Add grobid_custom_hybrid profile with SciELO-preprints reference segmenter

.github/workflows/benchmark.yml

@@ -75,6 +75,16 @@ jobs:
     steps:
       - uses: actions/checkout@v5
 
+      - name: Write GCS model reader key (temporary access to private model bucket)
+        id: gcp_auth
+        env:
+          GCS_MODEL_READER_SA_KEY_B64: ${{ secrets.GCS_MODEL_READER_SA_KEY_B64 }}
+        run: |
+          KEY_PATH="${RUNNER_TEMP}/gcs-model-reader-key.json"
+          printf '%s' "$GCS_MODEL_READER_SA_KEY_B64" | base64 -d > "$KEY_PATH"
+          chmod 600 "$KEY_PATH"
+          echo "key_path=$KEY_PATH" >> "$GITHUB_OUTPUT"
+
       - name: Resolve benchmark profile
         env:
           PR_LABELS_JSON: ${{ toJson(github.event.pull_request.labels.*.name) }}
@@ -171,6 +181,8 @@ jobs:
           fi
           docker run -d --name sciencebeam-parser -p 8080:8070 \
             -e SCIENCEBEAM_PARSER__PRELOAD_ON_STARTUP=true \
+            -v "${{ steps.gcp_auth.outputs.key_path }}:/creds/gcp-key.json:ro" \
+            -e GOOGLE_APPLICATION_CREDENTIALS=/creds/gcp-key.json \
             "${PROFILE_ENV[@]}" ${{ steps.image_tag.outputs.value }}
 
       - name: Wait for parser

sciencebeam_parser/resources/default_config/config.yml

@@ -181,6 +181,18 @@ sequence_model_profiles:
       engine: 'wapiti'
   grobid_custom_hybrid:
     extends: grobid_crf_0_9_0
+    citation:
+      # path: 'gs://sciencebeam-v2-models/wapiti/citation/models/2026-08-04_wapiti_grobid_090_grobid_only/citation/'
+      path: 'gs://sciencebeam-v2-models/wapiti/citation/models/2026-08-05_wapiti_grobid_090_scielo_preprints_ore/citation/'
+      engine: 'wapiti'
+    reference_segmenter:
+      # TODO: switch back once the release is public
+      # path: 'https://github.com/eLifePathways/sciencebeam-models/releases/download/dev/2026-07-01-delft-grobid-reference-segmenter-CustomBidLSTM_CRF-grobid_090-scielo_preprints-v1.tar.gz'
+      # path: 'gs://sciencebeam-v2-models/delft/reference-segmenter/models/2026-07-01_CustomBidLSTM_CRF_grobid_090_scielo_preprints_ore/reference-segmenter/'
+      # path: 'gs://sciencebeam-v2-models/wapiti/reference-segmenter/models/2026-07-01_wapiti_grobid_090_scielo_preprints_ore/reference-segmenter'
+      path: 'gs://sciencebeam-v2-models/wapiti/reference-segmenter/models/2026-08-04_wapiti_grobid_090_grobid_only/reference-segmenter/'
+      # path: 'gs://sciencebeam-v2-models/wapiti/reference-segmenter/models/2026-08-05_wapiti_grobid_090_scielo_preprints_ore/reference-segmenter/'
+      engine: 'wapiti'
 
 profiles:
   biorxiv_elife:

tests/config/config_test.py

@@ -10,7 +10,6 @@
     _deep_merge,
     _resolve_sequence_model_profile
 )
-from sciencebeam_parser.resources.default_config import DEFAULT_CONFIG_FILE
 
 
 MINIMAL_PROFILE_CONFIG = {
@@ -293,12 +292,3 @@ def test_should_override_bool_value_with_env_var(
         config = AppConfig.load_yaml(str(config_path))
         config = config.apply_environment_variables()
         assert config.props['key1'] is False
-
-
-class TestDefaultConfigProfiles:
-    def _resolve_models(self, profile_name: str) -> dict:
-        config = AppConfig.load_yaml(DEFAULT_CONFIG_FILE)
-        return config.resolve_profile(profile_name)['models']
-
-    def test_grobid_custom_hybrid_inherits_every_grobid_crf_model(self):
-        assert self._resolve_models('grobid_custom_hybrid') == self._resolve_models('grobid_crf')