Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Enhancing Reasoning Across GPT, Gemini, and Claude — Time-First Structural Prompting for Large Language Models
Enhancing Reasoning Across GPT, Gemini, and Claude — Time-First Structural Prompting for Large Language Models
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Author:
Kanazawa, Ryuki
Format:
Recurso digital
Published:
Zenodo
2025
Subjects:
Time-Primary Dimension
Time-First Theory
Self-Consistency Alignment
AI Prompt Stability
High-Dimensional Dynamics
Temporal Constraint System
Emergent Order
AI Behavior Modeling
Future-State Guidance
Theoretical Framework
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://doi.org/10.5281/zenodo.17796998
Similar Items
Time-First Structural Prompting: A New AI Prompt Framework for Enhancing LLM Reasoning
by: Kanazawa, Ryuki
Published: (2025)
Signals: Recursive Identity, Containment Loss, and Propagation in Open Architectures
by: Cardillo, Kayla
Published: (2025)
Human-AI Collaboration Protocol (HACP) v1.0: A Structural Framework for High-Fidelity Cognitive Alignment Author (作者) Liu, En-Yen (劉恩言)
by: Enyen, Liu
Published: (2026)
"Ethical Neutrinos: A Neuro-Symbolic Framework for Minimalist Ethical Alignment in Artificial Intelligence".
by: MANJARREZ, ANTONIO
Published: (2025)
Dimensional Consistency of the MyominAung Photon-Sea Theory
by: Aung, Myomin
Published: (2026)