diff --git a/kernel/src/kernel/base.cpp b/kernel/src/kernel/base.cpp
deleted file mode 100644
index e69de29..0000000
diff --git a/kernel/src/kernel/base.hpp b/kernel/src/kernel/base.hpp
deleted file mode 100644
index 68240de..0000000
--- a/kernel/src/kernel/base.hpp
+++ /dev/null
@@ -1,2 +0,0 @@
-#pragma once
-#include "base/object.hpp"
diff --git a/kernel/src/kernel/base/core.hpp b/kernel/src/kernel/base/core.hpp
index e076f3e..211ce80 100644
--- a/kernel/src/kernel/base/core.hpp
+++ b/kernel/src/kernel/base/core.hpp
@@ -18,7 +18,7 @@
 #include <unordered_set>
 #include <utility>
 #include <vector>
-namespace aethera {
+namespace double_buffer {
 template <typename T>
 concept Lockable = requires(T& lock) {
     { lock.lock() } -> std::same_as<void>;
diff --git a/kernel/src/kernel/base/object.hpp b/kernel/src/kernel/base/object.hpp
index c0c3325..351c3a8 100644
--- a/kernel/src/kernel/base/object.hpp
+++ b/kernel/src/kernel/base/object.hpp
@@ -1,6 +1,6 @@
 #pragma once
 #include "rely_storage.hpp"
-namespace aethera {
+namespace double_buffer {
 template <typename T>
 concept Object = requires {
     requires Object_Root<T>;
diff --git a/kernel/src/kernel/base/rely.hpp b/kernel/src/kernel/base/rely.hpp
index a0593b8..d083e34 100644
--- a/kernel/src/kernel/base/rely.hpp
+++ b/kernel/src/kernel/base/rely.hpp
@@ -1,6 +1,6 @@
 #pragma once
 #include "core.hpp"
-namespace aethera {
+namespace double_buffer {
 struct Rely {
     using Error = Rely_Error;
     struct Node {
diff --git a/kernel/src/kernel/base/rely_storage.hpp b/kernel/src/kernel/base/rely_storage.hpp
index 47183d7..76b377e 100644
--- a/kernel/src/kernel/base/rely_storage.hpp
+++ b/kernel/src/kernel/base/rely_storage.hpp
@@ -1,6 +1,6 @@
 #pragma once
 #include "rely.hpp"
-namespace aethera {
+namespace double_buffer {
 namespace detail {
 template <typename Callback, typename Tuple, typename... Tags>
 concept Rely_Edit_Callback_For = Rely_List<Tuple> && std::invocable<
diff --git a/kernel/src/kernel/render.cpp b/kernel/src/kernel/render.cpp
index 91a58e7..6b8c7b3 100644
--- a/kernel/src/kernel/render.cpp
+++ b/kernel/src/kernel/render.cpp
@@ -2,13 +2,13 @@
 #include <chrono>
 #include <limits>
 #include <taskflow/observer/interface.hpp>
-namespace aethera::render {
+namespace aethera {
 namespace {
-class Stage_Registry : Pinned {
+class Stage_Registry : ::double_buffer::Pinned {
 private:
     struct Binding {
         const tf::Taskflow* owner;
-        Root* object;
+        ::double_buffer::Root* object;
         Renderable::Private* data;
         detail::Renderable_Stage stage;
         detail::Stage_Observer_Point point;
@@ -16,7 +16,7 @@ private:
     std::unordered_map<std::size_t, Binding> bindings;
     std::mutex mutex;
 public:
-    void bind(const tf::Taskflow* owner, std::size_t task_hash, Root* object, Renderable::Private* data, detail::Renderable_Stage stage, detail::Stage_Observer_Point point) {
+    void bind(const tf::Taskflow* owner, std::size_t task_hash, ::double_buffer::Root* object, Renderable::Private* data, detail::Renderable_Stage stage, detail::Stage_Observer_Point point) {
         std::lock_guard guard(mutex);
         bindings.insert_or_assign(task_hash, Binding{owner, object, data, stage, point});
     }
@@ -246,7 +246,7 @@ public:
         state.longest_task_type = longest_task_type;
     }
 };
-class Task_Resource : Pinned {
+class Task_Resource : ::double_buffer::Pinned {
 private:
     std::unique_ptr<tf::Executor> executor;
     std::shared_ptr<Task_Observer> observer;
@@ -257,7 +257,7 @@ private:
     std::atomic_size_t completed_taskflows{};
     std::atomic_size_t failed_taskflows{};
     Task_Runtime_State state;
-    ::aethera::detail::State_Callback_Storage<Task_Runtime_State> state_callbacks;
+    ::double_buffer::detail::State_Callback_Storage<Task_Runtime_State> state_callbacks;
     std::recursive_mutex state_mutex;
     void create_executor(std::size_t workers, std::shared_ptr<tf::WorkerInterface> worker_interface) {
         executor = std::make_unique<tf::Executor>(workers, std::move(worker_interface));
@@ -285,7 +285,7 @@ public:
         static Task_Resource value;
         return value;
     }
-    void initialize(std::size_t workers, std::shared_ptr<tf::WorkerInterface> worker_interface, Pmr pmr) {
+    void initialize(std::size_t workers, std::shared_ptr<tf::WorkerInterface> worker_interface, ::double_buffer::Pmr pmr) {
         std::lock_guard guard(state_mutex);
         memory = pmr.resource();
         create_executor(workers, std::move(worker_interface));
@@ -315,7 +315,7 @@ public:
         publish_state();
         return elapsed;
     }
-    void bind_stage_observer(const tf::Taskflow* owner, std::size_t task_hash, Root* object, Renderable::Private* data, detail::Renderable_Stage stage, detail::Stage_Observer_Point point) {
+    void bind_stage_observer(const tf::Taskflow* owner, std::size_t task_hash, ::double_buffer::Root* object, Renderable::Private* data, detail::Renderable_Stage stage, detail::Stage_Observer_Point point) {
         stage_registry.bind(owner, task_hash, object, data, stage, point);
     }
     void clear_stage_observers(const tf::Taskflow* owner) {
@@ -334,7 +334,7 @@ public:
     }
 };
 }
-void initialize_runtime(std::size_t workers, std::shared_ptr<tf::WorkerInterface> worker_interface, Pmr pmr) {
+void initialize_runtime(std::size_t workers, std::shared_ptr<tf::WorkerInterface> worker_interface, ::double_buffer::Pmr pmr) {
     Task_Resource::instance().initialize(workers, std::move(worker_interface), pmr);
 }
 namespace detail {
@@ -347,7 +347,7 @@ void clear_runtime_state_callback() {
 std::uint64_t run_taskflow(tf::Taskflow& taskflow) {
     return Task_Resource::instance().run(taskflow);
 }
-void bind_stage_observer(const tf::Taskflow* owner, std::size_t task_hash, Root* object, Renderable::Private* data, Renderable_Stage stage, Stage_Observer_Point point) {
+void bind_stage_observer(const tf::Taskflow* owner, std::size_t task_hash, ::double_buffer::Root* object, Renderable::Private* data, Renderable_Stage stage, Stage_Observer_Point point) {
     Task_Resource::instance().bind_stage_observer(owner, task_hash, object, data, stage, point);
 }
 void clear_stage_observers(const tf::Taskflow* owner) {
diff --git a/kernel/src/kernel/render.hpp b/kernel/src/kernel/render.hpp
index c270e1f..4cf02a8 100644
--- a/kernel/src/kernel/render.hpp
+++ b/kernel/src/kernel/render.hpp
@@ -1,5 +1,5 @@
 #pragma once
-#include "base.hpp"
+#include "base/object.hpp"
 #include <array>
 #include <string>
 #include <taskflow/taskflow.hpp>
@@ -30,7 +30,7 @@ struct Task_Worker_State {
     double utilization{};
     bool operator==(const Task_Worker_State&) const = default;
 };
-struct Task_Runtime_State : State_Type<Task_Runtime_State_Tag> {
+struct Task_Runtime_State : ::double_buffer::State_Type<Task_Runtime_State_Tag> {
     std::size_t worker_count{};
     std::size_t active_topology_count{};
     std::size_t active_taskflow_count{};
@@ -63,7 +63,7 @@ struct Task_Runtime_State : State_Type<Task_Runtime_State_Tag> {
 };
 void initialize_runtime(std::size_t workers = std::thread::hardware_concurrency(),
                         std::shared_ptr<tf::WorkerInterface> worker_interface = nullptr,
-                        Pmr pmr = {});
+                        ::double_buffer::Pmr pmr = {});
 namespace detail {
 void set_runtime_state_callback(std::function<void(const Task_Runtime_State&)> callback);
 void clear_runtime_state_callback();
@@ -80,30 +80,72 @@ void clear_runtime_state_callback() {
     detail::clear_runtime_state_callback();
 }
 struct Renderable;
+/*
+ * Prepare 数据模式定制点。
+ * 子类的 Private 可定义：
+ *     void prepare_data(T* object);
+ * 当未定义 build_prepare_graph(...) 时必须提供该函数。
+ * 如果 prepare_data(...) 与 build_prepare_graph(...) 同时存在，Prepare 阶段选择子图模式，
+ * prepare_data(...) 不再作为该阶段的执行函数。
+ */
 template <typename T>
-concept Prepare_Data_Renderable = Attached<T> && requires(typename T::Private& private_data, T* object) {
+concept Prepare_Data_Renderable = ::double_buffer::Attached<T> && requires(typename T::Private& private_data, T* object) {
     { private_data.prepare_data(object) } -> std::same_as<void>;
 };
+/*
+ * Prepare 子图模式定制点。
+ * 子类的 Private 可定义：
+ *     tf::Taskflow build_prepare_graph(T* object, const T::State& state);
+ * 只要该函数存在且签名满足此概念，Prepare 阶段就进入子图模式。
+ * 子图首次执行前一定会构建；之后仅在 should_rebuild_prepare_graph(...) 返回 true 时重建。
+ * 子图构建需要 PMR 时直接使用 detail::task_memory_resource() 获取运行时全局资源，
+ * 不把 std::pmr::memory_resource 作为 Renderable 子类接口参数传递。
+ * 不需要子图模式时不要定义一个仅返回空 Taskflow 的函数，应直接省略该定制点。
+ */
 template <typename T>
-concept Prepare_Graph_Renderable = Attached<T> && requires(typename T::Private& private_data, T* object, const typename T::State& state, std::pmr::memory_resource* resource) {
-    { private_data.build_prepare_graph(object, state, resource) } -> std::same_as<tf::Taskflow>;
+concept Prepare_Graph_Renderable = ::double_buffer::Attached<T> && requires(typename T::Private& private_data, T* object, const typename T::State& state) {
+    { private_data.build_prepare_graph(object, state) } -> std::same_as<tf::Taskflow>;
 };
+/*
+ * Paint 数据模式定制点。
+ * 子类的 Private 可定义：
+ *     void paint(T* object);
+ * 当未定义 build_paint_graph(...) 时必须提供该函数。
+ * 如果 paint(...) 与 build_paint_graph(...) 同时存在，Paint 阶段选择子图模式，
+ * paint(...) 不再作为该阶段的执行函数。
+ */
 template <typename T>
-concept Paint_Data_Renderable = Attached<T> && requires(typename T::Private& private_data, T* object) {
+concept Paint_Data_Renderable = ::double_buffer::Attached<T> && requires(typename T::Private& private_data, T* object) {
     { private_data.paint(object) } -> std::same_as<void>;
 };
+/*
+ * Paint 子图模式定制点。
+ * 子类的 Private 可定义：
+ *     tf::Taskflow build_paint_graph(T* object, const T::State& state);
+ * 只要该函数存在且签名满足此概念，Paint 阶段就进入子图模式。
+ * 子图首次执行前一定会构建；之后仅在 should_rebuild_paint_graph(...) 返回 true 时重建。
+ * 子图构建需要 PMR 时直接使用 detail::task_memory_resource() 获取运行时全局资源，
+ * 不把 std::pmr::memory_resource 作为 Renderable 子类接口参数传递。
+ * 不需要子图模式时不要定义一个仅返回空 Taskflow 的函数，应直接省略该定制点。
+ */
 template <typename T>
-concept Paint_Graph_Renderable = Attached<T> && requires(typename T::Private& private_data, T* object, const typename T::State& state, std::pmr::memory_resource* resource) {
-    { private_data.build_paint_graph(object, state, resource) } -> std::same_as<tf::Taskflow>;
+concept Paint_Graph_Renderable = ::double_buffer::Attached<T> && requires(typename T::Private& private_data, T* object, const typename T::State& state) {
+    { private_data.build_paint_graph(object, state) } -> std::same_as<tf::Taskflow>;
 };
+/*
+ * Renderable 子类完整契约。
+ * Prepare 与 Paint 两个阶段都必须至少提供一种实现：普通函数或子图构建函数。
+ * should_prepare(...)、should_paint(...)、should_rebuild_prepare_graph(...)、
+ * should_rebuild_paint_graph(...) 在 Renderable::Private 中提供默认行为，子类可按需重新定义。
+ */
 template <typename T>
-concept Renderable_Object = Attached<T> && std::derived_from<T, Renderable> && requires(typename T::Private& private_data, T* object, const typename T::State& state, bool dirty) {
+concept Renderable_Object = ::double_buffer::Attached<T> && std::derived_from<T, Renderable> && requires(typename T::Private& private_data, T* object, const typename T::State& state, bool dirty) {
     { private_data.should_prepare(object, state, dirty) } -> std::same_as<bool>;
     { private_data.should_paint(object, state, dirty) } -> std::same_as<bool>;
     { private_data.should_rebuild_prepare_graph(object, state) } -> std::same_as<bool>;
     { private_data.should_rebuild_paint_graph(object, state) } -> std::same_as<bool>;
 } && (Prepare_Data_Renderable<T> || Prepare_Graph_Renderable<T>) && (Paint_Data_Renderable<T> || Paint_Graph_Renderable<T>);
-struct Renderable : Impl<Renderable, Root, State_Type<Renderable_State_Tag>, Tagged_Buffer<Color_Cache>> {
+struct Renderable : ::double_buffer::Impl<Renderable, ::double_buffer::Root, ::double_buffer::State_Type<Renderable_State_Tag>, ::double_buffer::Tagged_Buffer<Color_Cache>> {
     struct Prop : Prev_Prop {};
     struct State : Prev_State<Renderable_State_Tag> {
         bool prepare_dirty{};
@@ -130,12 +172,12 @@ protected:
     }
 public:
     struct Private : Prev_Private {
-        using Run_Predicate = bool (*)(Root*, bool);
-        using Rebuild_Predicate = bool (*)(Root*);
-        using Stage_Run = void (*)(Root*);
-        using Graph_Builder = tf::Taskflow (*)(Root*, std::pmr::memory_resource*);
-        using State_Access = State* (*)(Root*);
-        using State_Notify = void (*)(Root*);
+        using Run_Predicate = bool (*)(::double_buffer::Root*, bool);
+        using Rebuild_Predicate = bool (*)(::double_buffer::Root*);
+        using Stage_Run = void (*)(::double_buffer::Root*);
+        using Graph_Builder = tf::Taskflow (*)(::double_buffer::Root*);
+        using State_Access = State* (*)(::double_buffer::Root*);
+        using State_Notify = void (*)(::double_buffer::Root*);
         struct Stage_Dispatch {
             Run_Predicate predicate;
             Rebuild_Predicate rebuild_predicate;
@@ -156,40 +198,74 @@ public:
         std::unique_ptr<tf::Taskflow> paint_graph;
         bool prepare_graph_built{};
         bool paint_graph_built{};
-        bool should_rebuild_prepare_graph(Attached auto*, const State&) {
+        /*
+         * Prepare 子图重建判定定制点。
+         * 子类的 Private 可定义：
+         *     bool should_rebuild_prepare_graph(T* object, const T::State& state);
+         * 仅在定义了 build_prepare_graph(...) 的子图模式下使用。
+         * 首次子图构建不依赖该返回值；默认 false 表示首次构建后不主动重建。
+         */
+        bool should_rebuild_prepare_graph(::double_buffer::Attached auto*, const State&) {
             return false;
         }
-        bool should_rebuild_paint_graph(Attached auto*, const State&) {
+        /*
+         * Paint 子图重建判定定制点。
+         * 子类的 Private 可定义：
+         *     bool should_rebuild_paint_graph(T* object, const T::State& state);
+         * 仅在定义了 build_paint_graph(...) 的子图模式下使用。
+         * 首次子图构建不依赖该返回值；默认 false 表示首次构建后不主动重建。
+         */
+        bool should_rebuild_paint_graph(::double_buffer::Attached auto*, const State&) {
             return false;
         }
-        bool should_prepare(Attached auto*, const State&, bool dirty) {
+        /*
+         * Prepare 阶段执行判定定制点。
+         * 子类的 Private 可定义：
+         *     bool should_prepare(T* object, const T::State& state, bool dirty);
+         * dirty 是运行时在完成必要的子图重建处理后读取到的 Prepare 脏状态。
+         * 返回 true 执行 Prepare 阶段，返回 false 跳过；默认仅在 dirty 为 true 时执行。
+         */
+        bool should_prepare(::double_buffer::Attached auto*, const State&, bool dirty) {
             return dirty;
         }
-        bool should_paint(Attached auto*, const State&, bool dirty) {
+        /*
+         * Paint 阶段执行判定定制点。
+         * 子类的 Private 可定义：
+         *     bool should_paint(T* object, const T::State& state, bool dirty);
+         * dirty 是运行时在完成必要的子图重建处理后读取到的 Paint 脏状态。
+         * 返回 true 执行 Paint 阶段，返回 false 跳过；默认仅在 dirty 为 true 时执行。
+         */
+        bool should_paint(::double_buffer::Attached auto*, const State&, bool dirty) {
             return dirty;
         }
-        void after_prepare_data(Attached auto*) {}
+        /*
+         * Prepare 数据模式完成后的可选后置钩子。
+         * 子类的 Private 可定义：
+         *     void after_prepare_data(T* object);
+         * 仅在 prepare_data(...) 数据模式执行完成后调用，Prepare 子图模式不会调用该钩子。
+         */
+        void after_prepare_data(::double_buffer::Attached auto*) {}
     };
 private:
-    void bind_rely_object(Attached auto* object) {
+    void bind_rely_object(::double_buffer::Attached auto* object) {
         using Object = std::remove_pointer_t<decltype(object)>;
         static_assert(Renderable_Object<Object>);
         auto& data = static_cast<Private&>(object->d);
         static const Private::Dispatch dispatch{
             {
-                [](Root* root, bool dirty) {
+                [](::double_buffer::Root* root, bool dirty) {
                     auto* value = static_cast<Object*>(root);
                     auto& private_data = static_cast<typename Object::Private&>(value->d);
                     return private_data.should_prepare(value, *value->d.state.current, dirty);
                 },
-                [](Root* root) {
+                [](::double_buffer::Root* root) {
                     auto* value = static_cast<Object*>(root);
                     auto& private_data = static_cast<typename Object::Private&>(value->d);
                     return private_data.should_rebuild_prepare_graph(value, *value->d.state.current);
                 },
                 []() -> Private::Stage_Run {
                     if constexpr (Prepare_Data_Renderable<Object>) {
-                        return [](Root* root) {
+                        return [](::double_buffer::Root* root) {
                             auto* value = static_cast<Object*>(root);
                             run_prepare_data(value);
                         };
@@ -200,10 +276,10 @@ private:
                 }(),
                 []() -> Private::Graph_Builder {
                     if constexpr (Prepare_Graph_Renderable<Object>) {
-                        return [](Root* root, std::pmr::memory_resource* resource) {
+                        return [](::double_buffer::Root* root) {
                             auto* value = static_cast<Object*>(root);
                             auto& private_data = static_cast<typename Object::Private&>(value->d);
-                            return private_data.build_prepare_graph(value, *value->d.state.current, resource);
+                            return private_data.build_prepare_graph(value, *value->d.state.current);
                         };
                     }
                     else {
@@ -212,19 +288,19 @@ private:
                 }()
             },
             {
-                [](Root* root, bool dirty) {
+                [](::double_buffer::Root* root, bool dirty) {
                     auto* value = static_cast<Object*>(root);
                     auto& private_data = static_cast<typename Object::Private&>(value->d);
                     return private_data.should_paint(value, *value->d.state.current, dirty);
                 },
-                [](Root* root) {
+                [](::double_buffer::Root* root) {
                     auto* value = static_cast<Object*>(root);
                     auto& private_data = static_cast<typename Object::Private&>(value->d);
                     return private_data.should_rebuild_paint_graph(value, *value->d.state.current);
                 },
                 []() -> Private::Stage_Run {
                     if constexpr (Paint_Data_Renderable<Object>) {
-                        return [](Root* root) {
+                        return [](::double_buffer::Root* root) {
                             auto* value = static_cast<Object*>(root);
                             auto& private_data = static_cast<typename Object::Private&>(value->d);
                             private_data.paint(value);
@@ -236,10 +312,10 @@ private:
                 }(),
                 []() -> Private::Graph_Builder {
                     if constexpr (Paint_Graph_Renderable<Object>) {
-                        return [](Root* root, std::pmr::memory_resource* resource) {
+                        return [](::double_buffer::Root* root) {
                             auto* value = static_cast<Object*>(root);
                             auto& private_data = static_cast<typename Object::Private&>(value->d);
-                            return private_data.build_paint_graph(value, *value->d.state.current, resource);
+                            return private_data.build_paint_graph(value, *value->d.state.current);
                         };
                     }
                     else {
@@ -248,11 +324,11 @@ private:
                 }()
             },
             {
-                [](Root* root) {
+                [](::double_buffer::Root* root) {
                     auto* value = static_cast<Object*>(root);
                     return static_cast<State*>(value->d.state.current);
                 },
-                [](Root* root) {
+                [](::double_buffer::Root* root) {
                     auto* value = static_cast<Object*>(root);
                     value->template notify_state<Renderable_State_Tag>();
                 }
@@ -261,7 +337,7 @@ private:
         data.dispatch = &dispatch;
         object->template mark_dirty<Prepare_Data_Tag>();
     }
-    friend struct ::aethera::Rely;
+    friend struct ::double_buffer::Rely;
 };
 namespace detail {
 enum class Renderable_Stage {
@@ -272,10 +348,10 @@ enum class Stage_Observer_Point {
     Begin,
     End
 };
-void bind_stage_observer(const tf::Taskflow* owner, std::size_t task_hash, Root* object, Renderable::Private* data, Renderable_Stage stage, Stage_Observer_Point point);
+void bind_stage_observer(const tf::Taskflow* owner, std::size_t task_hash, ::double_buffer::Root* object, Renderable::Private* data, Renderable_Stage stage, Stage_Observer_Point point);
 void clear_stage_observers(const tf::Taskflow* owner);
 }
-struct Scene : Impl<Scene, Root, State_Type<Scene_State_Tag>, Rely_Type<Prepare_Data_Tag, Renderable>, Rely_Type<Paint_Tag, Renderable>> {
+struct Scene : ::double_buffer::Impl<Scene, ::double_buffer::Root, ::double_buffer::State_Type<Scene_State_Tag>, ::double_buffer::Rely_Type<Prepare_Data_Tag, Renderable>, ::double_buffer::Rely_Type<Paint_Tag, Renderable>> {
     struct Prop : Prev_Prop {};
     struct State : Prev_State<Scene_State_Tag> {
         bool taskflow_rebuilt{};
@@ -301,9 +377,9 @@ struct Scene : Impl<Scene, Root, State_Type<Scene_State_Tag>, Rely_Type<Prepare_
         ~Private() {
             detail::clear_stage_observers(&taskflow);
         }
-        void after_exchange(Attached auto* object, Prop*, State*, const Prop*, const State*);
+        void after_exchange(::double_buffer::Attached auto* object, Prop*, State*, const Prop*, const State*);
         template <std::invocable<const Result&> Callback>
-        void process(Attached auto* object, Callback&& callback) {
+        void process(::double_buffer::Attached auto* object, Callback&& callback) {
             auto& state = static_cast<State&>(*object->d.state.current);
             state.taskflow_rebuilt = taskflow_rebuilt;
             state.renderable_count = renderable_count;
@@ -319,15 +395,15 @@ struct Scene : Impl<Scene, Root, State_Type<Scene_State_Tag>, Rely_Type<Prepare_
         }
     };
 };
-void Scene::Private::after_exchange(Attached auto* object, Prop*, State*, const Prop*, const State*) {
+void Scene::Private::after_exchange(::double_buffer::Attached auto* object, Prop*, State*, const Prop*, const State*) {
     auto* resource = detail::task_memory_resource();
     taskflow_rebuilt = false;
-    std::pmr::unordered_set<Root*> exchanged_objects{resource};
+    std::pmr::unordered_set<::double_buffer::Root*> exchanged_objects{resource};
     exchanged_objects.insert(object);
     object->for_each_current_rely(
-        [&](const Rely& rely) {
+        [&](const ::double_buffer::Rely& rely) {
             rely.for_each(
-                [&](const Rely::Node& node) {
+                [&](const ::double_buffer::Rely::Node& node) {
                     if (exchanged_objects.insert(node.object).second) node.object->exchange_object();
                 }
             );
@@ -362,9 +438,9 @@ void Scene::Private::after_exchange(Attached auto* object, Prop*, State*, const
         tf::Task paint_entry;
         tf::Task paint_exit;
     };
-    std::pmr::unordered_map<Root*, Stage_Tasks> stage_tasks{resource};
+    std::pmr::unordered_map<::double_buffer::Root*, Stage_Tasks> stage_tasks{resource};
     for (auto* renderable : renderables) {
-        Root* root = renderable;
+        ::double_buffer::Root* root = renderable;
         auto* data = prepare_dependencies.private_data(root);
         if (!data) data = paint_dependencies.private_data(root);
         if (!data) continue;
@@ -376,7 +452,7 @@ void Scene::Private::after_exchange(Attached auto* object, Prop*, State*, const
             if (dispatch->prepare.builder) {
                 bool rebuild = dispatch->prepare.rebuild_predicate(root);
                 if (!data->prepare_graph_built || rebuild) {
-                    *data->prepare_graph = dispatch->prepare.builder(root, detail::task_memory_resource());
+                    *data->prepare_graph = dispatch->prepare.builder(root);
                     data->prepare_graph_built = true;
                     state.prepare_graph_rebuilt = true;
                     root->template mark_dirty<Prepare_Data_Tag>();
@@ -416,7 +492,7 @@ void Scene::Private::after_exchange(Attached auto* object, Prop*, State*, const
             if (dispatch->paint.builder) {
                 bool rebuild = dispatch->paint.rebuild_predicate(root);
                 if (!data->paint_graph_built || rebuild) {
-                    *data->paint_graph = dispatch->paint.builder(root, detail::task_memory_resource());
+                    *data->paint_graph = dispatch->paint.builder(root);
                     data->paint_graph_built = true;
                     state.paint_graph_rebuilt = true;
                     root->template mark_dirty<Paint_Tag>();
@@ -457,12 +533,12 @@ void Scene::Private::after_exchange(Attached auto* object, Prop*, State*, const
     }
     auto connect_dependencies = [&](const auto& rely, bool prepare) {
         rely.for_each(
-            [&](const Rely::Node& rely_node) {
+            [&](const ::double_buffer::Rely::Node& rely_node) {
                 if (!rely.private_data(rely_node)) return;
                 auto target = stage_tasks.find(rely_node.object);
                 if (target == stage_tasks.end()) return;
-                std::pmr::unordered_set<Root*> visited{resource};
-                std::pmr::vector<const Rely::Node*> pending{resource};
+                std::pmr::unordered_set<::double_buffer::Root*> visited{resource};
+                std::pmr::vector<const ::double_buffer::Rely::Node*> pending{resource};
                 for (const auto* dependency : rely_node.dependencies) pending.push_back(dependency);
                 while (!pending.empty()) {
                     const auto* dependency = pending.back();