Fix links (#1040)

docs/clearml_data/clearml_data_sdk.md

@@ -331,7 +331,7 @@ Dataset.rename(
 ```
 
 ## Moving Datasets to Another Project
-Move a dataset to another project using the [`Dataset.move_to_project()`](../references/sdk/dataset.md#datasetmove_to_projetc) 
+Move a dataset to another project using the [`Dataset.move_to_project()`](../references/sdk/dataset.md#datasetmove_to_project) 
 class method. All the datasets with the given `dataset_project` and `dataset_name` will be moved to the new dataset 
 project. 
 

docs/clearml_serving/clearml_serving_tutorial.md

@@ -88,7 +88,7 @@ Uploading an existing model file into the model repository can be done via the `
 or with the `clearml-serving` CLI. 
 
 1. Upload the model file to the `clearml-server` file storage and register it. The `--path` parameter is used to input 
-   the path to a local model file (local model created in [step 1](#step-1--train-model) located in `./sklearn-model.pkl`).
+   the path to a local model file (local model created in [step 1](#step-1-train-model) located in `./sklearn-model.pkl`).
 
    ```bash
    clearml-serving --id <service_id> model upload --name "manual sklearn model" --project "serving examples" --framework "scikitlearn" --path ./sklearn-model.pkl

docs/fundamentals/artifacts.md

@@ -25,7 +25,7 @@ cleaning task logs its clean dataset for use by a subsequent training task).
 ## Logging Artifacts
 ClearML automatically logs artifacts created by popular frameworks, including TensorFlow and PyTorch. See [supported frameworks](../clearml_sdk/task_sdk.md#automatic-logging).
 
-You can also log any other object using [`Task.upload_artifact()`](../references/sdk/task.md#upload_)artifact. See 
+You can also log any other object using [`Task.upload_artifact()`](../references/sdk/task.md#upload_artifact). See 
 the [Artifacts Reporting](../guides/reporting/artifacts.md) example for details.
 
 ClearML can be configured to upload artifacts to any supported types of storage, which include local and shared folders, 

docs/guides/pipeline/pipeline_decorator.md

@@ -39,8 +39,8 @@ In the example script, the controller defines the interactions between the pipel
 
 :::info Local Execution
 In this example, the pipeline is set to run in local mode by using 
-the <span class="link-code"><a href="../../references/sdk/automation_controller_pipelinecontroller#pipelinedecoratorrun_locally"><code>PipelineDecorator.run_locally</code></a></span>
-method before calling the pipeline function. See pipeline execution options [here](../../pipelines/pipelines_sdk_function_decorators.md#running-the-pipeline). 
+[`PipelineDecorator.run_locally()`](../../references/sdk/automation_controller_pipelinecontroller.md#pipelinedecoratorrun_locally)
+before calling the pipeline function. See pipeline execution options [here](../../pipelines/pipelines_sdk_function_decorators.md#running-the-pipeline). 
 :::
 
 ## Pipeline Steps 

docs/hyperdatasets/webapp/webapp_dataviews.md

@@ -2,7 +2,7 @@
 title: The Dataview table
 ---
 
-The **Dataview table** is a [customizable](#customizing-the-dataviews-table) list of Dataviews associated with a project.
+The **Dataview table** is a [customizable](#customizing-the-dataview-table) list of Dataviews associated with a project.
 Use it to view and create Dataviews, and access their info panels. 
 
 The table lists independent Dataview objects. To see Dataviews logged by a task, go

docs/integrations/splunk.md

@@ -137,7 +137,7 @@ Configure the ClearML server to send API logs to Splunk using [Docker Compose](#
 To exclude specific API calls from the Splunk logs, add an environment variable with the following 
 format: `CLEARML__apiserver__endpoints__<SERVICE>__<METHOD>__log_call` and set it to `false`.
 
-For example, the configuration below for servers on K8s Helm exclude the [`POST /debug.ping`](../references/api/debug.md##post-debugping) 
+For example, the configuration below for servers on K8s Helm exclude the [`POST /debug.ping`](../references/api/debug.md#post-debugping) 
 call from the Splunk logs:
 
 ```

docs/webapp/settings/webapp_settings_access_rules.md

@@ -26,7 +26,7 @@ Access privileges can be viewed, defined, and edited in the **Access Rules** tab
    specific project or task), click the input box, and select the object from the list that appears. Filter the 
    list by typing part of the desired object name
 1. Select the permission type - **Read Only** or **Read & Modify**
-1. Assign users, [service accounts](webapp_settings_access_rules.md#service-accounts), and/or [user groups](webapp_settings_users.md#user-groups) 
+1. Assign users, [service accounts](webapp_settings_users.md#service-accounts), and/or [user groups](webapp_settings_users.md#user-groups) 
    to be given access. Click the 
    desired input box, and select the users / service accounts / groups from the list that appears. Filter the list by 
    typing part of the desired object name. To revoke 

docs/webapp/settings/webapp_settings_overview.md

@@ -12,7 +12,7 @@ The Settings page consists of the following sections:
   * [Profile](webapp_settings_profile.md#profile) - You basic user information
   * [Configuration](webapp_settings_profile.md#configuration) - Control general system behavior settings and input storage access credentials
   * [Workspace](webapp_settings_profile.md#workspace)  
-      * [ClearML credentials](webapp_settings_profile.md#clearml-credentials) - Create client credentials for ClearML and ClearML Agent to use 
+      * [ClearML credentials](webapp_settings_profile.md#clearml-api-credentials) - Create client credentials for ClearML and ClearML Agent to use 
       * [Configuration vault](webapp_settings_profile.md#configuration-vault) (ClearML Enterprise Server) - Define global ClearML client settings
         that are applied to all ClearML and ClearML Agent instances (which use the workspace's access 
         credentials)

docs/webapp/settings/webapp_settings_users.md

@@ -137,7 +137,7 @@ To apply vault contents:
 * Click the toggle atop the vault to enable / disable the configurations
 * Once enabled, the configurations will be merged to the configuration file during ClearML and ClearML Agent usage
 
-In addition to the service account-specific configuration vault, [administrator vaults](#administrator-vaults) can also 
+In addition to the service account-specific configuration vault, [administrator vaults](webapp_settings_admin_vaults.md) can also 
 be applied to service accounts. See all the vaults applied to the account in the **Applied administrator vaults** below 
 the configuration vault.   
 

docs/webapp/webapp_exp_track_visual.md

@@ -323,6 +323,8 @@ a `Summary` table.
 ![Single value scalar plot](../img/webapp_single_scalar_plot.png#light-mode-only)
 ![Single value scalar plot](../img/webapp_single_scalar_plot_dark.png#dark-mode-only)
 
+#### Scalar Plot Tools
+
 Use the scalar tools to improve analysis of scalar metrics. In the info panel, click <img src="/docs/latest/icons/ico-settings.svg" alt="Settings gear" className="icon size-md space-sm" /> to use the tools. In the full screen details view, the tools
 are on the left side of the window. The tools include:
 

docs/webapp/webapp_model_comparing.md

@@ -46,7 +46,7 @@ models update. The Enterprise Plan and Hosted Service support embedding resource
 The comparison tabs provides the following views:
 * [Side-by-side textual comparison](#side-by-side-textual-comparison)
 * [Tabular scalar comparison](#tabular-scalar-comparison)
-* [Merged plot comparison](#graphic-comparison) 
+* [Merged plot comparison](#plot-comparison) 
 * [Side-by-side graphic comparison](#graphic-comparison)