feat(validator,generate,run): an identifier a proposal builds on must be in the input, or the verdict falls [skip-docs]
P6 (økt 108) ended in ValidatedProposal (verdict 5fd6272e3725fe68) on two cost codes -- M-04-01 / M-04-03 -- that appear in NO prompt of that run. Measured here first, verbatim: validate_proposal(p, baseline=None) validates it; the same proposal against any non-empty CostBaseline is rejected naming both codes. So the hole was never "fabrication goes uncaught" -- _reconcile_against_baseline exists and is right -- but that the falsifier is reached only through `if baseline is not None`. The input always exists; the baseline does not. New stage 0b (_ground_against_input), OUTSIDE the baseline branch, after stage 0 so an anchored run's message is byte-identical to before. ONE Rejection, the validator's own type, naming EVERY ungrounded identifier "; "-joined in the proposal's own order (økt 94's completeness reason). The rule has NO pattern -- `code in grounding`, exact substring -- and that is a measurement: over the delivered corpora (K2 1108 files / 2 005 561 chars, the three N payloads 8 excerpts each) the identifier forms are heterogeneous, and a pattern chosen to cover them would be a rule about shapes. Bare numerals are the one inert class (46 394 occurrences / 2 117 distinct in K2); the rule fails OPEN there, never closed. Evidence is three non-model-authored sources: what run_project DELIVERED (the rendered cut/pointer/chunks plus the base's context_files -- never files, which would make the type: verdict layer evidence), the project's own cost lines, and the baseline's codes when anchored. The rendered PROMPT is deliberately NOT evidence, on two measurements: gen_context IS the debate output on the S2c path, and from attempt 2 the prompt carries the previous Rejection.reason verbatim -- which for this stage QUOTES the identifier it just refused. Grounding in the prompt would let the gate's own refusal disarm it on its second round. Prose scanning was chosen against WITH THE NUMBERS: a typed gate catches 2/2 (P6) and 2/2 (S7c) -- 100% of what reached a verdict. What stays uncaught, said plainly: an ungrounded identifier that lives only in agent/debate prose and never becomes an affected_item code (2 of 4 P6, 2 of 4 S7c, 1 of 2 P4). Iron Law: 9 red / 2 green before the rule existed. Ten mutations all red against the whole suite, green control 1558 passed / 5 skipped (from 1543/5, superset, 0 removed), golden demo-transcript.stdout BYTE-UNCHANGED (shasum -a 1 of the CONTENT = ea8c534773acdbe41ae68f2c55724d69aaf8be4f). Three existing fixtures changed, no gate weakened -- most of all test_pre_amendment_bundle_runs_unchanged, which sent the SAME FABRICATED code and asserted it validated: the økt-108 hole written down as an expectation. No paid run. Order 20260909T113641Z-38938691-from-.claude. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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@ -208,10 +208,58 @@ def _reconcile_against_baseline(
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return Rejection(proposal=proposal, reason="; ".join(violations))
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def _ground_against_input(proposal: SavingsProposal, grounding: str) -> Rejection | None:
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"""P7: every identifier the proposal builds on must appear VERBATIM in the input it was built
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from, or the verdict falls.
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**Why this is a SEPARATE stage and not a widening of stage 0.** ``_reconcile_against_baseline``
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already carries the sentence "the cost code is absent from the baseline — a fabricated line",
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and it is right. But it is reached only through ``if baseline is not None``, so the falsifier
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is tied to whether a cost baseline happens to exist — and MEASURED (økt 108, verdict
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``5fd6272e3725fe68``), an unanchored K2 run ended in ``ValidatedProposal`` on two cost codes
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(``M-04-01`` / ``M-04-03``) that appear in NO prompt of that run. **The input always exists;
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the baseline does not.** This stage therefore runs on its own, whatever ``baseline`` is.
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**Exact substring, no pattern.** The check is ``code in grounding``: nothing here needs to know
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what an identifier LOOKS like, so nothing here can be wrong about a form the corpus carries.
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That is deliberate — measured over the delivered corpora (K2: 1 108 concept files / 2 005 561
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chars; the three N payloads: 8 delivered excerpts each), the identifier forms are heterogeneous
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(499 ``UPPER-num`` occurrences / 23 unique and 25 single-letter ``B-20-00-00``-style codes in
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K2; requirement numbers such as ``Krav 3.3.1—13`` that live in ``req_number``/``title`` and
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never in an excerpt body; 71 UUIDs in one payload), and a pattern chosen to cover them would
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be a rule about shapes rather than about grounding.
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It fails OPEN, never closed, on a coincidental match: measured, K2 carries 46 394 bare-number
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occurrences over 2 117 distinct values, so a numeric-only code is almost always "grounded" by
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accident. That is a known weakness of this stage, never a false rejection — the honest failure
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direction for a gate that speaks about a model's invention.
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Returns ONE ``Rejection`` (the validator's own type — never a new gate) naming EVERY ungrounded
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identifier, ``"; "``-joined, in the PROPOSAL's own order, exactly as ``_reconcile_against_
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baseline`` does and for the same measured reason (økt 94): Step 5 feeds this reason verbatim
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into the next attempt's prompt, and a message naming only the first violation reads as an
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instruction to fix that one and leave the rest.
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Only ``affected_items`` codes are checked. An ``assumptions`` key naming no affected item is
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deliberately out of scope: the Monte Carlo never samples such a band (``SavingsProposal.
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_assumption_bands_enclose_unit_cost`` says so in the same words), so it cannot move the verdict,
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and a check on it would be a branch no recording exercises."""
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violations = [
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f"ungrounded identifier {item.code!r}: it appears nowhere in the input this proposal "
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f"was built from ({len(grounding)} chars)"
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for item in proposal.affected_items
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if item.code not in grounding
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]
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if not violations:
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return None
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return Rejection(proposal=proposal, reason="; ".join(violations))
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def validate_proposal(
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proposal: SavingsProposal,
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*,
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baseline: CostBaseline | None = None,
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grounding: str | None = None,
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tolerance: float = BASELINE_TOLERANCE_DEFAULT,
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method_caps: Mapping[str, float] | None = None,
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) -> ValidatedProposal | Rejection:
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@ -223,7 +271,12 @@ def validate_proposal(
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hallucination clears the gate. It is OPTIONAL — ``None`` is exactly the pre-S4.0 behaviour, so a
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caller with no baseline (a bundle authored before the amendment) is unchanged — but both run
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paths SET it. ``tolerance`` is the reconciliation's config knob; ``method_caps`` overrides the
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built-in method-cap registry (F8)."""
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built-in method-cap registry (F8).
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``grounding`` (P7) is the input text the proposal must be grounded in — the rendered prompt the
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model actually received. It is OPTIONAL for the same reason ``baseline`` is (``None`` = the
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pre-P7 gate, so every caller and every golden is unchanged), but it closes a DIFFERENT hole:
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stage 0 only fires when a baseline exists, while the input exists always."""
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# Stage 0 (S4.0): reconcile against the cost baseline BEFORE the solver. It is the cheapest
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# stage and the only one that can tell a fabricated line from a real one — spending a CBC solve
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# on numbers that do not belong to the project is work on a claim that cannot be validated.
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@ -231,6 +284,16 @@ def validate_proposal(
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blocked = _reconcile_against_baseline(proposal, baseline, tolerance)
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if blocked is not None:
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return blocked
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# Stage 0b (P7): every identifier the proposal builds on must appear verbatim in the input. It
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# sits OUTSIDE the baseline branch above -- that is the whole point: stage 0 is the stronger
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# check but only an anchored run has it, while an unanchored run had NO falsifier for a
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# fabricated code at all. Placed AFTER stage 0 so an anchored run's message is byte-identical
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# to before: where both would fire, the baseline's sentence is the more actionable one (it
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# names the project and how many codes it knows), and Step 5 feeds that sentence back.
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if grounding is not None:
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adrift = _ground_against_input(proposal, grounding)
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if adrift is not None:
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return adrift
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# Stage 1 (Pydantic) already ran at construction. Stage 2: real CBC solve.
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nominal = _solve_max_feasible(proposal.affected_items, MAX_SAVING_FRACTION)
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# Stage 3: Monte Carlo percentiles of the feasible saving.
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