fix: preserve deterministic decisions across saves

simulation/SimVillage.gd

@@ -27,7 +27,7 @@ func update_modifiers() -> void:
 		food_modifier = 2.0
 	if wood <= 0:
 		wood_modifier = 2.0
-	if safety < 20:
+	if _strictly_below(safety, 20.0):
 		safety_modifier = 2.0
 	if knowledge > 25:
 		knowledge_modifier = 0.75
@@ -46,24 +46,24 @@ func update_priorities() -> void:
 	safety_priority = 1.0
 	knowledge_priority = 1.0
 
-	if food < 10.0:
+	if _strictly_below(food, 10.0):
 		food_priority = 3.0
-	elif food < 20.0:
+	elif _strictly_below(food, 20.0):
 		food_priority = 2.0
 
-	if wood < 5.0:
+	if _strictly_below(wood, 5.0):
 		wood_priority = 2.5
-	elif wood < 15.0:
+	elif _strictly_below(wood, 15.0):
 		wood_priority = 1.75
 
-	if safety < 25.0:
+	if _strictly_below(safety, 25.0):
 		safety_priority = 3.0
-	elif safety < 50.0:
+	elif _strictly_below(safety, 50.0):
 		safety_priority = 1.5
 
-	if knowledge < 5.0:
+	if _strictly_below(knowledge, 5.0):
 		knowledge_priority = 1.75
-	elif knowledge < 15.0:
+	elif _strictly_below(knowledge, 15.0):
 		knowledge_priority = 1.25
 
 	if debug_logs:
@@ -147,3 +147,9 @@ func get_priority_summary() -> String:
 func debug_log(message: String) -> void:
 	if debug_logs:
 		print("[Village] ", message)
+
+
+static func _strictly_below(value: float, threshold: float) -> bool:
+	# JSON round trips can normalize a value a few ULPs below a threshold to the
+	# exact decimal. Treat that boundary identically before and after saving.
+	return value < threshold and not is_equal_approx(value, threshold)

simulation/SimulationManager.gd

@@ -1359,6 +1359,10 @@ func restore_state(record: SimulationStateRecord) -> bool:
 	village = record.village.restore(debug_logs)
 	economy.configure(village, debug_logs)
 	economy.restore_storage(record.storages)
+	# Priorities and modifiers are deterministic derived state, not save payload.
+	# Rebuild them before the next decision so save/load cannot change outcomes.
+	village.update_modifiers()
+	village.update_priorities()
 	event_log.restore(record.economic_events, int(record.simulation["next_event_id"]))
 	latest_decisions.clear()
 	npcs.clear()

simulation/state/KnownEventStateRecord.gd

@@ -138,7 +138,19 @@ static func from_dictionary(record_data: Dictionary) -> KnownEventStateRecord:
 		or hop_count != 0
 	):
 		return null
-	return KnownEventStateRecord.new(normalized)
+	return create(
+		knower_id,
+		event_id,
+		acquisition_method,
+		source_npc_id,
+		acquired_tick,
+		source_acquisition_method,
+		hop_count,
+		confidence,
+		salience,
+		source_actor_id,
+		bool(normalized["pinned"])
+	)
 
 
 func get_knower_id() -> int:

simulation/state/RelationshipStateRecord.gd

@@ -89,6 +89,11 @@ static func from_dictionary(record_data: Dictionary) -> RelationshipStateRecord:
 			return null
 		if cause_event_id < NO_CAUSE_EVENT:
 			return null
+		normalized[String(dimension)] = value
+		normalized[_cause_key(dimension)] = cause_event_id
+	normalized["schema_version"] = SCHEMA_VERSION
+	normalized["observer_id"] = observer_id
+	normalized["subject_id"] = subject_id
 	return RelationshipStateRecord.new(normalized)
 
 

tests/unit/test_social_foundations.gd.uid

@@ -0,0 +1 @@
+uid://becxio7ec31yj