docs: point stale resources-server config paths at files on main

fern/versions/latest/pages/contribute/rl-framework-integration/gym-rl-framework-integration-success-criteria.mdx

@@ -35,7 +35,7 @@ Train on the DAPO17k math training environment and verify model improvement on A
 
 | Parameter | Value |
 | --- | --- |
-| Training environment | [DAPO17k math environment](https://github.com/NVIDIA-NeMo/Gym/blob/299e8c04f4a3bbf0f6069139092225f2fe3aa70f/resources_servers/math_with_judge/configs/bytedtsinghua_dapo17k.yaml) |
+| Training environment | [DAPO17k math environment](https://github.com/NVIDIA-NeMo/Gym/blob/main/resources_servers/math_with_judge/configs/dapo17k.yaml) |
 | Base model | [Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) |
 | Minimum training steps | 1,000 |
 | Validation set | AIME24 (included with training environment) |

fern/versions/latest/pages/reference/cli-commands.mdx

@@ -692,7 +692,7 @@ Pre-warm per-server venvs without starting any servers. Accepts the same config
 
 ```bash
 config_paths="responses_api_models/local_vllm_model/configs/local_vllm_model.yaml,\
-resources_servers/math/configs/math.yaml"
+resources_servers/math_with_judge/configs/math_with_judge.yaml"
 gym env prefetch "+config_paths=[${config_paths}]"
 ```
 

fern/versions/latest/pages/reference/faq.mdx

@@ -38,7 +38,7 @@ You will only need to manually input the `{dataset_name}` portion of the above w
 
 To upload to Hugging Face, use the below command:
 ```bash
-resource_config_path="resources_servers/multineedle/configs/multineedle.yaml"
+resource_config_path="resources_servers/example_multi_step/configs/example_multi_step.yaml"
 gym dataset upload \
     --name {your dataset name} \
     --input data/multineedle_benchmark.jsonl \
@@ -50,7 +50,7 @@ Because of the required dataset nomenclature, the resources server config path i
 By default, the `split` parameter for uploading is set to `train`, which will run a check on the required fields `{"responses_create_params"}`. Specifying `validation` or `test` bypasses this check:
 
 ```bash
-resource_config_path="resources_servers/multineedle/configs/multineedle.yaml"
+resource_config_path="resources_servers/example_multi_step/configs/example_multi_step.yaml"
 gym dataset migrate \
     --name {your dataset name} \
     --input data/multineedle_benchmark_validation.jsonl \
@@ -88,7 +88,7 @@ The commit_message and commit_description parameters work for both direct pushes
 ## Deleting Datasets from GitLab
 You can optionally pass a `+delete_from_gitlab=true` flag to the above command, which will delete the model and all of its artifacts from GitLab. By default, this is set to `False`.
 ```bash
-resource_config_path="resources_servers/multineedle/configs/multineedle.yaml"
+resource_config_path="resources_servers/example_multi_step/configs/example_multi_step.yaml"
 gym dataset upload \
     +dataset_name={your dataset name} \
     +input_jsonl_fpath=data/multineedle_benchmark.jsonl \
@@ -105,7 +105,7 @@ There will be a confirmation dialog to confirm the deletion:
 You can also run the below command which does the same thing without the need for a `+delete_from_gitlab` flag:
 
 ```bash
-resource_config_path="resources_servers/multineedle/configs/multineedle.yaml"
+resource_config_path="resources_servers/example_multi_step/configs/example_multi_step.yaml"
 gym dataset migrate \
     --name {your dataset name} \
     --input data/multineedle_benchmark.jsonl \

nemo_gym/cli/env.py

@@ -1021,7 +1021,7 @@ def prefetch(
     ```bash
     # Pre-warm venvs for a specific config
     config_paths="responses_api_models/local_vllm_model/configs/local_vllm_model.yaml,\\
-    resources_servers/math/configs/math.yaml"
+    resources_servers/math_with_judge/configs/math_with_judge.yaml"
     gym env prefetch "+config_paths=[${config_paths}]"
     ```
     """

tests/unit_tests/test_fern_docs_links.py

@@ -331,6 +331,29 @@ def test_internal_pages_are_linked_by_path_not_by_absolute_url(self):
 
         self.assertEqual([], absolute_links)
 
+    def test_cited_resources_server_configs_exist(self):
+        """Every `resources_servers/<name>/configs/<file>.yaml` a latest page cites must exist on main.
+
+        `my_weather_tool` is skipped: the single-step environment tutorial has the reader create it.
+        Scoped to `latest`. The frozen versions cite paths that have since been renamed.
+        """
+        pages = REPO_ROOT / "fern/versions/latest/pages"
+        tutorial_created = {"my_weather_tool"}
+        cited = 0
+        missing = []
+
+        for page in pages.rglob("*.mdx"):
+            for line_number, line in enumerate(page.read_text().splitlines(), start=1):
+                for match in re.finditer(r"resources_servers/([a-z0-9_]+)/configs/[A-Za-z0-9_.-]+\.yaml", line):
+                    if match.group(1) in tutorial_created:
+                        continue
+                    cited += 1
+                    if not (REPO_ROOT / match.group(0)).is_file():
+                        missing.append(f"{page.relative_to(REPO_ROOT)}:{line_number}: {match.group(0)}")
+
+        self.assertEqual([], missing)
+        self.assertGreater(cited, 0)
+
     def test_private_cli_compat_api_link_redirects_to_the_public_cli_page(self):
         redirects = read("fern/docs.yml")
         expected_redirect = """  - source: "/nemo/gym/nemo-gym/nemo_gym/cli/_compat"