🔗 Update flattened page references

Author: github-actions[bot]

docs/data/analytics/hubble/analyst-guide/creating-visualizations.mdx

@@ -13,7 +13,7 @@ As you can see, persistent contract data entries account for roughly 25% of all
 
 ## Prerequisites
 
-1. Make sure you have connected to Hubble by following the instructions in the [Connecting](../developer-guide/connecting-to-bigquery/README.mdx) page
+1. Make sure you have connected to Hubble by following the instructions in the [Connecting](../developer-guide/connecting-to-bigquery.mdx) page
 2. You have access to [Google Looker Studio](https://cloud.google.com/looker-studio?hl=en)
 3. You have read and understand the general [Best Practices](./optimizing-queries.mdx#best-practices) for querying BigQuery data
 

docs/data/analytics/hubble/analyst-guide/queries-for-horizon-like-data.mdx

@@ -497,7 +497,7 @@ where true
 
 ## Liquidity Pools
 
-[horizon/liquidity_pools](../../../apis/horizon/api-reference/resources/liquiditypools/README.mdx)
+[horizon/liquidity_pools](../../../apis/horizon/api-reference/resources/liquiditypools.mdx)
 
 Liquidity Pools provide a simple, non-interactive way to trade large amounts of capital and enable high volumes of trading.
 

docs/data/analytics/hubble/developer-guide/backfill/JS-UDF.mdx

@@ -11,7 +11,7 @@ Use Cases:
 - Backfix for a new column added
 - Temporary extraction of fields not parsed by stellar-etl
 
-We'll take the example of extracting the `fee_account_muxed` field from a transaction envelope (`tx_meta` XDR). However, this method can be adapted to other fields as well. It is worth noting that most users will not need to standup and run their own Hubble. The Stellar Development Foundation provides public access to the data through the public datasets and tables in GCP BigQuery. Instructions on how to access this data can be found in the [Connecting](../../developer-guide/connecting-to-bigquery/README.mdx) section.
+We'll take the example of extracting the `fee_account_muxed` field from a transaction envelope (`tx_meta` XDR). However, this method can be adapted to other fields as well. It is worth noting that most users will not need to standup and run their own Hubble. The Stellar Development Foundation provides public access to the data through the public datasets and tables in GCP BigQuery. Instructions on how to access this data can be found in the [Connecting](../connecting-to-bigquery.mdx) section.
 
 We will use the [js-stellar-base](https://github.com/stellar/js-stellar-base) library to parse the XDR and employ JavaScript UDFs (User Defined Functions) in BigQuery to apply the transformation to the dataset.
 

docs/data/analytics/hubble/developer-guide/backfill/data-import.mdx

@@ -31,7 +31,7 @@ LOAD DATA INTO mydataset.transactions
 
 ## 2. Use BigQuery API / Console to Mirror SDF's Dataset
 
-The Stellar Development Foundation provides public access to fully transformed Stellar network data through the public datasets and tables in GCP BigQuery. Instructions on how to access this data can be found in the [Connecting](../../developer-guide/connecting-to-bigquery/README.mdx) section.
+The Stellar Development Foundation provides public access to fully transformed Stellar network data through the public datasets and tables in GCP BigQuery. Instructions on how to access this data can be found in the [Connecting](../connecting-to-bigquery.mdx) section.
 
 Use the [Create Table Copy statement](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#create_table_copy) to copy data across datasets.
 

docs/data/analytics/hubble/developer-guide/data-curation/overview.mdx

@@ -5,7 +5,7 @@ sidebar_position: 0
 
 Data curation in Hubble is done through [stellar-dbt-public](https://github.com/stellar/stellar-dbt-public). stellar-dbt-public transforms raw Stellar network data from BigQuery datasets and tables into aggregates for more user friendly analytics.
 
-It is worth noting that most users will not need to standup and run their own stellar-dbt-public instance. The Stellar Development Foundation provides public access to fully transformed Stellar network data through the public datasets and tables in GCP BigQuery. Instructions on how to access this data can be found in the [Connecting](../../developer-guide/connecting-to-bigquery/README.mdx) section.
+It is worth noting that most users will not need to standup and run their own stellar-dbt-public instance. The Stellar Development Foundation provides public access to fully transformed Stellar network data through the public datasets and tables in GCP BigQuery. Instructions on how to access this data can be found in the [Connecting](../connecting-to-bigquery.mdx) section.
 
 ## Why Run stellar-dbt-public?
 

docs/data/analytics/hubble/developer-guide/scheduling-and-orchestration/overview.mdx

@@ -5,7 +5,7 @@ sidebar_position: 0
 
 Hubble uses [stellar-etl-airflow](https://github.com/stellar/stellar-etl-airflow) to schedule and orchestrate all its workflows. This includes the scheduling and running of stellar-etl and stellar-dbt.
 
-It is worth noting that most users will not need to standup and run their own Hubble. The Stellar Development Foundation provides public access to the data through the public datasets and tables in GCP BigQuery. Instructions on how to access this data can be found in the [Connecting](../../developer-guide/connecting-to-bigquery/README.mdx) section.
+It is worth noting that most users will not need to standup and run their own Hubble. The Stellar Development Foundation provides public access to the data through the public datasets and tables in GCP BigQuery. Instructions on how to access this data can be found in the [Connecting](../connecting-to-bigquery.mdx) section.
 
 ## Why Run stellar-etl-ariflow?
 

docs/data/analytics/hubble/developer-guide/source-system-ingestion/overview.mdx

@@ -7,6 +7,6 @@ Stellar network data ingestion in Hubble is done through [stellar-etl](https://g
 
 | Use Case | Recommended Solution | Reason |
 | --- | --- | --- |
-| Need commonly required data fields and do not want to take burden of setting up entire pipeline | Use output from SDF's stellar-etl instance i.e. [Connect to Bigquery and access hubble](../../developer-guide/connecting-to-bigquery/README.mdx) | It is worth noting that most users will not need to standup and run their own stellar-etl instance. The Stellar Development Foundation provides public access to fully transformed Stellar network data through the public datasets and tables in GCP BigQuery. |
+| Need commonly required data fields and do not want to take burden of setting up entire pipeline | Use output from SDF's stellar-etl instance i.e. [Connect to Bigquery and access hubble](../connecting-to-bigquery.mdx) | It is worth noting that most users will not need to standup and run their own stellar-etl instance. The Stellar Development Foundation provides public access to fully transformed Stellar network data through the public datasets and tables in GCP BigQuery. |
 | Need custom data but do not want to take burden of setting up entire pipeline | Use [JS-UDF](../../developer-guide/backfill/JS-UDF.mdx) | Stellar-ETL does not parse every single field available in raw XDR, but it does save the raw transaction meta. JS-UDF helps to extract a field directly from XDR |
 | Need custom and operationally independent data | Run [stellar-etl](https://github.com/stellar/stellar-etl/tree/master) | Running stellar-etl within your own infrastructure provides a number of benefits. You can: <br></br> - Have full operational control without dependency on the Stellar Development Foundation for network data <br></br> - Run modified ETL/ELT pipelines that fit your individual business needs |

docs/platforms/anchor-platform/README.mdx

@@ -14,14 +14,14 @@ The Anchor Platform provides a set of tools and APIs for building on and off-ram
 
 The Anchor Platform implements the following Stellar Ecosystem Proposals:
 
-- **[SEP-1](sep-guide/sep1/README.mdx)** — Stellar.toml file serving for service discovery
+- **[SEP-1](sep-guide/sep1.mdx)** — Stellar.toml file serving for service discovery
 - **[SEP-6](sep-guide/sep6/README.mdx)** — Deposit and withdrawal operations
-- **[SEP-10](sep-guide/sep10/README.mdx)** — Web authentication using challenge/response transactions
+- **[SEP-10](sep-guide/sep10.mdx)** — Web authentication using challenge/response transactions
 - **SEP-12** — Customer KYC/AML data management
 - **[SEP-24](sep-guide/sep24/README.mdx)** — Interactive deposit and withdrawal flows
 - **[SEP-31](sep-guide/sep31/integration.mdx)** — Cross-border payment processing (receive only)
 - **SEP-38** — Price quotes and exchange rate services
-- **[SEP-45](sep-guide/sep45/README.mdx)** — Web authentication using challenge/responses for contract accounts
+- **[SEP-45](sep-guide/sep45.mdx)** — Web authentication using challenge/responses for contract accounts
 
 ## Key Features
 

docs/platforms/anchor-platform/admin-guide/events/integration.mdx

@@ -158,4 +158,4 @@ This configures the event service's callback API that will be used to send event
     - `http_header`: The header in which the API key will be sent.
 
 [default-values-file]: https://github.com/stellar/java-stellar-anchor-sdk/blob/develop/platform/src/main/resources/config/anchor-config-default-values.yaml
-[clients-config]: ../../sep-guide/sep10/README.mdx#config-with-client-attribution
+[clients-config]: ../../sep-guide/sep10.mdx#config-with-client-attribution

docs/platforms/anchor-platform/sep-guide/sep24/configuration.mdx

@@ -207,5 +207,5 @@ The demo wallet should be able to find your `stellar.toml` file, authenticate us
 [flyway]: https://documentation.red-gate.com/fd/redgate-flyway-documentation-138346877.html
 [sep-24-ref-ui]: https://github.com/stellar/sep24-reference-ui
 [sep-24-ref]: https://github.com/stellar/java-stellar-anchor-sdk/tree/develop/kotlin-reference-server
-[sep1-ap]: ../sep1/README.mdx
+[sep1-ap]: ../sep1.mdx
 [json-rpc-methods]: ../../api-reference/platform/rpc/methods/README.mdx