diff --git a/CITATION.cff b/CITATION.cff
index 47f01263895..6ba15db207e 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -25,6 +25,8 @@ authors:
     given-names: David
   - family-names: Hall
     given-names: Alex
+  - family-names: Plot
+    given-names: Victorien
 repository-code: 'https://github.com/pydantic/pydantic'
 url: 'https://docs.pydantic.dev/latest/'
 abstract: >-
@@ -42,5 +44,5 @@ keywords:
   - hints
   - typing
 license: MIT
-version: v2.10.0
-date-released: 2024-11-20
+version: v2.10.1
+date-released: 2024-11-21
diff --git a/HISTORY.md b/HISTORY.md
index 309a86c4960..e114f0f90e0 100644
--- a/HISTORY.md
+++ b/HISTORY.md
@@ -1,3 +1,25 @@
+## v2.10.1 (2024-11-21)
+
+[GitHub release](https://github.com/pydantic/pydantic/releases/tag/v2.10.1)
+
+### What's Changed
+
+#### Packaging
+
+* Bump `pydantic-core` version to `v2.27.1` by @sydney-runkle in [#10938](https://github.com/pydantic/pydantic/pull/10938)
+
+#### Fixes
+
+* Use the correct frame when instantiating a parametrized `TypeAdapter` by @Viicos in [#10893](https://github.com/pydantic/pydantic/pull/10893)
+* Relax check for validated data in `default_factory` utils by @sydney-runkle in [#10909](https://github.com/pydantic/pydantic/pull/10909)
+* Fix type checking issue with `model_fields` and `model_computed_fields` by @sydney-runkle in [#10911](https://github.com/pydantic/pydantic/pull/10911)
+* Use the parent configuration during schema generation for stdlib `dataclass`es by @sydney-runkle in [#10928](https://github.com/pydantic/pydantic/pull/10928)
+* Use the `globals` of the function when evaluating the return type of serializers and `computed_field`s by @Viicos in [#10929](https://github.com/pydantic/pydantic/pull/10929)
+* Fix URL constraint application by @sydney-runkle in [#10922](https://github.com/pydantic/pydantic/pull/10922)
+* Fix URL equality with different validation methods by @sydney-runkle in [#10934](https://github.com/pydantic/pydantic/pull/10934)
+* Fix JSON schema title when specified as `''` by @sydney-runkle in [#10936](https://github.com/pydantic/pydantic/pull/10936)
+* Fix `python` mode serialization for `complex` inference by @sydney-runkle in [pydantic-core#1549](https://github.com/pydantic/pydantic-core/pull/1549)
+
 ## v2.10.0 (2024-11-20)
 
 The code released in v2.10.0 is practically identical to that of v2.10.0b2.
diff --git a/docs/concepts/dataclasses.md b/docs/concepts/dataclasses.md
index 539366c6057..e2411f7183e 100644
--- a/docs/concepts/dataclasses.md
+++ b/docs/concepts/dataclasses.md
@@ -249,7 +249,7 @@ configuration value on the dataclass:
 ```python
 import dataclasses
 
-from pydantic import BaseModel
+from pydantic import BaseModel, ConfigDict
 from pydantic.errors import PydanticSchemaGenerationError
 
 
@@ -276,6 +276,9 @@ try:
         dc: DC
         other: str
 
+    # invalid as dc is now validated with pydantic, and ArbitraryType is not a known type
+    Model(dc=my_dc, other='other')
+
 except PydanticSchemaGenerationError as e:
     print(e.message)
     """
@@ -285,22 +288,17 @@ except PydanticSchemaGenerationError as e:
     """
 
 
-@dataclasses.dataclass
-class DC2:
-    a: ArbitraryType
-    b: str
-
-    __pydantic_config__ = {'arbitrary_types_allowed': True}
-
-
+# valid as we set arbitrary_types_allowed=True, and that config pushes down to the nested vanilla dataclass
 class Model(BaseModel):
-    dc: DC2
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+
+    dc: DC
     other: str
 
 
-m = Model(dc=DC2(a=ArbitraryType(value=3), b='qwe'), other='other')
+m = Model(dc=my_dc, other='other')
 print(repr(m))
-#> Model(dc=DC2(a=ArbitraryType(value=3), b='qwe'), other='other')
+#> Model(dc=DC(a=ArbitraryType(value=3), b='qwe'), other='other')
 ```
 
 ### Checking if a dataclass is a Pydantic dataclass
diff --git a/pydantic/_internal/_generate_schema.py b/pydantic/_internal/_generate_schema.py
index bf5d4d9ffc7..31537516d55 100644
--- a/pydantic/_internal/_generate_schema.py
+++ b/pydantic/_internal/_generate_schema.py
@@ -1406,6 +1406,8 @@ def _typed_dict_schema(self, typed_dict_cls: Any, origin: Any) -> core_schema.Co
                 )
 
             try:
+                # if a typed dictionary class doesn't have config, we use the parent's config, hence a default of `None`
+                # see https://github.com/pydantic/pydantic/issues/10917
                 config: ConfigDict | None = get_attribute_from_bases(typed_dict_cls, '__pydantic_config__')
             except AttributeError:
                 config = None
@@ -1733,7 +1735,10 @@ def _dataclass_schema(
             if origin is not None:
                 dataclass = origin
 
-            config = getattr(dataclass, '__pydantic_config__', ConfigDict())
+            # if (plain) dataclass doesn't have config, we use the parent's config, hence a default of `None`
+            # (Pydantic dataclasses have an empty dict config by default).
+            # see https://github.com/pydantic/pydantic/issues/10917
+            config = getattr(dataclass, '__pydantic_config__', None)
 
             from ..dataclasses import is_pydantic_dataclass
 
@@ -1922,7 +1927,12 @@ def _computed_field_schema(
         field_serializers: dict[str, Decorator[FieldSerializerDecoratorInfo]],
     ) -> core_schema.ComputedField:
         try:
-            return_type = _decorators.get_function_return_type(d.func, d.info.return_type, *self._types_namespace)
+            # Do not pass in globals as the function could be defined in a different module.
+            # Instead, let `get_function_return_type` infer the globals to use, but still pass
+            # in locals that may contain a parent/rebuild namespace:
+            return_type = _decorators.get_function_return_type(
+                d.func, d.info.return_type, localns=self._types_namespace.locals
+            )
         except NameError as e:
             raise PydanticUndefinedAnnotation.from_name_error(e) from e
         if return_type is PydanticUndefined:
@@ -2157,8 +2167,11 @@ def _apply_field_serializers(
             is_field_serializer, info_arg = inspect_field_serializer(serializer.func, serializer.info.mode)
 
             try:
+                # Do not pass in globals as the function could be defined in a different module.
+                # Instead, let `get_function_return_type` infer the globals to use, but still pass
+                # in locals that may contain a parent/rebuild namespace:
                 return_type = _decorators.get_function_return_type(
-                    serializer.func, serializer.info.return_type, *self._types_namespace
+                    serializer.func, serializer.info.return_type, localns=self._types_namespace.locals
                 )
             except NameError as e:
                 raise PydanticUndefinedAnnotation.from_name_error(e) from e
@@ -2197,8 +2210,11 @@ def _apply_model_serializers(
             info_arg = inspect_model_serializer(serializer.func, serializer.info.mode)
 
             try:
+                # Do not pass in globals as the function could be defined in a different module.
+                # Instead, let `get_function_return_type` infer the globals to use, but still pass
+                # in locals that may contain a parent/rebuild namespace:
                 return_type = _decorators.get_function_return_type(
-                    serializer.func, serializer.info.return_type, *self._types_namespace
+                    serializer.func, serializer.info.return_type, localns=self._types_namespace.locals
                 )
             except NameError as e:
                 raise PydanticUndefinedAnnotation.from_name_error(e) from e
diff --git a/pydantic/fields.py b/pydantic/fields.py
index e96b44fc8be..0605e9e27a2 100644
--- a/pydantic/fields.py
+++ b/pydantic/fields.py
@@ -570,7 +570,9 @@ def deprecation_message(self) -> str | None:
         return self.deprecated if isinstance(self.deprecated, str) else self.deprecated.message
 
     @overload
-    def get_default(self, *, call_default_factory: Literal[True], validated_data: dict[str, Any]) -> Any: ...
+    def get_default(
+        self, *, call_default_factory: Literal[True], validated_data: dict[str, Any] | None = None
+    ) -> Any: ...
 
     @overload
     def get_default(self, *, call_default_factory: Literal[False] = ...) -> Any: ...
@@ -592,9 +594,11 @@ def get_default(self, *, call_default_factory: bool = False, validated_data: dic
         if self.default_factory is None:
             return _utils.smart_deepcopy(self.default)
         elif call_default_factory:
-            if validated_data is None:
-                raise ValueError("'validated_data' must be provided if 'call_default_factory' is True.")
             if _fields.takes_validated_data_argument(self.default_factory):
+                if validated_data is None:
+                    raise ValueError(
+                        "The default factory requires the 'validated_data' argument, which was not provided when calling 'get_default'."
+                    )
                 return self.default_factory(validated_data)
             else:
                 fac = cast(Callable[[], Any], self.default_factory)  # Pyright doesn't narrow correctly
diff --git a/pydantic/json_schema.py b/pydantic/json_schema.py
index f31280014a6..afbc1831c69 100644
--- a/pydantic/json_schema.py
+++ b/pydantic/json_schema.py
@@ -1495,7 +1495,7 @@ def _update_class_schema(self, json_schema: JsonSchemaValue, cls: type[Any], con
         from .main import BaseModel
         from .root_model import RootModel
 
-        if config_title := config.get('title'):
+        if (config_title := config.get('title')) is not None:
             json_schema.setdefault('title', config_title)
         elif model_title_generator := config.get('model_title_generator'):
             title = model_title_generator(cls)
diff --git a/pydantic/main.py b/pydantic/main.py
index 3885e3022c3..47959b8f235 100644
--- a/pydantic/main.py
+++ b/pydantic/main.py
@@ -223,34 +223,39 @@ def __init__(self, /, **data: Any) -> None:
     # The following line sets a flag that we use to determine when `__init__` gets overridden by the user
     __init__.__pydantic_base_init__ = True  # pyright: ignore[reportFunctionMemberAccess]
 
-    # TODO: V3 - remove `model_fields` and `model_computed_fields` properties from the `BaseModel` class - they should only
-    # be accessible on the model class, not on instances. We have these purely for backwards compatibility with Pydantic <v2.10.
-    # This is similar to the fact that we have __fields__ defined here (on `BaseModel`) and on `ModelMetaClass`.
-    @property
-    def model_fields(self) -> dict[str, FieldInfo]:
-        """Get metadata about the fields defined on the model.
-
-        Deprecation warning: you should be getting this information from the model class, not from an instance.
-        In V3, this property will be removed from the `BaseModel` class.
-
-        Returns:
-            A mapping of field names to [`FieldInfo`][pydantic.fields.FieldInfo] objects.
-        """
-        # Must be set for `GenerateSchema.model_schema` to work for a plain `BaseModel` annotation, hence the default here.
-        return getattr(self, '__pydantic_fields__', {})
+    if TYPE_CHECKING:
+        model_fields: ClassVar[dict[str, FieldInfo]]
+        model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]]
+    else:
+        # TODO: V3 - remove `model_fields` and `model_computed_fields` properties from the `BaseModel` class - they should only
+        # be accessible on the model class, not on instances. We have these purely for backwards compatibility with Pydantic <v2.10.
+        # This is similar to the fact that we have __fields__ defined here (on `BaseModel`) and on `ModelMetaClass`.
+        # Another problem here is that there's no great way to have class properties :(
+        @property
+        def model_fields(self) -> dict[str, FieldInfo]:
+            """Get metadata about the fields defined on the model.
+
+            Deprecation warning: you should be getting this information from the model class, not from an instance.
+            In V3, this property will be removed from the `BaseModel` class.
+
+            Returns:
+                A mapping of field names to [`FieldInfo`][pydantic.fields.FieldInfo] objects.
+            """
+            # Must be set for `GenerateSchema.model_schema` to work for a plain `BaseModel` annotation, hence the default here.
+            return getattr(self, '__pydantic_fields__', {})
 
-    @property
-    def model_computed_fields(self) -> dict[str, ComputedFieldInfo]:
-        """Get metadata about the computed fields defined on the model.
+        @property
+        def model_computed_fields(self) -> dict[str, ComputedFieldInfo]:
+            """Get metadata about the computed fields defined on the model.
 
-        Deprecation warning: you should be getting this information from the model class, not from an instance.
-        In V3, this property will be removed from the `BaseModel` class.
+            Deprecation warning: you should be getting this information from the model class, not from an instance.
+            In V3, this property will be removed from the `BaseModel` class.
 
-        Returns:
-            A mapping of computed field names to [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects.
-        """
-        # Must be set for `GenerateSchema.model_schema` to work for a plain `BaseModel` annotation, hence the default here.
-        return getattr(self, '__pydantic_computed_fields__', {})
+            Returns:
+                A mapping of computed field names to [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects.
+            """
+            # Must be set for `GenerateSchema.model_schema` to work for a plain `BaseModel` annotation, hence the default here.
+            return getattr(self, '__pydantic_computed_fields__', {})
 
     @property
     def model_extra(self) -> dict[str, Any] | None:
diff --git a/pydantic/networks.py b/pydantic/networks.py
index 33799578c06..ab590eaa18b 100644
--- a/pydantic/networks.py
+++ b/pydantic/networks.py
@@ -17,7 +17,7 @@
 
 from pydantic.errors import PydanticUserError
 
-from ._internal import _fields, _repr, _schema_generation_shared
+from ._internal import _repr, _schema_generation_shared
 from ._migration import getattr_migration
 from .annotated_handlers import GetCoreSchemaHandler
 from .json_schema import JsonSchemaValue
@@ -62,7 +62,7 @@
 
 
 @_dataclasses.dataclass
-class UrlConstraints(_fields.PydanticMetadata):
+class UrlConstraints:
     """Url constraints.
 
     Attributes:
@@ -96,7 +96,22 @@ def __hash__(self) -> int:
     @property
     def defined_constraints(self) -> dict[str, Any]:
         """Fetch a key / value mapping of constraints to values that are not None. Used for core schema updates."""
-        return {field.name: getattr(self, field.name) for field in fields(self)}
+        return {field.name: value for field in fields(self) if (value := getattr(self, field.name)) is not None}
+
+    def __get_pydantic_core_schema__(self, source: Any, handler: GetCoreSchemaHandler) -> core_schema.CoreSchema:
+        schema = handler(source)
+
+        # for function-wrap schemas, url constraints is applied to the inner schema
+        # because when we generate schemas for urls, we wrap a core_schema.url_schema() with a function-wrap schema
+        # that helps with validation on initialization, see _BaseUrl and _BaseMultiHostUrl below.
+        schema_to_mutate = schema['schema'] if schema['type'] == 'function-wrap' else schema
+        if annotated_type := schema_to_mutate['type'] not in ('url', 'multi-host-url'):
+            raise PydanticUserError(
+                f"'UrlConstraints' cannot annotate '{annotated_type}'.", code='invalid-annotated-type'
+            )
+        for constraint_key, constraint_value in self.defined_constraints.items():
+            schema_to_mutate[constraint_key] = constraint_value
+        return schema
 
 
 class _BaseUrl:
@@ -104,7 +119,7 @@ class _BaseUrl:
     _url: _CoreUrl
 
     def __init__(self, url: str | _CoreUrl | _BaseUrl) -> None:
-        self._url = _build_type_adapter(self.__class__).validate_python(url)
+        self._url = _build_type_adapter(self.__class__).validate_python(url)._url
 
     @property
     def scheme(self) -> str:
@@ -254,33 +269,21 @@ def build(
     def __get_pydantic_core_schema__(
         cls, source: type[_BaseUrl], handler: GetCoreSchemaHandler
     ) -> core_schema.CoreSchema:
-        if issubclass(cls, source):
-
-            def wrap_val(value, handler):
-                if isinstance(value, source):
-                    return value
-                if isinstance(value, _BaseUrl):
-                    value = str(value)
-                core_url = handler(value)
-                instance = source.__new__(source)
-                instance._url = core_url
-                return instance
-
-            return core_schema.no_info_wrap_validator_function(
-                wrap_val,
-                schema=core_schema.url_schema(**cls._constraints.defined_constraints),
-                serialization=core_schema.to_string_ser_schema(),
-            )
-        else:
-            schema = handler(source)
-            # TODO: this logic is used in types.py as well in the _check_annotated_type function, should we move that to somewhere more central?
-            if annotated_type := schema['type'] not in ('url', 'multi-host-url'):
-                raise PydanticUserError(
-                    f"'{cls.__name__}' cannot annotate '{annotated_type}'.", code='invalid-annotated-type'
-                )
-            for constraint_key, constraint_value in cls._constraints.defined_constraints.items():
-                schema[constraint_key] = constraint_value
-            return schema
+        def wrap_val(v, h):
+            if isinstance(v, source):
+                return v
+            if isinstance(v, _BaseUrl):
+                v = str(v)
+            core_url = h(v)
+            instance = source.__new__(source)
+            instance._url = core_url
+            return instance
+
+        return core_schema.no_info_wrap_validator_function(
+            wrap_val,
+            schema=core_schema.url_schema(**cls._constraints.defined_constraints),
+            serialization=core_schema.to_string_ser_schema(),
+        )
 
 
 class _BaseMultiHostUrl:
@@ -288,7 +291,7 @@ class _BaseMultiHostUrl:
     _url: _CoreMultiHostUrl
 
     def __init__(self, url: str | _CoreMultiHostUrl | _BaseMultiHostUrl) -> None:
-        self._url = _build_type_adapter(self.__class__).validate_python(url)
+        self._url = _build_type_adapter(self.__class__).validate_python(url)._url
 
     @property
     def scheme(self) -> str:
@@ -416,33 +419,21 @@ def build(
     def __get_pydantic_core_schema__(
         cls, source: type[_BaseMultiHostUrl], handler: GetCoreSchemaHandler
     ) -> core_schema.CoreSchema:
-        if issubclass(cls, source):
-
-            def wrap_val(value, handler):
-                if isinstance(value, source):
-                    return value
-                if isinstance(value, _BaseMultiHostUrl):
-                    value = str(value)
-                core_url = handler(value)
-                instance = source.__new__(source)
-                instance._url = core_url
-                return instance
-
-            return core_schema.no_info_wrap_validator_function(
-                wrap_val,
-                schema=core_schema.multi_host_url_schema(**cls._constraints.defined_constraints),
-                serialization=core_schema.to_string_ser_schema(),
-            )
-        else:
-            schema = handler(source)
-            # TODO: this logic is used in types.py as well in the _check_annotated_type function, should we move that to somewhere more central?
-            if annotated_type := schema['type'] not in ('url', 'multi-host-url'):
-                raise PydanticUserError(
-                    f"'{cls.__name__}' cannot annotate '{annotated_type}'.", code='invalid-annotated-type'
-                )
-            for constraint_key, constraint_value in cls._constraints.defined_constraints.items():
-                schema[constraint_key] = constraint_value
-            return schema
+        def wrap_val(v, h):
+            if isinstance(v, source):
+                return v
+            if isinstance(v, _BaseMultiHostUrl):
+                v = str(v)
+            core_url = h(v)
+            instance = source.__new__(source)
+            instance._url = core_url
+            return instance
+
+        return core_schema.no_info_wrap_validator_function(
+            wrap_val,
+            schema=core_schema.multi_host_url_schema(**cls._constraints.defined_constraints),
+            serialization=core_schema.to_string_ser_schema(),
+        )
 
 
 @lru_cache
diff --git a/pydantic/type_adapter.py b/pydantic/type_adapter.py
index 3de858642f8..b32c05cd3c4 100644
--- a/pydantic/type_adapter.py
+++ b/pydantic/type_adapter.py
@@ -4,6 +4,7 @@
 
 import sys
 from dataclasses import is_dataclass
+from types import FrameType
 from typing import (
     Any,
     Generic,
@@ -75,10 +76,44 @@ class TypeAdapter(Generic[T]):
 
     **Note:** `TypeAdapter` instances are not types, and cannot be used as type annotations for fields.
 
+    Args:
+        type: The type associated with the `TypeAdapter`.
+        config: Configuration for the `TypeAdapter`, should be a dictionary conforming to
+            [`ConfigDict`][pydantic.config.ConfigDict].
+
+            !!! note
+                You cannot provide a configuration when instantiating a `TypeAdapter` if the type you're using
+                has its own config that cannot be overridden (ex: `BaseModel`, `TypedDict`, and `dataclass`). A
+                [`type-adapter-config-unused`](../errors/usage_errors.md#type-adapter-config-unused) error will
+                be raised in this case.
+        _parent_depth: Depth at which to search for the [parent frame][frame-objects]. This frame is used when
+            resolving forward annotations during schema building, by looking for the globals and locals of this
+            frame. Defaults to 2, which will result in the frame where the `TypeAdapter` was instantiated.
+
+            !!! note
+                This parameter is named with an underscore to suggest its private nature and discourage use.
+                It may be deprecated in a minor version, so we only recommend using it if you're comfortable
+                with potential change in behavior/support. It's default value is 2 because internally,
+                the `TypeAdapter` class makes another call to fetch the frame.
+        module: The module that passes to plugin if provided.
+
     Attributes:
         core_schema: The core schema for the type.
-        validator (SchemaValidator): The schema validator for the type.
+        validator: The schema validator for the type.
         serializer: The schema serializer for the type.
+        pydantic_complete: Whether the core schema for the type is successfully built.
+
+    ??? tip "Compatibility with `mypy`"
+        Depending on the type used, `mypy` might raise an error when instantiating a `TypeAdapter`. As a workaround, you can explicitly
+        annotate your variable:
+
+        ```py
+        from typing import Union
+
+        from pydantic import TypeAdapter
+
+        ta: TypeAdapter[Union[str, int]] = TypeAdapter(Union[str, int])  # type: ignore[arg-type]
+        ```
 
     ??? info "Namespace management nuances and implementation details"
 
@@ -91,8 +126,8 @@ class TypeAdapter(Generic[T]):
         So instead we look at the globals in our parent stack frame.
 
         It is expected that the `ns_resolver` passed to this function will have the correct
-        namespace for the type we're adapting. See `TypeAdapter.__init__` and `TypeAdapter.rebuild`
-        for various ways to construct this namespace.
+        namespace for the type we're adapting. See the source code for `TypeAdapter.__init__`
+        and `TypeAdapter.rebuild` for various ways to construct this namespace.
 
         This works for the case where this function is called in a module that
         has the target of forward references in its scope, but
@@ -100,16 +135,14 @@ class TypeAdapter(Generic[T]):
 
         For example, take the following:
 
-        a.py
-        ```python
+        ```python {title="a.py"}
         from typing import Dict, List
 
         IntList = List[int]
         OuterDict = Dict[str, 'IntList']
         ```
 
-        b.py
-        ```python {test="skip"}
+        ```python {test="skip" title="b.py"}
         from a import OuterDict
 
         from pydantic import TypeAdapter
@@ -132,6 +165,11 @@ class TypeAdapter(Generic[T]):
         But at the very least this behavior is _subtly_ different from `BaseModel`'s.
     """
 
+    core_schema: CoreSchema
+    validator: SchemaValidator | PluggableSchemaValidator
+    serializer: SchemaSerializer
+    pydantic_complete: bool
+
     @overload
     def __init__(
         self,
@@ -163,41 +201,6 @@ def __init__(
         _parent_depth: int = 2,
         module: str | None = None,
     ) -> None:
-        """Initializes the TypeAdapter object.
-
-        Args:
-            type: The type associated with the `TypeAdapter`.
-            config: Configuration for the `TypeAdapter`, should be a dictionary conforming to [`ConfigDict`][pydantic.config.ConfigDict].
-            _parent_depth: Depth at which to search the for the parent namespace used for schema building.
-                We also use this as a reference level to find the global namespace (_parent_depth - 1).
-                Defaults to 2 because we expect to reference the frame that called the `TypeAdapter` constructor.
-            module: The module that passes to plugin if provided.
-
-        !!! note
-            You cannot use the `config` argument when instantiating a `TypeAdapter` if the type you're using has its own
-            config that cannot be overridden (ex: `BaseModel`, `TypedDict`, and `dataclass`). A
-            [`type-adapter-config-unused`](../errors/usage_errors.md#type-adapter-config-unused) error will be raised in this case.
-
-        !!! note
-            The `_parent_depth` argument is named with an underscore to suggest its private nature and discourage use.
-            It may be deprecated in a minor version, so we only recommend using it if you're
-            comfortable with potential change in behavior / support.
-
-        ??? tip "Compatibility with `mypy`"
-            Depending on the type used, `mypy` might raise an error when instantiating a `TypeAdapter`. As a workaround, you can explicitly
-            annotate your variable:
-
-            ```python
-            from typing import Union
-
-            from pydantic import TypeAdapter
-
-            ta: TypeAdapter[Union[str, int]] = TypeAdapter(Union[str, int])  # type: ignore[arg-type]
-            ```
-
-        Returns:
-            A type adapter configured for the specified `type`.
-        """
         if _type_has_config(type) and config is not None:
             raise PydanticUserError(
                 'Cannot use `config` when the type is a BaseModel, dataclass or TypedDict.'
@@ -210,14 +213,17 @@ def __init__(
         self._type = type
         self._config = config
         self._parent_depth = _parent_depth
+        self.pydantic_complete = False
 
-        self.core_schema: CoreSchema
-        self.validator: SchemaValidator | PluggableSchemaValidator
-        self.serializer: SchemaSerializer
-        self.pydantic_complete: bool = False
+        parent_frame = self._fetch_parent_frame()
+        if parent_frame is not None:
+            globalns = parent_frame.f_globals
+            # Do not provide a local ns if the type adapter happens to be instantiated at the module level:
+            localns = parent_frame.f_locals if parent_frame.f_locals is not globalns else {}
+        else:
+            globalns = {}
+            localns = {}
 
-        localns = _typing_extra.parent_frame_namespace(parent_depth=self._parent_depth) or {}
-        globalns = sys._getframe(max(self._parent_depth - 1, 1)).f_globals
         self._module_name = module or cast(str, globalns.get('__name__', ''))
         self._init_core_attrs(
             ns_resolver=_namespace_utils.NsResolver(
@@ -227,6 +233,17 @@ def __init__(
             force=False,
         )
 
+    def _fetch_parent_frame(self) -> FrameType | None:
+        frame = sys._getframe(self._parent_depth)
+        if frame.f_globals.get('__name__') == 'typing':
+            # Because `TypeAdapter` is generic, explicitly parametrizing the class results
+            # in a `typing._GenericAlias` instance, which proxies instantiation calls to the
+            # "real" `TypeAdapter` class and thus adding an extra frame to the call. To avoid
+            # pulling anything from the `typing` module, use the correct frame (the one before):
+            return frame.f_back
+
+        return frame
+
     def _init_core_attrs(
         self, ns_resolver: _namespace_utils.NsResolver, force: bool, raise_errors: bool = False
     ) -> bool:
@@ -332,8 +349,12 @@ def rebuild(
         Args:
             force: Whether to force the rebuilding of the type adapter's schema, defaults to `False`.
             raise_errors: Whether to raise errors, defaults to `True`.
-            _parent_namespace_depth: The depth level of the parent namespace, defaults to 2.
-            _types_namespace: The types namespace, defaults to `None`.
+            _parent_namespace_depth: Depth at which to search for the [parent frame][frame-objects]. This
+                frame is used when resolving forward annotations during schema rebuilding, by looking for
+                the locals of this frame. Defaults to 2, which will result in the frame where the method
+                was called.
+            _types_namespace: An explicit types namespace to use, instead of using the local namespace
+                from the parent frame. Defaults to `None`.
 
         Returns:
             Returns `None` if the schema is already "complete" and rebuilding was not required.
@@ -349,7 +370,7 @@ def rebuild(
         else:
             rebuild_ns = {}
 
-        # we have to manually fetch globals here because there's no type on the stack for the NsResolver
+        # we have to manually fetch globals here because there's no type on the stack of the NsResolver
         # and so we skip the globalns = get_module_ns_of(typ) call that would normally happen
         globalns = sys._getframe(max(_parent_namespace_depth - 1, 1)).f_globals
         ns_resolver = _namespace_utils.NsResolver(
diff --git a/pydantic/version.py b/pydantic/version.py
index 73523dfd3fc..9f16617f9be 100644
--- a/pydantic/version.py
+++ b/pydantic/version.py
@@ -4,7 +4,7 @@
 
 __all__ = 'VERSION', 'version_info'
 
-VERSION = '2.10.0'
+VERSION = '2.10.1'
 """The version of Pydantic."""
 
 
diff --git a/pyproject.toml b/pyproject.toml
index ee5c90a514e..8e2569ec117 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -46,7 +46,7 @@ requires-python = '>=3.8'
 dependencies = [
     'typing-extensions>=4.12.2',
     'annotated-types>=0.6.0',
-    'pydantic-core==2.27.0',
+    'pydantic-core==2.27.1',
 ]
 dynamic = ['version', 'readme']
 
diff --git a/tests/test_dataclasses.py b/tests/test_dataclasses.py
index f69600d6d31..91c1f7857bf 100644
--- a/tests/test_dataclasses.py
+++ b/tests/test_dataclasses.py
@@ -21,7 +21,6 @@
     BeforeValidator,
     ConfigDict,
     PydanticDeprecatedSince20,
-    PydanticSchemaGenerationError,
     PydanticUndefinedAnnotation,
     PydanticUserError,
     RootModel,
@@ -3054,21 +3053,15 @@ class Foo:
             __pydantic_config__ = ConfigDict(title='from __pydantic_config__')
 
 
-def test_do_not_leak_config_from_other_types_during_building() -> None:
-    """Regression test, where dataclasses without any config would use the precedent type's config."""
-
+def test_config_pushdown_vanilla_dc() -> None:
     class ArbitraryType:
         pass
 
     @dataclasses.dataclass
     class DC:
         a: ArbitraryType
-        b: str
-
-    with pytest.raises(PydanticSchemaGenerationError):
 
-        class Model(BaseModel):
-            model_config = ConfigDict(arbitrary_types_allowed=True)
+    class Model(BaseModel):
+        model_config = ConfigDict(arbitrary_types_allowed=True)
 
-            dc: DC
-            other: str
+        dc: DC
diff --git a/tests/test_forward_ref.py b/tests/test_forward_ref.py
index c7041997386..eb2247d4f0c 100644
--- a/tests/test_forward_ref.py
+++ b/tests/test_forward_ref.py
@@ -1302,14 +1302,12 @@ def inner():
         func_val(a=1)
 
 
-@pytest.mark.xfail(
-    reason='In `GenerateSchema`, only the current class module is taken into account. '
-    'This is similar to `test_uses_the_correct_globals_to_resolve_model_forward_refs`.'
-)
 def test_uses_the_correct_globals_to_resolve_forward_refs_on_serializers(create_module):
+    # Note: unlike `test_uses_the_correct_globals_to_resolve_model_forward_refs`,
+    # we use the globals of the underlying func to resolve the return type.
     @create_module
     def module_1():
-        from pydantic import BaseModel, field_serializer  # or model_serializer
+        from pydantic import BaseModel, field_serializer  # or model_serializer, computed_field
 
         MyStr = str
 
@@ -1317,7 +1315,7 @@ class Model(BaseModel):
             a: int
 
             @field_serializer('a')
-            def ser(self) -> 'MyStr':
+            def ser(self, value) -> 'MyStr':
                 return str(self.a)
 
     class Sub(module_1.Model):
diff --git a/tests/test_json_schema.py b/tests/test_json_schema.py
index bad671d1177..6555d07bac4 100644
--- a/tests/test_json_schema.py
+++ b/tests/test_json_schema.py
@@ -6609,3 +6609,12 @@ def test_warn_on_mixed_compose() -> None:
 
         class Model(BaseModel):
             field: Annotated[int, Field(json_schema_extra={'a': 'dict'}), Field(json_schema_extra=lambda x: x.pop('a'))]  # type: ignore
+
+
+def test_blank_title_is_respected() -> None:
+    class Model(BaseModel):
+        x: int
+
+        model_config = ConfigDict(title='')
+
+    assert Model.model_json_schema()['title'] == ''
diff --git a/tests/test_networks.py b/tests/test_networks.py
index 7935ae74253..f4a8111a6cc 100644
--- a/tests/test_networks.py
+++ b/tests/test_networks.py
@@ -6,6 +6,7 @@
 from typing_extensions import Annotated
 
 from pydantic import (
+    AfterValidator,
     AmqpDsn,
     AnyHttpUrl,
     AnyUrl,
@@ -1065,6 +1066,15 @@ def test_url_equality() -> None:
     )
 
 
+def test_equality_independent_of_init() -> None:
+    ta = TypeAdapter(HttpUrl)
+    from_str = ta.validate_python('http://example.com/something')
+    from_url = ta.validate_python(HttpUrl('http://example.com/something'))
+    from_validated = ta.validate_python(from_str)
+
+    assert from_str == from_url == from_validated
+
+
 def test_url_subclasses_any_url() -> None:
     http_url = AnyHttpUrl('https://localhost')
     assert isinstance(http_url, AnyUrl)
@@ -1072,3 +1082,26 @@ def test_url_subclasses_any_url() -> None:
 
     url = TypeAdapter(AnyUrl).validate_python(http_url)
     assert url is http_url
+
+
+def test_custom_constraints() -> None:
+    HttpUrl = Annotated[AnyUrl, UrlConstraints(allowed_schemes=['http', 'https'])]
+    ta = TypeAdapter(HttpUrl)
+    assert ta.validate_python('https://example.com')
+
+    with pytest.raises(ValidationError):
+        ta.validate_python('ftp://example.com')
+
+
+def test_after_validator() -> None:
+    def remove_trailing_slash(url: AnyUrl) -> str:
+        """Custom url -> str transformer that removes trailing slash."""
+        return str(url._url).rstrip('/')
+
+    HttpUrl = Annotated[
+        AnyUrl,
+        UrlConstraints(allowed_schemes=['http', 'https']),
+        AfterValidator(lambda url: remove_trailing_slash(url)),
+    ]
+    ta = TypeAdapter(HttpUrl)
+    assert ta.validate_python('https://example.com/') == 'https://example.com'
diff --git a/tests/test_type_adapter.py b/tests/test_type_adapter.py
index 8f30064d6a7..e9120c361e2 100644
--- a/tests/test_type_adapter.py
+++ b/tests/test_type_adapter.py
@@ -592,3 +592,19 @@ class SimpleDataclass:
 def test_ta_repr(type_: Any, repr_: str) -> None:
     ta = TypeAdapter(type_)
     assert repr(ta) == f'TypeAdapter({repr_})'
+
+
+def test_correct_frame_used_parametrized(create_module) -> None:
+    """https://github.com/pydantic/pydantic/issues/10892"""
+
+    @create_module
+    def module_1() -> None:
+        from pydantic import TypeAdapter
+
+        Any = int  # noqa: F841
+
+        # 'Any' should resolve to `int`, not `typing.Any`:
+        ta = TypeAdapter[int]('Any')  # noqa: F841
+
+    with pytest.raises(ValidationError):
+        module_1.ta.validate_python('a')
diff --git a/tests/test_types_typeddict.py b/tests/test_types_typeddict.py
index aeb137ef4bd..9cc77dc7c97 100644
--- a/tests/test_types_typeddict.py
+++ b/tests/test_types_typeddict.py
@@ -916,3 +916,16 @@ class Model(TypedDict):
     ta = TypeAdapter(Model)
 
     assert ta.validate_python({'x': 'ABC'}) == {'x': 'abc'}
+
+
+def test_config_pushdown_typed_dict() -> None:
+    class ArbitraryType:
+        pass
+
+    class TD(TypedDict):
+        a: ArbitraryType
+
+    class Model(BaseModel):
+        model_config = ConfigDict(arbitrary_types_allowed=True)
+
+        td: TD
diff --git a/tests/typechecking/base_model.py b/tests/typechecking/base_model.py
index bcbb979e5e5..cce005b6f14 100644
--- a/tests/typechecking/base_model.py
+++ b/tests/typechecking/base_model.py
@@ -2,7 +2,10 @@
 This file is used to test pyright's ability to check Pydantic's `BaseModel` related code.
 """
 
+from typing_extensions import assert_type
+
 from pydantic import BaseModel, Field
+from pydantic.fields import ComputedFieldInfo, FieldInfo
 
 
 class MyModel(BaseModel):
@@ -28,3 +31,8 @@ class Knight(BaseModel):
 
 
 k = Knight()  # type: ignore[call-arg]  # pyright: ignore[reportCallIssue]
+
+assert_type(Knight.model_fields, dict[str, FieldInfo])
+assert_type(Knight.model_computed_fields, dict[str, ComputedFieldInfo])
+assert_type(k.model_fields, dict[str, FieldInfo])
+assert_type(k.model_computed_fields, dict[str, ComputedFieldInfo])
diff --git a/uv.lock b/uv.lock
index 159cc06fad2..c6f9af14b48 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1324,7 +1324,7 @@ wheels = [
 
 [[package]]
 name = "pydantic"
-version = "2.10.0"
+version = "2.10.1"
 source = { editable = "." }
 dependencies = [
     { name = "annotated-types" },
@@ -1429,7 +1429,7 @@ typechecking = [
 requires-dist = [
     { name = "annotated-types", specifier = ">=0.6.0" },
     { name = "email-validator", marker = "extra == 'email'", specifier = ">=2.0.0" },
-    { name = "pydantic-core", specifier = "==2.27.0" },
+    { name = "pydantic-core", specifier = "==2.27.1" },
     { name = "typing-extensions", specifier = ">=4.12.2" },
     { name = "tzdata", marker = "python_full_version >= '3.9' and platform_system == 'Windows' and extra == 'timezone'" },
 ]
@@ -1521,112 +1521,112 @@ typechecking = [
 
 [[package]]
 name = "pydantic-core"
-version = "2.27.0"
+version = "2.27.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "typing-extensions" },
 ]
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