silently no-ops (query proceeds
as Phase-0). English path byte-identical by construction.
6. **Hash invariants (corrected 2026-05-17 — artifact over my own
prose).** `governance_policy_hash` is `sha256` of the *whole*
policy dict (`arborist/qa/keys.py:182`), so — like **every**
policy flag (quantifier, metacognition, soft-preflight) — the
crosslang flags DO move it. An earlier draft of this section
wrongly said "governance untouched"; that was false and is
corrected here. The behaviour is *correct*: a sandwich-on answer
must not be served to a sandwich-off lookup — the cache partitions
by config, it does not leak. The load-bearing invariants are the
two that ARE untouched: **`question_hash`** (the user's Spanish
question is preserved verbatim — MT never rewrites what was asked)
and **`verifier_policy_hash`** (the verifier is byte-identical;
the crosslang flags are absent from `_VERIFIER_POLICY_FIELDS`).
The MT *engine identity* binds into the run-DAG retrieval plan
(`RetrievalPlan.mt_*`), which is not a policy hash. Test:
`test_sandwich_hash_invariants`.
## 3. Engine — local `[mt]` extra (fox-decided 2026-05-17)
`opus-mt-es-en` (query in) + `opus-mt-en-es` (display out),
Helsinki-NLP, Apache-2.0, hash-pinned by HF revision, weights
off-repo under `~/.arborist/models/mt/`, optional dependency. **Not
Hermes-3-8B** (blackops rule: 8B unfit for human-language
translation). **Not an external API**: reproducibility (a pinned
checkpoint replays byte-identically — provenance-critical for a
Merkle-replay system) + zero egress (Operation Voyeur / sovereignty)
+ es↔en is the best-resourced MT pair so the local-vs-frontier
quality gap is smallest exactly here. Grok stays the documented
future bench-comparison candidate (blackops: "evaluate before
committing spend"), not the v1 substrate. Mirrors the `[nli]` /
`ShadowNLI` pattern (#000049) and the vecpack off-box pattern
(#000051) exactly — zero new architectural surface.
## 4. Build
- `arborist/qa/mt/``manifest.json` (pinned es-en + en-es repos +
revisions), `Translator` protocol, `OpusMTTranslator` (lazy
`transformers` import, `available` flag, graceful degrade — the
`ShadowNLI` template verbatim), `StubTranslator` (deterministic;
the test substrate **and** the safe fallback when the extra is
absent — identity passthrough, so the sandwich degrades to Phase-0
behaviour, never raises).
- `[mt]` extra in `pyproject.toml`.
- `arborist/qa/query.py` — under
`crosslang_guard_enabled AND crosslang_translate_enabled` AND the
Phase-0 non-English signal fired AND translator `available`:
es→en the query → `retrieval_query` **and** the LLM prompt
(`llm_question`, so the model answers in English; `question_hash`
still uses the original Spanish); after the verified English
result, en→es the model **prose** (`raw_answer`, never the rendered
evidence scaffold — pinned verbatim English spans must not be
MT-ed) → `display_answer` (+ banner). Extend
`RetrievalPlan` with `mt_engine` / `mt_manifest_hash` /
`source_lang` (omitted-when-empty so existing `retrieval_plan_hash`
values do not churn — the §5 zero-churn discipline).
- CLI `--crosslang-translate`; `make query XLANG_MT=1`;
`tasks.py query XLANG_MT=1`.
## 5. Acceptance criteria
1. Sandwich path (StubTranslator): es query → en `retrieval_query`
(asserted), English `answer_text` verified by the **unmodified**
verifier, `display_answer` is the es rendering, banner present.
2. `question_hash` and `verifier_policy_hash` **identical** with the
flag on vs off (the load-bearing invariant: user-question identity
preserved, verifier byte-identical). `governance_policy_hash`
**differs** (whole-policy hash — like every policy flag; correct
cache partitioning, not a leak). Test:
`test_sandwich_hash_invariants`.
3. `RetrievalPlan` MT fields bind into `run_dag` (different engine →
different `retrieval_plan_hash`); empty MT fields → **unchanged**
hash (no churn on non-MT runs).
4. The translated Spanish text is **never** the verifier's input —
`answer_text` (English) is finalised and verified before display
MT runs; the rendered evidence scaffold (pinned verbatim English
spans) is never fed to MT (display translates `raw_answer` prose).
5. Default OFF: `crosslang_translate_enabled=False` → no `display_*`,
pure Phase-0 behaviour. English query → byte-identical (signal
None → translator never consulted).
6. `[mt]` absent → `OpusMTTranslator.available is False` → sandwich
no-ops to Phase-0, never raises (graceful-degrade test).
7. The translated answer is **never** passed to `verify_*`
(asserted structurally — the verifier input is `answer_text`,
set before display MT runs).
## 6. Out of scope
Languages beyond es-v1; the Grok bench-comparison; an
`audit_mode`-affecting strict mode that folds MT into
`governance_policy_hash` (the #000001 §6 optional-strict analogue);
auto language *detection* beyond the Phase-0 deterministic signal
(accent-free Spanish still slips — a detector is future work).
## 7. Status
Implementation landed 2026-05-17 — see §8.
## 8. Landing — what works, and the honest limits
**Mechanism: complete and verified live end-to-end.** A real run
(`arborist query --crosslang-translate --json "¿Qué es el
anarcocapitalismo?"` against live Hermes + the real `opus-mt`
engine, which loads in this env via the `[nli]`-shared
`transformers`/`torch`):
- query translated es→en, LLM prompted in English, **`answer_text`
is the English answer** ("Anarchocapitalism is a political
philosophy and economic theory that advocates the elimination of
the state…"); the verifier ran on that English core;
- `display_answer` is the opus-mt es rendering of the verified English
prose ("El anarcocapitalismo es una filosofía política y una teoría
económica que aboga por la eliminación del Estado…"),
`display_translated=True`, `display_lang=es`, `engine=opus-mt-v1`,
banner present;
- the bright line held: the Spanish text is additive/display-only;
`question_hash` + `verifier_policy_hash` invariant (test
`test_sandwich_hash_invariants`); `RetrievalPlan` MT binding is
zero-churn on non-MT runs (`test_retrieval_plan_mt_fields_*`).
- 6 sandwich tests + full suite **2477 passed**, 0 regressions;
`make`/`tasks.py`/CLI surface (`--crosslang-translate` /
`XLANG_MT=1`) wired; default OFF.
**Two honest limitations the live run exposed (NOT solved here):**
1. **Recall is not yet good.** `opus-mt-es-en` rendered
`anarcocapitalismo` → "Anarchocapitalism" (one token, no hyphen),
which still did **not** rank the canonical *Anarcho-capitalism*
article primary — the live run was `UNGROUNDED` with off-target
sources (*Consensus decision-making*, *Karl Hess*, …). The
architecture is correct; the MT-output↔title normalization /
retrieval interaction needs tuning. This is exactly the experiment
the **default-OFF flag + bench gate** exist for, and why the
manifest revisions are placeholder (`main`, not SHA-pinned). "The
sandwich works" means the *mechanism*; it does **not** mean
cross-language grounding is solved.
2. **JSON/lattice display is rough.** In `claim_lattice` (JSON) mode
`raw_answer` is JSON, so display-MT translates the envelope
(`"declaraciones"`). Prose/quote mode renders clean. JSON-mode
display polish (translate field *values* only, or render from the
parsed claim list) is future work — banner-labelled and default-OFF,
so acceptable as an experimental edge.
**Doc honesty correction (2026-05-17).** Earlier drafts of §2 #6 /
#000001 §7 said "governance untouched" — false: `governance_policy_hash`
is sha256 of the *whole* policy (`keys.py:182`), so the crosslang
flags move it like every policy flag (correct cache partitioning).
Corrected in §2 #6 (authoritative), #000001 §7, and both index rows;
artifact-over-instruction.
## 9. Fan-out benchmark (2026-05-17) — measured, with the dead ends named
**Repro (deterministic, no egress, no Hermes-for-translation).**
`bench/make_lang_questions.py <lang>` regenerates the per-language
question set from `bench/qa_questions.txt` via `opus-mt-en-<lang>`
(the sandwich's own engine); `bench/qa_sweep.py … --policy
crosslang_translate_enabled=true [--policy crosslang_entity_mask=…]
[--policy crosslang_source_lang=…]` runs the live sweep;
`bench/es_delta.py <en_baseline.jsonl> <xx_sandwich.jsonl>` is the
authoritative metric (per-question EN→xx transition).
`es_roundtrip_analysis.py` / `es_join_patterns.py` produced the
*refuted* metric below — kept only as the cautionary record.
**The real measurement (n=1, claim_lattice, same 75 questions).**
EN baseline **85 %** grounded (64/75) → es+sandwich (no mask)
**71 %** (53/75): the sandwich costs **14 pp**. Transitions:
PRESERVED 31 · DOWNGRADE S→H 16 · **LOST 17** · N/A 11 (6 of which
*gained*).
**Dead end (named, not buried).** A deterministic es→en round-trip
content-token-recall metric (CLEAN 77 % / DRIFT 20 % / COLLAPSE 3 %)
looked like a sharp predictor of grounding loss. It is **not**:
against the live delta, CLEAN grounds 71 % and DRIFT 73 % (no
separation), and **12 of the 17 LOST questions round-tripped CLEAN**.
The metric is abandoned. This is another instance of the
already-codified CLAUDE.md bench-maxing standing lesson (a clean
synthetic metric ≠ real bench-qa behaviour — #000049 §7); **not**
re-added to CLAUDE.md (DRY — it is already there).
**The LOST 17, from the artifact (not a hypothesis):** ≈7 *entity
translated/garbled* — `New London`→"nuevo Londres", `Tarsus`→"Tarso",
**`Boltzmann`→"perntzmann"** (opus-mt hallucinated the name),
`World War 2`→"Segunda Guerra Mundial"→"Second World War" (≠ corpus
"World War II"); ≈3 *broad-enumeration* shapes ("name all members of
the beatles", "list all planets") — a quantifier-guard×translation
interaction, separate lever; ≈several *n=1 stochastic* (`founder of
microsoft?`, `what continent is egypt on?` round-tripped clean,
entities intact, yet LOST — needs n=3 to separate).
**Lever built + validated (the entity slice).**
`arborist/qa/mt/entity_mask.py` — deterministic mask/restore (quoted
spans + Capitalised runs; corpus-title anchoring deferred to v2),
`MaskedTranslator` wrapper, default-ON within the (default-OFF)
sandwich, `crosslang_entity_mask` toggles it for the A/B. Measured
through **real opus-mt** round-trip: `who is Paul of Tarsus?` base →
"Pablo de Tarso" (the exact LOST case) → **+mask → "Paul of
Tarsus"**; `Boltzmann` is now garble-proof (never reaches MT). 5
tests.
**Honest caveat — the bench under-states the lever.** The bench
questions are *lowercased* (`a bridge between new london…`), so the
Capitalisation detector cannot fire on the en side; on the xx→en
edge it still catches `Egipto`/`London` etc. So any lift on *this*
bench is a **lower bound** — real cased user input does strictly
better. The detector that catches lowercase entities is
**corpus-title anchoring** (protect any query span matching a known
article title), deferred to v2.
**Also landed:** the #000056 fan-out caught a real defect —
`get_translator()` built a fresh ~300 MB model per call → at
concurrency 4 the first sweep was **88 % engine-ERROR**
(`meta tensors` race). Fixed: process-level memoised singleton +
lazy *per-pair* load (6 manifest pairs never load eagerly) + load
lock; 6 concurrent threads → 0 errors. French (`opus-mt-fr-en/-en-fr`)
and Russian (`ru`) added as second/third bread (manifest +
`crosslang_source_lang`); fr question set generated (`GNU Linux`
survives). [Tasks #14#17]
**Lift result (2026-05-17, measured — and it refutes the lever).**
n=1, claim_lattice, 75 q, vs EN baseline 64/75 (85 %):
| config | grounded | Δ vs EN | LOST |
|---------------|------------|---------|------|
| es, no mask | 53 (71 %) | 14 pp | 17 |
| **es, +mask** | **49 (65 %)** | **20 pp** | **22** |
| **fr, +mask** | **35 (47 %)** | **38 pp** | **33** |
**Entity-mask did not help — it is neutral-to-negative.** The
isolated `Paul of Tarsus` win did **not** replicate at bench scale:
es went 53→49 (4 q ≈ the 5 pp n=1 noise floor — *ambiguous*, not a
confirmed regression but certainly no lift). fr is unambiguous and
bad (38 pp, well past noise). My earlier "lever validated" claim
was premature; the bench refutes it. **Third instance this thread of
the CLAUDE.md bench-maxing lesson: an isolated/synthetic win ≠
bench-qa behaviour.** Likely causes (untested): the lowercased bench
gives the mask almost nothing to grab on the en side, so on the
xx→en edge it fires on *Spanish/French* capitalisation (which is not
English entity structure) and the sentinels perturb opus-mt's
translation of the rest of the sentence — net harm, not help.
**Honest standing verdict (comparator corrected 2026-05-17, fox).**
The right baseline is **not** native English — it is what
cross-language did *before this ticket*: the 2026-05-16
`¿Qué es el anarcocapitalismo?` run retrieved Spanish-song-title
noise, burned 10.4 s, returned UNGROUNDED — **≈0 % grounded**.
Against that true baseline:
- **The sandwich is a large net win: ~0 % → 71 % grounded (es)**, with
the proof core never corrupted. The 14 pp vs *English* is the
*cost of a capability that previously did not exist at all*, not a
regression. Calling that a "fail" was a comparator error — doom-
framing is as dishonest as hype.
- **The entity-mask *lever* is the genuine negative:** net-negative
at scale (es 71→65, fr 38 pp), so it is now **default-OFF**
(`crosslang_entity_mask=False`); the no-mask sandwich is the
better config and the one worth keeping.
- French is materially weaker than Spanish (fr+mask 47 %; fr no-mask
unmeasured — likely higher since mask hurt es). Still ≫ the ≈0 %
baseline.
So: **keep the sandwich (clear win over no support); drop the mask
default (failed lever); the 14 pp-vs-English is a discount on a new
capability, not a defect.** Remaining: n=3 to firm es/fr numbers,
fr no-mask measurement, corpus-title anchoring (the one untried
detector that works on lowercase). Default-OFF as an *experiment
flag*, but the experiment is now **promising, not failing**. fox
decides next spend; the honest recommendation flipped — this is
worth continuing, just not with the mask.