# Cognibit: From Digital Exhaustion to Real-World Connection Through Gamified Territory Control and LLM-Powered Twin Networking

Source: [Cognibit: From Digital Exhaustion to Real-World Connection Through Gamified Territory Control and LLM-Powered Twin Networking](<https://www.sota2.com/research/paper/69d48fe17d0172140ec74757>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-04-08T05:00:12.103Z

Authors: Wanghao Ye, Sihan Chen, Yiting Wang, Shwai He, Bowei Tian, Guoheng Sun, Ziyi Wang, Ziyao Wang, Yexiao He, Zheyu Shen, Meng Liu, Yuning Zhang, Meng Feng, Yifei Dong, Yanhong Qian, Yang Wang, Siyuan Peng, Yilong Dai, Zhenle Duan, Joshua Liu, Lang Xiong, Hanzhang Qin, Ang Li

Published: 2026-04-06T01:56:20.000Z

## Abstract

We present an LLM-powered social discovery platform that uses digital twins to autonomously evaluate interpersonal compatibility through behavioral simulation. The platform unifies three key pillars: (1) digital twins that engage in autonomous multi-turn conversations on behalf of users to estimate compatibility, (2) gamified territory conquest mechanics that incentivize real-world exploration and create organic settings for in-person encounters, and (3) AI companions that preserve persistent shared memory across devices. Built upon CogniPair's cognitive architecture (Ye et al., 2026), validated on the Columbia Speed Dating dataset (551 participants), our system extends prior simulation-only matching into a fully deployed social discovery environment. Through deployment, we derive empirical cost-quality baselines and identify fundamental scaling bottlenecks that remain hidden in component-level testing alone.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Matching on Profiles n=1000 matches (synthetic)](<https://www.sota2.com/research/sota/matching-on-profiles-n-1000-matches-synthetic.md>): Matching; Profiles n=1000 matches (synthetic); Precision@5: 68.7.

- [Match Prediction on Columbia Speed Dating Dataset (test)](<https://www.sota2.com/research/sota/match-prediction-on-columbia-speed-dating-dataset-test.md>): Match Prediction; Columbia Speed Dating Dataset (test); Accuracy: 71.5.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2604.04351>)

[PDF](<https://arxiv.org/pdf/2604.04351.pdf>)