bit.analyze v0.2.0-rc1 — Release Candidate bit.analyze v0.2.0-rc1 is a pre-release candidate that extends the v0.1.0 structural-memory baseline with two experimentally validated layers: a bounded universal structural byte stream and a pre-semantic temporal multimodal association model. The release remains research soft...
MARCELO ROLDAO MATOS· Zenodo (CERN European Organi...· 0 citations
C2OGate is a research software and reproducibility archive for certifying whether a proposed optimization continuation is cost-dominant relative to an unchanged baseline continuation. Conditioned on one observed first-order transcript, the method retains the joint dependence of the two continuations’ first-hitting time...
This repository contains the data and code required to reproduce every result, table and figure in the article "Inter-class co-movement of retail electricity tariffs and the residential adjustment gradient: evidence from a new Latin American panel" (Utilities Policy). It comprises: (i) a reconstructed quarterly panel o...
Francisco Porles Ochoa· Zenodo (CERN European Organi...· 0 citations
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Brooks (1987) argued that no single technique would deliver an order-of-magnitude im-provement in software productivity. The community accepted this thesis but overlookedthe other half of Brooks’s argument: that cumulative, context-sensitive advances couldcollectively achieve what no single technique could. This paper...
Franny Philos Sophia· Zenodo (CERN European Organi...· 0 citations
This reproducibility package contains the complete computational materials supporting the reported statistical analyses. It includes the final Jupyter/Google Colab notebook, source and derived analytical datasets, statistical tables, figures, spatial outputs, software-environment information, and machine-readable resul...
Juan Francisco Agreda Vega, Magaly Tintaya Quispe, Evergisto Sare Lara et al.· Zenodo (CERN European Organi...· 0 citations
TypeSafe describes Jev as a typed decision model trained using Reinforcement Learning for Calibrated Decisions (RLCD). We evaluate its behavior at an agent authorization boundary, where software must allow, hold, or deny a proposed action. A historical audit of 150 proposals motivates two separate paired comparisons: J...
Junior Williams· Zenodo (CERN European Organi...· 0 citations
This monograph establishes the formal mathematical, computational, and architectural specification for Door 28 (Security: The Security Port and Sovereign Governance), the root cryptographic barrier and systemic immunity gateway of the realization monorepo. While Door 27 governs distributed Byzantine peer consensus, Doo...
Torjusen Marius Egerhei· Zenodo (CERN European Organi...· 0 citations
This versioned archive contains the implementation, frozen protocols, native interaction records, tests, audits, analyses, and manuscript sources for the Counterfactual Skill Transfer Test (CSTT). CSTT is a state-matched six-condition protocol that crosses source procedural compatibility with lexical similarity and inc...
Liang Song, Jiabao Zhai· Zenodo (CERN European Organi...· 0 citations
Overview This is the initial public release of the code associated with the paper "Image-Based Reinforcement Learning for Robust Mode Hop Recovery in External-Cavity Diode Lasers." The repository provides a simulation and reinforcement-learning framework for recovering an external-cavity diode laser from mode hops usin...
Jaeick Bae, Kyoungsik Yu, Yunheung Song et al.· Zenodo (CERN European Organi...· 0 citations
This article presents literature across four linked domains — Agile practices, AI adoption, Digital Transformation, and Environmental Sustainability Performance — alongside the moderating role of Digital Leadership. The nexus of digital innovation and environmental responsibility is one of the most strategic issues fac...
This package supports the study “Cohort-dependent normalization changes hierarchical assignments in a published regeneration classifier.” It contains analysis code, a Garnett compatibility adapter, saved perturbation definitions, comparison fixtures, 62 expected result tables, three figures, and reproducibility documen...
Heyang Han· Zenodo (CERN European Organi...· 0 citations
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.