The Necessity of Imperfection: Reversing Model Collapse via Simulating Cognitive Boundedness

By Zhongjie Jiang

Published 2025-12-08

Everscope rating

959

Relevance to quantitative trading

9 / 10

Implementation complexity

8 / 10

Reproducibility

3 / 5

About this paper

Methodology: Prompt-driven Cognitive Computing Framework (PMCSF). Problem types: Generative Modeling, Natural Language Processing, Risk Management, Time Series Forecasting, Dimensionality Reduction, Anomaly Detection, Causal Inference, Zero-shot Learning, Transfer Learning.

arXiv:2512.01354 · Paper rankings

Open the interactive Everscope explorer for full analysis, charts, and paper battles.