PersonaTrace: Synthesizing Realistic Digital Footprints with LLM Agents

Export BriefConnect with Author
View PDF ↗
PDF Viewer
Open Full PDF

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (24)

[1]
PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data
2025Juntao Tan, Liangwei Yang et al.
[2]
Utilizing digital footprint analysis for end-to-end risk-based authentication in medical billing systems
2024Ayinoluwa Feranmi Kolawole, Shukurat Opeyemi Rahmon
[3]
DiaSynth: Synthetic Dialogue Generation Framework for Low Resource Dialogue Applications
2024Sathya Krishnan Suresh, Mengjun Wu et al.
[4]
Scaling Synthetic Data Creation with 1,000,000,000 Personas
2024Xin Chan, Xiaoyang Wang et al.
[5]
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
2024Zhangchen Xu, Fengqing Jiang et al.
[6]
Novel Interpretable and Robust Web-based AI Platform for Phishing Email Detection
2024Abdulla Al-Subaiey, M. Al-Thani et al.
[7]
Better Synthetic Data by Retrieving and Transforming Existing Datasets
2024Saumya Gandhi, Ritu Gala et al.
[8]
Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
2024Yiming Huang, Xiao Liu et al.
[9]
Teach LLMs to Phish: Stealing Private Information from Language Models
2024Ashwinee Panda, Christopher A. Choquette-Choo et al.
[10]
David versus Goliath: Can Machine Learning Detect LLM-Generated Text? A Case Study in the Detection of Phishing Emails
2024Francesco Greco, Giuseppe Desolda et al.
[11]
Faithful Persona-based Conversational Dataset Generation with Large Language Models
2023Pegah Jandaghi, XiangHai Sheng et al.
[12]
Magicoder: Empowering Code Generation with OSS-Instruct
2023Yuxiang Wei, Zhe Wang et al.
[13]
Adversarial Robustness of Phishing Email Detection Models
2023Parisa Mehdi Gholampour, Rakesh M. Verma
[14]
EmailSum: Abstractive Email Thread Summarization
2021Shiyue Zhang, Asli Celikyilmaz et al.
[15]
Comparative Analysis for Personality Prediction by Digital Footprints in Social Media
2021Valanarasu R
[16]
Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation
2021Samuel Rhys Cox, Yunlong Wang et al.
[17]
BERTScore: Evaluating Text Generation with BERT
2019Tianyi Zhang, Varsha Kishore et al.
[18]
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
2018Leland McInnes, John Healy
[19]
Personalizing Dialogue Agents: I have a dog, do you have pets too?
2018Saizheng Zhang, Emily Dinan et al.
[20]
DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
2017Yanran Li, Hui Su et al.

Showing 20 of 24 references

Founder's Pitch

"PersonaTrace generates realistic digital footprints using LLM agents to enhance personalized applications and machine learning models."

Synthetic Data GenerationScore: 7View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

4/4 signals

10

Series A Potential

0/4 signals

0

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 3/12/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.

Related Papers

Loading…