# Supplementary Materials for "Unleashing Perception-Time Scaling to Visual Reasoning Model"

This directory provides supplementary materials for our paper, including benchmark datasets, training data and implementation code.

## 📁 DisTANCE

This folder contains the **DisTANCE benchmark**, proposed in our paper to evaluate visual estimation tasks requiring structured perception.

## 📁 training_data

This directory contains datasets used in the two-stage training process:
- `PTS_cold_start.json`: Structured perception data in PTS format used for supervised fine-tuning (SFT)
- `PTS_grpo.jsonl`: Ground-truth-only data used for reinforcement learning (GRPO phase)

## 📁 code

This folder contains the codebases used for each training stage:
- `LLaMA-Factory`: Adapted for supervised fine-tuning (SFT) using PTS data
- `EasyR1`: Used for GRPO-based reinforcement learning



