Tablet 49: the bedikah grounds an output in what it was GIVEN, not in L1 alone
The first grounding check asked whether an output cited Torah verses —
Torah as content. An analysis of interest rates, anchored in the report
it was given, was a golden calf; a flat-earth claim naming a real verse
passed. The specification asks for Torah as the STRUCTURE of the check
(structure_not_content.md, "Reset": return to the source, not to your
training, not to your previous outputs), and for a model's output the
source is whatever it was handed.
Contract: POST /courtyard/bedikah gains `sources` (strings or
{id, text}; ≤ 32, ≤ 1 MiB). Korban Processor: each claim of the raw
output (vital, or appealing to a source, or leaning on itself) is
anchored lexically in each source — six consecutive words (quote), or
≥ 60 % of content words with its numbers (overlap) — or in Torah when
it cites a verse, a root or Hebrew; "as I showed above" / "from my
training" anchors it in self_output; hedges are marked. Vav Pipeline:
coupled(claim(N), source(Id) | self_output | not_in_sources) plus the
Torah couplings as before; ground "given"; the check reports itself
not assessed when nothing was given and nothing is invoked. Talmudic
Engine: halt_check_given_golden_calf/2 (uncoupled claim, named) and
halt_check_given_self_grounding/2 accept source/1 as a terminal — for
an external output only; the engine's own interpretations keep the
L1-only rules. L3: bedikot.sources (id, sha256, length — never text)
and bedikot.claims.
Specs: Tamid §1.1 (contract, anchoring, limits), Vayakhel §3.9,
Architecture §3.5, Broken Tablets tablet 49, KOHEN.md. Ingress body
2m. Doorpost a2ec3842… → 6c8933e7….
Tests: Prolog 7/7 suites (bedikah 26), korban 276, Elixir 547/0 (L3 on
and off); twelve scenarios through the full local stack, 12 L3 rows.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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@@ -84,9 +84,17 @@ json_to_request(Dict, request(halt_check, Action)) :-
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%% "coupling_trace": ["coupled(root(אהב), verse(devarim, 6, 5))", ...]}}
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%% becomes interpretation(Ref, [], [], none, Confidence, coupling_trace(Trace)),
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%% the shape halt_check_golden_calf and halt_check_self_grounding read.
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json_to_request(Dict, request(halt_check_interpretation, Interpretation)) :-
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%% With "ground": "given" the trace is judged against the sources the
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%% output was given (avodah_zarah.pl, forms 2 and 4 for an external
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%% output): request(halt_check_interpretation_given, ...). Without it,
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%% the engine's own L1-only rules apply.
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json_to_request(Dict, request(Kind, Interpretation)) :-
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get_dict(action, Dict, "halt_check_interpretation"),
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get_dict(interpretation, Dict, IDict),
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( get_dict(ground, IDict, "given")
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-> Kind = halt_check_interpretation_given
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; Kind = halt_check_interpretation
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),
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get_dict(ref, IDict, RefStr),
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atom_string(Ref, RefStr),
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( get_dict(confidence, IDict, ConfStr)
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