docs: [cherry-pick 1.5.1] repair stale links blocking release CI

deploy/operator/docs/footer.md

@@ -344,7 +344,6 @@ For users who want to understand the implementation details or contribute to the
 - **Checkpoint / Restore**:
   - [`internal/checkpoint/podspec.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/checkpoint/podspec.go) - Checkpoint env var injection and volume setup
   - [`internal/checkpoint/resolve.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/checkpoint/resolve.go) - Checkpoint resolution logic
-  - [`internal/checkpoint/resource.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/checkpoint/resource.go) - Checkpoint resource management
 - **Constants & Annotations**: [`internal/consts/consts.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/consts/consts.go) - Defines annotation keys and other constants
 
 ## Notes

docs/fern/pages/recipes/model-recipes/kimi-k3.mdx

@@ -230,7 +230,7 @@ All four targets serve Kimi-K3 on vLLM with FP8 KV cache, KV-aware routing, pref
 
 - Source README: [recipes/kimi-k3/README.md](https://github.com/ai-dynamo/dynamo/blob/main/recipes/kimi-k3/README.md)
 - Aggregated GB200: [deploy.yaml](https://github.com/ai-dynamo/dynamo/blob/main/recipes/kimi-k3/vllm/agg-gb200-agentic/deploy.yaml)
-- Disaggregated GB200: [deploy.yaml](https://github.com/ai-dynamo/dynamo/blob/main/recipes/kimi-k3/vllm/disagg-gb200-agentic/deploy.yaml)
+- Disaggregated GB200: [deploy.yaml](https://github.com/ai-dynamo/dynamo/blob/release/1.5.0/recipes/kimi-k3/vllm/disagg-gb200-agentic/deploy.yaml)
 - Aggregated GB300: [deploy.yaml](https://github.com/ai-dynamo/dynamo/blob/main/recipes/kimi-k3/vllm/agg-gb300-agentic/deploy.yaml)
 - Disaggregated GB300: [deploy.yaml](https://github.com/ai-dynamo/dynamo/blob/main/recipes/kimi-k3/vllm/disagg-gb300-agentic/deploy.yaml)
 - Setup assets: [model-cache.yaml](https://github.com/ai-dynamo/dynamo/blob/main/recipes/kimi-k3/model-cache/model-cache.yaml) and [model-download.yaml](https://github.com/ai-dynamo/dynamo/blob/main/recipes/kimi-k3/model-cache/model-download.yaml)

docs/fern/pages/reference/kubernetes-api/additional-resources/api-reference-k8s.md

@@ -7,7 +7,7 @@
 > **⚠️ Important**: This documentation is automatically generated from source code.
 > Do not edit this file directly.
 
 # API Reference
 
 ## Packages
 - [nvidia.com/v1alpha1](#nvidiacomv1alpha1)
@@ -3869,7 +3869,6 @@
 - **Checkpoint / Restore**:
   - [`internal/checkpoint/podspec.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/checkpoint/podspec.go) - Checkpoint env var injection and volume setup
   - [`internal/checkpoint/resolve.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/checkpoint/resolve.go) - Checkpoint resolution logic
-  - [`internal/checkpoint/resource.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/checkpoint/resource.go) - Checkpoint resource management
 - **Constants & Annotations**: [`internal/consts/consts.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/consts/consts.go) - Defines annotation keys and other constants
 
 ## Notes

docs/fern/pages/reference/kubernetes-api/full-api-reference.mdx

@@ -5089,7 +5089,6 @@ For users who want to understand the implementation details or contribute to the
 - **Checkpoint / Restore**:
   - [`internal/checkpoint/podspec.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/checkpoint/podspec.go) - Checkpoint env var injection and volume setup
   - [`internal/checkpoint/resolve.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/checkpoint/resolve.go) - Checkpoint resolution logic
-  - [`internal/checkpoint/resource.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/checkpoint/resource.go) - Checkpoint resource management
 - **Constants & Annotations**: [`internal/consts/consts.go`](https://github.com/ai-dynamo/dynamo/blob/main/deploy/operator/internal/consts/consts.go) - Defines annotation keys and other constants
 
 ### Notes

docs/fern/pages/use-cases/reinforcement-learning/weight-updates.md

@@ -17,7 +17,7 @@ ModelExpress can stage a version from three sources:
 - **Artifact to inference:** an inference worker prepares a canonical checkpoint from S3, including the current exact-base XOR delta format, before engine installation.
 - **Inference to inference:** after an inference worker applies a version, a rank-compatible worker can pull that version from it instead of returning to the trainer.
 
-All three refit paths are Experimental. The [ModelExpress RL refit package](https://github.com/ai-dynamo/modelexpress/tree/main/modelexpress_client/python/modelexpress_rl) contains the current source strategies. The [Dynamo vLLM refit example](https://github.com/ai-dynamo/modelexpress/tree/main/examples/rl/dynamo_vllm_refit) validates the full-weight trainer-to-inference path only; it does not qualify the S3 delta path or every backend and topology. ModelExpress startup loading remains a separate boot and scale-out workflow.
+All three refit paths are Experimental. The [ModelExpress RL refit package](https://github.com/ai-dynamo/modelexpress/tree/main/modelexpress_client/python/modelexpress_rl) contains the current source strategies. The [Dynamo vLLM reshard refit example](https://github.com/ai-dynamo/modelexpress/tree/main/examples/rl/dynamo_vllm_reshard_refit) validates the full-weight trainer-to-inference path, and the [Dynamo vLLM S3 delta refit example](https://github.com/ai-dynamo/modelexpress/tree/main/examples/rl/dynamo_vllm_s3_delta_refit) exercises the artifact-to-inference path with a full snapshot followed by incremental deltas. Neither qualifies every backend and topology. ModelExpress startup loading remains a separate boot and scale-out workflow.
 
 > [!NOTE]
 > ModelExpress startup loading and live RL refit have different interfaces. vLLM 0.23 and later use the native `--load-format modelexpress`; `mx` remains a backward-compatible alias. Earlier plugin-based images generally use `mx`, while legacy split-loader images can expose `mx-source` and `mx-target`. Match the loader to the installed vLLM, ModelExpress package, and runtime image instead of inferring it from the refit API. See [Dynamo deprecations](../../reference/general/releases/deprecations.mdx) for the Dynamo-owned loader migration.