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+# Artifact README Template
+
+> Artifact for paper: **<Paper Title>**
+
+_NOTE for authors: The [Open Science](./docs/supplements/OpenScience.md) page in the Empirical Standard provides additional information on criteria and examples of good artifacts. Please take a moment to review it._
+
+
+## Preprint
+
+<!-- 
+For single-blind review (reviewers know author identities):
+  Provide a direct link to the online preprint 
+-->
+[Download the preprint from ArXiv/DOI/etc.](https://arxiv.org/abs/xxxx.xxxxx)
+
+<!-- 
+For double-blind review (reviewers don't know author identities):
+  Include the PDF directly in the artifact and reference it locally
+  Do NOT include any identifying information or links that would reveal author identities
+-->
+[Access the anonymized preprint](./docs/preprint.pdf)
+
+<!-- Choose ONE of the above options based on your venue's review model and DELETE the other -->
+
+## Table of Contents
+
+1. [Overview](#overview)
+2. [Claim-to-Artifact Traceability](#claim-to-artifact-traceability)
+3. [Repository Structure](#repository-structure)
+4. [Getting Started](#getting-started)
+5. [Usage](#usage)
+6. [Artifact Contents](#artifact-contents)
+7. [Citations](#citations)
+8. [License](#license)
+9. [Contact](#contact)
+
+## Overview
+
+Briefly describe the artifact, its purpose, and how it supports the claims or contributions of the paper.
+
+## Claim-to-Artifact Traceability
+
+This table maps key paper sections or claims to corresponding artifact components. It ensures reproducibility and transparency.
+
+| Paper Section / Claim                 | Artifact Component        | Location                   |
+| ------------------------------------- | ------------------------- | -------------------------- |
+| Claim 1 (e.g., RQ1: data stats)       | Data preprocessing script | `scripts/preprocess.py`    |
+| Claim 2 (e.g., RQ2: model evaluation) | Evaluation notebook       | `notebooks/evaluate.ipynb` |
+| Claim 3 (e.g., RQ3: visualization)    | Plotting utility          | `scripts/plot_results.py`  |
+| ...                                   | ...                       | ...                        |
+
+Here is a screenshot illustrating this mapping, taken from [ICSE'23 Paper: An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry](https://github.com/PurdueDualityLab/ICSE-23-PTM-Artifact)
+
+![Traceability Screenshot](./assets/img/Traceability_screenshot.png)
+
+## Repository Structure
+
+Describe the top-level and important subdirectories:
+
+```plaintext
+.
+├── scripts/          # Python scripts for data processing and analysis
+├── data/             # Raw and processed datasets
+│   ├── raw/
+│   └── processed/
+├── notebooks/        # Jupyter notebooks for exploration and evaluation
+├── results/          # Generated figures and tables
+├── docs/             # Documentation and supplementary materials
+└── README.md         # This file
+```
+
+## Getting Started
+
+### Prerequisites
+
+* Python 3.x (e.g., 3.8 or higher)
+* Conda or virtualenv
+* Docker (optional, for containerized runs)
+
+### Installation
+
+<!-- If installation is required, please provide a Dockerfile or a script to install the dependencies. -->
+
+1. Using virtual environment:
+```bash
+# Create and activate environment
+conda create -n <env_name> python=3.8
+conda activate <env_name>
+# Install dependencies
+pip install -r requirements.txt
+```
+
+2. Using Docker:
+
+```bash
+docker build -t <image_name> .
+docker run -it -v $(pwd):/app -w /app <image_name> bash
+```
+
+## Usage
+
+### 1. Data Preparation
+
+```bash
+python scripts/preprocess.py \
+  --input data/raw \
+  --output data/processed
+```
+
+### 2. Analysis
+
+```bash
+python scripts/analyze.py \
+  --data data/processed \
+  --output results/figures
+```
+
+### 3. Reproduce Notebooks & Figures
+
+```bash
+python scripts/generate_figures.py
+```
+
+## To cite this work
+
+**APA Citation:**
+
+> Author, A., & Author, B. (Year). *<Paper Title>*. *Conference/Journal Name*.
+
+**BibTeX:**
+
+```bibtex
+@inproceedings{yourkey,
+  title={Your Paper Title},
+  author={Author, A. and Author, B.},
+  booktitle={Conference/Journal},
+  year={Year},
+  ...
+}
+```
+
+## License
+
+<!-- Specify the license under which the artifact is released (e.g., MIT, Apache 2.0). -->
+
+## Contact
+
+For questions or issues, please contact:
+
+* **Lead Author:** [Name](mailto:author@example.com)
+* **Repository Issues:** `https://github.com/yourorg/yourartifact/issues`
diff --git a/tab_04_supplements.md b/tab_04_supplements.md
index 4af62b2..62d29f9 100644
--- a/tab_04_supplements.md
+++ b/tab_04_supplements.md
@@ -79,6 +79,7 @@ function openSupplementFromURL(evt) {
     <li>
       <h3>Other</h3>
 	  <ul>
+	    <li><a id="ArtifactTemplate_b" class="tablinks" href="#" onclick="openSupplement(event, 'ArtifactTemplate')">Artifact Template</a></li>
 	    <li><a id="InformationVisualization_b" class="tablinks" href="#" onclick="openSupplement(event, 'InformationVisualization')">Information Visualization</a></li>
 	    <li><a id="InterRaterReliabilityAndAgreement_b" class="tablinks" href="#" onclick="openSupplement(event, 'InterRaterReliabilityAndAgreement')">Inter-Rater Reliability and Agreement</a></li>
 	    <li><a id="OpenScience_b"	class="tablinks" href="#" onclick="openSupplement(event, 'OpenScience')">Open Science</a></li>
@@ -112,6 +113,13 @@ function openSupplementFromURL(evt) {
   </p>
 </div>
 
+<div id="ArtifactTemplate" class="tabcontent">
+  <p>
+    {% capture std %}{% include_relative docs/supplements/ArtifactTemplate.md %}{% endcapture %}
+    {{ std | replace: '- [ ]', '-' | markdownify }}
+  </p>
+</div>
+
 <div id="InformationVisualization" class="tabcontent">
   <p>
     {% capture std %}{% include_relative docs/supplements/InformationVisualization.md %}{% endcapture %}