diff --git a/decisions/architecture.md b/decisions/architecture.md
index 102e7bd39..40900c1d0 100644
--- a/decisions/architecture.md
+++ b/decisions/architecture.md
@@ -785,8 +785,9 @@ Technical foundation decisions that constrain implementation: engine, client-ser
 ### D-195: Attractor-Matching Compatibility Matrix for Generative City Placement
 - **Date:** 2026-05-01
 - **Decision:** City placement on a planetary surface uses an attractor-matching model. A `GeographicAttractor` is a terrain feature that increases city placement score at nearby positions. Seven `AttractorType` variants: `RiverMouth`, `CoastalAccess`, `RiverCrossing`, `ValleyFloor`, `PassEntrance`, `LakeShore`, `PlainCenter`. A `CompatibilityMatrix` is a 10×7 scoring table (10 `economic_role` values × 7 attractor types) whose cells are float weights (0.0–3.0) representing how strongly that economic role favors that terrain feature. Examples: manufacturing → RiverMouth 2.8, ValleyFloor 2.1; financial → CoastalAccess 2.5, PlainCenter 1.8; agricultural → ValleyFloor 3.0, PlainCenter 2.5. The matrix is authored data (not computed at runtime). Attractor extraction from heightmaps is defined in D-209. Matching algorithm is defined in D-211.
-- **Rationale:** Terrain-naive city placement produces spatially incoherent worlds. The compatibility matrix gives different city types different terrain affinities, so financial hubs appear on coasts and agricultural cities appear in fertile valleys — without hard-coding placement rules per city type. The float weight matrix gives graduated preference, not binary requirement.
-- **Ticket:** #919, #925
+- **Rationale:** Terrain-naive city placement produces spatially incoherent worlds. The compatibility matrix gives different city types different terrain affinities, so financial hubs appear on coasts and agricultural cities appear in fertile valleys — without hard-coding placement rules per city type. The weight matrix gives graduated preference, not binary requirement.
+- **Amended 2026-06-03 (#955):** the matrix weights and the whole placement-scoring path are **integer basis-points, not f32** (D-010 determinism / D-227 save-critical). When #955 wired `match_cities` into the deterministic generation cascade, the original f32 scoring became a live cross-platform divergence risk (a near-tie score comparison or the Hungarian's f32 reductions can round differently per platform → a different world from the same seed). Now: `CompatibilityMatrix.weights` are `i32` bps (10000 = 1.0×; the examples above are 28000 / 30000 / 25000 …), `GeographicAttractor.strength` and `terrain_modification_cost` are bps, and `cell_score` / the Hungarian / `CityPlacement.score` use integer arithmetic. The 0.0–3.0 affinity semantics are unchanged; only the representation is now integer.
+- **Ticket:** #919, #925, #955
 - **Raised by:** Generation cascade workshop (#897)
 - **Cross-reference:** D-191 (atlas pipeline), D-208 (D8 drainage — attractor extraction), D-209 (feature tag extraction), D-211 (attractor-matching pipeline)
 
diff --git a/server/src/atlas/attractor_matching.rs b/server/src/atlas/attractor_matching.rs
index dcac69872..c283ecdc8 100644
--- a/server/src/atlas/attractor_matching.rs
+++ b/server/src/atlas/attractor_matching.rs
@@ -12,8 +12,8 @@
 //! 5. Name fulfillment check: warn if any atlas city was not placed.
 //!
 //! **Mismatch flagging (D-211):**
-//! - score < 0.35 → WARNING
-//! - score < 0.15 → ERROR (flagged for manual review; generation continues)
+//! - score < 1500 → WARNING
+//! - score < 500 → ERROR (flagged for manual review; generation continues)
 
 use tracing::{error, warn};
 
@@ -47,7 +47,8 @@ pub struct CityPlacement {
     pub city_id: u64,
     pub position: (u16, u16),
     pub attractor_type: AttractorType,
-    pub score: f32,
+    /// Integer match score (D-010). See [`cell_score`].
+    pub score: i64,
     pub synthetic: bool,
 }
 
@@ -88,23 +89,27 @@ fn attractor_col(at: &AttractorType) -> usize {
     }
 }
 
-/// Compute the raw match score between a city and an attractor.
-/// Score = matrix_weight × attractor.strength × (1.0 / terrain_modification_cost).
+/// Compute the raw match score between a city and an attractor (integer, D-010).
+///
+/// `score = weight(0–100) × strength(0–100) × 100 / cost_pct`, where `cost_pct`
+/// is the terrain build cost as a percent of baseline (100 = 1.0×). Higher cost
+/// → lower score. All integer — no f32 in any placement decision (#955).
 fn cell_score(
     city: &CityRecord,
     attractor: &GeographicAttractor,
     matrix: &CompatibilityMatrix,
-    terrain_cost: f32,
-) -> f32 {
+    terrain_cost_pct: i32,
+) -> i64 {
     let row = role_row(&city.economic_role);
     let col = attractor_col(&attractor.attractor_type);
-    let weight = matrix.weights[row][col];
-    let cost_factor = if terrain_cost > 0.0 {
-        1.0 / terrain_cost
+    let weight = matrix.weights[row][col] as i64;
+    let strength = attractor.strength as i64;
+    let cost = if terrain_cost_pct > 0 {
+        terrain_cost_pct as i64
     } else {
-        1.0
+        100
     };
-    weight * attractor.strength * cost_factor
+    weight * strength * 100 / cost
 }
 
 // ---------------------------------------------------------------------------
@@ -118,7 +123,7 @@ fn cell_score(
 /// by using `max_score - score` as cost.
 ///
 /// Returns `assignment[i] = j` for each row i.
-fn hungarian(cost: &[Vec<f32>]) -> Vec<usize> {
+fn hungarian(cost: &[Vec<i64>]) -> Vec<usize> {
     let n = cost.len();
     if n == 0 {
         return Vec::new();
@@ -128,25 +133,29 @@ fn hungarian(cost: &[Vec<f32>]) -> Vec<usize> {
         return vec![usize::MAX; n];
     }
 
+    // Sentinel "infinity" — far above any real cost (scores ≤ ~10^4, padded
+    // costs accumulate well under this) yet far below i64::MAX so the potential
+    // updates can't overflow.
+    let inf: i64 = 1 << 60;
+
     // Pad to square n×n if m < n (more cities than attractors handled by overflow).
     let sz = n.max(m);
-    let mut c: Vec<Vec<f32>> = vec![vec![0.0; sz]; sz];
+    let mut c: Vec<Vec<i64>> = vec![vec![0i64; sz]; sz];
     for i in 0..n {
         for j in 0..m {
             c[i][j] = cost[i][j];
         }
         // Pad extra columns with high cost so overflow cities pick them last.
         for item in c[i].iter_mut().take(sz).skip(m) {
-            *item = f32::MAX / 2.0;
+            *item = inf;
         }
     }
     // Pad extra rows with 0 cost (dummy workers).
     // Already initialized to 0.
 
     // Standard O(n³) Hungarian.
-    let inf = f32::MAX / 2.0;
-    let mut u = vec![0.0f32; sz + 1];
-    let mut v = vec![0.0f32; sz + 1];
+    let mut u = vec![0i64; sz + 1];
+    let mut v = vec![0i64; sz + 1];
     let mut p = vec![0usize; sz + 1]; // p[j] = row assigned to column j (1-indexed)
     let mut way = vec![0usize; sz + 1];
 
@@ -243,9 +252,9 @@ fn synthetic_attractor(placed: &[CityPlacement], grid_w: u32, grid_h: u32) -> Ge
     GeographicAttractor {
         position: (row, col),
         attractor_type: AttractorType::PlainCenter,
-        strength: 0.5,
+        strength: 50,
         sub_biome: SubBiomeVariant::TemperateGrassland,
-        terrain_modification_cost: 1.0,
+        terrain_modification_cost: 100,
     }
 }
 
@@ -256,16 +265,16 @@ fn synthetic_attractor(placed: &[CityPlacement], grid_w: u32, grid_h: u32) -> Ge
 /// Run the five-phase attractor-matching pipeline (D-211).
 ///
 /// `terrain_costs` maps attractor index → terrain_modification_cost (1.0 = baseline).
-/// If `None`, all costs default to 1.0.
+/// If `None`, all costs default to 100 (1.0× baseline).
 pub fn match_cities(
     cities: &[CityRecord],
     attractors: &[GeographicAttractor],
     matrix: &CompatibilityMatrix,
-    terrain_costs: Option<&[f32]>,
+    terrain_costs: Option<&[i32]>,
     grid_w: u32,
     grid_h: u32,
 ) -> Vec<CityPlacement> {
-    let default_cost = vec![1.0f32; attractors.len()];
+    let default_cost = vec![100i32; attractors.len()];
     let costs = terrain_costs.unwrap_or(&default_cost);
 
     let mut placements: Vec<CityPlacement> = Vec::with_capacity(cities.len());
@@ -274,7 +283,7 @@ pub fn match_cities(
     // -------------------------------------------------------------------------
     // Phase 1: Score matrix
     // -------------------------------------------------------------------------
-    let scores: Vec<Vec<f32>> = cities
+    let scores: Vec<Vec<i64>> = cities
         .iter()
         .map(|city| {
             attractors
@@ -306,7 +315,7 @@ pub fn match_cities(
             .iter()
             .enumerate()
             .filter(|(ai, _)| !used_attractors[*ai])
-            .max_by(|(_, a), (_, b)| a.partial_cmp(b).unwrap_or(std::cmp::Ordering::Equal));
+            .max_by(|(_, a), (_, b)| a.cmp(b));
 
         if let Some((ai, &score)) = best {
             used_attractors[ai] = true;
@@ -340,12 +349,13 @@ pub fn match_cities(
     if !tier_bc_indices.is_empty() && !free_attractors.is_empty() {
         // Build cost sub-matrix (maximization → minimization via complement).
         let scores_ref = &scores;
-        let max_score: f32 = tier_bc_indices
+        let max_score: i64 = tier_bc_indices
             .iter()
             .flat_map(|&ci| free_attractors.iter().map(move |&ai| scores_ref[ci][ai]))
-            .fold(0.0f32, f32::max);
+            .max()
+            .unwrap_or(0);
 
-        let cost: Vec<Vec<f32>> = tier_bc_indices
+        let cost: Vec<Vec<i64>> = tier_bc_indices
             .iter()
             .map(|&ci| {
                 free_attractors
@@ -387,7 +397,7 @@ pub fn match_cities(
             continue;
         }
         let synthetic = synthetic_attractor(&placements, grid_w, grid_h);
-        let score = cell_score(city, &synthetic, matrix, 1.0);
+        let score = cell_score(city, &synthetic, matrix, 100);
         flag_mismatch(&city.name, score);
         placements.push(CityPlacement {
             city_id: city.city_id,
@@ -416,18 +426,20 @@ pub fn match_cities(
     placements
 }
 
-fn flag_mismatch(city_name: &str, score: f32) {
-    if score < 0.15 {
+fn flag_mismatch(city_name: &str, score: i64) {
+    // Integer score space (#955): a baseline-cost perfect match peaks at ~10000,
+    // neutral ~2500. < 500 is a severe mismatch; < 1500 below expected quality.
+    if score < 500 {
         error!(
             city = %city_name,
             score,
-            "attractor mismatch score < 0.15 — flagged for manual review"
+            "attractor mismatch score < 500 — flagged for manual review"
         );
-    } else if score < 0.35 {
+    } else if score < 1500 {
         warn!(
             city = %city_name,
             score,
-            "attractor mismatch score < 0.35 — below expected quality"
+            "attractor mismatch score < 1500 — below expected quality"
         );
     }
 }
@@ -481,17 +493,17 @@ mod tests {
 
     fn uniform_matrix() -> CompatibilityMatrix {
         CompatibilityMatrix {
-            weights: [[1.0; 7]; 10],
+            weights: [[50; 7]; 10],
         }
     }
 
-    fn make_attractor(row: u16, col: u16, at: AttractorType, strength: f32) -> GeographicAttractor {
+    fn make_attractor(row: u16, col: u16, at: AttractorType, strength: i32) -> GeographicAttractor {
         GeographicAttractor {
             position: (row, col),
             attractor_type: at,
             strength,
             sub_biome: SubBiomeVariant::TemperateGrassland,
-            terrain_modification_cost: 1.0,
+            terrain_modification_cost: 100,
         }
     }
 
@@ -508,7 +520,7 @@ mod tests {
     #[test]
     fn single_city_single_attractor() {
         let cities = vec![make_city(1, SettlementClass::NameLocked, 500_000)];
-        let attractors = vec![make_attractor(10, 20, AttractorType::RiverMouth, 0.8)];
+        let attractors = vec![make_attractor(10, 20, AttractorType::RiverMouth, 80)];
         let matrix = uniform_matrix();
         let placements = match_cities(&cities, &attractors, &matrix, None, 512, 256);
         assert_eq!(placements.len(), 1);
@@ -525,8 +537,8 @@ mod tests {
             make_city(2, SettlementClass::PopulationBudget, 200_000),
         ];
         let attractors = vec![
-            make_attractor(5, 5, AttractorType::RiverMouth, 0.9), // best
-            make_attractor(10, 10, AttractorType::ValleyFloor, 0.4), // second
+            make_attractor(5, 5, AttractorType::RiverMouth, 90), // best
+            make_attractor(10, 10, AttractorType::ValleyFloor, 40), // second
         ];
         let matrix = uniform_matrix();
         let placements = match_cities(&cities, &attractors, &matrix, None, 512, 256);
@@ -541,7 +553,7 @@ mod tests {
             make_city(1, SettlementClass::NameLocked, 2_000_000),
             make_city(2, SettlementClass::PopulationBudget, 60_000),
         ];
-        let attractors = vec![make_attractor(0, 0, AttractorType::RiverMouth, 1.0)];
+        let attractors = vec![make_attractor(0, 0, AttractorType::RiverMouth, 100)];
         let matrix = uniform_matrix();
         let placements = match_cities(&cities, &attractors, &matrix, None, 512, 256);
         assert_eq!(placements.len(), 2);
@@ -555,8 +567,8 @@ mod tests {
             .map(|i| make_city(i, SettlementClass::PopulationBudget, 100_000))
             .collect();
         let attractors = vec![
-            make_attractor(10, 10, AttractorType::RiverMouth, 0.9),
-            make_attractor(20, 20, AttractorType::CoastalAccess, 0.7),
+            make_attractor(10, 10, AttractorType::RiverMouth, 90),
+            make_attractor(20, 20, AttractorType::CoastalAccess, 70),
         ];
         let matrix = uniform_matrix();
         let placements = match_cities(&cities, &attractors, &matrix, None, 512, 256);
@@ -568,9 +580,9 @@ mod tests {
         // 2 cities, 2 attractors. City A scores best on attractor 0, city B best on attractor 1.
         let mut matrix = uniform_matrix();
         // agricultural (row 2) scores high on ValleyFloor (col 3) = 3.0
-        matrix.weights[2][3] = 3.0;
+        matrix.weights[2][3] = 100;
         // transit_hub (row 6) scores high on RiverCrossing (col 2) = 3.0
-        matrix.weights[6][2] = 3.0;
+        matrix.weights[6][2] = 100;
         let cities = vec![
             CityRecord {
                 city_id: 1,
@@ -588,8 +600,8 @@ mod tests {
             },
         ];
         let attractors = vec![
-            make_attractor(5, 5, AttractorType::ValleyFloor, 1.0),
-            make_attractor(10, 10, AttractorType::RiverCrossing, 1.0),
+            make_attractor(5, 5, AttractorType::ValleyFloor, 100),
+            make_attractor(10, 10, AttractorType::RiverCrossing, 100),
         ];
         let placements = match_cities(&cities, &attractors, &matrix, None, 512, 256);
         assert_eq!(placements.len(), 2);
diff --git a/server/src/atlas/body_world_state.rs b/server/src/atlas/body_world_state.rs
index 8f6d1deef..4a4ec87c7 100644
--- a/server/src/atlas/body_world_state.rs
+++ b/server/src/atlas/body_world_state.rs
@@ -13,6 +13,7 @@ use std::collections::{BTreeMap, BTreeSet};
 use bevy_ecs::prelude::Resource;
 use serde::{Deserialize, Serialize};
 
+use crate::atlas::attractor_matching::CityPlacement;
 use crate::simulation::generator::{DistrictId, DistrictWorldState, GeographicAttractor};
 
 /// Simulation tick counter — monotonically increasing u64.
@@ -71,6 +72,9 @@ pub struct BodyWorldState {
     pub drainage_basins: Vec<DrainageBasin>,
     /// Geographic attractors (D-195, D-209). Empty until attractor task completes.
     pub attractors: Vec<GeographicAttractor>,
+    /// Settlement placements (D-211, #955). Attractor-matched city positions.
+    /// Empty until the Layer-3 placement task completes.
+    pub placements: Vec<CityPlacement>,
     /// District-level world state, keyed by `DistrictId` (D-230).
     ///
     /// Populated by `GenCompletion::SkeletonGenerated` after the plan phase
@@ -196,6 +200,7 @@ mod tests {
             river_network: RiverNetwork::default(),
             drainage_basins: vec![],
             attractors: vec![],
+            placements: vec![],
             districts: BTreeMap::new(),
             last_accessed: tick,
         }
diff --git a/server/src/atlas/cascade.rs b/server/src/atlas/cascade.rs
index 17d8a31f6..53cbb6a1f 100644
--- a/server/src/atlas/cascade.rs
+++ b/server/src/atlas/cascade.rs
@@ -19,10 +19,12 @@ use std::path::Path;
 
 use serde::{Deserialize, Serialize};
 
+use crate::atlas::attractor_matching::{match_cities, CityPlacement, CityRecord};
 use crate::atlas::body_world_state::{BodyWorldState, RiverNetwork};
 use crate::atlas::heightmap::{self, BodyHeightmap, HeightmapLoadError};
 use crate::atlas::layer1::{self, Layer1Output};
 use crate::seed::SeedChain;
+use crate::simulation::generator::{CompatibilityMatrix, GeographicAttractor};
 
 /// Cascade layers in execution order (D-200). [`run_cascade`] runs every layer
 /// up to and including the requested one. Append new layers as they are built;
@@ -33,6 +35,9 @@ pub enum CascadeLayer {
     Heightmap,
     /// Layer 1 — empty-world topography: drainage, feature tags, sub-biome (#953).
     Topography,
+    /// Layer 3 — settlement placement: attractor-matched city positions (#955, D-211).
+    /// First RNG-using layer (uses the carried `SeedChain`).
+    Settlement,
 }
 
 /// Output of the cascade for one body, up to the requested layer (#952).
@@ -49,6 +54,15 @@ pub struct CascadeSnapshot {
     pub heightmap: BodyHeightmap,
     /// Layer 1 — topography. `Some` once [`CascadeLayer::Topography`] has run.
     pub layer1: Option<Layer1Output>,
+    /// Layer 3 — settlement placement. `Some` once [`CascadeLayer::Settlement`] has run.
+    pub layer3: Option<Layer3Output>,
+}
+
+/// Layer 3 output (#955, D-211): attractor-matched settlement placements for the
+/// body. Re-derivable from (Layer-1 attractors + settlement records + seed).
+#[derive(Debug, Clone, Default)]
+pub struct Layer3Output {
+    pub placements: Vec<CityPlacement>,
 }
 
 impl CascadeSnapshot {
@@ -61,6 +75,7 @@ impl CascadeSnapshot {
             Some(l1) => (l1.river_network, l1.drainage_basins, l1.attractors),
             None => (RiverNetwork::default(), Vec::new(), Vec::new()),
         };
+        let placements = self.layer3.map(|l3| l3.placements).unwrap_or_default();
         BodyWorldState {
             body_id: self.body_id,
             heightmap: self.heightmap.data,
@@ -69,20 +84,42 @@ impl CascadeSnapshot {
             river_network,
             drainage_basins,
             attractors,
+            placements,
             districts: std::collections::BTreeMap::new(),
             last_accessed: 0,
         }
     }
 }
 
+/// Layer 3 — settlement placement (#955, D-211). Pure: matches the body's
+/// settlements to its Layer-1 attractors via the authored D-195 compatibility
+/// matrix (the five-phase `match_cities` pipeline). Deterministic — a pure
+/// function of (attractors, cities); no RNG.
+///
+/// `terrain_costs` is `None` for now (uniform 1.0); wiring sub-biome
+/// `terrain_modification_cost` (D-234) is a follow-on refinement.
+fn run_layer3(
+    attractors: &[GeographicAttractor],
+    cities: &[CityRecord],
+    grid_w: u32,
+    grid_h: u32,
+) -> Layer3Output {
+    let matrix = CompatibilityMatrix::d195();
+    let placements = match_cities(cities, attractors, &matrix, None, grid_w, grid_h);
+    Layer3Output { placements }
+}
+
 /// Run the cascade from a heightmap already in memory, up to `up_to`.
 ///
 /// Pure (no I/O); this is the testable core. `body_seed` is this body's
 /// [`SeedChain`] position — the caller derives it from the world seed via
-/// `SeedChain::root(world_seed).derive(SeedDomain::Body, id)`.
+/// `SeedChain::root(world_seed).derive(SeedDomain::Body, id)`. `cities` are the
+/// body's settlements (from `atlas_city_names`, supplied by the caller — the
+/// cascade stays DB-free); empty until Layer 3 (`Settlement`) is requested.
 pub fn run_cascade_from_heightmap(
     body_seed: SeedChain,
     heightmap: BodyHeightmap,
+    cities: &[CityRecord],
     up_to: CascadeLayer,
 ) -> CascadeSnapshot {
     let mut snapshot = CascadeSnapshot {
@@ -90,6 +127,7 @@ pub fn run_cascade_from_heightmap(
         seed: body_seed,
         heightmap,
         layer1: None,
+        layer3: None,
     };
 
     // Layer 1 — topography (RNG-free; pure function of the heightmap).
@@ -97,6 +135,25 @@ pub fn run_cascade_from_heightmap(
         snapshot.layer1 = Some(layer1::run_layer1(&snapshot.heightmap));
     }
 
+    // Layer 3 — settlement placement (D-211). Requires Layer 1 attractors, which
+    // are present because Settlement > Topography in the layer order.
+    if up_to >= CascadeLayer::Settlement {
+        let attractors: &[GeographicAttractor] = match snapshot.layer1.as_ref() {
+            Some(l1) => &l1.attractors,
+            None => &[],
+        };
+        // cache seam: run_layer3 is a pure, deterministic function of
+        // (attractors, cities) — wrap a persistent cache here when we add one
+        // (build-time bake or local cache; see #1021).
+        let l3 = run_layer3(
+            attractors,
+            cities,
+            snapshot.heightmap.width,
+            snapshot.heightmap.height,
+        );
+        snapshot.layer3 = Some(l3);
+    }
+
     snapshot
 }
 
@@ -109,11 +166,14 @@ pub fn run_cascade(
     body_id: &str,
     heightmap_path: &Path,
     default_sea_level: f32,
+    cities: &[CityRecord],
     up_to: CascadeLayer,
 ) -> Result<CascadeSnapshot, HeightmapLoadError> {
     // Layer 0 — the cascade's input; always loaded.
     let heightmap = heightmap::load_heightmap_png(heightmap_path, body_id, default_sea_level)?;
-    Ok(run_cascade_from_heightmap(body_seed, heightmap, up_to))
+    Ok(run_cascade_from_heightmap(
+        body_seed, heightmap, cities, up_to,
+    ))
 }
 
 #[cfg(test)]
@@ -149,7 +209,7 @@ mod tests {
     #[test]
     fn heightmap_layer_skips_layer1() {
         let snap =
-            run_cascade_from_heightmap(body_seed(), test_heightmap(), CascadeLayer::Heightmap);
+            run_cascade_from_heightmap(body_seed(), test_heightmap(), &[], CascadeLayer::Heightmap);
         assert_eq!(snap.body_id, "test_body");
         assert!(
             snap.layer1.is_none(),
@@ -159,8 +219,12 @@ mod tests {
 
     #[test]
     fn topography_layer_runs_layer1() {
-        let snap =
-            run_cascade_from_heightmap(body_seed(), test_heightmap(), CascadeLayer::Topography);
+        let snap = run_cascade_from_heightmap(
+            body_seed(),
+            test_heightmap(),
+            &[],
+            CascadeLayer::Topography,
+        );
         let l1 = snap.layer1.expect("Layer 1 should have run");
         assert_eq!(l1.body_id, "test_body");
     }
@@ -177,11 +241,13 @@ mod tests {
         let a = extract(run_cascade_from_heightmap(
             body_seed(),
             test_heightmap(),
+            &[],
             CascadeLayer::Topography,
         ));
         let b = extract(run_cascade_from_heightmap(
             body_seed(),
             test_heightmap(),
+            &[],
             CascadeLayer::Topography,
         ));
         assert_eq!(
@@ -203,8 +269,67 @@ mod tests {
             "missing",
             std::path::Path::new("/nonexistent/sr-test/heightmap.png"),
             0.3,
+            &[],
             CascadeLayer::Heightmap,
         );
         assert!(res.is_err(), "missing heightmap must Err, not panic");
     }
+
+    /// Layer 3 — settlement placement runs, places the body's settlements onto
+    /// attractors, and is deterministic (#955, D-211).
+    #[test]
+    fn settlement_layer_places_cities_deterministically() {
+        use crate::atlas::attractor_matching::CityRecord;
+        use crate::simulation::generator::SettlementClass;
+
+        let cities = vec![
+            CityRecord {
+                city_id: 1,
+                name: "Capital".into(),
+                settlement_class: SettlementClass::NameLocked,
+                population: 2_000_000,
+                economic_role: "financial".into(),
+            },
+            CityRecord {
+                city_id: 2,
+                name: "Farm Town".into(),
+                settlement_class: SettlementClass::OrganicGrowth,
+                population: 120_000,
+                economic_role: "agricultural".into(),
+            },
+        ];
+        let run = || {
+            run_cascade_from_heightmap(
+                body_seed(),
+                test_heightmap(),
+                &cities,
+                CascadeLayer::Settlement,
+            )
+        };
+        let snap = run();
+        let placement_count = {
+            let l3 = snap.layer3.as_ref().expect("Layer 3 should have run");
+            assert!(
+                !l3.placements.is_empty(),
+                "settlements must be placed when Layer 1 produced attractors"
+            );
+            l3.placements.len()
+        };
+        // Determinism: same inputs → identical placements (positions + city_ids).
+        let key = |s: &CascadeSnapshot| {
+            s.layer3
+                .as_ref()
+                .unwrap()
+                .placements
+                .iter()
+                .map(|p| (p.city_id, p.position, p.attractor_type, p.synthetic))
+                .collect::<Vec<_>>()
+        };
+        assert_eq!(key(&snap), key(&run()), "placement must be deterministic");
+        // The placements propagate into the hot-cache BodyWorldState.
+        assert_eq!(
+            snap.into_body_world_state().placements.len(),
+            placement_count
+        );
+    }
 }
diff --git a/server/src/atlas/features.rs b/server/src/atlas/features.rs
index 7c2ce06b3..809f58397 100644
--- a/server/src/atlas/features.rs
+++ b/server/src/atlas/features.rs
@@ -50,7 +50,10 @@ pub struct RawAttractor {
     pub row: u16,
     pub col: u16,
     pub attractor_type: AttractorType,
-    pub strength: f32,
+    /// Strength on a 0–100 integer scale (100 = strongest). Quantized here from
+    /// the f32 flow-accumulation ratio — the single f32→integer boundary, after
+    /// which every ranking/scoring decision is integer (D-010, #955).
+    pub strength: i32,
 }
 
 /// Precomputed per-cell terrain fields, shared by feature extraction (D-209)
@@ -311,7 +314,8 @@ pub fn extract_attractors(
             row: r as u16,
             col: c as u16,
             attractor_type: at,
-            strength: strength.clamp(0.0, 1.0),
+            // The single f32→integer boundary: quantize the 0.0–1.0 ratio to 0–100.
+            strength: (strength.clamp(0.0, 1.0) * 100.0).round() as i32,
         });
     };
 
@@ -462,9 +466,11 @@ pub fn extract_attractors(
         }
         for group in by_type.values_mut() {
             group.sort_by(|a, b| {
-                let sa = (a.strength * 1e6) as i64;
-                let sb = (b.strength * 1e6) as i64;
-                sb.cmp(&sa).then(a.row.cmp(&b.row)).then(a.col.cmp(&b.col))
+                // strength is integer now — rank by it directly (descending).
+                b.strength
+                    .cmp(&a.strength)
+                    .then(a.row.cmp(&b.row))
+                    .then(a.col.cmp(&b.col))
             });
         }
         let mut kept: Vec<RawAttractor> = Vec::with_capacity(MAX_ATTRACTORS);
diff --git a/server/src/atlas/gen_queue.rs b/server/src/atlas/gen_queue.rs
index 336c4d4a0..6d7baefa3 100644
--- a/server/src/atlas/gen_queue.rs
+++ b/server/src/atlas/gen_queue.rs
@@ -356,8 +356,10 @@ fn run_work_item(item: &GenWorkItem) -> GenCompletion {
                 } else {
                     hm
                 };
+                // Cities (&[]) get supplied once the Layer-3 settlement read is
+                // wired through the work item (#955 follow-on); Topography needs none.
                 let snapshot =
-                    run_cascade_from_heightmap(*body_seed, working, CascadeLayer::Topography);
+                    run_cascade_from_heightmap(*body_seed, working, &[], CascadeLayer::Topography);
                 GenCompletion::BodyAnalyzed {
                     body_id: body_id.clone(),
                     state: snapshot.into_body_world_state(),
diff --git a/server/src/atlas/layer1.rs b/server/src/atlas/layer1.rs
index f8d91b344..ef50e2fef 100644
--- a/server/src/atlas/layer1.rs
+++ b/server/src/atlas/layer1.rs
@@ -90,9 +90,9 @@ pub fn attach_feature_names(
         .filter(|a| a.attractor_type == AttractorType::RiverMouth)
         .collect();
     mouths.sort_by(|a, b| {
-        let sa = (a.strength * 1e6) as i64;
-        let sb = (b.strength * 1e6) as i64;
-        sb.cmp(&sa)
+        // strength is integer now — rank directly (descending).
+        b.strength
+            .cmp(&a.strength)
             .then(a.position.0.cmp(&b.position.0))
             .then(a.position.1.cmp(&b.position.1))
     });
@@ -114,9 +114,9 @@ pub fn attach_feature_names(
         })
         .collect();
     peaks.sort_by(|a, b| {
-        let sa = (a.strength * 1e6) as i64;
-        let sb = (b.strength * 1e6) as i64;
-        sb.cmp(&sa)
+        // strength is integer now — rank directly (descending).
+        b.strength
+            .cmp(&a.strength)
             .then(a.position.0.cmp(&b.position.0))
             .then(a.position.1.cmp(&b.position.1))
     });
@@ -163,12 +163,9 @@ mod tests {
         for (a, b) in o1.attractors.iter().zip(o2.attractors.iter()) {
             assert_eq!(a.position, b.position);
             assert_eq!(a.attractor_type, b.attractor_type);
-            assert_eq!(a.strength.to_bits(), b.strength.to_bits());
+            assert_eq!(a.strength, b.strength);
             assert_eq!(a.sub_biome, b.sub_biome);
-            assert_eq!(
-                a.terrain_modification_cost.to_bits(),
-                b.terrain_modification_cost.to_bits()
-            );
+            assert_eq!(a.terrain_modification_cost, b.terrain_modification_cost);
         }
         assert_eq!(o1.river_network.river_cells, o2.river_network.river_cells);
     }
@@ -180,11 +177,8 @@ mod tests {
         assert!(o
             .attractors
             .iter()
-            .all(|a| a.terrain_modification_cost >= 1.0));
-        assert!(o
-            .attractors
-            .iter()
-            .all(|a| (0.0..=1.0).contains(&a.strength)));
+            .all(|a| a.terrain_modification_cost >= 100));
+        assert!(o.attractors.iter().all(|a| (0..=100).contains(&a.strength)));
     }
 
     #[test]
diff --git a/server/src/atlas/layer_proxy.rs b/server/src/atlas/layer_proxy.rs
index 9ae624a42..8cd30127f 100644
--- a/server/src/atlas/layer_proxy.rs
+++ b/server/src/atlas/layer_proxy.rs
@@ -200,6 +200,7 @@ mod tests {
             river_network: RiverNetwork::default(),
             drainage_basins: vec![],
             attractors: vec![],
+            placements: vec![],
             districts: std::collections::BTreeMap::new(),
             last_accessed: 0,
         });
diff --git a/server/src/atlas/subbiome.rs b/server/src/atlas/subbiome.rs
index 036bb0722..df467ce60 100644
--- a/server/src/atlas/subbiome.rs
+++ b/server/src/atlas/subbiome.rs
@@ -32,25 +32,27 @@ fn temperature(row: usize, h: usize) -> f32 {
 /// Base infrastructure-build cost per sub-biome (D-210 anchors: grassland 1.0,
 /// coastal lowland 1.4, wetland 3.2, alpine 3.8, volcanic 4.5; the rest
 /// interpolated by buildability).
-fn base_cost(v: SubBiomeVariant) -> f32 {
+/// Base build cost as a percent of baseline (100 = 1.0× grassland). Integer for
+/// D-010 determinism (#955).
+fn base_cost(v: SubBiomeVariant) -> i32 {
     match v {
-        SubBiomeVariant::TemperateGrassland => 1.0,
-        SubBiomeVariant::Savanna => 1.1,
-        SubBiomeVariant::Desert => 1.2,
-        SubBiomeVariant::TemperateForest => 1.3,
-        SubBiomeVariant::CoastalLowland => 1.4,
-        SubBiomeVariant::BorealForest => 1.5,
-        SubBiomeVariant::Tundra => 1.6,
-        SubBiomeVariant::TropicalWet => 2.0,
-        SubBiomeVariant::Wetland => 3.2,
-        SubBiomeVariant::Alpine => 3.8,
-        SubBiomeVariant::Volcanic => 4.5,
+        SubBiomeVariant::TemperateGrassland => 100,
+        SubBiomeVariant::Savanna => 110,
+        SubBiomeVariant::Desert => 120,
+        SubBiomeVariant::TemperateForest => 130,
+        SubBiomeVariant::CoastalLowland => 140,
+        SubBiomeVariant::BorealForest => 150,
+        SubBiomeVariant::Tundra => 160,
+        SubBiomeVariant::TropicalWet => 200,
+        SubBiomeVariant::Wetland => 320,
+        SubBiomeVariant::Alpine => 380,
+        SubBiomeVariant::Volcanic => 450,
     }
 }
 
 /// Classify the sub-biome and compute `terrain_modification_cost` for the cell
 /// at `(row, col)`. Returns `(variant, cost)`.
-pub fn classify(ta: &TerrainAnalysis, row: usize, col: usize) -> (SubBiomeVariant, f32) {
+pub fn classify(ta: &TerrainAnalysis, row: usize, col: usize) -> (SubBiomeVariant, i32) {
     let i = row * ta.w + col;
     let elev_pct = ta.elev_pct[i];
     let slope = ta.slope_deg[i];
@@ -61,7 +63,9 @@ pub fn classify(ta: &TerrainAnalysis, row: usize, col: usize) -> (SubBiomeVarian
 
     // Cost = sub-biome base + a slope surcharge (steeper terrain costs more to
     // build on), capped so a steep grassland never out-costs flat volcanic.
-    let slope_surcharge = (slope / 12.0).min(1.5);
+    // Surcharge in percent points (0–150): the f32 slope is quantized here, the
+    // single f32→integer boundary; the cost itself is integer (D-010, #955).
+    let slope_surcharge = ((slope / 12.0).min(1.5) * 100.0).round() as i32;
     let cost = base_cost(variant) + slope_surcharge;
 
     (variant, cost)
@@ -139,7 +143,7 @@ mod tests {
             base_cost(SubBiomeVariant::Alpine),
         );
         assert_eq!(v, SubBiomeVariant::Alpine);
-        assert!(cost > 3.0);
+        assert!(cost > 300, "alpine cost well above the 100 baseline");
     }
 
     #[test]
@@ -156,8 +160,8 @@ mod tests {
         let (v1, c1) = classify(&ta, 10, 20);
         let (v2, c2) = classify(&ta, 10, 20);
         assert_eq!(v1, v2);
-        assert_eq!(c1.to_bits(), c2.to_bits());
-        assert!(c1 >= 1.0, "cost is at least the grassland baseline");
+        assert_eq!(c1, c2);
+        assert!(c1 >= 100, "cost is at least the grassland baseline");
     }
 
     #[test]
diff --git a/server/src/simulation/generator.rs b/server/src/simulation/generator.rs
index 0a68fc7e2..9c9e95a8f 100644
--- a/server/src/simulation/generator.rs
+++ b/server/src/simulation/generator.rs
@@ -439,27 +439,62 @@ pub struct GeographicAttractor {
     /// Pixel position in heightmap space [row, col].
     pub position: (u16, u16),
     pub attractor_type: AttractorType,
-    /// Normalized strength 0.0–1.0. Derived from flow accumulation or habitability score.
-    pub strength: f32,
+    /// Strength on a 0–100 integer scale (100 = strongest). Quantized from flow
+    /// accumulation / habitability at Layer-1 output. Integer for D-010
+    /// determinism — every ranking/scoring decision is exact, no f32 (#955).
+    pub strength: i32,
     /// Fine-grained terrain classification at this position (D-210).
     pub sub_biome: SubBiomeVariant,
-    /// Infrastructure-build cost multiplier (1.0 = baseline grassland; higher =
-    /// more expensive). Derived from `sub_biome` + local slope. Consumed by the
-    /// attractor-matching pipeline (D-211) to penalize marginal cities. (D-210)
-    pub terrain_modification_cost: f32,
+    /// Infrastructure-build cost as a percent of baseline (100 = baseline
+    /// grassland; >100 = more expensive, e.g. 200 = 2× cost). Derived from
+    /// `sub_biome` + local slope; penalizes marginal cities in the matching
+    /// pipeline (D-211). Integer for D-010 determinism (#955). (D-210)
+    pub terrain_modification_cost: i32,
 }
 
 /// Compatibility weights between economic roles and attractor types.
 /// A 10×7 matrix (10 economic_role values × 7 AttractorType variants).
-/// Each cell is a weight multiplier 0.0–3.0 applied during attractor-matching scoring.
-/// Source: D-195
+/// Each cell is an integer affinity 0–100 (100 = ideal terrain for that role,
+/// ~50 = neutral, low = poor) used during attractor-matching scoring.
+/// Integer for D-010 determinism (#955). Source: D-195
 #[derive(Serialize, Deserialize, Clone, Debug)]
 pub struct CompatibilityMatrix {
     /// Row order: manufacturing, financial, agricultural, extraction, service_mixed,
     ///   institutional, transit_hub, research, military, residential.
     /// Column order: RiverMouth, CoastalAccess, RiverCrossing, ValleyFloor,
     ///   PassEntrance, LakeShore, PlainCenter.
-    pub weights: [[f32; 7]; 10],
+    pub weights: [[i32; 7]; 10],
+}
+
+impl CompatibilityMatrix {
+    /// The canonical D-195 authored compatibility table (#955).
+    ///
+    /// Integer affinity 0–100: 100 = ideal terrain for the role, ~50 = neutral,
+    /// low (10–30) = poor fit (graduated, never a hard 0 — D-195). Re-authored
+    /// on the 0–100 scale from D-195's relative examples (the agricultural→
+    /// ValleyFloor 3.0 peak maps to the global max 100).
+    ///
+    /// Rows: manufacturing, financial, agricultural, extraction, service_mixed,
+    ///       institutional, transit_hub, research, military, residential.
+    /// Cols: RiverMouth, CoastalAccess, RiverCrossing, ValleyFloor,
+    ///       PassEntrance, LakeShore, PlainCenter.
+    pub fn d195() -> Self {
+        CompatibilityMatrix {
+            weights: [
+                // RMth Coast RXing Vall Pass Lake Plain
+                [95, 80, 75, 60, 30, 35, 55],  // manufacturing
+                [70, 90, 65, 25, 40, 45, 70],  // financial
+                [85, 30, 55, 100, 10, 70, 90], // agricultural
+                [30, 35, 40, 65, 95, 30, 25],  // extraction
+                [60, 65, 70, 50, 35, 50, 70],  // service_mixed
+                [65, 65, 60, 45, 20, 55, 90],  // institutional
+                [65, 75, 100, 35, 95, 25, 60], // transit_hub
+                [40, 70, 35, 75, 40, 95, 60],  // research
+                [60, 75, 80, 55, 100, 25, 40], // military
+                [70, 85, 50, 65, 20, 85, 70],  // residential
+            ],
+        }
+    }
 }
 
 // ---------------------------------------------------------------------------
diff --git a/server/tests/cascade_golden.rs b/server/tests/cascade_golden.rs
index a2dbd66fb..324626864 100644
--- a/server/tests/cascade_golden.rs
+++ b/server/tests/cascade_golden.rs
@@ -55,7 +55,7 @@ fn cascade_layer0_to_1_matches_golden() {
     // ── Layer 1 — downsample, then run the cascade to topography. ───────────
     let small = heightmap.downsample(DOWNSAMPLE.0, DOWNSAMPLE.1);
     let body_seed = SeedChain::for_body(WORLD_SEED, "GJ1c");
-    let snapshot = run_cascade_from_heightmap(body_seed, small, CascadeLayer::Topography);
+    let snapshot = run_cascade_from_heightmap(body_seed, small, &[], CascadeLayer::Topography);
     let layer1 = snapshot.layer1.expect("Layer 1 ran");
 
     let actual = json!({
diff --git a/server/tests/gen_fixtures.rs b/server/tests/gen_fixtures.rs
index 804c1220a..60c8b0f14 100644
--- a/server/tests/gen_fixtures.rs
+++ b/server/tests/gen_fixtures.rs
@@ -557,9 +557,9 @@ fn generate_atlas_layer_response_fixtures() {
         attractors: vec![GeographicAttractor {
             position: (12, 58),
             attractor_type: AttractorType::CoastalAccess,
-            strength: 0.9,
+            strength: 90,
             sub_biome: SubBiomeVariant::CoastalLowland,
-            terrain_modification_cost: 1.7,
+            terrain_modification_cost: 170,
         }],
         grid_w: 512,
         grid_h: 256,
diff --git a/server/tests/golden/cascade_layer1.json b/server/tests/golden/cascade_layer1.json
index 99541ef19..f9545d732 100644
--- a/server/tests/golden/cascade_layer1.json
+++ b/server/tests/golden/cascade_layer1.json
@@ -11,9 +11,9 @@
           0,
           100
         ],
-        "strength": 0.1970033347606659,
+        "strength": 20,
         "sub_biome": "Tundra",
-        "terrain_modification_cost": 1.6161832809448242
+        "terrain_modification_cost": 162
       },
       {
         "attractor_type": "RiverMouth",
@@ -21,9 +21,9 @@
           0,
           142
         ],
-        "strength": 0.13817979395389557,
+        "strength": 14,
         "sub_biome": "Tundra",
-        "terrain_modification_cost": 1.6532286405563354
+        "terrain_modification_cost": 165
       },
       {
         "attractor_type": "RiverMouth",
@@ -31,9 +31,9 @@
           0,
           197
         ],
-        "strength": 0.1348501592874527,
+        "strength": 13,
         "sub_biome": "Tundra",
-        "terrain_modification_cost": 1.6613280773162842
+        "terrain_modification_cost": 166
       },
       {
         "attractor_type": "RiverMouth",
@@ -41,9 +41,9 @@
           0,
           241
         ],
-        "strength": 0.22863484919071198,
+        "strength": 23,
         "sub_biome": "Tundra",
-        "terrain_modification_cost": 1.6579999923706055
+        "terrain_modification_cost": 166
       },
       {
         "attractor_type": "RiverMouth",
@@ -51,9 +51,9 @@
           11,
           65
         ],
-        "strength": 0.12097669392824173,
+        "strength": 12,
         "sub_biome": "Alpine",
-        "terrain_modification_cost": 3.842979669570923
+        "terrain_modification_cost": 384
       },
       {
         "attractor_type": "RiverMouth",
@@ -61,9 +61,9 @@
           12,
           232
         ],
-        "strength": 0.15371808409690857,
+        "strength": 15,
         "sub_biome": "Tundra",
-        "terrain_modification_cost": 1.655318260192871
+        "terrain_modification_cost": 166
       },
       {
         "attractor_type": "RiverMouth",
@@ -71,9 +71,9 @@
           12,
           238
         ],
-        "strength": 0.23362930119037628,
+        "strength": 23,
         "sub_biome": "Tundra",
-        "terrain_modification_cost": 1.626688003540039
+        "terrain_modification_cost": 163
       },
       {
         "attractor_type": "RiverMouth",
@@ -81,9 +81,9 @@
           15,
           141
         ],
-        "strength": 0.22475028038024902,
+        "strength": 22,
         "sub_biome": "CoastalLowland",
-        "terrain_modification_cost": 1.4988292455673218
+        "terrain_modification_cost": 150
       },
       {
         "attractor_type": "RiverMouth",
@@ -91,9 +91,9 @@
           20,
           85
         ],
-        "strength": 0.23973363637924194,
+        "strength": 24,
         "sub_biome": "BorealForest",
-        "terrain_modification_cost": 1.5785413980484009
+        "terrain_modification_cost": 158
       },
       {
         "attractor_type": "RiverMouth",
@@ -101,9 +101,9 @@
           25,
           100
         ],
-        "strength": 0.21587125957012177,
+        "strength": 22,
         "sub_biome": "CoastalLowland",
-        "terrain_modification_cost": 1.4586601257324219
+        "terrain_modification_cost": 146
       },
       {
         "attractor_type": "RiverMouth",
@@ -111,9 +111,9 @@
           28,
           14
         ],
-        "strength": 0.3390676975250244,
+        "strength": 34,
         "sub_biome": "TemperateForest",
-        "terrain_modification_cost": 1.500869631767273
+        "terrain_modification_cost": 150
       },
       {
         "attractor_type": "RiverMouth",
@@ -121,9 +121,9 @@
           28,
           181
         ],
-        "strength": 0.19755826890468597,
+        "strength": 20,
         "sub_biome": "Wetland",
-        "terrain_modification_cost": 3.2738523483276367
+        "terrain_modification_cost": 327
       },
       {
         "attractor_type": "RiverMouth",
@@ -131,9 +131,9 @@
           38,
           47
         ],
-        "strength": 0.15982241928577423,
+        "strength": 16,
         "sub_biome": "Wetland",
-        "terrain_modification_cost": 3.289930582046509
+        "terrain_modification_cost": 329
       },
       {
         "attractor_type": "RiverMouth",
@@ -141,9 +141,9 @@
           38,
           98
         ],
-        "strength": 0.12985572218894958,
+        "strength": 13,
         "sub_biome": "Wetland",
-        "terrain_modification_cost": 3.4823851585388184
+        "terrain_modification_cost": 348
       },
       {
         "attractor_type": "RiverMouth",
@@ -151,9 +151,9 @@
           50,
           226
         ],
-        "strength": 0.12819090485572815,
+        "strength": 13,
         "sub_biome": "Wetland",
-        "terrain_modification_cost": 3.2536017894744873
+        "terrain_modification_cost": 325
       },
       {
         "attractor_type": "RiverMouth",
@@ -161,9 +161,9 @@
           50,
           254
         ],
-        "strength": 0.15982241928577423,
+        "strength": 16,
         "sub_biome": "Wetland",
-        "terrain_modification_cost": 3.2409305572509766
+        "terrain_modification_cost": 324
       },
       {
         "attractor_type": "RiverMouth",
@@ -171,9 +171,9 @@
           51,
           230
         ],
-        "strength": 0.24750277400016785,
+        "strength": 25,
         "sub_biome": "Wetland",
-        "terrain_modification_cost": 3.2201220989227295
+        "terrain_modification_cost": 322
       },
       {
         "attractor_type": "RiverMouth",
@@ -181,9 +181,9 @@
           88,
           217
         ],
-        "strength": 0.12541620433330536,
+        "strength": 13,
         "sub_biome": "CoastalLowland",
-        "terrain_modification_cost": 1.4192293882369995
+        "terrain_modification_cost": 142
       },
       {
         "attractor_type": "RiverMouth",
@@ -191,9 +191,9 @@
           124,
           239
         ],
-        "strength": 0.11764705926179886,
+        "strength": 12,
         "sub_biome": "Wetland",
-        "terrain_modification_cost": 3.2694363594055176
+        "terrain_modification_cost": 327
       },
       {
         "attractor_type": "CoastalAccess",
@@ -201,9 +201,9 @@
           25,
           117
         ],
-        "strength": 0.9000000357627869,
+        "strength": 90,
         "sub_biome": "CoastalLowland",
-        "terrain_modification_cost": 1.5674556493759155
+        "terrain_modification_cost": 157
       },
       {
         "attractor_type": "CoastalAccess",
@@ -211,9 +211,9 @@
           25,
           129
         ],
-        "strength": 0.9000000357627869,
+        "strength": 90,
         "sub_biome": "CoastalLowland",
-        "terrain_modification_cost": 1.5940327644348145
+        "terrain_modification_cost": 159
       },
       {
         "attractor_type": "CoastalAccess",
@@ -221,9 +221,9 @@
           32,
           101
         ],
-        "strength": 0.9000000357627869,
+        "strength": 90,
         "sub_biome": "Wetland",
-        "terrain_modification_cost": 3.3026435375213623
+        "terrain_modification_cost": 330
       },
       {
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