Remove library_name so HF stops advertising a joblib checkpoint that does not exist; add inference:false, dataset cross-link, arXiv tag

README.md

@@ -1,16 +1,26 @@
 ---
 license: mit
-library_name: sklearn
+# NOTE: library_name is deliberately NOT set. Declaring `sklearn` makes Hugging
+# Face render a "Use this model" widget with a joblib.load(...) snippet pointing
+# at a checkpoint file. This repository ships no checkpoint, by design (see
+# "Why no checkpoint is published" below), so that widget would send readers to
+# a file that does not exist.
+inference: false
+datasets:
+  - AgentsSci/EMNLP_Cost-Aware-Protocol-Routing
 tags:
   - research-artifact
   - llm-routing
   - multi-agent-systems
   - cost-aware-inference
   - protocol-selection
+  - calibration
+  - reasoning
+  - reproducibility
+  - arxiv:2608.14927
   - emnlp2026
 language:
   - en
-pipeline_tag: tabular-classification
 ---
 
 # Cost-Aware Protocol Routing — research artifact card
@@ -41,6 +51,12 @@ serialized model file**. The reason is stated honestly below.
 
 ### Why no checkpoint is published
 
+> **If you see a `joblib.load(...)` snippet on this page, ignore it.** Hugging
+> Face auto-generates a "Use this model" widget for scikit-learn repositories,
+> and it points at a `sklearn_model.joblib` that **does not exist here**. That
+> is not a broken upload: no checkpoint is published, deliberately, for the
+> reasons below.
+
 A trained metadata-only router exists in our internal results. We chose not to
 publish it: