Software

Software e strumenti

Repository di codice con identificatore persistente. Il software non è un articolo: ha versione e stato di manutenzione, non rivista né pagina.

11 repository, 11 con DOI, 10 attivi al 2026-09-21

Stato misurato il 2026-09-21: attivo = push negli ultimi 183 giorni; archiviato = segnato così su GitHub; il resto, manutenzione minima.

Il software non è un articolo

Il software ha versione e stato; l'articolo ha data e testo. Qui nulla ha rivista, volume o pagina. Chi arriva da un link diretto legge "Software" sull'elemento stesso.

DOI di concetto e DOI di versione

Quello di concetto identifica tutte le versioni e risolve all'ultima: usalo per parlare del software in generale. Quello di versione identifica quella eseguita: usalo per riprodurre un risultato.

SoftwareVersione 1.7.1attivo2026-08-16

Block storage decides the bill: audited public-cloud price capture and a deterministic 36-month TCO model

Audited public-cloud price capture (IBM Cloud br-sao, AWS sa-east-1, 2026-08-13) and a deterministic 36-month TCO model: block storage alone is USD 110,507 apart over the horizon.

DOI di concetto (tutte le versioni): https://doi.org/10.5281/zenodo.21955051
DOI di questa versione: https://doi.org/10.5281/zenodo.21968989
Repository: github.com/ulissesflores/block-storage-tco
Licenza · Linguaggio: Apache-2.0 · HTML

Cita questo software

Flores, Carlos Ulisses (2026). Block storage decides the bill: audited public-cloud price capture and a deterministic 36-month TCO model (Version 1.7.1) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.21968989

SoftwareVersione 1.0.0attivo2026-08-15

llm-memory-meter: measuring the real memory footprint of a local LLM from its official configuration

Measure the real memory footprint of a local LLM from its official config.json — the viral one-line KV-cache formula overestimates a 2026 hybrid model by up to 20x. Zero dependencies, every published number locked by tests.

DOI di concetto (tutte le versioni): https://doi.org/10.5281/zenodo.21941274
DOI di questa versione: https://doi.org/10.5281/zenodo.21941290
Repository: github.com/ulissesflores/llm-memory-meter
Licenza · Linguaggio: Apache-2.0 · Python
Complemento di (isSupplementTo): ulissesflores.com/artigos/memoria-llm-local

Cita questo software

Flores, Carlos Ulisses (2026). llm-memory-meter: measuring the real memory footprint of a local LLM from its official configuration (Version 1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.21941290

SoftwareVersione 1.0.0attivo2026-08-11

claude-bootstrap — opinionated Claude Code project scaffolder

Detection-first, profile-based scaffolder for Claude Code projects — emits a full .claude/ tree with license-audited, provenance-pinned skill bundles

DOI di concetto (tutte le versioni): https://doi.org/10.5281/zenodo.21894809
DOI di questa versione: https://doi.org/10.5281/zenodo.21894824
Repository: github.com/ulissesflores/claude-bootstrap
Licenza · Linguaggio: MIT · Python

Cita questo software

Flores, Carlos Ulisses (2026). claude-bootstrap — opinionated Claude Code project scaffolder (Version 1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.21894824

SoftwareVersione 1.0.0attivo2026-08-26

noisy-tv-instrumentation: measurement-noise capture in the intrinsic-motivation instrumentation of LLM agents

Execution-verified companion for 'Noisy-TV em agentes LLM': the noisy-TV problem reborn in the measurement channel of LLM-agent intrinsic motivation

DOI di concetto (tutte le versioni): https://doi.org/10.5281/zenodo.21764607
DOI di questa versione: https://doi.org/10.5281/zenodo.21764625
Repository: github.com/ulissesflores/noisy-tv-instrumentation
Licenza · Linguaggio: Apache-2.0 · Python

Cita questo software

Flores, Carlos Ulisses (2026). noisy-tv-instrumentation: measurement-noise capture in the intrinsic-motivation instrumentation of LLM agents (Version 1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.21764625

SoftwareVersione 1.0.0attivo2026-06-20

Blast-Radius Containment: a reproducible Monte Carlo model of ransomware lateral propagation under Zero Trust microsegmentation

Reproducible Monte Carlo model of ransomware lateral propagation and its containment by Zero Trust microsegmentation and behavioral detection.

DOI di concetto (tutte le versioni): https://doi.org/10.5281/zenodo.20769939
DOI di questa versione: https://doi.org/10.5281/zenodo.20769940
Repository: github.com/ulissesflores/blast-radius-containment
Licenza · Linguaggio: Apache-2.0 · Python

Cita questo software

Flores, Carlos Ulisses (2026). Blast-Radius Containment: a reproducible Monte Carlo model of ransomware lateral propagation under Zero Trust microsegmentation (Version 1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.20769940

SoftwareVersione 1.0.3attivo2026-05-18

ASP — Anticipating Shadow Points

Claude Code skill: Ant-Shadow-Point planning protocol with claude -p /goal subprocess execution kernel. Pre-mortem + Berkeley MAST 14-mode + validator subagent + non-violation TaskCreate contract. Multilingual docs (EN/ES/PT/IT/HE), MIT.

DOI di concetto (tutte le versioni): https://doi.org/10.5281/zenodo.20276631
DOI di questa versione: https://doi.org/10.5281/zenodo.20277015
Repository: github.com/ulissesflores/anticipating-shadow-points
Licenza · Linguaggio: MIT · Python

Cita questo software

Flores, Carlos Ulisses (2026). ASP — Anticipating Shadow Points (Version 1.0.3) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.20277015

SoftwareVersione 0.3.2attivo2026-05-10

Cellular Inference Mesh: Salabim DES of edge-cloud LLM inference under PACELC saturation

DOI di concetto (tutte le versioni): https://doi.org/10.5281/zenodo.20108648
DOI di questa versione: https://doi.org/10.5281/zenodo.20109260
Repository: github.com/ulissesflores/cellular-inference-mesh
Licenza · Linguaggio: Apache-2.0 · Python

Cita questo software

Flores, Carlos Ulisses (2026). Cellular Inference Mesh: Salabim DES of edge-cloud LLM inference under PACELC saturation (Version 0.3.2) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.20109260

SoftwareVersione 1.0.0attivo2026-04-02

TechGrowth DES: Stochastic Simulation of Kafka-Flink-Iceberg Pipeline with PACELC Network Partition Injection

Discrete-event simulation of Kafka-Flink-Iceberg pipelines under PACELC and network-partition stress.

DOI di concetto (tutte le versioni): https://doi.org/10.5281/zenodo.19244058
DOI di questa versione: https://doi.org/10.5281/zenodo.19244059
Repository: github.com/ulissesflores/mit508-techgrowth-des
Licenza · Linguaggio: Apache-2.0 · Python

Cita questo software

Flores, Carlos Ulisses (2026). TechGrowth DES: Stochastic Simulation of Kafka-Flink-Iceberg Pipeline with PACELC Network Partition Injection (Version 1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.19244059

SoftwareVersione 2.0.0manutenzione minima2026-02-15

Yape Architecture Simulation: Monolith vs. Cell-Based Resilience

DOI di concetto (tutte le versioni): https://doi.org/10.5281/zenodo.18641335
DOI di questa versione: https://doi.org/10.5281/zenodo.18645894
Repository: github.com/ulissesflores/mit507-yape-architecture-sim
Licenza · Linguaggio: Apache-2.0 · Jupyter Notebook

Cita questo software

Flores, Carlos Ulisses (2026). Yape Architecture Simulation: Monolith vs. Cell-Based Resilience (Version 2.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.18645894

SoftwareVersione 0.1.1attivo2026-05-11

LLM Contextizer

Zero-dependency Python CLI for turning codebases into token-efficient contexts for LLMs and research workflows.

DOI di concetto (tutte le versioni): https://doi.org/10.5281/zenodo.18343437
DOI di questa versione: https://doi.org/10.5281/zenodo.18343438
Repository: github.com/ulissesflores/repo2llm
Licenza · Linguaggio: Apache-2.0 · Python

Cita questo software

Flores, Carlos Ulisses (2026). LLM Contextizer (Version 0.1.1) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.18343438

SoftwareVersione 0.1.1attivo2026-04-02

Cyber-Financial Resilience via Little's Law and Bayesian LSTM (LR-BLSTM)

Research software for cyber-financial resilience modeling with stochastic systems, Little\'s Law, and LSTM forecasting.

DOI di concetto (tutte le versioni): https://doi.org/10.5281/zenodo.18275034
DOI di questa versione: https://doi.org/10.5281/zenodo.18275035
Repository: github.com/ulissesflores/cyberfinancial-resilience-lrblstm
Licenza · Linguaggio: Apache-2.0 · Python

Cita questo software

Flores, Carlos Ulisses (2026). Cyber-Financial Resilience via Little's Law and Bayesian LSTM (LR-BLSTM) (Version 0.1.1) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.18275035