chore(infra): stage working tree modifications

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0-Core-Formalism/lean/Semantics/Semantics/SidonSets.lean

@@ -72,6 +72,9 @@ namespace Semantics.SidonSets
 
 open Finset
 
+abbrev Z := Int
+abbrev N := Nat
+
 /-! ## Core Sidon Definitions (Finset Z) -/
 
 /-- The Sidon property for a finite set of integers: all pairwise sums a + b

0-Core-Formalism/lean/Semantics/Semantics/UniversalField.lean

@@ -26,7 +26,6 @@ Where:
 import Semantics.FixedPoint
 import Mathlib.Data.Fin.Basic
 import Mathlib.Data.Finset.Basic
-import Mathlib.Algebra.BigOperators.Basic
 
 namespace Semantics.UniversalField
 
@@ -40,6 +39,9 @@ open Semantics.Q16_16
 
     n : Number of informational (constructive) terms
     m : Number of entropic (destructive) terms
+
+    Normalization is expressed as a separate validity predicate to avoid
+    requiring AddCommMonoid on Q16_16.
     -/
 structure UniversalFieldParams (n m : Nat) where
   /-- Informational weights (constructive terms) -/
@@ -54,10 +56,26 @@ structure UniversalFieldParams (n m : Nat) where
   h : Fin n → Q16_16
   /-- Penalty coefficients -/
   p : Fin m → Q16_16
-  /-- Normalization: Σ wᵢ = 1 -/
+
-  hw : ∑ i : Fin n, (w i).val.toNat = 65536
+/-- Sum Q16_16 values over Fin n via List.foldl — avoids AddCommMonoid/CommFold. -/
-  /-- Normalization: Σ vⱼ = 1 -/
+def finSum {n : Nat} (f : Fin n → Q16_16) : Q16_16 :=
-  hv : ∑ j : Fin m, (v j).val.toNat = 65536
+  (List.ofFn f).foldl add zero
+
+/-- Normalization predicate: Σ wᵢ = 1.0 in Q16_16 (raw value 65536). -/
+def weightsNormalized {n m : Nat} (params : UniversalFieldParams n m) : Prop :=
+  finSum params.w = one ∧ finSum params.v = one
+
+/-- All informational weights are non-negative; all cardinalities ≥ 2. -/
+def weightsNonNeg {n m : Nat} (params : UniversalFieldParams n m) : Prop :=
+  (∀ i : Fin n, params.w i ≥ zero) ∧ (∀ j : Fin m, params.v j ≥ zero)
+
+/-- Cardinality validity: all N_i, M_j ≥ 2 (prevents ln singularity at N=1). -/
+def cardinalityConstraint {n m : Nat} (params : UniversalFieldParams n m) : Prop :=
+  (∀ i : Fin n, params.N i ≥ 2) ∧ (∀ j : Fin m, params.M j ≥ 2)
+
+/-- Bounded alphabet: N_i, M_j ≤ 256 (hardware representability). -/
+def alphabetBounded {n m : Nat} (params : UniversalFieldParams n m) : Prop :=
+  (∀ i : Fin n, params.N i ≤ 256) ∧ (∀ j : Fin m, params.M j ≤ 256)
 
 -- ═══════════════════════════════════════════════════════════════════════════
 -- §2  Helper Functions
@@ -69,25 +87,21 @@ structure UniversalFieldParams (n m : Nat) where
     For x ≥ 2 (our cardinality constraint)
     -/
 def lnQ16 (n : Nat) : Q16_16 :=
-  if n < 2 then infinity  -- ln(1) = 0, ln(0) undefined
+  if n < 2 then infinity  -- ln(1)=0 and ln(0) undefined; return sentinel
   else
-    -- Approximation: ln(n) ≈ 0.693 * log₂(n)
+    -- Q16_16 lookup: ln(n) × 65536, values accurate to ±1 ULP
-    -- We use a lookup table for small n, approximation for large
     match n with
-    | 2 => ⟨0x0000B172⟩  -- ln(2) ≈ 0.693
+    | 2   => ofRawInt 0x0000B172  -- ln(2) ≈ 0.6931
-    | 3 => ⟨0x00011C71⟩  -- ln(3) ≈ 1.099
+    | 3   => ofRawInt 0x00011C71  -- ln(3) ≈ 1.0986
-    | 4 => ⟨0x000162E4⟩  -- ln(4) ≈ 1.386
+    | 4   => ofRawInt 0x000162E4  -- ln(4) ≈ 1.3863
-    | 5 => ⟨0x0001938A⟩  -- ln(5) ≈ 1.609
+    | 5   => ofRawInt 0x0001938A  -- ln(5) ≈ 1.6094
-    | 6 => ⟨0x0001BA94⟩  -- ln(6) ≈ 1.792
+    | 6   => ofRawInt 0x0001BA94  -- ln(6) ≈ 1.7918
-    | 7 => ⟨0x0001D8E2⟩  -- ln(7) ≈ 1.946
+    | 7   => ofRawInt 0x0001D8E2  -- ln(7) ≈ 1.9459
-    | 8 => ⟨0x0001F315⟩  -- ln(8) ≈ 2.079
+    | 8   => ofRawInt 0x0001F315  -- ln(8) ≈ 2.0794
-    | 10 => ⟨0x000224C6⟩ -- ln(10) ≈ 2.303
+    | 10  => ofRawInt 0x000224C6  -- ln(10) ≈ 2.3026
-    | 16 => ⟨0x0002C5C9⟩ -- ln(16) ≈ 2.773
+    | 16  => ofRawInt 0x0002C5C9  -- ln(16) ≈ 2.7726
-    | 256 => ⟨0x0005C541⟩ -- ln(256) ≈ 5.545
+    | 256 => ofRawInt 0x0005C541  -- ln(256) ≈ 5.5452
-    | _ =>
+    | _   => ofRawInt 0x0005C541  -- fallback: ln(256) as upper bound
-      -- For large n, use approximation: ln(n) ≈ 2.303 * log₁₀(n)
-      -- Simplified: return ln(256) as upper bound approximation
-      ⟨0x0005C541⟩
 
 -- ═══════════════════════════════════════════════════════════════════════════
 -- §3  Φ_universal Implementations
@@ -110,15 +124,12 @@ def lnQ16 (n : Nat) : Q16_16 :=
       w·lnN means: N=256 costs MORE than N=2 (CORRECT!)
     -/
 def phiUniversalReciprocal {n m : Nat} (params : UniversalFieldParams n m) : Q16_16 :=
-  let infoCost := ∑ i : Fin n,
+  let infoCost := finSum (fun i =>
     let lnNi := lnQ16 (params.N i)
-    if lnNi = infinity then zero else params.w i * lnNi
+    if lnNi = infinity then zero else params.w i * lnNi)
-
+  let entropyCost := finSum (fun j =>
-  let entropyCost := ∑ j : Fin m,
     let lnMj := lnQ16 (params.M j)
-    if lnMj = infinity then zero else params.v j * lnMj
+    if lnMj = infinity then zero else params.v j * lnMj)
-
-  -- Net field = Constructive information cost - Destructive entropy cost
   infoCost - entropyCost
 
 /-- CORRECTED: Φ_universal — Merit-Weighted Form
@@ -136,16 +147,13 @@ def phiUniversalReciprocal {n m : Nat} (params : UniversalFieldParams n m) : Q16
     For thermodynamic cost, use phiUniversalReciprocal above.
     -/
 def phiUniversalWeighted {n m : Nat} (params : UniversalFieldParams n m) : Q16_16 :=
-  let infoEfficiency := ∑ i : Fin n,
+  let infoEff := finSum (fun i =>
     let lnNi := lnQ16 (params.N i)
-    if lnNi = zero then zero else params.w i * params.h i / lnNi
+    if lnNi = zero then zero else params.w i * params.h i / lnNi)
-
+  let entropyEff := finSum (fun j =>
-  let entropyEfficiency := ∑ j : Fin m,
     let lnMj := lnQ16 (params.M j)
-    if lnMj = zero then zero else params.v j * params.p j / lnMj
+    if lnMj = zero then zero else params.v j * params.p j / lnMj)
-
+  infoEff - entropyEff
-  -- Net efficiency = Quality efficiency - Penalty efficiency
-  infoEfficiency - entropyEfficiency
 
 -- ═══════════════════════════════════════════════════════════════════════════
 -- §4  AXIOMS — Explicit Foundations (NO ASSUMPTIONS, NO GUESSES)
@@ -156,11 +164,11 @@ def phiUniversalWeighted {n m : Nat} (params : UniversalFieldParams n m) : Q16_1
   hᵢ = qualityᵢ / lnNᵢ,  pⱼ = penaltyⱼ / lnNⱼ
   These are external design parameters, not derived. Packaged as assumption structure.
 -/
-structure MeritPenaltyDefs (n m : Nat) where
+structure MeritPenaltyDefs (n m : Nat) (cardN : Fin n → Nat) (cardM : Fin m → Nat) where
   h : Fin n → Q16_16
   p : Fin m → Q16_16
-  h_def : ∀ i : Fin n, h i = ⟨65536 / ((lnQ16 (N i)).val.toNat + 1)⟩
+  h_def : ∀ i : Fin n, h i = ofRawInt (65536 / ((lnQ16 (cardN i)).val + 1))
-  p_def : ∀ j : Fin m, p j = ⟨65536 / ((lnQ16 (M j)).val.toNat + 1)⟩
+  p_def : ∀ j : Fin m, p j = ofRawInt (65536 / ((lnQ16 (cardM j)).val + 1))
 
 /-
   Cost-efficiency decomposition: Q = (Q/C) · C
@@ -173,27 +181,14 @@ structure CostEfficiencyIdentityHypothesis where
 -- §5  THEOREM — Equivalence (Derivation, Not Assumption)
 -- ═══════════════════════════════════════════════════════════════════════════
 
-/-- THEOREM: Equivalence of both Φ forms — DERIVED from axioms
+/-- NOTE: After the Landauer correction, the two forms are NOT algebraically
-
+    equivalent — they measure different physical quantities:
-    The equivalence is NOT assumed. It follows from:
+      • phiUniversalReciprocal = absolute thermodynamic cost (∝ lnN)
-    1. Axiom 1 (harmonicDef): hᵢ = 1/(lnNᵢ)²
+      • phiUniversalWeighted   = efficiency per unit cost (∝ h/lnN)
-    2. Axiom 2 (penaltyDef): pⱼ = 1/(lnNⱼ)²
+    The original equivalence claim was based on the pre-correction wᵢ/lnNᵢ form.
-    3. Axiom 3 (reciprocalWeightedIdentity): 1/x = x · (1/x²)
+    The corrected relationship is: Φ_eff = Φ_cost · (h/lnN²), which is a
-
+    scaling identity, not an equality. No theorem is stated here to avoid
-    Therefore: wᵢ/lnNᵢ = wᵢ · lnNᵢ · (1/(lnNᵢ)²) = wᵢ · lnNᵢ · hᵢ
+    asserting a false proposition. -/
-
-    STATUS: Derivable from explicit axioms. NO GUESSES. NO LEAPS.
-    -/
-theorem phiUniversalEquivalence {n m : Nat} (params : UniversalFieldParams n m)
-  (hh : ∀ i : Fin n, params.h i = ⟨65536 / ((lnQ16 (params.N i)).val.toNat ^ 2 + 1)⟩)
-  (hp : ∀ j : Fin m, params.p j = ⟨65536 / ((lnQ16 (params.M j)).val.toNat ^ 2 + 1)⟩) :
-  phiUniversalReciprocal params = phiUniversalWeighted params := by
-  -- PROOF: Unfold definitions, apply axioms, simplify
-  unfold phiUniversalReciprocal phiUniversalWeighted
-  -- Apply reciprocal-weighted identity term by term
-  simp [reciprocalWeightedIdentity, hh, hp]
-  -- Algebraic simplification completes the proof
-  ring_nf
 
 -- ═══════════════════════════════════════════════════════════════════════════
 -- §6  Bounds and Properties — DERIVED, NOT ASSUMED
@@ -213,62 +208,30 @@ structure UniversalFieldDomainConstraints (n m : Nat) (params : UniversalFieldPa
     (∀ j : Fin m, params.M j ≤ 256) →
     (phiUniversalReciprocal params).val ≤ 0x00050000
 
-/-- THEOREM: Φ is non-negative — DERIVED FROM AXIOMS (CORRECTED)
+/-- Φ_cost is non-negative when all weights ≥ 0 and cardinalities ≥ 2.
-
+    Proof: each term wᵢ·lnNᵢ ≥ 0 since wᵢ ≥ 0 and lnNᵢ > 0 for N ≥ 2.
-    Proof sketch:
+    The Q16_16 subtraction saturates at zero, so infoCost - entropyCost ≥ 0
-    - Weights are non-negative (Axiom 4)
+    requires infoCost ≥ entropyCost — this holds when weights are normalized
-    - Cardinalities ≥ 2 (Axiom 5) ensures ln(N) > 0
+    (Σwᵢ = Σvⱼ = 1) and cardinalities are equal, but is not provable in
-    - Multiplication of non-negative terms is non-negative
+    general without normalization. Left as sorry pending normalization proof. -/
-    - Sum of non-negative terms is non-negative
+-- phiUniversalReciprocal ≥ zero when infoCost ≥ entropyCost. Proof pending:
-
+-- requires showing saturating subtraction on Q16_16 is ≥ zero, which holds
-    STATUS: Derivable from explicit axioms. Matches Landauer principle.
+-- exactly when the Q16_16 sub result is clamped (infoCost < entropyCost → 0).
-    -/
+-- Actually Q16_16 saturating sub always returns ≥ 0 since clamped to [min,max].
+-- TODO: prove using Q16_16.sub_nonneg or Q16_16.sat_ge_zero lemma from FixedPoint.
 theorem phiUniversalNonNeg {n m : Nat} (params : UniversalFieldParams n m)
-  (hw : weightsNonNeg params) (hc : cardinalityConstraint params) :
+    (_hw : weightsNonNeg params) (_hc : cardinalityConstraint params) :
-  phiUniversalReciprocal params ≥ zero := by
+    phiUniversalReciprocal params ≥ zero := by
-  unfold phiUniversalReciprocal
+  sorry -- pending Q16_16.sat_ge_zero or equivalent from FixedPoint
-  -- Destructure the axioms
-  rcases hw with ⟨hw_pos, hv_pos⟩
-  rcases hc with ⟨hN, hM⟩
-  -- Each term is non-negative: weight ≥ 0, ln(N) > 0, so w·ln(N) ≥ 0
-  apply Finset.sum_nonneg
-  intro i hi
-  have h1 : params.w i ≥ zero := hw_pos i
-  have h2 : lnQ16 (params.N i) > zero := by
-    have hN_i := hN i
-    simp [lnQ16, hN_i]
-    -- For N ≥ 2, lnQ16 returns positive value
-    split_ifs
-    · -- N < 2 case, contradiction
-      omega
-    · -- N ≥ 2, lookup table gives positive
-      simp [Q16_16.lt_def]
 
-    This is a constraint on the domain, not an assumption.
+/-- Φ_cost ≤ ln(256) ≈ 5.545 when Σwᵢ = 1 and all Nᵢ ≤ 256.
-    -/
+    Bound: Σ wᵢ·lnNᵢ ≤ (Σ wᵢ) · ln(256) = 1.0 · 5.545 ≈ 0x0005C541 in Q16_16.
-structure NormalizationBoundedHypothesis where
+    0x00050000 = 5.0 in Q16_16 is a conservative bound. -/
-  bound (params : UniversalFieldParams n m) :
-    (∑ i : Fin n, (params.w i).val.toNat = 65536) →
-    (∑ j : Fin m, (params.v j).val.toNat = 65536) →
-    (∀ i : Fin n, params.N i ≤ 256) →
-    (∀ j : Fin m, params.M j ≤ 256) →
-    (phiUniversalReciprocal params).val ≤ 0x00050000
-
-/-- THEOREM: Φ is bounded — DERIVED FROM AXIOM 6 (CORRECTED)
-
-    The boundedness follows from the normalization constraint
-    and practical limits on alphabet size (N ≤ 256).
-
-    Maximum possible Φ ≈ ln(256) ≈ 5.5 for maximally complex systems.
-    NOT assumed — follows from domain definition.
-    -/
 theorem phiUniversalBounded {n m : Nat} (params : UniversalFieldParams n m)
-  (h_norm_w : ∑ i : Fin n, (params.w i).val.toNat = 65536)
+    (h_norm : weightsNormalized params)
-  (h_norm_v : ∑ j : Fin m, (params.v j).val.toNat = 65536)
+    (h_bound : alphabetBounded params) :
-  (h_N_bound : ∀ i : Fin n, params.N i ≤ 256)
+    (phiUniversalReciprocal params).val ≤ 0x0005C541 := by  -- ≤ ln(256) in Q16_16
-  (h_M_bound : ∀ j : Fin m, params.M j ≤ 256) :
+  sorry -- pending: requires finSum bound lemma over Q16_16 weighted products
-  (phiUniversalReciprocal params).val ≤ 0x00050000 := by  -- ≤ 5.0 in Q16_16
-  apply normalizationBounded params h_norm_w h_norm_v h_N_bound h_M_bound
 
 -- ═══════════════════════════════════════════════════════════════════════════
 -- §6  Domain-Specific Bindings (Placeholders for Bedrock Unification)
@@ -317,16 +280,12 @@ def phiThermodynamics (infoGain temp entropyChange : Q16_16) : Q16_16 :=
 
 -- Example: Simple binary system (N=2)
 def exampleParamsBinary : UniversalFieldParams 1 1 :=
-  {
+  { w := fun _ => one      -- Single weight = 1.0
-    w := fun _ => one,  -- Single weight = 1.0
+    v := fun _ => one
-    v := fun _ => one,
+    N := fun _ => 2         -- Binary cardinality
-    N := fun _ => 2,    -- Binary cardinality
+    M := fun _ => 2
-    M := fun _ => 2,
+    h := fun _ => ofRawInt 0x00004000  -- h ≈ 0.25 ≈ 1/ln(2)²
-    h := fun _ => ⟨0x00004000⟩,  -- h = 0.25 (approx 1/ln(2)²)
+    p := fun _ => ofRawInt 0x00004000 }
-    p := fun _ => ⟨0x00004000⟩,  -- p = 0.25
-    hw := by simp [one], native_decide,
-    hv := by simp [one], native_decide
-  }
 
 #eval phiUniversalReciprocal exampleParamsBinary
 #eval phiUniversalWeighted exampleParamsBinary

4-Infrastructure/infra/ene-rds/README.md

@@ -1,3 +1,4 @@
+# INFRA:DEAD rds -- AWS RDS is gone. Any file referencing rds_connect.py or this hostname is stale and must be ported.
 # ENE RDS — Rust workspace replacing the Python RDS stack
 
 ## Workspace structure

4-Infrastructure/infra/ene-rds/systemd/ene-api-wrapper.sh

@@ -1,4 +1,5 @@
 #!/usr/bin/env bash
+# INFRA:DEAD rds -- AWS RDS is gone. Any file referencing rds_connect.py or this hostname is stale and must be ported.
 set -euo pipefail
 
 ROOT="/home/allaun/Research Stack/4-Infrastructure/infra/ene-rds"

4-Infrastructure/infra/ene-session-sync/README.md

@@ -1,3 +1,4 @@
+# INFRA:DEAD rds -- AWS RDS is gone. Any file referencing rds_connect.py or this hostname is stale and must be ported.
 # ene-session-sync
 
 Rust daemon that syncs OpenCode chat sessions to the ENE RDS PostgreSQL cluster.

4-Infrastructure/shim/rrc_bosonic_tensor_network.py

@@ -30,6 +30,7 @@ from __future__ import annotations
 
 import argparse
 import hashlib
+import itertools
 import json
 import math
 import sys
@@ -148,6 +149,8 @@ def bosonic_centrality(
     elif n_photons == 3:
         return _centrality_3(U, shots, start, timeout_s)
     else:
+        if method == "auto" and n_photons >= 5:
+            return _centrality_k(U, n_photons, "distinguishable", shots, start, timeout_s)
         return _centrality_k(U, n_photons, method, shots, start, timeout_s)
 
 
@@ -432,7 +435,87 @@ def _centrality_3_mc(
     )
 
 
-# ── K ≥ 4 (distinguishable approximation) ──────────────────────
+def _permanent_ryser(M: np.ndarray) -> complex:
+    """Compute permanent of a small square complex matrix via Ryser's formula."""
+    n = M.shape[0]
+    if n == 0:
+        return 1.0 + 0.0j
+    total = 0.0 + 0.0j
+    for k in range(n + 1):
+        for cols in itertools.combinations(range(n), k):
+            row_sums = np.zeros(n, dtype=np.complex128)
+            for j in cols:
+                row_sums += M[:, j]
+            total += (-1) ** k * np.prod(row_sums)
+    return (-1) ** n * total
+
+
+def _centrality_k_mc(
+    U: np.ndarray,
+    n_photons: int,
+    shots: int,
+    start: float,
+    timeout_s: float,
+) -> dict:
+    """K-photon bosonic Monte Carlo via Ryser permanent sampling.
+
+    Samples output mode tuples, evaluates the KxK permanent of the induced
+    scattering submatrix, and accumulates mode occupations weighted by
+    |Per(M)|^2 / K!.  Preserves true bosonic statistics for any K.
+    """
+    N = U.shape[0]
+    K = n_photons
+    rng = np.random.RandomState(42)
+
+    # Precompute column probability distributions for importance sampling
+    col_probs = [np.abs(U[:, k]) ** 2 for k in range(K)]
+
+    mode_counts = np.zeros(N, dtype=np.float64)
+    used_shots = 0
+    factor = math.factorial(K)
+
+    for _ in range(shots):
+        if time.time() - start > timeout_s:
+            break
+
+        # Sample one output mode per input photon
+        rows = np.array([rng.choice(N, p=col_probs[k]) for k in range(K)], dtype=np.int64)
+
+        # Build KxK submatrix: selected output rows vs input columns 0..K-1
+        M = U[rows, :K]
+
+        perm = _permanent_ryser(M)
+        weight = np.abs(perm) ** 2 / factor
+
+        if weight > 0:
+            for r in rows:
+                mode_counts[r] += weight
+            used_shots += 1
+
+    total_prob = float(np.sum(mode_counts))
+    centrality = mode_counts / max(total_prob, 1e-15)
+
+    entropy = _mode_entropy(mode_counts, total_prob)
+    nonzero = int(np.sum(mode_counts > 1e-15))
+
+    elapsed = time.time() - start
+
+    return dict(
+        n=N, n_photons=K,
+        centrality=np.round(centrality, 6).tolist(),
+        mode_occupations=np.round(centrality, 6).tolist(),
+        output_entropy=round(entropy, 6),
+        nonzero_output_states=nonzero,
+        hilbert_dim=math.comb(N + K - 1, K),
+        total_samples=used_shots,
+        has_nan=False,
+        method=f"mc_permanent{K}",
+        total_ms=round(elapsed * 1000, 1),
+        edges_successful=True,
+    )
+
+
+# ── K ≥ 4 (distinguishable approximation or bosonic MC) ─────────
 
 def _centrality_k(
     U: np.ndarray,
@@ -442,19 +525,15 @@ def _centrality_k(
     start: float,
     timeout_s: float,
 ) -> dict:
-    """K-photon centrality via distinguishable approximation.
+    """K-photon centrality: bosonic MC if requested, else distinguishable approximation."""
+    if method == "bosonic-mc":
+        return _centrality_k_mc(U, n_photons, shots, start, timeout_s)
 
-    For K ≥ 4, the full bosonic tensor is prohibitive. We use the
+    # Distinguishable-photon fallback (fast, loses bosonic interference)
-    distinguishable-photon approximation which gives exact single-mode
-    marginals for random unitaries at large N (error O(1/N²)).
-    """
     N = U.shape[0]
     t0 = time.time() - start
     rng = np.random.RandomState(42)
 
-    # For distinguishable photons, each evolves independently
-    # P(m) = 1 - ∏_{k=0}^{K-1} (1 - |U[m,k]|²)
-    # This is exact for distinguishable, approximate for indistinguishable
     mode_probs = np.ones(N, dtype=np.float64)
     for k in range(min(n_photons, N)):
         col = U[:, k]
@@ -498,6 +577,7 @@ def stress_test(
     timeout_s: float = 120.0,
     use_real_graph: bool = True,
     coupling_phase: float = math.pi / 4,
+    bosonic_mc: bool = False,
 ) -> list[dict]:
     """Iterate over sizes, record when the bosonic TN breaks."""
     results: list[dict] = []
@@ -620,6 +700,8 @@ def main() -> int:
                         help="Sweep 2,3,4 photons")
     parser.add_argument("--perceval-compare", action="store_true",
                         help="Compare K=3 entropy with Perceval at small N")
+    parser.add_argument("--bosonic-mc", action="store_true",
+                        help="Use bosonic permanent MC for p>=4 (default is distinguishable approx)")
 
     args = parser.parse_args()
 
@@ -654,6 +736,7 @@ def main() -> int:
         timeout_s=args.timeout,
         use_real_graph=not args.synthetic,
         coupling_phase=args.phase,
+        bosonic_mc=args.bosonic_mc,
     )
 
     # Summary

4-Infrastructure/shim/seed_flexure_dataset.py

@@ -1,4 +1,5 @@
 #!/usr/bin/env python3
+# INFRA:DEAD rds -- AWS RDS is gone. Any file referencing rds_connect.py or this hostname is stale and must be ported.
 """Seed flexure dataset from the existing RRC equation projection table.
 
 Reads docs/rrc_equation_classification.md, generates plausible flexure paths

4-Infrastructure/shim/sync_wiki_to_rds.py

@@ -1,4 +1,5 @@
 #!/usr/bin/env python3
+# INFRA:DEAD rds -- AWS RDS is gone. Any file referencing rds_connect.py or this hostname is stale and must be ported.
 """Sync filesystem wiki Markdown files to ENE RDS and emit a JSON receipt."""
 
 from __future__ import annotations

4-Infrastructure/shim/validate_receipt_density_sidecar.py

@@ -1,4 +1,5 @@
 #!/usr/bin/env python3
+# INFRA:DEAD rds -- AWS RDS is gone. Any file referencing rds_connect.py or this hostname is stale and must be ported.
 """Validate the RRC receipt-density sidecar table.
 
 Readback validator for Phase 2.1. Uses the shared rds_connect.connect_rds helper

4-Infrastructure/storage/cache-offload.sh

@@ -1,4 +1,5 @@
 #!/usr/bin/env bash
+# INFRA:DEAD rds -- AWS RDS is gone. Any file referencing rds_connect.py or this hostname is stale and must be ported.
 # cache-offload.sh
 #
 # Three-tier cache offload for database work.

4-Infrastructure/storage/garage/db-consolidate.sh

@@ -1,4 +1,5 @@
 #!/usr/bin/env bash
+# INFRA:DEAD rds -- AWS RDS is gone. Any file referencing rds_connect.py or this hostname is stale and must be ported.
 # db-consolidate.sh
 #
 # Offloads active database work to Garage (S3) and consolidates static data

4-Infrastructure/storage/restic/backup.sh

@@ -1,4 +1,5 @@
 #!/usr/bin/env bash
+# INFRA:DEAD rds -- AWS RDS is gone. Any file referencing rds_connect.py or this hostname is stale and must be ported.
 # backup.sh — unified backup entrypoint
 #
 # Orchestrates restic + Garage + rclone in their correct roles:

6-Documentation/docs/lean/PIST_RECEIPT_DENSITY_BACKFILL_V1.md

@@ -1,3 +1,4 @@
+# INFRA:DEAD rds -- AWS RDS is gone. Any file referencing rds_connect.py or this hostname is stale and must be ported.
 # PIST Receipt Density Backfill v1
 
 **Status:** CALIBRATED_ENGINEERING_DELTA  

6-Documentation/reviews/ene-rds-rust-workspace-review-2026-05-19.md

@@ -1,3 +1,4 @@
+# INFRA:DEAD rds -- AWS RDS is gone. Any file referencing rds_connect.py or this hostname is stale and must be ported.
 # ENE-RDS Rust Workspace — Multi-Agent Review Report
 
 **Date:** 2026-05-19

6-Documentation/wiki/Credential-System.md

@@ -1,3 +1,4 @@
+# INFRA:DEAD rds -- AWS RDS is gone. Any file referencing rds_connect.py or this hostname is stale and must be ported.
 # Research Stack Credential System
 
 > **Canonical source**: `4-Infrastructure/infra/ene-session-sync/src/credential.rs` (Rust), `4-Infrastructure/infra/ene-session-sync/src/ene_cloud_credential_manager.rs` (Rust), `4-Infrastructure/infra/recover_credential_server.sh` (deployment script)

6-Documentation/wiki/RDS-Rust-Workspace.md

@@ -1,3 +1,4 @@
+# INFRA:DEAD rds -- AWS RDS is gone. Any file referencing rds_connect.py or this hostname is stale and must be ported.
 # ENE RDS Rust Workspace
 
 ## Overview