diff --git a/paper/paper.md b/paper/paper.md
index 8451c10..51d8336 100644
--- a/paper/paper.md
+++ b/paper/paper.md
@@ -1,5 +1,5 @@
 ---
-title: 'OpenCap Visualizer: A Web-Based Platform for Interactive Biomechanics Visualization and Automated Video Creation'
+title: 'OpenCap Visualizer: A Web-Based Platform for Scriptable, Real-Time, and Interactive Visualization of Biomechanics Data'
 tags:
   - Python
   - JavaScript
@@ -26,12 +26,6 @@ date: 30 March 2026
 bibliography: paper.bib
 ---
 
-<!-- Other title options that I think are a bit clearer:
-OpenCap Visualizer: A Web-Based Platform for Scriptable, Real-Time, and Interactive Visualization of Biomechanics Data
-
-OpenCap Visualizer: A Web-Based Platform for Scriptable and Real-Time Visualization of Biomechanics Data
--->
-
 # Summary
 
 Biomechanics research relies on visualizing 3D movement data to interpret and validate results, but traditional desktop-based graphical user interfaces (GUIs) have become a bottleneck as the scale of biomechanics datasets grows and processing increasingly moves to cloud-based servers. Current GUIs require extensive manual interaction to load models and motions, configure scenes, and export media. To resolve these challenges, we created OpenCap Visualizer, a web-based platform and Python package that enables both interactive 3D visualization, real-time streaming, and programmatic video generation.
@@ -86,7 +80,7 @@ OpenCap Visualizer provides installation-free 3D visualization directly in the b
 
 ## 2. Live Streaming of Kinematics
 
-In addition to offline playback, the visualizer supports real-time streaming of OpenSim-based kinematics via a lightweight Python WebSocket server. Incoming frames are incrementally rendered in the browser (\autoref{fig:livestream}). Multiple concurrent streams (e.g., predicted vs. reference motion; \autoref{fig:multisubject}) can be displayed simultaneously. This enables real-time monitoring of inverse kinematics, model validation during data collection, and flexible visualization of results from real-time inverse kinematics pipelines such as OpenSenseRT [@opensenseRT]. Example commands for real-time streaming include:
+In addition to offline playback, the visualizer supports real-time streaming of OpenSim-based kinematics via a lightweight Python WebSocket server. Stream setup and frame helpers (e.g., `build_live_init_dict`, `send_live_init`, `send_live_frame`) are included in the **opencap-visualizer** pip package ([PyPI](https://pypi.org/project/opencap-visualizer)). Incoming frames are incrementally rendered in the browser (\autoref{fig:livestream}). Multiple concurrent streams (e.g., predicted vs. reference motion; \autoref{fig:multisubject}) can be displayed simultaneously. This enables real-time monitoring of inverse kinematics, model validation during data collection, and flexible visualization of results from real-time inverse kinematics pipelines such as OpenSenseRT [@opensenseRT]. Example usage from the package includes:
 
 ```python
 import asyncio