Doc-only landing. docs/spec-methodology.md codifies the discipline arborist already practices — versioning rule, round-trip discipline, soundness/completeness honesty, default-value greenfield rule, sidecar separation — so new π*, V, and policy-field authors don't re-derive it from audit-chain failures. Three author-class sections each ship with: - Five questions the author must answer before landing. - Worked example drawn from arborist's existing surface. - One-page checklist. Worked examples cited: - π* — wikitext-base@v1 - V — paraphrase strategy - policy field — quantifier_guard_apply_caps Cross-references to bench-maxing, seven-point-program, pi-star- composition, concept-relations-design, and CLAUDE.md.
331 lines
12 KiB
Markdown
331 lines
12 KiB
Markdown
# Spec methodology — authoring π*, V, and policy fields
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Reference doc commissioned by ticket #000019. The SQD whitepaper
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identifies spec brittleness as the real bottleneck: with perfect
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optimization, a wrong π* or V produces verified nonsense. This doc
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codifies the discipline arborist already practices, so new authors
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don't re-derive it from the codebase every time.
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This is a checklist, not a rulebook. Where it conflicts with
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something concrete in `CLAUDE.md`, `CLAUDE.md` wins.
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## 0. Why this doc exists
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arborist has, over its history, evolved:
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- One canonical text projection (`wikitext-base@v1`).
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- One claim-lattice projection (`claim-lattice@v1`).
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- A four-strategy verifier (quote / span / entity / paraphrase) with
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layered fallback (`arborist/qa/verify.py`).
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- Seven-plus policy fields folded into `governance_policy_hash`.
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Every one of those landed through bench-driven iteration with no
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authoritative "how to author the next one" guide. New authors
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either:
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- Replicate prior work by mimicry (good but loses the *why*).
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- Re-derive the discipline from the audit-chain failures (slow).
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- Skip steps and ship something that breaks (bad).
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This doc closes the gap. It's the source of truth for the questions
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every new π*, V, or policy field author should answer before
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landing.
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## 1. Authoring a new π* (canonical projection)
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A π* takes raw bytes and returns canonical bytes — collapsing
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"different surface forms with same meaning" into a single
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representative. New π*'s register through
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`arborist.pi_star.register` (ticket #000015).
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### 1.1 Versioning rule
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**Any byte-affecting change requires a new version number.** Never
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mutate `wikitext-base@v1` in place; land `wikitext-base@v2` and
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ship both for the deprecation window.
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The registry key is `name@version`. It enters
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`canonicalization_version` (per-π* slot in v9.8 cache_key) and/or
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`governance_policy_hash` (where multiple π*'s combine). Changing
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the key value invalidates every cache record that hashed it.
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This is the right behavior — the alternative is silent drift where
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two records claim the same canonicalization but produce different
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bytes.
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### 1.2 Round-trip test
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Every π* MUST satisfy `canonicalize(canonicalize(x)) ==
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canonicalize(x)` on inputs in its declared domain. The
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`assert_round_trip` helper in `arborist.pi_star.protocol` exercises
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this. If the π* is not idempotent (e.g., `claim-lattice@v1`
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projects text → JSON; running it on its JSON output produces
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different bytes), document the projective nature explicitly in the
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module docstring and skip the round-trip assertion in tests.
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### 1.3 Equivalence class declaration
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State, in the module docstring, **what the projection collapses**
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and **what it preserves**. Examples:
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- `wikitext-base@v1` collapses MediaWiki templates, citations,
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link markup, and HTML entities → preserves the prose token sequence.
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- `claim-lattice@v1` collapses text claim-line phrasing → preserves
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parsed claim text + pointer IDs + parse status.
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Authors that don't write this section invariably under-specify and
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ship surprises.
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### 1.4 Policy-fold rule
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Pick exactly one of:
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- `canonicalization_version` (per-shard, single-π* records like text
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ingestion). Bumping invalidates ingest-time canonicalization.
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- `chunking_version` (per-shard, single-π* records like chunker
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output). Same semantics.
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- `governance_policy_hash` (multi-π* policy bundles, runtime
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decisions). Bumping invalidates everything within
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governance scope.
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- Sibling field on a non-cache-keyed table (e.g.,
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`selfmodel_records`, `memory_records`). Doesn't invalidate cache.
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The default for a new π*: declare it in `governance_policy_hash`
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unless it slots clearly into one of the dedicated version fields.
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### 1.5 Deprecation policy (current)
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v1 of any π* stays valid until **explicit retirement**. Retirement
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is its own ticket and includes:
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- Re-canonicalization tooling for v1 records (so they can move
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forward to v2).
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- A grace window during which both versions are queryable.
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- Audit-chain entries for every record migrated.
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There is no automatic deprecation; old keys live forever in the
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registry unless explicitly removed (and removal requires its own
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ticket).
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### 1.6 Worked example: `wikitext-base@v1`
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See `arborist/pi_star/text.py` and `arborist/wikitext.py`.
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- Domain: `text-or-wikitext`. Input is UTF-8 bytes; output is UTF-8
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prose bytes.
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- Equivalence class: collapses MediaWiki markup and templates;
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preserves token sequence.
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- Round-trip: idempotent (prose canonicalized again is the same
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prose).
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- Policy fold: lands in `governance_policy_hash` via
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`policy["base_version"]` per the QA runner.
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- Lineage: `BASE_VERSION = "wikitext-base-v1"` in
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`arborist/wikitext.py`. Bump = new version key + new module
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registration.
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### 1.7 New-π* author checklist
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- [ ] Module docstring states domain, equivalence class collapsed,
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what's preserved.
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- [ ] `name`, `version`, `domain` declared as class attributes.
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- [ ] Registers via `arborist.pi_star.register` at module-import
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time.
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- [ ] Round-trip test (or explicit projective declaration with
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reason).
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- [ ] Determinism test: same input + same registry → byte-identical
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output across runs.
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- [ ] Policy-fold rule chosen and documented.
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- [ ] If composition with existing π*'s is intended: composition
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manifest + fingerprint test.
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- [ ] Spec-methodology checklist (this section) referenced in the
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ticket that lands the new π*.
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## 2. Authoring a new V (verifier strategy)
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A verifier strategy V is one of the layered checks in
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`arborist/qa/verify.py`. New strategies land as new branches in the
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strategy chain, NOT mutations of existing ones.
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### 2.1 Soundness statement
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State precisely: "V(a)=1 implies <stated semantic property> holds
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on a." For the existing strategies:
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- `quote`: V=1 ⇒ the quoted span verbatim appears in the cited
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evidence.
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- `span`: V=1 ⇒ the answer's full evidence-anchored span is a
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verbatim line in cited evidence.
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- `entity`: V=1 ⇒ the proper-noun entities cited in the answer
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cluster within proximity in evidence (under stated entity_policy).
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- `paraphrase`: V=1 ⇒ the answer's prose has token-coverage above
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threshold against cited evidence.
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Soundness statements anchor claim audits — when an auditor sees
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`audit_mode=STRICT` and the verifier_method is one of these, they
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know exactly what was checked.
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### 2.2 Completeness statement
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State the **honest gap**: what does V *fail* to accept that should
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be true under the intended semantics? Examples:
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- `quote`: fails when paraphrased correctly.
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- `paraphrase`: fails when the answer is correct but uses near-zero
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shared tokens with evidence.
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A verifier with no completeness gap is suspect — usually means the
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gap wasn't measured.
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### 2.3 Strategy ordering
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Layered verifiers try strategies in fixed order. New strategies
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must declare their position and the consequence of reordering. The
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existing chain is `quote → span → entity → paraphrase`; the
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ordering matters because each strategy can either succeed (lock
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the verdict) or fall through.
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A new strategy author must answer: "If I run BEFORE the existing
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chain, what false-positives does my strategy introduce? If I run
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AFTER, do I still get any traction?" The answer goes in the
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strategy's module docstring.
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### 2.4 Falsification surface
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What signal would falsify V's soundness claim? Concretely:
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- Bench-suite regression below 5pp signal floor (per
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`docs/bench-maxing.md`).
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- A counter-example fixture where V=1 but the semantic property
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doesn't hold.
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- Audit-chain disagreement against another sound verifier on the
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same input.
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Strategy authors include a falsifier set in the strategy's tests.
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### 2.5 Sidecar discipline (CLAUDE.md hard rule)
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Soft signals never enter V's hard output. The
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`arborist.qa.inspect.diagnose_*` family produces sidecar
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classifications (deflection, title-relevance, etc.) that are
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read-only — they cannot write to `providence_cache` or
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`audit_events`.
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When tempted to add a "soft signal" to V, ask: "Does this surface
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a probabilistic / heuristic judgment?" If yes, it goes in a
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sidecar. If V starts emitting "MAYBE" alongside "VERIFIED", the
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binary discipline is broken.
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### 2.6 Worked example: paraphrase strategy
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See `verifier_method='paraphrase'` in `arborist/qa/verify.py`.
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- Soundness: V=1 ⇒ token-coverage of answer against cited evidence
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exceeds policy threshold (default 0.6).
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- Completeness gap: rejects correct answers that paraphrase using
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novel vocabulary.
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- Position: last in the chain (after quote/span/entity). Reordering
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earlier introduces false positives because token-coverage is
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cheap to satisfy.
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- Falsification: bench-fixture regression below 5pp.
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- Sidecar relationship: `diagnose_deflection` runs alongside; never
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feeds into V.
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### 2.7 New-V author checklist
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- [ ] Soundness statement explicit in module docstring.
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- [ ] Completeness gap acknowledged with example.
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- [ ] Strategy ordering position declared with rationale.
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- [ ] Falsifier set covered by tests.
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- [ ] Hard verifier output remains binary (no soft signals).
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- [ ] Sidecar(s) for soft signals exist if relevant.
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- [ ] Bench fixtures added to capture the strategy's behavior.
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## 3. Authoring a new policy field
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Policy fields fold into `governance_policy_hash` (or sibling
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fields). New fields must answer four questions before landing.
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### 3.1 Cache_key impact
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Two options:
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- **Folds into `governance_policy_hash`.** Field changes invalidate
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prior cache. Choose this when the field actually changes the
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answer's audit identity (e.g., `quantifier_guard_apply_caps` —
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applying claim caps changes which answers verify).
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- **Sibling field on providence record.** Cache hits across field
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changes. Choose this when the field is operator-metadata that
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shouldn't reframe what counts as the same answer (e.g.,
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`retrieval_keywords` per ticket #000001).
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### 3.2 Audit-event emission
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Does setting the field generate an audit event? If yes, declare the
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event_type and body shape. If no, document why (typically: the
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field is read-only / lookup-time-only).
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### 3.3 Default value rule
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Greenfield-acceptable means **the default value matches prior
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implicit behavior**. Adding a field with a default that changes
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answers is a bug — every existing record becomes incorrect under
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the new default.
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Rule: default = "what the system did before this field existed."
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### 3.4 Test coverage requirement
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Two tests at minimum:
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- **Hash-divergence test.** Different field values produce different
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`governance_policy_hash`. Confirms the field actually enters the
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hash.
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- **Default-stability test.** Default value preserves prior cache.
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Confirms greenfield landing.
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### 3.5 Worked example: `quantifier_guard_apply_caps`
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See ticket #000008 §12.
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- Cache_key impact: folds into `governance_policy_hash`. Different
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cap values = different cache_keys.
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- Audit event: emitted as part of the run-DAG retrieval stage.
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- Default: `False` (greenfield-acceptable; pre-#000008 behavior was
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no caps).
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- Tests: `tests/test_quantifier.py` covers both hash divergence and
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default stability.
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### 3.6 New-policy-field author checklist
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- [ ] Cache_key impact decision documented.
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- [ ] Default value matches prior implicit behavior (greenfield).
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- [ ] Audit event declaration if relevant.
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- [ ] Hash-divergence test.
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- [ ] Default-stability test.
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- [ ] Spec-methodology checklist (this section) referenced in the
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ticket that lands the field.
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## 4. Cross-references
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- **`docs/bench-maxing.md`** — 5pp signal-floor discipline; "old
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maps vs runtime maps"; n≥3 measurement.
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- **`docs/seven-point-program.md`** — architectural directives
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every ticket walks past.
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- **`docs/pi-star-composition.md`** — composition algebra
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(ticket #000015).
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- **`docs/concept-relations-design.md`** — concept-relations
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storage rationale (worked example of "policy-touching but
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not cache-keying" decision).
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- **`CLAUDE.md`** — hard rules: verifier stays binary, no soft
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signals in hard chain, soft hash never in hard preimage,
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Python-only, etc.
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## 5. Updating this doc
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When new categories emerge (e.g., a new class of verifier-related
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artifact, or a new authoritative table), add a section. Worked
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examples drift; refresh them with each major version of arborist
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or whenever a referenced module changes shape materially.
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This doc is reference, not ticket. Edits land in normal commits
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with a brief message about the new category or refresh.
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