# Memory-T1: Temporal Reasoning with Reinforcement Learning–based Memory Retrieval

## Overview
This repository provides the core implementation of **Memory-T1**, a reinforcement learning–based memory retrieval framework designed for temporal reasoning in multi-session dialogue.  

Due to the large size of the original dataset, we only release **sample data** here for reproduction purposes. The sample data is sufficient to run the provided code and verify the workflow.  

## Contents
- `core/` : Core runnable code files for reproducing the main experiments.  
- `data/` : Example data for demonstration and verification.  
- `README.md` : This document.  

## Notes
- The released code and data allow you to reproduce the essential pipeline and validate the training/inference process.  
- Additional experiment code (e.g., extended ablations, scaling experiments) will be made fully available on GitHub **after the paper is accepted**.  
