Add text-generation pipeline tag and link paper in README

README.md

@@ -1,18 +1,18 @@
 ---
+base_model:
+- microsoft/FastContext-1.0-4B-RL
 language:
 - en
+library_name: onnxruntime-genai
 license: mit
+pipeline_tag: text-generation
 tags:
 - Explorer SubAgent
 - Repository Exploration
 - onnx
 - onnxruntime-genai
-library_name: onnxruntime-genai
-base_model:
-- microsoft/FastContext-1.0-4B-RL
 ---
 
-
 ## 1. Model Introduction
 
 **FastContext-1.0** is a lightweight **repository-exploration subagent** for LLM coding agents. Instead of letting a single model both explore the repository and solve the task, FastContext separates these two roles: it is invoked on demand by a main coding agent, issues **parallel read-only tool calls** (READ, GLOB, GREP), and returns **compact file paths and line ranges** as focused context.
@@ -24,7 +24,7 @@ The model family spans **4B–30B parameters**, bootstrapped from strong referen
 - **Backbones:** Qwen3-4B-Instruct (4B explorer) and Qwen3-Coder-30B-A3B (30B explorer)
 - **Variants:** `FC-4B-SFT`, `FC-4B-RL` (deployment targets), `FC-30B-SFT` (scaling reference)
 - **Context length:** up to 262K tokens
-- **Paper:** *FastContext: Training Efficient Repository Explorer for Coding Agents*
+- **Paper:** [FastContext: Training Efficient Repository Explorer for Coding Agents](https://arxiv.org/abs/2606.14066)
 - **Code & data:** https://github.com/microsoft/fastcontext
 
 ### How it works