This software and data package accompanies Marco Mantovanelli's preprint"A Divisor-Weighted Golomb Sequence: Zeta Asymptotics and ArithmeticFluctuations". It supports the computational study of OEIS A400220,the unique nondecreasing sequence A of positive integers in which each moccurs exactly B(m) = sum_{d|m} A(d) time...
Marco Mantovanelli· Zenodo (CERN European Organi...· 0 citations
TRACE (Trust, Runtime Attestation, and Compliance Evidence) proposes a portable record for claims about AI agent runtimes: workload identity, model, policy, data class, tool transcript, build provenance, and appraisal. It composes RATS/EAT, signatures, and transparency evidence into a format that a relying party can ev...
PCR-SAITS v1.1.0 This release adds CSDI support as the third backbone adapter in PCR-SAITS, alongside SAITS and BRITS. What's new Added CSDIBackbone Added public PCRCSDI adapter Added CSDI checkpoint save/load support Added deterministic imputation from CSDI diffusion samples Preserves observed values during imputation...
Sawet Somnugpong· Zenodo (CERN European Organi...· 0 citations
Standard-library Python research prototype of the OES-32 / OES-512 classical residual latch. A 32-value residual block is scored with S = 0.45·Peak + 0.35·RMS + 0.20·MeanAbs and latches when S ≥ τ. OES-512 applies the same latch to 16 contiguous blocks of 32, which gives a 16-bit coarse syndrome. The fixed default τ =...
Jean-François Brisson· Zenodo (CERN European Organi...· 0 citations
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🚀 What's Changed in v1.1.0 This release marks a major milestone in preparing the Exoplanet Transit Detection Pipeline for formal peer review with the Journal of Open Source Software (JOSS) and triggering an updated version snapshot on Zenodo. 📜 Academic Manuscript & Packaging JOSS Manuscript Draft: Added paper/paper....
UtkarshPandey-0· Zenodo (CERN European Organi...· 0 citations
TRACE (Trust, Runtime Attestation, and Compliance Evidence) proposes a portable record for claims about AI agent runtimes: workload identity, model, policy, data class, tool transcript, build provenance, and appraisal. It composes RATS/EAT, signatures, and transparency evidence into a format that a relying party can ev...
C++/HLS research scaffold for a qLDPC decoder: a minimal C++20 program that links Joschka Roffe's ldpc library through CMake FetchContent (OpenMP enabled), a Catch2 unit-test target, and a GF(2) sparse matrix-vector micro-benchmark used as a CI regression gate, plus Vitis HLS / Vivado / PetaLinux scripts targeting the...
Jean-François Brisson· Zenodo (CERN European Organi...· 0 citations
Autonomous AI-Based Cloud Security Monitoring and Attack Prediction System Using Deep Neural Networks presents a comprehensive approach to modern cloud cybersecurity by combining cloud monitoring, artificial intelligence, deep learning, anomaly detection, attack classification, threat prediction, risk assessment, and a...
Anantha Raman Rathinam, M. Sakthivel, Dr. J. Gladson Maria Britto· Zenodo (CERN European Organi...· 0 citations
Profile A sidecar to oes32-residual: a deterministic, standard-library-only Python telemetry-triage harness (residual latch, EVEN/ODD symmetry, FOLD8 continuity) for 32-element vectors. It evaluates a proposed 32-element state vector against a reference and returns a deterministic SAFE / LATCH containment decision plus...
Jean-François Brisson· Zenodo (CERN European Organi...· 2 citations
Normative OES-32 residual reference (ADR-001): a deterministic Python definition of the max-absolute residual between two 32-component vectors, with a strict > tolerance failure rule and executable contract tests. Contract. Input: two finite real-valued vectors of length 32 and a finite, non-negative tolerance. Compone...
Jean-François Brisson· Zenodo (CERN European Organi...· 12 citations
This document describes, building block by building block, how one might design an "artificial individual": a machine that does more than answer questions, with a body, needs, emotions, memories, and a personality that develops over time. The architecture draws on current knowledge from human neuroscience, psychology,...
Josselin Orta· Zenodo (CERN European Organi...· 0 citations
Browser-study source, 1,728 final-test observations, frozen policy decisions and offline score reproduction for a controlled comparison of contextual and fixed rendering policies. Mac and hosted Linux cohorts remain separate, and the cloud analysis is descriptive. Original software is MIT licensed; original research da...
Vishwak Thatikonda, Shravani Parsi· 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.
