[Bug]: PySDK V3: pydantic-core (2.42.0) incompatibility with sagemaker.ai_registry dataset import

**PySDK Version**
- [ ] PySDK V3 (3.x)

**Describe the bug**
Fails with error below to import `from sagemaker.ai_registry.dataset import DataSet `
`SystemError: The installed pydantic-core version (2.42.0) is incompatible with the current pydantic version, which requires 2.41.5. If you encounter this error, make sure that you haven't upgraded pydantic-core manually.`
**To reproduce**
Run the below code in SageMakerAI Studio notebooks

!pip install --force-reinstall sagemaker sagemaker-serve sagemaker-mlops sagemaker-train sagemaker-core
or
!pip install 'sagemaker>=3.0,<4.0' boto3 pydantic-core -q --force-reinstall --no-deps # failed

from sagemaker.ai_registry.dataset import DataSet

**Expected behavior**
Fails with error below to import `from sagemaker.ai_registry.dataset import DataSet `
`SystemError: The installed pydantic-core version (2.42.0) is incompatible with the current pydantic version, which requires 2.41.5. If you encounter this error, make sure that you haven't upgraded pydantic-core manually.`

**Screenshots or logs**
If applicable, add screenshots or logs to help explain your problem.

**System information**
A description of your system. Please provide:
- **SageMaker Python SDK version**: V3
- **Framework name (eg. PyTorch) or algorithm (eg. KMeans)**:
- **Framework version**:
- **Python version**:
- **CPU or GPU**: SageMakerAI Studio notebooks
- **Custom Docker image (Y/N)**: N

**Additional context**
Add any other context about the problem here.

Start by reproducing the import from sagemaker.ai_registry.dataset after running the listed pip commands in a SageMaker AI Studio notebook. Inspect the package dependency declarations for sagemaker, sagemaker-core, and pydantic to identify the incompatible pydantic-core constraint. Done means the installation commands complete and importing DataSet no longer raises the reported version error.

Written by the indexing model from the issue text.