Update README.md

README.md

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 ## Dataset Overview
 This is a high-quality, executor-validated multi-turn tool-use dataset designed for training agentic language models on long-horizon function calling tasks. The dataset focuses on **argument-level cross-turn dependency grounding**, ensuring tool arguments are sourced from verifiable upstream context (initial state, prior tool returns, or user messages) rather than fabricated values.
 
+![image](https://cdn-uploads.huggingface.co/production/uploads/670a8557222579c05ec3005c/73LhGJl6YNl_mWetgM1yN.png)
+
+- Three stages: (1) FSM skeleton synthesis by $\mathcal{A}_{\text{FSM}}$ with provenance tags;
+- (2) per-call planning + executor execution by $\mathcal{A}_{\text{plan}} + \varepsilon$ (two-track output: executor args $\theta^{\text{exec}}$ + provenance metadata $\theta^{\text{prov}}$, parallel grouping, per-call retry);
+- (3) post-hoc dialogue synthesis by $\mathcal{A}_{\text{msg}}$.
+
 ## Basic Statistics
 | Item | Details |
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