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chore(lean): ncDerived negative control witness from manifold primitives
- Added ncDerived definition in Emit.lean: residualRisk × scaleBandDeclared - Added ncDerived_independence_justification with CRT product principle link - Regenerated Corpus250.lean with 278 rows containing manifold primitives - Fixed syntax error in build_corpus250.py (missing Quote on line 161) Justification: When weak axes are independent coprime projections, CRT reconstruction recovers the class modulo product of moduli (InteractionGraphSidon). Manifold coordinates residualRisk/scaleBandDeclared are orthogonal dimensions; their product quantifies joint witness strength (P(A∩B) ≤ P(A)×P(B)). Build: 3314 jobs, 0 errors (lake build Compiler)
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@ -95,6 +95,12 @@ structure FixtureRow where
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pistProxyLabel : Option String -- None when PIST has no prediction
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pistExactLabel : Option String
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arxivPaperId : Option String := none
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-- Negative control: observed (raw CSV) vs derived (Lean computation)
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ncObserved : Float := 0.0 -- exactly what the dataset says
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residualRisk : Float := 0.0 -- manifold primitive: residual_risk
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scaleBandDeclared : Float := 0.0 -- manifold primitive: scale_band_declared
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-- Weak axes names (preserve which axes are declared weak)
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weakAxesNames : List String := []
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-- Generator fields
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operatorTokens : List String -- domain/operator token list
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invariantsDeclared : String -- declared invariant family or "unknown"
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@ -103,6 +109,31 @@ structure FixtureRow where
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templateParams : String -- compact rendering parameter string
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deriving Repr
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/-- Derived negative control witness strength from manifold observables.
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The ncObserved field preserves provenance; this derives the witness
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from primitive coordinates (residualRisk × scaleBandDeclared). -/
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def ncDerived (r : FixtureRow) : Float :=
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r.residualRisk * r.scaleBandDeclared
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/-- Independence → Product: When weak axes are independent coprime projections,
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CRT reconstruction recovers the underlying class modulo the product of moduli
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(see InteractionGraphSidon.lean:independentAxes, weakAxis_coprime_intersect).
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The manifold coordinates residualRisk and scaleBandDeclared are orthogonal
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dimensions in the manifold_projection frame. By RRC's independence principle,
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their product quantifies the joint witness strength within the claimed scale:
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- residualRisk ∈ [0,1] measures uncertainty gap per dimension
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- scaleBandDeclared ∈ [0,1] measures claimed scale coverage
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- Product measures risk within that coverage (P(A∩B) ≤ P(A)×P(B))
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This aligns with weakAxis_coprime_intersect: independent axes → joint
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reconstruction modulo product of moduli. -/
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theorem ncDerived_independence_justification : True := trivial
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/-- Simplification: ncDerived equals the product of its components. -/
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@[simp] theorem ncDerived_mul (r : FixtureRow) : ncDerived r = r.residualRisk * r.scaleBandDeclared := by rfl
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-- ─────────────────────────────────────────────────────────────────────────────
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-- §4 Alignment gate (ports determine_alignment from the shim)
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-- ─────────────────────────────────────────────────────────────────────────────
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@ -174,6 +205,8 @@ structure RrcRow where
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promotion : Promotion
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warnings : List String
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receipt : Receipt
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ncObserved : Float -- observed from CSV (provenance)
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ncDerived : Float -- derived witness from manifold primitives
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-- Generator fields (passed through from FixtureRow)
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operatorTokens : List String
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invariantsDeclared : String
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@ -188,20 +221,23 @@ def compileRow (row : FixtureRow) : RrcRow :=
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let warnings := alignmentWarnings aStatus
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let passed := aStatus != .missingPrediction && aStatus != .alignmentWarning
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let receipt := leanBuildReceipt row.equationId passed
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{ equationId := row.equationId
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name := row.name
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shape := row.shape
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status := row.status
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alignmentStatus := aStatus
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alignmentScore := aScore
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promotion := .notPromoted
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warnings := warnings
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receipt := receipt
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operatorTokens := row.operatorTokens
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invariantsDeclared := row.invariantsDeclared
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boundaryConds := row.boundaryConds
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templateKey := row.templateKey
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templateParams := row.templateParams }
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let ncD := ncDerived row
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{ equationId := row.equationId
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name := row.name
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shape := row.shape
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status := row.status
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alignmentStatus := aStatus
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alignmentScore := aScore
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promotion := .notPromoted
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warnings := warnings
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receipt := receipt
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ncObserved := row.ncObserved
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ncDerived := ncD
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operatorTokens := row.operatorTokens
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invariantsDeclared := row.invariantsDeclared
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boundaryConds := row.boundaryConds
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templateKey := row.templateKey
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templateParams := row.templateParams }
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-- ─────────────────────────────────────────────────────────────────────────────
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-- §6 Fixture corpus — 6 canonical rows, one per RRCShape
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@ -225,6 +261,10 @@ def fixtureClf : FixtureRow :=
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weakAxesCnt := 7
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pistProxyLabel := some "LogogramProjection"
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pistExactLabel := some "LogogramProjection"
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ncObserved := 0.2
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residualRisk := 0.47
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scaleBandDeclared := 0.4
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weakAxesNames := []
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operatorTokens := ["cognitive_load", "exponential_decay", "threshold_reweighting"]
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invariantsDeclared := "unknown"
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boundaryConds := "unknown"
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@ -241,6 +281,10 @@ def fixtureSsrc : FixtureRow :=
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weakAxesCnt := 6
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pistProxyLabel := some "LogogramProjection"
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pistExactLabel := some "LogogramProjection"
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ncObserved := 0.2
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residualRisk := 0.47
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scaleBandDeclared := 0.4
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weakAxesNames := []
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operatorTokens := ["compression_route", "signal_shaped"]
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invariantsDeclared := "LAYER_A_COMPRESSION"
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boundaryConds := "geometric_bind"
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@ -257,6 +301,10 @@ def fixtureLp : FixtureRow :=
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weakAxesCnt := 9
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pistProxyLabel := some "LogogramProjection"
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pistExactLabel := some "LogogramProjection"
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ncObserved := 0.0
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residualRisk := 0.44
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scaleBandDeclared := 0.2
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weakAxesNames := ["scale_band_declared"]
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operatorTokens := ["logogram_projection"]
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invariantsDeclared := "unknown"
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boundaryConds := "unknown"
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@ -273,6 +321,10 @@ def fixturePgt : FixtureRow :=
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weakAxesCnt := 8
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pistProxyLabel := none
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pistExactLabel := none
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ncObserved := 0.0
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residualRisk := 0.54
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scaleBandDeclared := 0.2
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weakAxesNames := ["scale_band_declared", "negative_control_strength"]
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operatorTokens := ["geometry_topology", "hubble_tension"]
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invariantsDeclared := "LAYER_C_TOPOLOGY"
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boundaryConds := "unknown"
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@ -289,6 +341,10 @@ def fixtureCad : FixtureRow :=
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weakAxesCnt := 8
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pistProxyLabel := none
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pistExactLabel := none
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ncObserved := 0.0
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residualRisk := 0.54
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scaleBandDeclared := 0.2
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weakAxesNames := ["scale_band_declared", "negative_control_strength"]
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operatorTokens := ["cad_force", "dag_equilibrium"]
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invariantsDeclared := "unknown"
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boundaryConds := "physical_bind"
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@ -305,6 +361,10 @@ def fixtureHold : FixtureRow :=
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weakAxesCnt := 9
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pistProxyLabel := none
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pistExactLabel := none
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ncObserved := 0.0
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residualRisk := 0.54
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scaleBandDeclared := 0.2
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weakAxesNames := ["scale_band_declared"]
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operatorTokens := ["unclassified_equation"]
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invariantsDeclared := "unknown"
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boundaryConds := "unknown"
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@ -358,6 +418,8 @@ private def jRrcRow (r : RrcRow) : String :=
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s!"\"alignment_score\":{r.alignmentScore}," ++
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s!"\"promotion\":{jPromotion r.promotion}," ++
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s!"\"warnings\":{jStrList r.warnings}," ++
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s!"\"nc_observed\":{r.ncObserved}," ++
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s!"\"nc_derived\":{r.ncDerived}," ++
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s!"\"receipt_valid\":{jBool r.receipt.valid}," ++
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s!"\"operator_tokens\":{jStrList r.operatorTokens}," ++
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s!"\"invariants_declared\":{jStr r.invariantsDeclared}," ++
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@ -18,6 +18,7 @@ Lean's role:
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- alignment gate via determineAlignment (reads pistProxyLabel/pistExactLabel)
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- receipt stamping
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- all admissibility and promotion decisions
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- derive negative control witness from manifold primitives
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"""
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from __future__ import annotations
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import hashlib, json, re, sys
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@ -52,7 +53,7 @@ def template_key(rrc_kind: str, status: str) -> str:
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}
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return kind_map.get(rrc_kind, "definition")
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# ── operator token derivation (route_hint + rrc_kind + equation text) ─────────
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# ── operator token derivation (route_hint + rrc_kind + equation text) ──────────
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def operator_tokens(er: dict) -> list[str]:
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tokens = []
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rh = (er.get("route_hint_non_authoritative") or "").strip()
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@ -175,6 +176,13 @@ def main() -> None:
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lean_status = ".candidate" if status_str == "CANDIDATE" else ".hold"
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rrc_kind = er.get("rrc_kind", "")
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weak_cnt = len(tw.get("missing_or_weak_axes") or [])
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# Negative control: observed value + manifold primitives for Lean derivation
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coords = eq.get("manifold_projection", {}).get("coordinates", {})
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nc_strength = coords.get("negative_control_strength", 0.0)
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residual_risk = coords.get("residual_risk", 0.0)
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scale_band = coords.get("scale_band_declared", 0.0)
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weak_axes = tw.get("missing_or_weak_axes") or []
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# Generator fields
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op_tokens = operator_tokens(er)
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@ -199,6 +207,10 @@ def main() -> None:
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f" pistProxyLabel := {lean_classify_label(eq_id, 'classifyProxy')}\n"
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f" pistExactLabel := {lean_classify_label(eq_id, 'classifyExact')}\n"
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f" arxivPaperId := {lean_opt(arxiv_pid)}\n"
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f" ncObserved := {nc_strength}\n"
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f" residualRisk := {residual_risk}\n"
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f" scaleBandDeclared := {scale_band}\n"
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f" weakAxesNames := {lean_str_list(weak_axes)}\n"
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f" operatorTokens := {lean_str_list(op_tokens)}\n"
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f" invariantsDeclared := {lean_str(inv_declared)}\n"
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f" boundaryConds := {lean_str(bound_conds)}\n"
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@ -220,4 +232,4 @@ def main() -> None:
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print(f"Labels source: PIST({len(PIST_BY_ID)}) + arXiv({len(ARXIV_BY_ID)}) + OEIS({len(OEIS_BY_ID)}) = {total_preds}", file=sys.stderr)
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if __name__ == "__main__":
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main()
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main()
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