Cover Image

Universal Basic Income with Time-Decaying Currency: Structural Effects on Essential Labor and Long-Term Formation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Yamada, Hitoshi
Format:	Preprint
Published:	2026
Subjects:	Computational Engineering, Finance, and Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cross-Asset Risk Management: Integrating LLMs for Real-Time Monitoring of Equity, Fixed Income, and Currency Markets
by: Yang, Jie, et al.
Published: (2025)

Imitation and Heterogeneity Shape the Resilience of Community Currency Networks
by: Ancona, Camilla, et al.
Published: (2025)

Dynamic Learning Rate Decay for Stochastic Variational Inference
by: Dinkel, Maximilian, et al.
Published: (2024)

Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting
by: Meyer, Marcel, et al.
Published: (2024)

Optimal design of unimorph-type cantilevered piezoelectric energy harvesters using level set-based topology optimization by considering manufacturability
by: Miyajima, Ken, et al.
Published: (2024)

Multi-Channel Currency: A Secure Method Using Semi-Quantum Tokens
by: Zhang, Yichi, et al.
Published: (2025)

Essentially non-hourglass and non-tensile-instability SPH elastic dynamics
by: Zhang, Shuaihao, et al.
Published: (2023)

LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
by: Zhu, Peng, et al.
Published: (2024)

Time Series Stock Price Forecasting Based on Genetic Algorithm (GA)-Long Short-Term Memory Network (LSTM) Optimization
by: Sha, Xinye
Published: (2024)

Channel, Trend and Periodic-Wise Representation Learning for Multivariate Long-term Time Series Forecasting
by: Song, Zhangyao, et al.
Published: (2025)

AI-Trader: Benchmarking Autonomous Agents in Real-Time Financial Markets
by: Fan, Tianyu, et al.
Published: (2025)

A Generative Adversarial Graph Neural Network for Synthetic Time Series Data
by: Gregnanin, Marco, et al.
Published: (2026)

The Statistical Significance of the Inclusion of Graph Neural Networks in the Financial Time Series Forecasting Problem
by: Gregnanin, Marco, et al.
Published: (2026)

Transformers Beyond Order: A Chaos-Markov-Gaussian Framework for Short-Term Sentiment Forecasting of Any Financial OHLC timeseries Data
by: Pathan, Arif
Published: (2025)

Transfer Learning-Based Surrogate Modeling for Nonlinear Time-History Response Analysis of High-Fidelity Structural Models
by: Ishikawa, Keiichi, et al.
Published: (2025)

A Novel Multivariate Bi-LSTM model for Short-Term Equity Price Forecasting
by: Oak, Omkar, et al.
Published: (2024)

A Deep Learning Framework for Medium-Term Covariance Forecasting in Multi-Asset Portfolios
by: Reis, Pedro, et al.
Published: (2025)

Real-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory Network
by: Wang, Zihao, et al.
Published: (2023)

On Long-Term Species Coexistence in Five-Species Evolutionary Spatial Cyclic Games with Ablated and Non-Ablated Dominance Networks
by: Cliff, Dave
Published: (2024)

Confusion-Aware Spectral Regularizer for Long-Tailed Recognition
by: Zhu, Ziquan, et al.
Published: (2026)

Making Tax Smart: Feasibility of Distributed Ledger Technology for building tax compliance functionality to Central Bank Digital Currency
by: Louvieris, Panos, et al.
Published: (2024)

On the Expressive Power of Behavior Structure
by: Wang, Cheng, et al.
Published: (2023)

FinMultiTime: A Four-Modal Bilingual Dataset for Financial Time-Series Analysis
by: Xu, Wenyan, et al.
Published: (2025)

The Paradox Of Just-in-Time Liquidity in Decentralized Exchanges: More Providers Can Sometimes Mean Less Liquidity
by: Capponi, Agostino, et al.
Published: (2023)

Text2Structure3D: Graph-Based Generative Modeling of Equilibrium Structures with Diffusion Transformers
by: Bleker, Lazlo, et al.
Published: (2026)

An Impulse-formed Navier-Stokes Solver based on Long-range Particle Flow Maps
by: Li, Zhiqi, et al.
Published: (2026)

Universal Differential Equations as a Common Modeling Language for Neuroscience
by: ElGazzar, Ahmed, et al.
Published: (2024)

Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving
by: Rao, Bin, et al.
Published: (2025)

3D Growth and Remodeling Theory Supports the Hypothesis of Staphyloma Formation from Local Scleral Weakening under Normal Intraocular Pressure
by: Braeu, Fabian A., et al.
Published: (2024)

CometNet: Contextual Motif-guided Long-term Time Series Forecasting
by: Wang, Weixu, et al.
Published: (2025)

AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay
by: Tang, Ziyi, et al.
Published: (2025)

Diffusion Transformers with Hybrid Conditioning for Structural Optimization
by: Lutheran, Aaron, et al.
Published: (2026)

Extremal Structures with Embedded Pre-Failure Indicators
by: Christensen, Christoffer Fyllgraf, et al.
Published: (2024)

Equivariant Hypergraph Diffusion for Crystal Structure Prediction
by: Liu, Yang, et al.
Published: (2025)

An Efficient PGD Solver for Structural Dynamics Applications
by: Vella, Clément, et al.
Published: (2024)

UniField: Joint Multi-Domain Training for Universal Surface Pressure Modeling
by: Zou, Junhong, et al.
Published: (2025)

Deep Inverse Rosenblatt Transport for Structural Reliability Analysis
by: Tyagi, Aryan, et al.
Published: (2025)

Protein Multimer Structure Prediction via Prompt Learning
by: Gao, Ziqi, et al.
Published: (2024)

Comparing Different Transformer Model Structures for Stock Prediction
by: Chen, Qizhao
Published: (2025)

The Redundancy Matrix as a Performance Indicator for Structural Assessment
by: Forster, David, et al.
Published: (2024)