Oct 2026· Zenodo (CERN European Organization for Nuclear Research)· 1 citation
Advanced Thermodynamics and Statistical Mechanics
Abstract
Version 1.0 of the entry guide to the Operational Thermodynamic Observers program, dated 15 October 2026. The five-page guide explains the current research question, distinguishes exact finite statements, synthetic tests and conditional reconstructions, and provides reading paths and clickable links to 18 current papers and supporting releases. Six earlier records are identified separately with their superseded claims and current replacements. The reading sequence introduces conditional phase and query structure, moving boundary-record descriptions and sufficient finite-time observable controls before the Jacobson and geometry-gravity studies. The guide keeps the assumptions and limits of each result explicit. It does not add a new physical theory, mathematical proof or experimental result. The proposed physical quantum-to-geometry and gravity bridge remains unclosed; independent specialist review remains outstanding. All 18 current DOIs were checked on 15 October 2026 against their public records and stated versions, using deposited PDF version labels where metadata did not specify a version. Internal cross-references were checked, including the approximate-projection stability result in Fault-Tolerant Observer Overlaps, Theorem 2, Section 4.1. The supersession statements describe the scientific scope of the current program; this guide does not itself formally withdraw or edit earlier Zenodo records. The macro synthesis preserves an evidence freeze of 24 August 2026 and the microphysical manuscript a freeze of 7 September 2026; their conditional and historical scope is retained. The deposit includes a linked PDF and editable DOCX. Itay Priiz is the author; AI tools assisted editorial consolidation. CC BY 4.0 applies to these guide files.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026